"These 1 billion users may also be encountering Gemini in all those places, but that’s not the MAU metric. Pichai is talking only about people who are opening the Gemini app or visiting the Gemini web interface to enter a prompt or access Gemini Live. If you used Gemini only once in the past month, you are part of this cohort"
AI Overviews are not accounted for.
And its not like it is that good, especially the answers that are sourced from reddit without any vetting. But I still too often go with that damn answer.
Skepticism is still needed though. The other day I asked Gemini while driving if there's a HoV lane going from 105 E to 110 S. It said yes. Actually there one to 110 N but not S. I did not act upon it because my co-passenger verified that Gemini was wrong.
Search summary is useful but not for things that require deeper technical expertise- those result in bad hallucination.
With corporate crunch on token budget, I've also started avoiding Claude and increasingly using opencode+Gemma 4, and developing some system prompts to iteratively improve the results.
- "Ah so you think data is your ally? you merely scraped data, i was born in it, moulded by it, did not spare a single user until I was already a man"
But when Apple doesn't participate in frontier churn, earns money, and needs to rely on Google for AI services, then this is "the Apple way", "do nothing and still win" uber-pragmatic 5D chess game.
Pushing it for an explanation on every instance, it says that it ends up not relying on the query of the user to generate the answer. (?)
I've noticed that adding the line "check your answer before answering" gets it to replace English words got Chinese characters..
Funky stuff these flagship products.
It is completely useless and worse than quantized gpt-oss from over a year ago. It is designed for large scale, instant responses.
I hate when co-wokers or friends say "when I searched it up" and proceed to spew out whatever the Google AI said. I would consider listen if they ran it through ChatGPT, Gemini or Claude but whatever model is used on the search results is just bullshit.
[0] https://oumi.ai/blog/oumis-study-finds-50-of-ai-overviews
How about you actually read the topic in question before putting a bitch in?
No, built-in Android and Chrome are not blowing these numbers.