Validations Queue

101,098 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 345 of 938, 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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Bulk auto-confirm by similarity threshold

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
0.63arxiv
2026-06-23
SEM_049
AI will soon fully automate software engineering, achieving massive cost reductions via iterative self-improvement.
Alex Wissner-Gross
AI/Software56%
0.63arxiv
2026-06-24
CYB_023
Immutable cryptographic verification layers — specifically Bitcoin — must be integrated into AI architectures as decentralized ground-truth anchor: establishing undeniable digital provenance in an ecosystem inevitably flooded with AI-generated data, de...
Michael Saylor
Crypto26%
0.63arxiv
2026-06-24
S_HUMANOID_CONSUMER_2030
Humanoid R3: 1M+ consumer by Nov 2030
humanoid_deployment20%
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
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_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%
0.63
FDA ANDA075929: BUTALBITAL, ACETAMINOPHEN, CAFFEINE AND CODEINE PHOSPHATE (ACETAMINOPHEN) — PHARMOBEDIENT
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%
0.63
FDA ANDA074736: NALOXONE HYDROCHLORIDE AND PENTAZOCINE HYDROCHLORIDE (NALOXONE HYDROCHLORIDE) — WATSON LABS
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%
0.63
FDA ANDA213906: LEVORPHANOL TARTRATE (LEVORPHANOL TARTRATE) — SUN PHARM INDS INC
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
2026-02-02
S_IPO_TRILLION_2026
First $1T+ IPO in 2026
ipo_trillion_plus25%
0.63manifold
2026-06-25
238_005
By September 2026 there will be 1000+ ultra-high-inspirational-quality videos of the future generated nearly free
Alex Wissner-Gross
AI39%
0.63arxiv
2026-06-25
SPC_017
Startups capable of cleaning, structuring, and validating multimodal data pipelines (video, telemetry, Earth-observation) will unlock enterprise value of space-based observations — unstructured multimodal data causes AI agent workflows to hallucinate o...
Jennifer Li
AI63%
0.63arxiv
2026-06-25
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
2026-06-25
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
2026-06-25
SEM_022
FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development.
Dave Blundin
AI/Architecture65%
0.63arxiv
2026-06-25
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
2026-06-25
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
240_013
Sam Altman predicts another architecture breakthrough as big as transformers over LSTMs
Sam Altman
AI41%
0.63arxiv
2026-06-24
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
2026-06-25
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
2026-06-25
CMQ_015
Algorithmic efficiencies will deliver ~0.5 OOMs per year of additional effective compute through 2027 — pure multiplier on raw FLOPs.
Leopold Aschenbrenner
AI50%
0.63arxiv
2026-06-25
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
233_021
AI learning will improve via closed-loop reinforcement learning cycle making results keep increasing.
Joe Liemandt
AI39%
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
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
2026-06-25
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
2026-06-25
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
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
2026-06-24
CMQ_055
Multimodal voice recognition powered by generative AI will serve as the default user interface for humanoid physical workers — speak instructions, robot executes.
Brett Adcock
Robotics29%
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%
0.63polymarket
2026-06-02
S_MARS_2026
Mars uncrewed: 2026 transfer window
mars_uncrewed_landing25%
0.63polymarket
2026-06-26
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
2026-06-21
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
0.63manifold
2026-06-27
241_027
China will win low-end robotic hardware race
Eric Schmidt
Robotics49%
0.63manifold
2026-06-29
241_011
By end of 2026, no one will write code manually - it'll be a quaint skill
Peter Diamandis
Labor/Jobs47%
0.63manifold
2026-06-29
CMQ_004
AGI-like models matching or outperforming human experts across most professional domains could arrive as early as 2026-2027.
Dario Amodei
AI28%
0.63polymarket
2026-04-24
S_MARS_2026
Mars uncrewed: 2026 transfer window
mars_uncrewed_landing25%
0.63polymarket
2026-06-23
247_003
Settlement will include granting equity stake on OpenAI cap table for Elon in ultimate IPO
Alex Wissner-Gross
AI35%
0.63manifold
2026-06-30
239_004
xAI/Grok will catch up and exceed competitors on coding by mid-2026
Elon Musk
AI40%
0.63arxiv
2026-06-29
FUT_020
Profound structural collision: exponential AI cognitive bandwidth (Webb LAMs FUT_004) colliding with Zeihan demographic atrophy (FUT_007) forces corporations + sovereign states to delegate supply chain logistics, financial forecasting, infrastructure m...
Multi-Forecaster Synthesis
Labor/Jobs45%
0.63arxiv
2026-06-29
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
2026-06-29
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
2026-06-29
CYB_023
Immutable cryptographic verification layers — specifically Bitcoin — must be integrated into AI architectures as decentralized ground-truth anchor: establishing undeniable digital provenance in an ecosystem inevitably flooded with AI-generated data, de...
Michael Saylor
Crypto26%
0.63arxiv
2026-06-29
238_071
Future AI models may compress all human knowledge into megabytes via post-transformer breakthroughs
Alex Wissner-Gross
AI35%
0.63arxiv
2026-06-29
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
2026-06-29
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
2026-06-29
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
2026-06-29
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
2026-06-29
CYB_011
Consumer commerce shifts from 'search and click' to 'ask and buy' — persistent AI agents with hyper-personalized memory navigate budgetary limits, ethical brand preferences, dietary restrictions, and logistical requirements with absolute precision, sev...
