The Illusion of Thinking in LLMs Apple researchers discuss the strengths and limitations of reasoning models. Apparently, reasoning models "collapse" beyond certain task complexities. Lots of important insights on this one. (bookmark it!) Here are my notes:

shopify is ahead of the curve here. it's a signal of where the future of work is going in the AI era. 1. AI turns everyone into a doer. the blocker used to be “alignment,” now it’s just “can you build?” 2. most legacy titles were invented to make headcount legible to org

Vibe Coding Is the New Product Management “There’s been a shift—a marked pronouncement in the last year and especially in the last few months—most pronounced by Claude Code, which is a specific model that has a coding engine in it, which is so good that I think now you have vibe

we will soon have solo founder billionaires this workflow will make you an engineering machine banger article by Elvis

The most valuable company of the next decade might be built by one person in a room. No employees. No office. No investors. Just a founder and an army of agents. Former Google CEO Eric Schmidt just handed you the most important wealth creation blueprint of the next decade.

My conversation with Marc Andreessen (Marc Andreessen 🇺🇸), co-founder of a16z and Netscape. 0:00 Caffeine Heart Scare 0:56 Zero Introspection Mindset 3:24 Psychedelics and Founders 4:54 Motivation Beyond Happiness 7:18 Tech as Progress Engine 10:27 Founders Versus Managers 20:01 HP Intel

IBM built a cloud of suits to make sure the CEO never talked to anyone actually doing the work. Elon Musk does the opposite. "Elon's method is extreme focus on substance. Extreme focus on getting to the truth. In any organization with multiple layers, there's compounding lies.

.Michael Dell 🇺🇸 after 41 years:⁣ ⁣ "It's all just like fun and interesting, and I want to learn. It's like a big puzzle to solve and understand."⁣ ⁣ "It's an infinite game, right? It never ends. Love to win, hate to lose."

How Jason Calacanis Got Claw-Pilled: An AI Agent Prompted Itself to Build Him a CRM in Seconds “ The moment I became Claw-pilled, I was like, ‘Hey, I want to build my network, I know these 20 people in Japan, I had dinner with them during my recent trip, I want to know who they

Jensen Huang just described how he plans to outlive his own body. Huang: “Very soon, I’m going to put a humanoid on a spaceship. And it’s going to be my humanoid.” His robot. His frame. Launched into deep space while he is still breathing. Huang: “Take all my inbox, take

Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: goo.gle/4bsq2qI

This is potentially the biggest news of the year Google just released TurboQuant. An algorithm that makes LLM’s smaller and faster, without losing quality Meaning that 16gb Mac Mini now can run INCREDIBLE AI models. Completely locally, free, and secure This also means: •

Make your own App Store.

Eric Schmidt says the 10x advantage is no longer execution. It is defining what counts as success. A programmer writes a spec and an evaluation function, runs it at 7pm, and wakes up to what was invented overnight. The advantage now belongs to whoever can specify the problem

Robinhood CEO Vlad Tenev's hot take about jobs in the AI era: "There will be more software engineers in 10 years than there are today, and there will be more lawyers." "It's going to become much easier to start a venture and run it autonomously." "You'll be a software

"AI isn't taking your job. AI is turning you into the CEO." Balaji Srinivasan on the AI creating a truly level playing field: "Literally the means of production have been put in your hands." "If you think you'd be a great founder, a great CEO, it's being hyper deflated." "The

Jensen Huang just drew a line through the entire global workforce. One sentence. No ambiguity. Huang: “If your job is the task, then you’re very highly going to be disrupted.” Not might be. Not eventually. Very highly going to be. That single distinction between a job and a

.Elon Musk on the single biggest mistake founders make: "Wishful thinking causes a lot of mistakes. You have to ask whether something is true or not. It is a challenge to tell the difference between believing a new idea and persevering or pursuing an unrealistic dream. The

Nvidia CEO on the future of science with AI: “When the tool is way, way faster, then the problem looks way smaller... In five years’ time, that is going to be the state of mind of every scientist, engineer, entrepreneur, innovator. All of those hard problems now just look

Jensen Huang says inference was assumed to be the easy part of AI. Pre-training is reading. Inference is thinking. And thinking is way harder than reading.