Validations Queue

95,758 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 288 of 887, 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
0.64arxiv
2026-06-11
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%
0.64arxiv
2026-06-11
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%
0.64arxiv
2026-06-11
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%
0.64arxiv
2026-06-11
235_037
Auto-regressive transformers and diffusion models will consolidate into one unified architecture.
Alex Wissner-Gross
AI35%
0.64arxiv
2026-06-11
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%
0.64arxiv
2026-06-10
248_019
US data center moratoriums will push AI compute out to LEO / sun-synchronous orbit / Dyson swarm.
Alex Wissner-Gross
Space12%
0.64arxiv
2026-06-10
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%
0.64arxiv
2026-06-10
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%
0.64arxiv
2026-06-11
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%
0.64arxiv
2026-06-11
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%
0.64arxiv
2026-06-11
234_045
Moon disassembly for AI data centers may not actually be needed due to physics advances
Alex Wissner-Gross
Space37%
0.64arxiv
2026-06-11
230_029
Cognition is becoming a commodity — intelligence will flow like oil.
Alex Wissner-Gross
AI43%
0.64arxiv
2026-06-11
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%
0.64arxiv
2026-06-11
238_070
Small language models will be where most algorithmic breakthroughs come from (crowdsourced)
Alex Wissner-Gross
AI42%
0.64arxiv
2026-06-11
238_070
Small language models will be where most algorithmic breakthroughs come from (crowdsourced)
Alex Wissner-Gross
AI42%
0.64arxiv
2026-06-11
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%
0.64arxiv
2026-06-11
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%
0.64arxiv
2026-06-11
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%
0.64arxiv
2026-06-11
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%
0.64manifold
2026-06-13
IND_011
2024-2026 window represents 'AI's iPhone moment' — tech ecosystem moves rapidly beyond simple chatbots to living autonomous AI agents; this shift fundamentally breaks traditional SaaS business model, transitioning economy toward outcome-based pricing r...
Jason Calacanis
Macro/Economy58%
0.64polymarket
2026-06-13
S_IPO_TRILLION_2026
First $1T+ IPO in 2026
ipo_trillion_plus25%
0.64polymarket
2026-06-14
S_IPO_TRILLION_2026
First $1T+ IPO in 2026
ipo_trillion_plus25%
0.64polymarket
2026-06-09
S_IPO_TRILLION_2026
First $1T+ IPO in 2026
ipo_trillion_plus25%
0.64polymarket
2026-06-09
S_IPO_TRILLION_2026
First $1T+ IPO in 2026
ipo_trillion_plus25%
0.64polymarket
2026-01-29
242_036
Mid-cap/small-cap firms with high-labor ops will triple FCF while multiple compresses
Dave Blundin
Markets/Stocks42%
0.64polymarket
2026-06-09
235_041
Anthropic implied valuation using PE ratio could be one quadrillion dollars.
Dave Blundin
Markets/Stocks41%
0.64polymarket
2026-06-01
231_051
Entire generation growing up with crypto (Ethereum, Bitcoin) as means of exchange will have near-zero switching cost.
Salim Ismail
Crypto48%
0.64polymarket
2026-06-01
S_IPO_TRILLION_2026
First $1T+ IPO in 2026
ipo_trillion_plus25%
0.64github_release
2024-09-13
CMQ_026
NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence.
Jensen Huang
Semis83%
0.64polymarket
2026-04-06
240_046
Public interest in any alien disclosure will fade within one or two days
Alex Wissner-Gross
Media/Ads43%
0.64polymarket
2026-04-06
246_022
Claude Mythos will NOT be released publicly near-term (PolyMarket ~7%).
PolyMarket
AI45%
0.64polymarket
2026-06-10
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
0.64polymarket
2026-06-10
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
0.64polymarket
2026-06-10
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
0.64manifold
2026-06-15
236_003
Jobs will get whisked away in many firms in 2026
Andrew Yang
Labor/Jobs49%
0.64arxiv
2026-06-15
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%
0.64arxiv
2026-06-15
235_037
Auto-regressive transformers and diffusion models will consolidate into one unified architecture.
Alex Wissner-Gross
AI35%
0.64arxiv
2026-06-15
229_044
Positive transfer learning will continue to emerge, meaning more diverse data makes Figure robots broadly better at many tasks.
Brett Adcock
AI35%
0.64arxiv
2026-06-15
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%
0.64arxiv
2026-06-15
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%
0.64arxiv
2026-06-15
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%
0.64arxiv
2026-06-15
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%
0.64arxiv
2026-06-15
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%
0.64arxiv
2026-06-14
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%
0.64arxiv
2026-06-15
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%
0.64arxiv
2026-06-15
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%
0.64arxiv
2026-06-15
235_037
Auto-regressive transformers and diffusion models will consolidate into one unified architecture.
Alex Wissner-Gross
AI35%
0.64arxiv
2026-06-15
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%
0.64arxiv
2026-06-15
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%
0.64arxiv
2026-06-15
235_037
Auto-regressive transformers and diffusion models will consolidate into one unified architecture.
