131–140 of 451 posts
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I believe the current game everybody plays is: * make sure the model maxes out all benchmarks * release it * after some time, nerf it * repeat the same with the next model However, the net sum is positive: in general, models from 2026 are better than those from 2024.
I guess there's a pretty clear incentive to nerf the current model right before the next model is about to come out.
Unrelated, but Claude was performing so tragically last few days, maybe week(s), but days mostly, that I had to reluctantly switch. Reluctantly because I enjoy it. Even the most basic stuff, like most python scripts it has to rerun because of some syntax error. The new reality of coding took away one of the best things for me - that the computer always just does what it is told to do. If the results are wrong it mean…
I'm the first to be tired of everyone, for every model, that says "uuuh became dumber" because I didn't believe them ... until this week! Opus is struggling worse than Sonnet those last two weeks.
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> - No trust that they won't nerf the tool/model behind the feature I actually trust that they will.
I believe the current game everybody plays is: * make sure the model maxes out all benchmarks * release it * after some time, nerf it * repeat the same with the next model However, the net sum is positive: in general, models from 2026 are better than those from 2024.
I never asked for a 1M context window, then I got it and it was nice, now it's as if it was gone again .. no biggie but if they had advertised it as a free-trial (which it feels like) I wouldn't have opted in.
Anyways, seems I'm just ranting, I still like Claude, yes but nonetheless it still feels like the game you described above.
LLMs and LLM providers are massive black boxes. I get a lot of value from them and so I can put up with that to a certain extent, but these new "products"/features that Anthropic are shipping are very unappealing to me. Not because I can't see a use-case for them, but because I have 0 trust in them: - No trust that they won't nerf the tool/model behind the feature - No trust they won't sunset the feature (the graveya…
I see people making similar conclusions about various LLM providers. I suspect in the end it’ll shake out about the same way, the providers will become practically inoperable with each other either due to inconvenience, cost, or whatever. So I’ve not wasted much of my time thinking about it.
LLMs and LLM providers are massive black boxes. I get a lot of value from them and so I can put up with that to a certain extent, but these new "products"/features that Anthropic are shipping are very unappealing to me. Not because I can't see a use-case for them, but because I have 0 trust in them: - No trust that they won't nerf the tool/model behind the feature - No trust they won't sunset the feature (the graveya…
This is a similar sentiment I heard early on in the cloud adoption fever, many companies hedged by being “multi cloud” which ended up mostly being abandoned due to hostile patterns by cloud providers, and a lot of cost. Ultimately it didn’t really end up mattering and the most dire predictions of vendor lock in abuse didn’t really happen as feared (I know people will disagree with this, but specifically speaking abou…
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I believe the current game everybody plays is: * make sure the model maxes out all benchmarks * release it * after some time, nerf it * repeat the same with the next model However, the net sum is positive: in general, models from 2026 are better than those from 2024.
yup, after the token-increase from CC from two weeks ago, I'm now consistently filling the 1M context window that never went above 30-40% a few days ago. Did they turn it off? I used to see the Co-Authored by Opus 4.6 (1M Context Window) in git commits, now the advert line is gone. I never turned it on or off, maybe the defaults changed but /model doesn't show two different context sizes for Opus 4.6 I never asked fo…
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I guess there's a pretty clear incentive to nerf the current model right before the next model is about to come out.
Wouldn't that amount to fraud?
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You're delusional if you think these features would take competent programmers quarters to deliver.
Maybe they were accounting for huge layers of red tape in large orgs. God knows those are far slower than "competent programmers" lol