Gemini 3
711–720 of 1001 posts
Re: Gemini 3
#712Earlier quoted context omitted.
I'm not explaining myself right. Stockfish is a superhuman chess program. It's routinely used in chess analysis as "ground truth": if Stockfish says you've made a mistake, it's almost certain you did in fact make a mistake[0]. Also, because it's incomparably stronger than even the very best humans, sometimes the moves it suggests are extremely counterintuitive and it would be unrealistic to expect a human to find the…
I would love to examine Stockfish play that seemed extremely counterintuitive but which ended up winning. How can I do so? (I don't inhabit any of the current chess spaces so have no idea where to look, but my son is approaching the age where I can start to teach him...). That said, chess is such a great human invention. (Go is up there too. And texas no-limit hold'em poker. Those are my top 3 votes for "best human t…
If you look on Youtube there are many channels where strong players analyze these games. As Demis Hassabis once put it, it's like chess from another dimension.
Re: Gemini 3
#713"Incredible"! When they insert it into literally every google request without an option to disable it. How incredibly shocking so many people use it.
Re: Gemini 3
#714Hoping someone here may know the answer to this, but do any of the benchmarks that exist currently account for false answers in any meaningful way, other than it would in a typical test (ie, if I give any answer at all it is better than saying "I don't know" as the answer I give at least has a chance of being correct(which in the real world is bad))? I want an LLM that tells me when it doesn't know something. If it g…
Re: Gemini 3
#715Earlier quoted context omitted.
[flagged]
[flagged]
Re: Gemini 3
#716Earlier quoted context omitted.
>>benchmarks are meaningless No they’re not. Maybe you mean to say they don’t tell the whole story or have their limitations, which has always been the case. >>my fairly basic python benchmark I suspect your definition of “basic” may not be consensus. Gpt-5 thinking is a strong model for basic coding and it’d be interesting to see a simple python task it reliably fails at.
they are not meaningless, but when you work a lot with LLMs and know them VERY well, then a few varied, complex prompts tell you all you need to know about things like EQ, sycophancy, and creative writing. I like to compare them using chathub using the same prompts Gemini still calls me "the architect" in half of the prompts. It's very cringe.
Gemini still calls me "the architect" in half of the prompts. It's very cringe.
Can't say I've ever seen this in my own chats. Maybe it's something about your writing style?Re: Gemini 3
#717I have "unlimited" access to both Gemini 2.5 Pro and Claude 4.5 Sonnet through work. From my experience, both are capable and can solve nearly all the same complex programming requests, but time and time again Gemini spits out reams and reams of code so over engineered, that totally works, but I would never want to have to interact with. When looking at the code, you can't tell why it looks "gross", but then you ask…
Re: Gemini 3
#718Earlier quoted context omitted.
Imho Gemini 2.5 was by far the better model on non-trivial tasks.
To this day, I still don't understand why Claude gets more acclaim for coding. Gemini 2.5 consistently outperformed Claude and ChatGPT mostly because of the much larger context.
Gemini also randomly just reverts everything because of some small mistake it found, makes assumptions without checking if those are true (eg this lib absolutely HAS TO HAVE a login() method. If we get a compile error it’s my env setup fault)
It’s just not a pleasant model to work with
Re: Gemini 3
#719Earlier quoted context omitted.
[flagged]
[flagged]
I'd be interested in any evidence-based arguments you might have beyond attacking my writing style and insinuating bad intent.
I found this commenter had sage advice about how to use HN well, I try to follow it: https://news.ycombinator.com/item?id=38944467