🔒 Disclaimer 🗽 1A • 🤝 NLRA §7 • 🌐 Title VII §703 • 🌉 CA Lab §§1101-1102 — All threads = personal exploration of AI/AGI research, safety & policy. — No legal, tax, investment, or deployment advice. — RTs/likes = bookmarks, not endorsements. Employers & clients uninvolved.

.@cursor_ai your agent automation appears to be billing users for Cursor’s own internal toolCallComposer pipeline. 7,768 Codex calls I never initiated. 527 Composer sessions I never opened. Stopped when my money ran out. Support has been fantastic,answered questions I didn’t ask!

Agentic AI is only as fast as the CPU behind it. #NVIDIAGTC news: Introducing the NVIDIA Vera CPU, the first CPU purpose built for agentic AI and reinforcement learning. Delivering 2x efficiency and 50% faster performance than traditional rack scale CPUs. nvidianews.nvidia.com/news/n…

Anthropic just launched Anthropic Academy Totally free — 13 official courses, complete with certificates, and zero subscription required. Some highlights: → Claude 101 (perfect starting point) → Claude Code in Action → Building with the Claude API (seriously in-depth, 8 hours of content) → Intro to MCP Advanced MCP → Agent Skills → Claude on AWS Bedrock & Google Vertex AI anthropic.skilljar.com/

This is probably the best post of the day, Knuth has just congratulated Claude! I’m even more excited about Knuth’s next Christmas lecture, it would be very interesting.

Powerful new Harvard Business Review study. "AI does not reduce work. It intensifies it. " A 8-month field study at a US tech company with about 200 employees found that AI use did not shrink work, it intensified it, and made employees busier. Task expansion happened because AI filled in gaps in knowledge, so people started doing work that used to belong to other roles or would have been outsourced or deferred. That shift created extra coordination and review work for specialists, including fixing AI-assisted drafts and coaching colleagues whose work was only partly correct or complete. Boundaries blurred because starting became as easy as writing a prompt, so work slipped into lunch, meetings, and the minutes right before stepping away. Multitasking rose because people ran multiple AI threads at once and kept checking outputs, which increased attention switching and mental load. Over time, this faster rhythm raised expectations for speed through what became visible and normal, even without explicit pressure from managers.

“No amount of intimidation or punishment from the Department of War will change our position on mass domestic surveillance or fully autonomous weapons. We will challenge any supply chain risk designation in court.”

How was the show Silicon Valley so ahead of its time?

Introducing Cowork: Claude Code for the rest of your work. Cowork lets you complete non-technical tasks much like how developers use Claude Code.

Introducing shopping research, a new experience in ChatGPT that does the research to help you find the right products. It’s everything you like about deep research but with an interactive interface to help you make smarter purchasing decisions.

In 2009, Jensen explained CUDA and estimated its market size, $NVDA stock price was at ~$0.2 split adjusted. $10k investment in NVIDIA would turn into $8.8M The GOAT.

Introducing Higgsfield Fashion Factory. This is the start of Fashion Placement era. Most precise & high-aesthetic on Higgsfield. One character and a fashion item Fashion Factory = 15 studio-quality shot photoset. A simple recipe. Retweet to get the FULL guide in your DMs.

A must to understand the AI, the world, politics and everything between!

Nvidia CEO Jensen Huang just made the boldest prediction of his career: “AI will create more millionaires in 5 years than the internet did in 20.” But he didn’t stop there. He revealed exactly HOW it’ll happen Here’s his framework for capitalizing before it’s too late: ⬇️

BREAKING: MIT just completed the first brain scan study of ChatGPT users & the results are terrifying. Turns out, AI isn't making us more productive. It's making us cognitively bankrupt. Here's what 4 months of data revealed: (hint: we've been measuring productivity all wrong)

Biggest career accelerator in the next decade: get really, really good at learning - figure out your learning style - use AI to convert material into that format/style (podcasts, quizzes, etc.) - apply knowledge - repeat Learn fast, grow fast

RT @satyanadella: Today, at Build we showed you how we are building the open agentic web. It is reshaping every layer of the stack, and our…