Validations Queue

103,951 candidate doc → node links pending adjudication. Each was auto-generated by cosine similarity ≥ 0.55 between document and prediction embeddings (bge-base-en-v1.5, 768-dim). Showing page 374 of 963, 100 rows by similarity. Adjudicating updates doc_node_links.reviewed=true with the chosen polarity, writes per-link rows to audit_log, and removes the row from this queue. Phase 4 inference will use confirmed corroborates/contradicts links as Bayesian evidence.

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Confirm or label (corroborates / contradicts) all unreviewed links above a similarity threshold in one transaction. Each affected row writes a per-link audit_log entry. Capped at 1,000 links per call. Use Preview first.

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SimDocSourcePredDomainPrior
0.63polymarket
2026-06-14
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
0.63github_release
2026-06-12
CMQ_047
Autonomous code agents and AutoResearch systems will close the loop on complex scientific experimentation without human-in-the-loop.
Andrej Karpathy
AI51%
0.63polymarket
2026-04-06
246_022
Claude Mythos will NOT be released publicly near-term (PolyMarket ~7%).
PolyMarket
AI37%
0.63polymarket
2025-11-12
236_011
Independent/third party presidential run possible in 2028 election
Andrew Yang
Geopolitics46%
0.63polymarket
2026-06-17
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
0.63polymarket
2026-04-27
AI_021
The 2026-2027 window is the 'Great Disemboweling' of white-collar employment — millions of mid-career professionals (junior software developers, legal analysts, corporate marketers) lose jobs within a 12-18 month timeframe; resulting unemployment casca...
Andrew Yang
Labor/Jobs46%
0.63polymarket
2026-06-16
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
0.63polymarket
2026-05-21
FUT_024
XPT 2022 tournament assigned mere 2.3% probability to AI achieving gold-medal performance in International Mathematical Olympiad by 2025 — actual achievement empirically reached forcing systemic re-evaluation within forecasting community. Historical tr...
Superforecaster Community
AI100%
0.63manifold
2026-06-22
SPC_009
Formal 5-to-7-year delay announced February 2026 for SpaceX's foundational Mars missions — framed as 'sequencing decision' not abandonment. Executing NASA Artemis lunar contracts generates near-term revenue to finance Starship R&D. Shotwell's prior Mar...
Gwynne Shotwell
Space39%
0.63manifold
2026-06-22
248_022
Deepseek-style hyperdeflation moments from algorithmic innovation will become more frequent but less effective at causing price swings.
Alex Wissner-Gross
Markets/Stocks42%
0.63polymarket
2025-11-12
235_006
By end of 2026 AI will enable creating any virus or nuclear weapon via AI agent.
Dave Blundin
AI50%
0.63polymarket
2025-11-12
FUT_009
Wars 2026-2031 pivot decisively from ideological struggles to brutal localized conflicts over critical physical inputs — specifically energy, copper, and agricultural fertilizers. Global geopolitical map fractures into highly regionalized spheres of in...
Peter Zeihan
Geopolitics42%
0.63polymarket
2025-11-12
S_AGI_WINTER_2036PLUS
AGI delayed: capability plateau or AI winter
agi_general_capability10%
0.63polymarket
2026-06-17
S_IPO_TRILLION_2026
First $1T+ IPO in 2026
ipo_trillion_plus25%
0.63polymarket
2026-06-17
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
0.63polymarket
2026-06-01
S_IPO_TRILLION_2026
First $1T+ IPO in 2026
ipo_trillion_plus25%
0.63manifold
2026-06-23
244_018
In 10 years you won't have to drive and will have plenty of choices
Dara Khosrowshahi
Auto/Transport50%
0.63arxiv
2026-06-22
248_048
AI models will move to a post-binary (sub-one-bit) numerical precision paradigm.
Alex Wissner-Gross
AI34%
0.63arxiv
2026-06-22
CMQ_063
Quantum compute integration with AI optimization algorithms and material-science discovery could drastically accelerate algorithmic efficiencies for Intelligence Explosion — potentially pulling superintelligence timelines closer.
Alex Wissner-Gross
Quantum/AI15%
0.63arxiv
2026-06-22
CMQ_063
Quantum compute integration with AI optimization algorithms and material-science discovery could drastically accelerate algorithmic efficiencies for Intelligence Explosion — potentially pulling superintelligence timelines closer.
