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86,658 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 187 of 403, 200 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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SimDocSourcePredDomainPrior
0.62arxiv
2026-06-01
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%
0.62arxiv
2026-06-01
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%
0.62arxiv
2026-06-01
247_050
Virtual cell achievable through classical scaling without quantum computing
Alex Wissner-Gross
Biotech/Longevity44%
0.62arxiv
2026-06-01
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%
0.62arxiv
2026-06-01
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%
0.62arxiv
2026-06-01
248_012
AI incidents documented harms will go up way higher beyond the already-reported rise.
Dave Blundin
AI50%
0.62arxiv
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%
0.62arxiv
2026-05-31
SEM_012
Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) across engineering.
Jensen Huang
AI/Manufacturing75%
0.62arxiv
2026-05-31
240_033
AI will compress decades of research into years, months, weeks
Salim Ismail
AI42%
0.62arxiv
2026-05-31
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%
0.62github_release
2023-10-19
S_HUMANOID_CONSUMER_2030
Humanoid R3: 1M+ consumer by Nov 2030
humanoid_deployment20%
0.62github_release
2020-01-21
COD_TECH_001
A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps
Codex Research Pack
Semis50%
0.62github_release
2019-06-14
242_051
Dyson swarm compute infrastructure will be realized in a few years
Alex Wissner-Gross
Space37%
0.62polymarket
2026-05-25
246_022
Claude Mythos will NOT be released publicly near-term (PolyMarket ~7%).
PolyMarket
AI45%
0.62manifold
2026-06-02
236_007
US GDP per capita will break $90K and then $100K in relatively near future
Andrew Yang
Macro/Economy50%
0.62
FDA ANDA062943: CLINDAMYCIN PHOSPHATE (CLINDAMYCIN PHOSPHATE) — ALMAJECT
fda
2026-05-28
COD_BIO_001
FDA finalizes or materially advances AI-for-drug-submission guidance by end 2026
Codex Research Pack
Biotech/Longevity47%
0.62polymarket
2026-05-29
SEM_039
Block unveiled proprietary Bitcoin mining ASIC at 709 Terahashes/second (TH/s) — leading indicator for eventual AI inference ASIC trajectory.
Jack Dorsey
Semis/ASICs83%
0.62polymarket
2026-06-01
S_IPO_TRILLION_2026
First $1T+ IPO in 2026
ipo_trillion_plus25%
0.62polymarket
2026-06-01
231_051
Entire generation growing up with crypto (Ethereum, Bitcoin) as means of exchange will have near-zero switching cost.
Salim Ismail
Crypto48%
0.62polymarket
2026-05-26
246_001
SpaceX will IPO at $2 trillion valuation, raising $75 billion as largest IPO in history.
Peter Diamandis
Markets/Stocks79%
0.62polymarket
2026-05-25
S_IPO_TRILLION_2026
First $1T+ IPO in 2026
ipo_trillion_plus25%
0.62manifold
2026-06-04
242_023
World will have 10x more wealth around 2034-2036
Dave Blundin
Macro/Economy34%
0.62manifold
2026-06-02
232_047
Mass drivers on the moon will shoot AI satellites into deep space; self-sustaining lunar city will follow.
Elon Musk
Space30%
0.62edgar_8k
2026-06-04
IND_005
Convergence of computational biology + AI-driven data modeling + CRISPR gene editing enables bringing back extinct species — Form Bio platform (spun out 2022) enables successful resurrection of woolly mammoth and Tasmanian tiger within the decade (by ~...
Ben Lamm
Biotech/Longevity33%
0.62edgar_8k
2026-06-04
SEM_014
Nvidia's Arizona-based TSMC factory successfully fabricated cutting-edge semiconductors on US soil for first time in decades (October 2025).
Jensen Huang
Manufacturing86%
0.62github_release
2026-06-04
248_038
We will see humanoid robot threats alongside the current Sam Altman backlash.
