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Remember that you are a star, and that the world you inhabit revolves around your thoughts.

The AI industry just invented a new job. Wait until you hear what it does.

If you feel stuck, try this: For the next 30 days, every single day, wake up at 5am and work out for at least 30 minutes. It doesn’t matter what the workout looks like. Go to a gym, go outside for a run, do pushups and squats on your bedroom floor. This isn’t about the workout. It’s about creating Proof of Agency. By the end of 30 days, you’ll completely rewire your brain. Scientists call it neuroplasticity. Your brain physically changes in structure and function through action and experience. The action of waking up early and working out every single day for a month will create evidence that you have the power to take an action and achieve a desired outcome. You’ll see yourself differently. You’ll reorganize your life around this new priority. You’ll eat healthier, go to sleep earlier, and narrow your focus. It creates Proof of Agency. That has ripple effects into every area of life.

To succeed in the game of power, you have to master your emotions. But even if you succeed in gaining such self-control, you can never control the temperamental dispositions of those around you. And this presents a great danger.

Fear is the most expensive emotion. It costs you time, opportunity, and the future you could have built. Trade fear for curiosity.

Your life will not magically exceed your standards. Improve your boundaries and life improves too.

Do not use your energy to worry. Use your energy to believe, to create, to learn, to think and to grow. —Professor Richard Feynman

Perception is reality

recommended reading by @antirez > I worked 14 hours per day on average. My normal average is 4/6 since early Redis times, but the first few months of Redis were like that. this isnhow i work too, intense bursts followed by a healthier phase. antirez.com/news/165

If I were a college career counselor or in career services, I’d quickly be figuring out how to get students to understand these forward deployed engineer jobs exist and how to get them. The requirements are a mix of deep technical skills, often CS majors or minors. You must be great at understanding problem solving, how to have systems thinking, and have a strong business acumen. The kicker, of course, is to make sure you’re very deep in AI agents; you need to have fluency in coding agents, MCP, CLIs, Skills, and so on. Hundreds (thousands?) of technology companies will be hiring for these roles, same with any consulting and IT services company, and the vast major of mid-size and large enterprises will be hiring for this talent internally as well. One great example of opportunity for highly technical talent out there.

If you become exceptional at managing agents, but are also exceptional in your understanding of the fundamentals, you will be unstoppable. We all prefer to work with masters of their craft. What’s new: you can’t afford to miss out on the amplification agents have on your output

being vulnerable - by far one of the most important applied ai fields is in AI x Healthcare, but nobody on my team knows how to cover it! very fortunate to have @jacobeffron on the pod for this one - I took a healthcare economics class once many moons ago, but not only is he on the @AbridgeHQ board, he’s also an excellent podcaster (@ULpodcast) in his own right and people really enjoyed our annual crossover pod chat. I organically bring up a lot of @redpoint portcos in many of my conversations and his questions here were very on point if you are interested in how AI is improving healthcare outcomes and finances across the board!

Cal Newport's advice on how to successfully delete social media: "I ran an experiment with 1,600 people and they all turned off all their social media for 30 days." "The ones who didn't succeed tended to just try to white knuckle it. The people who did succeed followed my advice to incredibly, aggressively pursue alternatives in those 30 days." "Go learn new hobbies, join things right away, get really structured about your day, get into exercise again." From the @hubermanlab podcast

Great Resource to Learn Harness Engineering walkinglabs.github.io/learn-harness-…

🎶 It’s my slop! It’s now or never. I ain’t gonna live forever. I just wanna slop while i’m alive…

beautiful tech stack writeup, one of the best i've ever seen in my career. I always advocate that devtools companies write these up, because it fulfils multiple purposes: - tell users the care that goes into the product - tell hires that there's SOTA work here - tell competitors to give up - gives back to community - (nuanced) tell non-fits why they can't have what they want when they think it's an easy request few actually do this mostly because they don't actually have sufficient depth, or aren't sufficiently good at notetaking/systematic about problemsolving ('its just vibes' or 'honestly we just went with the first thing that worked' doesn't come across as well, so rather not say anything) so when you've done the work, show the work. bravo Raycast

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… 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.

coders anonymous: i just kinda wanna rebuild everything.

how does one take a backseat after being the leading driver? fortunately we have had the chance to develop influence. trust. our word. we have partners and collaborators. team mates. rave fam. reading club. bible study. the temples and all.

How does one take a backseat after being an official world leader? Even if we don’t have a title, we can always act as if we are a world leader. Leading one self first of all. For the family and the world. The army of friends will follow.