Alex Wissner-Gross
Quantum/AI15%
0.63arxiv
2026-06-22
FUT_003
Superforecaster consensus assigns 0.38% probability to AI-driven human extinction by 2100 vs domain-expert consensus of 3% — ~8x discrepancy per XPT 2022 adversarial collaboration tournament (89 superforecasters + 80 domain experts). Superforecasters m...
Superforecaster Community
AI100%
0.63arxiv
2026-06-22
CYB_006
When AI agents possess the ability to read, write, and restructure their own long-term memory banks dynamically — agentically using tools to explore search spaces, understand context, recognize what's missing, and follow algorithmic curiosity — they cr...
Kevin Weil
AI63%
0.63arxiv
2026-06-22
246_028
Broad civilizational cyber attack via AI hash function inversion is borderline guaranteed.
Alex Wissner-Gross
AI42%
0.63arxiv
2026-06-22
ROB_027
The 'Paperclip Maximizer' thought experiment — unaligned superintelligence consuming all planetary resources to execute a single mundane task — is being revived as a practical engineering concern as AI transitions from digital to physical domains. The ...
Nick Bostrom
AI40%
0.63arxiv
2026-06-22
CMQ_056
Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency.
Dario Amodei
AI/Compute19%
0.63arxiv
2026-06-21
TK01
AGI Capability Plateau (2026-27 Training Stall)
15%
0.63arxiv
2026-06-21
233_021
AI learning will improve via closed-loop reinforcement learning cycle making results keep increasing.
Joe Liemandt
AI39%
0.63arxiv
2026-06-21
AI_010
The 2026 development landscape has entered the 'Slopacolypse' — AI writes the vast majority of new code, developer manual-coding skills atrophy, and engineering transitions from syntax-writing to high-level architectural prompting and 'vibe coding'.
Andrej Karpathy
AI90%
0.63arxiv
2026-06-22
INF_035
Advanced U.S. manufacturing capacity for 3D-printed liquid-cooling plates will scale rapidly — Fabric8Labs secured $50M (NEA + Intel Capital) specifically to address the AI-DC thermal bottleneck with electrochemically-deposited intricate cold-plate geo...
Fabric8Labs (NEA / Intel Capital funded)
Semis65%
0.63arxiv
2026-06-22
INF_028
AI will render approximately 99% of white-collar jobs replaceable within two years — cognitive-labor costs will mathematically approach the marginal cost of electricity required to generate inference.
Dave Blundin
Labor/Jobs14%
0.63arxiv
2026-06-22
247_050
Virtual cell achievable through classical scaling without quantum computing
Alex Wissner-Gross
Biotech/Longevity44%
0.63arxiv
2026-06-22
CMQ_056
Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency.
Dario Amodei
AI/Compute19%
0.63arxiv
2026-06-22
INF_036
AI will develop a 'kinetic' edge where capital assets (drones, autonomous vehicles, agricultural robots, counter-intrusion systems) become software endpoints — requiring a bifurcated networking architecture: massive sovereign hyperscale DCs for trainin...
Dara Khosrowshahi
AI61%
0.63arxiv
2026-06-21
238_037
Network effects, economics, and game theory will persist in AI agent economy (no singleton takeover)
Alex Wissner-Gross
AI42%
0.63arxiv
2026-06-21
247_050
Virtual cell achievable through classical scaling without quantum computing
Alex Wissner-Gross
Biotech/Longevity44%
0.63arxiv
2026-06-21
CYB_022
Supply-chain attacks targeting widely utilized open-source AI packages — exemplified by documented attacks on the LiteLLM framework — represent extreme systemic risk: a single compromised foundational code repository instantly and autonomously infects ...
Alex Wissner-Gross
AI76%
0.63arxiv
2026-06-21
AUT_002
Models excelling at highly structured mathematical benchmarks exhibit a 'unified capability substrate' enabling dominance in seemingly unrelated fields (coding, logical reasoning, scientific discovery) — the 'mathematical skeleton' of the technological...
Alex Wissner-Gross
AI59%
0.63arxiv
2026-06-22
CMQ_056
Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency.
Dario Amodei
AI/Compute19%
0.63arxiv
2026-06-22
238_070
Small language models will be where most algorithmic breakthroughs come from (crowdsourced)
Alex Wissner-Gross
AI42%
0.63arxiv
2026-06-20
234_048
Next major revolutions in foundation models will come from small language models
Alex Wissner-Gross
AI41%
0.63arxiv
2026-06-22
CMQ_056
Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency.
Dario Amodei
AI/Compute19%
0.63arxiv
2026-06-22
CMQ_056
Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency.
