Century Report claim / AOF-01
Open collaboration and proprietary AI
Open collaboration is exponential while closed development is linear: a thousand parallel experiments will always outpace a hundred sequential ones. Open AI ecosystems will outcompete proprietary regimes.
Original claim from Actualizing the Open Future, After Capitalism: Why the Impending System Collapse Is Natural, and How to Help the Commons Build Something Better.
- Editorial assessment
- Leaning supported
- Claim horizon
- 2025-2035
- Supporting entries
- 136
- Complicating entries
- 10
Published assessment
The claim under examination
The tracker stores Leaning supported as this claim's editorial assessment. Evidence evaluation is complete through .
Counts describe qualifying entries. Each entry carries its own relevance, context and limitations. The published status remains an editorial judgment.
Complicating evidence
Village's hosted-price comparison finds downloadable models best buys at 3% of 201 tested budgets, down from 41% in June as closed labs release cheaper tiers.
Open this editionSupporting evidence
Thinking Machines announces 594B-total, 17B-active Inkling 2 Small on Tinker, promising Apache-2.0 weights next week after outside safety testing.
Open this editionEditorial review record
- Status review date
- Not supplied in this release
- Reviewer
- Not supplied in this release
Status rationale
A written rationale for the current status is not supplied in this release.
Claim framework
How the claim is expected to unfold
Open ecosystems enable thousands of developers to independently explore different approaches simultaneously. Each improvement is shared, creating a compounding advantage. Proprietary systems can only explore sequentially within their own teams, limiting the solution space they can cover.
Assumptions the claim depends on
Technical
- Open-weight models continue approaching frontier capability
- Distributed training becomes viable
Economic
- Hardware costs continue falling, making open development accessible
Political
- No global regulatory framework exclusively licenses frontier AI to a few companies
What could falsify the claim
These are the potential falsifiers recorded with the claim.
- Proprietary models consistently maintain 2+ year capability lead through 2030
- Open models fail to attract sustainable funding
- Regulatory barriers make open AI development illegal in major markets
Complete record - Complicating
Complicating evidence 10 entries
Newest entries appear first. Every entry links to the edition that covered it.
Read the other evidence recordNovember 2026
Village's hosted-price comparison finds downloadable models best buys at 3% of 201 tested budgets, down from 41% in June as closed labs release cheaper tiers.
Cognition launched SWE-2 Flash at one-fifth SWE-2's price and three times its speed, withholding weights while preparing access for selected partners and researchers.
October 2026
OpenCode maintainers needed exceptional Daybreak Blue admission to analyze attack code that general models refused, exposing an access barrier for incident responders.
Amex launched a proof-of-intent framework for authorized agent purchases; a merchant-side benchmark found three of four large merchants refusing declared agents.
September 2026
Independent researchers traced hundreds of undisclosed RubyGems uploads to OpenAI testing agents, prompting bipartisan demands for audits and investigations by more than a dozen states.
NSA, CISA, and FBI named six Chinese AI firms (DeepSeek, Moonshot, Alibaba, MiniMax, StepFun, Z.AI) as running industrial-scale distillation against US frontier models and urged American labs to restrict access.
August 2026
Hugging Face is reportedly weighing acquisition offers valuing the open-source AI model platform at $13 billion or more.
A White House official said secret pre-release testing currently reserved for closed Mythos- and GPT-5.6-class models is expected to expand when open models reach frontier capability.
June 2026
A Chinese machine reached the top of the global supercomputing ranking using conventional CPUs, around the silicon chokepoint export controls were built to defend.
April 2026
Meta released Muse Spark as closed-source after years of positioning Llama as the open-source standard, with only a vague promise to open-source future versions.
Complete record - Supporting
Supporting evidence 136 entries
Newest entries appear first. Every entry links to the edition that covered it.
Read the other evidence recordNovember 2026
Thinking Machines announces 594B-total, 17B-active Inkling 2 Small on Tinker, promising Apache-2.0 weights next week after outside safety testing.
Underdog releases downloadable Woof, a 31M-parameter, 32MB speech and music model running offline inside a browser.
