901–910 of 1001 posts
I'm happy to move to a superior model, but I'm not really hearing enough about significant improvements, and the obvious pressure to release the latest and greatest model makes me hesitant to upgrade. I've been satisfied with the results I get using 4.5 with an "ask ChatGPT" skill that runs the code by ChatGPT 5.4.
Interesting to search this page for "4.5". I'm happy to move to a superior model, but I'm not really hearing enough about significant improvements, and the obvious pressure to release the latest and greatest model makes me hesitant to upgrade. I've been satisfied with the results I get using 4.5 with an "ask ChatGPT" skill that runs the code by ChatGPT 5.4.
Earlier quoted context omitted.
I won't be surprised if the next gen frontier models are the last. There's orders of magnitude of low hanging juice to squeeze out of smaller models. It is almost guaranteed that a 60-90B model can outperform current SOTA in coding tasks within 2-3 years (design not certain, probably unlikely). It is far less clear that a 1.2T model will be meaningfully better enough to justify training it. As far as reasoning is con…
The GRAM model is so much into my research direction, I love it. Thank you for posting it. Where do I find papers like this? Outside of hacker news comments. It's so hard to find the good stuff in all the noise IMO.
They are capable of thinking at least 10x longer than Gemini. They can deliberate for five minutes continuously before providing a final, accurate response.
I am currently using the generous free tier of Gemini, but if Gemini offered a similar capability in its paid tier, Google could use better marketing. They should have used a different name to distinguish their premium-only offering.
The Claude Pro subscription is basically useless at this point, in terms of usage limits with respect to the settings required to achieve actual useful output.
Meanwhile with 20 bucks a month for gpt plus, you can get shit ton of usage out of gpt 5.5 on codex if you know what you are doing and not just letting it swallow the whole project like an idiot.
A rambling comment: I think this is the first time we've had a third minor version bump on a frontier Anthropic model. (I count the 0.5s as major here, because they've been issued non-sequentially and also corresponded to massive capability leaps, eg, Sonnet 3.5, Opus 4.5). So now the Opus 4.5 family has successors 4.6, 4.7, and 4.8, each posting fairly modest claimed gains. My own experience w/ 4.6 and 4.7 are that…
pretty spot on. In my experience, Opus 4.0 was fantastic, major jump from 3.7. it was creative, super slow and expensive, and would sometime forget what it was doing, but it was getting the job done. 4.1 they made it much faster, so a lot of infra improvements. 4.5 was the time it could work on longer task, didn't make a lot of obvious mistakes of 4.0, and i think this was about the time the opus went mainstream, and…
It's just amusing reading all these posts with different viewpoints, just in this thread there are multiple people saying 4.6 was so much better than 4.7 and that they switched back to 4.6.
A rambling comment: I think this is the first time we've had a third minor version bump on a frontier Anthropic model. (I count the 0.5s as major here, because they've been issued non-sequentially and also corresponded to massive capability leaps, eg, Sonnet 3.5, Opus 4.5). So now the Opus 4.5 family has successors 4.6, 4.7, and 4.8, each posting fairly modest claimed gains. My own experience w/ 4.6 and 4.7 are that…
I won't be surprised if the next gen frontier models are the last. There's orders of magnitude of low hanging juice to squeeze out of smaller models. It is almost guaranteed that a 60-90B model can outperform current SOTA in coding tasks within 2-3 years (design not certain, probably unlikely). It is far less clear that a 1.2T model will be meaningfully better enough to justify training it. As far as reasoning is con…