So, in last several months, all the prominent names Google lost: Demis Hassabis (technically still with google but these things are usually presented with a spin), Jeff Dean, Sanjay Ghemawat, Oriol Vinyals, Quoc Le, Noam Shazeer, John Jumper, Jonas Adler, Alexander Pritzel, David Silver, Denny Zhou, Fernando Pereira, Alex Turner And all the prominent names Google gained: NULL Combined with no gemini frontier GA relea…
Gemini 3 Pro was legitimately frontier and released 8 1/2 months ago, not 14.
Changes at Google DeepMind: Demis Hassabis from CEO to Chair, Jeff Dean departs
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Re: Changes at Google DeepMind: Demis Hassabis from CEO to Chair, Jeff Dean departs
#622Earlier quoted context omitted.
Dynamite has been incredibly beneficial for humanity.
Indirectly. Direct application of dynamite to the human body is considerably more fraught an event than direct application of penicillin. As the fundamental goal of technology is to extend the capability of the human body, it's natural to implicitly and primarily consider what that extended capability can do to another human body. It's nice that we have tunnels through mountains and bedrock.
If you have heart issues, you're likely taking nitro daily for chest pain.
So saying it's bad is 40% wrong at least. Makes ya think.
Re: Changes at Google DeepMind: Demis Hassabis from CEO to Chair, Jeff Dean departs
#623Earlier quoted context omitted.
Only the GFG models know anything internal. Regular Gemini isn't trained on any of that. And GFG is a much older base model, so people use the regular one. If the tools seem to handle google3 code ok, it's only because of skills and not the model itself, and then you run into issues with skill bloat. Sometimes the A/B test would give me the bad model of the day that'd try to grep all of piper. Start in a blank direct…
Your information is indeed out of date.
Re: Changes at Google DeepMind: Demis Hassabis from CEO to Chair, Jeff Dean departs
#624Earlier quoted context omitted.
Part of me thinks Google's entire problem is crappy internal tooling, not really an anti-innovation environment. Just making a dev take 2x as long to get something done has a bigger effect than you'd think. With LLMs it's more like 10x now because even Gemini doesn't understand Google-internal tooling.
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.
Re: Changes at Google DeepMind: Demis Hassabis from CEO to Chair, Jeff Dean departs
#625Re: Changes at Google DeepMind: Demis Hassabis from CEO to Chair, Jeff Dean departs
#626Earlier quoted context omitted.
Gemini isn't as heavily aligned as OAI / Ant models ..?
If you just talk to it over API (no web search) the Gemini models are extremely resistant to thinking the user may be living in a universe outside their training data. Try to discuss any news etc and they assume it’s fake or fiction
Re: Changes at Google DeepMind: Demis Hassabis from CEO to Chair, Jeff Dean departs
#627Earlier quoted context omitted.
Part of me thinks Google's entire problem is crappy internal tooling, not really an anti-innovation environment. Just making a dev take 2x as long to get something done has a bigger effect than you'd think. With LLMs it's more like 10x now because even Gemini doesn't understand Google-internal tooling.
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.
Re: Changes at Google DeepMind: Demis Hassabis from CEO to Chair, Jeff Dean departs
#628Re: Changes at Google DeepMind: Demis Hassabis from CEO to Chair, Jeff Dean departs
#629Re: Changes at Google DeepMind: Demis Hassabis from CEO to Chair, Jeff Dean departs
#630Thus, efficiency and pragmatic enterprise application is the next focus. And for that, the old guards are not necessarily the best. Google needs new blood for this venture, preferably from China with their practical engineering view. Every big AI lab is on the verge. Steering the right way will help avoid a catastrophe and come out stronger than ever. A weak captain could sand the ship and drag down who knows what with them.