{"data":{"id":"daily:ai:2026-10-24","built_at":"2026-10-24T09:32:25.829082+00:00","cross_theater":[{"link":"Scraping, licensing and liability for AI training and overviews ↔ Neocloud financing stress and chip challengers to Nvidia: shared actor Meta — delaying contested scraping terms to 20 Nov 2026 while also creating a new Class C share and absorbing a ~$124B market loss to fund its AI buildout","theaters":["Scraping, licensing and liability for AI training and overviews","Neocloud financing stress and chip challengers to Nvidia"]},{"link":"Open-weights race: Muse Spark Open, Nemotron, Beam and on-device models ↔ Neocloud financing stress and chip challengers to Nvidia: shared actor Nvidia — showcasing European adoption of open models at GTC Berlin Oct 22 while positioned as the incumbent facing chip challengers amid debate over hyperscaler capex and leverage","theaters":["Open-weights race: Muse Spark Open, Nemotron, Beam and on-device models","Neocloud financing stress and chip challengers to Nvidia"]}],"data_url":"/data/daily/ai/2026-10-24.json","date":"2026-10-24","domain":"ai","editions":[{"built_at":"2026-10-24T09:32:25.829082+00:00","cycle":"Europe/Asia","label":"Europe/Asia morning","n":1,"sections":[{"name":"Scraping, licensing and liability for AI training and overviews","theater_id":"thr_scraping_licensing_and_liability_for_ai_training"},{"name":"Neocloud financing stress and chip challengers to Nvidia","theater_id":"thr_neocloud_financing_stress_and_chip_challengers_t"},{"name":"AI for scientific discovery and biotech drug development","theater_id":"thr_ai_for_scientific_discovery_and_biotech_drug_dev"},{"name":"Open-weights race: Muse Spark Open, Nemotron, Beam and on-device models","theater_id":"thr_open_weights_race_muse_spark_open_nemotron_beam_"},{"name":"Character.AI bankruptcy and Disney acqui-hire","theater_id":"thr_character_ai_bankruptcy_and_disney_acqui_hire"}],"summary":{"headline":"Meta bought three weeks on scraping terms and created new shares to fund AI buildout as financing stress spread from neoclouds to hyperscalers","the_day":["Meta created a new non-voting Class C share on Oct 21 to fund its AI buildout after its first cash burn in more than a decade and lost about $124 billion in market value on Oct 23 as financing stress broadened from neoclouds to hyperscalers.","Meta delayed its contested business terms to 20 Nov 2026 but left scraping language unchanged, shifting pressure to EU and UK regulators to intervene before enforcement.","Meta paused and then restored Muse sharing after a design flaw exposed 6,800+ chat links via passive DNS, adding a separate liability warning about how AI outputs are shared.","Nvidia showcased European banks and governments building proprietary systems on open models at GTC Berlin on Oct 22, but no new independent benchmarks for Muse Spark Open or Beam appeared and benchmark sources are currently not updating, leaving the measured gap to closed frontier unchanged.","OpenAI and Hugging Face demonstrations involving biological data and a clarification that Claude's scorpion-toxin binders are early binding designs not a functional antivenom were all reported on Oct 22 with no new wet-lab validation reported.","Disney hiring most of Character.AI's staff and pushing the company toward bankruptcy for lawsuit protection remains reported only, with no researched confirmation or filings in the last three days."]}}],"geoledger_run":{"calls":4,"created":0,"errors":[],"events":0,"grid":0,"notes":[]},"market_view":{"lines":[{"made_at":"2026-10-21","market":0.9995,"market_id":"3741671","ours":0.08,"question":"Will Russia and Ukraine hold any diplomatic meeting by October 31, 2026?","text":"Will Russia and Ukraine hold any diplomatic meeting by October 31, 2026? Our forecast 8% (made 2026-10-21); the market prices it at 100%.","url":"https://polymarket.com/event/russia-x-ukraine-any-diplomatic-meeting-byptptpt-20260819"},{"made_at":"2026-10-18","market":0.85,"market_id":"1469737","ours":0.04,"question":"Will Mojtaba Khamenei be head of state in Iran end of 2026?","text":"Will Mojtaba Khamenei be head of state in Iran end of 2026? Our forecast 4% (made 2026-10-18); the market prices it at 85%.","url":"https://polymarket.com/event/iran-leader-end-of-2026"},{"made_at":"2026-10-23","market":0.8055,"market_id":"2941849","ours":0.03,"question":"Will the Bank of Canada increase the target for the overnight rate by 25 bps at the October interest rate announcement?","text":"Will the Bank of Canada increase the target for the overnight rate by 25 bps at the October interest rate announcement? Our forecast 3% (made 2026-10-23); the market prices it at 81%.","url":"https://polymarket.com/event/bank-of-canada-decision-in-october-20260715203359314"},{"made_at":"2026-10-20","market":0.875,"market_id":"1194643","ours":0.12,"question":"Will Iliana Iotova win the next Bulgarian presidential election?","text":"Will Iliana Iotova win the next Bulgarian presidential election? Our forecast 12% (made 2026-10-20); the market prices it at 88%.","url":"https://polymarket.com/event/bulgaria-presidential-election"}],"note":"Ohmega's own forecasts set against Polymarket prices, as an internal accuracy check. Paper trading only, not financial advice. A gap means we disagree, not that we are right: see the track record for who has been closer.","page":"/intel/track-record"},"quiet":[],"researched":true,"schema":"ohmega.daily/1","summary":{"headline":"Meta bought three weeks on scraping terms and created new shares to fund AI buildout as financing stress spread from neoclouds to hyperscalers","the_day":["Meta created a new non-voting Class C share on Oct 21 to fund its AI buildout after its first cash burn in more than a decade and lost about $124 billion in market value on Oct 23 as financing stress broadened from neoclouds to hyperscalers.","Meta delayed its contested business terms to 20 Nov 2026 but left scraping language unchanged, shifting pressure to EU and UK regulators to intervene before enforcement.","Meta paused and then restored Muse sharing after a design flaw exposed 6,800+ chat links via passive DNS, adding a separate liability warning about how AI outputs are shared.","Nvidia showcased European banks and governments building proprietary systems on open models at GTC Berlin on Oct 22, but no new independent benchmarks for Muse Spark Open or Beam appeared and benchmark sources are currently not updating, leaving the measured gap to closed frontier unchanged.","OpenAI and Hugging Face demonstrations involving biological data and a clarification that Claude's scorpion-toxin binders are early binding designs not a functional antivenom were all reported on Oct 22 with no new wet-lab validation reported.","Disney hiring most of Character.AI's staff and pushing the company toward bankruptcy for lawsuit protection remains reported only, with no researched confirmation or filings in the last three days."]},"theaters":[{"bottom_line":"Meta bought three weeks by delaying its contested business terms to 20 Nov 2026, but left the scraping language intact despite publisher and regulator pressure. The pause-and-restore of Muse sharing after 6,800+ discoverable chat links added a separate liability warning about how AI outputs are shared. Pressure has shifted from bilateral complaints to EU and UK regulators being asked to intervene before enforcement.","brief_slug":null,"context":[{"source":"https://the-decoder.com/two-german-courts-now-hold-google-liable-for-what-its-ai-overviews-say/","verification":"researched","what":"Munich I Regional Court ruled 28 May 2026 (26 O 869/26) that Google is directly liable for false statements in AI Overviews as its own statements, not neutral links; Aachen Regional Court followed 24 Sept 2026 with emergency injunction barring false AI Mode statements about a doctor, explicitly relying on Munich reasoning, with fines up to 250,000 euros per violation.","when":"2026-05-28","why_relevant":"Establishes the liability precedent publishers now cite to demand licensing and to argue AI Overviews/Mode are content providers not shielded by DSA hosting rules; Aachen shows other German courts adopting it."},{"source":"https://the-decoder.com/two-german-courts-now-hold-google-liable-for-what-its-ai-overviews-say/","verification":"researched","what":"Google appealed the Munich ruling then settled, so no higher court ruled on the reasoning; neither side disclosed terms.","when":"2026-05-28","why_relevant":"Leaves Munich reasoning untested on appeal but still citable by other courts, increasing uncertainty for Google and other AI search providers."},{"source":"https://www.straitstimes.com/world/google-boosts-news-and-link-visibility-in-ai-mode","verification":"researched","what":"Publishers reported steep referral drops after AI Overviews: Chartbeat 40% drop in Google traffic for news sites July 2025-July 2026; Reuters Institute 33% drop in Google organic referrals to 2,500 sites Nov 2024-Nov 2025.","when":"2026-10-15","why_relevant":"Traffic loss is the economic harm publishers cite to demand payment and to support competition/copyright complaints against scraping and AI answers."}],"developments":[{"actors":["Meta","News/Media Alliance","European Publishers Council","UK Competition and Markets Authority"],"detail":"Meta delayed enforcement of updated Commercial Terms and Self-Serve Ad Terms for business accounts from 30 Oct to 20 Nov 2026. Spokesperson Daniel Roberts said 23 Oct the delay is to explain what is changing, including that content owners can still use robots.txt. As of 23 Oct no version of the terms includes robots.txt language, and the only change was the date.","headline":"Meta delays contested business terms to 20 Nov 2026 but leaves scraping language unchanged","place":null,"significance":"Delay eases immediate deadline but does not resolve core dispute over whether contract terms can authorize scraping entire publisher sites for AI; keeps EU/UK regulatory intervention on the table before enforcement.","sources":["https://www.theverge.com/tech/1017450/meta-business-terms-delayed-ai-scraping","https://www.niemanlab.org/2026/10/meta-delays-rollout-of-terms-that-would-allow-broad-scraping-of-news-sites-legal-experts-are-still-skeptical/"],"statements":[],"verification":"researched","when":"2026-10-23","where":"United States"},{"actors":["Meta","Claroc"],"detail":"Security firm Claroc found more than 6,800 Muse share hostnames under cf.metaaiusercontent.com via one passive-DNS query because share URLs embed conversation title plus random ID in the subdomain, making them enumerable by title. Opening a few hundred without login exposed sensitive chats including executive-search prep, CEO revenue review, loan application and bank fraud alert. Meta paused sharing 20 Oct while reviewing, then re-enabled 22 Oct saying the fix replaced old artifact URLs (documents/images inside Muse) and that chat sharing was not affected.","headline":"Meta paused and restored Muse sharing after design flaw exposed thousands of chat links via passive DNS","place":null,"significance":"Shows liability and privacy risk from AI product design itself, not just training data — discoverable share links can leak confidential user content and invite regulatory scrutiny separate from scraping fight.","sources":["https://www.wired.com/story/a-design-flaw-in-share-links-exposes-users-personal-conversations-with-meta-muse/","https://www.theverge.com/tech/1014627/meta-muse-ai-sharing-ai-chats","https://blog.claroc.io/ghostshares-muse-passive-dns/","https://www.theverge.com/tech/1017066/meta-muse-sharing-back-on-artifiacts"],"statements":[],"verification":"researched","when":"2026-10-22","where":"United States"},{"actors":["News/Media Alliance","European Publishers Council","Meta","James Grimmelmann","Matt Topic"],"detail":"On 23 Oct News/Media Alliance wrote to CEO Mark Zuckerberg demanding revision/withdrawal, saying free harvesting would cripple licensing market. On 20 Oct European Publishers Council wrote to EU competition chief Teresa Ribera and tech chief Henna Virkkunen asking to press Meta to put terms on hold before 30 Oct and check EU copyright/competition law; UK Competition and Markets Authority also called Meta in. Legal experts James Grimmelmann and Matt Topic said revised terms still allow broad scraping because 'develop' can include 'train' and 'business product' and 'associated with your products or services' are undefined and could cover entire sites.","headline":"Publishers escalate to EU and UK regulators as legal experts say revised Meta terms still permit training","place":null,"significance":"Moves dispute from publisher complaints to formal competition/copyright review, raising likelihood of interim measures before 20 Nov and signaling that removing the word 'train' did not satisfy licensing demands.","sources":["https://www.newsmediaalliance.org/letter-to-meta-demanding-withdrawal-of-new-terms-of-use/","https://www.politico.eu/article/publishers-press-brussels-and-london-to-stop-metas-new-ai-terms/","https://www.theverge.com/tech/1017082/meta-terms-update-ai-training-concerns","https://www.niemanlab.org/2026/10/meta-delays-rollout-of-terms-that-would-allow-broad-scraping-of-news-sites-legal-experts-are-still-skeptical/"],"statements":[],"verification":"researched","when":"2026-10-23","where":"Brussels, London, Washington"}],"edition":1,"escalation":{"direction":"rising","pace":"gradual"},"headline":"Meta delays contested scraping terms to November 20 as publishers escalate to EU and UK regulators","key_figures":[{"as_of":"2026-10-23","baseline":null,"baseline_label":"","label":"Muse share hostnames found via one passive-DNS query","source":"https://www.wired.com/story/a-design-flaw-in-share-links-exposes-users-personal-conversations-with-meta-muse/","unit":"hostnames","value":6800},{"as_of":"2026-09-24","baseline":null,"baseline_label":"","label":"Maximum fine per violation set by Aachen court for breaching AI Mode injunction","source":"https://the-decoder.com/two-german-courts-now-hold-google-liable-for-what-its-ai-overviews-say/","unit":"euros","value":250000},{"as_of":"2026-10-15","baseline":null,"baseline_label":"","label":"Drop in Google traffic for news sites July 2025-July 2026 (Chartbeat)","source":"https://www.straitstimes.com/world/google-boosts-news-and-link-visibility-in-ai-mode","unit":"percent","value":40}],"map":null,"name":"Scraping, licensing and liability for AI training and overviews","numbers":{"actors":[],"as_of":"2026-10-24","trackers":[]},"on_record":[],"outlook":"Regulatory intervention before 20 Nov is likely to remain the central driver, given publishers have now petitioned EU and UK authorities and legal experts assess the revised terms still permit training. A formal EU competition check or interim measures is plausible but not certain, resting on whether Brussels treats the terms as prima facie competition infringement. Further German injunctions citing Munich/Aachen reasoning are likely if AI Overviews produce new false statements.","pulses":[],"saga":"The fight is between AI labs that need vast web data to train models and power AI search answers, and publishers and media regulators who want permission and payment for that use. Labs have argued their tools are neutral intermediaries that just link to others' content, while German regulators and courts have treated AI Overviews and AI search as content providers responsible for what they say, removing the liability shield for merely hosting others' material.","since_yesterday":[{"kind":"escalated","what":"Meta delay to 20 Nov and publisher escalation to EU/UK regulators moved beyond the 17 Oct walk-back noted on 19 Oct; no substantive fix to scraping language yet."