Alex Finn
Consumer44%
0.63arxiv
2026-06-29
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
2026-06-29
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
2026-06-29
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
2026-06-29
239_032
Progress in AI will continue as series of overlapping S-curves
Elon Musk
AI40%
0.63arxiv
2026-06-29
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
2026-06-29
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
2026-06-29
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
2026-06-29
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
2026-06-29
229_042
Figure believes there will be a single omni-model fusing language, vision, action, memory — not multiple specialized neural nets per task.
Brett Adcock
AI40%
0.63arxiv
2026-06-29
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
2026-06-29
242_043
AI models will distill down to a few million parameters as end-state
Alex Wissner-Gross
AI35%
0.63arxiv
2026-06-28
233_021
AI learning will improve via closed-loop reinforcement learning cycle making results keep increasing.
Joe Liemandt
AI39%
0.63arxiv
2026-06-28
240_013
Sam Altman predicts another architecture breakthrough as big as transformers over LSTMs
Sam Altman
AI41%
0.63arxiv
2026-06-28
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
2026-06-29
230_029
Cognition is becoming a commodity — intelligence will flow like oil.
Alex Wissner-Gross
AI43%
0.63arxiv
2026-06-29
238_070
Small language models will be where most algorithmic breakthroughs come from (crowdsourced)
Alex Wissner-Gross
AI42%
0.63arxiv
2026-06-29
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
2026-06-29
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
2026-06-29
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
2026-06-28
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
2026-06-29
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
2026-06-29
S_HUMANOID_CONSUMER_2030
Humanoid R3: 1M+ consumer by Nov 2030
humanoid_deployment20%
0.63arxiv
2026-06-29
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
2026-06-29
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
2026-06-29
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
2026-06-28
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
2026-06-28
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
2026-06-29
247_050
Virtual cell achievable through classical scaling without quantum computing
Alex Wissner-Gross
Biotech/Longevity44%
0.63polymarket
2026-06-25
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
0.63polymarket
2026-06-02
S_MARS_2026
Mars uncrewed: 2026 transfer window
mars_uncrewed_landing25%
0.63polymarket
2026-06-23
247_003
Settlement will include granting equity stake on OpenAI cap table for Elon in ultimate IPO
Alex Wissner-Gross
AI35%
0.63manifold
2026-06-30
S_IPO_TRILLION_2026
First $1T+ IPO in 2026
ipo_trillion_plus25%
0.63edgar_8k
2026-06-30
SEM_023
No AI bubble — semiconductor positive trend will remain robust through 2026 with 'crystal clear' growth visibility into 2027.
Joseph Moore
Semis/Markets63%
0.63edgar_8k
2026-06-30
SEM_027
Nvidia Data Center revenue +66% YoY, contributing ~90% of $57B fiscal Q3 revenue; >$4.5T market cap entirely underpinned by AI silicon.
Joseph Moore
Capital Markets68%
0.63arxiv
2026-06-30
229_042
Figure believes there will be a single omni-model fusing language, vision, action, memory — not multiple specialized neural nets per task.
Brett Adcock
AI40%
0.63arxiv
2026-06-30
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
2026-06-30
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
2026-06-30
240_013
Sam Altman predicts another architecture breakthrough as big as transformers over LSTMs
Sam Altman
AI41%
0.63arxiv
2026-06-30
INF_072
There is approximately a 50/50 chance that simply scaling existing methodologies (transformer architecture + more data + more compute) will be enough to reach AGI — though "nowhere near" human-level AGI currently.
Demis Hassabis
AI40%
0.63arxiv
2026-06-30
248_023
Ternary (sub-bit) parameter precision will be optimal for AI models.
Dave Blundin
AI50%
0.63arxiv
2026-06-30
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
2026-06-30
229_042
Figure believes there will be a single omni-model fusing language, vision, action, memory — not multiple specialized neural nets per task.
Brett Adcock
AI40%
0.63arxiv
2026-06-30
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
2026-06-30
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
2026-06-30
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%
0.63polymarket
2025-07-08
234_035
Massive social unrest will come before the next US presidential election
Dave Blundin
Geopolitics50%
0.63polymarket
2026-03-02
230_010
Mega-cap AI companies will reach trillion to 10-trillion+ valuations but have to stop somewhere due to antitrust.
Dave Blundin
Markets/Stocks47%
0.63polymarket
2025-07-03
236_012
An independent candidate will get outsized support in 2028 despite attacks
Andrew Yang
Geopolitics51%
0.63polymarket
2026-04-02
235_041
Anthropic implied valuation using PE ratio could be one quadrillion dollars.
Dave Blundin
Markets/Stocks41%
0.63polymarket
2025-10-10
246_010
SpaceX/XAI/Tesla will be the first $100 trillion company within 5 years.
Peter Diamandis
Markets/Stocks43%
0.63manifold
2026-04-29
TK10
$100T Sovereign Debt Crisis
12%