ttanveer

3 ms·

1. 1.▲
   by ttanveer 6mo ago

   I imagine the generous limit we felt were just from the 2x codex was offerring. I also felt the regression, and only recently remembered they had this.
2. 2.▲
   Levi: Outperforming GEPA/OpenEvolve/AlphaEvolve with 7x cost savings(ttanv.github.io)

   2 points by ttanveer 6mo ago|1 comments
3. 3.▲
   by ttanveer 6mo ago

   Hi HN! Working on sth and wanted to share. Most open-source AlphaEvolve alternatives (OpenEvolve, ShinkaEvolve, GEPA) assume you'll throw a frontier model at every mutation. Thats a bummer for most people trying to enter this domain. L
4. 4.▲
   Levi: Beating GEPA/OpenEvolve/AlphaEvolve at a fraction of the cost(github.com)

   2 points by ttanveer 7mo ago|0 comments
5. 5.▲
   by ttanveer 7mo ago

   That seems to make sense. Any suggestions to improve this skill of reviewing code? I think especially a number of us more junior programmers lack in this regard, and don't see a clear way of improving this skill beyond just using LLMs
6. 6.▲
   by ttanveer 7mo ago

   It's interesting that this dilemma (of getting quick and easy wins) is occurring at multiple levels. Even as a junior researcher, its often tempting to hand off actuall thinking and reasoning about one's research to AI (e.g. blind