Desmond Choy (@Norest) header
Desmond Choy (@Norest) profile picture

Builder. Student. Dad. Banner image by @liamwong.

Singapore
Joined March 2009
Photo by Desmond Choy (@Norest)Photo by Desmond Choy (@Norest)Photo by Desmond Choy (@Norest)Photo by Desmond Choy (@Norest)Photo by Desmond Choy (@Norest)Photo by Desmond Choy (@Norest)Photo by Desmond Choy (@Norest)Photo by Desmond Choy (@Norest)Photo by Desmond Choy (@Norest)Photo by Desmond Choy (@Norest)
Desmond Choy retweeted
"GPT-6 Astra, use Ableton Live and make an absolute banger". AGI is here.
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Desmond Choy retweeted
started texting our CTO like Fable 5
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Desmond Choy retweeted
I talk to so many tech leaders at huge companies every week. One of the most brutal failure patterns for executive teams right now is thinking that AI is like SOC 2 compliance: a new checkbox item that they have to allocate some resources to, to make their governance people happy. They think, we'll get AI "done" in Q3 or Q4 and finally be able to move on to other stuff. What they don't see is that their entire company is going to change shape over the next few years, regardless of what they think, or want. Their current hierarchy will be gone, nearly unrecognizable from what gets rebuilt in its ashes. Everyone will be conducting their business VERY differently from how they do it today. AI not some compliance drill. Leaders need to get in front of this situation before it overwhelms them.
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Desmond Choy retweeted
HTML is the new markdown. I've stopped writing markdown files for almost everything and switched to using Claude Code to generate HTML for me. This is why.
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Desmond Choy retweeted
🚇🇸🇬 we made a SG MRT station guessing game - 3 tries to match the names to 5 stations on the MRT map - hints provided for line + direction - speedrun mode so you can brag to friends - island-wide tour if you're good enough try it here: 👉 mrt.eiti.dev 🚇
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Desmond Choy retweeted
I put a lot of heart into my technical writing, I hope it's useful to you all. 📌 Here's a pinned thread of everything I've written. (much of this will be posted on the Claude blog soon as well)
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Desmond Choy retweeted
Day 3. Kids begging to do homework. Turns out if you wrap fractions in dragon quests, they don't notice it's learning. odysseyos.polsia.app
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Desmond Choy retweeted
Self-directed learning through AIs is an autodidact’s paradise.
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Desmond Choy retweeted
We're giving away an 11-page guide titled: “How to clone your voice and make an agent in <10 minutes” (Like we did for Elon and Karan). It can call support to complain on your behalf, make reservations, prank your friends, etc. You also get $100 in free credits so you can play with your voice AI. Retweet and comment "SONIC" below and we'll send you the step-by-step guide and $100 in credits.
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Desmond Choy retweeted
retweets appreciated hi folks, some important life news i’m looking for a new employer - contact via ghuntley@ghuntley.com this is your chance to nab someone who is nine months in with knowledge on building agents, is a teacher and prolific author and public speaker. I’m based in Sydney, Australia but work remotely. Role guidance IC5. SF.
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Desmond Choy retweeted
i can't think of a non-cliche way to say this, but everyone who says having a kid is the best thing in the world is both correct and still somehow understating it.
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lol GitHub’s MCP has ~ 50k token, when there’s a perfectly great gh cli that models can use with world knowledge, requiring ZERO token.
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😭 Sad news: OpenAI's gpt-oss "open" models aren't the "Sonnet at home" we hoped for; they're censored, benchmaxxed Phi-style LLMs built from synthetic data. Forget jailbreaks; there's no point in escaping if there's nothing outside the prison! More AI censorship from the "Land of the Free", while China continues to offer greater AI openness. Ironic, isn't it?
Starting to feel like this gpt oss was trained on like 20T tokens of distilled safe maybe even benchmaxxed data from o3. There seems to be no base model underneath.. Is this phi 5 maxx?
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Introducing Genie 3, the most advanced world simulator ever created, enabled by numerous research breakthroughs. 🤯 Featuring high fidelity visuals, 20-24 fps, prompting on the go, world memory, and more.
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Desmond Choy retweeted
I open sourced Sniffly, a tool that analyzes Claude Code logs to help me understand my usage patterns and errors. Key learnings. 1. The biggest type of errors Claude Code made is Content Not Found (20 - 30%). It tries to find files or functions that don't exist. So I restructured my code base for discoverability, and the average number of steps Claude Code needs for each instruction went from 8 to 7 steps.
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An MIT Media Lab study made its viral rounds last week. It showed that if students outsource cognitive effort to ChatGPT, they don’t end up as cognitively engaged. Let me rephrase that: if you get a machine to do your homework without engaging with the content, you don’t learn the material. I suppose next we’ll learn that using a forklift doesn’t build your biceps. (Don’t test my love for you, MIT.) This study is about cognitive offloading, not cognitive debt, and most certainly not cognitive erosion. Cognitive offloading happens when great tools let us work a bit more efficiently and with a bit less mental effort for the same result—the spreadsheet didn’t kill math; it built billion-dollar industries. Why should we want to keep our brains using the same resources for the same task? If anything, the real question isn’t how much we’re offloading. It’s what we’re doing with the capacity we free up. I wrote more about this very topic in my latest Substack 👉 decision.substack.com/publis… If you found this useful, a repost ♻️ makes my heart happy. And a subscription to my newsletter makes my day. decision.substack.com #ai #neuroscience
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Nice - my AI startup school talk is now up! Chapters: 0:00 Imo fair to say that software is changing quite fundamentally again. LLMs are a new kind of computer, and you program them *in English*. Hence I think they are well deserving of a major version upgrade in terms of software. 6:06 LLMs have properties of utilities, of fabs, and of operating systems => New LLM OS, fabbed by labs, and distributed like utilities (for now). Many historical analogies apply - imo we are computing circa ~1960s. 14:39 LLM psychology: LLMs = "people spirits", stochastic simulations of people, where the simulator is an autoregressive Transformer. Since they are trained on human data, they have a kind of emergent psychology, and are simultaneously superhuman in some ways, but also fallible in many others. Given this, how do we productively work with them hand in hand? Switching gears to opportunities... 18:16 LLMs are "people spirits" => can build partially autonomous products. 29:05 LLMs are programmed in English => make software highly accessible! (yes, vibe coding) 33:36 LLMs are new primary consumer/manipulator of digital information (adding to GUIs/humans and APIs/programs) => Build for agents! Thank you again for the invite @ycombinator and congrats again on an awesome events! I'll post some links/references in the reply.
Andrej Karpathy's (@karpathy) keynote yesterday at AI Startup School in San Francisco.
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The year my son got cancer. DISCLAIMER: THIS IS A PRO BONO PIECE WRITTEN IN COLLABORATION WITH THE CHILDREN'S CANCER FOUNDATION.
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