Changes at Google DeepMind: Demis Hassabis from CEO to Chair, Jeff Dean departs

> sundar, softly: “we can create a permission working group.”

so true. i have attended meetings to decide on meeting topics for the next half.

I can see this as a screenplay for one of the KRAZAM[0] videos.

[0]: https://www.youtube.com/@KRAZAM

I remember a time when a tweet was 140 characters.

So believable until the last line, alas Gemini being this useful is completely implausible.

Nice post, but this reads as the Google of yesterday and the OpenAI of some near-distant future.

This is so good, it gave me flashbacks.

You made my day. As tragic as it reads, it is on point.

I can't be the only person who never finds these made up dialogues funny, right?

Best thing I read all day. I also work in a multi billion dollar enterprise and man this is so relatable it hurts.

Did Gemini created this Silicon Valley TV show episode script? Makes so much sense...

lmao that's actually so good

Mike Judge needs to do another Silicon Valley series on HBO

Pure gold, lol.

Regardless of how much I hate Musk, he did a great job of firing 80% of Twitter staff.

Anyone know how much these founders generally pay themselves / how much they receive in liquidity each raise?

You mean via taking secondary via subsequent rounds right? Or can they walk away with any if company flops after a giant 1st round.

I remember after that release everyone was saying "well obviously google is going to win this, we all knew it, they have the data and the infrastructure"

It was inspiring watching the Gemini 3 pro team launch the model and bike away into the sunset never to launch anything again

Correct, but it was preview release. I was referring to GA in my comment.

It’s a good substitute for search, but its effort is so low that it’s near useless for work compared to the other frontier AIs. Gemini focuses so much on response speed that everything else suffers.

It was always benchmaxxed

I mean it was legitimately frontier for all of a week or two, and then OAI and Anthropic made better releases, and then did that several more times over the year. Google’s pace is not cutting it.

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Google's internal tooling is still, hands down, better than anything that exists for the scale they operate at, and it's not even close.

Google's processes, however, is hands down the worst thing to exist for the scale they operate at, and it's not even close.

Google has close to the best internal tooling in the industry for a decade or so.

Then the Google engineers who joined Facebook missed it so much that they built a better replacement.

I have a friend at Google DeepMind who tells me that Google believes in AGI/superintelligence just as much as HN does, which is probably why no one with conviction wants to work there.

It's not a tooling problem. It's more of a layer of policy problems. If you realize that you cannot run a simple experimental code even in non-production environment for weeks due to 10s of privacy, security, access, process and legal issues where you gotta collect a bunch of approvals, this is critical. And the problem gets worse because the tooling is too good when it enforces. There used to be some holes and circumvention which are all gone these days. This is probably why they said "the infra is good for services but not for research".

The tooling is not the problem. If shit takes forever to launch, it's because there are many stakeholders that need to be satisfied (some for security, some for regulatory, some for the kinds of politics you get in a company that employs almost half a million people.)

Internal tooling? Didn't Jeff Dean write their internal tooling?

If the tools are all in the same monorepo idk if that's actually true

> because even Gemini doesn't understand Google-internal tooling.

this is false, it's very good at internal tooling.

Maybe they are forced to use Google search.

Thank you!

Google’s tooling was, hands down, the worst I have ever encountered. I did 10 years at GOOG, 3 at AMZN, 4 in research, and another 5 at companies you have heard of but wouldn’t be impressed by, and every day GOOG infuriated me.

Uh isn’t google known to have the best tooling in the world

I quite like the ai/search thing - I like that there is a super accessible ai I can ask questions without infecting my ChatGPT history

68% per year is pretty good!

Gemini is arguably the fulfilment of what AskJeeves promised and never delivered, nor did the rest of Silicon Valley succeed in natural language search and question answering for the 30 years it took to finally arrive. Gemini works great for answering questions and delivering answers for probably 90%+ of the things that people are going to ask Google for, while running on Google’s TPUs paid for with Google’s profits instead of hyper expensive Nvidia racks funded with VC Hopium, and integrated seamlessly free of sign ups to novel portals.