},{"kind":"new","what":"Muse sharing flaw and pause/restore 20-22 Oct added a new liability dimension around AI output sharing, not present in previous section."}],"temperature":{"coverage":"falling coverage","heat":2.64,"prior_share":0.0612,"recent_share":0.0125,"trend":"cooling"},"theater_id":"thr_scraping_licensing_and_liability_for_ai_training","watch_next":["Whether Meta publishes revised terms before 20 Nov that explicitly respect robots.txt and define 'develop' and 'business product'","Whether EU Commission or UK CMA opens formal review or seeks interim measures on Meta terms","Whether additional German or EU courts issue injunctions against Google or others citing Munich/Aachen AI Overviews liability reasoning"]},{"bottom_line":"Financing stress broadened from neoclouds to hyperscalers in the last three days. Meta on Oct 21 created a new non-voting Class C share to fund its AI buildout after reporting its first cash burn in more than a decade, and lost about $124 billion in market value on Oct 23. CoreWeave distress levels were unchanged on no new pricing, while the debate over whether AI debt is systemic or overblown sharpened.","brief_slug":null,"context":[{"source":"https://www.theverge.com/ai-artificial-intelligence/1014045/coreweave-stock-debt-sector-ai","verification":"researched","what":"CoreWeave bonds due 2031 yielded ~15-15.78% and 5-year CDS sat above 1,000 bps in mid-October, with shares down ~36% month-to-date and HSBC at Reduce/$39, defining distressed territory.","when":"2026-10-15","why_relevant":"Establishes the distressed baseline that Meta's funding move now extends to hyperscalers; watch for any new yields, CDS or rating action."},{"source":"https://techcrunch.com/2026/10/19/amazon-is-taking-its-biggest-shot-at-nvidia-yet-with-new-torchneuron-dev-tool/","verification":"researched","what":"AWS released TorchNeuron and Google open-sourced TorchTPU on Oct 19-20 as native PyTorch backends for Trainium2/3 and TPUs, allowing one-line porting and removing CUDA rewrites.","when":"2026-10-19","why_relevant":"The parallel technology challenge to Nvidia's moat that frames why hyperscalers are spending heavily despite funding stress."},{"source":"https://techcrunch.com/2026/10/19/nscale-and-anthropic-are-reportedly-in-talks-for-yet-another-45-billion-compute-deal/","verification":"researched","what":"Nscale and Anthropic signed a first $45B/460MW deal in August 2026 and were reported Oct 19 to be in talks for a second $45B deal, while Nscale targeted a $30B IPO facing pushback to $16-19B and Microsoft exited its Loughton, England site for 23,000 chips.","when":"2026-08-01","why_relevant":"The contracted-revenue model underpinning neocloud leverage; second-deal confirmation and IPO pricing remain the near-term funding test."},{"source":"https://techcrunch.com/2026/10/19/tenstorrent-hits-6-2b-valuation-to-scale-open-weight-ai-chips/","verification":"researched","what":"Tenstorrent closed $1.5B Series E at $6.2B post-money on Oct 19 to scale open-architecture Galaxy servers.","when":"2026-10-19","why_relevant":"Shows capital still flowing to Nvidia challengers even as neocloud debt reprices."}],"developments":[{"actors":["Meta"],"detail":"Meta announced Oct 21 at Q3 earnings it will create a new class of non-voting Class C common stock as a one-time dividend of one Class C share per Class A/B share held, effective Jan 19 2027, to be used for capital raising, employee compensation and acquisitions while preserving voting control. Q3 revenue was $64.6B up 26% YoY, but free cash flow was -$2.12B, its first cash burn in more than a decade, with $82.45B cash/securities and $32.79B operating cash flow. 2026 capex guidance was narrowed to $135-145B. On Oct 23 Meta lost about $124B in market value in one session as Nasdaq fell 2.6% while Dow was flat.","headline":"Meta creates non-voting Class C stock to fund AI buildout after first cash burn in decade","place":null,"significance":"Even the cash-richest hyperscaler is turning to equity dilution to sustain AI capex, confirming the funding test has moved beyond neocloud debt to hyperscaler balance sheets and was immediately repriced by markets.","sources":["https://techcrunch.com/2026/10/21/meta-wants-to-pay-for-its-broad-ai-buildout-with-a-newly-created-class-of-stock/","https://www.theverge.com/tech/1015799/meta-shares-class-ai-q3-2026-earnings","https://investor.atmeta.com/investor-news/press-release-details/2026/Meta-Reports-Third-Quarter-2026-Results/default.aspx","https://news.cgtn.com/news/2026-10-23/From-debt-to-dilution-the-AI-buildout-meets-its-funding-test-1RtH7blOzwk/p.html"],"statements":[],"verification":"researched","when":"2026-10-21","where":"Menlo Park, California"},{"actors":["Blackstone","S&P Global Ratings"],"detail":"At TechCrunch Disrupt on Oct 21, Blackstone N1 head Jas Khaira said fears over AI-buildout debt are overblown, that Blackstone is the largest owner of compute outside hyperscalers and debt is ultimately backed by the most creditworthy companies (Microsoft, Meta), citing its $2.3B 2023 CoreWeave loan and $10B Firmus facility. S&P Global warned Oct 19 that top six US hyperscalers will spend more than $7 trillion on data centers and AI capex from 2025-2030, with AI infra to exceed $1.3T by 2027, and that hyperscalers likely have more AI-linked debt than disclosed with much neocloud paper in private credit/annuity portfolios. Large tech firms have raised ~$250B in bonds year-to-date in 2026, projected near $320B (+60% YoY), while hyperscaler capex of $750-850B heading to $1T exceeds operating cash flow.","headline":"Blackstone says AI debt fears overblown as S&P warns of $7T hyperscaler capex and hidden leverage","place":null,"significance":"The credit narrative is now openly contested: private-credit sponsors defend collateral quality while rating agencies flag under-disclosed leverage and a capex trajectory that outruns cash flow.","sources":["https://techcrunch.com/2026/10/21/blackstones-jas-khaira-says-fears-over-ai-buildout-debt-are-overblown/","https://www.channelnewsasia.com/business/top-hyperscalers-likely-have-more-ai-linked-debt-now-known-sp-global-warns-6472816","https://news.cgtn.com/news/2026-10-23/From-debt-to-dilution-the-AI-buildout-meets-its-funding-test-1RtH7blOzwk/p.html"],"statements":[],"verification":"researched","when":"2026-10-21","where":"San Francisco, California"}],"edition":1,"escalation":{"direction":"rising","pace":"gradual"},"headline":"Meta creates new share class to fund AI buildout as cash burn spooks market","key_figures":[{"as_of":"2026-09-30","baseline":null,"baseline_label":"","label":"Meta Q3 2026 revenue","source":"https://investor.atmeta.com/investor-news/press-release-details/2026/Meta-Reports-Third-Quarter-2026-Results/default.aspx","unit":"USD","value":64.6},{"as_of":"2026-09-30","baseline":null,"baseline_label":"","label":"Meta Q3 2026 free cash flow","source":"https://investor.atmeta.com/investor-news/press-release-details/2026/Meta-Reports-Third-Quarter-2026-Results/default.aspx","unit":"USD","value":-2.12},{"as_of":"2026-10-15","baseline":1000,"baseline_label":"distressed threshold","label":"CoreWeave 5-year CDS spread","source":"https://www.cnbc.com/2026/10/15/coreweave-credit-default-swaps-hit-distress-levels-as-investors-sour-on-ai-debt.html","unit":"bps","value":1038},{"as_of":"2026-10-22","baseline":null,"baseline_label":"","label":"US total public debt outstanding","source":"https://fiscaldata.treasury.gov/datasets/debt-to-the-penny/","unit":"USD trillion","value":40.44}],"map":null,"name":"Neocloud financing stress and chip challengers to Nvidia","numbers":{"actors":[],"as_of":"2026-10-24","trackers":[]},"on_record":[],"outlook":"Financing stress is likely to stay elevated while capex guidance remains above operating cash flow and neocloud paper stays in private credit. Whether Meta's equity route eases pressure or signals broader dilution risk is roughly even and will turn on bond-market appetite for AI-linked issuance and any CoreWeave refinancing or rating action. Decoupling via TorchNeuron/TorchTPU is unlikely to move near-term utilization or yields.","pulses":[{"band":"elevated","change_24h":0,"change_7d":0,"id":"pls_ai_geopolitics_compute_control_erosion","name":"Compute Control Erosion","position":35}],"saga":"Artificial intelligence runs on expensive, power-hungry computing. Nvidia supplies most of the chips and a few large cloud providers supply the data centers, while specialist neoclouds borrow heavily to buy Nvidia hardware and rent it to model makers like Anthropic. That creates a financial contest over whether debt-funded hardware can stay utilized enough to service loans, and a technology contest as big clouds and startups build their own chips to cut dependence on Nvidia.","since_yesterday":[{"kind":"new","what":"Meta Class C creation, Q3 cash burn and Oct 23 market drop — new hyperscaler funding stress not in Oct 21 section"},{"kind":"new","what":"Blackstone pushback vs S&P hidden-debt warning — new contested credit narrative"},{"kind":"unchanged","what":"CoreWeave yields/CDS, Nscale second $45B deal confirmation, TorchNeuron/TorchTPU adoption metrics, Firmus IPO — no new data since Oct 21; watch items still pending"}],"temperature":{"coverage":"steady coverage","heat":2.56,"prior_share":0.0299,"recent_share":0.0187,"trend":"steady"},"theater_id":"thr_neocloud_financing_stress_and_chip_challengers_t","watch_next":["CoreWeave bond yields, 5-year CDS and any refinancing, guarantee or rating action","Whether Nscale-Anthropic second $45B deal is confirmed and at what terms, and Nscale IPO pricing vs $16-19B pushback","Meta Class C dividend mechanics and any follow-on equity or debt issuance to fund $135-145B capex","Early TorchNeuron/TorchTPU adoption — Hugging Face downloads, vLLM/SGLang benchmarks on Trainium/TPU vs Nvidia"]},{"bottom_line":"The last three days added demonstrations of scale and access rather than new lab proof. OpenAI and Hugging Face showed faster, broader ways to work with biological data, while a corrective report clarified that Claude's scorpion-toxin binders are early binding designs, not a functional antivenom. No new wet-lab validation was reported for the binders or the antimicrobial peptide candidate.","brief_slug":null,"context":[{"source":"https://openai.com/index/introducing-gpt-rosalind/","verification":"researched","what":"OpenAI introduced GPT-Rosalind on April 16, 2026 as a frontier reasoning model for life sciences and Rosalind Workbench as a central research environment, with an Academic Plan offering free seats to eligible labs.","when":"2026-04-16","why_relevant":"Frames the Orchestra Bio acquisition and the new mouse-brain agent workflow as extensions of an existing life-sciences stack, not standalone demos."},{"source":"https://www.anthropic.com/news/claude-discovers-novel-enzyme-system","verification":"researched","what":"Anthropic's Bay Area biology lab, opened spring 2026 for BSL-1 and BSL-2 work, previously used ~950 Claude agents to discover a novel ART enzyme system in jumbo phages.","when":"2026-09-23","why_relevant":"Shows the scorpion-binder work sits in a longer push to use Claude agents for autonomous hypothesis generation and testing, where lab validation determines value."