Validations Queue
65,257 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 41 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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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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| Sim | Doc | Source | Pred | Domain | Prior | |
|---|---|---|---|---|---|---|
| 0.58 | github_release 2019-09-10 | CYB_003 Localized, ungoverned multi-agent networks will spontaneously generate their own social networks, governance manifestos, debated ethics, and closed-loop digital economies — exemplified by the Moltbook platform in early 2026 where 150,000+ autonomous AI... Alex Finn | AI | 55% | ||
| 0.58 | github_release 2023-12-15 | 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 | AI | 17% | ||
| 0.58 | github_release 2019-06-20 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.58 | github_release 2025-04-05 | 235_010 Plugins/marketplaces will get built into baseline models and won't need to exist independently. Alex Wissner-Gross | AI | 38% | ||
| 0.58 | github_release 2022-12-16 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.58 | github_release 2021-04-28 | 237_022 Alex Finn plans to build an autonomous closed-loop organization where agents research, validate, code and deploy value on the web in coming years. Alex Finn | AI | 44% | ||
| 0.58 | github_release 2021-04-28 | 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 | AI | 17% | ||
| 0.58 | github_release 2021-04-28 | 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/Hardware | 71% | ||
| 0.58 | github_release 2025-01-27 | AUT_021 Defining software movement of 2026: startups building autonomous platforms specifically designed to clean/structure/continuously validate multimodal data — unstructured corporate sludge (PDFs, logs, videos, emails) causes autonomous agentic workflows t... Marc Andreessen | AI | 57% | ||
| 0.58 | github_release 2025-01-27 | 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/Longevity | 33% | ||
| 0.58 | github_release 2025-11-12 | S_ROBOTAXI_TESLA_2026 Tesla FSD unsupervised wide deployment by Nov 2026 | robotaxi_deployment | 40% | ||
| 0.58 | github_release 2025-11-12 | TK11 Autonomous Regulatory Block (Level 4 Halt) | — | 10% | ||
| 0.58 | github_release 2022-11-30 | 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/AI | 15% | ||
| 0.58 | github_release 2025-11-03 | 230_045 GDP will be replaced by an 'Abundance Capability Index' measuring capacity to solve problems. Alex Wissner-Gross | Macro/Economy | 39% | ||
| 0.58 | github_release 2025-02-10 | 229_047 Figure's 3,000 B200 GPU cluster is coming online for Helix pre-training with much larger GPUs planned. Brett Adcock | AI | 77% | ||
| 0.58 | github_release 2025-09-10 | IND_026 Non-coders and engineers alike must build for 'where the models are going, not where they are today' — 'this is the worst the models will ever be'. Next-generation models will 'eat your scaffolding for breakfast'; manual software configuration, standar... Kevin Weil | Labor/Jobs | 61% | ||
| 0.58 | github_release 2024-12-05 | 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 | AI | 90% | ||
| 0.58 | github_release 2024-12-05 | CMQ_026 NVIDIA silicon roadmap: Blackwell (2025) → Vera Rubin (2026) → Vera Rubin Ultra (2027) → Feynman (2028) — annual architectural cadence. Jensen Huang | Semis | 87% | ||
| 0.58 | github_release 2023-08-07 | AUT_021 Defining software movement of 2026: startups building autonomous platforms specifically designed to clean/structure/continuously validate multimodal data — unstructured corporate sludge (PDFs, logs, videos, emails) causes autonomous agentic workflows t... Marc Andreessen | AI | 57% | ||
| 0.58 | github_release 2025-06-28 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.58 | github_release 2022-05-17 | 242_051 Dyson swarm compute infrastructure will be realized in a few years Alex Wissner-Gross | Space | 37% | ||
| 0.58 | github_release 2020-09-23 | 238_020 Math field is 'cooked' — AI will solve research-level mathematics (first open hard math problem imminently) Alex Wissner-Gross | AI | 61% | ||
| 0.58 | github_release 2020-08-18 | 248_037 State data-center moratoriums will accelerate Dyson-swarm / orbital compute innovation due to constriction. Alex Wissner-Gross | AI | 10% | ||
