311–320 of 1001 posts
I think I am in this AI fatigue phase. I am past all hype with models, tools and agents and back to problem and solution approach, sometimes code gen with AI , sometimes think and ask for a piece of code. But not offloading to AI and buying all the bs, waiting it to do magic with my codebase.
I think it's fun to see what is not even considered magic anymore today.
I've been so happy to see Google wake up. Many can point to a long history of killed products and soured opinions but you can't deny theyve been the great balancing force (often for good) in the industry. - Gmail vs Outlook - Drive vs Word - Android vs iOS - Worklife balance and high pay vs the low salary grind of before. Theyve done heaps for the industry. Im glad to see signs of life. Particularly in their P/E whic…
Ironically, OpenAI was conceived as a way to balance Google's dominance in AI.
I am personally impressed by the continued improvement in ARC-AGI-2, where Gemini 3 got 31.1% (vs ChatGPT 5.1's 17.6%). To me this is the kind of problem that does not lend itself well to LLMs - many of the puzzles test the kind of thing that humans intuit because of millions of years of evolution, but these concepts do not necessarily appear in written form (or when they do, it's not clear how they connect to specif…
What I would do if I was in the position of a large company in this space is to arrange an internal team to create an ARC replica, covering very similar puzzles and use that as part of the training. Ultimately, most benchmarks can be gamed and their real utility is thus short-lived. But I think this is also fair to use any means to beat it.
However, many people have worked hard to optimize tools specifically for ARC over many years, and it's proven to be a particularly hard test to optimize for. This is why I find it so interesting that LLMs can do it well at all, regardless of whether tests like it are included in training.
It still failed my image identification test ([a photoshopped picture of a dog with 5 legs]...please count the legs) that so far every other model has failed agonizingly, even failing when I tell them they are failing, and they tend to fight back at me. Gemini 3 however, while still failing, at least recognized the 5th leg, but thought the dog was...well endowed. The 5th leg however is clearly a leg, despite being wh…
Perception seems to be one of the main constraints on LLMs that not much progress has been made on. Perhaps not surprising, given perception is something evolution has worked on since the inception of life itself. Likely much, much more expensive computationally than it receives credit for.
It’s obviously nowhere near a real game, but the fact that it can structure and render something that coherent from a single prompt is kind of wild. Curious to see how far this generation can actually go once the tooling matures.
I think I am in this AI fatigue phase. I am past all hype with models, tools and agents and back to problem and solution approach, sometimes code gen with AI , sometimes think and ask for a piece of code. But not offloading to AI and buying all the bs, waiting it to do magic with my codebase.
I agree but if Gemini 3 is as good as people on HN said about the preview, then this is the wrong announcement to sleep on.
Out of curiosity, I gave it the latest project euler problem published on 11/16/2025, very likely out of the training data Gemini thought for 5m10s before giving me a python snippet that produced the correct answer. The leaderboard says that the 3 fastest human to solve this problem took 14min, 20min and 1h14min respectively Even thought I expect this sort of problem to very much be in the distribution of what the mo…
I truly do not understand what plan to use so I can use this model for longer than ~2 minutes. Using Anthropic or OpenAI's models are incredibly straightforward -- pay us per month, here's the button you press, great. Where do I go for this for these Google models?
Google actually changed it somewhat recently (3 months ago, give or take) and you can use Gemini CLI with the "regular" Google AI Pro subscription (~22eur/month). Before that, it required a separate subscription I can't find the announcement anymore, but you can see it under benefits here https://support.google.com/googleone/answer/14534406?hl=en The initial separate subscriptions were confusing at best. Current situ…