Salim Ismail
Robotics34%
0.62arxiv
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%
0.62arxiv
2026-06-04
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%
0.62arxiv
2026-06-04
S_ROBOTAXI_MASS_2030
Robotaxi >10% urban miles by Nov 2030
robotaxi_deployment30%
0.62arxiv
2026-06-04
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%
0.62arxiv
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%
0.62arxiv
2026-06-04
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%
0.62arxiv
2026-06-04
238_070
Small language models will be where most algorithmic breakthroughs come from (crowdsourced)
Alex Wissner-Gross
AI42%
0.62arxiv
2026-06-04
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%
0.62arxiv
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%
0.62arxiv
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%
0.62arxiv
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%
0.62arxiv
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%
0.62arxiv
2026-06-04
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%
0.62arxiv
2026-06-04
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%
0.62arxiv
2026-06-04
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%
0.62arxiv
2026-06-04
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%
0.62arxiv
2026-06-03
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%
0.62arxiv
2026-06-04
238_071
Future AI models may compress all human knowledge into megabytes via post-transformer breakthroughs
Alex Wissner-Gross
AI35%
0.62arxiv
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%
0.62arxiv
2026-06-04
230_038
AI will be net super-humanizing long-term despite short-term substitution effects.
Alex Wissner-Gross
AI42%
0.62arxiv
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%
0.62arxiv
2026-06-03
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%
0.62arxiv
2026-06-03
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%
0.62arxiv
2026-06-03
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%
0.62arxiv
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%
0.62arxiv
2026-06-03
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%
0.62arxiv
2026-06-03
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%
0.62polymarket
2026-06-03
S_IPO_TRILLION_2026
First $1T+ IPO in 2026
ipo_trillion_plus25%
0.62manifold
2026-06-06
TK10
$100T Sovereign Debt Crisis
12%
0.62manifold
2026-06-06
SEM_030
S&P 500 roughly 10% upside in 2026 driven by AI productivity wave rolling through broader economy (not just megacap).
Mike Wilson
Capital Markets43%
0.62
FDA ANDA217482: CARBIDOPA AND LEVODOPA (CARBIDOPA) — RUBICON RESEARCH
fda
2026-05-28
242_048
FDA will move to zero clinical trial model given enough Bayesian/computational evidence
Alex Wissner-Gross
Biotech/Longevity36%
0.62polymarket
2026-06-03
S_IPO_TRILLION_2026
First $1T+ IPO in 2026
ipo_trillion_plus25%
0.62github_release
2022-04-22
241_028
US losing electric vehicle industry to China was an error that will repeat in robotics unless addressed
Eric Schmidt
Geopolitics48%
0.62github_release
2021-03-13
242_044
Base AI models becoming commodity; value migrates up the stack
Alex Wissner-Gross
AI35%
0.62github_release
2021-03-13
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%
0.62arxiv
2026-06-05
S_ROBOTAXI_MASS_2030
Robotaxi >10% urban miles by Nov 2030
robotaxi_deployment30%
0.62arxiv
2026-06-05
COD_BIO_002
An AI-designed Isomorphic or peer drug enters or completes Phase 1 by end 2027
Codex Research Pack
Biotech/Longevity50%
0.62arxiv
2026-06-05
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%
0.62arxiv
2026-06-05
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%
0.62arxiv
2026-06-05
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%
0.62arxiv
2026-06-05
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%
0.62arxiv
2026-06-05
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%
0.62arxiv
2026-06-05
CYB_026
The initial assumption that the United States can maintain a durable long-term 'moat' based purely on proprietary algorithms and compute concentration has been heavily challenged — rapid uncontrollable diffusion of highly capable open-source models (De...
Leopold Aschenbrenner
Geopolitics77%
0.62arxiv
2026-06-05
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%
0.62arxiv
2026-06-05
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%
0.62polymarket
2026-04-06
240_046
Public interest in any alien disclosure will fade within one or two days
Alex Wissner-Gross
Media/Ads43%
0.62edgar_8k
2026-06-08
SEM_018
SMIC (China) projected at only 100,000 wafers/month of advanced-process capacity by 2026 — severe constraint forcing algorithmic bypasses.
