ASH🪄 (@ahmxrd) header
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A master of that long awkward pause. Co-Founder @AvelisHealth (YC S25)

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Joined October 2011
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BREAKING: Multiple sources in the US intelligence community say that the intelligence collected on Alice Huang, the suspected spy targeting Jensen Huang, does not prove she was acting as a spy for China, per CNN. Some officials at the Office of the Director of National Intelligence have said the characterization of Alice Huang as a Chinese spy is "not entirely accurate and over-torqued." Officials at the CIA also are "not yet convinced" that the intelligence collection on Alice Huang so far, including intercepted communications, proves she was knowingly funneling information back to Beijing. The FBI has reportedly been investigating this affair for at least a year. We maintain our view that Jensen Huang and Nvidia prematurely parted ways. A complete investigation is necessary.
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ASH🪄 retweeted
Everyone believes CUDA is NVIDIA's moat, the reason we've maintained our dominance in the AI era. I've never believed that. NVIDIA has only one true moat: its people. And the most important of them is Jensen Huang. I've worked on CUDA compilers, libraries, and DSLs for eight years, from Volta to Rubin. I think I've earned the right to share my perspective on what NVIDIA's moat really is. I hope you'll bear with me. 1. What is CUDA? Many people think CUDA is just a programming language and its compiler, and that NVIDIA's moat comes from the massive amount of software written in CUDA, making it impossible for developers to leave NVIDIA GPUs. This is completely wrong. It's an incredibly naive understanding of CUDA. To me, CUDA is everything NVIDIA does. CUDA isn't just a language, software, or hardware architecture. It's a product defined by a unique customer experience. When you find GPU programming too difficult, CUDA gives you an easier way. When your GPU code isn't fast enough, NVIDIA engineers respond and help you solve it. When a handful of GPUs can no longer push your technology forward, NVIDIA has already scaled its computing platform from desktops to massive data centers. When you need more data centers than anyone else can supply, NVIDIA has already secured wafer and HBM capacity years in advance to meet your demand. That experience is CUDA. It's made possible by the relentless, day-to-day work of everyone at NVIDIA. And the person who brings all these people together, who gives them a shared vision and purpose, is Jensen Huang. 2. What made CUDA possible? Patience. Perseverance. An unwavering commitment to a vision. Around 2006, NVIDIA bet that the future would demand far more computing power, and began transforming GPUs from graphics processors into a platform for general-purpose computing. Initially, it was a commercial disaster. The added costs hurt margins, the market wasn't ready, and the strategy faced enormous skepticism and pressure, including questions from the board. But Jensen persisted. For roughly a decade, NVIDIA kept investing in CUDA, building its hardware, software, and developer ecosystem long before the commercial payoff became clear. Eventually, deep learning arrived. And NVIDIA was ready. Today, this sounds like an inspiring story. But for those who lived through it, it meant a decade of perseverance, doubt, and being misunderstood. Looking back at the history of technology, how many people could have done the same? This is what I've always loved most about NVIDIA. And now, Jensen has been pushed out. This won't kill NVIDIA. The company can still create tremendous commercial value. But it has killed NVIDIA's soul. And how far can a body go without its soul? If this is how Jensen Huang is treated today, how will those of us who built CUDA be treated tomorrow? I love NVIDIA deeply, but I have to say it: NVIDIA is dead.
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It is important that we do not let self-righteous and small-minded individuals who are only interested in a twisted gesture of moral grandstanding hold human progress back.
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Nvidia’s co-founder came to believe that he was too important for the normal rules to apply to him. This culture of impunity must end. It has damaged one of America’s great corporate successes and undermined its national security economist.com/leaders/2026/1…
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The UI update to the AWS console makes it so much easier to understand. Designers are very important!
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Well…
Replying to @vlatdd
Most people are not special, rational, or particularly good. They're tribal primates running social scripts, ranking status, and defending comforting lies over evidence. Intelligence, drive, and outcomes are heavily genetic. Equality of result is a fantasy. The average person will never produce anything of lasting value, and the world is carried by a thin minority they resent.
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Main issue with Flutter is that it paints its own UI, so you never really get native feeling UI components, just replicas. If they ever prioritize making native components the default path, then Flutter immediately becomes a no-brainer.
Yeah I don’t know why Flutter never enters consideration when building a desktop app. Like, it’s been there all along, it’s fast, it’s GPU-rendered, it’s AoT-compiled, it has incredible devtools, and it supports mobile as well. What’s not to like?
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Gemini 4 Carbon is a league above Argon. Only issue now is just how inaccessible it is. I feel like @GeminiApp should partner with harness providers to offer subsidized access as I am just not interested in using any version of Antigravity
Finally tried Gemini 4 Argon in a real project. This model has a completely different vibe to everything else out there in a good way, still seems to hallucinate a lot, but this could be fixed. The foundations seem really good!
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I wonder why it’s thinking traces always says to respond in first person and use “I”. Likely an RL thing?
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Humanity really has brute-forced its way to super intelligence, so much advancement in the last couple of weeks, meanwhile, Nigeria still can’t provide constant electricity to a fraction of its population. Incredible!
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ASH🪄 retweeted
i went to bed and asked claude to paint an autumn tree overnight. at around 4am, it realised that it didn't have some shades -- so it stopped and titrated its own paint: diluting red, sienna and madder step by step on a second palette, then measuring each pocket from a photo. woke up to this beautiful watercolor painting. 303 brush marks, took about 4.5 hours 🍂 (still working on the speed)
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Still a work in progress but I think it's ready for others to try it out. Here's the repo: github.com/expo/exact
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Replying to @ccheever
It's close enough that it's hard to tell the difference visually but Exact slightly outperforms idiomatic raw UIKit on fps. This is possible because Exact handles layout and view recycling in a way that is more optimized than most UIKit implementations. With enough work/tokens, you can achieve the same performance with UIKit. But with Exact, you just get it right out of the box.
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The execs spent all their time fear mongering and wannabe influencers kept parroting things like “permanent underclass” and “you’ll have no jobs”. The stigma will take years if ever to get rid of, terrible marketing for an incredible technology.
it's pretty bleak to me how unpopular AI is in spite of how transformatively useful it is
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The mix of religion + ignorance/illiteracy/under-education/lack of exposure produces the worst people. Been seeing it with the Nigerians who claim victims any chance they get but always fail to see that they’re just as evil. Complete lack of discernment and higher order thinking
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On today’s episode of why Opus 5.5 is incredible. I found factoring a Gauss-Newton system to be slow and wanted to offload the calculation to the GPU, Opus pointed out that Apple Silicon’s GPUs can only do 32 bit maths but there’s a dedicated matrix unit in the CPU…
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that can do 64-bit arithmetic through an API called Apple Accelerate which I had never heard about before now. I probably would not have figured this out myself and could easily have spent days battling with MLX
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I agree with this. If Opus 5.5 feels the same to you as older models, you probably should study more.
Replying to @amritwt
Hot take: Opus 5.5 is widening the gap, not shrinking it We're now at the point where most devs can't feel a difference with new models because most devs fucking suck at coding
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Gave Opus a hard problem, after grinding for 5 hours+, it just told me it’s out of ideas. AGI!
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What?
JUST IN: Nvidia erases all stock market gains this year
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