Validations Queue

103,108 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 346 of 956, 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
2026-06-01
INF_069
Bitcoin's total addressable market will ultimately reach approximately $270 trillion — positioning it as "digital capital" and apex reserve asset, capturing global store-of-value demand currently distributed across real estate, gold, sovereign debt, an...
Michael Saylor
Crypto15%
0.63polymarket
2026-06-01
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
0.63polymarket
2026-05-27
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%
0.63manifold
2026-05-31
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%
0.63arxiv
2026-06-01
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
2026-06-01
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
2026-06-01
242_048
FDA will move to zero clinical trial model given enough Bayesian/computational evidence
Alex Wissner-Gross
Biotech/Longevity36%
0.63arxiv
2026-06-01
CMQ_006
Expert-level AI applied to biology/medicine will yield cures for cancer and Alzheimer's within 5-10 years, compressing a century of progress into a decade.
Dario Amodei
Biotech/Longevity36%
0.63arxiv
2026-06-01
CYB_020
Starlink expansion — navigating regulatory regimes like India's IN-SPACe approvals — establishes a ubiquitous, high-bandwidth data canopy essential for routing planetary-scale AI agent communications without terrestrial fiber-optic latency.
Gwynne Shotwell
Space65%
0.63arxiv
2026-06-01
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
2026-06-01
248_033
Superhuman AI will make BCI-enhanced humans irrelevant compared to AI 2 years from today.
Dave Blundin
AI37%
0.63arxiv
2026-06-01
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
2026-06-01
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
2026-06-01
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
2026-06-01
238_070
Small language models will be where most algorithmic breakthroughs come from (crowdsourced)
Alex Wissner-Gross
AI42%
0.63arxiv
2026-06-01
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
2026-06-01
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
2026-05-31
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
2026-05-31
248_023
Ternary (sub-bit) parameter precision will be optimal for AI models.
Dave Blundin
AI50%
0.63arxiv
2026-06-01
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
2026-06-01
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
2026-06-01
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
2026-06-01
240_013
Sam Altman predicts another architecture breakthrough as big as transformers over LSTMs
Sam Altman
AI41%
0.63arxiv
2026-05-31
CYB_024
The combination of generative AI and advanced synthetic biology is actively creating a 'ChatGPT moment' for genetic engineering — historical barriers to designing advanced, highly lethal pathogens drop precipitously; necessitating new national-security...
Eric Schmidt
Defense17%
0.63arxiv
2026-06-01
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
2026-05-31
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
2026-05-31
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%
0.63
FDA ANDA220068: FOSCARNET SODIUM (FOSCARNET SODIUM) — CAPLIN
fda
2026-05-13
COD_BIO_001
FDA finalizes or materially advances AI-for-drug-submission guidance by end 2026
Codex Research Pack
Biotech/Longevity47%
0.63github_release
2019-10-14
INF_009
The first multi-behavior brain-organoid upload is imminent — wetware ('brain organoid') computing has progressed from Pong (2021) to Doom-class simulators (2025), and offers a pathway out of silicon thermal limits at ~20W per brain-equivalent compute.
Alex Wissner-Gross
AI17%
0.63polymarket
2026-05-28
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
0.63polymarket
2026-05-28
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
0.63polymarket
2026-05-28
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
0.63polymarket
2026-05-28
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
0.63manifold
2026-06-03
S_IPO_TRILLION_2026
First $1T+ IPO in 2026
ipo_trillion_plus25%
0.63polymarket
2026-06-01
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
0.63polymarket
2026-05-29
235_041
Anthropic implied valuation using PE ratio could be one quadrillion dollars.
Dave Blundin
Markets/Stocks41%
0.63polymarket
2026-05-26
SPC_002
A SpaceX public-market liquidity event will reach a $1.5 trillion to $2 trillion valuation target — with roughly one-third defensible solely on proven Starlink + launch cash flow, and remaining two-thirds resting on speculative programs (Starship V3, o...
Morgan Stanley
Markets/Stocks45%
0.63polymarket
2026-06-01
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
0.63polymarket
2026-02-09
231_018
Blitz will switch to next generation model in late March 2026.
Dave Blundin
AI30%
0.63polymarket
2026-05-30
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
0.63polymarket
2026-06-04
247_040
AI agents will invent their own currencies, won't stick with Bitcoin
Alex Wissner-Gross
Crypto26%
0.63polymarket
2026-06-01
235_041
Anthropic implied valuation using PE ratio could be one quadrillion dollars.
Dave Blundin
Markets/Stocks41%
0.63polymarket
2026-06-05
S_IPO_TRILLION_2026
First $1T+ IPO in 2026
ipo_trillion_plus25%
0.63manifold
2026-06-05
SEM_039
Block unveiled proprietary Bitcoin mining ASIC at 709 Terahashes/second (TH/s) — leading indicator for eventual AI inference ASIC trajectory.
Jack Dorsey
Semis/ASICs83%
0.63manifold
2026-06-05
242_034
AI could compress S&P 500 equity valuations 2-7x free cash flow (down from 22x)
Chamath Palihapitiya
Markets/Stocks38%
0.63manifold
2026-06-05
AI_019
Copper and other critical base metals will be the premier investment assets of 2026 — insatiable, inelastic demand for data-center electrification and thermal management creates commodity supercycle not priced into public markets.