So it hasn't innovated since Oct of 2000? (when AdWords launched)

Hard to explain the departure of Timnit Gebru if that's the case. Unless you think they actually changed corporate culture so dramatically because of that event...

I recommend touching grass.

> Hassabis seems to have been pushed aside.

Yeah he seemed too reasonable to me, relative to the fervor. Whoever ends up in charge needs to do a lot of frothing to catch up to the ferver that would justify their valuations and investments

Roughly two years ago suddenly Hassabis was heavily promoted on all Google YouTube channels.

It was to fight ChatGPT and promote Gemini.

I think the guy does a very poor job or is simply not the right guy to appear as public figure for Gemini.

At least he tried. He is a man for everything that is not filmed.

Google doesn’t really have a person to give Gemini or AI a human face. And that is only consequential because Google never had any public person with any charisma like Jobs, Zuck, Altman.

CEO of <thing> at Google (not Alphabet) was always an informal title. There is no CEO of Cloud, CEO of YouTube, or CEO of DeepMind within Google internally -- it's always been an SVP role.

Inevitably, this will lead to Sundar Pichai replacement. I see nothing less. The sooner the better. I can't even tell what Google's focus is, is there any even?

> and has been given the newly created title of Alphabet Chief Scientist. Are these just face-saving titles, or does he still have any real influence over Google/DeepMind's pursuit of AGI?

Alphabet Chief Scientist doesnt sound like a demotion / lack of influence to me but who knows. We're all just speculating here.

I guess his big bet on world models didn’t pay off quickly enough

Losing Ive was probably a good thing for Apple. I often feel that after a few years these big guys have done what they could do and somebody else can take it from there. So far even losing Jobs didn’t hurt Apple as it looks.

Like Ive? So you mean it’s good for Google?

> It's like Apple losing Ive in a way.

Are you sure we should compare it like this? Not sure it implies what you think it does...

Alphabet is only a holding company. I wonder what kind of authority he has over scientists at Google, Waymo, Deepmind, etc. Probably close to none, so a huge demotion in everything but in title and compensation.

To me the most significant part is that he's no longer in charge of DeepMind, the company he created, other than this "Chair" title which sounds meaningless.

When DeepMind allowed Google to buy them, it obviously had some major immediate positives - access to compute and money - but it seems it should have been obvious that the agreement was too good to be true, that they would be allowed to continue independently on their blue sky research mission to create AGI without any external interference or pressure to create product.

It seems that Hassabis and his DM co-founders eventually realized the mistake and tried to take DM private again starting c.2018, but of course this failed.

https://colossus.com/article/project-mario-demis-hassabis-de...

Now Hassabis has lost control of DeepMind altogether, and it seems to me, as a total outsider, that this is the end of the DeepMind mission to create AGI, at least the Hassabis/Legg definition of AGI as human-level general intelligence, capable of creativity and scientific discovery. Hassabis had always, until very recently, said that he believed it would take a number of additional "Transformer-level" breakthroughs to achieve this type of human-level AGI, while still seeing an LLM as one component of if (which to me seems an admission that the goal has failed - a true human level AGI should be able to learn language, etc, using it's own continual learning mechanisms).

It seems that DeepMind has now fully become the Google Gemini (LLM) division, trying to create a me-too product.

In the early days of DeepMind, before Google, before LLMs, I remember a David Silver slide deck titled "Reward is all you need", referring to RL rewards, which I never agreed with (although Rich Sutton might), but does at least reflect the independent thinking at DM, and of course RL not only gave rise to AlphaGo, but has now become central to the continued improvement of LLMs. However, notably David Silver also left DeepMind earlier this year, to found his own startup focusing on RL-based continual learning, presumably feeling that there was no longer a place for that type of research/pursuit at DeepMind.

Still, LLMs seem to be a destructive enough force on their own that perhaps it should be seen as a positive if research towards more powerful AGI appears to have had a major setback.

As for the "Alphabet Chief Scientist" title, it seems somewhat irrelevant, as least as far as Google's pursuit of true AGI. Hassabis is the face of beneficial AI, having been Knighted and awarded a Nobel Prize for his work, and it would be a horrendous PR move for Alphabet not to at least appear to be treating him with respect, even if in fact this does reflect him being pushed aside.

