Tsla car wash mode. Not sure why the open trunk option is available in car wash mode and right next to fold mirrors. Dumb ass UX.
When they start making improvements in battery tech. Then i'll get worried about the robots having meaningful impact. A million robots that need to be recharged twice daily lol.
What are they doing over there at google. Lmao Gemini should be free and delivered with chrome. Not sure why google keeps fucking this up.
IAI retweeted
These new models are pretty crazy. In an afternoon (mostly passive) + one flight I built an IDE for Python for iOS that runs Pyodide, has a debugger, embeds linter and formatter, pi-durable powered coding agent and does iCloud Drive and all the other things too.
Mobile UI for your agent. You can port Claude code, pi, codex or whatever cli agent to it. I use my rust-based agent with it. Nice little UI but gives me most of what I need.
Hollywood talking about stocks. Time to pack it up.
Josh Brolin says he made more money trading stocks in 4 years than in 20 years as an actor
“I was day trading. I was swing trading and day trading. I made more money in those four years, really it was five years, but within four years, than I had made in 20 years acting”
“But I didn't really make hardly anything acting. I wasn't really working. I mean, think about it, dude. No Country, how much do you think I made from No Country? I had been doing it already for 22 years”
“That's pretty good. That was a good guess. One hundred. One hundred. So I cleared what, thirty? That's not considered a great year”
Software engineers being constantly mixed with computer science code monkeys will always suck. The former had to do real engineering but they get grouped with compsci folk as software gets automated away. Coding isn't software engineering.
First Agentic AI product I have had a non technical person use is MUSE. They didnt even have to try & I didnt ask. They were just telling me how impressive the experience is. Meta shall win the nontechnical people's data. Alexander wang is connected to the up coming generation.
Wow. What is coming you cannot imagine. This is some hard exciting shit. lmao openai and anthropic are literarily a drop in what is yet to come and one of them wont matter in 20years anyways. The future is going to be quite scifi ish. Excited for all the hardware/material problems we are yet to solve.
After six years in stealth, Atomic Machines is out. Our mission: on-demand, universal command of matter. First beachhead: the Matter Compiler, an AI-native manufacturing system that builds working micro-machines from code alone. No per-product tooling. No process development. Different code, different machine.
I think the thing most technical people dont realize is that you dont need to use claude code, codex, pi, hermes or any of these harnesses. Soon it wont matter anyways . Everybody is just building more of the same shit wrapped in layers of the same agentic AI.
Gave my agent a UI. Works on desktop and phone. I think a better agent interface for mobile. Not great but better than most I have used.
Imo normies are not going to adopt AI at this agentic scale until you have a product thats free and fun or paid and fun. There is a reason meta is king.
They don't want to be productive. Preaching productivity is not a good sell.
I miss pre anthropic karpathy. Being a wagie does kill your edge
We'll be spending a lot more time trying to understand the outputs of language models. A few thoughts, tips & tricks:
Writing. Something I've had success with: Ask your LLM to explain something in ASD-STE100, it's a controlled language specification originally developed for aerospace maintenance documentation. LLMs well-versed in this language and it comes with heavy constraints on clean writing style that I often find a lot more readable. Sometimes I've tried to soften it a bit e.g. ask for "80% of the way to ASD-STE100" because the spec is quite stringent. But even better:
Diagrams / images. Instead of writing, ask your LLM to create a diagram. These can be a lot easier to process, parse, and understand. But even better:
Web pages. Ask for output "in HTML" to get a beautiful, interactive webpage. LLMs are getting really good at frontend and can create beautiful experiences, animations, etc. But even better:
Explainer videos. The output format I am most bullish on is fully custom / bespoke explainer videos generated on any arbitrary topic. Experiment with things like "Create a 3b1b style video explainer on X. Use my ElevenLabs API key for audio narration". (you'd need an API key for the latter or you can ask your LLM to find you decent free alternatives that use your local compute). This is actually starting to work!
In summary:
- As LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding.
- Luckily, LLMs can help here too because as intelligence and code are increasingly abundant, you can ask for large, custom, discardable software artifacts (e.g. web apps, video explainers) that would have never made sense to create before. Push the boundaries here and you'll be surprised.
lmao, why does the 30-year interest rate chart looks like a recovering shitco. Oh, this is not good. I don't know what the early 2000s were like but if this actually respects TA or whatever mumbo magic lines drawn. You won't be able to afford a house for a while. So, keep debating renting.










