Chinese AI strategy will stay open source / open weights
Predictor: Eric Schmidt · ep#241 "Eric Schmidt on the Robotics Race, Singularity Timeline, and Energy Shortage" · source
Prediction text
Chinese AI strategy will stay open source / open weights | China's approach, which has produced DCV4, Quinn, Kimmy 2, Kimmy version 3, etc. and more coming, is it's all open source open weights
Verbatim quote
China's approach, which has produced DCV4, Quinn, Kimmy 2, Kimmy version 3, etc. and more coming, is it's all open source open weights
Predictor: Eric Schmidt
Calibration plot (stated vs observed)
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Reference class
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Probability over time
Milestone chain
- 2026-02-12hitQwen image gen model released open-source for IOCHow: Alibaba publicly releases Qwen-Image 2.0 or peer model under open-source license with Olympic deploymentSource: https://www.technologyreview.com/2026/02/12/1132811/whats-next-for-chinese-open-source-ai/conf 95%Notes: HIT — Qwen-Image 2.0 powers IOC tools for 2026 Milan Olympics, validating sustained Chinese open-source strategy.
- 2026-04-15hitKimi K2.5 released open-source and surpasses Claude Opus by token usageHow: Moonshot AI releases Kimi 2.5+ with open weights and reaches top-3 in OpenRouter or comparable usage rankingsSource: https://benchlm.ai/best/chinese-modelsconf 95%Notes: HIT — Kimi K2.5 surpassed Claude Opus by token count, most-used AI model.
- 2026-04-24hitDeepSeek V4 released as open-source weightsHow: DeepSeek publicly releases V4 model with open weights, continuing R1/V3 open-source patternSource: https://www.cnbc.com/2026/04/24/deepseek-v4-llm-preview-open-source-ai-competition-china.htmlconf 99%Notes: HIT — DeepSeek V4 released open-source April 24 2026, validating Schmidt's claim about Chinese open-weight strategy.
- 2026-06-01 → 2026-12-31pendingChinese open-weight downloads exceed 1B cumulativeHow: Hugging Face or comparable tracker shows Qwen+DeepSeek+Kimi cumulative downloads exceed 1BSource: https://www.understandingai.org/p/the-best-chinese-open-weight-modelsconf 85%Notes: Qwen alone exceeded 600M downloads by Sep 2024; trajectory points to 1B+ for combined Chinese open-weights.
- 2027-01-01 → 2028-12-31pendingChinese model market share in commercial deployments exceeds 30%How: OpenRouter, Together.ai or peer infra layer reports ≥30% of inference traffic on Chinese open-weight models globallySource: https://www.cfr.org/articles/deepseek-v4-signals-a-new-phase-in-the-u-s-china-ai-rivalryconf 40%
What if this resolves?
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Evidence chain
Network propagation neighbors
Top incoming (parents)
Edges that influence THIS node's belief
| Kind | Node | Their prob | P(c|s=T) | P(c|s=F) | Δ implied |
|---|---|---|---|---|---|
| prereq | 234_012 Anthropic revenue will cross OpenAI revenue in middle of 202 — Peter Diamandis | 67.1% | 0.600 | 0.050 | -0.079 |
| killer | TK03 AI Regulatory Moratorium (EU/US Capability Freeze) | 10.0% | 0.050 | 0.600 | +0.050 |
| prereq | SEM_042 2025 will be the definitive year that agentic systems finall — Kevin Weil | 73.8% | 0.600 | 0.050 | -0.044 |
| prereq | SEM_012 Nvidia quadrupled chip production output while only doubling — Jensen Huang | 75.0% | 0.600 | 0.050 | -0.036 |
| prereq | SEM_008 Training runs costing $10 billion for a single model will co — Dario Amodei | 76.9% | 0.600 | 0.050 | -0.026 |
Top outgoing (children)
Predictions THIS node influences
| Kind | Node | Their prob | P(c|s=T) | P(c|s=F) | Δ implied |
|---|---|---|---|---|---|
| prereq | 231_013 Math is cooked (will be solved), physics cooked, biology cha — Alex Wissner-Gross | 35.4% | 0.620 | 0.050 | -0.027 |
| prereq | CMQ_002 By 2028, AI systems will reach 'independent researcher' leve — Sam Altman | 31.4% | 0.550 | 0.050 | -0.021 |
| prereq | 241_043 ASI will arrive within 2 years to 5 years to this next decad — Peter Diamandis | 35.9% | 0.650 | 0.050 | -0.017 |
| prereq | 232_055 We're exiting the industrial age permanently as recursive se — Peter Diamandis | 35.5% | 0.700 | 0.050 | +0.011 |
| prereq | 235_030 Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 203 — Ray Kurzweil | 39.2% | 0.750 | 0.050 | -0.002 |
Ticker exposure
Beneficiaries (23)
Adverse (6)
Prerequisites (12)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| prereq | 234_012 | Anthropic revenue will cross OpenAI revenue in middle of 2026 | Markets/Stocks | — |
| prereq | 238_009 | Recursive self-improvement is already happening now (no longer three years out) | AI | — |
| prereq | SEM_008 | Training runs costing $10 billion for a single model will commence sometime in 2025. | AI | — |
| prereq | SEM_042 | 2025 will be the definitive year that agentic systems finally hit the mainstream. | AI/Agents | — |
| prereq | SEM_012 | Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) across engineering. | AI/Manufacturing | — |
