Carlos E. Perez (@IntuitMachine)

# What the shift in AI agent architecture is really about...

Robots are going to arrive in unexpected forms! @rai_inst ...

Researchers put ChatGPT, Grok, and Gemini through psychotherapy sessions for 4 weeks. The results were... disturbing. When treated as therapy clients, frontier AI models don't just role-play. They confess to trauma. Real, coherent, stable trauma narratives. Here's what was found: 🧠⚠️ First, we u...

How can a tiny AI, 1000x smaller than a model like GPT-4, consistently crush it on pure logic puzzles like Sudoku? The answer isn't just a fun fact. It reveals a fundamental secret about the future of AI and how "thinking" actually works. A thread... 🧵 First, let's look at a standard Large Langua...

1/11 Everyone thinks you need to spend millions on retraining to make AI smarter. What if the genius-level reasoning was already there, just hidden? A new paper (from Harvard) I just read suggests we've been looking in the wrong place. And the solution is wild. 🤯 🧵👇 2/11 Right now, the go-to...

1/ Everyone's debating whether AI will take our jobs. But we're missing the bigger story: AI is about to solve the problem that made us choose between markets and planning in the first place. Thread on the coordination revolution no one's talking about 🧵 2/ Here's the paradox that should keep yo...

1/16 I just fell down a rabbit hole reading a new paper from economists at MIT & Harvard. Their prediction is wild: We're on the verge of a "Coasean Singularity"—a future where AI agents make markets so efficient that the very idea of a 'company' starts to crumble. 🤯 A thread 👇 2/16 First, a qu...

A Taxonomy of LLM Halucinations Large Language Models have transformed how we interact with artificial intelligence, yet their tendency to generate plausible but factually incorrect content—known as "hallucination"—remains one of the most critical challenges in AI deployment. Manuel Cossio's compre...

A new paper by Kenneth Payne investigates whether Large Language Models (LLMs) exhibit the same risk-taking biases that humans do, as described by Kahneman and Tversky's prospect theory. Key Findings: Main Discovery: LLMs demonstrate human-like prospect theory behaviors - they tend to be more risk...