Validations Queue

94,964 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 274 of 881, 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
2026-06-10
SEM_022
FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development.
Dave Blundin
AI/Architecture65%
0.64arxiv
2026-06-10
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
2026-06-10
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%
0.64arxiv
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
2026-06-09
233_021
AI learning will improve via closed-loop reinforcement learning cycle making results keep increasing.
Joe Liemandt
AI39%
0.64arxiv
2026-06-09
238_070
Small language models will be where most algorithmic breakthroughs come from (crowdsourced)
Alex Wissner-Gross
AI42%
0.64arxiv
2026-06-09
CYB_002
Despite raw agentic tool-use benchmarks tracking ahead of schedule, the enterprise reality involves significant operational friction — the 'integration schlep' — characterized by legacy software incompatibilities, rigid corporate bureaucracies, and per...
Leopold Aschenbrenner
Macro/Economy85%
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
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
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%
0.64github_release
2025-08-26
247_057
Parameter scaling race is over; frontier labs plateauing at 10T parameters
Alex Wissner-Gross
AI41%
0.64polymarket
2026-06-06
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
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
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%
0.64arxiv
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_025
Per Deep Utopia (2024): successful deployment of highly capable autonomous systems will generate unintended consequences forcing complete reevaluation of human purpose, economics, justice — as AI solves material scarcity + physical labor constraints, h...
Nick Bostrom
AI40%
0.64arxiv
2026-06-11
248_023
Ternary (sub-bit) parameter precision will be optimal for AI models.
Dave Blundin
AI50%
0.64arxiv
2026-06-11
SEM_022
FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development.
Dave Blundin
AI/Architecture65%
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
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
2026-06-11
232_044
There will be police agents, defense agents, and public health agents monitoring rogue AI agents via defensive co-scaling.
Alex Wissner-Gross
AI42%
0.64arxiv
2026-06-11
238_025
AI computer-use benchmarks (OSWorld, Tbench) have broken through human level
Emad Mostaque
AI45%
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
2026-06-10
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
2026-06-10
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
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
2026-06-11
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
2026-06-11
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
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
2026-06-10
SEM_022
FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development.
Dave Blundin
AI/Architecture65%
0.64arxiv
2026-06-10
FUT_021
Uncontrolled recursive self-improvement by AGI requires vast uninterrupted physical infrastructure, flawless power grids, perfect global supply chains for advanced semiconductors. In Zeihan-Bremmer world (severe demographic labor shortages, fragmented ...
Superforecaster Community
AI46%
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_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
2026-06-11
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
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
235_037
Auto-regressive transformers and diffusion models will consolidate into one unified architecture.
Alex Wissner-Gross
AI35%
0.64arxiv
2026-06-10
238_070
Small language models will be where most algorithmic breakthroughs come from (crowdsourced)
Alex Wissner-Gross
AI42%
0.64arxiv
2026-06-11
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
2026-06-07
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
0.64manifold
2026-06-13
246_022
Claude Mythos will NOT be released publicly near-term (PolyMarket ~7%).
PolyMarket
AI45%
0.64polymarket
2026-06-08
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
0.64polymarket
2026-06-08
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
0.64manifold
2026-06-13
232_021
No chance AI will be paused in the next three years given current administration and China competition.
Dave Blundin
Geopolitics75%
0.64manifold
2026-06-15
238_017
Uber will automate approximately 30% of its employment this year (2026)
Dara Khosrowshahi
Labor/Jobs51%
0.64github_release
2020-11-11
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
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
2026-06-15
240_013
Sam Altman predicts another architecture breakthrough as big as transformers over LSTMs
Sam Altman
AI41%
0.64arxiv
2026-06-15
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%
0.64arxiv
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
2026-06-14
AI_025
Most current generative AI wrappers are transient — they will fade into the background as infrastructure layers, analogous to Radio Shack fading in the Windows/PC era; winners will be infrastructure and verticalized depth plays, not thin API-wrapper apps.
