Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

This works really well btw, at the end of your query ask your LLM to "structure your response as HTML", then view the generated file in your browser. I've also had some success asking the LLM to present its output as slideshows, etc. More generally, imo audio is the human-preferred input to AIs but vision (images/animations/video) is the preferred output from them. Around a ~third of our brains are a massively parallel processor dedicated to vision, it is the 10-lane superhighway of information into brain. As AI improves, I think we'll see a progression that takes advantage: 1) raw text (hard/effortful to read) 2) markdown (bold, italic, headings, tables, a bit easier on the eyes) <-- current default 3) HTML (still procedural with underlying code, but a lot more flexibility on the graphics, layout, even interactivity) <-- early but forming new good default ...4,5,6,... n) interactive neural videos/simulations Imo the extrapolation (though the technology doesn't exist just yet) ends in some kind of interactive videos generated directly by a diffusion neural net. Many open questions as to how exact/procedural "Software 1.0" artifacts (e.g. interactive simulations) may be woven together with neural artifacts (diffusion grids), but generally something in the direction of the recently viral x.com/zan2434/status/2046982… There are also improvements necessary and pending at the input. Audio nor text nor video alone are not enough, e.g. I feel a need to point/gesture to things on the screen, similar to all the things you would do with a person physically next to you and your computer screen. TLDR The input/output mind meld between humans and AIs is ongoing and there is a lot of work to do and significant progress to be made, way before jumping all the way into neuralink-esque BCIs and all that. For what's worth exploring at the current stage, hot tip try ask for HTML.

i heard about a guy in a small town in england who turned his openclaw into a short form video marketing machine millions of views, steady app downloads, and revenue coming in every day i needed to find out how he was doing it 1. spin up an ai “employee” using openclaw 2. give it one job like grow your app with tiktokk 3. give it access to tiktokk analytics, a browser to research and image/video tools to create content 4. the openclaw studies your niche and starts generating slideshows and videos 5. every post feeds performance data back into the system views → hook quality downloads → CTA quality revenue → funnel quality the openclaw then iterates on - new hooks - new formats - new CTAs until it finds winners one of his posts hit 170k views and the system keeps improving because the analytics loop feeds back into the content generation so the agent slowly learns what works what i like about this is the framing most people think about ai tools this is different you spin up an ai employee you give it a job and let it run the loop thanks to @oliverhenry for coming on the @startupideaspod today more like this soon, i will share the most interesting stories and gatekeep nothing this episode was dripping in sauce i gotta try this and see if it works kinda wild if it does watch

Uber founder Travis Kalanick just inverted the entire automation panic. Everyone assumes AI eliminates human value. The physics say the opposite. Kalanick: “Let’s say the entire world, everything in our world, was automated except for plumbers. You had machines making buildings. You would basically have like a thousand buildings a day.” The algorithm can design a skyscraper in a millisecond. It cannot connect the pipes. When compute violently accelerates the speed of construction, the unautomated human becomes the ultimate bottleneck. And the bottleneck captures all the margin. Kalanick: “How valuable would those plumbers be? Extremely valuable. Those guys, each and every plumber would be like LeBron. Why? Because plumbing is the long pole in the tent to progress.” If the machine needs a human to finalize physical execution, that human doesn’t get replaced. Their economic value goes exponential. Kalanick: “You got so much efficiency everywhere else that you need millions of plumbers.” The market thinks automation drives human wages to zero. The physics dictate it drives the bottleneck’s wages to infinity. The next decade doesn’t belong to whoever out-computes the machine. It belongs to whoever stands at the exact point where the digital engine meets the physical world. Kalanick: “If we get to this place where autonomous cars are everywhere, if it was a thousand to one, you still probably have, I don’t know, 20 million jobs, 50 million jobs.” The panic over job destruction assumes a static volume of output. When output goes infinite, the system demands more human oversight. Not less. Waymo doesn’t delete the human. It shifts them from driver of one vehicle to director of a thousand. Kalanick: “Until we get super AGI, humans are valuable and they are going to become more and more valuable because they will be the long pole in the tent to progress.” You are no longer the engine. You are the grid.

This is wild. theaustralian.com.au/busines…

Software was eaten by AI.

I've never felt this much behind as a programmer. The profession is being dramatically refactored as the bits contributed by the programmer are increasingly sparse and between. I have a sense that I could be 10X more powerful if I just properly string together what has become available over the last ~year and a failure to claim the boost feels decidedly like skill issue. There's a new programmable layer of abstraction to master (in addition to the usual layers below) involving agents, subagents, their prompts, contexts, memory, modes, permissions, tools, plugins, skills, hooks, MCP, LSP, slash commands, workflows, IDE integrations, and a need to build an all-encompassing mental model for strengths and pitfalls of fundamentally stochastic, fallible, unintelligible and changing entities suddenly intermingled with what used to be good old fashioned engineering. Clearly some powerful alien tool was handed around except it comes with no manual and everyone has to figure out how to hold it and operate it, while the resulting magnitude 9 earthquake is rocking the profession. Roll up your sleeves to not fall behind.

Larry Page: Even if you fail at your ambitious thing, it's very hard to fail completely. That's the thing that people don't get.

While cross-country skiing this morning, Dr. Karp decided to launch a new program: The Neurodivergent Fellowship. If you find yourself relating to him in this video — unable to sit still, or thinking faster than you can speak — we encourage you to apply. The final round of interviews will be conducted by Dr. Karp personally. Application link coming soon. Thank you and good luck.

Build this one life habit: final food 4 hr before sleep. Never ever break it. It will change your life, I promise.

It's ironic that a lot of smart people fail to live fulfilling lives precisely because they think too much; and they think too much because they lack two things: (1) the faith to believe in their own growth and (2) the courage to act when they feel scared.

writing code was never the hard part if it were, all developers would have 100k mrr apps