| correlate | S_AGI_MID_2029 | AGI mid: Kurzweil 2029 path | agi_general_capability | — |
| correlate | S_AGI_FAST_2027 | AGI fast: drop-in remote worker by 2027-09 | agi_general_capability | — |
| correlate | S_AGI_SLOW_2031 | AGI slow: Schmidt/Hassabis 5-10 year path | agi_general_capability | — |
| correlate | S_AGI_WINTER_2036PLUS | AGI delayed: capability plateau or AI winter | agi_general_capability | — |
| killer | TK14 | Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates) | — | — |
| killer | TK01 | AGI Capability Plateau (2026-27 Training Stall) | — | — |
| killer | TK03 | AI Regulatory Moratorium (EU/US Capability Freeze) | — | — |
Dependents (5)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| prereq | 235_030 | Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 2033. | Biotech/Longevity | — |
| prereq | 232_055 | We're exiting the industrial age permanently as recursive self-improvement unfolds. | AI | — |
| prereq | 241_043 | ASI will arrive within 2 years to 5 years to this next decade | AI | — |
| prereq | 231_013 | Math is cooked (will be solved), physics cooked, biology char broiled. | AI | — |
| prereq | CMQ_002 | By 2028, AI systems will reach 'independent researcher' level — driving autonomous scientific discoveries without human intervention. | AI | — |
Linked documents (10)
| Sim | Source | Title | Market prob | Polarity | Reviewed | Published |
|---|---|---|---|---|---|---|
| 0.701 | manifold | Will OpenAI publicly share software it developed to make its AI run on chips from different providers, in 2026? | 26% | mentions | pending | 2026-06-01 |
| 0.673 | manifold | Will OpenAI broadly release a dedicated Cyber model to Trusted Access users by Sep 30, 2026? | 68% | mentions | pending | 2026-05-14 |
| 0.664 | github_release | facebookresearch/neuroai v0.2.2 | — | mentions | pending | 2026-05-26 |
| 0.652 | manifold | Will a US open-weights LLM outrank every Chinese open-weights LLM on LMArena at the end of 2027? | 32% | mentions | pending | 2026-05-31 |
| 0.650 | github_release | openai/openai-python v2.21.0 | — | mentions | pending | 2026-02-14 |
| 0.648 | github_release | openai/openai-python v2.29.0 | — | mentions | pending | 2026-03-17 |
| 0.648 | github_release | openai/openai-python v2.14.0 | — | mentions | pending | 2025-12-19 |
| 0.647 | github_release | google-deepmind/alphafold v2.3.2 | — | mentions | pending | 2023-04-05 |
| 0.645 | github_release | openai/openai-python v2.7.2 | — | mentions | pending | 2025-11-10 |
| 0.642 | github_release | openai/openai-python v2.20.0 | — | mentions | pending | 2026-02-10 |
Raw metadata
{
"nia": false,
"url": "https://www.youtube.com/watch?v=DpwmmXmzvfo",
"mode": "THESIS",
"role": "Guest-CEO",
"context": "it's all open source open weights... and more coming",
"to_year": 2026,
"verbatim": "China's approach, which has produced DCV4, Quinn, Kimmy 2, Kimmy version 3, etc. and more coming, is it's all open source open weights",
"conv_cues": "and more coming",
"direction": "HAPPEN",
"from_year": 2026,
"timeframe": "ongoing",
"conv_level": "HIGH",
"milestones": [
{
"kind": "llm_pre_event",
"label": "Qwen image gen model released open-source for IOC",
"notes": "HIT — Qwen-Image 2.0 powers IOC tools for 2026 Milan Olympics, validating sustained Chinese open-source strategy.",
"source": "https://www.technologyreview.com/2026/02/12/1132811/whats-next-for-chinese-open-source-ai/",
"status": "hit",
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"expected_date": "2026-02-12",
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},
{
"kind": "llm_pre_event",
"label": "Kimi K2.5 released open-source and surpasses Claude Opus by token usage",
"notes": "HIT — Kimi K2.5 surpassed Claude Opus by token count, most-used AI model.",
"source": "https://benchlm.ai/best/chinese-models",
"status": "hit",
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},
{
"kind": "llm_pre_event",
"label": "DeepSeek V4 released as open-source weights",
"notes": "HIT — DeepSeek V4 released open-source April 24 2026, validating Schmidt's claim about Chinese open-weight strategy.",
"source": "https://www.cnbc.com/2026/04/24/deepseek-v4-llm-preview-open-source-ai-competition-china.html",
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},
{
"kind": "prereq",
"label": "Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) a",
"status": "hit",
"weight": 0.5,
"ordinal": -5,
"source_id": "SEM_012",
"expected_date": "2026-04-29",
"observed_date": "2026-04-29"
},
{
"kind": "prereq",
"label": "Training runs costing $10 billion for a single model will commence sometime in 2025.",
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"ordinal": -4,
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{
"kind": "prereq",
"label": "Anthropic revenue will cross OpenAI revenue in middle of 2026",
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},
{
"kind": "prereq",
"label": "2025 wil
... (truncated)