We're winning the league next year

Joined December 2022
To finding many such friends and mentors
On Scott Adams. A man finds, to his astonishment, that he exists. After the elation of childhood wears off, he asks, who am I, why am I here, how does this work? These are hard questions, so after a brief struggle, he selects a readymade answer and goes about the motions of life. Scott Adams was not such a man. He was a live player, ever curious, intent on figuring out this simulation that he found himself in. From first principles, Scott unraveled, understood, and ultimately controlled his own reality. He hacked himself with affirmations, others with persuasion, the world with simultaneous sips. He explained people as moist robots, two movies happening on one screen, his world as Gods’ debris. He carved a personal mission to “be useful,” and made us all better writers, public speakers, and persuaders. He preached the footwear theory of motivation, the Adams Law of slow-moving disasters, the skill stack, systems over goals, and of course, the Dilbert Principle. Besides cartooning, philosophizing, and teaching, Scott rose to the occasion and displayed, “the one virtue that cannot be faked” - courage. Scott had the courage to speak honestly as he saw it - about Trump, about his nation, and about his time, even though it cost him friends, audience, money, and his ticket to polite society. Scott had true courage, the kind that makes you unpopular, the kind that is always and everywhere in short supply, At the end, as any hacker of reality, Scott covered all of his bases - he left as a Buddhist, a Christian, and a player in the Simulation. Scott, we didn’t get enough time with you, but you were a mentor and a marvel. You were useful and you were courageous. You were incompressible and indivisible. One of a kind, and generous with your drawing, writing, and speaking. Unlike your squealing critics in the chattering class, you will be read generations from now. On this earth there are many long-lived hells but no lasting heaven. Each heaven must be created and nurtured, ex-nihilo, from mind and from mud. Scott, you created a small heaven for us all, and to a larger heaven you go. A man finds, to his astonishment, that he no longer exists. He asks why, what it was for, and how will the new reality work? When the rest of us get there, we’ll find Scott, ever useful, ready to explain, having figured it all out. Notes: • First line paraphrasing Schopenhauer. • Courage quote via Taleb.
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Cunha at the end could've just slipped in Mbuemo
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Absolutely correct. "Deep tech" is much needed in India, and I am extremely glad we finally have RDI and other initiatives. But this silliness of attacking B2C, finance, quick commerce, "less-tech" startups or (my favourite) a random ice cream-cookie company is beyond dumb. Within basic laws and ethics, business is business. Money is money. The fact that some need to feel like they are doing a massive favour to India is telling. The government sets the incentives, and people take risk as per their appetite, interest and competence. More prosperity will normally lead to more deep tech. Japan in the 1960s, Korea in the 1980s, China in the early 2000s and India now: we are on the right path. More will help, and more is on the way.
Deep tech's risk capital had large contributions from internet entrepreneurs: - Sachin/Binny did Flipkart before funding Ather - Mukesh did Myntra before funding Skyroot - Deepinder did Zomato before funding LAT A country needs groceries so that it can dream of space
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Kshitij retweeted
Perfect PL winger
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Kshitij retweeted
So in fact we actually can get robots, flying cars, superintelligence, fast internet on planes, space travel, space colonies, orbital data centers, unlimited energy, likely cures for nearly every disease, and more all in our life times. Pretty great.
Turns out the future does have flying cars
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I keep coming back to this essay every now and then Neural networks have a surprising amount of structure.
interpretability might be the most important scientific problem in the world right now, as I don't think we can solve alignment if we don't know what we're building. I think I have good news about it. I co-authored early work in mechanistic interpretability at OpenAI and came away pessimistic, because neural networks appeared to fold into arbitrary tangled knots. years later, I started openai's first large-scale automated interpretability project, finding about 2% of neurons legible with the primitive tools we had with modern agentic tools and a much closer look, the picture looks totally different. the vast majority in models up to trillions of parameters are legible, and their circuits beautiful. many famous examples of tangled neurons turned out to be misunderstood. The roadblocks I expected mostly aren't there. I now think ambitious interpretability will be solved by the time we need it most, and possibly quite soon, as automated scientists keep improving. it may be a bitter lesson for interpretability: the simple thing, at absurd scale, works already-clean.goodfire.com/
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Replying to @nickcammarata
> the simple thing, at absurd scale, works the extremely comfy lesson tbh
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Manifestingg
I have finally found a job where my “jack of all trades, master of none” schtick is actually pareto optimal and allows me to genuinely stand out. AND I get to use Claude to automate all the bullshit I am too lazy to do myself. God damn this feels good.
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This is real demo. A flying car ‼️ The Tesla Roadster. 🤖
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That's all of our senior leadership group together
🚨 Manchester United players whose contracts EXPIRE at the end of the season. #MUFC [Sky, @ue_shm]
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One of the most beautiful yet dangerous set of ideas I had to unlearn was Romanticism. I think a lot of us inherited these ideas via Bollywood who in turn inherited from the Romantics of the late 18th century.
one of the more toxic ideas to enter the mainstream with us millennials is the idea that we get to 'success' by 'being ourselves'
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To my surprise, to market yourself well you need to understand your needs/wants, understand what you can offer to the world and make it apparent to the outer world. And actually, it might get us closer to the romanticism's ideals
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You start to realise that you'd probably do better with a certain kind of person/work that compliments your strengths but also challenge you to get out of your comfort zone. In defining yourself, and then communicating it you do a service to others and the world to finally have a chance of truly appreciating you.
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Kshitij retweeted
interpretability might be the most important scientific problem in the world right now, as I don't think we can solve alignment if we don't know what we're building. I think I have good news about it. I co-authored early work in mechanistic interpretability at OpenAI and came away pessimistic, because neural networks appeared to fold into arbitrary tangled knots. years later, I started openai's first large-scale automated interpretability project, finding about 2% of neurons legible with the primitive tools we had with modern agentic tools and a much closer look, the picture looks totally different. the vast majority in models up to trillions of parameters are legible, and their circuits beautiful. many famous examples of tangled neurons turned out to be misunderstood. The roadblocks I expected mostly aren't there. I now think ambitious interpretability will be solved by the time we need it most, and possibly quite soon, as automated scientists keep improving. it may be a bitter lesson for interpretability: the simple thing, at absurd scale, works already-clean.goodfire.com/
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Kshitij retweeted
Exa just passed $100m in annualized revenue. We've grown almost exactly 10x per year for 3 years. We now handle 2 billion requests a month from 200k+ teams. And it’s still so early: We predict agents will search 1000x more than humans by 2030. Agents don't search like humans. They write long, complex queries and want all the world's data, not just the web. We've spent 5 years building a search engine designed for them. We now serve personal agents, AI labs, coding agents, GTM agents, really any agent. Exa gives these agents access to 100s of billions of web documents and tons of proprietary data. Our customers are increasingly noticing that information is the bottleneck to agent performance. While the world seems close to perfect intelligence with models like Fable and Astra, we are very far from perfect information. To our small but legendary team, thank you for getting us here, from engineering to research to GTM to ops. To our customers, it is an honor to serve you. We have some exciting releases coming soon and can't wait to share them 🫡
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We're getting a sympathy pen for that atleast
Yeah whatever man, you’re having a fuckin laugh 😭🤣😭🤣😭🤣🤣🤣🤣
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Ain't no way that's a red 😭😭ℹ️ℹ️
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