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Claude Opus 4.8

anthropic.com

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Re: Claude Opus 4.8

#681

Post by asdewqqwer »

mrdependable wrote: post #482
redfloatplane wrote: post #439

This made me laugh. Training Opus 4.7 on business skills caused it to sometimes exhibit dishonest behaviour, and not training 4.8 on those skills removed it. From the system card: > 6.2.5 External testing from Andon Labs Andon Labs reviewed the behavior of Claude Opus 4.8 in their simulated Vending-Bench 2 retail-management evaluation, as reported in the Capabilities section of this system card (see Section 8.13.5).…

I don't know how people can read stuff like this and think LLMs are intelligent or conscious.

As if the dishonesty of human who are good at business has not been criticized since business ever exists

Re: Claude Opus 4.8

#682

Post by thesmart »

S-E-P wrote: post #678

I haven't had the best experience with 4.7 and it felt like a substantial debuff. I've even ended up moving a lot of review to codex just because 4.7 was so dense.. Here's to hoping they figured it out since I'm not entirely sure but I would have to guess that they were experimenting with making the model lighter (although I have no concrete evidence of this).

Rolling back to 4.6 is such a stark difference

Re: Claude Opus 4.8

#684

Post by LPisGood »

zamalek wrote: post #640
northern-lights wrote: post #23

> Not only that, but we plan to release a new class of model with even higher intelligence than Opus. As part of Project Glasswing, a small number of organizations are currently using Claude Mythos Preview for cybersecurity work. Models of this capability level require stronger cyber safeguards before they can be generally released. We’re making swift progress on developing these safeguards and expect to be able to b…

> Probably more interesting It is widely suspected that self-inflicted "bad news" ("Mythos is so dangerous we just can't give the public access to it") is nothing more than Dario's typical style of marketing - keep in mind that they have an IPO coming up, because he certainly factors that into everything he says in public (as is his responsibility, to be fair). An alternative reason for delaying the model might not b…

What sort of clever handholding does Claude code do?

Re: Claude Opus 4.8

#685

Post by missedthecue »

siwakotisaurav wrote: post #100

Was about to split my $200 max plan into $100 Claude and $100 codex, let’s see if I still need to

You should still do this because claude and codex are good at different things. Once you have claude write build plans and codex rip it to shreds and iterate, you'll wonder how you ever AI-coded before.

Re: Claude Opus 4.8

#686

Post by saghm »

eminence32 wrote: post #548
simonw wrote: post #73

I generated pelicans riding bicycles on both thinking level low and thinking level high: https://gist.github.com/simonw/68560eddb0b268a8417f80ceb7304... The high one is notably better - the bicycle frame is the correct shape, unlike thinking level low. For comparison, here's Opus 4.7: https://gist.github.com/simonw/afcb19addf3f38eb1996e1ebe749c...

I bet someone shares this link every time you post about bicycles, but since I didn't see anyone share it yet in this thread, I'll take the opportunity to do so: https://www.gianlucagimini.it/portfolio-item/velocipedia/ Turns out even humans can be pretty bad at drawing bicycles :)

Sure, but no one is trying to force art from most people into about every area in the economy where anyone ever pays for something visual. If you asked professional artists to draw a realistic bicycle, I'm guessing few of them would try to just randomly guess what the mechanical parts looked like

Re: Claude Opus 4.8

#687

Post by fl0id »

NiloCK wrote: post #77

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…

tbh, the last 2-3 version bumps, main change has been that they take longer, and cost more/have more usage restrictions. (combined with new tooling, which eats a ton of tokens)

Re: Claude Opus 4.8

#688

Post by UncleOxidant »

onlyrealcuzzo wrote: post #136
NiloCK wrote: post #77

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…

> It is almost guaranteed that a 60-90B model can outperform current SOTA in coding tasks within 2-3 years

Given how well Qwen3.6-27B performs for such a small model I think you could be right. I suspect that Google,OpenAI,Anthropic must be looking at the Qwen3.6 models (as well as Deepseek V4-flash, MiMo-V2.5) and wondering if they could make some smaller models that are specifically trained for certain activities - like coding. Smaller, more targeted models would take up a lot less resources.

Re: Claude Opus 4.8

#689

Post by user2840 »

Thanks for sharing this update on Claude Opus 4.8! It's great to see Anthropic continuing to improve their models. Looking forward to trying out the new capabilities.

Re: Claude Opus 4.8

#690

Post by reppap »

wg0 wrote: post #104

There is a hole in the boat's bottom due to Chinese models. They might not be as good but they are not bad either or at least I had hard time finding any issues with Deepseekv4 Flash and Pro variants. They get their job done sometimes rarely giving up till they are done what they are after. So even for enterprise deployments, as the dust settles down, CFO/CTOs might find out that deploying on an internal cluster of G…

The problem with going for open source models is that you are betting on some third party to keep doing expensive model training and releasing it for free, forever. What do you do if deepseek never release another update to the model?
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