}],"developments":[{"actors":["OpenAI"],"detail":"OpenAI described scaling AI research for complex biological data using thousands of agents, reported by The Decoder as analyzing mouse brain data in 32 minutes versus months for humans. Both items are single-source reports with no independent replication or methods detail in the headlines provided.","headline":"OpenAI described thousands of agents analyzing mouse brain data in 32 minutes","place":null,"significance":"If reproducible, massively parallel agent analysis could shorten early-stage biological data work, but speed alone does not show biological insight or lab validation.","sources":["https://openai.com/index/scaling-ai-research-for-complex-biological-data","https://the-decoder.com/openai-agents-analyze-mouse-brain-data-in-32-minutes-a-job-that-would-take-humans-months/"],"statements":[],"verification":"reported","when":"2026-10-22","where":"unknown"},{"actors":["Hugging Face"],"detail":"Wired reported on Oct 22 that Hugging Face released a new AI biology model that lets users chat with DNA, implying a conversational interface for genomic sequence queries. No performance metrics or validation details were in the headline provided.","headline":"Hugging Face released AI biology model for chatting with DNA","place":null,"significance":"A chat interface could broaden access to sequence analysis beyond specialists, but utility depends on accuracy and independent evaluation not yet shown.","sources":["https://www.wired.com/story/hugging-face-new-ai-biology-model-chat-with-dna/"],"statements":[],"verification":"reported","when":"2026-10-22","where":"unknown"},{"actors":["Anthropic","Claude"],"detail":"The Verge reported Oct 22 that Claude did not invent scorpion antivenom, framing the Oct 20 claim of 17 validated protein binders against scorpion neurotoxins as binding in the lab, not demonstrated neutralization or a therapeutic.","headline":"Coverage clarified Claude's scorpion binders are not a functional antivenom","place":null,"significance":"Tempers near-term therapeutic expectations and refocuses attention on the still-pending neutralization tests in cells or animals.","sources":["https://www.theverge.com/ai-artificial-intelligence/1016443/anthropic-claude-citrini-vibecoding-scorpion-antivenom"],"statements":[],"verification":"reported","when":"2026-10-22","where":"unknown"}],"edition":1,"escalation":{"direction":"steady","pace":"gradual"},"headline":"OpenAI showed agents analyzing mouse brain data in minutes as new biology models arrived and scorpion-binder hype was tempered.","key_figures":[],"map":null,"name":"AI for scientific discovery and biotech drug development","numbers":{"actors":[],"as_of":"2026-10-24","trackers":[]},"on_record":[],"outlook":"In the next days, further demos of agent-scale analysis and sequence-chat tools are likely, but wet-lab validation remains the gating step. It is unlikely that binder neutralization or peptide validation results appear within days; roughly even that additional technical detail on the mouse-brain workflow and the DNA model emerges to allow independent assessment.","pulses":[],"saga":"Frontier AI labs including Anthropic with Claude, OpenAI, and Google DeepMind with Gemini are building large models and pushing them beyond chat into laboratory science. Biotech drug development tries to find and test new biological molecules that could become medicines, and the idea is AI can help design or screen those molecules and help with research steps.","since_yesterday":[{"kind":"new","what":"New demonstrations of scale and access: OpenAI's thousands-of-agents mouse-brain analysis and Hugging Face's chat-with-DNA model, plus a corrective framing that Claude's binders are not an antivenom. No new wet-lab results for the 17 binders or the antimicrobial peptide candidate."},{"kind":"unchanged","what":"Watched items from Oct 21 remain pending: binder neutralization, peptide wet-lab validation, and Orchestra Bio integration timeline."}],"temperature":{"coverage":"steady coverage","heat":2.22,"prior_share":0.0149,"recent_share":0.0187,"trend":"steady"},"theater_id":"thr_ai_for_scientific_discovery_and_biotech_drug_dev","watch_next":["Any wet-lab neutralization data for the 17 scorpion-toxin binders, including testing against venom-purified toxin","Wet-lab validation outcome for the 97-aa bacteriocin candidate from the Antigravity workflow","Independent detail or replication of the mouse-brain agent analysis and technical specs for Hugging Face's DNA-chat model"]},{"bottom_line":"Nvidia's GTC Berlin Oct 22 showcases moved the open-weights story from model releases to scaled adoption, with European banks and governments cited as building proprietary systems on open models. No new independent benchmarks for Muse Spark Open or Beam appeared in the last three days, so the measured gap to closed frontier remains unchanged with high confidence, and benchmark sources are currently not updating.","brief_slug":null,"context":[{"source":"https://research.meta.ai/blog/muse-spark-open","verification":"researched","what":"Meta released Muse Spark Open Oct 15 as open-weight frontier multimodal MoE (~816B total, ~42B active per token, 256 experts per layer with 8 routed, 62 layers, 1M-token context, text/images/audio/video in, text out) under Muse Model License with weights on Hugging Face, SageMaker, Google Model Garden, Microsoft Foundry and hosted inference via Baseten, Fireworks, Groq, Modal, Nebius, OpenRouter, Together AI; optimized for two Apple M5 Ultra Mac Studios via MLX (512GB per machine, 1.2 TB/s).","when":"2026-10-15","why_relevant":"Defines the frontier open-weight baseline that adoption and benchmark gaps are measured against."},{"source":"https://blogs.nvidia.com/blog/nemotron-3-5-super-vl/","verification":"researched","what":"Nvidia released Nemotron 3.5 Super VL (120B) and Bolt 74B-A9B 24GB Oct 15, with Bolt E4B 4GB scheduled Oct 23, trained on ~26T tokens and post-trained with ~3.8M samples plus RL, shipping with open weights/datasets/recipes and NIM/Dynamo serving (up to 8x users, 85% lower latency).","when":"2026-10-15","why_relevant":"Data-center-to-edge open model stack whose Oct 23 edge release is a watched scaling signal."},{"source":"https://reflection.ai/blog/introducing-beam","verification":"researched","what":"Reflection AI introduced Beam Oct 5 and released weights Oct 16: 501B total, 23B active per token, 52 layers, 256 experts per layer (8 routed), 1M context, text-in/text-out, Apache 2.0, pretrained on 23.8T tokens with RL over 100M rollouts on 10.5K GB300s.","when":"2026-10-16","why_relevant":"Third frontier open-weight entrant in the Oct surge; benchmark gap watches include Beam."},{"source":"https://github.com/deepseek-ai/DeepInfer","verification":"researched","what":"DeepSeek open-sourced DeepInfer Oct 20 under Apache 2.0 as its production inference framework powering V4.1-Flash, built on vLLM with FlashMLA/DeepGEMM/DeepEP/TileKernels, supporting NVIDIA SM100 (Blackwell) and Huawei Ascend 950 NPUs.","when":"2026-10-20","why_relevant":"Extended the Oct 15-16 model surge into the inference stack, lowering cost to self-host frontier open models."},{"source":"https://the-decoder.com/deepseek-v4-1-flash-1017-beats-larger-rivals-in-agentic-tasks-while-once-again-massively-cutting-per-task-costs/","verification":"researched","what":"DeepSeek released DeepSeek-V4.1-Flash-1017 Oct 17 as open-weight MIT-licensed update reporting 77.0% on DeepSWE v1.1 at ~$0.20/task vs 74.2% at ~$0.50/task for predecessor.","when":"2026-10-17","why_relevant":"Cost breakthrough cited as evidence open weights closing on closed labs on agentic tasks."},{"source":"https://techcrunch.com/2026/10/19/tenstorrent-hits-6-2b-valuation-to-scale-open-weight-ai-chips/","verification":"researched","what":"Tenstorrent closed $1.5B Series E Oct 19 at $6.2B post-money led by Trace Capital and Innovation X to scale Galaxy servers for open-weight models and video generation and advance AI/CPU IP licensing.","when":"2026-10-19","why_relevant":"Open-weight chip push providing alternative compute for self-hosting frontier open models."}],"developments":[{"actors":["Nvidia","Revolut","Starling","Lloyds","bunq","NatWest","Modulr","Santander"],"detail":"At GTC Berlin on Oct 22, Nvidia said European financial services organizations are building proprietary intelligence on open models: Revolut PRAGMA on Blackwell Ultra (80M customers, 3x scale), Starling Intelligence on UK sovereign cloud, Lloyds ATUM on RTX PRO 6000, plus bunq, NatWest, Modulr and Santander with Kumo models.","headline":"Nvidia showcased European financial services building proprietary intelligence on open models at GTC Berlin Oct 22","place":{"country":"Germany","lat":52.52,"lon":13.405,"name":"Berlin"},"significance":"Moves open-weights validation from developer hosting into regulated finance at scale, supporting the sovereign/proprietary intelligence thesis.","sources":["https://blogs.nvidia.com/blog/european-financial-services-organizations-open-models-proprietary-intelligence/"],"statements":[],"verification":"researched","when":"2026-10-22","where":"Berlin, Germany"},{"actors":["Nvidia","European Commission","Poland eHealth Centre","UK Government","Germany","France","Greece"],"detail":"At GTC Berlin on Oct 22, Nvidia said European public-sector projects are building on open models: European Commission AI@EC via deepset Haystack, Poland eHealth Centre and Ministry of Labour agentic factory, UK Nemotron-Personas-UK, Germany Sinfonie and secunet SINA sovereign cloud, France CANUT Twake.ai, Greece KIEFER DGX SuperPOD.","headline":"Nvidia showcased European public-sector projects on open models at GTC Berlin Oct 22","place":{"country":"Germany","lat":52.52,"lon":13.405,"name":"Berlin"},"significance":"Extends open-weights adoption from enterprise to sovereign government stacks, reinforcing Europe as testbed for open-model deployment.","sources":["https://blogs.nvidia.com/blog/european-public-sector-open-models/"],"statements":[],"verification":"researched","when":"2026-10-22","where":"Berlin, Germany"},{"actors":["Nvidia","Jensen Huang"],"detail":"CEO Jensen Huang keynoted GTC Berlin Oct 21 framing open models as sovereign intelligence and announcing DSX POD modular AI factories (deployment 6 months to 14 days), OpenShell Reference Architecture, and Agent Knowledge Foundation with Kumo models; portfolio expanded Oct 21 to include Nemotron Retriever, Kumo Structured/Engine, Cosmos 3.5 world models, Alpamayo 2 Edge, BioNeMo RFD4-Proteina and Ising, all with open weights/datasets.","headline":"Nvidia framed open models as sovereign intelligence at GTC Berlin keynote Oct 21 and expanded open portfolio","place":{"country":"Germany","lat":52.52,"lon":13.405,"name":"Berlin"},"significance":"Provides infrastructure and model breadth to lower friction for deploying open weights from data center to edge, enabling the finance and public-sector scale-out cited Oct 22.","sources":["https://blogs.nvidia.com/blog/gtc-berlin-2026-keynote/","https://blogs.nvidia.com/blog/open-models-europe-industry/"],"statements":[],"verification":"researched","when":"2026-10-21","where":"Berlin, Germany"}],"edition":1,"escalation":{"direction":"steady","pace":"gradual"},"headline":"Nvidia showcases European finance and government adoption of open models at GTC Berlin","key_figures":[{"as_of":"2026-10-17","baseline":74.2,"baseline_label":"predecessor on DeepSWE v1.1","label":"DeepSeek-V4.1-Flash DeepSWE v1.1 score","source":"https://the-decoder.com/deepseek-v4-1-flash-1017-beats-larger-rivals-in-agentic-tasks-while-once-again-massively-cutting-per-task-costs/","unit":"%","value":77},{"as_of":"2026-10-19","baseline":null,"baseline_label":"","label":"Tenstorrent Series E post-money valuation","source":"https://techcrunch.com/2026/10/19/tenstorrent-hits-6-2b-valuation-to-scale-open-weight-ai-chips/","unit":"$B","value":6.2},{"as_of":"2026-10-15","baseline":null,"baseline_label":"","label":"Muse Spark Open total parameters","source":"https://research.meta.ai/blog/muse-spark-open","unit":"B","value":816},{"as_of":"2026-10-16","baseline":null,"baseline_label":"","label":"Beam total parameters","source":"https://reflection.ai/blog/introducing-beam","unit":"B","value":501}],"map":{"annotations":[],"bbox":[2.449,46.52,24.361,58.52],"cities":[{"capital":true,"name":"Berlin","x":499.8,"y":449.7},{"capital":true,"name":"Vienna","x":635.1,"y":773.9},{"capital":true,"name":"Brussels","x":85.9,"y":576.4},{"capital":true,"name":"Warsaw","x":846.9,"y":471.7},{"capital":true,"name":"Budapest","x":759,"y":826.4},{"capital":true,"name":"Prague","x":546.5,"y":632.5},{"capital":true,"name":"København","x":461.5,"y":213},{"capital":true,"name":"Amsterdam","x":112.5,"y":462.6},{"capital":true,"name":"Riga","x":988.1,"y":117.7},{"capital":true,"name":"Bratislava","x":669.4,"y":777.7},{"capital":true,"name":"Bern","x":229,"y":870.2},{"capital":true,"name":"Luxembourg","x":168,"y":668.1},{"capital":true,"name":"Vaduz","x":322.6,"y":854},{"capital":false,"name":"Stuttgart","x":308.1,"y":730.5},{"capital":false,"name":"Frankfurt","x":284.1,"y":631.5},{"capital":false,"name":"Katowice","x":756.2,"y":619.5},{"capital":false,"name":"Hamburg","x":344.5,"y":372.6},{"capital":false,"name":"Essen","x":208.5,"y":530.3},{"capital":false,"name":"Munich","x":416.4,"y":779.1},{"capital":false,"name":"Lille","x":28.7,"y":590.1},{"capital":false,"name":"Lviv","x":984.9,"y":651.4},{"capital":false,"name":"Łódź","x":776.2,"y":506.4},{"capital":false,"name":"Liège","x":142.9,"y":591.8},{"capital":false,"name":"Gdańsk","x":738.9,"y":312},{"capital":false,"name":"Nürnberg","x":393.9,"y":680.3},{"capital":false,"name":"Bremen","x":289.8,"y":408},{"capital":false,"name":"Hanover","x":331.7,"y":461.5},{"capital":false,"name":"Wrocław","x":665.4,"y":555.7},{"capital":false,"name":"Poznań","x":659.5,"y":458.6},{"capital":false,"name":"Dresden","x":515.7,"y":560.3},{"capital":false,"name":"Leipzig","x":454.6,"y":538.8},{"capital":false,"name":"Göteborg","x":434.9,"y":60.8},{"capital":false,"name":"Strasbourg","x":241.9,"y":745.5},{"capital":false,"name":"Kaliningrad","x":823.7,"y":286.5},{"capital":false,"name":"Szczecin","x":551.3,"y":382.5}],"countries":[{"d":"M1000 794L991.6 796L986.2 793.1L983.6 793.8L968.4 789.6L956.5 789.8L947.1 782.7L944.2 782.4L940.4 788.5L932.3 793L930.9 789.2L931.4 786.8L927.3 780.8L923.1 781.2L918.8 778.9L916 773.6L908.2 769.8L903.8 758.4L898.3 758.6L898.8 746.4L905.7 737.6L910 723.5L916.8 708.5L918.7 708.2L929.2 712.4L931.1 709.3L924.4 701.2L925.7 691.9L921.9 673.6L924.5 668.5L939.5 646.6L970.4 610.7L982.3 608.2L987.6 599.2L987.8 592.7L985.6 584.8L982.5 580.1L983.4 578.3L988.3 575.6L987.9 573.5L982.9 568.5L977.3 554.5L968.2 540.7L968.9 534.4L965.5 525.2L965.7 518.2L970.1 515.9L974 516.2L981.3 520.1L982.5 519.7L989.3 514.2L996.3 505.9L1000 499Z","name":"Ukraine"},{"d":"M322.9 824.7L327.5 829L326.8 834.6L321.1 851.1L321.2 859.3L327.3 859.7L337.5 863.4L339 868.7L350.7 875.1L352.8 874.3L360.6 865.1L363.5 866.7L365.4 871.5L362.8 889.1L364.6 892.6L364.3 897.7L357 896.6L353.5 892.4L348.6 894L347 900L167 900L169.4 893.2L180.8 882.3L182.9 867.9L192.5 862L205.5 844L207.7 838.5L204.1 836.9L203.2 834.4L206.3 830L210.1 827.3L213.9 827.3L217 831.5L219.8 832.1L226.9 829.9L230.3 822.9L235.8 819.5L239.6 821.3L250 821.7L257.6 820.8L262.4 818.5L274.1 819.3L278.9 817.2L279.2 815.1L274 815.1L272.2 814.3L271.7 812.4L273.2 809.1L279.5 805.8L286.6 811.5L289.5 810.3L291.3 811.2L293.5 814.8L307.3 813.7Z","name":"Switzerland"},{"d":"M758.8 51.3L755.1 53.1L752.8 58.4L746.8 61L745.8 77.8L751.1 84.1L745.5 86.9L741.6 95.8L731.5 101.8L727.4 107.4L725.2 115.6L721.1 119.1L716.4 120L722.7 107.8L719.3 104L714.5 93.6L716.6 88.6L715.9 72.3L728.2 57.2L734.2 51.7L742.6 49.2L746.4 51.5L748.1 46.5L750.8 45.3ZM642.5 167.2L640.2 171L638.1 170.7L636.7 165.7L637.2 146.3L647.2 123.2L651.6 121.3L665.2 88.1L669.4 90L666.4 93L666.5 98.4L658.8 115.1L656.7 126L653.9 128.6ZM658.8 0L660.6 2.1L656 4.5L648.2 6.4L653.6 22.9L650.4 26.9L650.1 45.2L645.7 45.5L643.8 53.1L645.2 56.9L646 71.4L648.2 76.4L647.2 81.7L640.1 94.1L642.5 108.9L634.3 135.8L625.3 151.4L618.3 172.3L610.5 179.6L601.4 175.1L587.7 177.7L575.1 176.1L562.8 176.9L559.7 178.9L561.6 186.5L557.1 187.5L552.6 185.4L545.5 190.7L539.1 197.4L537 201.6L536.4 209.3L542.7 224.4L535.1 