A leading scholar in the study of working from home summarizes the research. WfH rates have stabilized, and the productivity impact of hybrid work (not fully remote work) is right around zero. It is likely to be a permanent part of work, and we are figuring out how to do it well

Used ChatGPT voice- only feature to prep for a panel that I'm attending tonight while I was driving over (vs listening to a podcast). Incredible experience. Did some role-playing w a post-panel discussion, and the exercise helped me crystallize some of my thoughts. Much easier

Last week, President Donald J. Trump issued an Executive Order on AI. Already, federal agencies have identified >700 use cases, from "Autonomous Situational Awareness" for Homeland Security to "Smart Wildlife Tracking" for US Department of the Interior. Learn how USG is starting to think about AI: chat.openai.com/g/g-6FILh4tzi-…

Excited to share Google DeepMind’s newest AI model GraphCast: the most accurate 10-day global weather forecasting system in the world. GraphCast can also offer earlier warnings of extreme weather events, including the path of hurricanes. In @Science today dpmd.ai/graphcast

New YouTube video: 1hr general-audience introduction to Large Language Models youtube.com/watch?v=zjkBMF… Based on a 30min talk I gave recently; It tries to be non-technical intro, covers mental models for LLM inference, training, finetuning, the emerging LLM OS and LLM Security.

4-step process I use to build artisanal software (or deliver AI-powered SOPs):

UCLA has recorded nearly 12 inches of rain in the last 24 hours, a 1 in 1000-year rainfall rainfall event for Westwood. A truly unprecedented storm in modern history for the region as an atmospheric river stalls over the region.

One problem is the usual pathways for working with technology don't work here. The consultants don't have special knowledge you don't & you need to use the systems to understand what AI can do for you. Otherwise, it is all just talk & feels like fiction. oneusefulthing.org/p/strategies-f…

As a reminder, GPT-4 class models out-innovate and out-persuade the average human. An open sourced model of that power is going to lead to lots of unanticipated effects, good and bad.

At a conference at MIT, talking with a range of CEOs, technical leads in firms, etc. These are mostly people ahead of the curve in experimenting with AI in their organization. Every one of the ones applying it was saying it had a big impact on performance in their organization.

Happy birthday to #BASIC, the programming language launched at @Dartmouth #otd in 1964 to encourage non-STEM students to use computers: bit.ly/1k89tw4 (v/TIME)

The best new ideas often come from taking something that’s traditionally niche or expensive, and making it broadly accessible. In AI, the biggest opportunities will be from taking work that most businesses can’t afford or don’t have access to, and making it broadly accessible.

AI, at its best, doesn't give you answers; it helps you ask better questions. (These models aren't search engines.) They're more like microscopes or telescopes, making parts of information space legible that you otherwise might have missed. Which bits ultimately matter, where

Programming is changing so fast... I'm trying VS Code Cursor + Sonnet 3.5 instead of GitHub Copilot again and I think it's now a net win. Just empirically, over the last few days most of my "programming" is now writing English (prompting and then reviewing and editing the

The Homework Apocalypse already happened. AI can do basically any assignment and is being used everywhere. We need to start grappling with what that means, and how to use the capabilities of AI to get students to think, rather than replacing thinking. oneusefulthing.org/p/post-apocaly…

Here’s a test to see how susceptible you are to conspiratorial thinking (it's fun) and a handy link to send to someone who you think could benefit from a critical thinking refresher course (again, it's fun, they won't be offended): theconspiracytest.org

How to Prompt NotebookLM's Interests One thing we hear constantly from users first experiencing Audio Overviews is how good the hosts are at uncovering the interesting bits from their sources. You can elicit that same interest-driven summarization in text chat too. Here's how:

Meta spent as much as the Manhattan Project on GPUs in inflation-adjusted dollars. Really curious how long they will continue to release open models with that sort of capital expenditure and models that are getting more economically valuable.