Validations Queue

107,075 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 406 of 466, 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
2026-06-22
235_037
Auto-regressive transformers and diffusion models will consolidate into one unified architecture.
Alex Wissner-Gross
AI35%
0.66arxiv
2026-06-22
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
2026-06-22
237_022
Alex Finn plans to build an autonomous closed-loop organization where agents research, validate, code and deploy value on the web in coming years.
Alex Finn
AI33%
0.66arxiv
2026-06-22
AUT_003
'Vibe coding' — the full delegation of syntactic code generation to autonomous models, with human engineers interacting purely through natural-language intent while remaining entirely abstracted from underlying programming architecture; minimalist arch...
Andrej Karpathy
AI87%
0.66arxiv
2026-06-21
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
2026-06-21
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
2026-06-21
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
2026-06-21
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
2026-06-22
229_028
Figure will NOT license out its neural net or hardware IP to third-party form-factor builders.
Brett Adcock
Robotics69%
0.66arxiv
2026-06-22
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
2026-06-21
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
2026-06-21
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%
0.66arxiv
2026-06-21
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
2026-06-21
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
2026-06-21
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
2026-06-21
238_070
Small language models will be where most algorithmic breakthroughs come from (crowdsourced)
Alex Wissner-Gross
AI42%
0.66arxiv
2026-06-21
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%
0.66arxiv
2026-06-22
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
2026-06-22
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%
0.66polymarket
2026-06-20
230_009
US GDP growth will hit triple-digit (100%+) within 5 years per Elon Musk.
Elon Musk
Macro/Economy46%
0.66manifold
2026-06-24
TK01
AGI Capability Plateau (2026-27 Training Stall)
15%
0.66manifold
2026-06-22
COD_SPC_002
The next US crewed lunar surface landing occurs on Artemis IV in 2028
Codex Research Pack
Space22%
0.66arxiv
2026-06-23
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
2026-06-23
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%
0.66arxiv
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%
0.66arxiv
2026-06-23
232_007
TikTok wins as AI enables personalized, movie-quality content in many languages, taking over from movie industry.
Dave Blundin
Media/Ads32%
0.66arxiv
2026-06-23
240_013
Sam Altman predicts another architecture breakthrough as big as transformers over LSTMs
Sam Altman
AI41%
0.66arxiv
2026-06-23
233_021
AI learning will improve via closed-loop reinforcement learning cycle making results keep increasing.
Joe Liemandt
AI30%
0.66arxiv
2026-06-23
CMQ_010
True AGI requires genuine scientific-discovery capabilities (AlphaFold-class breakthroughs) — brute-force LLM scaling alone is insufficient.
Demis Hassabis
AI49%
0.66arxiv
2026-06-23
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
2026-06-22
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%
0.66arxiv
2026-06-22
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
2026-06-23
235_037
Auto-regressive transformers and diffusion models will consolidate into one unified architecture.
Alex Wissner-Gross
AI35%
0.66arxiv
2026-06-22
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%
0.66arxiv
2026-06-23
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%
0.66arxiv
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%
0.66arxiv
2026-06-23
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
2026-06-22
INF_036
AI will develop a 'kinetic' edge where capital assets (drones, autonomous vehicles, agricultural robots, counter-intrusion systems) become software endpoints — requiring a bifurcated networking architecture: massive sovereign hyperscale DCs for trainin...
Dara Khosrowshahi
AI61%
0.66polymarket
2026-06-22
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%
0.66manifold
2026-06-25
SEM_037
For any job you can do on the other side of a screen, AI will probably be able to do it better, faster, and cheaper by next year (2026-2027).
Emad Mostaque
Labor/Jobs47%
0.66manifold
2026-06-25
SEM_036
World-class AI programmers will appear within 1-2 years (by 2027-2028).
Eric Schmidt
AI/Cognition70%
0.66arxiv
2026-06-24
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
2026-06-24
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
2026-06-24
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%
0.66arxiv
2026-06-23
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
2026-06-24
230_038
AI will be net super-humanizing long-term despite short-term substitution effects.
Alex Wissner-Gross
AI42%
0.66arxiv
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%
0.66arxiv
2026-06-23
TK01
AGI Capability Plateau (2026-27 Training Stall)
15%
0.66arxiv
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%
0.66arxiv
2026-06-24
230_029
Cognition is becoming a commodity — intelligence will flow like oil.
Alex Wissner-Gross
AI43%