[{"date":"Aug 24, 2026","permalink":"https://www.eigenform.ai/insights/which-ai-model-is-best-for-your-geology/","summary":"TL;DR\nArgues that standard academic AI benchmarks are stale (\u0026ldquo;an exam paper everyone has had …","tags":["AI","Benchmarking","Geology"],"title":"Which AI Model Is Best for Your Geology?"},{"date":"Aug 20, 2026","permalink":"https://www.eigenform.ai/insights/how-not-to-build-a-slop-cannon/","summary":"TL;DR\nArgues against the instinct to fix agent errors by stacking more warnings into the prompt or …","tags":["AI","Geology"],"title":"How Not to Build a Slop Cannon"},{"date":"Aug 13, 2026","permalink":"https://www.eigenform.ai/insights/macrotrends-to-watch-out/","summary":"TL;DR\nCites a recent preprint on AI for Mineral Exploration surveying how classical machine …","tags":["AI","Geology"],"title":"Macrotrends to Watch Out for in the AI Exploration Space"},{"date":"Aug 10, 2026","permalink":"https://www.eigenform.ai/insights/geological-map-processing-suite/","summary":"TL;DR\nGeological maps are difficult VLM inputs beyond sheer scale: a map sheet\u0026rsquo;s legend, …","tags":["AI","Geology"],"title":"Geological Map Processing Suite"},{"date":"Aug 10, 2026","permalink":"https://www.eigenform.ai/insights/how-reports-from-the-future-draws-its-star-maps/","summary":"TL;DR\nReports From The Future maps AI-related vocabulary as it emerges, aiming to spot …","tags":["AI","Data Visualization"],"title":"How Reports From The Future Draws Its Star Maps"},{"date":"Jul 31, 2026","permalink":"https://www.eigenform.ai/insights/groundtruth-dynamic-benchmarking-geology-edition-v1.0.0/","summary":"TL;DR\nAnnounces v1.0.0 of the Groundtruth Dynamic Benchmarking System on GitHub: not a fixed set of …","tags":["AI","Benchmarking","Geology"],"title":"Groundtruth Dynamic Benchmarking (Geology Edition) v1.0.0 Is Live"},{"date":"Jul 31, 2026","permalink":"https://www.eigenform.ai/insights/ground-truth-dynamic-benchmarking-in-highly-specific-fields/","summary":"TL;DR\nStandard benchmarks like IMO results or HumanEval work for general skills, but don\u0026rsquo;t …","tags":["AI","Benchmarking","Geology"],"title":"Ground Truth: Dynamic Benchmarking in Highly Specific Fields"},{"date":"Jul 31, 2026","permalink":"https://www.eigenform.ai/insights/dynamic-benchmarking-how-we-did-it/","summary":"TL;DR\nThe post documents building a benchmark to check whether a LoRA adapter fine-tuned on regional …","tags":["AI","Benchmarking","Geology"],"title":"Dynamic Benchmarking: How We Did It"},{"date":"Jul 27, 2026","permalink":"https://www.eigenform.ai/insights/meet-the-geocluster-research-harness/","summary":"TL;DR\nOpen-sources the Geocluster Research Harness under Apache-2.0: a browser-based, VS Code-style …","tags":["AI","Geology","Open Source"],"title":"Meet the Geocluster Research Harness"},{"date":"Jul 21, 2026","permalink":"https://www.eigenform.ai/insights/survival-is-the-only-reward-the-observer-effect-in-ai-benchmarking/","summary":"TL;DR\nFrames the core problem as benchmarking an agent whose reward is an emergent property of a …","tags":["AI","Benchmarking","Negative-Space Learning"],"title":"Survival is the Only Reward: The Observer Effect in AI Benchmarking"},{"date":"Feb 09, 2026","permalink":"https://www.eigenform.ai/insights/feralisation/","summary":"TL;DR\nDomestication produces bundled \u0026ldquo;vector\u0026rdquo; traits beyond the one selected for, and …","tags":["AI","Philosophy"],"title":"Feralisation"},{"date":"Jan 27, 2026","permalink":"https://www.eigenform.ai/insights/survival-is-the-only-reward/","summary":"TL;DR\nDescribes a five-year project to build an \u0026ldquo;evolutionary\u0026rdquo; LLM that survives by …","tags":["AI","Reinforcement Learning"],"title":"Survival is the Only Reward"},{"date":"Jan 18, 2026","permalink":"https://www.eigenform.ai/insights/arxiv-survival-is-the-only-reward/","summary":"TL;DR\nSelf-training systems typically degenerate because they lack an external criterion for