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Joined December 2020
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a month ago, I asked a bunch of people I know why they switched to codex from Claude code and the tldr was that gpt 5.5 was just smarter reasons people gave me: -better able to understand problems and break them down -“more autistic” -auto compaction is very good -oai is giving their team unlimited usage for free to test right now -ability to use other harnesses (pi, opencode)
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Twitter was generally unhappy with oai then, but it didn’t really affect developer choice behind the scenes. what ppl tweet and what they pay for are different I tried it after some of these convos and have mostly been using codex since
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I can’t help think the broader backlash against Anthropic is partially just downstream of vibes on model intelligence, people don’t realise fable is good yet
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Nitya retweeted
Human biology matters. Scientists and AI need human data to understand health and disease. Crownlands is open sourcing Gateway 4M, the largest single-cell tissue dataset ever released from living humans, to advance research on brain aging and neurodegeneration.
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Murakami ran a club for 10 years and at the age of 30, started both writing full time and running every single day this isn’t a book I particularly liked but it’s interesting how much running has clearly impacted his writing style
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the recurring bit in every Murakami novel is that the protagonist goes on a grand adventure only to realise the thing or person they were looking for was themselves, or in front of them all along. running is a very similar 1:1 sport
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made an rss feed 19 years later
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my bagel jewish
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the day I actually understand this book all of you will know
Warning: once you learn category theory, you'll never be able or willing to talk with people who don't know category theory.
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“I will try to tell you what you need to know, and no more” if you haven’t read Ravi vakils book on category theory do yourself a favor and read the first chapter so you know what good technical writing can look like
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speaking at localhost! come listen to me talk at a conference about things I work on think about every day
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. @nityasnotes from @ExaAILabs is joining us at Render localhost, June 18 in SF. Web search for agents in production is harder than it looks. She'll walk through architecture, sub-agents, and what it takes to make it reliable at scale. Save your spot: localhost.render.com
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I've worked in biotech to AI and the main path to doing interesting work in new fields is that you have to take personal time to learn the fundamentals, there is no shortcut around it this should feel difficult
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approximate knowledge of many things can get you far but especially with AI, deep understanding of a few things gives you much more leverage to do things well @justinskycak has a bunch of posts around this for math learning in general
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I MISS NYC
My barber said let’s go spurs jokingly and I got out the chair and left. When will people understand. This is not a fucking game.
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that tweet is how I want to react to things in my brain but I stop myself 101
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on the accidental invention of cyanide
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this book feels like it was written exactly for my brain I'm taking a week to read each chapter
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sitting here thinking about how much I miss the subway rats
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trying to work in 2026: - slack is down - github isn't working - cloud provider blocked your account software engineering is over
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