234.3L530.8 234.6L518.3 231.9L496.2 238L476.3 233.1L478.8 227.9L480.3 207.9L478.9 203.5L474 197.9L457.4 167.2L468.1 171.4L472.5 169.2L465.8 156L475 155.1L477.8 150.3L476.2 142.7L468.6 139.3L462 127.3L455.1 121L442.8 97L438.3 80.5L434.1 82L430.3 63L423.8 60.2L422.3 41L415.3 38.9L410.7 30.1L409.9 13.5L405.3 10.5L401.6 11.3L402.2 0ZM762.5 44.8L761.7 49.5L759.3 49.1L757.1 45.7L761.5 40.4L770.5 41.8Z","name":"Sweden"},{"d":"M916.8 708.5L910 723.5L905.7 737.6L898.8 746.4L898.3 758.6L897.3 759.5L881.6 763.6L879.5 763L872.3 751.8L867.2 747.6L849.7 751.1L840.5 748.1L830.3 747.8L823.3 749.5L816.2 766.8L798.7 778L796.3 779.1L783.9 772.3L781.1 773L776.6 780.7L767.4 783.5L751.4 785.2L745.8 789L743.9 793.5L745.2 800L742.7 805L716.3 806.7L698.8 806.2L693.1 803.3L678.5 789.7L670.8 788.6L668 786L657.9 760L657.8 755.9L661.5 747.7L663.4 738.2L670.3 725.9L672.7 724.4L686.1 726.9L692.6 725.9L698.7 722.4L705.7 714.1L712 711.3L713.6 709.1L714.7 700.5L717 694.7L726.3 688.8L728.7 684.7L736.9 677.1L747.7 675.7L752.5 676.6L753.9 684.3L762.2 684L766.8 675.6L775.5 669.2L784.1 683.5L790.7 686.1L791.3 693.8L789.9 698.7L791.9 699.6L797.1 697.4L803.6 700.4L805.9 693.7L808.4 690.3L817.5 685.1L829.1 684.6L834.2 686.3L837.5 689.4L844.2 690.2L846.7 688.5L850.2 682.6L862.6 681.8L875.8 683.1L887.2 688.2L890.8 691.6L893.2 698.3Z","name":"Slovakia"},{"d":"M638.7 900L633.1 898.9L632 900L513.5 900L562.8 900L565.5 895.5L572.8 892.1L582.7 890.8L592.8 891.8L597.7 889.9L601.7 886.6L607.8 885.7L616.5 888.2L617.5 886.1L617.4 878.9L622.7 874.3L631.4 874.7L633.7 884.9L636 887.9L635.8 891.1L641.5 900Z","name":"Slovenia"},{"d":"M844.7 243.1L828.1 265.3L841.5 270.8L846.4 271.3L855.2 268.9L857.4 244.2L864.4 243.3L871.9 249.4L886.5 256.4L895.5 259.2L918.1 259.6L920.9 266.2L929.9 273.7L930.2 276.1L923.5 296.8L923.3 302L927.2 312.2L899.9 312L810.5 307.4L782.9 304.6L790 298.1L794.5 291.5L798.4 282.8L799.8 269.9L805.9 267.3L819.1 267.7L824.7 264.4L842 242.5Z","name":"Russia"},{"d":"M1000 900L858.9 900L861.2 893.4L869.3 886.2L868.4 882.5L869.2 879.8L876.4 866.7L876.8 860.7L882.5 853.6L886.3 841.2L892 834.3L892.2 826.1L897.4 821.1L905.5 809.4L914.7 806.1L920 806.5L932.3 793L940.4 788.5L944.2 782.4L947.1 782.7L956.5 789.8L968.4 789.6L983.6 793.8L986.2 793.1L991.6 796L1000 794Z","name":"Romania"},{"d":"M965.5 525.2L968.9 534.4L968.2 540.7L977.3 554.5L982.9 568.5L987.9 573.5L988.3 575.6L983.4 578.3L982.5 580.1L985.6 584.8L987.8 592.7L987.6 599.2L982.3 608.2L970.4 610.7L939.5 646.6L924.5 668.5L921.9 673.6L925.7 691.9L924.4 701.2L930.9 707.9L929.2 712.4L918.7 708.2L913.8 707.9L893.2 698.3L890.8 691.6L887.2 688.2L875.8 683.1L862.6 681.8L850.2 682.6L846.7 688.5L844.2 690.2L840.6 690.4L837.5 689.4L834.2 686.3L829.1 684.6L817.5 685.1L808.4 690.3L805.9 693.7L803.6 700.4L797.1 697.4L791.9 699.6L789.9 698.7L791.3 693.8L790.7 686.1L784.1 683.5L775.5 669.2L766.8 675.6L762.2 684L753.9 684.3L752.5 676.6L747.7 675.7L746.5 668L736.8 657.2L735.4 648L733.3 646.3L725.6 644.3L723.6 645.4L711 636.4L709 639.1L704 641.1L702 640.3L695.1 631.4L692.7 630.3L691 627.2L696.4 624.5L697.6 621.7L696.1 616L689.4 619.2L683 619.9L671 610.6L658.6 607L663.6 621.2L656.8 625L649.4 631.7L647.6 631.3L633.7 611.5L629 609.4L628 607.2L631.3 602.8L634.7 601.5L637.6 596L631.3 589.8L618.8 593.1L616.1 588.7L606.1 583.5L589 578.1L585.4 572.8L584.6 567.1L572.5 562.9L572 572.5L568 574.4L564.1 574.6L571.1 556.9L573.5 545L568.5 529.3L560.2 524.7L560.2 514.4L555.6 506.2L554.6 501.6L558 496.1L561.5 482.9L559.3 480.7L559.3 473.4L558.2 470.3L555.2 468.2L552.5 462L555.4 449.4L550.6 440.6L538.7 430.3L533 423.1L533.5 419L536 415.3L540.5 412L544 406.1L545.9 399.1L546.1 392.7L540.8 372.3L539 359.3L553.8 366L552.4 361L552.6 352.3L536.9 348.7L536.8 342.7L538.5 344.1L544.7 344.6L559.8 337.6L586 328.5L613.9 320L626.9 317.2L644 297.5L658.8 294.3L676 284.3L702.5 277.7L713.6 276.3L724.5 276.1L744.3 287.7L746.2 291.5L732.6 283.4L729.6 283.1L736.5 300.5L740.3 306.7L747.9 311.3L754.3 312.8L773.9 310L782.9 304.6L810.5 307.4L899.9 312L925.6 312.7L929.8 309.3L933 309.7L938.6 312.9L939.8 316.2L950.8 321L958.6 328.2L959.8 333.1L959.7 342.1L965.2 369.1L973.9 393.7L978.4 411.9L979.7 427.6L979 436.2L976.4 439.2L956.6 450.3L947.2 463.7L945.9 467.5L946.9 469.7L958.8 476.3L965.2 481.3L967.7 486L965.6 498L966.4 503.3L962.7 510.7L962.5 517.6Z","name":"Poland"},{"d":"M292.3 0L277.1 16.5L267.6 22.2L260.9 28.1L255 28L247.7 33L229 37.4L216.6 35.4L207.9 37.2L203.3 33.7L203.7 28.3L202.1 27.7L198.7 27.4L197.3 29.1L197.1 32.9L195.4 33.9L189 31.7L187.4 29.7L193.7 22.2L192.2 19.3L179.8 18.9L164.6 10.9L161 6.6L149.2 0Z","name":"Norway"},{"d":"M161.8 582.7L150.5 582L148.1 580.9L145.6 575.7L150.7 567.7L150.6 564.8L153.8 557.5L154.2 554.6L152.8 552.5L144.2 549.1L138.2 542.6L130.6 544.5L126.2 543.1L121 538L119.1 530L117.8 528.8L113.9 533.4L109.5 533.8L105.3 527.2L99.7 532.4L97.7 532.4L93.8 528.4L88.3 531.9L89.2 536.5L87.8 537.3L71.1 530.8L62.7 533.3L56.8 530.3L51.9 530L45.6 523.4L50.2 519.8L59.1 519.3L65.6 520.9L77.2 529.8L83.3 528.6L81.7 526.2L74.5 522.7L71 519.3L79.1 518.2L76.9 513.5L68.4 503.2L74.7 489.4L80.3 484.6L92.8 465.8L96.4 455.8L101.7 428.3L105.9 418.4L111.3 420.9L119.2 417L132.8 406.8L136.8 397.9L140.7 393.8L156.3 385.9L164.9 383.5L199.3 380.9L206.2 389.5L216.7 392.8L216.4 414L210 433.1L209.2 440.1L208.3 441.5L196.2 441.4L194.5 442.7L193.6 449.2L196.2 454.2L200.1 455.8L206.2 455.7L207.8 457.6L209.3 460.5L208.6 469L206.7 473.6L195.1 483L194.7 486.3L198.7 490.5L195.9 495.7L185.7 500L181.5 499.6L178.3 502.2L169.7 497.9L159.7 503.8L159.7 506.8L166.1 516.2L166.2 519.1L170.9 527.3L171.1 530.2L169.6 537.4L165.5 547.2L165.8 550.5L168.3 551.6L168 552.9L159.3 560.9L156.1 560.6L155.6 561.7L157.3 565.2L162.4 567.8L164.3 571.1ZM81.1 535L78.7 541L66.3 548.4L63.1 548.1L56.3 543.3L51.6 542.5L46.7 545.8L44.9 545.6L42.5 542.2L41.1 535.7L52.1 534L65.5 537.4L71.3 534.3L75.9 537ZM177.3 375.7L170.9 378.2L169.3 377.7ZM158.8 379.6L149.8 380.8L146.3 379L156.4 378.4ZM121.4 390.9L112.9 396.4L112.2 395.5L117.7 390.7ZM131.3 385.1L127 385.7L125.1 384.6L135.4 381.6L143 381.1ZM111.2 408.7L106.7 414L103.2 411.3L104.6 407.2L111.2 400.3ZM68.5 508.5L74.2 515.3L68.6 517L62.5 512L58.6 513.1L57.1 510.8L57 509.3L61.2 508ZM195.6 370.3L191.4 370.6L192.6 368.6L198.6 367.1Z","name":"Netherlands"},{"d":"M167.4 629.9L167.1 636.4L171.4 645.4L176.9 651.2L184.3 654.1L184.2 660.9L179.3 669L177.8 680L173.1 676.9L170.3 676.6L162.6 680.6L154 676.1L152.5 673.6L156.6 665.6L149.5 653.4L150.4 645L156 632.8L161 626.5L166.1 627.4Z","name":"Luxembourg"},{"d":"M844.7 243.1L842 242.5L847.2 233.9L851.8 217.8L851.3 227.4L848.1 237.7ZM927.2 312.2L923.3 302L923.5 296.8L930.2 276.1L929.9 273.7L920.9 266.2L918.1 259.6L895.5 259.2L886.5 256.4L871.9 249.4L864.4 243.3L857.4 244.2L855.8 238.2L857.5 229.9L849.4 203L848.7 183.7L876.4 165.4L896.1 158.5L919 160.9L927.5 160.7L932.2 159.3L936.4 160.5L939.8 164.7L943.3 164.2L946.8 161.5L975 164.3L989 169.2L1000 167.8L1000 346.2L998 347L992.2 342.7L977.7 343.8L971.4 345.6L963.4 345L960 343.5L959.8 333.1L958.6 328.2L954.8 324L945.7 317.9L939.8 316.2L938.6 312.9L933 309.7L929.8 309.3Z","name":"Lithuania"},{"d":"M325.5 859.7L321.2 859.3L321.1 851.1L323 843.7L326.8 856Z","name":"Liechtenstein"},{"d":"M1000 167.8L989 169.2L975 164.3L946.8 161.5L943.3 164.2L939.8 164.7L936.4 160.5L932.2 159.3L927.5 160.7L919 160.9L896.1 158.5L876.4 165.4L848.7 183.7L847.3 169.6L848 141.3L849.9 127.2L858.4 119L862.6 112.7L867.6 89.8L879.9 71.2L889.6 69.2L917.6 59.7L921.8 69.3L944.1 89.7L951 107.3L967.4 116.2L980.4 113.4L996.4 101.1L1000 96.5L1000 65.3L997.3 55.2L998.2 48.7L1000 49Z","name":"Latvia"},{"d":"M347 900L348.6 894L353.5 892.4L357 896.6L364.3 897.7L364.6 892.6L362.8 889.1L365.3 874.1L376.1 875.5L379.3 879.5L382.4 880.9L389.9 880.7L396.4 868.8L401.4 865.8L414.3 864.2L425.6 865L443.6 857.8L445.1 859.4L441.8 865.1L442.9 868.9L453.6 886.3L457.7 888.6L489.2 896.1L503.9 897.3L513.5 900Z","name":"Italy"},{"d":"M898.3 758.6L903.8 758.4L908.2 769.8L916 773.6L918.8 778.9L923.1 781.2L927.3 780.8L931.4 786.8L930.9 789.2L932.3 793L920 806.5L914.7 806.1L905.5 809.4L897.4 821.1L892.2 826.1L892 834.3L886.3 841.2L882.5 853.6L876.8 860.7L876.4 866.7L869.2 879.8L868.4 882.5L869.3 886.2L861.2 893.4L858.9 900L641.5 900L635.8 891.1L636 887.9L633.7 884.9L631.4 874.7L622.7 874.3L630 866.1L633.6 863.8L639.1 863.5L640.9 854.8L640.5 853.5L638.4 853.1L637.5 847.2L639.5 843.5L638.6 834L641.9 833.7L646.9 830.4L649.3 823.8L647.6 818.3L638.1 814.8L637.7 813.4L643.6 807.9L645.4 807.7L654.3 813.1L656 812L667.1 810.9L665.4 801.2L668.1 791.7L670.8 788.6L678.5 789.7L693.1 803.3L698.8 806.2L716.3 806.7L742.7 805L745.2 800L743.9 793.5L745.8 789L751.4 785.2L767.4 783.5L776.6 780.7L781.1 773L783.9 772.3L796.3 779.1L798.7 778L816.2 766.8L823.3 749.5L830.3 747.8L840.5 748.1L849.7 751.1L867.2 747.6L872.3 751.8L879.5 763L881.6 763.6Z","name":"Hungary"},{"d":"M322.9 824.7L307.3 813.7L293.5 814.8L291.3 811.2L289.5 810.3L286.6 811.5L279.5 805.8L273.2 809.1L271.7 812.4L272.2 814.3L278.5 814.6L279.4 816.2L273 819.6L262.4 818.5L257.6 820.8L250 821.7L239.6 821.3L233.5 818.5L231.9 813.5L232.3 806L234.8 796.1L235.5 788.8L234.4 784.2L235.8 777.2L239.9 768L245.9 741.3L259.7 722.5L259.5 716L253.4 713.2L235.6 709.4L231.7 707.5L228.3 702.6L216.8 705.5L213.1 704.4L209.4 705.5L207.8 700.5L202.7 698.4L200.8 698.9L197.5 702.4L195.6 702L188.3 690L186.4 684.4L183 680.8L177.8 680L179.3 669L184.2 660.9L184.3 654.1L176.9 651.2L173.7 648.6L168.4 640.9L167 631.9L170.1 621.6L178.7 615.3L177.6 605.1L175.5 602.6L171.3 601.6L170.2 599.8L169.8 598.1L172.8 594.2L161.8 582.7L164.3 571.1L162.4 567.8L157.3 565.2L155.6 561.7L156.1 560.6L159.3 560.9L168 552.9L168.3 551.6L165.8 550.5L165.5 547.2L169.6 537.4L171.1 530.2L170.9 527.3L166.2 519.1L166.1 516.2L159.7 506.8L159.7 503.8L169.7 497.9L178.3 502.2L181.5 499.6L185.7 500L195.9 495.7L198.7 490.5L194.7 486.3L195.1 483L206.7 473.6L208.6 469L209.3 460.5L207.8 457.6L206.2 455.7L200.1 455.8L196.2 454.2L193.6 449.2L194.5 442.7L196.2 441.4L208.3 441.5L213 422.5L215.9 416.5L216.7 392.8L210.1 385.8L212.6 372.2L217.1 364.9L220.7 362.9L236.4 361.7L253.8 362.2L261 373.2L258.3 378.9L262.5 381.6L264.5 380.6L267.1 370.2L268.6 368.5L275.8 375.4L275.9 384.4L277.9 372.2L276.4 363.7L277.5 355.4L281.6 348.4L294.3 351.3L308.4 349.8L313.7 353L325.7 369L329.7 371.6L334.8 372.4L327.8 369L313.2 349.6L308.8 347.2L302.1 346.4L298 344.5L294.6 339L294.7 319.4L292.2 316.5L288.9 315.5L286.9 316.9L282.8 316.9L281.9 312.5L282.9 309.2L291.3 306.9L296.8 303.9L297 298.6L284.5 279.6L283.9 271.2L294.5 271.7L307.5 275.6L310.6 278.4L314.6 278.5L327.1 274.8L332.7 277.1L333 278.5L339.7 280.5L345.6 288.5L345.9 295.4L338.6 303.6L351.2 302.4L354.3 308.3L361.1 306.1L378 315.3L390.9 310.6L393.2 318L390.6 325.4L381.6 333.4L383.6 338.3L386.5 339.4L395 338.3L408.5 343.2L422.2 330.5L426.6 328.1L441 326.4L443.6 322.1L449.4 317.7L462.1 303.9L482.8 308.2L488.2 317.8L502 328.4L514.6 327.5L519 337.6L521 350L528.3 356.4L539 359.3L540.8 372.3L546.1 392.7L545.9 399.1L544 406.1L540.5 412L536 415.3L533.5 419L533 423.1L538.7 430.3L550.6 440.6L555.4 449.4L552.5 462L555.2 468.2L558.2 470.3L559.3 473.4L559.3 480.7L561.5 482.9L558 496.1L554.6 501.6L555.6 506.2L560.2 514.4L560.2 524.7L568.5 529.3L573.5 545L569 563.3L562.1 577.6L560.2 577.9L555.2 574.8L555.6 570.4L554.3 570.1L552.1 564.5L541.7 561.2L538.8 563.9L540.8 567.6L544.4 570.4L544 571.6L522.5 581.9L513.5 585.3L506.9 586.2L501.4 593.9L498.6 592.4L495.5 595L492.4 595.7L489.8 600.7L482.3 602.2L478.9 608.5L470.8 606.7L468.1 608.3L460.9 609.5L456.5 612.8L448.5 625.4L443.9 617.4L442 615.7L440 616.4L440 618.9L443.9 625.8L445.4 631.7L448.5 635.8L456.8 642.3L459.2 646.8L453.7 658.5L458.7 666L467 682.9L473 689.3L477.7 689.2L487.9 702.1L494.7 706.7L499.8 715.7L501.6 717.3L506.5 717L518.7 731.5L517.4 744.9L514.6 748.3L512.3 749.8L503.7 745.4L498.6 761.9L496.3 764.2L485.3 768.4L476.8 773.7L470.6 781L470.6 783.3L479.4 797.2L479.4 803.4L476.8 809.9L483.1 811.6L484 814.9L482.2 828.1L480.1 828.3L472.8 823.3L471.1 816L467.2 813.8L457.9 816.2L452.5 812.4L445.4 810.1L444.4 817.5L423 820.2L408.2 827.5L403.8 832.1L399.9 833L399 832.1L392.2 834.5L389.4 834.1L385.4 828.7L384.5 825L378.5 824.7L374.7 823L364.7 822.6L361.5 836.5L358.9 840.5L353 843.1L353.7 836.7L347.6 834.5L347.3 830.3L343.3 826.1L333.2 820.8L328.7 824.6ZM513.9 310.3L515 315.3L513.8 317.9L508.7 313.6L503.5 313.7L500.4 320.3L498.1 320.6L490.2 314.6L488.7 309.2L489.6 298.2L492.1 295.3L492.5 291.1L496.9 286.7L500.8 286.6L503.9 292.8L511.5 297L512.1 298.8L508 304.2L509 307.1ZM536.8 342.7L536.9 348.7L529.4 349.3L523.8 348.1L522.7 343.6L523.6 339.3L519.3 334.5L519.3 329.5ZM403.2 307.7L396.1 307.8L393.5 304.8L390.8 304L392.2 300.3L394.1 299L400.9 301.4ZM267.4 280L266.3 281.5L266.8 270.9L271.8 259.6L273.9 259.8L271.2 265L270.7 271.5L282.1 272.1L280.7 274.1L269.2 275.4ZM280.2 285.5L278.4 287.4L274 287.2L271.6 285.4L272.4 283.6L276.6 282L279.5 282.8Z","name":"Germany"},{"d":"M235.8 819.5L230.3 822.9L226.9 829.9L223.4 831.5L217 831.5L213.9 827.3L210.1 827.3L206.3 830L203.2 834.4L204.1 836.9L207.7 838.5L205.5 844L192.5 862L182.9 867.9L180.8 882.3L169.4 893.2L167 900L0 900L0 558.9L3.5 556.7L7 567.4L6 570.6L6.8 573.3L14.2 582.7L17.8 585.6L30 580.5L33.5 584.1L35.9 589.3L37.6 599.1L39.6 600.9L52.3 603.2L53.8 604.7L56.6 616L59.3 613.2L68.5 613.8L72.8 614.9L78.8 620.5L77 628.2L79.6 631.9L77 639L78.8 642L87.6 643.1L95.7 642L100.7 638.8L103 631.7L108.2 627.5L110.1 628.8L106.8 642L109.2 645.4L110.4 654.9L116.7 655.6L122.1 659.9L129.2 663.2L139.6 675.7L152.5 673.6L154 676.1L162.6 680.6L170.3 676.6L173.1 676.9L177.8 680L183 680.8L186.4 684.4L188.3 690L195.6 702L197.5 702.4L200.8 698.9L202.7 698.4L207.8 700.5L209.4 705.5L213.1 704.4L216.8 705.5L228.3 702.6L231.7 707.5L235.6 709.4L253.4 713.2L259.5 716L259.7 722.5L245.9 741.3L239.9 768L235.8 777.2L234.4 784.2L235.5 788.8L234.8 796.1L232.3 806L231.9 813.5L233.5 818.5Z","name":"France"},{"d":"M1000 0L1000 49L998.2 48.7L1000 42.5L1000 10.2L994.3 17.3L988.8 19L984 16L972.9 11.9L968.2 0ZM946.8 0L951.2 2.7L952.6 5.2L943.7 6.3L939.5 11.1L937 11.7L926.8 19.4L925.6 21.7L915 21.3L909.2 22.7L904.5 26.9L902.6 35.1L899.2 41.5L895.7 43.8L892.1 44.1L891.6 39.4L900.8 27.4L886.9 19.3L885.6 16.4L888.8 15.3L891.5 10L886 1.7L888.8 0.4L892.3 0.7L896 3.1L901.2 0L904.4 0.9L904.9 0Z","name":"Estonia"},{"d":"M461.8 205.1L461.9 212.6L460.8 214.8L450.5 219.9L447 223.7L445.7 229L448.4 232.9L453.5 235.1L454.7 242.5L450.6 246.2L440 249.9L438.2 277.9L429.6 281.1L424.1 270.4L420.1 250L412 248.1L403.3 248.7L398 239.4L398.9 229.1L396.1 223.9L395.8 218.9L390.6 215.7L389.3 209.9L392.5 208.5L400.5 209.2L405 