Actualités
Why AI is making us lose our minds (and not in the way you’d think)
The question isn’t, “will you use AI?” The question is, “what kind of AI user...
Why Agents Fail: The Role of Seed Values and Temperature in Agentic Loops
In the modern AI landscape, an agent loop is a cyclic, repeatable, and continuous process...
Why 2026 is a hot year for lithium
In 2026, I’m going to be closely watching the price of lithium. If you’re not...
Who are climate-conscious consumers? Not who you’d expect, says Northwind Climate
Rather than divide people into demographic buckets, Northwind Climate analyzes survey responses for behavioral clues...
Whitening Reveals Cluster Commitment as the Geometric Separator of Hallucination Types
arXiv:2603.07755v1 Announce Type: new Abstract: A geometric hallucination taxonomy distinguishes three failure types — center-drift...
Which Questions Improve Learning the Most? Utility Estimation of Questions with LM-based Simulations
arXiv:2502.17383v2 Announce Type: replace Abstract: Asking good questions is critical for comprehension and learning, yet...
Which LLM should you use? Token Monster automatically combines multiple models and tools for you
This architecture lets Token Monster tap into a range of models from different providers without...
When your LLM calls the cops: Claude 4’s whistle-blow and the new agentic AI risk stack
Claude 4’s “whistle-blow” surprise shows why agentic AI risk lives in prompts and tool access...
When your AI browser becomes your enemy: The Comet security disaster
Remember when browsers were simple? You clicked a link, a page loaded, maybe you filled...
When the solution defines the problem
How AI is reversing traditional problem-solving — and uncovering opportunities we never knew existed Continue reading on...
When Shared Knowledge Hurts: Spectral Over-Accumulation in Model Merging
arXiv:2602.05536v1 Announce Type: cross Abstract: Model merging combines multiple fine-tuned models into a single model...
When retrieval outperforms generation: Dense evidence retrieval for scalable fake news detection
arXiv:2511.04643v1 Announce Type: new Abstract: The proliferation of misinformation necessitates robust yet computationally efficient fact...
