Google is winning on every AI front

As an Ex-OpenAI employee I agree with this. Most of the top ML talent at OpenAI already have left to either do their own thing or join other startups. A few are still there but I doubt if they'll be around in a year. The main successful product from OpenAI is the ChatGPT app, but there's a limit on how much you can charge people for subscription fees. I think soon people expect this service to be provided for free and ads would become the main option to make money out of chatbots. The whole time that I was at OpenAI until now GOOG has been the only individual stock that I've been holding. Despite the threat to their search business I think they'll bounce back because they have a lot of cards to play. OpenAI is an annoyance for Google, because they are willing to burn money to get users. Google can't as easily burn money, since they already have billions of users, but also they are a public company and have to answer to investors. But I doubt if OpenAI investors would sign up to give more money to be burned in a year. Google just needs to ease off on the red tape and make their innovations available to users as fast as they can. (And don't let me get started with Sam Altman.)

I don't know what you did there, but clearly being ex OpenAI isn't the intellectual or product flex it is: I and every other smart person I know still use ChatGPT (paid) because even now it's the best at what it does and we keep trying Google and Claude and keep coming back.

They got and as of now continue to get things right for the most part. If you still aren'ĥt seeing it maybe you should introspect what you're missing.

I don't know your experience doesn't match mine.

NotebookLM by Google is in a class of its own in the use case of "provide documents and ask a chat or questions about them" for personal use. ChatGPT and Claude are nowhere near. ChatGPT uses RAG so it "understands" less about the topic and sometimes hallucinate.

When it comes to coding Claude 3.5/3.7 embedded in Cursor or stand alone kept giving better results in real world coding, and even there Gemini 2.5 blew it away in my experience.

Antirez, hping and Redis creator among many others releases a video on AI pretty much every day (albeit in Italian) and his tests where Gemini reviews his PRs for Redis are by far the better out of all the models available.

Time for my next round of Evals then. I had a 40 PR coding streak last weekend with mostly o3-mini-pro, will test the latest 2.5 now.

PR = pull request? So every bit of garbage from the LLM, over and over, resulted in an individual pull request? Why not just do one when your branch is finally right?