207.6L411.4 198.1L411.9 193.2L418.9 192.2L422 195.9L421.8 209.3L427.7 211.7L430.6 203.4L432.3 201.9L432.9 196.8L429.8 191.4L445.9 180.1L450.6 179.8L462.3 184.2L463.6 186.5L459.8 195.1ZM332.7 277.1L327.1 274.8L314.6 278.5L310.6 278.4L307.5 275.6L294.5 271.7L283.9 271.2L282.5 260.6L279.5 253.9L283.9 252.3L281.4 232.6L259.4 219L262.6 190.3L258.9 178.5L260.8 143.5L266.2 142.7L274.9 146.6L278.6 147L281.1 150.4L284 151.8L286.1 148.2L286.9 141.9L293.9 133.9L302 129.5L307.9 136.4L310.6 113.1L304 110.7L298.6 112.8L288.6 134.6L280.9 135.7L274.7 139.2L265.6 132.4L266.3 125.1L272.8 115.2L281.6 105.7L290.4 105.7L296.8 102.7L300.6 102.3L312.6 103L318.8 100.9L324.3 96.6L336.2 78.1L342.9 70.4L356.4 67.7L368.9 58.8L372.4 58.7L366.6 65.3L364.9 71.8L369.1 80.4L368.5 95.8L364.5 101.1L360.1 112.4L358.1 114.1L357.5 142.5L362.1 147.4L367 150L383.2 149.9L386.9 155.8L383.7 166.8L379 170.9L373 173.8L369.2 174L364.1 168.3L359.2 173L353 199.1L351.9 200L349.5 198.4L345.4 198.3L340.2 200.8L345.7 206.9L344.6 208.8L340 210.9L325.9 227L329.6 244L328.3 248.6L322 255.3L319.7 261L325.1 261L328.4 262.3L332.4 266.4L331.2 269.4ZM374 218.3L382 239.9L380.4 243.8L381.5 248.8L380.4 254L373.1 260.1L364.8 260.3L344.1 251.8L338.2 237.2L338.2 225.3L357.7 218.2L360.7 219.1L364 222L367.7 222.1ZM406.7 272.1L414.8 276.8L420.3 276.5L424 278.4L425.2 288L421.3 290L417 289.3L411.1 291.8L391.9 281L392.9 268.5L402 267.6ZM378.1 282.7L376.1 283.1L373 275.1L383.7 260.1L386.8 252.2L388 252.3L386.6 259.3ZM460.9 266.6L459.2 267.7L452.2 266.9L444.3 272.1L441.3 270.4L443.3 265.9L447.7 262.4L448.4 259.2L450 260.9L457.3 262.7ZM466.3 219.3L461 222.3L459.6 217.9L463.2 213L465.5 215.5ZM366.7 275.4L363.7 276.2L360.1 274.6L353.7 266.8L367.6 274.5ZM347.4 272.5L342.7 273.6L340.2 271.8L335.8 271L334.6 258.8L344.6 265ZM372.3 205.3L371.5 206.6L368.7 205.2L369.4 196L368.2 192.1L369.6 189.6L374.8 198.2ZM392.6 95.1L390.8 96.8L384.5 94.3L387.3 90.9L394.2 89.3L398.2 89.8ZM576.8 262.4L575.1 263.6L567.6 261.5L558.4 256.3L559.7 246.1L562.1 241.7L578.8 253.2L579 257.5Z","name":"Denmark"},{"d":"M747.7 675.7L736.9 677.1L728.7 684.7L726.3 688.8L717 694.7L714.7 700.5L713.6 709.1L712 711.3L705.7 714.1L698.7 722.4L692.6 725.9L686.1 726.9L672.7 724.4L670.3 725.9L667 730.4L661.9 744.1L658.8 736.2L651 733.9L643.2 729.3L640.2 729L635.2 733.6L621 732.4L610.4 724.2L604.8 724.5L587 715.9L580.2 718L575.8 714.2L572.5 713.9L569.3 731.1L564.7 730.9L563 732.9L559.4 738.6L558.7 744.1L549.5 742.1L546.8 742.8L543.9 745.8L535.8 745.6L529.4 743.8L526.6 737.1L518.7 731.5L506.5 717L501.6 717.3L494.7 706.7L487.9 702.1L477.7 689.2L473 689.3L467 682.9L458.7 666L453.7 658.5L459.2 646.8L456.8 642.3L448.5 635.8L445.4 631.7L443.9 625.8L440 618.9L440 616.4L442 615.7L443.9 617.4L448.5 625.4L456.5 612.8L460.9 609.5L468.1 608.3L470.8 606.7L478.9 608.5L482.3 602.2L489.8 600.7L492.4 595.7L495.5 595L498.6 592.4L501.4 593.9L506.9 586.2L513.5 585.3L522.5 581.9L544 571.6L544.4 570.4L540.8 567.6L538.8 563.9L540.1 561.8L541.7 561.2L552.1 564.5L554.3 570.1L555.6 570.4L555.2 574.8L560.2 577.9L562.1 577.6L564.1 574.6L568 574.4L572 572.5L572.5 562.9L584.6 567.1L585.4 572.8L589 578.1L606.1 583.5L616.1 588.7L618.8 593.1L631.3 589.8L634.9 592.4L637.6 596L635.7 600.2L631.3 602.8L628 607.2L629 609.4L633.7 611.5L647.6 631.3L649.4 631.7L656.8 625L663.6 621.2L658.6 607L671 610.6L683 619.9L689.4 619.2L696.1 616L697.6 621.7L696.4 624.5L691 627.2L692.7 630.3L695.1 631.4L702 640.3L704 641.1L709 639.1L711 636.4L723.6 645.4L725.6 644.3L733.3 646.3L735.4 648L736.8 657.2L746.5 668Z","name":"Czechia"},{"d":"M632 900L633.1 898.9L638.7 900Z","name":"Croatia"},{"d":"M81.1 535L87.8 537.3L89.2 536.5L88.3 531.9L93.8 528.4L97.7 532.4L99.7 532.4L105.3 527.2L109.5 533.8L113.9 533.4L117.8 528.8L119.1 530L121 538L126.2 543.1L130.6 544.5L138.2 542.6L144.2 549.1L150.8 551.3L154.2 554.6L150.7 567.7L145.6 575.7L148.1 580.9L150.5 582L161.8 582.7L172.8 594.2L169.8 598.1L170.2 599.8L171.3 601.6L175.5 602.6L177.6 605.1L178.7 615.3L170.1 621.6L167.4 629.9L166.1 627.4L161 626.5L156 632.8L150.4 645L149.5 653.4L156.6 665.6L152.5 673.6L139.6 675.7L129.2 663.2L122.1 659.9L116.7 655.6L110.4 654.9L109.2 645.4L106.8 642L110.1 628.8L108.2 627.5L103 631.7L100.7 638.8L95.7 642L87.6 643.1L78.8 642L77 639L79.6 631.9L77 628.2L78.8 620.5L72.8 614.9L68.5 613.8L59.3 613.2L56.6 616L53.8 604.7L52.3 603.2L39.6 600.9L37.6 599.1L35.9 589.3L33.5 584.1L30 580.5L17.8 585.6L6.8 573.3L6 570.6L7 567.4L3.5 556.7L35.4 537.6L41.1 535.7L42.5 542.2L44.9 545.6L46.7 545.8L51.6 542.5L56.3 543.3L63.1 548.1L66.3 548.4L78.7 541Z","name":"Belgium"},{"d":"M1000 499L996.3 505.9L989.3 514.2L982.5 519.7L981.3 520.1L977.3 517.2L970.1 515.9L965.7 518.2L965.5 525.2L962.5 517.6L962.7 510.7L966.4 503.3L965.6 498L967.7 486L965.2 481.3L958.8 476.3L946.9 469.7L945.9 467.5L947.2 463.7L956.6 450.3L976.4 439.2L979 436.2L979.7 431.2L977.1 405.6L965.2 369.1L960 343.5L963.4 345L971.4 345.6L977.7 343.8L992.2 342.7L998 347L1000 346.2Z","name":"Belarus"},{"d":"M323 843.7L326.8 834.6L327.5 829L322.9 824.7L328.7 824.6L333.2 820.8L343.3 826.1L347.3 830.3L347.6 834.5L353.7 836.7L353 843.1L358.9 840.5L361.5 836.5L364.7 822.6L374.7 823L378.5 824.7L384.5 825L385.4 828.7L389.4 834.1L392.2 834.5L399 832.1L399.9 833L403.8 832.1L408.2 827.5L423 820.2L444.4 817.5L445.4 810.1L452.5 812.4L457.9 816.2L467.2 813.8L471.1 816L472.8 823.3L480.1 828.3L482.2 828.1L484 814.9L483.1 811.6L476.8 809.9L479.4 803.4L479.4 797.2L470.6 783.3L470.6 781L473 776.9L485.3 768.4L496.3 764.2L498.6 761.9L503.7 745.4L512.3 749.8L514.6 748.3L517.4 744.9L518.7 731.5L526.6 737.1L529.4 743.8L535.8 745.6L543.9 745.8L546.8 742.8L549.5 742.1L558.7 744.1L559.4 738.6L563 732.9L564.7 730.9L569.3 731.1L572.5 713.9L575.8 714.2L580.2 718L587 715.9L604.8 724.5L610.4 724.2L621 732.4L635.2 733.6L640.2 729L643.2 729.3L651 733.9L658.8 736.2L661.9 744.1L657.8 755.9L657.9 760L668 786L670.8 788.6L668.1 791.7L665.4 801.2L667.1 810.9L656 812L654.3 813.1L645.4 807.7L643.6 807.9L637.7 813.4L638.1 814.8L647.6 818.3L649.3 823.8L646.9 830.4L641.9 833.7L638.6 834L639.5 843.5L637.5 847.2L638.4 853.1L640.5 853.5L640.9 854.8L639.5 862.3L637.8 864.2L633.6 863.8L630 866.1L620.1 875.6L617.4 878.9L617.5 886.1L616.5 888.2L607.8 885.7L601.7 886.6L597.7 889.9L592.8 891.8L582.7 890.8L572.8 892.1L565.5 895.5L562.8 900L513.6 900L503.9 897.3L489.2 896.1L457.7 888.6L453.6 886.3L442.9 868.9L441.8 865.1L445.1 859.4L443.6 857.8L425.6 865L414.3 864.2L401.4 865.8L396.4 868.8L389.9 880.7L382.4 880.9L379.3 879.5L376.1 875.5L365.3 874.1L363.5 866.7L360.6 865.1L352.8 874.3L350.7 875.1L344.5 872.6L339 868.7L337.5 863.4L325.5 859.7L326.8 856Z","name":"Austria"}],"credit":"Base map: Natural Earth (public domain). Locations: Ohmega, from today's developments; approximate.","disputed":[],"height":900,"labels":[{"key":false,"name":"Ukraine","r":36.3,"x":963.7,"y":689.9},{"key":false,"name":"Switzerland","r":40.4,"x":280.4,"y":859.6},{"key":false,"name":"Sweden","r":88.2,"x":549.6,"y":89.6},{"key":false,"name":"Slovakia","r":47.5,"x":754.9,"y":733.3},{"key":false,"name":"Slovenia","r":9.1,"x":625.5,"y":890.4},{"key":false,"name":"Russia","r":26.6,"x":880.2,"y":282.4},{"key":false,"name":"Romania","r":50.4,"x":949.6,"y":849.6},{"key":false,"name":"Poland","r":161.1,"x":785.1,"y":478},{"key":false,"name":"Norway","r":18.3,"x":228.4,"y":18.7},{"key":false,"name":"Netherlands","r":47.2,"x":147,"y":456.6},{"key":false,"name":"Luxembourg","r":12.6,"x":168.4,"y":661.3},{"key":false,"name":"Lithuania","r":51.4,"x":946,"y":215.7},{"key":false,"name":"Latvia","r":43.2,"x":907.3,"y":116.2},{"key":false,"name":"Italy","r":17.5,"x":430.2,"y":881.9},{"key":false,"name":"Hungary","r":60.9,"x":821.7,"y":834.7},{"key":true,"name":"Germany","r":138.4,"x":334.7,"y":526.5},{"key":false,"name":"France","r":105.6,"x":111.3,"y":777.4},{"key":false,"name":"Estonia","r":11.6,"x":903.6,"y":12.6},{"key":false,"name":"Denmark","r":38.5,"x":300.7,"y":196.1},{"key":false,"name":"Czechia","r":69.7,"x":549.9,"y":648},{"key":false,"name":"Belgium","r":44.4,"x":100.5,"y":580.2},{"key":false,"name":"Belarus","r":21.5,"x":977.4,"y":463.3},{"key":false,"name":"Austria","r":73.1,"x":559,"y":820.2}],"lakes":[{"d":"M492.8 0L476.3 0L462.3 11.1L461 10.6L461.9 6.6L459 9.2L451.2 11L450.2 9.4L450.9 6.5L458.5 0Z"},{"d":"M156 446.8L156.1 452.6L139 470.1L118.2 463.2L117.1 461.7L119.6 455.1L119.4 442.2L122.7 442L127.5 438.8L127.7 434.2L121.8 426.3L119.5 419.7L133.6 409.1L135.6 423.4L141.4 425.6L146.4 425.1L146.9 427.7L144.6 432.2L144.7 439.6L146.2 441.8L154.6 443.3ZM153 454.1L154.5 451.3L152.8 446.7L146.5 444.9L133.6 452.2L124.1 460.6L127.5 464L135.8 466.7L139.2 466.4Z"},{"d":"M790.2 306.5L788.1 302.8L795.4 294.8L800.4 285.8L804.8 288.5L819.4 287.9L797.7 300.2Z"},{"d":"M788.1 302.8L790.2 306.5L789 308.1L777.3 316.5L771.2 318.9L766.8 315.7L768.1 313.6L778.3 310.4Z"},{"d":"M570.6 0L558.5 9.4L549.9 32.6L538.3 53.3L534.4 54.3L532.7 44.7L536.9 27.7L548.9 0Z"},{"d":"M690.8 881.6L685.8 884.7L676.7 884.9L676.4 882L694.4 875.1L701.7 870.7L713.2 859.9L715.7 861.1L717.2 863.2L716.2 866.8Z"},{"d":"M332.3 824.5L330.3 826L319.6 825.5L310.4 819.2L304.1 806.1L305 805.3Z"},{"d":"M304.8 813.7L293.5 814.8L298.1 811.3L298.9 807.6L303.2 810.3Z"}],"locator":{"d":"M117 62L114 60L118 59ZM117 59L113 60L112 57L113 56L117 57L116 55L117 55L119 56ZM129 41L124 43L124 42L124 40L127 40ZM160 38L159 39L161 43L158 45L160 42L157 38ZM67 45L64 50L63 47L59 45L61 43ZM139 27L141 27L139 27L137 29L133 26L131 27L131 25L136 26L138 27ZM70 69L68 69L68 67ZM28 19L25 17L19 16L16 17L17 16L9 20L13 17L10 17L10 16L8 16L11 14L7 14L11 13L7 12L13 10L22 11L22 16ZM58 25L62 24L63 25L59 27L58 29L58 28L57 29L58 30L55 33L55 36L54 33L51 33L47 33L46 36L41 32L33 31L31 28L31 23L51 23L54 25L54 27ZM99 21L97 21L98 20L97 19L97 17L101 21ZM131 36L131 37L129 37ZM121 24L116 25L116 23L112 23L114 21L119 21L122 22ZM119 51L116 51L117 48L119 48ZM131 27L133 26L137 29L135 30L132 29L130 29L129 28L130 27L129 27ZM123 27L125 28L125 29L116 30L115 29L116 27ZM106 32L105 33L105 29L106 29ZM156 39L159 41L157 43L156 43L156 47L155 45L155 43L154 40ZM118 55L116 54L117 51L122 53L122 56L119 56ZM138 29L139 27L138 28L142 29ZM120 30L124 29L120 32ZM106 17L109 12L113 12L113 13L110 15L111 17L109 19L107 19ZM119 48L116 48L113 45L118 43ZM119 45L118 43L117 45L113 45L112 43L114 38L120 38L121 40ZM99 26L102 27L99 30L96 29L97 27L95 26ZM116 62L118 65L117 67L114 69L110 69L109 66L111 66L111 64L112 65ZM123 51L123 48L128 43ZM127 44L127 46L124 44ZM93 42L93 43L91 43L92 43L90 42L92 41ZM129 39L124 41L119 34L122 32L127 34L131 38ZM0 12L6 13L0 14ZM173 26L175 23L173 23L169 20L165 22L155 21L154 22L149 23L144 22L143 20L138 19L134 20L134 22L126 22L127 24L126 25L126 27L120 25L122 22L118 21L117 19L115 18L117 17L115 16L118 15L116 12L123 12L118 13L121 15L125 13L124 12L126 13L134 11L138 12L137 11L140 9L141 12L138 13L140 13L142 12L144 12L141 12L142 10L146 11L145 9L158 7L163 8L158 10L169 9L173 11L178 10L188 11L189 12L199 11L200 14L197 14L200 15L191 17L191 19L187 22L187 19L192 15L178 18L175 20L179 20L178 23ZM131 9L132 11L129 10ZM179 20L180 23L179 24ZM116 25L116 26L113 26L111 24L115 23ZM95 27L97 27L96 29ZM113 21L113 23L111 23L108 22L108 20L113 20ZM167 40L169 43L167 42ZM170 45L170 47L168 46ZM61 52L59 54L62 57L61 60L58 58L55 53L56 53L58 50ZM68 61L70 63L69 65L67 65L68 64L65 62L66 61ZM178 55L178 51L184 56L180 54ZM143 30L139 35L139 36L134 36L135 35L134 33L137 33L140 30ZM129 41L129 39L131 39L131 36L133 38ZM111 12L107 15L106 17L103 17L104 16L103 15L110 11L117 11ZM109 6L112 6L109 7L108 7L109 6L106 6ZM171 29L170 29L169 28L172 26ZM108 42L106 46L103 48L102 46L102 42ZM108 42L103 42L102 44L100 42L107 37L109 39ZM54 42L53 44L51 43ZM196 73L195 75L192 76ZM196 69L199 71L197 73ZM149 35L144 34L145 33ZM113 60L112 60L111 66L109 66L107 60ZM117 62L118 59L117 58L119 58L120 60L119 56L122 56L123 59L119 61L120 64L118 65ZM99 30L99 32L91 38L97 30ZM95 35L93 36L93 38L91 38ZM149 23L154 22L155 21L165 22L164 23L167 24L158 27L154 26ZM35 32L44 33L46 36L47 40L49 40L52 38L51 40L49 40L49 42L43 40L37 33L36 32L36 33L39 37ZM93 42L91 41L91 38L93 38L93 36L95 35L97 36L96 36L97 41ZM94 43L94 41L97 41L96 36L102 39L102 41L99 42L97 44ZM156 46L157 47L158 49ZM165 48L164 49L161 49L165 46L166 47ZM118 58L118 55L120 58L120 60ZM128 57L128 59L125 64L124 60ZM113 20L112 19L115 19ZM105 33L106 32L111 33L112 32L114 32L114 39L106 36ZM115 19L112 19L114 18L115 18ZM157 38L160 42L158 42L158 40L156 40ZM139 28L141 27L139 27L140 26L145 27ZM119 51L120 47L123 48L122 53ZM139 27L138 27L133 25L131 25L131 27L129 27L128 25L129 24L127 24L126 22L128 21L134 22L134 20L138 19L143 20L144 22L149 23L144 25L145 27ZM180 25L181 26L178 27L179 25ZM178 27L178 30L173 31L177 29ZM104 24L108 24L107 25L110 28L109 29ZM124 29L126 30L127 33L122 32ZM130 29L134 30L134 33L135 35L134 36L129 35L125 31L125 28ZM154 47L158 50L159 53ZM169 49L167 50L169 50L167 51L168 52L167 51L166 53L167 49ZM161 49L164 49L165 48L166 49L164 52L161 52ZM178 51L178 55L173 51ZM138 37L139 36L139 35L142 32L141 31L143 30L146 35L154 34L152 38L151 36L149 35L149 38L145 41L143 46L141 38L139 38ZM91 13L92 14L90 15L86 14ZM112 23L112 24L109 24ZM54 42L52 43L50 42ZM66 47L67 46L69 49L67 49ZM94 45L92 44L92 43L95 43L96 45ZM115 27L113 28L113 29L112 30L113 29L112 27ZM100 44L101 47L98 47L98 44ZM105 24L103 21L105 20L105 19L108 20L108 22L107 22L108 23ZM124 27L122 26L125 26L126 27ZM107 49L108 51L106 52L105 50ZM104 24L104 26L101 26L99 26L99 24L97 23L101 22ZM113 13L111 12L116 11L118 15L113 17L112 15ZM120 47L118 46L121 42L127 46L122 48ZM115 18L113 17L116 17ZM120 42L121 40L124 43ZM120 38L114 38L114 33L119 33L119 35L118 34ZM58 50L55 52L56 50ZM83 4L88 4L83 4L87 5L94 5L89 6L88 7L90 7L87 7L89 9L85 9L88 9L85 10L88 11L85 10L84 11L88 11L78 14L76 17L72 15L70 13L72 13L70 13L72 12L70 12L72 12L70 11L71 10L69 10L67 8L60 7L66 4ZM55 37L59 39L53 38ZM108 25L111 25L109 25L110 26ZM96 44L99 45L98 47L96 48ZM117 55L116 55L116 57L112 56L112 54L107 53L109 52L111 47L115 47L117 49L116 51ZM106 52L108 51L107 49L110 48L109 52ZM60 43L59 45L63 47L63 49L61 49L61 52L56 49L57 45ZM160 38L158 37L156 38L153 34L149 35L145 33L141 28L145 27L144 25L148 23L154 26L161 26L167 24L164 23L167 21L170 21L173 23L175 23L173 26L165 28L168 29L166 31L168 34L165 37ZM61 60L63 63L59 78L62 79L60 80L59 79L59 77L58 76L60 75ZM113 39L113 44L109 46L107 42L108 37ZM113 45L115 47L111 47L109 49L108 47L109 46L112 44ZM28 19L22 16L22 11L29 11L40 13L41 12L40 12L46 12L47 13L48 12L46 11L47 10L51 13L52 11L55 12L53 13L49 13L51 14L48 14L50 15L47 16L48 18L54 19L56 22L56 20L57 19L57 15L59 15L61 16L62 18L64 17L66 19L68 20L66 20L69 21L61 23L54 27L54 25L51 23L32 23L28 20ZM36 10L41 9L44 11L37 12L35 11L38 11L34 10ZM33 9L36 9L33 10L30 10L31 9ZM61 