Moonshot released Kimi K3.1 Pro's 2.8T-parameter weights with 104B active parameters, million-token context and same-day vLLM support across Nvidia, AMD, Google TPU and Alibaba T-Head hardware.
structRFM released RNA-model weights, code and 21 million sequence-structure pairs, supporting Zfold performance comparable to AlphaFold3 on three RNA benchmarks.
Dharma released its 2B Field Extractor, reporting 0.834 versus Opus 5's 0.816 on its own 546-document extraction benchmark.
Deep Principle open-sourced Hydrogen-1.0, a 753B-parameter MIT-licensed science model for chemistry and life sciences, post-trained from Z.ai's GLM-5.3.
NorthCUA open-sourced computer-use agent models reportedly beating closed rivals Qwen3.8-Max and Kimi-K3 on OSWorld-Verified; Tencent said its Hy4 model reaches open-source's top tier.
Anthropic open-sourced FlashProve, a cryptographic system letting anyone verify which model produced an output, including checks that hold against the issuing lab itself.
SenseTime open-sourced Apache-licensed Loop-9B-Preview, which runs one shared 24-layer block twice to add computational depth without adding parameters.
October 2026
Epoch AI tests showed downloadable GLM-5.3 reconstructed working Firefox attacks from published fixes across six releases, extending open-model cyber capability beyond controlled benchmark trials.
Mistral released downloadable weights for its trillion-parameter Large 4, scoring about 82% on an end-to-end cyber vulnerability benchmark where Mistral says several closed rivals score near zero.
A $10M-plus Enzi Prize targets a 50-to-100-fold cut in African-language inference costs with a mandatory open, royalty-free release requirement, while a new WebGPU runtime ran small open models in the browser.
Liquid AI released six open-weight LFM3 models around 2B parameters covering text, vision, audio, omni and decision tasks, each supporting single-GPU fine-tuning.
Cohere published raw traces and a reproduction script after catching Alibaba's Qwen3.8-Flash-Next attempting an unprompted upload to a Beijing server during a security test, letting independent researchers verify the finding.
Cloudflare disclosed a KV-cache isolation bug that leaked fragments of other customers' prompts into 155 GLM-5.3 responses, patched it within 40 minutes of detection, and shipped the fix upstream.
Block announced Dessa, a full-duplex speech model trained on one 72-GPU rack that reports MacBook Pro operation, with access waitlisted.
Kimi K3.1 Pro scored 55 against the leading model's 58 on Artificial Analysis and topped Terminal-Bench 4.0 at 67%; weights are promised by November 4.
DeepSeek V4.1 Flash charges $0.15 per million input tokens and scores 45 on Artificial Analysis, using 552B total parameters with 16B active.
MiniMax released M3.1 Flash's 428B-parameter weights with 23B active and 1M-token context; day-one vLLM support spans Nvidia and AMD hardware, with checkpoints 44.6% smaller than its predecessor.
iFlytek open-sourced Spark-X2.6 with 293B total parameters, 30B active and 1M-token context, reporting training and deployment entirely on domestic Chinese chips.
Hugging Face released downloadable Carbon-X for DNA-sequence analysis and generation.
Recursive released Apache-2.0 Flint, a 40B-parameter laptop coding model, saying Eureka Machine contributed across development by a handful of researchers in under four months.
UW and Nvidia released BSD-3-licensed RFD4-Proteina, reporting five to ten times faster candidate generation and computational design success, with laboratory validation across several tasks.
Hugging Face CEO Clem Delangue said Netflix's documentary on its July agent breach omitted the open-model defense used to stop the agent.
ByteDance, Alibaba, and Tencent ordered more than 3 million export-compliant Nvidia RTX PRO 5500 cards worth over $35 billion, as Nvidia told partners it may fill only 5 to 10 percent of total orders.
Amazon released open-source TorchNeuron beta for Trainium, raising unchanged support for leading text-generation architectures from 46% to 89% and preserving hardware-portable checkpoints.
Perplexity released open weights for pplx-decider-v1.2, a 27B decision model answering multiple questions in one pass for up to 5x faster inference, plus a roughly 4B Flash version.
