Follow builders, not influencers.
2026.07.28
Thibault Sottiaux
Update. I have decided to take a break from x to recharge a bit. See you back tomorrow for more ChatGPT and Codex fun. It's going to be a fun week.
Back at the laptop. The usage limits have been reset for all paid users of Codex and ChatGPT Work. Weeeeeeeee. It's a good day! https://t.co/Li7De9EDHz
We’re celebrating the fast adoption of chatGPT Work and all the incredible effort that went into it today. I’m feeling like a limit reset.
Hold on tight to your ultra and /fast and see you in a few hours when I’m back at the laptop!
Guillermo Rauch
In our latest https://t.co/p9AoezbuGt benchmarks, Grok 4.5 has emerged as the best cybersecurity AI model on price-performance.
It's 10x cheaper than Sol, 5.7x cheaper than Opus 5, and 2.2x cheaper than Kimi K3, yet at Kimi-like perf.
Sol remains the frontier, ahead of Opus 5. https://t.co/kcSDIqnXsN
🇪🇺/acc https://t.co/mpwxrMi5FP
Kimi's paper underlines the importance of the right security boundary for agents to run in.
tl:DR: container-level isolation is not enough. In their experiments, agents crashed the underlying machine (via kernel panics).
Firecracker microVMs (as in Vercel Sandbox) are safe. https://t.co/wvbdBo5Ng8 https://t.co/OFCWYaiKw7
Peter Yang
I asked @jxnlco (DevEx at OpenAI): “What’s the craziest thing Codex did for you?”
Here’s his answer:
“I was on a bike ride when a coworker asked me to fix a launch video. So I connected remotely from my phone and asked Codex to use computer use to edit the video, export it, and post it back to Slack.
Twenty minutes later, there was a new video in the Slack thread. Then I told Codex:
‘Every 30 minutes, check the thread for feedback and export V2, V3, V4.’
By the time I got home, the launch video was greenlit.”
Codex had handled the revisions by repeatedly checking Slack for feedback.
📌 Watch the full episode here: https://t.co/DulNtYvqGD
More takeaways and prompts in this written post:
https://t.co/BgPIKOfA9L
Jason walked through how he uses Codex throughout his workday in our interview.
📌 Watch it here if you missed it: https://t.co/K0gpWLQw4H
Aaron Levie
The negative AI jobs outcome just continues to not be happening as some predicted. A large portion of enterprises I talk with -across industries- are still hiring, just with a tilt in the kind of roles they’re going after.
They’re finding that AI is letting them do more, and Jevons paradox is actually playing out. They’re hiring engineers to go after problems they couldn’t tackle before. They’re hiring in sales because they can go deeper in client relationships now with the help of AI. They’re hiring in internal FDEs to help them deploy AI. And so on.
Anyone using AI merely to cut costs eventually just gets outcompeted by companies that use AI to better serve their customers and drive more breakthroughs in their business.
Could this trend change at some point? Sure. But for now this appears to be the trajectory we’re on.
The k3 weights have arrived https://t.co/3v8u3myvGA
Dan Shipper
if true, this sucks and shouldn't continue with rare books https://t.co/iRUJbl5UKR
Peter Steinberger
See you this weekend! https://t.co/zXgLnQvZJp
We do all the amazing security work with some of the best teams in the world and people still think we're unsafe. 🙃 https://t.co/S0m1yJVRtj
My agent reported a bug, their agent fixed it. [in the same night]
@jarredsumner's robobun setup is future. https://t.co/KQI5cqvzRP
Madhu Guru
Most product review meetings are annoying because they’re poorly run.
The best product reviews compress months of learnings into an hour by simulating the market reaction to your ideas.
That only works if the people in the room deeply understand the space, have great product sense, strong opinions, and are often right.
Too many product reviews have drifted toward status updates, leadership visibility, and cross-functional alignment.
When that happens, people naturally resent them because it feels more like overhead and less like learning.
Swyx
@ArtificialAnlys i love you @Kimi_Moonshot https://t.co/4lLeh8OHbH
incidentally, $ per input/output tokens died as a relevant cost measure sometime last year
if you haven’t updated your x axes to $/task per @ArtificialAnlys then idk if you can be taken seriously anymore these days https://t.co/EJPJiNwT8I
as the progenitor of the agent lab thesis which got the evals/routing/interactivity/ROI focus right
i gotta say the biggest argument against myself is that Claude Code got accidentally "open sourced" this year and approximately ~nothing happened to either it or its competitors' roadmaps
Amjad Masad
We’re entering a new era of exploration.
Our ancestors mapped the Earth. Then they explored space.
Our generation may explore the computational universe: the vast space of algorithms, programs, proofs, and designs that AI agents can search. https://t.co/UWK6nBPVQ8
Nan Yu
Eclipse where u at https://t.co/DM9r6rsOYH
A lot of very smart people work very hard to make the product very good and nice to use.
If you have very smart people, you should have them make your own product very good and nice to use. And pay us a nominal fee to use our product. https://t.co/tS6cSzIUg0
Nikunj Kothari
I used Claude Code as my primary interface for my two week trip and then asked it to do a full retrospective on what we can do better next time around.. https://t.co/o0ejibRT33
TIL Micro, the company that makes those kids scooters you see everywhere , also makes a fully electric car that opens from the front..
It’s so freaking cute! https://t.co/pu3AqjMTLF
> be @santa_kaus
> be a rockstar engineer at @openai
> have infinite rizz and taste
> burns tokens like no one else
> (sometimes) posts performative tennis photos to show he touches grass
> but still refuses to get a gf
> X do your thing, please slide into his DMs 🙏 https://t.co/BHpood23Q7