explore | Grilled Cheese

With Your Authorization, Claude Can Work on Your PC or Mac as an AI Agent — Navigating App, Clicking, Typing, and Executing Tasks on Your Behalf! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python
geni.us/Claude-for-Y...

Stem Cell Immune Microenvironment Crosstalk: Molecular Mechanisms and Therapeutic Opportunities! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #HealthTech #ReactJS #GoLang #CloudComputing #Serverless
geni.us/Stem-Cell-Cr...

The idea that AI can reliably refuse harmful requests is more fiction than fact, and overestimating that ability risks real-world harm.

#AI #AISafety #Tech #MachineLearning
https://www.technologyreview.com/2026/10/09/1145728/we-are-putting-too-much-faith-in-ai-to-say-no/

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

⚡ 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

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