4L66 4L56 6L59 6L55 8L50 7L54 7L51 7L55 6L52 5L57 5L49 5ZM44 9L46 10L43 10ZM53 14L55 15L52 15ZM49 5L53 6L49 6L46 5ZM48 7L56 8L49 9L46 7ZM48 9L50 9L47 10ZM63 25L62 24L58 25L64 23L63 23L66 25L64 26L65 25ZM69 21L68 22L70 23L71 24L67 24ZM52 11L55 9L66 13L62 13L64 15L62 15L63 16L57 14L60 13L58 11L51 11L52 11L50 9L53 9ZM105 47L108 43L109 49L106 49ZM160 42L159 44L157 44L157 42ZM156 39L154 40L155 44L154 41L152 41L151 38L154 34ZM101 44L97 44L100 42L101 43ZM116 27L113 27L112 26L116 26ZM63 49L66 47L67 49L71 48L72 49L71 51L74 50L80 53L77 62L73 64L70 69L68 67L70 65L68 62L68 59L64 55L61 56L59 54L61 52L61 49ZM114 60L116 62L111 65L112 60ZM61 60L61 56L64 55L68 60L62 63ZM101 47L100 44L102 43ZM118 21L113 21L116 19L117 19ZM149 38L149 35L151 36L151 38L150 37ZM127 29L125 27L127 27ZM180 57L185 64L183 71L179 71L176 70L177 68L175 69L173 67L164 69L163 62L167 61L170 58L172 58L173 56L176 57L175 58L178 60ZM68 67L68 71L64 73L65 74L62 76L63 77L62 78L62 79L60 79L59 78L62 64L65 62L68 64L67 65L70 64ZM113 56L112 57L113 60L107 60L108 56L107 53L112 54ZM105 29L105 35L107 37L103 39L102 39L95 35L99 32L99 30ZM137 29L142 29L137 33L134 33L134 30ZM68 85L64 87L66 90L66 91L57 93L60 93L55 93L57 94L53 93L66 96L87 94L80 94L90 92L94 89L122 89L130 87L139 88L137 91L147 87L175 87L195 90L189 92L193 94L188 95L200 97L200 100L0 100L0 97L13 97L3 96L11 96L15 96L13 95L18 95L12 93L36 91L45 92L43 90L62 91L63 90L63 87ZM75 94L76 95L70 95ZM61 88L62 90L58 90L61 90L60 88Z","height":100,"rect":{"h":6.7,"w":12.2,"x":101.4,"y":17.5},"width":200},"points":[{"date":"2026-10-22","label":"Berlin","lat":52.52,"lon":13.405,"n":1,"verification":"researched","x":500,"y":450},{"date":"2026-10-22","label":"Berlin","lat":52.52,"lon":13.405,"n":2,"verification":"researched","x":500,"y":450},{"date":"2026-10-21","label":"Berlin","lat":52.52,"lon":13.405,"n":3,"verification":"researched","x":500,"y":450}],"projection":"equirectangular","rivers":[{"d":"M673.5 784.4L686 797.4L693.1 803.3L698.8 806.2L716.3 806.7L744.1 804.9L746 803.3L755.3 802.6L758.6 803.5L760.1 805.6L761 810.8L758.1 827.9L756.7 833L753.5 836.6L750 852.7L752.1 857.8L752.8 878.7L754.6 883.5L753.8 887.6L750.5 891.1L749.6 895.1L751 900"},{"d":"M1000 124.9L993.6 122L990.1 118.8L986 109"},{"d":"M930.9 694L941.6 679.5L955.6 672.4L965.6 671.6L976.3 674.7L989.9 681.3L993.9 686.1L996.3 692.2L1000 695.6"},{"d":"M263.4 785.5L275.7 794.2L285.1 793.8L291.5 790.8L298 785L305 782.5L312.5 783.2L318.2 780.3L322.2 773.8L325.8 770.7L329.1 770.9L350.4 755L362.2 750.3L363.5 747.6L377.1 738L391.4 733.9L421.4 729.4L425.2 723.7L429.1 721L434.3 719.6L437 717.2L437.4 711.9L446.9 712.6L452.3 714.6L459 719.7M673.5 784.4L671.6 780.2L665.4 776.5L648.5 777L640.6 773.1L634.9 764.4L628 760.5L612.1 760.5L598.9 757.2L595.7 757.7L584.9 771.8L579.5 774.1L574.4 774.2L569.7 771.9L565 772L560.3 774.2L553.8 772.6L545.4 767.1L528.8 762.6L527.7 759.1L521.3 754.4L503.7 745.4L496 743.8L490.6 741.3L485.2 737.2L481.7 732.9L480.2 728.5L477.4 726.3L468 724.5L459 719.2"},{"d":"M519 857.2L543.9 852.9L550.3 848.3L555.4 847.2L561.5 848L566.4 845.6L570.3 840.1L579.4 834L586.6 834.5L588.9 840.3L587.6 841.5L587.2 845.1L587.8 851L594.5 864.2L599.3 881.4L601.5 883.8L620.3 889.3L628.1 896.2L633.1 898.9L638.7 900"},{"d":"M599.4 587L600.9 593L606.3 599.8L606.4 602.7L613.1 611.1L613.4 614.4L610.2 624.3L610.1 631L603.7 635.1L583.5 636.4L580 633.4L576.8 627.6L571.4 625.6L562.7 625.4L555.9 622.3L548.7 613.3L544.9 606.1L542.3 604.5L539.8 605.9L538.1 604.9L537.3 601.6L535.3 600L530 598.8L529 596.5L531 589.4L534.5 587.5L536.4 582.8L536.8 575.2L533.4 570.2L526.1 567.7L521.4 564.6L519.3 560.9L515.5 558.1L505.3 553.4L501.7 549.8L497.3 540.6L491.8 535.3L489.9 528.5M490.2 528.5L478.5 517.3L474.3 510.6L473.7 504.8L469.7 500.8L462.3 498.7L442.6 498.5L435.6 495.8L432.5 490.1L428.7 486.7L421.8 483.6L420.7 477.4L421.8 473.2L434.9 456.2L436.5 431.2L432.3 420.1L423.3 413.5L415.6 409.9L409.2 409.3L403.8 407L396.6 401.5L395.1 402.6L375.8 386.3L372 386.1L363.5 382.7L358.5 382.1L354.4 383L348.4 381M348.4 381L334.8 372.4L340 372.6L346.8 375.3L348.4 381"},{"d":"M451.2 11L443.7 21L441 28.5L440.7 36.7L437.2 44.4L427.2 55.4L423.5 56.7"},{"d":"M131.5 491.8L123.8 489.5L116.4 490.7L98 496.7L90.2 496.8L83.6 495.1L74.7 489.4"},{"d":"M163.8 498.6L158.5 492L150.5 490.4L131.5 491.8"},{"d":"M692.3 658.5L702.7 664.9L707.3 666.2L716.2 659.3L723.7 647.6L724.1 641.1L721.2 634.9L720.2 628.7L721.2 622.5L718.2 614.9L711.2 605.9L707.8 599.1L706.9 589.8L704.2 584.9L698.8 580.5L684.6 572.9L680.5 569.4L672.9 558.9L664.8 554.2L658.1 546.8L652.1 545L644.6 546.3L640.1 545.6L638.5 540.3L639.7 537.5L639.5 525.1L637 519.4L632.6 515.1L628.6 513.2L625.1 513.8L611.4 508.2L607.9 503.2L608.7 496.9L607.4 491.9L603.9 488.2L592.1 485.6L561.9 483.2L559.3 480.7L559.3 473.4L558.2 470.3L553.3 465.4L552.5 462L555.4 449.4L550.6 440.6L538.7 430.3L533 423.1L533.5 419L536 415.3L540.5 412L544 406.1L547.5 393.3L553.7 380.6L555.4 374.6L553.8 366"},{"d":"M287.6 888.3L317.9 876.4M317.6 876.4L322.6 871L323.3 866.8L321.6 861.9L321.1 851L326.8 834.6L327.5 829L324.3 825.7"},{"d":"M293.5 814.8L285.3 812.5L281.6 814.3L279.8 819.4L275.3 820.8L268.3 818.5L262.4 818.5L257.6 820.8L250 821.7L239.6 821.3L233.5 818.5L231.9 813.5L235.5 788.8L234.4 784.2L242.6 758.2L245.9 741.3L263.8 716.6"},{"d":"M263.8 716.6L272.4 698L276.1 684.2L270.7 668.2L271.1 662.2L273.3 656.5L269.6 645.6L264.4 637.3L259.2 637L251.6 639.7L244.4 635.8L235.4 622.3L236.4 614.7L235.4 611.5L223.4 602.6L219.4 597.1L216.1 588.5L208.9 578.6L204.9 561L202.3 559.2L199.3 551.3L196.6 550L195.9 543.9L193.5 541.3L194.3 532.4L193.4 524.7L189.1 519.6L189.3 516.2L178.4 505.9L171.7 501.2L165.7 498.8L152 499.2L144.8 497.4L138.9 498.2L134.2 501.5L127.8 503L115.8 502.2"},{"d":"M103.1 820.7L97.5 808.5L96.1 803.1L96.6 797.1L89.4 782.9L85.5 778.1L80.5 774.8L64.3 750.3L60 747.7L50.8 749.6L36.6 756L26.9 759.5L21.6 760.1L16.9 758.3L10.9 752.1L5.7 749L0 741.7"},{"d":"M758.1 827.9L759.6 834.4L754.2 843.3L753 849L754.2 856.5L752.4 861.5"},{"d":"M862.4 787L854.9 788.6L851.3 793.2L849.2 801.4L840.7 812.3L825.9 825.7L819.2 835.3L820.4 843.8L818.2 843.6L810.7 850.7L808.9 855.1L810.9 861.2L808 865.5L806.7 870.6L804 873.5L804.6 878.2L808.5 884.7L809.7 890L808.2 894.2L808.3 900M995.2 764.9L998.9 767L998.7 771.4L991.3 792.4L983.6 793.8L970.2 790.3L959.7 785.3L951.9 778.8L944.5 777.4L937.7 781.1L932.6 782.1L929.4 780.6L917.1 783.1L911.4 781.8L907.1 777.1L904.9 770.7L903.8 758.4L902.2 757.9L886.3 772.4L880.8 775.1L870.8 775.9L867.8 778.1L865.3 785.7L862.1 787"},{"d":"M749.8 665.7L745.7 652.7L744.9 647.4L746.7 644.6M752.5 644.1L758.4 642.6L764.5 635.9L771.2 635.6L782.1 639.1L794.2 638.5L824.8 628.7L830.4 624.9L834.6 619.4L841.3 616L850.3 614.5L859.8 610.1L869.7 602.6L877.2 595.1L882.4 587.4L884.2 575.6L882.4 549.9L883.3 546.1L889.3 538.9L890.5 535L889.2 530.8L884.5 526.4L884.2 523.3L880 519.7L871.8 515.5L867.2 511.2L866.2 506.8L857.6 495.1L858.7 493.2L858.4 489.5L856.7 484L845.4 466.4L839.4 460.2L834.3 457.8L824.9 457.6L811.1 459.6L799.3 457.4L784.5 447.8L764.5 440.7L753.5 432L744.7 419.4L734.2 411.1L722.2 407.3L718.8 400.9L724.1 392.1L730.8 385.3L739.2 380.7L743.4 375L745.2 363.5L749.4 355.7L749.5 343L748 335.8L748.6 329.4L751.5 323.7L754.3 312.8"},{"d":"M115.8 502.2L97.3 510.1L89.9 508.5L74.2 500.9L69.8 500.4"},{"d":"M29 865.1L26.2 852.8L21.3 842.5L20.3 836.8L21.4 832.2L19.8 826.6L15.5 819.8L0 806.7M28.9 865.1L36.5 867.6L40.2 875.5L47.5 876.8L53.7 883.5L58.2 891.1L59.3 897.2L63.1 900"}],"scale":{"km":200,"label":"200 km","px":134.7},"version":2,"width":1000},"name":"Open-weights race: Muse Spark Open, Nemotron, Beam and on-device models","numbers":{"actors":[{"iso2":"DE","leaders":{"head_of_government":"Friedrich Merz","head_of_state":"Frank-Walter Steinmeier"},"metrics":{"armed_forces":{"label":"Armed forces personnel","of":173,"plain":"The number of people in uniform, including paramilitary forces. It is a rough gauge of manpower, not of quality.","rank":35,"source":"wb","unit":"persons","value":183000,"year":2020},"coal_cons":{"label":"Coal consumption","of":78,"rank":11,"source":"owid","unit":"twh","value":438.235,"year":2024},"coal_prod":{"label":"Coal production","of":186,"rank":15,"source":"owid","unit":"twh","value":228.762,"year":2024},"current_account_imf":{"label":"Current account balance, share of GDP (IMF)","of":190,"plain":"The country's net trade and income with the rest of the world, as a share of GDP. A big deficit means it relies on foreign money to pay its way.","rank":36,"source":"imf","trend":[[2016,8.9],[2017,8.1],[2018,8.4],[2019,7.9],[2020,6.3],[2021,6.9],[2022,3.8],[2023,5.5],[2024,5.8],[2025,4.4],[2026,3.9]],"unit":"pct","value":3.9,"year":2026},"energy_import_pct":{"label":"Net energy imports, share of use","of":141,"plain":"The share of the energy the country uses that it has to buy from abroad. A high share means a cut-off or a price spike hurts quickly.","rank":26,"source":"wb","unit":"pct","value":70.4874,"year":2023},"energy_production":{"label":"Fossil fuel production (oil + gas + coal)","of":186,"plain":"All the oil, gas and coal the country digs or pumps in a year, counted in terawatt-hours of energy. It shows whether the country feeds itself or depends on imports.","rank":41,"source":"owid","unit":"twh","value":295.004,"year":2024},"energy_use":{"label":"Primary energy consumption","of":188,"plain":"All the energy the country consumes in a year, in terawatt-hours. Set against production, it shows how exposed the country is to supply shocks.","rank":11,"source":"owid","trend":[[2014,3710.47],[2015,3780.86],[2016,3841.45],[2017,3949.56],[2018,3845.41],[2019,3753.7],[2020,3498.91],[2021,3598.49],[2022,3455.45],[2023,3178.89],[2024,3195.44]],"unit":"twh","value":3195.44,"year":2024},"exports_pct":{"label":"Exports, share of GDP","of":171,"rank":71,"source":"wb","trend":[[2016,41.6355],[2017,42.203],[2018,42.4969],[2019,42.3402],[2020,39.1198],[2021,42.5198],[2022,45.6284],[2023,42.9673],[2024,41.4341],[2025,40.4348]],"unit":"pct","value":40.4348,"year":2025},"exports_usd":{"label":"Exports of goods and services","of":171,"rank":3,"source":"wb","unit":"usd","value":2042330000000,"year":2025},"fiscal_balance_imf":{"label":"Government net lending/borrowing, share of GDP (IMF)","of":190,"plain":"How much the government spends beyond (negative) or below (positive) what it collects, as a share of GDP. Persistent deficits pile up as debt.","rank":118,"source":"imf","trend":[[2016,1.1],[2017,1.3],[2018,1.9],[2019,1.3],[2020,-4.4],[2021,-3.2],[2022,-1.9],[2023,-2.5],[2024,-2.7],[2025,-2.7],[2026,-3.8]],"unit":"pct","value":-3.8,"year":2026},"fuel_exports_pct":{"label":"Fuels, share of goods exports","of":174,"plain":"The share of the country's goods exports that are oil, gas and coal. A high share means the budget rises and falls with energy prices.","rank":105,"source":"wb","unit":"pct","value":2.07455,"year":2024},"gas_cons":{"label":"Gas consumption","of":78,"rank":9,"source":"owid","unit":"twh","value":785.71,"year":2024},"gas_prod":{"label":"Gas production","of":186,"rank":50,"source":"owid","unit":"twh","value":36.603,"year":2024},"gdp":{"label":"GDP","of":193,"plain":"The total value of everything the country produces in a year, in US dollars. It is the standard measure of economic size.","rank":3,"source":"wb","trend":[[2016,3536790000000],[2017,3765350000000],[2018,4055430000000],[2019,3959890000000],[2020,3941400000000],[2021,4355250000000],[2022,4201020000000],[2023,4562210000000],[2024,4685590000000],[2025,5050920000000]],"unit":"usd","value":5050920000000,"year":2025},"gdp_growth":{"label":"GDP growth","of":193,"plain":"How much the economy grew (or shrank) over the year, after removing price rises. Slow growth strains budgets and politics.","rank":176,"source":"wb","trend":[[2016,2.22222],[2017,2.79791],[2018,1.1357],[2019,0.977735],[2020,-4.13191],[2021,3.91],[2022,1.80926],[2023,-0.869648],[2024,-0.495852],[2025,0.239578]],"unit":"pct","value":0.239578,"year":2025},"gdp_pc":{"label":"GDP per person","of":193,"plain":"GDP divided by population: roughly how much output there is per person. It says more about living standards than total size does.","rank":17,"source":"wb","trend":[[2016,42948.9],[2017,45553.9],[2018,48916.2],[2019,47656.2],[2020,47394.9],[2021,52349.2],[2022,50506.5],[2023,54776.8],[2024,56103.7],[2025,60496.4]],"unit":"usd","value":60496.4,"year":2025},"gov_debt_imf":{"label":"General government gross debt, share of GDP (IMF)","of":187,"plain":"What the whole government owes, as a share of a year of national output. Higher means less room to borrow in a crisis.","rank":69,"source":"imf","trend":[[2016,68.3],[2017,64],[2018,60.8],[2019,58.7],[2020,68],[2021,67.9],[2022,64.4],[2023,62.3],[2024,62.2],[2025,62.9],[2026,64.6]],"unit":"pct","value":64.6,"year":2026},"imports_pct":{"label":"Imports, share of GDP","of":171,"rank":98,"source":"wb","trend":[[2016,34.3704],[2017,35.2519],[2018,36.6283],[2019,36.733],[2020,33.8137],[2021,37.3997],[2022,43.1573],[2023,38.9953],[2024,37.6567],[2025,38.078]],"unit":"pct","value":38.078,"year":2025},"imports_usd":{"label":"Imports of goods and services","of":171,"rank":3,"source":"wb","unit":"usd","value":1923290000000,"year":2025},"milex":{"label":"Military spending","of":167,"plain":"What the government spends on its military in a year, in US dollars. It is the headline measure of military effort.","rank":4,"source":"wb","trend":[[2016,39909700000],[2017,42281100000],[2018,46497700000],[2019,49079400000],[2020,53318700000],[2021,56513100000],[2022,56153100000],[2023,67285200000],[2024,88458500000]],"unit":"usd","value":88458500000,"year":2024},"milex_pct":{"label":"Military spending, share of GDP","of":156,"plain":"Military spending as a share of GDP. It shows how heavily the economy is weighed toward defence, whatever its size.","rank":68,"source":"wb","trend":[[2016,1.12913],[2017,1.13126],[2018,1.14814],[2019,1.24015],[2020,1.35599],[2021,1.29982],[2022,1.35031],[2023,1.48796],[2024,1.8919]],"unit":"pct","value":1.8919,"year":2024},"oil_cons":{"label":"Oil consumption","of":78,"rank":10,"source":"owid","unit":"twh","value":1176.55,"year":2024},"oil_prod":{"label":"Oil production","of":186,"rank":55,"source":"owid","unit":"twh","value":29.639,"year":2016},"population":{"label":"Population","of":194,"rank":19,"source":"wb","trend":[[2016,82348700],[2017,82657000],[2018,82905800],[2019,83093000],[2020,83160900],[2021,83196100],[2022,83177800],[2023,83287300],[2024,83516600],[2025,83491200]],"unit":"people","value":83491200,"year":2025},"reserves_months":{"label":"Foreign