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 281 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
2026-06-08
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
2026-06-08
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
2026-06-08
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
2026-06-07
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
2026-06-07
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
2026-06-07
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
2026-06-08
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
2026-06-08
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
2026-06-08
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
2026-06-07
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
2026-06-07
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
2026-06-07
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%
0.64arxiv
2026-06-08
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
2026-06-08
AI_024
As AI-generated video becomes indistinguishable from reality, a massive economic resurgence in the 'Face-to-Face' (F2F) economy will emerge — live-event production, in-person experiences, and physical gatherings rebound as synthetic-reality counterweig...
Mark Cuban
Consumer45%
0.64arxiv
2026-06-07
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
2026-06-07
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
2025-12-04
S_MARS_2026
Mars uncrewed: 2026 transfer window
mars_uncrewed_landing25%
0.64arxiv
2026-06-09
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
2026-06-09
240_057
OpenAI will have another day in the sun with core AI subscription strategy
Alex Wissner-Gross
AI35%
0.64arxiv
2026-06-09
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
2026-06-09
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
2026-06-09
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
2026-06-09
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
2026-06-08
AI_015
Localized, decentralized open-source AI models — the 'Last Economy' — will form the backbone of AI infrastructure, stripping monopolistic pricing power from centralized hyperscalers.
Emad Mostaque
AI35%
0.64arxiv
2026-06-08
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%
0.64arxiv
2026-06-08
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%
0.64arxiv
2026-06-08
230_029
Cognition is becoming a commodity — intelligence will flow like oil.
Alex Wissner-Gross
AI43%
0.64arxiv
2026-06-08
240_013
Sam Altman predicts another architecture breakthrough as big as transformers over LSTMs
Sam Altman
AI41%
0.64arxiv
2026-06-08
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
2026-06-09
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
2026-06-09
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
2026-06-09
229_028
Figure will NOT license out its neural net or hardware IP to third-party form-factor builders.
Brett Adcock
Robotics69%
0.64arxiv
2026-06-09
229_028
Figure will NOT license out its neural net or hardware IP to third-party form-factor builders.
Brett Adcock
Robotics69%
0.64arxiv
2026-06-09
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
2026-06-09
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
2026-06-09
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
2026-06-09
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%
0.64arxiv
2026-06-08
CYB_003
Localized, ungoverned multi-agent networks will spontaneously generate their own social networks, governance manifestos, debated ethics, and closed-loop digital economies — exemplified by the Moltbook platform in early 2026 where 150,000+ autonomous AI...
Alex Finn
AI55%
0.64arxiv
2026-06-09
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
2026-06-09
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%
0.64arxiv
2026-06-08
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
2026-06-10
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
2026-06-10
242_034
AI could compress S&P 500 equity valuations 2-7x free cash flow (down from 22x)
Chamath Palihapitiya
Markets/Stocks38%
0.64arxiv
2026-06-09
248_023
Ternary (sub-bit) parameter precision will be optimal for AI models.
Dave Blundin
AI50%
0.64arxiv
2026-06-09
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
2026-06-09
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
2026-06-10
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
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
2026-06-10
235_037
Auto-regressive transformers and diffusion models will consolidate into one unified architecture.
