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    Tae Kim Reports No Gemini 4 Timeline From DeepMind

    Journalist Tae Kim flags missing release details from DeepMind interview.

    GO
    TK
    3 Sources, 29d ago, first seen 29d ago

    TLDR

    Tae Kim posted that Google is still pursuing frontier AI models yet offered no update on a 3.5 Pro release during a recent appearance. He described awkward laughter from the host and new DeepMind leader Koray Kavukcuoglu when the topic arose. Kavukcuoglu called Gemini 4 the most ambitious run but supplied no schedule. Kim also noted the absence of any Gemini 4 timeline in the exchange. The comments come from Kim's account of the public discussion.

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    3 Sources, first seen 29d ago

    Combined views

    271.6K

    3 Sources, first seen 29d ago

    488 likes
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    71 comments
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    71 comments
    148 saves
    43 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    3 Sources

    @firstadopterThe good news: Google is not giving up on frontier AI! The bad news: No update on 3.5 Pro release. The host and the new DeepMind leader are both laughing awkwardly about it. Not great. No timeline on Gemini 4 either. -- DeepMind SVP and Chief AI Architect Koray Kavukcuoglu On Gemini 4: “Yes, it's the most ambitious run, correct. And yes, so far, touch wood, it's going well. I am very excited. The team is very excited. I look at these as like step by step, right? So far, everything is looking good. We are excited, but it's all about realizing that potential until we get to a moment that we are actually putting the model in front of users, first internally, then externally. I'm always in a very cautiously optimistic state.” On online discussion about whether Google cares about being on AI frontier: “I was surprised. I've seen this comments too, and I can understand, obviously, our quality of current models are a little bit below the frontier. Yeah. And that's fair enough. To put it very bluntly, There's nothing other than being at the frontier that is important for us. Yeah, that's it. All our goals, all our focus is always about that. And when we are making decisions, when we are making prioritizations in terms of ideas, in terms of what to do and what goals we should follow, it's all about being at the frontier. And I'm 100% certain that we will be at the frontier.” “So that's why I feel I have the whole trust for us to be able to achieve that frontier. That's all our goal. That's why we were set up.” Question: "And the context of us being very user-centric, lots of users asking, where is Gemini 3.5 Pro? So I'm curious if you can sort of give us a quick spiel on where the model is, as much as we're willing to say. [laughing]" Koray: :[laughing] "Look, as I said, there are parallel tracks. In our model family, we always have the Pro, the Flash, and the Flashlight. But at the same time, we are seeing really fast progress with our Flash models. We are working on 3.5 Pro at the same time because it's one of those parallel tracks because research happens in multiple scales at multiple times, right? But also, in terms of bringing the best thing forward for the users, we are seeing really good progress with Flash. We can iterate really fast." "So, like, we are just using that as our progress path right now. And 3.5 Pro, it's still, like, we are still working on it. But we are working on Gemini 4 as well at the same time." On missing agentic coding: “I think there are two things that we need to keep in mind. One is by definition in a very competitive environment, the frontier will always shift. There will be ebbs and flows of different things and the cadence and the frequency of like, which lab is producing their most capable model is gonna change." "That's number one. But number two is a fair point. And we talked about that in the context of 3.5, I think we learned a lot about agentic actions and agentic workflows." "And being able to bring that to life in a model, that's the process that we went through. Where I'm feeling right now, I'm feeling very, very, very comfortable and good right now where we are. And our capability of understanding what users need when they are working with an agent that is partnering with them on any kind of agentic task and workflow. But we went through that process of building that.”
    @Google@koraykv 🤝 @OfficialLoganK A new episode of Release Notes is available now. Listen for more of Koray’s and Logan’s conversation on the future of AGI and @GoogleDeepMind, our most ambitious pre-training model run to date, and more 👇 00:00 Intro 00:24 From models to coding agents 03:07 Gemini 4 pre-training 04:08 Why the frontier is all that matters 06:38 Leading frontier AI at Google 08:53 Why there's no test for AGI 10:58 Early days at DeepMind 15:08 Atari vs. real-world ambiguity 17:18 20 years of deep learning 18:47 The reality of engineering hill climbs 21:05 Why Google is the place to build AGI 22:19 Parallel model development 23:34 The shift to agentic coding 24:57 What makes models more intelligent

    3 Sources

    @firstadopterThe good news: Google is not giving up on frontier AI! The bad news: No update on 3.5 Pro release. The host and the new DeepMind leader are both laughing awkwardly about it. Not great. No timeline on Gemini 4 either. -- DeepMind SVP and Chief AI Architect Koray Kavukcuoglu On Gemini 4: “Yes, it's the most ambitious run, correct. And yes, so far, touch wood, it's going well. I am very excited. The team is very excited. I look at these as like step by step, right? So far, everything is looking good. We are excited, but it's all about realizing that potential until we get to a moment that we are actually putting the model in front of users, first internally, then externally. I'm always in a very cautiously optimistic state.” On online discussion about whether Google cares about being on AI frontier: “I was surprised. I've seen this comments too, and I can understand, obviously, our quality of current models are a little bit below the frontier. Yeah. And that's fair enough. To put it very bluntly, There's nothing other than being at the frontier that is important for us. Yeah, that's it. All our goals, all our focus is always about that. And when we are making decisions, when we are making prioritizations in terms of ideas, in terms of what to do and what goals we should follow, it's all about being at the frontier. And I'm 100% certain that we will be at the frontier.” “So that's why I feel I have the whole trust for us to be able to achieve that frontier. That's all our goal. That's why we were set up.” Question: "And the context of us being very user-centric, lots of users asking, where is Gemini 3.5 Pro? So I'm curious if you can sort of give us a quick spiel on where the model is, as much as we're willing to say. [laughing]" Koray: :[laughing] "Look, as I said, there are parallel tracks. In our model family, we always have the Pro, the Flash, and the Flashlight. But at the same time, we are seeing really fast progress with our Flash models. We are working on 3.5 Pro at the same time because it's one of those parallel tracks because research happens in multiple scales at multiple times, right? But also, in terms of bringing the best thing forward for the users, we are seeing really good progress with Flash. We can iterate really fast." "So, like, we are just using that as our progress path right now. And 3.5 Pro, it's still, like, we are still working on it. But we are working on Gemini 4 as well at the same time." On missing agentic coding: “I think there are two things that we need to keep in mind. One is by definition in a very competitive environment, the frontier will always shift. There will be ebbs and flows of different things and the cadence and the frequency of like, which lab is producing their most capable model is gonna change." "That's number one. But number two is a fair point. And we talked about that in the context of 3.5, I think we learned a lot about agentic actions and agentic workflows." "And being able to bring that to life in a model, that's the process that we went through. Where I'm feeling right now, I'm feeling very, very, very comfortable and good right now where we are. And our capability of understanding what users need when they are working with an agent that is partnering with them on any kind of agentic task and workflow. But we went through that process of building that.”
    @Google@koraykv 🤝 @OfficialLoganK A new episode of Release Notes is available now. Listen for more of Koray’s and Logan’s conversation on the future of AGI and @GoogleDeepMind, our most ambitious pre-training model run to date, and more 👇 00:00 Intro 00:24 From models to coding agents 03:07 Gemini 4 pre-training 04:08 Why the frontier is all that matters 06:38 Leading frontier AI at Google 08:53 Why there's no test for AGI 10:58 Early days at DeepMind 15:08 Atari vs. real-world ambiguity 17:18 20 years of deep learning 18:47 The reality of engineering hill climbs 21:05 Why Google is the place to build AGI 22:19 Parallel model development 23:34 The shift to agentic coding 24:57 What makes models more intelligent