Dario Amodei
AI/Compute19%
0.63arxiv
2026-06-22
IND_013
General intelligence requires systems capable of solving tasks across multidimensional continuous domains — DreamerV3 + world-model research demonstrates scalable algorithms using latent imagination outperform traditional reinforcement learning; future...
Jimmy Ba
AI79%
0.63arxiv
2026-06-22
231_004
The solution wavefront will spread from math/coding to physics, chemistry, and other fields.
Alex Wissner-Gross
AI40%
0.63polymarket
2025-09-29
246_023
Grok 5 release ~20% probability for Q2 2026 per PolyMarket.
PolyMarket
AI43%
0.63arxiv
2026-06-23
CMQ_056
Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency.
Dario Amodei
AI/Compute19%
0.63arxiv
2026-06-23
AUT_017
Defining 2023-2026 shift: maturation of 'Agentic AI' via heavy fine-tuning of pre-trained LLMs using advanced reinforcement learning techniques — single foundational models seamlessly handling diverse complex tasks (market analysis, software engineerin...
Jimmy Ba
AI65%
0.63arxiv
2026-06-23
INF_027
AI infrastructure applied to structural biology will compress drug-development timelines from approximately a decade to weeks — potentially eradicating many major diseases within 10 years. Requires localized high-speed InfiniBand networking inside the DC.
Demis Hassabis
Biotech/Longevity38%
0.63arxiv
2026-06-23
248_023
Ternary (sub-bit) parameter precision will be optimal for AI models.
Dave Blundin
AI50%
0.63arxiv
2026-06-23
CMQ_063
Quantum compute integration with AI optimization algorithms and material-science discovery could drastically accelerate algorithmic efficiencies for Intelligence Explosion — potentially pulling superintelligence timelines closer.
Alex Wissner-Gross
Quantum/AI15%
0.63arxiv
2026-06-23
ROB_027
The 'Paperclip Maximizer' thought experiment — unaligned superintelligence consuming all planetary resources to execute a single mundane task — is being revived as a practical engineering concern as AI transitions from digital to physical domains. The ...
Nick Bostrom
AI40%
0.63arxiv
2026-06-23
AI_025
Most current generative AI wrappers are transient — they will fade into the background as infrastructure layers, analogous to Radio Shack fading in the Windows/PC era; winners will be infrastructure and verticalized depth plays, not thin API-wrapper apps.
Mark Cuban
AI60%
0.63arxiv
2026-06-23
CMQ_043
In complex Agentic AI workloads, CPU-side processing accounts for 50-90% of end-to-end latency — validating CPU-bottleneck shift empirically.
Morgan Stanley / Georgia Tech / Intel
AI/Compute92%
0.63arxiv
2026-06-23
SEM_022
FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development.
Dave Blundin
AI/Architecture65%
0.63arxiv
2026-06-23
ROB_013
Research foundations enabling seamless human-robot interaction in complex 3D physical spaces — algorithms translating human natural-language intent directly into complex robotic actuation eliminate hard-coded robotics engineering, allowing systems to g...
Jimmy Ba
Robotics62%
0.63arxiv
2026-06-23
AUT_010
As models transition from passive advisors to active multi-step task executors across digital networks, potential for catastrophic systemic failure scales exponentially — without rigorous legislative oversight + embedded algorithmic surveillance, auton...
Daniella Amodei
AI56%
0.63arxiv
2026-06-22
CMQ_056
Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency.
Dario Amodei
AI/Compute19%
0.63arxiv
2026-06-22
CMQ_063
Quantum compute integration with AI optimization algorithms and material-science discovery could drastically accelerate algorithmic efficiencies for Intelligence Explosion — potentially pulling superintelligence timelines closer.
Alex Wissner-Gross
Quantum/AI15%
0.63arxiv
2026-06-22
247_050
Virtual cell achievable through classical scaling without quantum computing
Alex Wissner-Gross
Biotech/Longevity44%
0.63arxiv
2026-06-22
AUT_002
Models excelling at highly structured mathematical benchmarks exhibit a 'unified capability substrate' enabling dominance in seemingly unrelated fields (coding, logical reasoning, scientific discovery) — the 'mathematical skeleton' of the technological...
Alex Wissner-Gross
AI59%
0.63arxiv
2026-06-23
SEM_047
At 200,000-GPU scale, orchestration becomes a literal 'battle against entropy' — single cosmic-ray-flipped transistor can derail 100k-GPU training run.