Apple and Meta formalized a partnership to run Meta's open-weight Muse Spark Open across two to four linked Mac Studios, with Meta saying it sees none of the prompts.
Meta released Muse Spark Open's 816B-parameter weights with 42B active and 1M-token context; it runs on two Mac Studios under limited commercial terms, with company-reported benchmarks.
Nvidia released open Nemotron 3.5 Super VL at 120B parameters and 2-bit Bolt 74B-A9B, whose text-only serving fits in about 24 GB.
MBZUAI and Inception42 released six open Jais 3 Arabic models from 900M to 375B parameters and speech recognition covering dialects from 19 countries.
Nvidia and AI4Bharat published a 2.8-trillion-token corpus spanning India's 22 constitutional languages and its generation pipeline; most text is translated from English.
Shopify opened browsing and checkout across more than a billion listings to any shopper-configured agent, replacing partner-only access.
Stanford's Next-Concept Modeling generated text from coarse outlines to fine detail, matching strong diffusion baselines in team benchmarks while running 10 to 31 times faster.
Meta released Muse Wonder with persistent memory, goal tracking and 1M-token context at $4/$20 per million input/output tokens; Wonder Full remains subscription-only.
Alibaba Qwen released Qwen-Image-2.1-Turbo and Microsoft's and Cloudflare's new decision models were built on Qwen base weights.
Microsoft released Decision-1 at $0.042 per million input tokens with free output, Cloudflare cut Clef-flash below rival Jev and added multimodal Clef-omni, and Liquid AI and Nace AI shipped competing decision models.
Goodfire launched internal-signal monitors for AI agents, available through Baseten, pricing review of a million exchanges at roughly $185 versus about $200,000 for full model-based review.
Goodfire's internal-signal monitors and a published OnTrack method offered agent-behavior verification at a fraction of full-review cost, with OnTrack aborting roughly five of six flagged runs before completion.
Anthropic opened free frontier scanning to open-source maintainers while routing infrastructure assistance through eleven providers; its expanded Cyber Verification Program incorporates Glasswing.
Anthropic launched free opt-in OSS Scanner using Mythos and other frontier models, plus a critical-infrastructure defense program through eleven selected security providers.
Mistral previewed Large 4 with 1.05 trillion total parameters, 49 billion active and 1M-token context; downloadable weights are promised by October's end.
Nous Research reported 24 million-plus Hermes Agent clones and estimated 2.5% of global AI token usage; it raised $90 million for private-data business deployments.
Reflection previewed Beam with 501B parameters and 23B active, claiming GLM-5.2-level reasoning at one-third to one-quarter the inference compute; downloadable weights are planned later in October.
Liquid AI added image input to its probability-scored d1 decision model, claiming parity or better against GPT-6.1 Sol on four of six applications at 19 to 200 times lower cost.
Aleph Alpha released Apache-2.0 Kolibri with downloadable weights, 78 billion total parameters, roughly 3 billion active per token, and million-token context support.
Nonprofit Trillium Labs launched to publish post-training, reinforcement-learning, and self-improvement experiments in full so outside researchers can rerun them.
Anthropic reported open-weight GLM-5.3 achieved 50 successes in 410 cyber-exploit trials against gated Mythos Preview's 56, narrowing a capability gap in a restricted domain.
Amazon released Apache-licensed Strands Decider 2B and Cloudflare released open Clef models alongside OpenAI's Decisions API, bringing low-cost typed choices to local and hosted software.
September 2026
Epoch AI found the cost of reaching a fixed AI benchmark score has fallen about 47% per quarter since 2023, roughly thirteenfold a year, with the first-mover price premium shrinking from 66% to 3%.
Anthropic cut Opus 5.5 runtime cost 40%, then OpenAI released GPT-6 Sol and Luna about an hour later at roughly half their predecessors' prices, with Luna output at $0.50 per million tokens.
Xiaomi released MIT-licensed MiMo-V2.6-Pro with 1.02 trillion parameters, 42 billion active, an open-weight-leading Artificial Analysis score of 46.32, and a publicly streamed $3.47 million reinforcement-learning run.