SMIC (All-In Podcast analysis)
Semis47%
0.62
FDA NDA220787: ZAYNICH (CEFEPIME HYDROCHLORIDE) — WOCKHARDT BIO AG
fda
2026-05-29
COD_BIO_001
FDA finalizes or materially advances AI-for-drug-submission guidance by end 2026
Codex Research Pack
Biotech/Longevity47%
0.62
FDA ANDA219099: ROMIDEPSIN (ROMIDEPSIN) — AMNEAL
fda
2026-06-02
COD_BIO_001
FDA finalizes or materially advances AI-for-drug-submission guidance by end 2026
Codex Research Pack
Biotech/Longevity47%
0.62
FDA ANDA215939: OXCARBAZEPINE (OXCARBAZEPINE) — ANNORA PHARMA
fda
2026-05-28
242_048
FDA will move to zero clinical trial model given enough Bayesian/computational evidence
Alex Wissner-Gross
Biotech/Longevity36%
0.62polymarket
2026-05-21
246_022
Claude Mythos will NOT be released publicly near-term (PolyMarket ~7%).
PolyMarket
AI45%
0.62manifold
2026-06-09
234_036
Job displacement will be issue 6-10 not top 5 in 10 years; AI discoveries will dominate
Alex Wissner-Gross
Labor/Jobs29%
0.62manifold
2026-06-09
247_006
Anthropic ARR will reach $100 billion by end of 2026
Peter Diamandis
AI50%
0.62manifold
2026-06-09
TK04
Macro Recession 2026-27 (Structural Deleveraging)
25%
0.62manifold
2026-06-08
238_005
By September 2026 there will be 1000+ ultra-high-inspirational-quality videos of the future generated nearly free
Alex Wissner-Gross
AI39%
0.62edgar_8k
2026-06-09
SEM_020
Nvidia preemptively reserved 800,000-850,000 TSMC wafers for 2026 — 8x SMIC's entire advanced-process capacity.
Nvidia (All-In Podcast analysis)
Semis74%
0.62edgar_8k
2026-06-09
SEM_014
Nvidia's Arizona-based TSMC factory successfully fabricated cutting-edge semiconductors on US soil for first time in decades (October 2025).
Jensen Huang
Manufacturing86%
0.62arxiv
2026-06-08
238_071
Future AI models may compress all human knowledge into megabytes via post-transformer breakthroughs
Alex Wissner-Gross
AI35%
0.62arxiv
2026-06-08
245_031
99% of synthetic biology focus will remain on human healthcare; similar tech applies more broadly
Ben Lamm
Biotech/Longevity41%
0.62arxiv
2026-06-08
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%
0.62arxiv
2026-06-08
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%
0.62arxiv
2026-06-08
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%
0.62arxiv
2026-06-08
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%
0.62arxiv
2026-06-08
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%
0.62arxiv
2026-06-08
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%
0.62arxiv
2026-06-08
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%
0.62arxiv
2026-06-08
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%
0.62arxiv
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%
0.62arxiv
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%
0.62arxiv
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%
0.62arxiv
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%
0.62arxiv
2026-06-07
242_059
Self-flying eVTOLs will be the norm given AI safety advantages
Dave Blundin
Auto/Transport45%
0.62arxiv
2026-06-08
SEM_022
FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development.
Dave Blundin
AI/Architecture65%
0.62arxiv
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%
0.62arxiv
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%
0.62arxiv
2026-06-08
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%
0.62arxiv
2026-06-08
CMQ_050
Physical embodied AI represents the 'Fourth Wave' of AI development — projected to scale rapidly and commercially between 2025-2030.
Industry analysts (synthesis)
Robotics41%
0.62arxiv
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%
0.62arxiv
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%
0.62arxiv
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%
0.62arxiv
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%
0.62arxiv
2026-06-08
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%
0.62arxiv
2026-06-07
SEM_022
FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development.
Dave Blundin
AI/Architecture65%
0.62arxiv
2026-06-07
247_050
Virtual cell achievable through classical scaling without quantum computing
Alex Wissner-Gross
Biotech/Longevity44%
0.62arxiv
2026-06-07
248_048
AI models will move to a post-binary (sub-one-bit) numerical precision paradigm.
Alex Wissner-Gross
AI34%
0.62arxiv
2026-06-08
234_048
Next major revolutions in foundation models will come from small language models
Alex Wissner-Gross
AI41%
0.62arxiv
2026-06-08
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%
0.62arxiv
2026-06-07
232_007
TikTok wins as AI enables personalized, movie-quality content in many languages, taking over from movie industry.