Alex Wissner-Gross
AI35%
0.64arxiv
2026-06-10
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
2026-06-10
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
2026-06-09
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
2026-06-09
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
2026-06-10
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
2026-06-09
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
2026-06-10
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%
0.64arxiv
2026-06-10
242_059
Self-flying eVTOLs will be the norm given AI safety advantages
Dave Blundin
Auto/Transport45%
0.64arxiv
2026-06-10
S_ROBOTAXI_MASS_2030
Robotaxi >10% urban miles by Nov 2030
robotaxi_deployment30%
0.64
FDA BLA761089: AJOVY (FREMANEZUMAB-VFRM) — TEVA PHARMS USA
fda
2026-06-05
COD_BIO_001
FDA finalizes or materially advances AI-for-drug-submission guidance by end 2026
Codex Research Pack
Biotech/Longevity47%
0.64
FDA NDA203985: AFINITOR DISPERZ (EVEROLIMUS) — NOVARTIS PHARM
fda
2026-06-01
COD_BIO_001
FDA finalizes or materially advances AI-for-drug-submission guidance by end 2026
Codex Research Pack
Biotech/Longevity47%
0.64manifold
2026-06-12
236_012
An independent candidate will get outsized support in 2028 despite attacks
Andrew Yang
Geopolitics51%
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
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
2026-06-11
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
2026-06-11
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_015
Algorithmic efficiencies will deliver ~0.5 OOMs per year of additional effective compute through 2027 — pure multiplier on raw FLOPs.
Leopold Aschenbrenner
AI50%
0.64arxiv
2026-06-11
247_050
Virtual cell achievable through classical scaling without quantum computing
Alex Wissner-Gross
Biotech/Longevity44%
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
S_HUMANOID_CONSUMER_2030
Humanoid R3: 1M+ consumer by Nov 2030
humanoid_deployment20%
0.64arxiv
2026-06-11
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%
0.64arxiv
2026-06-11
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%
0.64arxiv
2026-06-11
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%
0.64arxiv
2026-06-10
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
2026-06-11
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
240_013
Sam Altman predicts another architecture breakthrough as big as transformers over LSTMs
Sam Altman
AI41%
0.64arxiv
2026-06-11
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%
0.64arxiv
2026-06-10
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
2026-06-10
230_029
Cognition is becoming a commodity — intelligence will flow like oil.
Alex Wissner-Gross
AI43%
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
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_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%
0.64polymarket
2026-06-12
S_IPO_TRILLION_2026
First $1T+ IPO in 2026
ipo_trillion_plus25%
0.64manifold
2026-06-13
S_HUMANOID_CONSUMER_2030
Humanoid R3: 1M+ consumer by Nov 2030
humanoid_deployment20%
0.64manifold
2026-06-13
235_002
Anthropic will exceed OpenAI in revenue this year (2026).
Dave Blundin
AI75%
0.64
FDA ANDA202693: ACETAZOLAMIDE SODIUM (ACETAZOLAMIDE SODIUM) — AVET LIFESCIENCES
fda
2026-06-05
COD_BIO_001
FDA finalizes or materially advances AI-for-drug-submission guidance by end 2026
Codex Research Pack
Biotech/Longevity47%
0.64github_release
2019-07-19
239_004
xAI/Grok will catch up and exceed competitors on coding by mid-2026
Elon Musk
AI40%
0.64polymarket
2026-06-09
S_IPO_TRILLION_2026
First $1T+ IPO in 2026
ipo_trillion_plus25%
0.64polymarket
2026-04-06
246_022
Claude Mythos will NOT be released publicly near-term (PolyMarket ~7%).
PolyMarket
AI45%
0.64polymarket
2026-06-01
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%
0.64manifold
2026-06-15
INF_001
Reaching AGI by 2027 will require deployment of hundreds of millions of AI GPUs — forcing total mobilization of US industrial capacity for semiconductor fab and data-center shell construction.
Leopold Aschenbrenner
AI48%
0.64manifold
2026-06-15
246_023
Grok 5 release ~20% probability for Q2 2026 per PolyMarket.
PolyMarket
AI43%
0.64polymarket
2026-06-16
S_IPO_TRILLION_2026
First $1T+ IPO in 2026
ipo_trillion_plus25%
0.64arxiv
2026-06-15
S_ROBOTAXI_MASS_2030
Robotaxi >10% urban miles by Nov 2030
robotaxi_deployment30%
0.64arxiv
2026-06-15
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
2026-06-15
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
2026-06-15
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
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%
0.64arxiv
2026-06-15
S_AI_PAUSE_2028
AI pause beginning 2028
ai_regulatory_pause10%