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A lot of financial thinking and intuition attempts to phrase decisions and choices in terms of claimed returns or in terms of expected values. For example: An ultra greedy gambler may pick the highest claimed winning payoff, independent of win or success probabilities. A greedy gambler may pick the highest […]
The (now falsified) Jacobian conjecture was a well known conjecture expressing the hope that a family of functions had nice properties. In July 2026 Levent Alpöge exhibited a simple counter-example that he said was found by Claude Fable 5. Fields medalist Terence Tao wrote on this result try to relate […]
Win Vector’s Dr. Nina Zumel has an exciting new article to share: Who’s the Best Batter? Estimating Probabilities from Unevenly Collected Data. It is a technical demonstration on how what one observes (outcomes, frequencies, and so on) differ from what we want to know (effectiveness, probabilities, and so on). In […]
I’ve been worrying a bit over the philosophy of creation and dissemination in the era of LLMs (large language models). I feel we are overly impressed with the byproduct or even the bycatch. LLMs do complete some tasks, write code, and produce superficially convincing texts. In my opinion, this is […]
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I started this blog a few years ago when I began my journey studying immunology, to have a place to write about what I was learning and about applications of AI to the field. My studies were a success: I completed a Masters in Microbiology-Immunology, explored interesting applications, and met some awesome people along the way. At the end of last year, I decided to return to my origins and re-joined fast.ai, which had grown into Answer.AI while I was away. Why now? AI is an increasingly hated field, and for good reason. I wrote about my decision: There are tons of false and over-hyped claims about what AI can do, but underneath those, it is a genuinely useful technology. I want to use AI in ways that don’t degrade my own critical thinking skills and that don’t pretend that resources are unlimited. The biggest companies have made their vision for the technology seem like the only option. It isn’t. OpenAI, Anthropic, Google, and xAI don’t own AI. Their values and decisions aren’t the only version of what AI technology can be. I understand why many people are anti-AI. My new job is rooted in the same objections. I returned to the field because I want to figure out how to use AI in ways that protect human creativity, autonomy, and problem-solving. You can read my full essay here. I am excited to continue exploring how to design AI tools that better encourage human understanding and human autonomy, particularly in the area of education. I have written several essays in the last year, posted at fast.ai and answer.ai, about how AI intersects with education, coding, and science: Breaking the Spell of Vibe Coding Stop Saying Boredom is Good for Kids I Don’t Want a Learning Dashboard for My Child Risks and Limitations of AI in the Life Sciences My friends all hate AI; I just joined an AI startup Going forward, you can find me at fast.ai, answer.ai, on twitter, and on LinkedIn. I look forward to reading your responses. Create a free GitHub account to comment below.
A new research paper titled “AI Assistance Reduces Persistence and Hurts Independent Performance,” which was recently presented at the Conference on Language Modeling, has been ... Read more The post The Good Thing About Hard Things appeared first on Cal Newport.
AI agents can now use Ollama's cloud models safely inside Fly.io's cloud computers.
Inside the harnesses that let AI carry a job across hours, days, and conversations.