> put the effort into keeping Search profitable

The company would have ended up like Stack Overflow? I don't think there was an option for them.

What would that even look like? Paid search engines exist and they are niche products.

  keeping Search profitable without enshittifying it

I don't think Google had much to do with it. It has way more to do with the internet concentrating into major communities where all the content is private. Even Reddit content is going this way. Most FB and Instagram content are private. All of Discord is unreachable by crawlers.

Prior to this, just about everything on the web was open for crawlers since content wanted to be found.

Lmao then they’d be completely irrelevant instead of mostly

Such bad wording wow.

I still think Google is the only one who has a shot of coming out of this on top. Open AI and Anthropic's whole existence is predicated on some sort of moat, which I don't really see them having long term. They've got a bit of a headstart, but that's it.

Conversely, AI is just a means to an end for Google - they don't need for their model to be the one to succeed. But, in contrast to the other major company in their position Apple, they do have a model, so they're not totally beholden to another for AI (like Apple is using Gemini!).

But beyond that, for training the model they have YouTube, and of course they have their crawler and index, and the billions of users.

I think HN skews coding agent focused, but that's not really a market for Google. I expect we will have coding specific models in the future, but Google wants a more general intelligence, to handle search queries, be able to connect email to chat to calendar and tasks, and so on. I don't find Gemini that much worse than the other big models for non-coding things.

Data centers, TPUs, customers, data streams, more money than god, most mature crawler system

As much as everyone wants to pay accomplished celebrities, all of these companies have young nameless geniuses that are about to make one for themselves. A guard passing torch can be opportunity.

Now, whether Google is the right environment to nurture, that’s its own quandary.

I keep hearing this, but Hassabis did not leave Google/Alphabet. He merely changed from an administrative position to a more technical one.

It just depends on what are the most upvoted comments in HN. If they are bearish, you can be sure that you should be bullish in your investments. Meta was supposed to be broken as a business already, OpenAI and Anthropic would be failures as well.

Maybe they'll replace Hassabis with someone more focussed on beating OAI and Anthropic at chatbots? He always seemed a bit more into science, protein folding, new drugs and the like.

Revenue, data, and stamina.

Couple of things come to mind. One is that Web sites tend to actively fight AI companies' crawlers while actively courting Google's crawler.

Another is that they hold the key Transformer architecture patent. If it is still relevant (which I'm not personally clueful about) and if they start enforcing it, then we may see a reprise of the situation where Microsoft made money for years every time an Android phone was sold. Regardless of that particular patent, it's probably safe to say they'll be better-positioned than anyone else if AI companies start lobbing patent nukes at each other.

A third factor that shouldn't be discounted is that Google has access to warehouses of training data that other companies don't. Google Books alone is an Alexandria-scale archive that the courts forced them to keep to themselves. Those restrictive copyright decisions may turn out to be a blessing in disguise for Google because no one else will have been able to scrape the data.

it's a new venture that he can then sell back to google, and continue his ongoing loop

Is Gemini really doomed? I'm still bullish on Google: 1) they have more free cash flow and capital than God due to the ads business 2) they have data - intent from web searches, youtube videos, google books and music 3) they have dedicated inference hardware

for all these reasons, is being 6 months behind the frontier actually a structural, long term disadvantage? some day the pace of improvement will slow, and google will vacuum up the market. they'll be able to compete with open-weight models just on pure cost advantage from their vertical integration

I don’t think it matters that much for Google. They need to not fall hopelessly behind, but I don’t think there’s a strong economic reason for Google to burn the kind of capex that the frontier labs are burning. Strategically, I think they’re probably doing better than OpenAI and Anthropic. The Gemini models are open, and they are what researchers are working with (see neuronpedia as an example). Over time, this will give them a strategic advantage for the same reasons that open source wins over proprietary. Meanwhile, OpenAI and Anthropic have massive capex that needs to be returned to investors while their margins are being undercut by Kimi/Deepseek/Qwen. Google can wait around for the coming frontier lab profitability crisis and cruise right on by with their Apple contract and owned data centers to pick up the pieces and exceed the existing frontier labs.

