California
Joined May 2022
Meet the new Stitch, your vibe design partner. Here are 5 major upgrades to help you create, iterate and collaborate: 🎨 AI-Native Canvas 🧠 Smarter Design Agent 🎙️ Voice ⚡️ Instant Prototypes 📐 Design Systems and DESIGN.md Rolling out now. Details and product walkthrough video in 🧵
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More like Denny’s
That's like Del Taco trying to buy Nvidia lmao
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I think, therefore I must be an earlier generation model
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that’s why I’m preparing my toddlers to be athletes
The jobs of the future will be ones where a human doing it is valued more than pure job performance. Most people who say “well, I’d never prefer a robot for *that* job” are smuggling in an assumption that the human will be better at it. Once you notice this error it’s everywhere.
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Claude doesn't know what time it is or when previous messages were, which makes it less useful for ongoing chats (i.e. it doesn't know if it's been 3 days or 3 minutes since that last message). It sometimes even just guesses a wrong time? @alexalbert__ please add message times!
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Scott Swingle retweeted
I have never been more certain that if AI development stopped today, we would still have massive & rolling disruption across society & the economy for the next ten years as people figured out how to harness what models can already do. And the end of AI progress seems unlikely.
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didn't even pause at 50%...
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Scott Swingle retweeted
Replying to @GregKamradt @willcb
on why it's important and beautiful
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Olympic athlete (the last human job?) training going well. She’s 16 months
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Scott Swingle retweeted
Thought of a few more things on summarization, truncation, committing and process 🧵
Sad we couldn't make the business work. Thought I'd share some of my favorite ideas of ours on agent design 🧵
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Replying to @ja3k_
I think you identified most of the mistakes. I think the blind spot was really undervaluing design, marketing, and sales; common pitfalls for engineering heavy teams. You guys out-engineered the field massively, but the UX held back the adoption and sales process.
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I think context windows will be enough a big chunk of context will be snippets of mistakes made previously by agents in similar situations. models will vastly improve at generalizing from these and training models with consistent/"native" memory harness/tools
big unresolved question right now: will memories / continual learning be in weights or context window (via harness / memory tools) or both
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big unresolved question right now: will memories / continual learning be in weights or context window (via harness / memory tools) or both
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Scott Swingle retweeted
Sad we couldn't make the business work. Thought I'd share some of my favorite ideas of ours on agent design 🧵
We're shutting down Mentat. Thank you to our users! Many of you tell us it's your favorite coding agent. We just didn't reach sustainable growth. I'm proud of our exceptional team: @ja3k_, @granawkins, @plutobyte. Reach out if you want to talk!
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We're shutting down Mentat. Thank you to our users! Many of you tell us it's your favorite coding agent. We just didn't reach sustainable growth. I'm proud of our exceptional team: @ja3k_, @granawkins, @plutobyte. Reach out if you want to talk!
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a jump in growth rate from 0.2% to 2% sounds suspicious, but: imagine the economy HAS grown 2% year for the last 2000 years. Then 2000 years ago global GDP would have been just $0.0008 total (not per capita!)
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Haiku 4.5 does well on LoCoDiff: better than GPT-5, about the same as Gemini 2.5 Pro
Introducing Claude Haiku 4.5: our latest small model. Five months ago, Claude Sonnet 4 was state-of-the-art. Today, Haiku 4.5 matches its coding performance at one-third the cost and more than twice the speed.
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why LoCoDiff is the best long context benchmark: xitter.cf/bio_bootloader/status/…
LoCoDiff: Natural Long Context Code Bench can models reconstruct the current state of code files, given the diff history? - naturally interconnected content. no padding or junk context - simple generation and eval - reasoning models do the worst - except Sonnet 3.7!
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