Lucas Wonderley

[Lucas Wonderley @LucasWonderley]

Software engineers never think of themselves as part of the permantent underclass, just temporarily embarrassed non-Anthropic employees

[saila @sailaunderscore]

Until the age of 32, every single able-minded man believes given sufficient time to prepare he could get a job at OAI or Anthropic.

[Lucas Wonderley @LucasWonderley]

@hpmcd1 seems right

[Lucas Wonderley @LucasWonderley]

@paulg yes

[Lucas Wonderley @LucasWonderley]

if mythos doesn't call everything i say load-bearing i'm not using it

[Lucas Wonderley @LucasWonderley]

@wordgrammer > (3) the argument would take 10 hours to write
use AI

[roon @tszzl]

you dont have to believe in existential risk or job loss for this to be scary: ai is real, you can replicate human thought in machines. it is redefining what it means to be human. even if they are strictly corrigible tools that do what we ask, this can be traumatic

[Lucas Wonderley @LucasWonderley]

Not enough AI discourse on this website

[Lucas Wonderley @LucasWonderley]

The Pacific Ocean is big

[Simon Last @simonlast]

1/ Some things I've learned recently running coding agents on large-scale projects. Most of this contradicts advice from 6 months ago!

[Balaji @balajis]

It’s possible technology changes this. But right now, AI agents aren’t truly autonomous. They are built for the prompt, bots on a leash. Amplified intelligence as wholly distinct from truly artificial intelligence.

The much-cited METR study doesn’t change that. Read the critique linked below; it notes that there METR shows a sigmoid on the messiest tasks.

Even anecdotally…agentic workflows absolutely do help, and time horizons have been lengthening since Claude Cowork. But it’s just not the panacea it’s made out to be. Human prompting and verification remains the bottleneck, because digital AI only does it middle-to-middle, not end-to-end.

Anyway: in the absence of constant human verification, it’s extraordinarily easy to fill a codebase with economically irrelevant slop.

It’s the principal/agent problem all over again, with human principals and AI agents. High agency actually means exerting high levels of human control over highly expensive agents.
https://t.co/Ub2rWub4xo

[Lucas Wonderley @LucasWonderley]

@corsaren This was great. I lol'd at good boi guy and redness guy

[Lucas Wonderley @LucasWonderley]

Yeah I'd say we NAILED IT

[kache @yacineMTB]

You should be a generalist. Generalists can make tradeoffs across the entire stack. It's better in every way, trust me. You can do things that other people couldn't have, you can be creative. The only cost to do so is your ego. You need enough humility to be a permanent amateur

[Lucas Wonderley @LucasWonderley]

tokens >> tariffs

[Nate McGrady @natemcgrady]

cursor after I send “still broken” for the 15th time:

[Lucas Wonderley @LucasWonderley]

one small step to extract audio... 🧑‍🚀🎧

[Lucas Wonderley @LucasWonderley]

responding to bad news or challenges as a project manager...

[Lucas Wonderley @LucasWonderley]

@Molson_Hart The employee does not need to own the agenda

[Lucas Wonderley @LucasWonderley]

microdecisions 🔬

[Lucas Wonderley @LucasWonderley]

@AaronBergman18 Shouldn't it be 64/4?

Not to be pedantic, I think it's a really worthwhile premise. Although I probably don't agree with the application