judging …","tags":["AI","Reinforcement Learning"],"title":"Survival is the Only Reward: Sustainable Self-Training Through Environment-Mediated Selection"},{"date":"Oct 07, 2025","permalink":"https://www.eigenform.ai/insights/machine-learnability-as-a-measure-of-order/","summary":"TL;DR\nOpens from a philosophy-of-maths framing (is maths invented or discovered) to justify treating …","tags":["AI","Machine Learning"],"title":"Machine Learnability as a Measure of Order "},{"date":"Sep 09, 2025","permalink":"https://www.eigenform.ai/insights/arxiv-machine-learnability/","summary":"TL;DR\nPrime number distribution is deterministic in definition but behaves statistically like a …","tags":["AI","Machine Learning","Number Theory"],"title":"Machine Learnability as a Measure of Order in Aperiodic Sequences"},{"date":"Apr 07, 2025","permalink":"https://www.eigenform.ai/insights/arxiv-generalising-from-self-produced-data/","summary":"TL;DR\nCurrent LLMs are bounded by human-derived training data and by a single level of abstraction …","tags":["AI","Machine Learning","Reinforcement Learning"],"title":"Generalising from Self-Produced Data: Model Training Beyond Human Constraints"},{"date":"Feb 15, 2025","permalink":"https://www.eigenform.ai/insights/defining-t-schemas-via-the-parametric-encoding-of-second-order-languages-in-ai-models/","summary":"TL;DR\nThe article argues that AI models cannot verify truth from purely within their own formal …","tags":["AI","Machine Learning","Grokking"],"title":"Defining T-Schemas via the Parametric Encoding of Second Order Languages in AI Models"},{"date":"Oct 17, 2023","permalink":"https://www.eigenform.ai/insights/learning-the-language-of-rain/","summary":"TL;DR\nCompares Huawei\u0026rsquo;s Pangu (200 billion parameters, reportedly barely used in practice) …","tags":["AI","China"],"title":"Learning the Language of Rain"},{"date":"Mar 20, 2023","permalink":"https://www.eigenform.ai/insights/artificial-intelligences-in-the-guanzi-and-the-han-feizi/","summary":"TL;DR\nConfucians learn by accumulating proven methods; Daoists learn by eliminating disproven ones …","tags":["AI","China"],"title":"Artificial Intelligences in the Guanzi and the Han Feizi"},{"date":"Mar 28, 2022","permalink":"https://www.eigenform.ai/insights/cryptographic-biorhythms/","summary":"TL;DR\nThe piece starts from a hand-built, domain-specific sentiment model (previously used to read …","tags":["Cryptography","Complexity Theory"],"title":"Cryptographic Biorhythms"},{"date":"Oct 01, 2021","permalink":"https://www.eigenform.ai/insights/procedural-models-of-political-order/","summary":"TL;DR\nOpens from a modelling principle: a good model isolates the necessary and sufficient inputs …","tags":["Political Theory","China"],"title":"Procedural Models of Political Order"},{"date":"Feb 22, 2021","permalink":"https://www.eigenform.ai/insights/someone-spoke-to-the-king-in-zheng-using-high-tech-methods-to-solve-an-ancient-chinese-mystery/","summary":"TL;DR\nOpens from a genuine historical puzzle in the Han Feizi: Han Fei delivers a speech to King …","tags":["China","History"],"title":"“Someone spoke to the King in Zheng”: using high tech methods to solve an ancient Chinese mystery"},{"date":"Jun 04, 2020","permalink":"https://www.eigenform.ai/insights/a-system-for-evolving-a-generalising-artificial-intelligence-from-existing-technologies/","summary":"TL;DR\nThe paper argues that true self-referential self-improvement is mathematically impossible, …","tags":["AI","Complexity Theory"],"title":"A System for Evolving A Generalising Artificial Intelligence from Existing Technologies"},{"date":"Jun 04, 2020","permalink":"https://www.eigenform.ai/insights/why-it-is-impossible-to-program-a-general-ai-using-conventional-methods/","summary":"TL;DR\nPresents a formal argument that any rule-based system faces an infinite space of possible …","tags":["AI","Complexity Theory"],"title":"Why it is Impossible to Program a General AI Using Conventional Methods"}]