Omar Sanseviero, Developer Experience lead at Google DeepMind, discusses the transition from manual fine-tuning scripting to autonomous agent-driven experimentation.
“I do think the next generation of fine tuners will not be, I mean, will be people that are not coding at all, right? Like one year ago, we had to write like our own Colab with Transformers or Oncelot or whichever library of your choice. I do think as we like keep evolving, like most people will be fine tuning with a couple of skills, right? Like Hogan face has skills, like all of these libraries have skills. They will just prompt their agent to kick off like some experiments and see what works, what doesn't work.”
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More from Omar Sanseviero
PredictionOpen · timeframe May 2028
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“I do think We are heading towards a future in one, two years where imagine like you can run a Gemini three pro powerful model directly in your phone, right?”
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“Just changing how the model behaves, you can do most, most of that via prompting nowadays, and in terms of capabilities, the models are very good out of the box.”
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“MOEs are challenging to fine tune. I don't know if we've talked about that in the past, but MOEs in general are like an extremely good architecture. They work great for inference. But when people fine tune them, they struggle a bit. Like they are not as easy t…”
Omar SansevieroMay 24, 2026▶ 17:28⚡️ Google's Open AI Strategy — Omar Sanseviero, Google DeepMind
PredictionNot checkable as stated
Sanseviero: Deep architecture research will not be automated within two years
“If you want to do, like, deeper research in the architecture, my hunch is that most likely this will not be, like, automatable, at least in the next one or two years.”
Omar SansevieroMay 24, 2026▶ 25:47⚡️ Google's Open AI Strategy — Omar Sanseviero, Google DeepMind
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