Validations Queue

94,071 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 255 of 873, 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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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
0.64arxiv
2026-06-17
233_021
AI learning will improve via closed-loop reinforcement learning cycle making results keep increasing.
Joe Liemandt
AI39%
0.64arxiv
2026-06-17
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
2026-06-18
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
2026-06-17
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
2026-06-18
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
2026-06-18
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%
0.64polymarket
2026-04-06
246_022
Claude Mythos will NOT be released publicly near-term (PolyMarket ~7%).
PolyMarket
AI45%
0.64polymarket
2026-06-15
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
0.64
FDA ANDA205294: DORZOLAMIDE HYDROCHLORIDE (DORZOLAMIDE HYDROCHLORIDE) — FDC LTD
fda
2026-06-10
COD_BIO_001
FDA finalizes or materially advances AI-for-drug-submission guidance by end 2026
Codex Research Pack
Biotech/Longevity47%
0.64polymarket
2026-06-15
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
0.64polymarket
2026-06-21
S_IPO_TRILLION_2026
First $1T+ IPO in 2026
ipo_trillion_plus25%
0.64manifold
2026-06-21
235_035
Apple finally launching AI with Gemini integration at WWDC in June 2026.
Alex Wissner-Gross
AI22%
0.64manifold
2026-06-19
236_008
First $100 trillion dollar companies and multi-trillionaires will come online
Peter Diamandis
Markets/Stocks53%
0.64manifold
2026-06-23
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
Crypto34%
0.64arxiv
2026-06-22
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
2026-06-22
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%
0.64arxiv
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%
0.64arxiv
2026-06-22
235_037
Auto-regressive transformers and diffusion models will consolidate into one unified architecture.
Alex Wissner-Gross
AI35%
0.64arxiv
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%
0.64arxiv
2026-06-22
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
2026-06-22
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
2026-06-22
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%
0.64arxiv
2026-06-22
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
2026-06-22
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%
0.64arxiv
2026-06-21
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
2026-06-21
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
2026-06-22
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%
0.64arxiv
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%
0.64arxiv
2026-06-22
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
2026-06-22
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
2026-06-21
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
2026-06-21
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%
0.64arxiv
2026-06-20
SEM_022
FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development.
Dave Blundin
AI/Architecture65%
0.64arxiv
2026-06-22
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%
0.64arxiv
2026-06-22
S_ROBOTAXI_MASS_2030
Robotaxi >10% urban miles by Nov 2030
robotaxi_deployment30%
0.64arxiv
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%
0.64arxiv
2026-06-21
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%
0.64github_release
2026-04-22
CMQ_026
NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence.
Jensen Huang
Semis83%
0.64github_release
2026-03-17
SEM_022
FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development.
Dave Blundin
AI/Architecture65%
0.64arxiv
2026-06-23
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
2026-06-23
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%
0.64arxiv
2026-06-23
CMQ_049
Traditional tech giants (Apple, Meta, Microsoft) with massive existing platform distribution will capture monopolistic shares of the consumer AI agent market via deep OS-level integration.
Jason Calacanis
AI/Markets50%
0.64arxiv
2026-06-23
240_013
Sam Altman predicts another architecture breakthrough as big as transformers over LSTMs
Sam Altman
AI41%
0.64arxiv
2026-06-23
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
2026-06-23
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
2026-06-23
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%
0.64arxiv
2026-06-23
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
2026-06-23
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
2026-06-23
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
2026-06-23
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
2026-06-22
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
2026-06-23
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%
0.64arxiv
2026-06-23
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
2026-06-23
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%
0.64arxiv
2026-06-23
233_021
AI learning will improve via closed-loop reinforcement learning cycle making results keep increasing.
Joe Liemandt
AI39%
0.64arxiv
2026-06-23
S_ROBOTAXI_MASS_2030
Robotaxi >10% urban miles by Nov 2030
robotaxi_deployment30%
0.64arxiv
2026-06-23
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%
0.64github_release
2026-06-24
241_037
Chinese AI strategy will stay open source / open weights
Eric Schmidt
AI49%
0.64manifold
2026-06-25
235_005
AI capability will grow 100x this year in raw parameter count as lower bound.
Dave Blundin
AI49%
0.64manifold
2026-06-25
AUT_012
True AGI arrives 2030-2035 (5-10 years from 2026) based on advanced 'world model systems' — current LLM architecture insufficient for generalized autonomy due to lack of temporal consistency and deep reasoning; world models inherently understand/simula...
Demis Hassabis
AI38%
0.64arxiv
2026-06-24
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
2026-06-24
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
2026-06-24
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
2026-06-24
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
2026-06-24
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
2026-06-24
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
2026-06-24
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
2026-06-24
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%
0.64arxiv
2026-06-23
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%
0.64arxiv
2026-06-23
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
2026-06-23
246_041
Data centers will drive local electricity costs toward zero within ~5 years.
Alex Wissner-Gross
Energy38%
0.64arxiv
2026-06-24
231_007
AI will analyze scientific literature and shock humanity by revealing wrong turns made over the past century.
Alex Wissner-Gross
AI42%
0.64arxiv
2026-06-24
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
2026-06-24
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
2026-06-24
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%
0.64arxiv
2026-06-23
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%
0.64polymarket
2026-06-21
246_004
SpaceX will come out at $2T and run up very quickly to $3T.
Peter Diamandis
Markets/Stocks50%
0.64polymarket
2026-06-26
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%
0.64polymarket
2026-06-22
S_IPO_TRILLION_2026
First $1T+ IPO in 2026
ipo_trillion_plus25%
0.64arxiv
2026-06-25
S_HUMANOID_CONSUMER_2030
Humanoid R3: 1M+ consumer by Nov 2030
humanoid_deployment20%
0.64arxiv
2026-06-25
235_037
Auto-regressive transformers and diffusion models will consolidate into one unified architecture.
Alex Wissner-Gross
AI35%
0.64arxiv
2026-06-25
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
2026-06-25
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
2026-06-25
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
2026-06-25
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
2026-06-25
INF_026
'Software 3.0' LLM infrastructure will operate like public utilities — requiring massive upfront capex (training compute, specialized hardware), specialized networking protocols for synchrony across hundreds of thousands of GPUs, and flawless uninterru...
Andrej Karpathy
AI70%
0.64arxiv
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%
0.64arxiv
2026-06-24
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
2026-06-24
IND_015
Integration of open agentic systems drives near-term 'economic inversion' — arrival of 'AI CEO' in 2026: autonomous algorithmic systems capable of directing capital and labor so efficiently they accumulate billionaire-level wealth. Open-source AI acts ...
Emad Mostaque
Macro/Economy26%
0.64arxiv
2026-06-24
238_070
Small language models will be where most algorithmic breakthroughs come from (crowdsourced)
Alex Wissner-Gross
AI42%
0.64arxiv
2026-06-25
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
2026-06-25
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
2026-06-25
238_070
Small language models will be where most algorithmic breakthroughs come from (crowdsourced)
Alex Wissner-Gross
AI42%
0.64arxiv
2026-06-25
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
2026-06-24
238_071
Future AI models may compress all human knowledge into megabytes via post-transformer breakthroughs
Alex Wissner-Gross
AI35%
0.64arxiv
2026-06-24
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
2026-06-25
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
2026-06-25
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
2026-06-25
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
2026-06-25
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%