Prediction Open AI assessment confidence: 95% certainty 3/5 debate potential 3/5

Smartphones will run Gemini 3 Pro-level models locally within two years

Omar Sanseviero · ⚡️ Google's Open AI Strategy — Omar Sanseviero, Google DeepMind · May 24, 2026 · at 5:51

Google DeepMind's Omar Sanseviero forecasts rapid advancements in on-device AI parameter efficiency and hardware capabilities.

0:00 / 0:08exact quote · 8.9s
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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?”

quote is from the automated transcript, cleaned for reading: filler sounds and stutters are removed, nothing is rephrased. names can be misheard (the analysis reads context, assessments check outside sources). how →

More from Omar Sanseviero

Assertion Supported
Sanseviero: AI labs republished model merging techniques previously created on Reddit
“Yeah, like all of the FrankenMoe stuff, like all of the Axolotl library, like all of these tools, and there were papers published by different companies and research labs one or two years later that were rediscovering what was already done by The Reddit or Dis…”
Omar Sanseviero May 24, 2026 ▶ 23:45 ⚡️ Google's Open AI Strategy — Omar Sanseviero, Google DeepMind
Insight
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“With local models or models that you can run in your own hardware, you can get capabilities, so you can get agent capabilities, function calling, system instructions, like conversational, and that kind of stuff. Knowledge is much trickier, so for knowledge, yo…”
Omar Sanseviero May 24, 2026 ▶ 5:26 ⚡️ Google's Open AI Strategy — Omar Sanseviero, Google DeepMind
Insight
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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.”
Omar Sanseviero May 24, 2026 ▶ 14:32 ⚡️ Google's Open AI Strategy — Omar Sanseviero, Google DeepMind
Insight
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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 Sanseviero May 24, 2026 ▶ 17:28 ⚡️ Google's Open AI Strategy — Omar Sanseviero, Google DeepMind
Prediction Not 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 Sanseviero May 24, 2026 ▶ 25:47 ⚡️ Google's Open AI Strategy — Omar Sanseviero, Google DeepMind
Assertion Supported
Gemma 4 E2B loads only 2B of 5B parameters into GPU
“So the GEMA for model is a E to B. That means that it effectively has two billion parameters loaded into the GPU. It actually has almost five billion parameters, but those three billion parameters can be in the CPU, they can be in the disk, which means that yo…”
Omar Sanseviero May 24, 2026 ▶ 0:52 ⚡️ Google's Open AI Strategy — Omar Sanseviero, Google DeepMind
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