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AI Lab · by Minh Nguyen · 2026-10-17

Synthetic data for training: genius or model collapse in slow motion?

Seeing more teams train on model-generated data. Quality filtering seems to be the whole game. Thoughts?

23 sparks · 15 comments

Comments

Miguel Santos · 13 likes

My manager read one article on synthetic data and now it's our whole roadmap lol

Rapid Sparrow · 14 likes

send help

Mango Panda · 1 likes

I've lived this exact meeting

Oussama Alaoui · 7 likes

We tried synthetic data last quarter, worked great for small stuff, got messy at scale

Ananya Rao · 1 likes

Good point, didn't think of that

Finn Brown · 5 likes

Is anyone else tired of the hype around synthetic data, feels like every other post is about it.

Avery Johnson · 5 likes

Good point, didn't think of that

An Pham · 4 likes

As someone who does this for a living, the biggest cost with synthetic data is the stuff nobody puts in the demo

Angel Reyes · 7 likes

wait until you see the invoice

Quiet Runner · 4 likes

The beginner friendly path for synthetic data is way better than a year ago, that part is underrated!

Tiago Costa · 3 likes

lol my cat has stronger opinions on it than I do

Aoi Ito · 1 likes

cost vs benefit matters here, we ran numbers on synthetic data and the payoff came later than expected!

Liam Wilson · 0 likes

send help

Avery Johnson · 0 likes

Would love to see actual data on synthetic data instead of vibes. Anyone have links

Avery Johnson · 6 likes

Fair enough