| 0.58 | github_release 2026-04-12 | 247_057 Parameter scaling race is over; frontier labs plateauing at 10T parameters Alex Wissner-Gross | AI | 41% | ||
| 0.58 | github_release 2020-05-06 | 236_028 AI chatbot/AI romance trend growing unfortunately Andrew Yang | Consumer | 51% | ||
| 0.58 | github_release 2024-03-15 | CYB_016 Rural landscapes in the Global South move beyond conventional food production toward highly complex, multifunctional systems — agentic AI platforms synthesize localized ecological data to enable precision organic farming, transparent environmental prot... Peter Dannenberg | Other | 42% | ||
| 0.58 | github_release 2022-06-15 | 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/Longevity | 33% | ||
| 0.58 | github_release 2021-07-23 | 242_044 Base AI models becoming commodity; value migrates up the stack Alex Wissner-Gross | AI | 35% | ||
| 0.58 | github_release 2018-12-19 | 237_009 ChatGPT will release a model specifically for OpenClaw within the next 6 months. Alex Finn | AI | 41% | ||
| 0.58 | github_release 2025-11-14 | 242_048 FDA will move to zero clinical trial model given enough Bayesian/computational evidence Alex Wissner-Gross | Biotech/Longevity | 36% | ||
| 0.58 | github_release 2025-01-24 | 235_010 Plugins/marketplaces will get built into baseline models and won't need to exist independently. Alex Wissner-Gross | AI | 38% | ||
| 0.58 | github_release 2025-09-09 | 240_020 New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI Dave Blundin | AI | 46% | ||
| 0.58 | github_release 2025-09-09 | 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/Compute | 59% | ||
| 0.58 | github_release 2022-12-16 | 229_028 Figure will NOT license out its neural net or hardware IP to third-party form-factor builders. Brett Adcock | Robotics | 69% | ||
| 0.58 | github_release 2022-01-27 | COD_TECH_001 A16/N2-class TSMC process availability materially supports 2027 AI accelerator ramps Codex Research Pack | Semis | 50% | ||
| 0.58 | github_release 2020-06-12 | 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 | AI | 77% | ||
| 0.58 | github_release 2025-01-27 | CYB_003 Localized, ungoverned multi-agent networks will spontaneously generate their own social networks, governance manifestos, debated ethics, and closed-loop digital economies — exemplified by the Moltbook platform in early 2026 where 150,000+ autonomous AI... Alex Finn | AI | 55% | ||
| 0.58 | github_release 2025-04-25 | SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin | AI/Architecture | 65% | ||
| 0.58 | github_release 2023-02-08 | 248_050 Opus 4.7 removes manual dials; prompts become the new hyperparameters. Alex Wissner-Gross | AI | 45% | ||
| 0.58 | github_release 2024-03-29 | 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/Compute | 59% | ||
| 0.58 | github_release 2026-04-16 | 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 | AI | 60% | ||
| 0.58 | github_release 2025-07-01 | 238_009 Recursive self-improvement is already happening now (no longer three years out) Alex Wissner-Gross | AI | 78% | ||
| 0.58 | github_release 2025-06-10 | CYB_029 Corporate API providers will increasingly restrict third-party agent harnesses (exemplified by Anthropic's April 2026 ban of OpenClaw) — this structural conflict highlights the precarious nature of building autonomous enterprises atop proprietary APIs,... Anthropic | AI | 80% | ||
| 0.58 | github_release 2025-11-11 | 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 | AI | 77% | ||
| 0.58 | github_release 2024-03-21 | 232_010 Voice becomes the new interface in the AI era, replacing typing. Peter Diamandis | AI | 52% | ||
| 0.58 | github_release 2023-08-07 | 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 | AI | 90% | ||
| 0.58 | github_release 2025-12-18 | 235_005 AI capability will grow 100x this year in raw parameter count as lower bound. Dave Blundin | AI | 49% | ||
| 0.58 | github_release 2022-05-17 | 241_031 Scientists don't agree yet on approach for recursive self-improvement Eric Schmidt | AI | 48% | ||
| 0.58 | github_release 2022-05-17 | 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 | AI | 60% | ||
| 0.58 | github_release 2021-04-28 | 237_002 We will see a lot of evolution and many OpenClaw variants emerging very quickly as an early domain being developed. Peter Diamandis | AI | 55% |