(product) engr” bro. did a thing or two in payments, banking/fintech and startups, now a member of taste staff. i told you i am monitoring the situation…

Joined October 2017
450 Photos and videos
Pinned Tweet
15 Oct 2025
“you perceive these… …to be heavy therefore they are, but to the few, weight is meaningless”
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Learning japanese this past year has just been realizing that this video is the most correct thing ever to learn a language
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It took me 8 years of overthinking, burnout, and self-judgment to realize what I’m about to tell you in 2 minutes. This is how neurodivergent minds - the anxious, the hyper-focused, the “too intense” ones - were never broken:
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Today, we enable AutoResearch in the physical world for the first time! Introducing ENPIRE: we give 8 Codex agents a fleet of robots, an allocation of GPUs, and generous token budget. We set them free with a simple goal: solve the task as quickly as possible, keep the robots busy but stay safe, don't waste precious compute. Make no mistake. Then humans step aside and our watch begins. The robot fleet starts to come alive: they learn to look for visual clues, reset the scene, practice novel skills, tinker with control stack, read papers online, debate, reflect, get stuck, and try again directly on the hardware. All we did is to give Codex an API to the world of atoms, and the rest is emergence. ENPIRE is able to solve high-precision tasks like tying zip-ties, organizing fine pins, and installing GPUs all by itself. We also discovered a new type of "physical scaling": 8 robots exploring in parallel improves significantly faster than fewer ones. A part of our NVIDIA GEAR lab now self-improves tirelessly over night. We just read the reports in the morning. /goal: we all take a holiday and Jensen wouldn't even notice ;) We will be open-sourcing everything, so you can host your self-running robot lab at home too! Deep dive in the thread:
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A career guide for people, period. Great read, and no reason these lessons aren’t insightful to people younger or older than their early 20s.
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One of the things that makes @SpaceX so valuable is how valuable it is. The Cursor acquisition costs materially less in dilution because of SpaceX’s high valuation. SpaceX’s ability to do economically, strategically, and technologically accretive acquisitions is an important component of its value. There is enormous value inherent to a company with a high value particularly when it is controlled by an entrepreneur that the most talented people want to work for and partner with. Value begets value. Talent begets talent.
Breaking: SpaceX said it would buy Cursor for $60 billion, striking a massive deal for an autonomous coding agent shortly after its blockbuster IPO on.wsj.com/4xDAULx
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if anything you want your agents to do is deterministic, such as managing a queue, or sorting a list, create a script for the agent to use. Agent's don't do deterministic things well. It's our job to force determinism upon them.
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since a good bunch of discourse is going on around "how to do research", these pieces are quite worth a read. joschu.net/blog/opinionated-… michaelnielsen.org/blog/prin… karpathy.github.io/2016/09/0… alignmentforum.org/posts/Ldr…
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Wow. I wasn’t even born yet in 1987.
Nassim Taleb built his fortune by realizing that to survive wall street, you must be perfectly comfortable looking like an absolute idiot speaking to microsoft's top engineers, he shared the exact math from 1987 that built his empire: "it started with the crash in 1987. i realized that if you position for a massive 20-sigma event, your portfolio is so mathematically convex that you could literally wait 400 years for it to happen again, and you would still be okay" "so i told myself i will only specialize in extreme events. you sit there and wait 3, 4, 5 years. everybody on the trading floor tells you you're an idiot. they tell you you're not profitable" "and then suddenly the crash happens. the crowd blows up, they completely disappear, and you take absolutely everything" watch his full 1-hour microsoft masterclass on the math of extreme risk
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A buddy who's getting mega paid by one of the frontier labs explained to me that the math and engineering knowledge required to do a lot of high level AI work is not actually that crazy, which makes me feel about 10000x worse to be a civilian
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Tom Cruise on how to turn your dreams into reality
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What's nice about calithsenics is that progress is slow. Some movements take months and years to accomplish because tendons, joints and connective tissue adapt much slower than muscle. It takes time to integrate the system.
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Holy crap, a Brazil municipal employee has discovered a 1000x faster way to finetune LLMs – with a little weird trick! This is insane. Global South rising… Frontier labs hate him
The Rio 3.5 model broke the internet this week. The plot twist? It’s essentially our open-source model, Nex N2 Pro, wearing a different hat. 🤯 We analyzed the weights, and the recipe is exact: Rio 3.5 ≈ 0.6 * Nex N2 Pro 0.4 * Qwen 3.5 It even literally introduces itself as "Nex N2 Pro" if you ask it without initial system prompt! 😂 We are flattered that the City of Rio used our work to achieve SOTA performance. Thanks for the ultimate benchmark validation. 🤝 But in the open-source world, attribution matters. 👇 Full mathematical proof & verify script in the first reply!
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Self recommending.
A conversation with Ed Catmull, founder of Pixar. I've been making podcasts about Ed for over 8 years. He invited me to his home and told incredible stories from his 60 year career. Ed worked with Steve Jobs longer than anyone else — for more than a quarter century. We talked about what he learned from Steve, the founding of Pixar, building a company at the intersection of art and technology, why getting the team right is the necessary precursor to getting the idea right, and so much more. Ed is full of hard-earned practical wisdom. Spending time with someone I’ve studied for almost a decade was awesome. I hope you listen. 0:00 Most Companies Are Full Of Shit 4:28 The Brain Trust Mechanism 10:13 Why Steve Jobs Was Banned From The Braintrust 17:48 Your Job Is To Manage The Dynamics 23:27 Betting The Company On Toy Story 24:35 Engineering Eisner's Worst Nightmare 36:51 Bob Iger's Crappy Hand 38:44 Why Disney Never Asked What Pixar Was Doing 43:48 Take The Hard Problem 44:38 The Director Can't Lose The Team 48:48 Quality Is The Best Business Plan 52:32 What Walt Disney Taught Him 59:25 George Lucas And The Motion Blur Problem 1:08:48 Now What's The Point Of My Life 1:13:31 How Much Of This Was Me 1:16:10 George Lucas Wanted The Whole Industry Healthy 1:25:11 Refusing To Let Anyone Feel Second Class 1:32:38 The Truck In The Building Includes paid partnerships.
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Damn, sounds like a very neat trick.
How do you give a code LLM knowledge of an entire repository without paying for it at every single query? We introduce Code2LoRA: a hypernetwork that turns a repository into its own LoRA adapter. Repo knowledge baked into weights → zero inference-time token overhead.
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"Obvious caveat: not every big company teaches quality, and not every startup gives you ownership. A bad big company can teach you politics and learned helplessness. A bad startup can teach you chaos with a Figma file. The team matters a lot." Worthy of so much note. Great piece Andy
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2023 I got my first international collab at $250 for a video. 2026 I got back to back biggest gigs of my life, one of it $5K for a video. and I am not working as hard as I used to but I became better at my work, so yeah take my word for it.
Take my word for it, if you stay consistent on a path that you are really good at and has clearly shown you some results, you will “always” win big in the end, what will likely throw you off is how long you need to wait.
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How to Earn a Billion Dollars: paulgraham.com/earn.html

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I read about YarnGPT's acquisition yesterday, and I was really excited for @saheedniyi_02 . It's proves that ambitious ideas built with persistence will eventually find their moment. But it also left me wondering when acquisitions will become more commonplace in hardware ?
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