A model judging another model has no outside. Detectors run on the same machinery as the slop they police: one automation auditing another. Yours is the residue automation can't generate.

#machinelearning #ai
https://seldondance.substack.com/p/automated-intelligence-is-not-artificial

Preference is a specified operating property: resistance to a named pressure, transmission when the facts change, on a named load. Where does the model sit is only the spec when the job is the origin. The Shaft at Rest: #ai #machinelearning
https://seldondance.substack.com/p/the-shaft-at-rest

Same 100k tokens both ways: cents on one model, nine dollars on another - a 150x spread on work where quality often ties. At that spread, model choice is a per-call policy, not a procurement line. The Multi-Model AI Era: #ai #machinelearning
https://seldondance.substack.com/p/the-multimodel-ai-era

The Biggest Shift in Tech No One Is Prepared For
#FutureTechnology #ArtificialIntelligence #AI #TechTrends #Technology #DigitalTransformation #FutureOfTech #CloudComputing #Innovation #MachineLearning #Automation #GenerativeAI #CyberSecurity #DevOps #EmergingTechnology #Digital

⚡ Remote Staff Research Engineer – Interactive Avatars at Synthesia.
✅ Apply here: https://jobicy.com/jobs/152977-staff-research-engineer-interactive-avatars

#RemoteJobs #DataAnalytics #DataJobs #MachineLearning #RemoteWork

The Biggest Shift in Tech No One Is Prepared For
#FutureTechnology #ArtificialIntelligence #AI #TechTrends #Technology #DigitalTransformation #FutureOfTech #CloudComputing #Innovation #MachineLearning #Automation #GenerativeAI #CyberSecurity #DevOps #EmergingTechnology #Digital

Retrofitting language models to operate over bytes
Discussion | hackernews | Author: theanonymousone

#MachineLearning

FLOWMEM helps vision-language-action models reuse prior successful reasoning instead of rebuilding it, potentially improving robotics efficiency and reliability. Relevant to AI safety via more predictable action pipelines.

#AI #Robotics #MachineLearning
https://arxiv.org/abs/2610.12090

A new paper introduces Proof-of-Use, a reinforcement learning framework that tackles tool-call hacking in deep research agents by enforcing causal dependency between retrieved evidence and reasoning.

#AIResearch #MachineLearning #DeepResearch #ReinforcementLearning
https://arxiv.org/abs/2510.10931

New arXiv paper proposes Q-Shaped Options for Hierarchical Reinforcement Learning, addressing how agents learn temporal and state abstractions for long-horizon, goal-conditioned tasks. It argues current HRL…

#AI #ReinforcementLearning #MachineLearning #Research
https://arxiv.org/abs/2610.12135

Structured output "tax" in LLMs depends more on schema design than on format itself, with reasoning-first ordering matching or beating free-form accuracy. Smaller models and answer-first schemas see the steepest drops.

#AI #LLMs #MachineLearning #NLP
https://arxiv.org/abs/2610.12056

Analogy isn't first principles' enemy - it's the supply line. System 1's pattern library feeds breakthroughs; re-derivation is for when the patterns run out. From "Quo vadis?" to First Principles Thinking: #ai #machinelearning
https://seldondance.substack.com/p/from-quo-vadis-to-first-principles

Model calibration with `crossval`
https://thierrymoudiki.github.io/blog/2019/10/04/r/crossval-1

#Python #DataScience #MachineLearning #rstats #Techtonique

Anthropic Is Banishing Its Model Evals From the Internet #Technology #SocialandEthicalImplications #anthropic #modelevals #aiethics #machinelearning #internetrules

https://puretech.news/read?id=234824168451866624

A new generative framework called La-Ribo uses geometry-latent flow matching to jointly design RNA sequence and 3D structure, with a curated corpus of 168,561 RNA structures to expand supervision. Worth watching…

#GenerativeAI #RNA #Bioinformatics #MachineLearning
https://arxiv.org/abs/2610.12236

New paper proposes MetaOPD, a bilevel optimization framework that jointly trains a student model and a lightweight token-weighting network for on-policy distillation, removing the need for predefined signal-to-weight mappings in token…

#AI #MachineLearning #ArXiv
https://arxiv.org/abs/2610.11989

A new arXiv paper proposes SED-MCTS, a Monte Carlo tree search method that distills structural experience to improve interpretability in PDE solution discovery from observational data. The approach aims to give clearer…

#AI #MachineLearning #SymbolicRegression #PDE
https://arxiv.org/abs/2610.12003

🤖 r/MachineLearning

1行目: 脱ノートブック時代の到来？
2〜3行目: LLM登場前からのDSが提起。EDA→学習→保存の定番ワークフローが、エージェント型開発時代に合うのか問う議論。

🔗 https://www.reddit.com/r/MachineLearning/comments/1x2cbug/are_ipynb_notebooks_already_outdated_in_the/ #AI #人工知能 #MachineLearning

🩸TEASER!🩸

Get ready for this new Couch Potato on the #BralessWatchPodcast when we discuss the German-based series called #Cassandra! 🤖

#Netflix #Cassandra2025 #CassandraSeries
#Robotics #Robot #Technology #MachineLearning
#RogueAI #AIGoneWrong #SentientAI