Alex Wissner-Gross
AI35%
0.64arxiv
2026-06-15
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%
0.64arxiv
2026-06-14
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%
0.64arxiv
2026-06-14
AUT_027
Integration of AI with advanced bio-sensing, quantum computing, and genomics enables humanity to achieve 'Longevity Escape Velocity' — tipping point where medical technology extends human lifespan faster than time passes; continuous biological surveill...
Peter Diamandis
Biotech/Longevity21%
0.64arxiv
2026-06-14
235_037
Auto-regressive transformers and diffusion models will consolidate into one unified architecture.
Alex Wissner-Gross
AI35%
0.64arxiv
2026-06-15
238_070
Small language models will be where most algorithmic breakthroughs come from (crowdsourced)
Alex Wissner-Gross
AI42%
0.64arxiv
2026-06-15
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%
0.64arxiv
2026-06-15
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%
0.64arxiv
2026-06-15
IND_014
Generative AI has rendered static one-size-fits-all learning structurally obsolete — 'every textbook is obsolete' as AI tutors construct personalized lessons mapped perfectly to student mastery level; total disintermediation of the human academic teach...
Joe Liemandt
Education48%
0.64arxiv
2026-06-14
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%
0.64arxiv
2026-06-14
238_070
Small language models will be where most algorithmic breakthroughs come from (crowdsourced)
Alex Wissner-Gross
AI42%
0.64arxiv
2026-06-15
SPC_025
Critical misalignment in the AI industry: approximately 300 AI capabilities researchers for every one AGI safety researcher — extreme systemic risk as these autonomous systems are deployed into physical domains like space and embodied robotics.
Leopold Aschenbrenner
AI64%
0.64arxiv
2026-06-15
CMQ_047
Autonomous code agents and AutoResearch systems will close the loop on complex scientific experimentation without human-in-the-loop.
Andrej Karpathy
AI51%
0.64arxiv
2026-06-15
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%
0.64arxiv
2026-06-15
SPC_025
Critical misalignment in the AI industry: approximately 300 AI capabilities researchers for every one AGI safety researcher — extreme systemic risk as these autonomous systems are deployed into physical domains like space and embodied robotics.
Leopold Aschenbrenner
AI64%
0.64arxiv
2026-06-14
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%
0.64arxiv
2026-06-14
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%
0.64polymarket
2026-06-11
S_IPO_TRILLION_2026
First $1T+ IPO in 2026
ipo_trillion_plus25%
0.64polymarket
2026-06-16
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%
0.64polymarket
2026-06-11
S_IPO_TRILLION_2026
First $1T+ IPO in 2026
ipo_trillion_plus25%
0.64arxiv
2026-06-16
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%
0.64arxiv
2026-06-16
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%
0.64arxiv
2026-06-16
SPC_025
Critical misalignment in the AI industry: approximately 300 AI capabilities researchers for every one AGI safety researcher — extreme systemic risk as these autonomous systems are deployed into physical domains like space and embodied robotics.
Leopold Aschenbrenner
AI64%
0.64arxiv
2026-06-16
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%
0.64arxiv
2026-06-16
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%
0.64arxiv
2026-06-16
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%
0.64arxiv
2026-06-16
FUT_004
Rapid ascension and enterprise dominance of Large Action Models (LAMs) by 2026-2031 — LLM as primary digital interface becomes obsolete; LAMs observe complex behavioral patterns, internalize multi-step business processes, predict physical-robot mainten...
Amy Webb
AI62%
0.64arxiv
2026-06-16
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%
0.64arxiv
2026-06-16
CMQ_010
True AGI requires genuine scientific-discovery capabilities (AlphaFold-class breakthroughs) — brute-force LLM scaling alone is insufficient.
Demis Hassabis
AI49%
0.64arxiv
2026-06-16
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%
0.64arxiv
2026-06-16
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%
0.64arxiv
2026-06-16
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%
0.64arxiv
2026-06-16
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%
0.64arxiv
2026-06-16
233_021
AI learning will improve via closed-loop reinforcement learning cycle making results keep increasing.
Joe Liemandt
AI39%
0.64arxiv
2026-06-15
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%
0.64arxiv
2026-06-16
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%
0.64arxiv
2026-06-15
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%
0.64polymarket
2026-06-17
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%
0.64polymarket
2026-06-12
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
0.64manifold
2026-06-18
247_038
Bitcoin upgrade will come before quantum threat does (Saylor)
Michael Saylor
Crypto48%
0.64arxiv
2026-06-17
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%
0.64arxiv
2026-06-17
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%
0.64arxiv
2026-06-17
240_013
Sam Altman predicts another architecture breakthrough as big as transformers over LSTMs
Sam Altman
AI41%
0.64arxiv
2026-06-17
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%
0.64arxiv
2026-06-17
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%
0.64arxiv
2026-06-17
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%
0.64arxiv
2026-06-17
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%
0.64arxiv
2026-06-17
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%
0.64arxiv
2026-06-17
COD_TECH_001
A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps
Codex Research Pack
Semis50%
0.64arxiv
2026-06-17
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%
0.64arxiv
2026-06-17
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%