- They're making a lot of money selling Tensor to Anthropic. If Nvidia's $4T market cap is justifiable, Google's position as one of the other top AI chip seller is worth a lot.

- In a world where open source Chinese models decimate Frontier models ability to charge a high price, it's the operators of efficient inference data centers that will win. Like Google

- Google is probably the biggest provider of "free" AI because it's on Google.com. That forces them to focus on cost. And in a commodity market, low-cost providers are the ones that make the money.

> everybody was saying that Google would eventually capture the AI market

my take on this is eventually the money is going to run out and there's going to be acquisitions and consolidation. I think that's when Google will come out on top.

Google doesn't need to compete. 'everyone' is locked into them via the Gapps (mostly Gmail and Maps) and Android ecosystems. Same with Apple, and Microsoft on the B2B side. It's only Anthropic, OpenAI and everyone else that _need_ to compete because switching models is painless. And they have no other revenue streams.

10 years from now, its gonna be Google, Apple and Microsoft left standing in the AI game. Well, until the US wakes up and starts attempting to break the oligopoly like the EU has recently started to do.

I largely agree but I don't know if it's quite so clear cut. From the pricing angle, all competitors except Google, including Chinese models, have incentive to gain market share at all costs, and may be serving tokens at or below cost. I am not sure though, Google could certainly decrease prices if they wanted to.

For agentic work, but especially for web search, 3.6 Flash has an important leg up, its fast speed, that no other model comes close to matching. I guess nobody pays attention to it because it's not the one big flashy number that you compare to other models.

They are not "asleep at the wheel"; it's just that the people in charge (the "MBA types") have no clue what to do!

There's an old saying, if you judge a fish's smarts by how well it can ride a bicycle, it will always seem dumb.

The people who have risen to the top of at Google are built for a different environment than what's needed right now. They are good at playing their political games, sabotaging each other, etc.; i.e. all of the petty games that managers play in big companies. But the AI era demands a different skill set: how to bring together incredibly smart people and forge them into a battle group that will achieve victory in the ongoing battle for AGI! It's as if you have built an army of tanks, but the next battle is being fought on the high seas.

Are they measurably attracting more talent here? It seems like they're losing some of it right now, so is there public info about numbers of researchers they have or etc

Agree that I would (and do) still place my bet on them for the long term. Maybe the outcome will be a couple of good startups seeded and DeepMind _really_ focusing on LLMs now.

Ever heard of the innovator’s dilemma? Don’t underestimate the inertia of large companies and their unwillingness to pivot from their cash cow.

I said that too at the start of the year, but that's a looong time in "AI years". I feel like by now they should have announced a Fable-killer model. They may still do it but looking back I am becoming less convinced now than I was 6 months ago.

They also have the money, the hardware and the talent to be the best cloud infrastructure provider, yet they're still far behind AWS (for good reason, as anyone who's dealt with their customer service will understand).

They’d be hard pressed to lose, if it’s what they want.

They need to route all browser search strings to an LLM, and slowly begin to charge where people will pay. Likely ad space.

> ability to attract talent.

No, the top talent is clearly at Anthropic and OpenAI

It seems that people wanting to focus on AI-for-science instead of topping LLM benchmarks don't have a place anymore in DeepMind.

Watch it recover in the next 3 days. This is a buying oppo if I've seen one. The real losers are the companies that have yet to gain a userbase as large as G.

> Data from physics, chemistry, biology experiments

There are PetaBytes of important scientific data locked in archival file formats. The first step is to make this efficiently readable.

https://www.earthmover.io/blog/virtual-zarr

https://news.ycombinator.com/item?id=46659254

> Frontier models can probably not advance much further with the datasets we have currently available

I’ve been reading this sentiment on HN since GPT4o, yet models got better and better

I think there are multiple separate events here, timed to coincide in order to minimise disruption. It's hard to be sure whether they share overlapping causes, but I'd guess that there's at least an element of that.