reserves, months of imports","of":166,"plain":"How many months of imports the reserves would cover. Under three months is usually considered thin.","rank":112,"source":"wb","unit":"months","value":3.10967,"year":2025},"reserves_usd":{"label":"Foreign reserves (incl. gold)","of":172,"plain":"The foreign currency and gold the central bank holds. It is the cushion for defending the currency and paying for imports in a crisis.","rank":7,"source":"wb","trend":[[2016,184031000000],[2017,199983000000],[2018,198027000000],[2019,224028000000],[2020,268409000000],[2021,295736000000],[2022,293914000000],[2023,322700000000],[2024,377935000000],[2025,572202000000]],"unit":"usd","value":572202000000,"year":2025}},"name":"Germany","trade":{"exports":{"partners":[{"iso2":"US","name":"United States","share":10,"value":173071000000},{"iso2":"FR","name":"France","share":7.6,"value":130331000000},{"iso2":"NL","name":"Netherlands","share":7,"value":121180000000},{"iso2":"CN","name":"China","share":6.2,"value":106870000000},{"iso2":"PL","name":"Poland","share":5.7,"value":98515800000}],"products":[{"name":"Machinery and electronics","share":27.1,"value":467708000000},{"name":"Vehicles and transport","share":20,"value":345518000000},{"name":"Chemicals","share":13.5,"value":233008000000},{"name":"Miscellaneous","share":9.5,"value":163934000000},{"name":"Metals","share":7.5,"value":129465000000}],"total":1725530000000,"year":2023},"imports":{"partners":[{"iso2":"CN","name":"China","share":11.8,"value":175605000000},{"iso2":"NL","name":"Netherlands","share":7.2,"value":106682000000},{"iso2":"US","name":"United States","share":6.9,"value":102051000000},{"iso2":"PL","name":"Poland","share":5.9,"value":88131700000},{"iso2":"IT","name":"Italy","share":5.2,"value":77791800000}],"products":[{"name":"Machinery and electronics","share":26.5,"value":393639000000},{"name":"Vehicles and transport","share":12.4,"value":184393000000},{"name":"Chemicals","share":11.5,"value":170291000000},{"name":"Fuels (oil, gas, coal)","share":9,"value":133886000000},{"name":"Miscellaneous","share":8.3,"value":122883000000}],"total":1486750000000,"year":2023}}},{"iso2":"FR","leaders":{"head_of_government":"Sébastien Lecornu"},"metrics":{"armed_forces":{"label":"Armed forces personnel","of":173,"plain":"The number of people in uniform, including paramilitary forces. It is a rough gauge of manpower, not of quality.","rank":23,"source":"wb","unit":"persons","value":304000,"year":2020},"coal_cons":{"label":"Coal consumption","of":78,"rank":28,"source":"owid","unit":"twh","value":49.369,"year":2024},"coal_prod":{"label":"Coal production","of":186,"rank":105,"source":"owid","unit":"twh","value":0,"year":2016},"current_account_imf":{"label":"Current account balance, share of GDP (IMF)","of":190,"plain":"The country's net trade and income with the rest of the world, as a share of GDP. A big deficit means it relies on foreign money to pay its way.","rank":67,"source":"imf","trend":[[2016,-0.5],[2017,-0.5],[2018,-0.7],[2019,0.6],[2020,-2.1],[2021,0.3],[2022,-1.4],[2023,-1],[2024,0.1],[2025,-0.4],[2026,-0.3]],"unit":"pct","value":-0.3,"year":2026},"energy_import_pct":{"label":"Net energy imports, share of use","of":141,"plain":"The share of the energy the country uses that it has to buy from abroad. A high share means a cut-off or a price spike hurts quickly.","rank":48,"source":"wb","unit":"pct","value":47.1279,"year":2023},"energy_production":{"label":"Fossil fuel production (oil + gas + coal)","of":186,"plain":"All the oil, gas and coal the country digs or pumps in a year, counted in terawatt-hours of energy. It shows whether the country feeds itself or depends on imports.","rank":95,"source":"owid","unit":"twh","value":10.769,"year":2016},"energy_use":{"label":"Primary energy consumption","of":188,"plain":"All the energy the country consumes in a year, in terawatt-hours. Set against production, it shows how exposed the country is to supply shocks.","rank":13,"source":"owid","trend":[[2014,2797.78],[2015,2823.43],[2016,2766.6],[2017,2756.23],[2018,2790.43],[2019,2731.35],[2020,2444.26],[2021,2597.56],[2022,2306.19],[2023,2406.51],[2024,2519.9]],"unit":"twh","value":2519.9,"year":2024},"exports_pct":{"label":"Exports, share of GDP","of":171,"rank":90,"source":"wb","trend":[[2016,31.4982],[2017,32.3118],[2018,32.918],[2019,32.8895],[2020,28.5572],[2021,31.288],[2022,36.616],[2023,34.4563],[2024,33.8898],[2025,33.3928]],"unit":"pct","value":33.3928,"year":2025},"exports_usd":{"label":"Exports of goods and services","of":171,"rank":5,"source":"wb","unit":"usd","value":1124110000000,"year":2025},"fiscal_balance_imf":{"label":"Government net lending/borrowing, share of GDP (IMF)","of":190,"plain":"How much the government spends beyond (negative) or below (positive) what it collects, as a share of GDP. Persistent deficits pile up as debt.","rank":141,"source":"imf","trend":[[2016,-3.8],[2017,-3.4],[2018,-2.3],[2019,-2.4],[2020,-8.9],[2021,-6.6],[2022,-4.7],[2023,-5.4],[2024,-5.8],[2025,-5.1],[2026,-4.9]],"unit":"pct","value":-4.9,"year":2026},"fuel_exports_pct":{"label":"Fuels, share of goods exports","of":174,"plain":"The share of the country's goods exports that are oil, gas and coal. A high share means the budget rises and falls with energy prices.","rank":82,"source":"wb","unit":"pct","value":4.40932,"year":2024},"gas_cons":{"label":"Gas consumption","of":78,"rank":26,"source":"owid","unit":"twh","value":319.686,"year":2024},"gas_prod":{"label":"Gas production","of":186,"rank":89,"source":"owid","unit":"twh","value":0.236,"year":2016},"gdp":{"label":"GDP","of":193,"plain":"The total value of everything the country produces in a year, in US dollars. It is the standard measure of economic size.","rank":7,"source":"wb","trend":[[2016,2470410000000],[2017,2588870000000],[2018,2781580000000],[2019,2722790000000],[2020,2647930000000],[2021,2966430000000],[2022,2794790000000],[2023,3056250000000],[2024,3160440000000],[2025,3366320000000]],"unit":"usd","value":3366320000000,"year":2025},"gdp_growth":{"label":"GDP growth","of":193,"plain":"How much the economy grew (or shrank) over the year, after removing price rises. Slow growth strains budgets and politics.","rank":163,"source":"wb","trend":[[2016,0.860031],[2017,2.08361],[2018,1.64591],[2019,2.02745],[2020,-7.44065],[2021,6.88234],[2022,2.71676],[2023,1.43921],[2024,1.19047],[2025,0.84095]],"unit":"pct","value":0.84095,"year":2025},"gdp_pc":{"label":"GDP per person","of":193,"plain":"GDP divided by population: roughly how much output there is per person. It says more about living standards than total size does.","rank":26,"source":"wb","trend":[[2016,37024.2],[2017,38687.2],[2018,41418.2],[2019,40408.3],[2020,39169.9],[2021,43725.1],[2022,40988.6],[2023,44700.1],[2024,46103.1],[2025,48985.7]],"unit":"usd","value":48985.7,"year":2025},"gov_debt_imf":{"label":"General government gross debt, share of GDP (IMF)","of":187,"plain":"What the whole government owes, as a share of a year of national output. Higher means less room to borrow in a crisis.","rank":16,"source":"imf","trend":[[2016,98.1],[2017,98.8],[2018,98.5],[2019,98.2],[2020,114.9],[2021,112.8],[2022,111.4],[2023,109.6],[2024,113.2],[2025,116],[2026,118.4]],"unit":"pct","value":118.4,"year":2026},"imports_pct":{"label":"Imports, share of GDP","of":171,"rank":107,"source":"wb","trend":[[2016,31.8445],[2017,33.084],[2018,33.8843],[2019,33.5394],[2020,30.2817],[2021,32.5004],[2022,39.347],[2023,36.1699],[2024,34.2184],[2025,33.7996]],"unit":"pct","value":33.7996,"year":2025},"imports_usd":{"label":"Imports of goods and services","of":171,"rank":5,"source":"wb","unit":"usd","value":1137800000000,"year":2025},"milex":{"label":"Military spending","of":167,"plain":"What the government spends on its military in a year, in US dollars. It is the headline measure of military effort.","rank":9,"source":"wb","trend":[[2016,45703400000],[2017,47628100000],[2018,51321400000],[2019,50454500000],[2020,53423000000],[2021,58734600000],[2022,54677400000],[2023,59492000000],[2024,64675000000]],"unit":"usd","value":64675000000,"year":2024},"milex_pct":{"label":"Military spending, share of GDP","of":156,"plain":"Military spending as a share of GDP. It shows how heavily the economy is weighed toward defence, whatever its size.","rank":57,"source":"wb","trend":[[2016,1.85172],[2017,1.85231],[2018,1.84604],[2019,1.85289],[2020,2.02167],[2021,1.98022],[2022,1.95772],[2023,1.951],[2024,2.05258]],"unit":"pct","value":2.05258,"year":2024},"oil_cons":{"label":"Oil consumption","of":78,"rank":15,"source":"owid","unit":"twh","value":775.669,"year":2024},"oil_prod":{"label":"Oil production","of":186,"rank":74,"source":"owid","unit":"twh","value":10.533,"year":2016},"population":{"label":"Population","of":194,"rank":23,"source":"wb","trend":[[2016,66724100],[2017,66918000],[2018,67158300],[2019,67382100],[2020,67601100],[2021,67842800],[2022,68184500],[2023,68372300],[2024,68551700],[2025,68720300]],"unit":"people","value":68720300,"year":2025},"reserves_months":{"label":"Foreign reserves, months of imports","of":166,"plain":"How many months of imports the reserves would cover. Under three months is usually considered thin.","rank":104,"source":"wb","unit":"months","value":3.4514,"year":2025},"reserves_usd":{"label":"Foreign reserves (incl. gold)","of":172,"plain":"The foreign currency and gold the central bank holds. It is the cushion for defending the currency and paying for imports in a crisis.","rank":12,"source":"wb","trend":[[2016,145866000000],[2017,156322000000],[2018,166483000000],[2019,189006000000],[2020,224236000000],[2021,244280000000],[2022,242416000000],[2023,240792000000],[2024,282857000000],[2025,428208000000]],"unit":"usd","value":428208000000,"year":2025}},"name":"France","trade":{"exports":{"partners":[{"iso2":"DE","name":"Germany","share":13.5,"value":86452500000},{"iso2":"IT","name":"Italy","share":9,"value":57390600000},{"iso2":"BE","name":"Belgium","share":8.2,"value":52221500000},{"iso2":"ES","name":"Spain","share":7.5,"value":48330800000},{"iso2":"US","name":"United States","share":7.1,"value":45541300000}],"products":[{"name":"Machinery and electronics","share":18.8,"value":120124000000},{"name":"Chemicals","share":16.5,"value":105790000000},{"name":"Vehicles and transport","share":16.1,"value":103038000000},{"name":"Foodstuffs","share":7.3,"value":46956600000},{"name":"Miscellaneous","share":6.7,"value":42938900000}],"total":640201000000,"year":2023},"imports":{"partners":[{"iso2":"DE","name":"Germany","share":15.5,"value":120352000000},{"iso2":"BE","name":"Belgium","share":11.4,"value":88752000000},{"iso2":"NL","name":"Netherlands","share":8.8,"value":68775500000},{"iso2":"ES","name":"Spain","share":8.1,"value":62857600000},{"iso2":"IT","name":"Italy","share":8,"value":61901300000}],"products":[{"name":"Machinery and electronics","share":20.1,"value":156510000000},{"name":"Fuels (oil, gas, coal)","share":13.5,"value":104575000000},{"name":"Vehicles and transport","share":13.3,"value":103185000000},{"name":"Chemicals","share":11.2,"value":87382500000},{"name":"Miscellaneous","share":7.2,"value":56013800000}],"total":777132000000,"year":2023}}},{"iso2":"GR","leaders":{"head_of_government":"Kyriakos Mitsotakis","head_of_state":"Konstantinos Tasoulas"},"metrics":{"armed_forces":{"label":"Armed forces personnel","of":173,"plain":"The number of people in uniform, including paramilitary forces. It is a rough gauge of manpower, not of quality.","rank":42,"source":"wb","unit":"persons","value":147000,"year":2020},"coal_cons":{"label":"Coal consumption","of":78,"rank":50,"source":"owid","unit":"twh","value":10.541,"year":2024},"coal_prod":{"label":"Coal production","of":186,"rank":39,"source":"owid","unit":"twh","value":9.203,"year":2024},"current_account_imf":{"label":"Current account balance, share of GDP (IMF)","of":190,"plain":"The country's net trade and income with the rest of the world, as a share of GDP. A big deficit means it relies on foreign money to pay its way.","rank":154,"source":"imf","trend":[[2016,-2.4],[2017,-2.5],[2018,-3.5],[2019,-2.1],[2020,-7.2],[2021,-7.2],[2022,-10.7],[2023,-6.8],[2024,-7.2],[2025,-5.7],[2026,-6.4]],"unit":"pct","value":-6.4,"year":2026},"energy_import_pct":{"label":"Net energy imports, share of use","of":141,"plain":"The share of the energy the country uses that it has to buy from abroad. A high share means a cut-off or a price spike hurts quickly.","rank":11,"source":"wb","unit":"pct","value":89.2461,"year":2023},"energy_production":{"label":"Fossil fuel production (oil + gas + coal)","of":186,"plain":"All the oil, gas and coal the country digs or pumps in a year, counted in terawatt-hours of energy. It shows whether the country feeds itself or depends on imports.","rank":94,"source":"owid","unit":"twh","value":11.358,"year":2024},"energy_use":{"label":"Primary energy consumption","of":188,"plain":"All the energy the country consumes in a year, in terawatt-hours. Set against production, it shows how exposed the country is to supply shocks.","rank":56,"source":"owid","trend":[[2014,307.91],[2015,311.723],[2016,306.993],[2017,322.197],[2018,324.066],[2019,316.887],[2020,276.956],[2021,302.536],[2022,314.334],[2023,305.897],[2024,321.187]],"unit":"twh","value":321.187,"year":2024},"exports_pct":{"label":"Exports, share of GDP","of":171,"rank":77,"source":"wb","trend":[[2016,31.1794],[2017,34.7794],[2018,38.6308],[2019,39.5603],[2020,31.4504],[2021,40.2604],[2022,49.2316],[2023,43.8388],[2024,42.1117],[2025,39.4618]],"unit":"pct","value":39.4618,"year":2025},"exports_usd":{"label":"Exports of goods and services","of":171,"rank":46,"source":"wb","unit":"usd","value":110744000000,"year":2025},"fiscal_balance_imf":{"label":"Government net lending/borrowing, share of GDP (IMF)","of":190,"plain":"How much the government spends beyond (negative) or below (positive) what it collects, as a share of GDP. Persistent deficits pile up as debt.","rank":18,"source":"imf","trend":[[2016,0.3],[2017,1.1],[2018,0.8],[2019,-0.1],[2020,-10.4],[2021,-7.8],[2022,-2.6],[2023,-1.4],[2024,1.2],[2025,1.3],[2026,0.6]],"unit":"pct","value":0.6,"year":2026},"fuel_exports_pct":{"label":"Fuels, share of goods exports","of":174,"plain":"The share of the country's goods exports that are oil, gas and coal. A high share means the budget rises and falls with energy prices.","rank":31,"source":"wb","unit":"pct","value":30.2478,"year":2024},"gas_cons":{"label":"Gas