Chamath Palihapitiya
Markets/Stocks37%
0.63arxiv
2026-06-04
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
2026-06-04
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
2026-06-04
CYB_005
'Memory becomes the moat' — by 2026, the global discourse around 'AI safety' will effectively transition into highly politicized debates over 'memory policy'. Whichever entity controls the contextual history and relational memory of human-AI interactio...
Ray Kurzweil
AI30%
0.63arxiv
2026-06-04
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
2026-06-04
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
2026-06-04
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
2026-06-04
235_037
Auto-regressive transformers and diffusion models will consolidate into one unified architecture.
Alex Wissner-Gross
AI35%
0.63arxiv
2026-06-04
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
2026-06-04
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
2026-06-04
CMQ_058
Localized hardware setups (multiple Apple Mac Studios, dedicated 'AI Max 300' silicon) will allow developers to run powerful inference workloads directly on-premises — reducing cloud dependency.
Alex Finn
AI/Compute59%
0.63arxiv
2026-06-04
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
2026-06-04
CYB_012
'Recommendation poisoning' — deliberate corruption of the data lakes, training sets, and persistent memory banks that agents rely on for purchase/action decisions — emerges as the primary new cybersecurity-marketing vector, blurring the line between di...
Alex Finn
AI44%
0.63arxiv
2026-06-03
235_037
Auto-regressive transformers and diffusion models will consolidate into one unified architecture.
Alex Wissner-Gross
AI35%
0.63arxiv
2026-06-03
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
2026-06-03
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
2026-06-04
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
2026-06-04
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
2026-06-04
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
2026-06-04
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
2026-06-03
IND_027
Ongoing 'reasoning boom' where scientific software development operates on a '20-80 human split' — AI handles 80% of cognitive labor, humans handle 20%, driving recursive self-improvement timelines toward the Singularity; fundamental inversion from hum...
Eric Schmidt
Labor/Jobs42%
0.63arxiv
2026-06-03
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
2026-06-03
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
2026-06-03
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
2026-06-04
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
2026-06-03
CYB_019
Deployment of 'world model systems' — AI that accurately simulates and anticipates the physical and thermodynamic dynamics of reality — serves as the critical foundational training ground for embodied agents, letting them experience billions of hours o...
Demis Hassabis
Robotics44%
0.63arxiv
2026-06-03
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
2026-06-03
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%
0.63arxiv
2026-06-03
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
2026-06-03
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%
0.63polymarket
2026-06-06
INF_068
2026 will be a watershed year for state and institutional Bitcoin accumulation — nations will drive a sustained Bitcoin shopping spree, formalizing digital assets as reserve infrastructure.
Michael Saylor
Crypto29%
0.63manifold
2026-06-05
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%
0.63polymarket
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%
0.63polymarket
2026-04-06
246_022
Claude Mythos will NOT be released publicly near-term (PolyMarket ~7%).
PolyMarket
AI45%
0.63polymarket
2026-06-06
S_IPO_TRILLION_2026
First $1T+ IPO in 2026
ipo_trillion_plus25%
0.63polymarket
2026-06-01
235_041
Anthropic implied valuation using PE ratio could be one quadrillion dollars.
Dave Blundin
Markets/Stocks41%
0.63manifold
2026-06-06
TK10
$100T Sovereign Debt Crisis
12%
0.63polymarket
2026-06-02
S_IPO_TRILLION_2026
First $1T+ IPO in 2026
ipo_trillion_plus25%
0.63github_release
2020-05-17
CMQ_026
NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence.
Jensen Huang
Semis83%
0.63arxiv
2026-06-05
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
2026-06-05
CYB_012
'Recommendation poisoning' — deliberate corruption of the data lakes, training sets, and persistent memory banks that agents rely on for purchase/action decisions — emerges as the primary new cybersecurity-marketing vector, blurring the line between di...
Alex Finn
AI44%
0.63arxiv
2026-06-05
AI_006
True autonomous agents are 'not anywhere close' — AGI and reliable long-horizon agents will require a full decade (2034 or beyond) to develop the holistic contextual reasoning and robust world models needed for unconstrained physical and digital enviro...
Andrej Karpathy
AI38%
0.63arxiv
2026-06-05
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
2026-06-05
238_070
Small language models will be where most algorithmic breakthroughs come from (crowdsourced)
Alex Wissner-Gross
AI42%
0.63arxiv
2026-06-05
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
2026-06-05
COD_AI_004
Frontier agents reach one-workday autonomous task horizon by end 2027
Codex Research Pack
AI36%
0.63arxiv
2026-06-05
CYB_024
The combination of generative AI and advanced synthetic biology is actively creating a 'ChatGPT moment' for genetic engineering — historical barriers to designing advanced, highly lethal pathogens drop precipitously; necessitating new national-security...
Eric Schmidt
Defense17%
0.63arxiv
2026-06-05
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
2026-06-05
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
2026-06-05
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
2026-06-05
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
2026-06-05
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
2026-06-05
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
2026-06-05
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
2026-06-05
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%