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People and companies shaping AI. Filter your watched accounts, catch up on recent posts, or find the most liked and viewed.

Compiled by the Toolstash team · Updated

209 watched accounts · 2988 matching posts · Showing up to 3,000 recent stored posts. Counts are snapshots, not live X totals. This page refreshes every minute while visible. Last collected .

  1. Elon Musk

    @elonmusk ·

    The Terafab project is going well

  2. Aaron Levie

    @levie ·

    It’s almost incomprehensible how wide the distance is between someone who’s working at the frontier with AI and basically everyone else right now.

    The crazy thing is these lines are not converging, but only growing farther apart. If the curve of AI progress had leveled off, it would certainly have given most people and companies time to catch up or implement their workflows in a standardized way. The technology would have neutralized competitive advantage because everyone would be using it the same way.

    But what’s happened is the opposite. The curve of AI progress is basically going vertical right now, which means if you had codified your processes 3-6 months ago you’re likely already behind again. Now imagine most companies that kicked into gear a year ago and thought that they were done. Even further behind now.

    I’ve never seen a technology in my life and career that improves at this rate, which consequently means you need to upgrade your expectations at a similar rate. Our brains weren’t wired for this, and our organizational change management processes certainly weren’t either.

    With any form of recursive self improvement, things just get wilder. It’s a time when you will need to be constantly reevaluating the things that didn’t work just a couple months ago to see if they now can be solved. AI native companies certainly have a strong advantage due to this right now, so now it comes down to can the bigger companies keep up. Wild times.

  3. Gergely Orosz

    @GergelyOrosz ·

    I'll have @katelyn_lesse on the pod. What would you like to know about building stuff inside Anthropic / building with AI?

  4. dax

    @thdxr ·

    understanding why there's no good native desktop apps on linux

    it's like trying to serve 30 different platforms, combinatorial explosion of setups

    but exactly the type of thing agents enable

  5. Elon Musk

    @elonmusk ·

    Hire Grok @Bot to be an employee

  6. kache

    @yacineMTB ·

    Literally played with my kids train tracks until midnight. Not kidding. Fully locked in, didn't check my phone once for an hour. Lmao

  7. Miles Brundage

    @Miles_Brundage ·

    That’s like a quarter of their GDP

  8. Elon Musk

    @elonmusk ·

    Our second product is called Blindsight and it will, as the name suggests, enable even those who are completely blind or have never seen to see.

    It is ready from an engineering standpoint. Just waiting on regulatory approval.

  9. Andrew Curran

    @AndrewCurran_ ·

    North Korean state hackers appear to have been behind the Binance attack. The entire event started through a single DevOps engineer's compromised laptop. With the confirmed impact now at $6.3 billion, it is by far the largest crypto heist in history.

    Media shared by Andrew Curran
  10. roon

    @tszzl ·

    6 Astra is an old model at this point but inside the codex harness it has a level of AGI-ness that all the other frontier models lack. computer and internet use are seamless and Just Work™️; covers almost anything a person can do on a computer

  11. Shubham Saboo

    @Saboo_Shubham_ ·

    wtf is an agent harness.

    An agent is a model plus a harness.

    Model reads the context and picks the next action. The harness is all the code that turns that choice into work.

    Claude Code, Codex, Antigravity, OpenClaw and Hermes Agent are all harnesses.

    8 common parts every agent harness shares:

    1. The loop • Sends the context to the model and runs whatever tools it asks for • Feeds the results back in for the next step • Decides when the task is finished

    2. Tools and sandbox • Give the model a terminal, files, a browser and your connected apps • Run every task inside its own isolated computer • Keep the damage from a bad command inside the sandbox

    3. Subagents • Take side tasks off the main agent and run them in parallel • Start each one with a fresh context window • Send back only a short summary, so the main context stays clean

    4. Context management • Decides what the model sees on every turn • Loads skills and files only when the task needs them • Summarizes old history before the context window fills up

    5. Memory • Stores progress notes, git history and skills on disk • Lets a new session read what the last one did • Picks the work up where it stopped

    6. Guardrails • Hold risky actions like emails, payments and deletes for your approval • Keep real credentials outside the sandbox • Give a prompt injection no credentials to steal

    7. Verification • Stops the agent from handing you a summary that only sounds finished • Runs tests, browser checks or a separate grader first • Lets the agent call the task done only after those checks pass

    8. Observability • Traces every model call and tool call • Spots the agent repeating the same failed edit • Pushes it to try a different approach

    follow @Saboo_Shubham_ for more on Agent Harness.

  12. Joshua Saxe

    @joshua_saxe ·

    The security sensitivity of sites like OpenRouter is insane; imagine the damage you could do by inserting shell commands into people's token streams or just logging and ransoming people's data. Who needs to poison model weights when you can implant yourself within inference providers

  13. dax

    @thdxr ·

    what if you could use your claude subscription in opencode

  14. Daniel San

    @dani_avila7 ·

    Took this photo this morning…

    Fall in Michigan is absolutely beautiful

    Media shared by Daniel San
  15. Dean W. Ball

    @deanwball ·

    “It may be the devil, or it may be the lord, but you’re gonna have to serve somebody”

  16. Peter Yang

    @petergyang ·

    I have never seen so many cartoon avatars getting angry at @ForwardEditor for talking about the inevitable.

  17. dax

    @thdxr ·

    i made and ate two steaks a day for two months

  18. Elon Musk

    @elonmusk ·

    Tomorrow is the last day of early voting in Texas.

    Vote for @KenPaxtonTX!

  19. kache

    @yacineMTB ·

    There is no amount of money you could pay me to be a DevOps engineer for a crypto exchange

  20. Daniel San

    @dani_avila7 ·

    The IDE is not dead… but the way we build software is changing

    Today I gave a talk at Latam Build: “The Rise of the ADE” (Agentic Development Environment)

    I shared how I’m moving from writing code to orchestrating agents, and what six weeks of working without an IDE taught me

    Here are all 23 slides 🧵

    Media shared by Daniel San
  21. roon

    @tszzl ·

    rip king

  22. dax

    @thdxr ·

    so did all those people buying mac minis for openclaw not use them long enough to hit this

    Media shared by dax
  23. swyx

    @swyx ·

    excited for @Cloudflare's debut as a frontier lab

    #NothingButNET gang, assemble!