consumption","of":78,"rank":53,"source":"owid","unit":"twh","value":66.689,"year":2024},"gas_prod":{"label":"Gas production","of":186,"rank":92,"source":"owid","unit":"twh","value":0.137,"year":2016},"gdp":{"label":"GDP","of":193,"plain":"The total value of everything the country produces in a year, in US dollars. It is the standard measure of economic size.","rank":51,"source":"wb","trend":[[2016,193097000000],[2017,200381000000],[2018,213299000000],[2019,207306000000],[2020,191363000000],[2021,218304000000],[2022,217990000000],[2023,242946000000],[2024,256238000000],[2025,280636000000]],"unit":"usd","value":280636000000,"year":2025},"gdp_growth":{"label":"GDP growth","of":193,"plain":"How much the economy grew (or shrank) over the year, after removing price rises. Slow growth strains budgets and politics.","rank":133,"source":"wb","trend":[[2016,-0.0317948],[2017,1.47312],[2018,2.06467],[2019,2.27718],[2020,-9.19623],[2021,8.6545],[2022,5.52199],[2023,2.13591],[2024,2.08657],[2025,2.07307]],"unit":"pct","value":2.07307,"year":2025},"gdp_pc":{"label":"GDP per person","of":193,"plain":"GDP divided by population: roughly how much output there is per person. It says more about living standards than total size does.","rank":48,"source":"wb","trend":[[2016,17919.2],[2017,18632],[2018,19873.4],[2019,19335.4],[2020,17886.7],[2021,20652.9],[2022,20884.7],[2023,23343.7],[2024,24626.1],[2025,26948]],"unit":"usd","value":26948,"year":2025},"gov_debt_imf":{"label":"General government gross debt, share of GDP (IMF)","of":187,"plain":"What the whole government owes, as a share of a year of national output. Higher means less room to borrow in a crisis.","rank":9,"source":"imf","trend":[[2016,183.7],[2017,182.6],[2018,189.6],[2019,183.7],[2020,209.9],[2021,197.8],[2022,179.2],[2023,165.5],[2024,155.4],[2025,145.7],[2026,136.9]],"unit":"pct","value":136.9,"year":2026},"imports_pct":{"label":"Imports, share of GDP","of":171,"rank":80,"source":"wb","trend":[[2016,32.4782],[2017,36.1031],[2018,40.6072],[2019,41.0298],[2020,38.8433],[2021,47.7523],[2022,58.8902],[2023,48.6322],[2024,47.6648],[2025,43.9899]],"unit":"pct","value":43.9899,"year":2025},"imports_usd":{"label":"Imports of goods and services","of":171,"rank":44,"source":"wb","unit":"usd","value":123451000000,"year":2025},"milex":{"label":"Military spending","of":167,"plain":"What the government spends on its military in a year, in US dollars. It is the headline measure of military effort.","rank":34,"source":"wb","trend":[[2016,4963480000],[2017,5088180000],[2018,5757110000],[2019,5383120000],[2020,5773280000],[2021,8299910000],[2022,8745380000],[2023,7014880000],[2024,8021960000]],"unit":"usd","value":8021960000,"year":2024},"milex_pct":{"label":"Military spending, share of GDP","of":156,"plain":"Military spending as a share of GDP. It shows how heavily the economy is weighed toward defence, whatever its size.","rank":24,"source":"wb","trend":[[2016,2.5728],[2017,2.55662],[2018,2.70054],[2019,2.59648],[2020,3.02311],[2021,3.80247],[2022,4.00035],[2023,2.88325],[2024,3.12798]],"unit":"pct","value":3.12798,"year":2024},"oil_cons":{"label":"Oil consumption","of":78,"rank":42,"source":"owid","unit":"twh","value":173.308,"year":2024},"oil_prod":{"label":"Oil production","of":186,"rank":85,"source":"owid","unit":"twh","value":2.018,"year":2016},"population":{"label":"Population","of":194,"rank":93,"source":"wb","trend":[[2016,10776000],[2017,10754700],[2018,10732900],[2019,10721600],[2020,10698600],[2021,10570100],[2022,10437800],[2023,10407400],[2024,10405100],[2025,10414000]],"unit":"people","value":10414000,"year":2025},"reserves_months":{"label":"Foreign reserves, months of imports","of":166,"plain":"How many months of imports the reserves would cover. Under three months is usually considered thin.","rank":146,"source":"wb","unit":"months","value":1.29468,"year":2024},"reserves_usd":{"label":"Foreign reserves (incl. gold)","of":172,"plain":"The foreign currency and gold the central bank holds. It is the cushion for defending the currency and paying for imports in a crisis.","rank":63,"source":"wb","trend":[[2016,6851250000],[2017,7803720000],[2018,7578500000],[2019,8507450000],[2020,11931200000],[2021,14447200000],[2022,12061400000],[2023,13608600000],[2024,15221800000],[2025,24047500000]],"unit":"usd","value":24047500000,"year":2025}},"name":"Greece","trade":{}}],"as_of":"2026-10-24","trackers":[]},"on_record":[],"outlook":"Open-weights scaling into regulated and sovereign deployments is likely to continue if GTC Berlin design wins convert to production, but the measured capability gap to closed frontier will remain uncertain until independent benchmarks resume. Almost certain that no new gap assessment is possible while LMArena and SWE-bench leaderboards are not updating. Roughly even chance that the Oct 23 Bolt E4B 4GB edge release produces early on-device adoption signals within days.","pulses":[{"band":"elevated","change_24h":0,"change_7d":0,"id":"pls_ai_geopolitics_compute_control_erosion","name":"Compute Control Erosion","position":35},{"band":"severe","change_24h":0,"change_7d":0,"id":"pls_us_china_technology_export_control_decoupling","name":"Technology and Export-Control Decoupling","position":65}],"saga":"The open-weights race pits makers of openly downloadable AI models — including Meta with Muse Spark Open, Nvidia with Nemotron, and Hugging Face with Beam — against closed, API-only systems where the owner keeps the model. Open weights lets anyone run, copy and adapt the model themselves rather than rent access. The contest spans US and Chinese efforts and matters because who controls the underlying models shapes who can build, host and govern AI.","since_yesterday":[{"kind":"new","what":"Oct 22 Nvidia showcases at GTC Berlin cited concrete European finance and public-sector deployments on open models, providing the adoption signals we were watching for; no new independent benchmarks for Muse Spark Open or Beam appeared, so the gap assessment is unchanged."},{"kind":"unchanged","what":"DeepInfer open-sourcing (Oct 20) and DeepSeek-V4.1-Flash cost breakthrough (Oct 17) remain the most recent stack-level shifts; Tenstorrent $6.2B chip push (Oct 19) remains context."}],"temperature":{"coverage":"steady coverage","heat":2.12,"prior_share":0.0399,"recent_share":0.0125,"trend":"steady"},"theater_id":"thr_open_weights_race_muse_spark_open_nemotron_beam_","visuals":[{"ai_label":"","as_of":"2026-10-24","asset":"/analytics/daily/ai/2026-10-24/anx_dv20261024_2.mapstory.svg","caption":"European finance and government projects building proprietary and sovereign intelligence on open models highlighted at GTC Berlin.","detail":"Open Models Move Into Regulated Finance and Government Across Europe — GTC Berlin Oct 21-22. European finance and government projects building proprietary and sovereign intelligence on open models highlighted at GTC Berlin. 2026-10-21: At GTC Berlin, CEO Jensen Huang framed open models as sovereign intelligence and expanded open portfolio with new infrastructure and models.. 2026-10-22: Nvidia showcased European financial services building proprietary intelligence on open models, including Revolut, Starling, Lloyds, bunq, NatWest, Modulr and Santander.. 2026-10-22: Nvidia showcased European public-sector projects on open models across Commission, Poland, UK, Germany, France and Greece..","generator":"native","id":"anx_dv20261024_2","kind":"mapstory","model":"","preview":"/analytics/daily/ai/2026-10-24/anx_dv20261024_2.mapstory.svg","raster":"","reader_question":"Where in Europe are open models moving into regulated finance and government?","schematic":false,"sources":[{"label":"blogs.nvidia.com","url":"https://blogs.nvidia.com/blog/gtc-berlin-2026-keynote/"},{"label":"blogs.nvidia.com","url":"https://blogs.nvidia.com/blog/open-models-europe-industry/"},{"label":"blogs.nvidia.com","url":"https://blogs.nvidia.com/blog/european-financial-services-organizations-open-models-proprietary-intelligence/"},{"label":"blogs.nvidia.com","url":"https://blogs.nvidia.com/blog/european-public-sector-open-models/"}],"spec":"/analytics/daily/ai/2026-10-24/anx_dv20261024_2.mapstory.json","title":"Open Models Move Into Regulated Finance and Government Across Europe — GTC Berlin Oct 21-22"}],"watch_next":["Oct 23 Nvidia Nemotron Bolt E4B 4GB release and reported performance on RTX/Jetson/RTX Spark (4GB fit)","Independent benchmark scores for Muse Spark Open and Beam on coding/agentic and multimodal tasks vs closed leaders when leaderboards resume","Adoption signals: Hugging Face downloads, inference provider usage (Baseten, Fireworks, Groq, Together etc.), and on-device deployment reports for Mac Studio clusters and RTX Spark/DGX Spark"]},{"bottom_line":"Nothing new has appeared in the last three days to change the picture; the last reported moves remain Disney hiring most of Character.AI's staff and pushing the company toward bankruptcy for lawsuit protection. With no researched confirmation or filings in our evidence since Oct 19, the deal's status rests on two single-source reports.","brief_slug":null,"context":[{"source":"https://techcrunch.com/2026/10/18/disney-agrees-to-hire-the-majority-of-character-ais-workforce/","verification":"reported","what":"TechCrunch reported Disney agreed to hire the majority of Character.AI's workforce","when":"2026-10-18","why_relevant":"Establishes the acqui-hire half of the collapse — talent transfer to Disney"},{"source":"https://www.wired.com/story/disney-asked-characterai-to-go-bankrupt-for-a-get-out-of-lawsuits-card/","verification":"reported","what":"WIRED reported Disney asked Character.AI to go bankrupt for a get-out-of-lawsuits card","when":"2026-10-19","why_relevant":"Establishes the bankruptcy-for-protection half — using bankruptcy to shed litigation exposure"}],"developments":[],"edition":1,"escalation":{"direction":"steady","pace":"flat"},"headline":"No new filings reported in Disney-Character.AI bankruptcy-for-hire deal since Oct. 19.","key_figures":[],"map":null,"name":"Character.AI bankruptcy and Disney acqui-hire","numbers":{"actors":[],"as_of":"2026-10-24","trackers":[]},"on_record":[],"outlook":"Almost certain to remain quiet until a bankruptcy filing, court docket, or formal Disney hiring announcement appears. If the reported structure holds, next movement is likely a Chapter 11 filing and detailed employment terms, but without researched confirmation the timing is unclear.","pulses":[],"saga":"AI is an AI lab known for customizable chatbots. Disney is pursuing an acqui-hire that would move most of its workforce to Disney while the remaining company enters bankruptcy, a step described as seeking protection from lawsuits. AI as an independent lab and transfer its talent.","since_yesterday":[],"temperature":{"coverage":"steady coverage","heat":0.17,"prior_share":0.0037,"recent_share":0,"trend":"steady"},"theater_id":"thr_character_ai_bankruptcy_and_disney_acqui_hire","watch_next":["Any bankruptcy petition or court filing by Character.AI","Formal Disney statement on hiring numbers, roles, or closing conditions","Disclosure of lawsuits to be stayed or discharged and creditor objections"]}],"url":"/ai/2026-10-24","visuals_run":{"none_because":"","planned":3,"produced":1,"skipped":["thr_scraping_licensing_and_liability_for_ai_training/timeline: numbers not in the cited facts (250000, 40)","harness not ready: canary produced no chart (run failed: grok: grok CLI not found on PATH\ncodex: \ncom/explore/pro), visit https://chatgpt.com/codex/settings/)"],"trimmed":["thr_open_weights_race_muse_spark_open_nemotron_beam_/mapstory: step 2: point 'revolut-pragma' dropped: place ['London'] is not one its facts speak of","thr_open_weights_race_muse_spark_open_nemotron_beam_/mapstory: step 2: point 'starling-intelligence' dropped: place ['London'] is not one its facts speak of","thr_open_weights_race_muse_spark_open_nemotron_beam_/mapstory: step 2: point 'lloyds-atum' dropped: place ['London'] is not one its facts speak of","thr_open_weights_race_muse_spark_open_nemotron_beam_/mapstory: step 2: point 'bunq-kumo' dropped: place ['Amsterdam'] is not one its facts speak of","thr_open_weights_race_muse_spark_open_nemotron_beam_/mapstory: step 2: point 'santander-kumo' dropped: place ['Madrid'] is not one its facts speak of","thr_open_weights_race_muse_spark_open_nemotron_beam_/mapstory: step 2: point 'natwest-kumo' dropped: place ['Edinburgh'] is not one its facts speak of"]},"watch":[{"last_novel":"2026-10-23","name":"Gemini 4 Argon frontier push and challengers","new_items":0,"note":"No new developments since 2026-10-23.","reason":"nothing_new","since":"2026-10-23","theater_id":"thr_gemini_4_argon_frontier_push_and_challengers"},{"last_novel":"2026-10-23","name":"AI agents: labor disruption, rogue behavior, and pushback","new_items":0,"note":"No new developments since 2026-10-23.","reason":"nothing_new","since":"2026-10-23","theater_id":"thr_ai_agents_labor_disruption_rogue_behavior_and_pu"},{"last_novel":"2026-10-23","name":"AI safety governance, evaluation and catastrophic-risk regulation","new_items":0,"note":"No new developments since 2026-10-23.","reason":"nothing_new","since":"2026-10-23","theater_id":"thr_ai_safety_governance_evaluation_and_catastrophic"},{"last_novel":"2026-10-23","name":"RTX Spark edge rollout and sovereign AI infrastructure push","new_items":0,"note":"No new developments since 2026-10-23.","reason":"nothing_new","since":"2026-10-23","theater_id":"thr_rtx_spark_edge_rollout_and_sovereign_ai_infrastr"},{"last_novel":"2026-10-22","name":"AI-enabled hacking and agentic cyber offense","new_items":0,"note":"No new developments since 2026-10-23.","reason":"nothing_new","since":"2026-10-23","theater_id":"thr_ai_enabled_hacking_and_agentic_cyber_offense"}],"cite_as":"https://ohmega.monster/ai/2026-10-24","api_url":"https://ohmega.monster/api/v1/daily/ai/2026-10-24"},"meta":{"as_of":"2026-10-24T09:32:25.829082+00:00","source":"ohmega.daily/1","version":"v1","cite_as":"https://ohmega.monster/ai/2026-10-24","license":"Ohmega claims, summaries, grades, Pulses and forecasts may be quoted with a link to cite_as. Source texts belong to their publishers; follow the source URLs. No warranty: readings are our assessment as of as_of, not guarantees.","note":"Each development carries verification: 'researched' (our research established it) or 'reported' (another outlet reported it; a lead, not a finding)."}}