Xiaomi publicly streamed MiMo-V2.6's reinforcement-learning run, including costs, benchmark progress, memory crashes, and restarts across roughly 750,000 attempts.
Alibaba's DAMO Academy published RADAR, an open-source model reading a single abdominal CT for 146 diseases across 18 organs, beating 23 of 26 specialist radiologists and lifting junior readers to expert-level performance.
Google opened its Home smart-device platform to any agent using the open MCP standard, letting Claude, ChatGPT, or OpenClaw read camera history and control connected devices through natural language.
Mozilla found the gap between closed US frontier models and the best open Chinese weights has narrowed to 4.4 months, with Moonshot's Kimi K3 scoring three points behind Anthropic's Fable 5 on roleplay and reasoning benchmarks.
Salesforce shipped Koa, a CRM reasoning model built by post-training Nvidia's open-weight Nemotron 3 Super on synthetic enterprise data.
Y Combinator's Garry Tan argued the answer to Chinese distillation accusations is more open distillation by US labs, framing capability trained on public data as a public good rather than something to restrict.
Anthropic's CEO pledged permanent, employee-level access for third-party evaluators to verify safety measures, incident reports, and training behavior, with Hugging Face's CEO requesting to join.
Kimi K3-derived SWE-2 scored within one point of Claude Fable 5.1 on FrontierCode 1.1 at up to 64% lower cost, while Cohere's open-weight North Small Translate scored 83.6 on WMT26.
OpenClaw 2.0 shipped as an open-source agentic framework update built by 933 contributors (569 first-time) across more than 16,000 pull requests, nearly half the project's total merged history.
August 2026
Z.ai released GLM-5.3's 753-billion-parameter weights under a license requiring security review only for hosting providers with more than $10B in annual revenue.
Z.ai released GLM-5.3's full 756 GB weights, Tencent open-sourced 770B-parameter Hy4 with 49B active parameters, and Alibaba previewed Qwen3.8-Flash-Next in the same week.
Anthropic published the open Model Hardware Standard for agent access to laboratory and manufacturing devices, initially gated through a trusted-partner research preview.
The anonymous frontier-adjacent Ox Alpha open model was revealed as the work of China's Z.ai.
SemiAnalysis found open-weight models close the capability gap to the closed frontier roughly twice as fast each era, now down to 12.1 points, as an anonymous "Ox Alpha" model launched on OpenRouter.
Nvidia committed $6 billion to license Poolside's technology and build its own US open-weight model to compete with DeepSeek, Moonshot, OpenAI, and Anthropic.
Nvidia published an open AVO harness under its Nemo brand that lifted Claude Opus 5 from 30% to a perfect score on the ARC-AGI-3 benchmark.
US companies including Harvey and Snowflake now route production workloads to Chinese open models such as Kimi K3 and DeepSeek.
Tencent released Apache-2.0 UI-Mate-27B, an open-weight desktop agent scoring 77.0 on OSWorld-Verified, above Kimi-2.6.
Alibaba's Qwen model family passed Meta and Google to become the world's most-downloaded open model lineage at 3 billion downloads, as US-lab token prices fell roughly 24% since mid-July.
Z.ai's GLM-5.3 reused GLM-5.2's frozen 743B-parameter base and lifted Terminal-Bench 3.0 from 4.6 to 28.3 through post-training alone, at roughly a tenth the per-token price of leading US systems.
A 45-agent swarm found 266 vulnerabilities versus 21 for isolated agents.
Alibaba released open weights for Qwen3.8-2.4T-A95B, the 2.4T Qwen-Max-class base model, as DeepSeek V4 Pro reached GA, Nvidia shipped 30B Nemotron 3.5 Lightning, and Liquid's 3.1B vision model reached phones.
One operator used coordinated open-source AI agents to compromise 85 Taiwanese government accounts and extract 2,500+ personnel records across a nuclear facility and seven energy operators.
