Earl Lee (@earlvlee) 's Twitter Profile
Earl Lee

@earlvlee

is a language model trained on product @hightouchdata, founder @headsupai, ms/mba @harvard, vc @costanoavc, early $note, cs @yale

ID: 157048679

linkhttp://earlvlee.com calendar_today18-06-2010 18:07:59

1,1K Tweet

481 Followers

567 Following

Geoffrey Litt (@geoffreylitt) 's Twitter Profile Photo

## AI as teleportation Here's a thought experiment for pondering the effects AI might have on society: What if we invented teleportation? A bit odd, I know, but bear with me... --- The year is 2035. The Auto Go Instant (AGI) teleporter has been invented. You can now go

Earl Lee (@earlvlee) 's Twitter Profile Photo

Vibe coding is powerful and fun but feels like eating junk food. Fast and easy with short term satisfaction. Long term, the code becomes convoluted, brittle, and painful. Coding with AI (thoughtfully and only at the pace which you understand the code) feels more sustainable

Earl Lee (@earlvlee) 's Twitter Profile Photo

with Boris Cherny and roon claiming that Claude Code or Codex write 100% of their code, feels like IDE value collapses into one thing: code review. curious how IDE-centric tools like Cursor are thinking about this

Earl Lee (@earlvlee) 's Twitter Profile Photo

as a kid, i'd read popular science magazines and feel this sense of wonder—not at any particular invention but at learning how fast the boundaries of possibility keep expanding. ai today brings that feeling back. relearning, reaccelerating, and reigniting excitement

Earl Lee (@earlvlee) 's Twitter Profile Photo

apple bringing "lovable" directly into macos and allowing users to build personalized apps that precisely solve their use case would be fascinating; it's basically shortcuts if they were built today

Earl Lee (@earlvlee) 's Twitter Profile Photo

my mental model for agentic search > embeddings: embeddings compress text into vectors then compare normalized forms (lossy) agentic search expands queries into search strategies → iterative refinement (generative) one discards signal, the other creates; inverse approaches

Earl Lee (@earlvlee) 's Twitter Profile Photo

a recent linkedin post from dharmesh has me thinking: the best companies will use vibe/agentic tooling to extend, customize, and integrate with the products they use. this means, we can't just build products for human customers. we must build for vibe/agentic tools that act on

a recent linkedin post from <a href="/dharmesh/">dharmesh</a> has me thinking: the best companies will use vibe/agentic tooling to extend, customize, and integrate with the products they use.

this means, we can't just build products for human customers.

we must build for vibe/agentic tools that act on
Earl Lee (@earlvlee) 's Twitter Profile Photo

in the near future, engineers will be orchestrating swarms of agents to do their bidding that near future is already today at companies like Ramp where merged PRs generated by ai agents are quickly reaching the majority the bottleneck in this future aren't the models, it's

Earl Lee (@earlvlee) 's Twitter Profile Photo

the speed of change is so exciting: last week i learned `tmux` to multiplex claude code w/hotkeys this week, it's built-in w/tmux flag; agent teams also auto-spawn panes i've had worktrees on my to-learn list, but before i got to it, claude code shipped `--worktree`

Earl Lee (@earlvlee) 's Twitter Profile Photo

the really cool thing about ai is that there's so much whitespace for simple engineering solutions to stepwise increase performance, quality, etc e.g. instead of having models make multi-turn tool calls, ask it to write a script to make multiple tool calls at once

Aakash Gupta (@aakashg0) 's Twitter Profile Photo

There's a physicist at Stanford named Safi Bahcall who modeled this exact principle and the math is wild. He calls it "phase transitions in human networks." When you're stationary, your probability of a lucky event is limited to your existing surface area: the people you already