Dave Blundin
Media/Ads45%
0.62arxiv
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%
0.62arxiv
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%
0.62arxiv
2026-06-08
S_HUMANOID_CONSUMER_2030
Humanoid R3: 1M+ consumer by Nov 2030
humanoid_deployment20%
0.62arxiv
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%
0.62
FDA ANDA040385: TREXALL (METHOTREXATE SODIUM) — BARR
fda
2026-05-27
COD_BIO_001
FDA finalizes or materially advances AI-for-drug-submission guidance by end 2026
Codex Research Pack
Biotech/Longevity47%
0.62
FDA ANDA040078: LIDOCAINE HYDROCHLORIDE (LIDOCAINE HYDROCHLORIDE) — HOSPIRA
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%
0.62polymarket
2025-12-26
SEM_030
S&P 500 roughly 10% upside in 2026 driven by AI productivity wave rolling through broader economy (not just megacap).
Mike Wilson
Capital Markets43%
0.62polymarket
2026-06-06
246_022
Claude Mythos will NOT be released publicly near-term (PolyMarket ~7%).
PolyMarket
AI45%
0.62arxiv
2026-06-09
IND_003
Latency of medical truth actively collapsing — genomic sequencing for newborns in neonatal intensive care units (NICUs) reduced to a 4-hour window, effectively moving diagnostics from 'wait and see' paradigm to real-time intervention; convergence of ph...
Alex Wissner-Gross
Biotech/Longevity46%
0.62arxiv
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%
0.62arxiv
2026-06-09
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%
0.62arxiv
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%
0.62arxiv
2026-06-09
233_021
AI learning will improve via closed-loop reinforcement learning cycle making results keep increasing.
Joe Liemandt
AI39%
0.62arxiv
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%
0.62arxiv
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%
0.62arxiv
2026-06-09
235_037
Auto-regressive transformers and diffusion models will consolidate into one unified architecture.
Alex Wissner-Gross
AI35%
0.62arxiv
2026-06-08
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%
0.62arxiv
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%
0.62arxiv
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%
0.62arxiv
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%
0.62arxiv
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%
0.62arxiv
2026-06-09
229_044
Positive transfer learning will continue to emerge, meaning more diverse data makes Figure robots broadly better at many tasks.
Brett Adcock
AI35%
0.62arxiv
2026-06-08
235_037
Auto-regressive transformers and diffusion models will consolidate into one unified architecture.
Alex Wissner-Gross
AI35%
0.62arxiv
2026-06-08
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%
0.62arxiv
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%
0.62arxiv
2026-06-08
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%
0.62arxiv
2026-06-08
235_037
Auto-regressive transformers and diffusion models will consolidate into one unified architecture.
Alex Wissner-Gross
AI35%
0.62arxiv
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%
0.62arxiv
2026-06-09
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%
0.62arxiv
2026-06-09
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%
0.62arxiv
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%
0.62arxiv
2026-06-08
232_015
AI will discover something as significant as relativity in physics within the next two years.
Dave Blundin
AI45%
0.62
FDA ANDA072854: CYCLOBENZAPRINE HYDROCHLORIDE (CYCLOBENZAPRINE HYDROCHLORIDE) — AIPING PHARM INC
fda
2026-05-13
242_048
FDA will move to zero clinical trial model given enough Bayesian/computational evidence
Alex Wissner-Gross
Biotech/Longevity36%
0.62github_release
2026-06-10
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%
0.62polymarket
2026-04-06
232_021
No chance AI will be paused in the next three years given current administration and China competition.
Dave Blundin
Geopolitics75%
0.62polymarket
2026-04-06
240_046
Public interest in any alien disclosure will fade within one or two days
Alex Wissner-Gross
Media/Ads43%
0.62polymarket
2026-04-06
246_022
Claude Mythos will NOT be released publicly near-term (PolyMarket ~7%).
PolyMarket
AI45%
0.62manifold
2026-06-10
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%
0.62arxiv
2026-06-10
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%
0.62arxiv
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%
0.62arxiv
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%
0.62arxiv
2026-06-10
238_070
Small language models will be where most algorithmic breakthroughs come from (crowdsourced)
Alex Wissner-Gross
AI42%
0.62arxiv
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%
0.62arxiv
2026-06-10
235_037
Auto-regressive transformers and diffusion models will consolidate into one unified architecture.
Alex Wissner-Gross
AI35%
0.62arxiv
2026-06-10
230_029
Cognition is becoming a commodity — intelligence will flow like oil.
