I have had 1,000 conversations with government officials that go like this:
1. “How do we have a Silicon Valley of our own?”
2. [I list the half dozen key things]
3. “But what if we can’t do any of those?”
The world would be better with 10, 100, 1,000 more Silicon Valleys.
There seem to be two main groups
1️⃣ Those who post all day long about using coding agents but don’t seem to ship anything
2️⃣ A small group whose output has dramatically increased and are constantly shipping valuable things
The irony is that the ratio of these probably remains unchanged from before AI even existed. It also seems 2️⃣ can outship 1️⃣ even more so the “ship-rich will get richer” so to speak.
the lower down in the stack the more boring you want your vendors to be
ai labs are way too loud esp when some are focused entirely on enterprise
don't want them to be in the headlines or trying to influence govt policy, that stuff is wild and will implode in your face quickly
Everyone thinks AI coding tools set founders free.
Watch what people actually build with them: rules, approvals, process, layers. The same cage, assembled faster.
The tool that can scaffold anything in an afternoon will scaffold your bureaucracy in an afternoon too.
Speed of construction is speed of calcification. Build the thing that lets you create new things: experiences that didn’t happen before.
So interesting, because he combines two main skills that will be important in the next years: Human(lead, making contacts) and Ai(work with it, learn how to use it in a fun way).
Barbell strategy for killing it in an age of superhuman AI:
Simultaneously get as close to AND stay as far away from AI as humanly possible.
1. Get close — play with AI models, use them to help you think, ask them to teach you about the world, get them to help you create, work with them to write code, understand what makes them tick, embed them into your everyday life, have fun.
2. Stay far away — learn to tell stories, make eye contact, build a team, lead with courage, connect far-flung ideas, build lifelong friendships, debate persuasively, think forbidden thoughts, handwrite ideas, confess your fears, fall in love.
Spend less time trying to master mental transformations that are purely mechanical — building spreadsheets, analyzing trades, balancing accounts, writing code by hand, following playbooks, searching for needles in haystacks. These are the emerging no-man's land, squarely the domain of AI.
Venture to the extremes. That’s where all the fun is anyway.
@TuPanaUPWORK bueno, son excelentes noticias por ese lado, por el otro, los connects alli son caros y escasos. Sabes como conseguir o venderle a negocios, si hay tecnicas de ventas para eso, como presentar demos y demas?
- lives in Japan
- content creator
- built a mega computer
- uncancellable
- married
- has family
- dropped out of college
- fit
- reads hella books
- #1 YouTuber for like a decade
- Swedish
- 3 languages at least
- uses opencode
This is peak male performance
SpaceX has almost finished writing V1.0 of an in-house AI training stack in C that exact-maps to 220k GB300s with 800G NICs, making heavy use of pipeline parallelism and getting as close to bare metal as possible.
The potential speed improvement vs JAX for large training runs is over an order of magnitude.
@TuPanaUPWORK ve una pregunta: si quiero entrar a la zona de AI y ML, pero no tengo experiencia ni titulo, quizas se pueda obtenerla haciendo proyectos y haciendo self taught. Sin embargo no se si eso sera suficiente. Que opinas?
@0xSero idk i'm trying to build my own coding agent harness, in a pc from 2000. I'm planning an orchestrator for the harness, the idea is idk build some kinda AI software factory? idk
After spending time with Qwen 3.6 27B in Cursor I’ve come to realise the constraint on local models isn’t intelligence but the harnesses.
Local model harnesses are TERRIBLE.
Pi, open code etc are genuinely bad.
As a community, we need to do better than this.