AI improving itself (or at least the architecture it runs on), the singularity is near as they say. Do we have other examples of AI being used to improve the LLMs, apart for the creation of synthetic data and the testing of the models?
AlphaEvolve: Gemini-powered coding agent scaling impact across fields
11–20 of 159 posts
Re: AlphaEvolve: Gemini-powered coding agent scaling impact across fields
#12AI improving itself (or at least the architecture it runs on), the singularity is near as they say. Do we have other examples of AI being used to improve the LLMs, apart for the creation of synthetic data and the testing of the models?
Yes, last year when they revealed AlphaEvolve they used a previous gemini model to improve kernels that were used in training this gen models, netting them a 1% faster training run. Not much, but still.
Re: AlphaEvolve: Gemini-powered coding agent scaling impact across fields
#13AI improving itself (or at least the architecture it runs on), the singularity is near as they say. Do we have other examples of AI being used to improve the LLMs, apart for the creation of synthetic data and the testing of the models?
It’s a simple harness around Opus, but with tight integration to Hugging Face infra, so the agent can read papers, test code and launch experiments
Re: AlphaEvolve: Gemini-powered coding agent scaling impact across fields
#14Re: AlphaEvolve: Gemini-powered coding agent scaling impact across fields
#15Are Googlers themselves happy using Gemini coding agent instead of Claude Code or Codex? (no snark, I'm really asking)
Re: AlphaEvolve: Gemini-powered coding agent scaling impact across fields
#16Are Googlers themselves happy using Gemini coding agent instead of Claude Code or Codex? (no snark, I'm really asking)
Re: AlphaEvolve: Gemini-powered coding agent scaling impact across fields
#17Are Googlers themselves happy using Gemini coding agent instead of Claude Code or Codex? (no snark, I'm really asking)
Last month, Steve Yegge suggested that they are not: https://xcancel.com/Steve_Yegge/status/2043747998740689171
This is a bunch of gabagoo. Wrong on so many layers, it's not even worth reading further.
a) goog has agentic coding in both antigravity & cli forms. While it is not at the level of cc + opus, it's still decent.
b) goog has their own versions of models trained on internal code
c) goog has claude in vertex, and most definitely can set it up in secure zones (like they can for their clients) so they'd be able to use claude (at cost) within their own projects.
Re: AlphaEvolve: Gemini-powered coding agent scaling impact across fields
#18Are Googlers themselves happy using Gemini coding agent instead of Claude Code or Codex? (no snark, I'm really asking)
Re: AlphaEvolve: Gemini-powered coding agent scaling impact across fields
#19AI improving itself (or at least the architecture it runs on), the singularity is near as they say. Do we have other examples of AI being used to improve the LLMs, apart for the creation of synthetic data and the testing of the models?
I feel like the most viral lately is https://github.com/karpathy/autoresearch
Re: AlphaEvolve: Gemini-powered coding agent scaling impact across fields
#20Are Googlers themselves happy using Gemini coding agent instead of Claude Code or Codex? (no snark, I'm really asking)
Last month, Steve Yegge suggested that they are not: https://xcancel.com/Steve_Yegge/status/2043747998740689171