vibe-coding | co-founder github.com/Taraxa-project | director @ Monitor Deloitte | founder @ IoT & health startups in China | EE @Stanford

Joined March 2009
233 Photos and videos
Why did Anthropic have to give us a hit of the good stuff and then take it away....
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American expats' new pickup line overseas, "Hey baby, want to go back to my place and I'll show you my Anthropic Fable API token?"
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By default AI creates front-end code where every element is hand-crafted just for that element with no concept of base -> inherited styling. Right now asking AI to retroactively cluster frontend elements by role & functionality to back out a correct system.
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Steven Pu retweeted
The next war won't be won by armies, navies or air forces alone. It'll be won by the country whose 19 year olds can code, whose factories can build drones in weeks not years, and whose grid stays on when someone tries to switch it off. Industry. Society. Economy. That's the fight now. We're not ready. And we're not being honest about what getting ready will cost.
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Absolutely nuts. I had literally thought about why something like this doesn't exist yet ~5 days ago. If this does just a fraction of what it claims, it'd blow platforms like Roblox out of the water.
Meet Higgsfield Games. For the first time, build and deploy multiplayer games from one prompt, in any genre, 2D or 3D, with best-in-class characters, props, and settings generated by Higgsfield MCP. Powered by Claude Fable 5. Try on Claude via MCP and on our Supercomputer.
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Wow, very first time I see @GeminiApp cite @grok grokpedia. Cited multiple times in the same session too, with no Wikipedia citations at all, when it contained the same information entries. Maybe grokpedia performs better with agents?
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Words I learned from @claudeai code last week by looking at the way it names variables, ablation entailment Thanks Claude, I'm ready for the local spelling bee.
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LLMs perfectly understands misspelled words, poorly constructed phrases, mis-labeled concepts, a whole host of things that it just auto-corrects. Hate to dunk on a builder but this is really not that useful.
I kept spotting typos in my Claude Code prompts after I'd sent them. So I built tuipo β€” Grammarly for your terminal It underlines typos as you type in any TUI β€” CC, Codex, Aider, vim, your shell β€” and never touches the app it wraps. github.com/ARahim3/tuipo @steipete @bcherny
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Steven Pu retweeted
Replying to @_ARahim_ @bcherny
only boomers fix typos in prompts. llms perfectly understand you even if you mistype.
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Maybe I'm late to the party but, feels like web-based UI/UX are going to rapidly go away. Going forward the primary UI is going to be an iterative agent chatbox, and all the browser rendering infrastructure will just be visualizing agent outputs.
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Sure hope so... @claudeai
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Running an experiment with @claudeai code just now, "The experiment failed, because I didn't do X, and it diverged from prior runs. Therefore, we should abandon this line of thinking because it's not reliable." uh... how about we actually do X? Opus 4.8 btw.
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Dogfooding tackit on a really large-scale project just 100x confirms the need for tightly scoped & durable task management and dependency graphs. These 30 .md planning documents @claudeai code put together are drifting so hard.
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tackit 0.7 -> 0.8.1, more dog-fooding, highlights: filtering for ls/board ops for efficiency bulk link creation & resolution FTS query sanitation escapes special chars skill against semantic links & book-keeping -- trimmed summaries from ls/board to reduce bloat
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Steven Pu retweeted
tackit 0.7 -> 0.8.1, more dog-fooding, highlights: filtering for ls/board ops for efficiency bulk link creation & resolution FTS query sanitation escapes special chars skill against semantic links & book-keeping -- trimmed summaries from ls/board to reduce bloat
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Things @claudeai says & what they actually mean, πŸ˜€"What I'd push back on" -> catching your errors 😐 "Good instinct" -> needless ingratiation 😡 "Honest answer" -> huge AI fuckup just happened
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Could just be people building their own personal apps, and don’t want to deal with janky TestFlight.
Massive output uptick due to agentic AI. Complete flat adoption.
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AI is fighting back HARD against behavioral modification. It largely stopped creating tasks that are indices of other tasks, but, it snuck this behavior back by burying semantic (instead of graph edges like it's supposed to) dependencies inside task descriptions. Forced me to write another rule in skills. I respect the AI's game. 🫑
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Steven Pu retweeted
Skill issues at big company means small new ones can eat their lunch
If big companies can't make a net return on their LLM token costs, that doesn't mean it's impossible to. In fact this is exactly what you'd expect to happen with a new technology. Incumbents can't use it well, and are replaced by upstarts who can.
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