luis

@elwatto Hacienda is taking notes

This was fun! I won’t dox the exact number, but it’s somewhere between 10% and 40%. There are definitely 🇪🇸 apps out there making a lot of cheddar!

@thsottiaux The ability to put sessions in a grid, at least up to 2x2

What should we improve on Codex to improve the everyday experience? Nothing too small

We are committed to pushing the model frontier across cost efficiency, capability, and speed. Starting today, we are reducing prices for GPT-5.6 Luna by 80% and GPT-5.6 Terra by 20% , and offering a faster option for GPT-5.6 Sol in the API. Luna and Terra’s lower prices are reflected in how usage is counted in Codex and ChatGPT Work, so your usage goes further.

Today, we are releasing Inkling-Small. Inkling-Small achieves comparable performance to Inkling at a quarter of its size. It features 276B total parameters, 12B active. We are making the full weights available. thinkingmachines.ai/news/inkling-s… Fine-tune it on Tinker today, or chat with it in text, image, and audio on Tinker Playground.

@n2parko Everyone is trying to justify why they bought one, and this is the perfect excuse

i was surprised to learn how many of you have ipads

@bryan_johnson Maybe approach it differently. If living longer requires having a super strict stressful routine, you'd better not waste your time bc most people won't do it anyway. We need more Ozempics.

been thinking things over and wonder if i’ve taken this whole longevity thing too far

@c_valenzuelab Do they always turn out to be worth it?

do hard things

@pashmerepat How does this takes form? Are you talking about a hardware or a software or both? Or just still abstractly thinking how they could materialize?

for the last few months i have been working on long running persistent agents. i believe this is the next paradigm shifting product after chatgpt and codex. there are a number of challenges, and i'm currently writing a longer post with some learnings & thoughts on why i believe the next big unlock is solving theory of mind loose thoughts: - the next paradigm-shifting product after chatgpt and codex is the persistent personal/work agent - the blocker to making such agents is that our models can't "read the room" - reading the room sounds soft but it's deep theory of mind - reading the room is the difference between talking to a bot and talking to an embodied identity you can trust to accomplish tasks and communicate with your colleagues - reading the room an understanding of who "your person" is, their desires and motivations, and who your audience is - concretely, it's tracking what i know vs what my user knows vs what the room knows. information asymmetry as a first-class skill - part of this is understanding compartmentalization. enterprises call this tenting and workspace isolation. "if my user is part of this tent, don't divulge information in a broad channel that's not also tented" - if i give a friend my home address, i trust them not to announce it in a room of a thousand people. I do not yet trust a model to exercise that same discretion. - harnesses like openclaw keep trying to solve this at the application layer with permissions, workspace isolation, context injection, and increasingly elaborate agent harnesses. necessary for now, but this likely futile as the final answer. discretion has to live in the model - side effect: this is also part of why model writing reads as slop. good writing is meeting your audience where they are. same missing skill tldr: persistent agents live or die on reading the room, and theory of mind may be one of the last major gaps before agi

I'm genuinely curious what do you think is going on here. You are clearly great at your job, GDM is full of extremely talented people. Google has virtually infinite resources. Why does it feels Google is falling behind? I can't default to think I'm marketing brain-washed by the competitors bc I genuinely try to use the g-alternatives and they are simply not as good.

@mcuban interesting article, but not correct. GDM is code pilled and we are investing massively to close the gaps and get to the frontier, it takes time but we will get there

Best article about how the tech behind AI drives the business of AI, that I’ve ever read open.substack.com/pub/thealgorit…

We’re giving scientists, mathematicians, and engineers free access to our frontier models—starting with 10,000 researchers and expanding to 100,000 through 2027. ChatGPT for Academic Researchers is built to accelerate discovery across disciplines.

More opensource goodness. We have just released a CLI and TypeScript SDK for finding, validating, and fixing security vulnerabilities in your code. Scan repositories, review changes, track findings over time, and run security checks in CI. github.com/openai/codex-s…

This campfire is 100% procedurally generated at runtime with Flutter Scene. No model files, no image assets. Recorded in debug mode. A full 3D engine built entirely on Flutter's built-in graphics API, Flutter GPU. No forks, no native renderer integrations. macOS, Windows, Linux, iOS, Android, web, and custom embedders.

I’m convinced that intelligence is overrated. Intelligent people are more likely to overthink, overplan, and overanalyze. They hide behind motion that doesn't create progress. They fear the judgment of others if they're proven wrong. The truth is that intelligence is abundant. Especially now. AI is making it a commodity. Courage is not. And it can’t be replaced. The people you admire are the ones who had the courage to act. They aren’t more talented than you. They aren’t smarter than you. They just took action when you didn’t. I often wonder how many extraordinary people wasted their entire lives waiting for permission that never came. Permission isn't granted. Permission is taken. You get to tap yourself in whenever you want. You can just do things. Courage beats intelligence. Remember that.

Great letter from Mark articulating the principles guiding MSL: individual empowerment, invention over automation, and balance of power through broad access rather than concentrated control.

🎯

MCP 2026-07-28 is live and it's the largest update to the protocol since launch. MCP is now stateless, making it easier to deploy and scale remote servers. claude.com/blog/bringing-…

@theo From no writing code to not reading code to manually writing our CLAUDE/AGENTS.md. You gotta explain the reasoning behind this last one

I spent multiple hours today hand writing better CLAUDE․md/AGENTS․md and half a dozen skills. Audited and deleted a similar amount. I'm sad to report it was 100% worth it.

The entire tech industry (save for Anthropic) has come out in favor of open source AI. So what happens next? Will Anthropic change its lobbying efforts? Not likely. Now the gaslighting begins: “Nobody is trying to ban open source.” “We just want to limit who can use it.” “We just want to limit who can contribute to it.” “We just want to limit how powerful those models can be.” “We just want to make sure the guardrails (we lobbied for) can’t be removed.” The net effect will be the same. They won’t stop until they kneecap open source. The rest of the industry needs to watch these guys like a hawk.

Safety work is only as good as the access researchers and defenders have to real models, and open sharing is how the whole ecosystem gets stronger. Glad to support the Open Secure AI Alliance.

Good move by @JensenHuang. The Nvidia letter is well written and worth reading. As we saw with the OpenAI-Hugging Face hack, we need open models and harnesses for defense. Lets stop believing the PR that closed models are safer. - that's just regulatory capture.