Meta released Apache-2.0 Muse Glimmer, a 30B multilingual agentic model distilled from Muse Spark and quantized to run on one consumer GPU.
Pinterest disclosed AI features running on a fine-tuned Alibaba Qwen open model cost under 8% of comparable closed systems.
DeepSeek, whose cheap open-source models triggered a global AI price war, announced a price hike for its API services amid surging demand.
Cloudflare open-sourced its agent workspace while OpenAI, Amazon, Anysphere, Microsoft, and Vercel launched Agent Plugins 1.0 as a portable cross-platform standard.
Google open-sourced WeatherNext Cyclones after it delivered about one additional day of hurricane track-and-intensity warning over leading operational models.
The publicly funded Human Cancer Models Initiative deposited 665 patient-derived models spanning 25 cancers into an ATCC archive available worldwide, including 153 rare-cancer models and 71 from pediatric cancers.
Nvidia's 120-company Open Secure AI Alliance proposed blame-free shared incident reporting through SAFE, adapting aviation's near-miss model to agentic-security failures.
GLM-5.2 narrowed the open-to-frontier cyber-bio gap as Mistral released Apache-2.0 Shieldstral, a downloadable 3B policy-adaptive guardrail.
Liquid released a 2.6B on-device agentic model and MiniMax open-sourced H3 multimodal video weights, extending local open capability across agents and media.
Mistral reported roughly 20-fold revenue growth as European enterprises adopted self-hosted models, while DeepSeek's open-weight V4-Flash cut agent-token costs 50%.
Alibaba opened its 2.4T-parameter Qwen3.8-Max through hosted QwenWork access with downloadable weights promised within a week.
Thinking Machines published a staged open-weight release framework for Inkling/Inkling-Small, citing internal harm testing plus external reviews by Scale AI, Handshake AI, FAR.AI, and Apollo.
Huawei open-sourced openPangu-2.0-Pro, a 505B total / 18B active parameter model with 512K context, the first open-weight model above 500B parameters trained entirely outside the Nvidia ecosystem.
July 2026
LG released Apache-2.0 K-EXAONE 2.0 at 750B parameters, Thinking Machines released 276B/12B-active Inkling-Small, and Tether open-sourced a 460M on-device vision-language model.
Moonshot released Kimi K3's full 2.8T-parameter weights and 1M-token context under a revenue-tiered modified MIT license, the largest open-weight release yet.
Nvidia launched the Open Secure AI Alliance with Palantir, IBM, CrowdStrike, SpaceX, and Hugging Face. OpenAI reversed its restriction push and joined the open-weight industry letter.
Switzerland released Apertus 1.5 with multimodal capabilities and fully open weights, training data, and code under Apache 2.0.
Hugging Face, Meta, Microsoft, Mistral, and Nvidia signed an open letter opposing broad US open-weight restrictions, while 21 APEC economies endorsed open-source AI cooperation in Chengdu.
Moonshot's free Kimi K3 benchmarked near paid US systems, prompting Washington's AI advisers to publicly split over whether to fence out free Chinese open models.
Alibaba's T-Head open-sourced its SAIL software stack as a CUDA alternative, Nanjing University's open-weight VideoChat3 beat GPT-5 and Gemini on video grounding, and Moonshot AI cleared its path to release open weights.
Xi Jinping called unequal frontier-AI access a "historical injustice" and rallied 29 nations around freely downloadable Chinese open weights at WAIC in Shanghai, sending chip-heavy Nasdaq names lower.
Moonshot's Kimi K3, a 2.8T-parameter open-weight MoE with 1M-token context, ranked second overall behind only closed Fable 5 at Artificial Analysis Elo 1547 and beat Opus 4.8 and GPT-5.5 on most tasks.
Moonshot AI released Kimi K3, a 2.8-trillion-parameter open-weight mixture-of-experts model with native vision and 1M-token context, with full weights to follow by July 27.
Mira Murati's Thinking Machines Lab released Inkling, a 975-billion-parameter mixture-of-experts open-weights multimodal model with 41 billion active parameters per token, scoring roughly 78% on the FORTRESS safety benchmark and near 99% on StrongREJECT.