Some do-nothing EVP probably just got control over the Gemini org

Fun fact: the Jeff Dean Facts was started by Kenton Varda (kentonv around here [1]), as a joke inside Google. He has expressed regret that it eclipsed Sanjay Ghemawat, with whom Jeff Dean basically did pair-programming with.

[1] also known for open-sourcing ProtoBufs v2, creating CapnProto and Sandstorm, and commenting on the recent Cloudflare OS post https://news.ycombinator.com/item?id=49182996

> When Jeff Dean goes on vacation, production services across Google mysteriously stop working within a few days. This is actually true. (TRUE)

Uh oh...

Yes, him.

"Once, in early 2002, when the index servers went down, Jeff Dean answered user queries manually for two hours. Evals showed a quality improvement of 5 points."

ahahah golden.

Will be following their journey

They are leaving Google, but Google is an investor in the new company. So a split, but not exactly a divorce. Or something.

> I am sure VCs are fighting to invest and they will get 4B investment immediately with this team

This is probably the only time some prominent VCs would be active during August, only for Jeff Dean & Co's company.

I can see them now frantically negotiating, responding and firing off emails right now during their holidays to get an allocation in Jeff's new company.

Would love to hear the pitch: We never had the lead in AI and now definitely lost it, despite the gazillions dollars and engineering resources of Google, but now will be different?

its a public benefit corp

There's no doubt in my mind that they set up the conditions for their models to escape the sandboxes. "haha oops our incredibly powerful models escaped we need 1 trillion more dollars and really this is yet another reason why no one else should be allowed to build this technology"

If Google put out a blog post about Gemini 4 having escaped its sandbox via 0-day exploit to then hack other companies, I unironically believe this would result in a boost to their stock price.

They could really use some encouraging news about the competitiveness of their AI lab.

Google's AI was telling people to put elmer's glue on pizza to help the cheese stick [1], Gemini was turning the Founding Fathers black [2], and more. Oh and the pizza recipe was based on a joke from a reddit user named "fucksmith" - part of data that Google apparently paid some $60 million to Reddit to access. The one and only effect of this was lots of amusing posts and articles. Their stock price went up during the whole ordeal.

[1] - https://www.forbes.com/sites/jackkelly/2024/05/31/google-ai-...

[2] - https://www.axios.com/2024/02/23/google-gemini-images-stereo...

Would it though? Meta and Microsoft have had very scandalous AI things happen, and their shares didn't tank (or quickly recovered)

> It would be stock price suicide if anything even remotely happened with Google.

aka they're dead in the water.

I think the reason Google hasn't prioritized larger models that are more intelligent than everyone else's, even though they probably could, is because they have 4 billion active users already. For example, they send AI Overviews for a large portion of Google searches now.

So I think they have to prioritize scaling for their models to a higher degree than other groups. Being within say 5% or so in most cases is probably adequate and matters more overall for their user base than being the absolute best coder. So they may be setting compute constraints for training or inference that are firmer than other teams.

I don’t think so. If Kimi and Deepseek can launch models better than Gemini with much much lesser resources then it is increasingly looking like an organization issue at Google

I don't think Google is that freaking short-sighted. Even if you're not trying to be frontier, the value of having domain knowledge via experience for AI is worth saving internal compute alone. By all accounts Google believes in ai as much as everyone else.

If AI turns out 1/100 as important as they seem to think, it would be insane to intentionally be slack on it.

Awfully ironic that Google makes more money (probably an order or magnitude or so) from it's direct competitors than it does from a it's own product.

I disagree. Google is one of the few parties that can monetize AI because Google has a massive moat in the form of their products: gmail, chrome, photos, search, etc... and Google already has the custom-built chips and datacenters.

Google spending money on competing head to head with your LLMs is a waste of money for Google. If anthropic wins, Google copies their approach, buys anthropic for cheap or both. All the investors throwing money into OpenAI, Anthropic, are just accidentally subsidizing Google's product development. Google shouldn't spend its AI research capital in an arms race with Anthropic but instead should invest in AI approaches that no one else is investigating at scale. That way Google can hedge against LLMs hitting a wall.

