Validations Queue

106,328 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 399 of 1970, 50 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
0.66arxiv
2026-06-01
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%
0.66arxiv
2026-06-01
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%
0.66arxiv
2026-06-01
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%
0.66arxiv
2026-06-01
229_044
Positive transfer learning will continue to emerge, meaning more diverse data makes Figure robots broadly better at many tasks.
Brett Adcock
AI35%
0.66arxiv
2026-06-01
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%
0.66arxiv
2026-05-31
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%
0.66arxiv
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%
0.66arxiv
2026-06-01
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%
0.66arxiv
2026-06-01
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%
0.66arxiv
2026-06-01
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%
0.66arxiv
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%
0.66arxiv
2026-06-01
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%
0.66arxiv
2026-05-31
240_013
Sam Altman predicts another architecture breakthrough as big as transformers over LSTMs
Sam Altman
AI41%
0.66arxiv
2026-05-31
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%
0.66arxiv
2026-05-31
SEM_049
AI will soon fully automate software engineering, achieving massive cost reductions via iterative self-improvement.
Alex Wissner-Gross
AI/Software56%
0.66arxiv
2026-05-31
235_037
Auto-regressive transformers and diffusion models will consolidate into one unified architecture.
Alex Wissner-Gross
AI35%
0.66arxiv
2026-05-31
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%
0.66arxiv
2026-05-31
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%
0.66arxiv
2026-05-31
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%
0.66arxiv
2026-05-31
238_070
Small language models will be where most algorithmic breakthroughs come from (crowdsourced)
Alex Wissner-Gross
AI42%
0.66arxiv
2026-05-31
235_037
Auto-regressive transformers and diffusion models will consolidate into one unified architecture.
Alex Wissner-Gross
AI35%
0.66arxiv
2026-05-31
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%
0.66polymarket
2026-06-02
234_015
Anthropic, OpenAI and SpaceX IPOs are likely within the next 6 months
Peter Diamandis
Markets/Stocks31%
0.66polymarket
2026-05-30
234_015
Anthropic, OpenAI and SpaceX IPOs are likely within the next 6 months
Peter Diamandis
Markets/Stocks31%
0.66polymarket
2026-05-29
235_041
Anthropic implied valuation using PE ratio could be one quadrillion dollars.
Dave Blundin
Markets/Stocks28%
0.66polymarket
2026-05-30
S_MARS_2026
Mars uncrewed: 2026 transfer window
mars_uncrewed_landing25%
0.66polymarket
2026-05-30
230_022
Elon plans to produce tens of millions of robots per year in just a few years.
Elon Musk
Robotics22%
0.66polymarket
2026-05-30
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%
0.66polymarket
2026-05-30
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%
0.66polymarket
2026-05-30
S_MARS_2026
Mars uncrewed: 2026 transfer window
mars_uncrewed_landing25%
0.66polymarket
2026-05-30
234_015
Anthropic, OpenAI and SpaceX IPOs are likely within the next 6 months
Peter Diamandis
Markets/Stocks31%
0.66polymarket
2026-05-30
231_038
TSMC fabs will come online in 5-6-7 years; Elon won't wait that long.
Dave Blundin
AI44%
0.66arxiv
2026-06-04
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%
0.66arxiv
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%
0.66arxiv
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%
0.66arxiv
2026-06-04
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%
0.66arxiv
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%
0.66arxiv
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%
0.66arxiv
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%
0.66arxiv
2026-06-04
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%
0.66arxiv
2026-06-04
CYB_013
The most resilient corporate moats in agentic commerce will NOT be built on software logic but on proprietary 'data flywheels' — platforms aggregating unbiased real-time consumer-intent data via continuous streams from millions of interacting autonomou...
Dave Blundin
Markets/Stocks52%
0.66arxiv
2026-06-04
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%
0.66arxiv
2026-06-04
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%
0.66arxiv
2026-06-04
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%
0.66arxiv
2026-06-04
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%
0.66arxiv
2026-06-03
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%
0.66arxiv
2026-06-03
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%
0.66arxiv
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%
0.66arxiv
2026-06-04
238_070
Small language models will be where most algorithmic breakthroughs come from (crowdsourced)
Alex Wissner-Gross
AI42%
0.66arxiv
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%