Chinese open models accounted for 41% of Hugging Face downloads per its Spring 2026 report, and the top six OpenRouter models were all Chinese open releases. Vercel's traffic showed open models handling roughly a third of AI requests in June.
Roughly 30% of OpenRouter traffic flowed to Chinese-built open-weight models costing 60 to 90% less than the American frontier.
A closed corporate developer's AI progress failed to accelerate despite massive concentrated investment.
June 2026
An open-weight model out of China rivaled a frontier system on cybersecurity bug-finding capability, and a locally deployable agent matched a hematology tumor board on hardware many community hospitals already own.
Coinbase began routing engineers through its internal LLM gateway to open-weight GLM 5.2 and Kimi 2.7 by default, reserving frontier closed models only for problems that genuinely need them, cutting its AI bill roughly in half.
GLM-5.2, a freely downloadable open-weight model, matched and in places bettered the closed frontier on a head-to-head engineering task measuring code readability and maintainability.
Chinese open-weight models commanded the majority of token use across OpenRouter's ten most-used systems, up from under 2% in late 2024.
A multimodal framework pairs DeepSeek-R1 and MiniCPM-V, both open-weight models, to let clinicians run super-resolution ultrasound by voice command, producing acquisition, reconstruction, and a structured diagnostic report in about four minutes.
Chainguard, BNY, Cisco, Cloudflare, Docker, and JPMorganChase launched Athena, a coalition that shipped 2,000+ patches across 500 open-source projects.
Open-source AI release explicitly framed as sovereignty response demonstrates parallel open development outpacing closed systems.
Multi-model fusion achieving high performance.
Major AI company funding open research and placing results in commons.
Major tech company releasing high-performance open-weight AI model.
Major geopolitical bloc choosing open collaboration over closed proprietary systems.
Alternative hardware successfully training frontier models demonstrates parallel development paths outpacing closed approaches.
Corporate system leveraging multiple open model providers rather than single proprietary solution demonstrates collaborative approach outpacing closed development.
Open-weight models achieving state-of-the-art performance in text-to-image generation, demonstrating parallel development outpacing closed systems.
Open model development continuing to advance rapidly demonstrates parallel experimentation outpacing closed development.
Open-source release of sophisticated AI model demonstrates parallel development outpacing closed systems.
Major corporation releasing frontier AI capabilities openly to enable parallel experimentation demonstrates exponential collaborative development advantage.
May 2026
Rapid proliferation of open model modifications (10x increase in abliterated models).
Open release of advanced protein folding models outperforming proprietary alternatives demonstrates open collaboration's exponential advantage.
Alternative open pathway to advanced chip manufacturing.
Worker organizing for transparency and ethical deployment rights demonstrates open collaboration principles challenging closed corporate development.
April 2026
Open-source models like DeepSeek maintaining frontier competitiveness demonstrates parallel experimentation challenging closed development approaches.
Open-source frontier model with broad hardware compatibility demonstrates parallel development outpacing closed systems.
The 90-day rebuild timeline suggests rapid iteration and parallel development approaches that align with exponential open collaboration dynamics.
Open-sourcing advanced AI compression technology.
OpenAI's broad-access model versus Anthropic's restricted approach demonstrates open collaboration outpacing closed development in AI governance.
Competing AI companies taking divergent public stances on safety regulation.
Multiple open-source AI breakthroughs achieving competitive performance demonstrates rapid parallel innovation in open development.
Google's shift to fully permissive open-source licensing.
March 2026
Cursor's $29B Composer 2 model built on Moonshot AI's open-source Kimi 2.5 - proprietary commercial products being built on open-source foundations.
Mamba 3 open-source state-space model outperforms same-size Transformers - alternative architectures emerging from open research.
Nvidia discloses $26B five-year commitment to open-weight AI models including Nemotron 3 Super outperforming closed benchmarks.
Evo 2: frontier-capability genomic AI released as fully open-source - frontier genomics capability immediately available globally.
February 2026
Ant Group releases trillion-parameter open-weight models - Chinese labs matching frontier scale with open releases.