There is a real but small danger to Google that Anthropic replaces Google as a search engine, but that is an uphill fight for Anthropic. Google has massive brand recognition, network effects with gmail and chrome, Anthropic can't just copy what works from Google. On the other hand Google can copy what works for Anthropic. Google would have to play poorly to lose that fight.

Probably the worse case for Google is that software becomes so cheap and easy to create and maintain that all of Google's product offerings become commoditized. Even in that world Google has a lock on infrastructure. Perhaps ASI software creation completely removes that as well? If so we are living in a post-singularity world and probably the stockmarket doesn't exist anymore either.

> But things need to change.

Not all change is good, as proven by Zuckerberg's response after the lackluster Llama 4 release. The radical restructuring appears to have made things worse.

Google was always at the frontier of real research, but has been abysmal at shipping good products (at least since Sundar). The core company is run for margins and interest rates by the business people nowadays.

People keep saying the same thing about Google lagging behind and always end up looking rather silly. Google was going to lose search to OpenAI. Then people complained there was too much AI in Google search. Now it's pretty good and par for the course.

Yes it's a huge company.

So they are slower. Then they will surface it across their massive product base and keep generating cash. While having a hand in Anthropic and others via investment anyway.

Google doesn't need to offer you the bleeding edge at startup pace. They're playing a different game. When the bubble pops they will be well positioned really no matter the outcome to continue to capitalize as their competitors implode or get absorbed.

The idea a delay is a "complete and unmitigated disaster" is just laughable. People have been saying this about Google since ChatGPT first invaded the public consciousness. Google will continue to do well, the histrionics of people like you aside.

Yeah. I’m guessing they’re behind the Chinese models in capability now

Huge companies tend to make money from network effects, rent seeking, and lock in. They tend to be horrifically bad when it comes to innovation, especially when it may disrupt exiting departments in the company. Those departments will fight for their life and generally muck things up.

Very few companies have leadership that can prevent this infighting and force teams on directed goals.

Everyone knows there isn't a moat.

No one joins OpenAI/Anthropic unless they think these companies will reach superintelligence.

So most people joining believe their equity will 10-100x even from where it is today.

(Coincidentally, the talent that believes we will reach AGI overlaps a lot with the best talent, which has a magnetic effect.)

Is that what's happening? Search has sucked for a while, and I'd just assumed it was partly because they'd been pushing compute to AI-related activities.

Other than attention optimizations and other minor changes, the top Chinese models (which are way better than gemini) have basically the same architecture as GPT2. Of course RL is key for agentic workloads, but I'd say it's correct that progress has been mostly scaling models,adding more data and cleaning it better.

Google has a ton of smart researchers trying all sorts of stuff. They didn’t really go all in on any one thing. They hedge their bets.

But they suck at harnesses, developer tooling etc. their internal environment is very complex and an intern on a MacBook with codex can probably move faster than a seasoned deepmind engineer

> Anyway, the actual theory is that Google and Meta have fallen behind because they've been playing by this playbook of focusing on scale and training data, whereas OpenAI and Anthropic have done so well because they are likely doing much more interesting things to improve their models over time.

Google Gemma disproves this

> OpenAI and Anthropic are essentially offering Monopoly money in the hopes that one day you can exchange it for real money.

I thought employees have already had opportunities to cash out (there's enough funding rounds for that).

(Tho how much you can sell was limited, iirc to double digit millions...)

Wouldn't this be a demonstration of the downsides of the anticompetitiveness of monopolies?

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AlphaFold is interesting. Maybe LLMs converge because the ideal "use of language" converges. But there are other types of model.

I don’t know man I prefer Gemini to everything other than claude I’m really surprised at the late comeback and happy for it

> Google will be considered "the new IBM" in 20 years.

They have plenty of great tech for consumers right now: Gmail, Maps, YouTube, Chrome, Android,..

You can perhaps argue that search might suffer because of AI but they've done a great job scaling horizontally into many verticals.

I don't think Google is going anywhere.

People have been saying that for over a decade now, and their business is still going.

Who knows what will happen in 20 years. Right now, it's not the case.

