Executive TL;DR:

• Auto-research with Codex boosts kernel speed by 232x.
• DeepSeek v4 releases enable rapid benchmarking and improvement.
• Experts achieve significant performance gains with minimal effort.

The Buzz Score

The Internet’s Verdict: 70% Hyped, 30% Skeptical

Expert Insights

Experts are excited about the potential of auto-research with Codex. One expert notes:

In the last couple of days I wanted to try out the new definitive DeepSeek v4 releases. I gave it the repository of a semi-abandoned video compression codec and I told it to perform the usual benchmark -> profile -> verify -> research -> improve loop.

Another expert comments on the ease of use:

Personally, I believe that LLMs should be treated like an advanced version of Prolog or linear programming: you give the constraints, you have a way of verifying correctness, and you give it a clear goal.

Technical Details

The process involves giving the agents access to the compiler’s profiler and Intel’s VTune, which has fantastic output. The LLM generates SSE and AVX implementations of the compression and decompression algorithms, almost doubling performance with a single core.

Focus Keyword: Auto Research