Project ideas from Hacker News discussions.

Can you reverse engineer our neural network?

📝 Discussion Summary (Click to expand)

Three dominant threads in the discussion

# Theme Key points & representative quotes
1 Talent “wasted” on finance, advertising and other low‑impact sectors “All I think when I see this is 'this intelligence wasted on finance and ads.'”wittyusername
“We don’t have any reliable and scalable way of doing this allocation, though, so it’s a bit like saying that all the resources are wasted being locked up in asteroids.”0x3f
“The smartest people are going from Harvard et al. into finance, adtech, investment banking, wallstreet.”KellyCriterion
2 Allegations that Jane Street is manipulating markets (Bitcoin, ETFs, etc.) “Multiple cases of market manipulation. It’s a super shady operation.”davedx
“Jane Street has direct access to the pipe that connects the Bitcoin ETF to actual Bitcoin, and almost nobody else does.”tasuki
“They were responsible for big BTC dumps.”kobieps
3 The technical puzzle – reverse‑engineering a neural‑net MD5 implementation “Input → the integer weights and repeated ReLU blocks indicate a hand‑designed deterministic program rather than a trained model.”gormen
“The puzzle becomes solvable not by interpreting 2500 layers, but by repeatedly shrinking the search space until only one viable function family remains.”gormen
“Model interpretability is going to be the final frontier of software.”bethekind

These three threads capture the bulk of the conversation: a critique of where top talent is deployed, a specific accusation against a major trading firm, and a deep dive into a challenging reverse‑engineering puzzle.


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