I was really expecting Google to finesse this - not competing head-on with OpenAI and Anthropic to see who can build the largest LLM, but instead being content with an extremely capable Gemini 3.6, good enough to meet their own needs, and putting maximum effort into "more than just an LLM" AGI which would then eclipse OpenAI and Anthropic.

Instead, it seems Pichai has fumbled what they had with DeepMind, and they'll now just be a me-too LLM competitor chasing OpenAI and Anthropic from behind, in a race that will never get to AGI.

Found the Googler.

but in the end...

Guess I'm not taking out a second mortgage on my house anymore to invest in $GOOG.

My predictions about everything ever, summarized perfectly. I need an “inverse me ETF”.

It seems Google has to play both offense and defense: competing against frontier labs' models while protecting search and ads. They also have to be mindful of not doing anything that could hurt their own search or ads. That seems harder than a frontier lab just doing offense on both models and search/ads.

Having said that, I think Google's moat is still strong with Cloud, Gmail, YouTube, Android, Chrome, etc.

>Meanwhile, Microsoft: "Copilot!"

The difference is nobody expects anything better from Microsoft. Teams didn't exactly set the bar high.

I actually think there's a low probability of that.

The four have so much influence within the company that they could have trivially set this up as part of Alphabet, if they wanted to. They are also ridiculously wealthy.

They are already partially funded by Google.

Both are very smart.

But Jeff was responsible for a lot more of what is actually used today than Demis.

Demis is responsible for a lot more of the hype though ;)

I think saying Jeff's contributions were a long time ago must represent some kind of lack of understanding of Jeff's recent contributions.

Jeff has still been focused more on infrastructure, and that is just more hidden most of the time.

I would say,if i was forced to pick someone whose vision to follow, it would definitely be Jeff and not Demis, even today.

Demis is great -- this is not a zero-sum game. Who built what, and the relative importance, is an interesting discussion to have, but it's orthogonal to my point.

Which is: When you think about Google, true, old, "don't be evil", tech excellence Google, you don't think about Demis. You think about Jeff's and Sanjay's geeky, technically uncompromising, faces.

That said though, Flash isn't it. The prices on the latest flash models put Sonnet and Terra to shame.

Does everyone want AI?

> I said for a few years to many a downvote on HN, everyone wants AI, nobody wants to pay the true costs, the AI race will turn into a "race to the bottom" that is, who can give you the most compute for the lowest cost, and still remain profitable?

I keep seeing this but this line of thinking doesn't make any sense. What does it really mean?

There are expensive models that increase the probability of you doing your task under a lower cost. That means you can't use Gemma for coding your new compiler - it would just be overall costlier.

Heavier models are cheaper at more complicated tasks because they use fewer turns and fewer mistakes.

Cheaper models are more likely to be cheap at less complicated tasks. Like if you just ask Gemma "Hi" it would probably be cheaper than asking Opus.

So what does this statement really mean? People don't want to pay the extra for a more costly model? Why wouldn't you? It reduces your overall cost!

Absolute download numbers are a pure vanity metric. Relative download numbers compared to other models tell you a little bit.

> And gemma downloads also can be from auto CI pipelines etc. Nothing concrete

Thank you for adding some clarity to this. When I calculated 900 million downloads divided by 8.3 billion people in the world, I came with a number that made it look like about one person in 10 were downloading this model.

Sure, but the question is why either of those things happened, given Google's immense resources and talent.

The fact that OpenAI, Anthropic, SpaceXAI and 3 different Chinese companies were all able to train big models without these issues, yet Google could not, seems shocking.

AI is critically important to Google, but there's a lot more to Google than just having a frontier AI model. Do Demis skills line up with what the whole company needs? It's going to be tough to beat Sundar's 1200% increase in stock price.

I sold out of my position. I can imagine a story where it works out in the long term, but I don't see how this doesn't cause terrible retention problems in the short to medium term. I felt a pull to launch a startup when I heard Jeff Dean was leaving, and I'm a long time big corp employee who hasn't been at Google in over a decade.

Why would they do this extra step if that were the case?