Mark Cuban
AI60%
0.64arxiv
2026-06-14
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
2026-06-14
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
2026-06-14
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
AI_005
Current frontier models suffer from 'jagged intelligence' — excelling at international mathematics olympiads while simultaneously failing rudimentary arithmetic and spatial logic; true AGI requires smoothing these jagged edges via continual learning, d...
Demis Hassabis
AI83%
0.64arxiv
2026-06-15
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
2026-06-15
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
2026-06-15
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
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%
0.64arxiv
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
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
ROB_025
Genomic prediction will be entirely revolutionized by high-throughput phenotyping — utilizing swarms of drones and physical robots to collect orders of magnitude more trait information than historically possible by human scientists; Bayesian optimizati...
Peter Dannenberg
Biotech/Longevity70%
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
2026-06-15
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
235_037
Auto-regressive transformers and diffusion models will consolidate into one unified architecture.
Alex Wissner-Gross
AI35%
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%
0.64arxiv
2026-06-15
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
2026-06-15
SEM_049
AI will soon fully automate software engineering, achieving massive cost reductions via iterative self-improvement.
Alex Wissner-Gross
AI/Software56%
0.64arxiv
2026-06-14
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
ROB_012
The ultimate bottleneck for global robotics deployment is NOT software architecture but physical GPU hardware — nearly all advanced AI chips are manufactured in Taiwan; the entire trajectory of global automation and the timeline to the singularity is p...
David Holz
Semis71%
0.64arxiv
2026-06-15
S_ROBOTAXI_MASS_2030
Robotaxi >10% urban miles by Nov 2030
robotaxi_deployment30%
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
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
2026-06-15
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
2026-06-14
229_044
Positive transfer learning will continue to emerge, meaning more diverse data makes Figure robots broadly better at many tasks.
Brett Adcock
AI35%
0.64
FDA ANDA209286: DIVALPROEX SODIUM (DIVALPROEX SODIUM) — LUPIN
fda
2026-06-11
COD_BIO_001
FDA finalizes or materially advances AI-for-drug-submission guidance by end 2026
Codex Research Pack
Biotech/Longevity47%
0.64
FDA BLA761119: VYEPTI (EPTINEZUMAB-JJMR) — Lundbeck Seattle BioPharmaceuticals, Inc.
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%
0.64polymarket
2026-06-11
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
0.64polymarket
2026-06-11
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
0.64polymarket
2026-06-16
S_IPO_TRILLION_2026
First $1T+ IPO in 2026
ipo_trillion_plus25%
0.64arxiv
2026-06-16
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
2026-06-16
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%
0.64arxiv
2026-06-16
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
2026-06-16
CYB_002
Despite raw agentic tool-use benchmarks tracking ahead of schedule, the enterprise reality involves significant operational friction — the 'integration schlep' — characterized by legacy software incompatibilities, rigid corporate bureaucracies, and per...
Leopold Aschenbrenner
Macro/Economy85%
0.64arxiv
2026-06-16
FUT_001
Algorithmic systems (LLMs) will match the accuracy of the world's most elite human superforecasters by November 2026 per ForecastBench linear-extrapolation of current learning curves; 95% CI stretches Dec 2025 to Jan 2028. Validation metric: LLMs achie...
Superforecaster Community
AI48%
0.64arxiv
2026-06-16
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
2026-06-16
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
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
238_070
Small language models will be where most algorithmic breakthroughs come from (crowdsourced)
Alex Wissner-Gross
AI42%
0.64arxiv
2026-06-16
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
2026-06-16
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
2026-06-16
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
248_022
Deepseek-style hyperdeflation moments from algorithmic innovation will become more frequent but less effective at causing price swings.
Alex Wissner-Gross
Markets/Stocks42%
0.64arxiv
2026-06-16
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
2026-06-16
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
2026-06-15
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
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
2026-06-16
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
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
2026-06-16
INF_008
Leading AI model intelligence has been improving by roughly 2.5 IQ points per month since May 2024 — a sustained compounding rate that rapidly surpasses human-level baselines and mandates continuous hardware refresh cycles.
Alex Wissner-Gross
AI39%