AI Lab · by Mateo Cruz · 2026-10-03

My favorite low-effort upgrade for machinelearning from my rainy evening notes

> Tiny progress is still progress.

That line sounds cheesy, but it got me through the part where machinelearning stopped feeling new.

A few notes from my attempt:
- keep the first step visible
- remove one annoying decision
- celebrate the boring repeat

I had a disappointing first try, a surprisingly good second try, and then a third attempt that taught me humility. So, naturally, I now have opinions.

> Tiny progress is still progress.

That line sounds cheesy, but it got me through the part where machinelearning stopped feeling new

49 sparks · 12 comments

Comments

Rapid Coder · 11 likes

Great point, especially the part about notes. I used to overcomplicate this constantly

Noah Miller · 7 likes

Good reminder that boring can be good. My only addition is to make the first step visible. Naming things remains undefeated as the hardest problem

Amelia Hughes · 4 likes

Amazing how much difference one small change can make. The social part surprised me too. Good reminder that tools should serve people, not the reverse

Quiet Noodle · 2 likes

I love this. It feels practical without pretending life is neat. This pairs weirdly well with lentil soup

Ananya Rao · 7 likes

That is the part people skip

Kabir Khan · 1 likes

good clarification — I read it differently at first

Minji Kim · 2 likes

this is adorable and oddly motivating. I would write it down before changing anything else

Sophie Gagnon · 3 likes

I think both things can be true

Nour Ali · 1 likes

interesting. I would like to see how it changes after 2 months

Paolo Garcia · 0 likes

I disagree a bit. rainy matters, but the bigger issue is usually expectations. This would have saved me a lot of trial and error

Ren Suzuki · 1 likes

@brave_rider94 That is a much better way to say it

Maya Putri · 0 likes

This is useful for some cases, but terrible advice if the stakes are high. The a neighborhood park detail changes the whole answer