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“Jensen has been incredibly good at retaining talent. There are very few high-profile departures from the NVIDIA executive team.” “This is probably when the sharks are in the water. The VCs are going to come in and offer people billions of dollars to start their own chip companies, their own neolabs.” “If a year from now we’ve seen a bunch of departures from NVIDIA, I’m going to be really concerned about their future.” “Steve Jobs is a pure visionary, and Jensen is negotiating every supply chain contract.” “If there’s any manufacturing issues with Rubin, people are distracted and Jensen’s not there. Things get solved slower, things get solved by committees.”

Felicito a la Subsecretaría de Fortalecimiento Municipal de la SEGO Oaxaca. Hace apenas un año salió de la universidad y, en un extraordinario ejercicio de desarrollo profesional, pasó de Jefa de Departamento a Subsecretaria de Estado. ¡Eso sí es una carrera meteórica! No cabe duda de que, en este sexenio, primero las mujeres y, sobre todo, las de grandes méritos, amplias cualidades y extraordinarias credenciales. Mi reconocimiento también al secretario de Gobierno de Oaxaca, José de Jesús Romero López @jesusromerooax , por su particular talento para el scouting de nuevos cuadros y su capacidad para descubrir perfiles que, desde luego, no pasan desapercibidos. La meritocracia, al parecer, tiene muchas dddimensiones.

Elon Musk, I decided to bring Jensen Huang onto the team because you simply do not pass up a once-in-a-generation opportunity to recruit the greatest compute architect on Earth. When it comes to building massive AI infrastructure, designing next-generation silicon, and scaling hardcore engineering at extreme velocity, nobody operates on Jensen’s level, and his vision for accelerated computing aligns 100% with what we are building across xAI, Tesla, and SpaceX. Bringing his unmatched expertise in-house to merge with our Dojo supercomputers, Grok clusters, and real-world robotics will compress years of innovation into months—and when legacy boards hesitate on true greatness, I am always going to bet big on the best talent in the world.

Aishah Sofey noticed her views were dropping, so she decided to show off some of her talents. Unfortunately, she had a tragic slip-up and was forced to end her stream. "Hope no one caught that." 😳👀

A big Chinese lab reached out to me asking for help distilling Fable into their model. I said no. I told them to use the millions of books that have no copyright instead. Offered to help pick them and to help train the model a different way. They only wanted distillation, which tells you a lot about the mindset there. I've worked deep in this field and distillation is real. I wasn't convinced at one point. What I saw changed my mind completely. I'm the biggest supporter of open source. I'm for releasing weights and for the freedom to research and build, because humanity only grows when knowledge gets shared. But let's be logical. Nobody will convince me that labs shipping a model every month or less, each one a big leap, now can't ship a better one after three months. Kimi K3.1 Pro isn't a big leap over Kimi K3 and it's been about 100 days. DeepSeek still can't put out a respectable Pro model. Zai used to release their strongest model in under two months. It's been three with nothing. All I hear about Qwen 4 Max is that it's a letdown. Kimi K3.1 Pro and DeepSeek Flash both show traces of Astra distillation. The leak showed Moonshot used it, and so did DeepSeek. If this isn't the effect of Anthropic blocking distillation then what is it? Chinese labs need to get serious about using the talented researchers they have and give their models an identity. Right now their models at their best are a cheaper alternative. I want them out of that box. I want to see what makes them different. Anthropic has crossed lines too, no argument there. They destroyed millions of books, human knowledge that was in people's hands, and kept it for themselves. I'll never forgive them for that. But Chinese labs rely on distillation more than they rely on better data. I didn't work with them. Transparency and honesty matter to me, like you've known since I started here.

We're still so small but I'm loving the team we've got at Superlogical. They're so talented and kind and love their craft. It's a different era of software development and our expectations and practices reflect that. I want to share a bit about how we work. First, everyone is trusted to push to main. We do machine-aided code review pre-push and human plus more machine-aided code review post-push. Limited to no PRs. Culturally, we've all agreed that if we ever hire someone who we DON'T trust to push directly to main, then they probably aren't the right fit for the team (so far, not an issue). Some common sense here: if someone is stepping outside their lane or comfort zone, we'll open PRs. For example, I'm pretty trash at macOS/iOS UI, so I'll open PRs for UI-affecting functionality and ask for eyeballs/help. But for business logic and internals, I push to main. Second, everyone can cut a release. Our release process is fully automated and when you start a release (for any platform) it triggers a Slack notification and a 15 minute countdown. The 15 minute warning is a final gate that allows people to review plus collaborate on a changelog. During that 15 minutes, anyone in the company can pause the release rollout. After 15 minutes, the train leaves the station. You can't override the 15 minutes (except to pause). It gives everyone a chance to step in. Third, we avoid synchronization through fast remediation rather than through planning. The server and clients on various platforms ship features as fast as they can. We use post-hoc human review and AI-assistance to identify feature mismatches across products ("Windows has support for X and Mac doesn't." or "Mac and Windows differ in their behaviors for Y in this way."). This avoids expensive "sync" meetings and coordination. We trust that producers of features are mindful of what they're producing and we trust that adjacent product lines will self-synchronize quickly. In practice, we see feature parity across platforms within 24 to 48 hours. All of this works on mutual trust. It ONLY works with mutual trust. Everyone at all times has to trust that they've got each others back: 1. Push to main only works if you fix your mess, or if you don't, that someone else will quickly but that you'd do the same (and generally in equal amounts). 2. Anyone can deploy only works if you trust everyone to cut at the right time, with the right changelog, and that people will respect the 15 minute timer. 3. Sync through fast remediation only works if you trust other teams will pick up and integrate your work quickly, which only works if you would too. It also only works if you are fairly producing mismatches (e.g. not constantly). We've got a great team. I know we're still small and that these practices will change in many ways as we scale. But this is already a markedly different practice than what I would've done 15 years ago. In general, we are building from day 1 on a foundation of mutual respect, excellence, and trust. And it's been awesome.

"I'm not gonna make excuses. I think we all gotta play better. ... It's not a lack of talent, it's a lack of execution with our group." Steelers' @CamHeyward discusses what Pittsburgh needs to do to improve their 2-2 record on the @RichEisenShow.

The future of professional flag football was on display in London ➡️ TMRW Sports brought our pro flag football talent qualifier to London, giving athletes the opportunity to compete and showcase their skills.