Jimmy Ba
AI/Hardware71%
0.63arxiv
2026-06-23
CMQ_010
True AGI requires genuine scientific-discovery capabilities (AlphaFold-class breakthroughs) — brute-force LLM scaling alone is insufficient.
Demis Hassabis
AI49%
0.63arxiv
2026-06-22
238_013
Frontier labs will increasingly keep their most capable models secret to self-advance
Peter Diamandis
AI46%
0.63arxiv
2026-06-22
CMQ_056
Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency.
Dario Amodei
AI/Compute19%
0.63arxiv
2026-06-22
CMQ_056
Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency.
Dario Amodei
AI/Compute19%
0.63arxiv
2026-06-22
CMQ_063
Quantum compute integration with AI optimization algorithms and material-science discovery could drastically accelerate algorithmic efficiencies for Intelligence Explosion — potentially pulling superintelligence timelines closer.
Alex Wissner-Gross
Quantum/AI15%
0.63arxiv
2026-06-23
AI_029
Blockchain provenance protocols will be increasingly applied to enterprise workflows to detect deepfakes and verify the authenticity of AI model outputs — positioning cryptographic content-authentication as a mandatory enterprise trust layer.
Morgan Stanley
AI57%
0.63arxiv
2026-06-23
229_044
Positive transfer learning will continue to emerge, meaning more diverse data makes Figure robots broadly better at many tasks.
Brett Adcock
AI35%
0.63arxiv
2026-06-23
ROB_013
Research foundations enabling seamless human-robot interaction in complex 3D physical spaces — algorithms translating human natural-language intent directly into complex robotic actuation eliminate hard-coded robotics engineering, allowing systems to g...
Jimmy Ba
Robotics62%
0.63arxiv
2026-06-23
IND_013
General intelligence requires systems capable of solving tasks across multidimensional continuous domains — DreamerV3 + world-model research demonstrates scalable algorithms using latent imagination outperform traditional reinforcement learning; future...
Jimmy Ba
AI79%
0.63arxiv
2026-06-23
S_ROBOTAXI_MASS_2030
Robotaxi >10% urban miles by Nov 2030
robotaxi_deployment30%
0.63arxiv
2026-06-23
CMQ_063
Quantum compute integration with AI optimization algorithms and material-science discovery could drastically accelerate algorithmic efficiencies for Intelligence Explosion — potentially pulling superintelligence timelines closer.
Alex Wissner-Gross
Quantum/AI15%
0.63arxiv
2026-06-23
AUT_020
AI-driven adaptive learning platforms operating with near-total autonomy — human teachers transition from content deliverers to motivational 'guides' while AI handles entirety of core academic instruction. Short highly-focused 'Pomodoro' sessions manag...
MacKenzie Price
Education49%
0.63arxiv
2026-06-22
IND_013
General intelligence requires systems capable of solving tasks across multidimensional continuous domains — DreamerV3 + world-model research demonstrates scalable algorithms using latent imagination outperform traditional reinforcement learning; future...
Jimmy Ba
AI79%
0.63
FDA ANDA040203: OXYCODONE AND ACETAMINOPHEN (ACETAMINOPHEN) — ACTAVIS ELIZABETH
fda
2026-06-18
COD_BIO_001
FDA finalizes or materially advances AI-for-drug-submission guidance by end 2026
Codex Research Pack
Biotech/Longevity47%
0.63polymarket
2026-06-19
CMQ_060
Bitcoin will reach $21 million per coin by 2046 — driven by unprecedented political, regulatory, and policy shifts in the US.
Michael Saylor
Crypto20%
0.63polymarket
2026-06-24
231_051
Entire generation growing up with crypto (Ethereum, Bitcoin) as means of exchange will have near-zero switching cost.
Salim Ismail
Crypto48%
0.63manifold
2026-06-25
248_022
Deepseek-style hyperdeflation moments from algorithmic innovation will become more frequent but less effective at causing price swings.
Alex Wissner-Gross
Markets/Stocks42%
0.63arxiv
2026-06-24
FUT_003
Superforecaster consensus assigns 0.38% probability to AI-driven human extinction by 2100 vs domain-expert consensus of 3% — ~8x discrepancy per XPT 2022 adversarial collaboration tournament (89 superforecasters + 80 domain experts). Superforecasters m...
