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GPT-5.4

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Re: GPT-5.4

#241

Post by gspetr »

tedsanders wrote: post #59
minimaxir wrote: post #8

The marquee feature is obviously the 1M context window, compared to the ~200k other models support with maybe an extra cost for generations beyond >200k tokens. Per the pricing page, there is no additional cost for tokens beyond 200k: https://openai.com/api/pricing/ Also per pricing, GPT-5.4 ($2.50/M input, $15/M output) is much cheaper than Opus 4.6 ($5/M input, $25/M output) and Opus has a penalty for its beta >200…

Yeah, long context vs compaction is always an interesting tradeoff. More information isn't always better for LLMs, as each token adds distraction, cost, and latency. There's no single optimum for all use cases. For Codex, we're making 1M context experimentally available, but we're not making it the default experience for everyone, as from our testing we think that shorter context plus compaction works best for most p…

I have found a bigger context window qute useful when trying to make sense of larger codebases. Generating documentation on how different components interact is better than nothing, especially if the code has poor test coverage.

I've also had it succeed in attempts to identify some non-trivial bugs that spanned multiple modules.

Re: GPT-5.4

#243

Post by jitl »

conradkay wrote: post #231
bicx wrote: post #222

Earlier quoted context omitted.

That last benchmark seemed like an impressive leg up against Opus until I saw the sneaky footnote that it was actually a Sonnet result. Why even include it then, other than hoping people don't notice?

Sonnet was pretty close to (or better than) Opus in a lot of benchmarks, I don't think it's a big deal

wat

Re: GPT-5.4

#246

Post by kranke155 »

ipsum2 wrote: post #111
yanis_t wrote: post #69

These releases are lacking something. Yes, they optimised for benchmarks, but it’s just not all that impressive anymore. It is time for a product, not for a marginally improved model.

The model was released less than an hour ago, and somehow you've been able to form such a strong opinion about it. Impressive!

The models are so good that incremental improvements are not super impressive. We literally would benefit more from maybe sending 50% of model spending into spending on implementation into the services and industrial economy. We literally are lagging in implementation, specialised tools, and hooks so we can connect everything to agents. I think.

Re: GPT-5.4

#247

Post by dmix »

satvikpendem wrote: post #205
ipsum2 wrote: post #111

Earlier quoted context omitted.

The model was released less than an hour ago, and somehow you've been able to form such a strong opinion about it. Impressive!

It's more hedonic adaptation, people just aren't as impressed by incremental changes anymore over big leaps. It's the same as another thread yesterday where someone said the new MacBook with the latest processor doesn't excite them anymore, and it's because for most people, most models are good enough and now it's all about applications. https://news.ycombinator.com/item?id=47232453#47232735

Plus people just really like to whine on the internet

Re: GPT-5.4

#248

Post by nubg »

nickandbro wrote: post #125
GaggiX wrote: post #121

Earlier quoted context omitted.

This pelican is actually bad, did you use xhigh?

yep, just double checked used gpt-5.4 xhigh. Though had to select it in codex as don't have access to it on the chatgpt app or web version yet. It's possible that whatever code harness codex uses, messed with it.

this is proof they are not benchmaxxing the pelican's :-)

Re: GPT-5.4

#249

Post by OsrsNeedsf2P »

hungryhobbit wrote: post #240
gavinray wrote: post #84

The "RPG Game" example on the blogpost is one of the most impressive demo's of autonomous engineering I've seen. It's very similar to "Battle Brothers", and the fact that RPG games require art assets, AI for enemy moves, and a host of other logical systems makes it all the more impressive.

[flagged]

Low quality off-topic comment. It's not murder when they're American soldiers.
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