Validations Queue

64,690 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 21 of 52, 50 rows by similarity. Adjudicating updates doc_node_links.reviewed=true with the chosen polarity, writes per-link rows to audit_log, and removes the row from this queue. Phase 4 inference will use confirmed corroborates/contradicts links as Bayesian evidence.

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Bulk auto-confirm by similarity threshold

Confirm or label (corroborates / contradicts) all unreviewed links above a similarity threshold in one transaction. Each affected row writes a per-link audit_log entry. Capped at 1,000 links per call. Use Preview first.

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SimDocSourcePredDomainPrior
0.61github_release
2024-09-13
CMQ_044
Future data-center architectures optimized for agentic workflows may require 1:2 or even 2:1 CPU-to-GPU ratio (vs historical 1:12) to prevent GPU idle-waiting.
Morgan Stanley
AI/Compute65%
0.61github_release
2024-09-13
COD_TECH_001
A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps
Codex Research Pack
Semis50%
0.61github_release
2026-01-07
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%
0.61github_release
2025-05-28
COD_TECH_001
A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps
Codex Research Pack
Semis50%
0.61github_release
2020-09-18
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%
0.61github_release
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%
0.61github_release
2018-12-19
CYB_009
Hardware-software alignment will force widespread foundational-codebase rewrites — exemplified by Midjourney's strategic migration from Google TPU architecture to native GPU framework, enabling hyper-fast personalization, HD generation, and massive par...
David Holz
AI77%
0.61github_release
2026-05-11
242_048
FDA will move to zero clinical trial model given enough Bayesian/computational evidence
Alex Wissner-Gross
Biotech/Longevity36%
0.61github_release
2026-02-25
CMQ_026
NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence.
Jensen Huang
Semis87%
0.61github_release
2025-10-09
241_031
Scientists don't agree yet on approach for recursive self-improvement
Eric Schmidt
AI48%
0.61github_release
2025-08-26
COD_TECH_001
A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps
Codex Research Pack
Semis50%
0.61github_release
2026-02-23
232_012
US-China AI situation about to get more complicated regarding open source models and secrets.
Ben Horowitz
Geopolitics44%
0.61github_release
2026-02-14
235_008
Anthropic/OpenAI will be forced to release first-party OpenClaw competitor in next couple months.
Alex Wissner-Gross
AI42%
0.61github_release
2026-02-14
AI_010
The 2026 development landscape has entered the 'Slopacolypse' — AI writes the vast majority of new code, developer manual-coding skills atrophy, and engineering transitions from syntax-writing to high-level architectural prompting and 'vibe coding'.
Andrej Karpathy
AI90%
0.61github_release
2025-11-04
238_025
AI computer-use benchmarks (OSWorld, Tbench) have broken through human level
Emad Mostaque
AI45%
0.61github_release
2026-04-13
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%
0.61github_release
2026-04-09
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%
0.61github_release
2026-01-13
TK11
Autonomous Regulatory Block (Level 4 Halt)
10%
0.61github_release
2025-11-24
235_037
Auto-regressive transformers and diffusion models will consolidate into one unified architecture.
Alex Wissner-Gross
AI35%
0.61github_release
2025-09-04
AI_010
The 2026 development landscape has entered the 'Slopacolypse' — AI writes the vast majority of new code, developer manual-coding skills atrophy, and engineering transitions from syntax-writing to high-level architectural prompting and 'vibe coding'.
Andrej Karpathy
AI90%
0.61github_release
2025-09-04
COD_BIO_005
Colossal adds at least one more de-extinction species to active embryo-transfer pipeline by end 2028
Codex Research Pack
Biotech/Longevity47%
0.61github_release
2025-07-28
TK01
AGI Capability Plateau (2026-27 Training Stall)
15%
0.61github_release
2024-02-22
COD_TECH_001
A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps
Codex Research Pack
Semis50%
0.61github_release
2026-05-05
239_003
We are currently in AI hard takeoff
Elon Musk
AI47%
0.61github_release
2026-03-06
CMQ_026
NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence.
Jensen Huang
Semis87%
0.61github_release
2025-12-03
CMQ_026
NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence.
Jensen Huang
Semis87%
0.61github_release
2025-01-31
COD_TECH_001
A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps
Codex Research Pack
Semis50%
0.61github_release
2018-08-31
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%
0.61github_release
2026-05-07
241_011
By end of 2026, no one will write code manually - it'll be a quaint skill
Peter Diamandis
Labor/Jobs47%
0.61github_release
2026-04-26
230_045
GDP will be replaced by an 'Abundance Capability Index' measuring capacity to solve problems.
Alex Wissner-Gross
Macro/Economy39%
0.61github_release
2026-04-06
234_048
Next major revolutions in foundation models will come from small language models
Alex Wissner-Gross
AI41%
0.61github_release
2024-10-30
229_028
Figure will NOT license out its neural net or hardware IP to third-party form-factor builders.
Brett Adcock
Robotics69%
0.61github_release
2024-09-12
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%
0.61github_release
2025-05-12
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%
0.61github_release
2025-02-28
229_047
Figure's 3,000 B200 GPU cluster is coming online for Helix pre-training with much larger GPUs planned.
Brett Adcock
AI77%
0.61github_release
2024-01-03
238_022
From here forward, training data will be synthetic (pre-training era of human internet data is over)
Alex Wissner-Gross
AI39%
0.61github_release
2026-06-01
240_020
New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI
Dave Blundin
AI46%
0.61github_release
2020-09-18
235_008
Anthropic/OpenAI will be forced to release first-party OpenClaw competitor in next couple months.
Alex Wissner-Gross
AI42%
0.61github_release
2021-03-13
SEM_022
FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development.
Dave Blundin
AI/Architecture65%
0.61github_release
2026-04-21
COD_BIO_001
FDA finalizes or materially advances AI-for-drug-submission guidance by end 2026
Codex Research Pack
Biotech/Longevity47%
0.61github_release
2026-03-23
247_057
Parameter scaling race is over; frontier labs plateauing at 10T parameters
Alex Wissner-Gross
AI41%
0.61github_release
2026-03-16
245_025
Colossal gene editing efficiency has risen from 15% industry / 40% internal to 90% at hundreds of edits
Ben Lamm
Biotech/Longevity80%
0.61github_release
2026-03-16
CYB_009
Hardware-software alignment will force widespread foundational-codebase rewrites — exemplified by Midjourney's strategic migration from Google TPU architecture to native GPU framework, enabling hyper-fast personalization, HD generation, and massive par...
David Holz
AI77%
0.61github_release
2026-02-25
COD_TECH_001
A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps
Codex Research Pack
Semis50%
0.61github_release
2025-10-07
TK11
Autonomous Regulatory Block (Level 4 Halt)
10%
0.61github_release
2026-05-04
230_046
OpenAI's Noam Brown has only ~3 months of future model access internally — dramatic capability gap with public.
Dave Blundin
AI43%
0.61github_release
2026-03-13
232_012
US-China AI situation about to get more complicated regarding open source models and secrets.
Ben Horowitz
Geopolitics44%
0.61github_release
2026-02-23
235_008
Anthropic/OpenAI will be forced to release first-party OpenClaw competitor in next couple months.
Alex Wissner-Gross
AI42%
0.61github_release
2026-02-16
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%
0.61github_release
2025-11-25
236_028
AI chatbot/AI romance trend growing unfortunately
Andrew Yang
Consumer51%