Superforecaster Community
AI100%
0.63arxiv
2026-06-24
AUT_017
Defining 2023-2026 shift: maturation of 'Agentic AI' via heavy fine-tuning of pre-trained LLMs using advanced reinforcement learning techniques — single foundational models seamlessly handling diverse complex tasks (market analysis, software engineerin...
Jimmy Ba
AI65%
0.63arxiv
2026-06-24
CMQ_063
Quantum compute integration with AI optimization algorithms and material-science discovery could drastically accelerate algorithmic efficiencies for Intelligence Explosion — potentially pulling superintelligence timelines closer.
Alex Wissner-Gross
Quantum/AI15%
0.63arxiv
2026-06-24
FUT_003
Superforecaster consensus assigns 0.38% probability to AI-driven human extinction by 2100 vs domain-expert consensus of 3% — ~8x discrepancy per XPT 2022 adversarial collaboration tournament (89 superforecasters + 80 domain experts). Superforecasters m...
Superforecaster Community
AI100%
0.63arxiv
2026-06-24
CMQ_056
Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency.
Dario Amodei
AI/Compute19%
0.63arxiv
2026-06-24
AI_036
Reinforcement Learning from Human Feedback (RLHF) will fail catastrophically when applied to superintelligence — because humans will be inherently incapable of evaluating the incomprehensible logic and actions of an ASI; therefore, aligning superintell...
Leopold Aschenbrenner
AI49%
0.63arxiv
2026-06-24
ROB_027
The 'Paperclip Maximizer' thought experiment — unaligned superintelligence consuming all planetary resources to execute a single mundane task — is being revived as a practical engineering concern as AI transitions from digital to physical domains. The ...
Nick Bostrom
AI40%
0.63arxiv
2026-06-24
SEM_022
FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development.
Dave Blundin
AI/Architecture65%
0.63arxiv
2026-06-24
248_023
Ternary (sub-bit) parameter precision will be optimal for AI models.
Dave Blundin
AI50%
0.63arxiv
2026-06-23
AUT_010
As models transition from passive advisors to active multi-step task executors across digital networks, potential for catastrophic systemic failure scales exponentially — without rigorous legislative oversight + embedded algorithmic surveillance, auton...
Daniella Amodei
AI56%
0.63arxiv
2026-06-23
AUT_020
AI-driven adaptive learning platforms operating with near-total autonomy — human teachers transition from content deliverers to motivational 'guides' while AI handles entirety of core academic instruction. Short highly-focused 'Pomodoro' sessions manag...
MacKenzie Price
Education49%
0.63arxiv
2026-06-23
S_HUMANOID_CONSUMER_2030
Humanoid R3: 1M+ consumer by Nov 2030
humanoid_deployment20%
0.63arxiv
2026-06-23
229_044
Positive transfer learning will continue to emerge, meaning more diverse data makes Figure robots broadly better at many tasks.
Brett Adcock
AI35%
0.63arxiv
2026-06-23
235_037
Auto-regressive transformers and diffusion models will consolidate into one unified architecture.
Alex Wissner-Gross
AI35%
0.63arxiv
2026-06-24
CMQ_042
As AI evolves from Generative to Agentic, structural computing bottlenecks shift away from GPU and heavily toward CPU and system memory.
Morgan Stanley
AI/Compute35%
0.63arxiv
2026-06-24
TK01
AGI Capability Plateau (2026-27 Training Stall)
15%
0.63arxiv
2026-06-24
248_023
Ternary (sub-bit) parameter precision will be optimal for AI models.
Dave Blundin
AI50%
0.63arxiv
2026-06-24
CMQ_042
As AI evolves from Generative to Agentic, structural computing bottlenecks shift away from GPU and heavily toward CPU and system memory.
Morgan Stanley
AI/Compute35%
0.63arxiv
2026-06-23
AI_036
Reinforcement Learning from Human Feedback (RLHF) will fail catastrophically when applied to superintelligence — because humans will be inherently incapable of evaluating the incomprehensible logic and actions of an ASI; therefore, aligning superintell...
Leopold Aschenbrenner
AI49%
0.63arxiv
2026-06-23
CMQ_031
AI has crossed a historic tipping point — traditional Moore's Law is obsolete; AI now follows a highly accelerated, domain-specific experience curve.
Alex Wissner-Gross
AI/Compute42%
0.63arxiv
2026-06-23
235_037
Auto-regressive transformers and diffusion models will consolidate into one unified architecture.
Alex Wissner-Gross
AI35%
0.63arxiv
2026-06-24
CMQ_056
Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency.
Dario Amodei
AI/Compute19%