Alex Wissner-Gross
AI43%
0.62arxiv
2026-06-10
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%
0.62arxiv
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%
0.62arxiv
2026-06-09
237_001
Increased hacker profile and AI-driven social engineering attacks will become more and more prevalent.
Peter Diamandis
AI55%
0.62arxiv
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%
0.62arxiv
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%
0.62arxiv
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%
0.62arxiv
2026-06-10
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%
0.62arxiv
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%
0.62arxiv
2026-06-10
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%
0.62arxiv
2026-06-09
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%
0.62arxiv
2026-06-10
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%
0.62arxiv
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%
0.62arxiv
2026-06-09
238_070
Small language models will be where most algorithmic breakthroughs come from (crowdsourced)
Alex Wissner-Gross
AI42%
0.62arxiv
2026-06-10
SPC_015
AI will continuously analyze orbital trajectories of active satellites and space debris to predict collisions with superhuman accuracy — upon identifying collision risks, AI systems will autonomously command satellite Hall-effect thrusters to adjust or...
Andrej Karpathy
Space72%
0.62arxiv
2026-06-10
AI_006
True autonomous agents are 'not anywhere close' — AGI and reliable long-horizon agents will require a full decade (2034 or beyond) to develop the holistic contextual reasoning and robust world models needed for unconstrained physical and digital enviro...
Andrej Karpathy
AI38%
0.62arxiv
2026-06-10
241_019
AI scaling laws have not hit an asymptote yet
Eric Schmidt
AI51%
0.62github_release
2026-02-25
247_057
Parameter scaling race is over; frontier labs plateauing at 10T parameters
Alex Wissner-Gross
AI41%
0.62github_release
2026-02-25
TK11
Autonomous Regulatory Block (Level 4 Halt)
10%
0.62polymarket
2026-04-06
246_022
Claude Mythos will NOT be released publicly near-term (PolyMarket ~7%).
PolyMarket
AI45%
0.62manifold
2026-06-12
241_011
By end of 2026, no one will write code manually - it'll be a quaint skill
Peter Diamandis
Labor/Jobs47%
0.62edgar_8k
2026-06-12
SEM_020
Nvidia preemptively reserved 800,000-850,000 TSMC wafers for 2026 — 8x SMIC's entire advanced-process capacity.
Nvidia (All-In Podcast analysis)
Semis74%
0.62arxiv
2026-06-11
247_050
Virtual cell achievable through classical scaling without quantum computing
Alex Wissner-Gross
Biotech/Longevity44%
0.62arxiv
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%
0.62arxiv
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%
0.62arxiv
2026-06-11
232_008
Real-time AI video generation will break any video/voice-based security mechanisms.
Ben Horowitz
AI46%
0.62arxiv
2026-06-10
233_021
AI learning will improve via closed-loop reinforcement learning cycle making results keep increasing.
Joe Liemandt
AI39%
0.62arxiv
2026-06-11
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%
0.62arxiv
2026-06-11
235_037
Auto-regressive transformers and diffusion models will consolidate into one unified architecture.
Alex Wissner-Gross
AI35%
0.62arxiv
2026-06-11
SEM_039
Block unveiled proprietary Bitcoin mining ASIC at 709 Terahashes/second (TH/s) — leading indicator for eventual AI inference ASIC trajectory.
Jack Dorsey
Semis/ASICs83%
0.62arxiv
2026-06-11
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%
0.62arxiv
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%
0.62arxiv
2026-06-11
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%
0.62arxiv
2026-06-11
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%
0.62arxiv
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%
0.62arxiv
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%
0.62arxiv
2026-06-11
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%
0.62arxiv
2026-06-11
229_044
Positive transfer learning will continue to emerge, meaning more diverse data makes Figure robots broadly better at many tasks.
Brett Adcock
AI35%
0.62arxiv
2026-06-10
238_070
Small language models will be where most algorithmic breakthroughs come from (crowdsourced)
Alex Wissner-Gross
AI42%
0.62arxiv
2026-06-11
238_070
Small language models will be where most algorithmic breakthroughs come from (crowdsourced)
Alex Wissner-Gross
AI42%
0.62arxiv
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%
0.62arxiv
2026-06-11
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%