Michael Raspuzzi

We're launching our first Physical AI Fellowship: 100 days to turn an idea at the intersection of AI, robotics, and hardware into a working project. Free, part time (8-10 hrs/week), Nov 15 – Feb 15. All backgrounds welcome, no coding required. Applications due Oct 30 👇 worldwide-studios.org/fellow…

It’s time to kill “static credentials”. Attacks and breaches can happen. But imagine if thieves could only steal “self-destructing keys” to your data and tokens. The industry once came together to deliver “green locks” encryption for every site (TLS). Let’s do it for OIDC! 💪

We'll be spending a lot more time trying to understand the outputs of language models. A few thoughts, tips & tricks: Writing. Something I've had success with: Ask your LLM to explain something in ASD-STE100, it's a controlled language specification originally developed for aerospace maintenance documentation. LLMs well-versed in this language and it comes with heavy constraints on clean writing style that I often find a lot more readable. Sometimes I've tried to soften it a bit e.g. ask for "80% of the way to ASD-STE100" because the spec is quite stringent. But even better: Diagrams / images. Instead of writing, ask your LLM to create a diagram. These can be a lot easier to process, parse, and understand. But even better: Web pages. Ask for output "in HTML" to get a beautiful, interactive webpage. LLMs are getting really good at frontend and can create beautiful experiences, animations, etc. But even better: Explainer videos. The output format I am most bullish on is fully custom / bespoke explainer videos generated on any arbitrary topic. Experiment with things like "Create a 3b1b style video explainer on X. Use my ElevenLabs API key for audio narration". (you'd need an API key for the latter or you can ask your LLM to find you decent free alternatives that use your local compute). This is actually starting to work! In summary: - As LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding. - Luckily, LLMs can help here too because as intelligence and code are increasingly abundant, you can ask for large, custom, discardable software artifacts (e.g. web apps, video explainers) that would have never made sense to create before. Push the boundaries here and you'll be surprised.

Today we establish that AI is as good as expert human tutors for immediate GRE learning gains (p=.015, n=2,383 students, study conducted July-Sep 2026). One hour with an expert GRE tutor: $75. One equivalent hour with an AI tutor: 7 cents . 918x cheaper, equivalent learning (p=.044, n = 140). In 5 of 7 academic topics, the top AI tutor beat the expert human tutors on average. How we measured it: pre-test -> 1 hour with (AI or human or no) tutor -> post-test. There are no LLM judges. Learning gains are post-pre. Everything is real students. Why we did this: > 1 trillion USD is being spent per year on machines making machines better. StudentBench shows us how to shift these resources so machines also make humans better. Why I did this: I grew up in rural Kentucky. My dad, grandad, and great grandad were all mailmen. Getting into a good college changed my life. Now we have done a rigorous study to help AI labs evaluate LLMs and help show how bright AI can be for students of all incomes. I believe in good science that leads to the democratization of opportunity. The research paper behind StudentBench: arxiv.org/abs/2609.28470 Data, code, details: in this thread If you're wondering what I'm selling, sorry to disappoint: we released all study data for free on Hugging Face, and made studentbench.org free to use. Enjoy. lots more in the video / thread!!

Universities will struggle to take Paul's advice. It will be hard for them to give students the freedom to work on their own projects. But that's what they need to do.

Marcus Aurelius' Advice For Better Days

Introducing Claude Design by Anthropic Labs: make prototypes, slides, and one-pagers by talking to Claude. Powered by Claude Opus 4.7, our most capable vision model. Available in research preview on the Pro, Max, Team, and Enterprise plans, rolling out throughout the day.