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GPT-5.4

openai.com

511–520 of 868 posts

Re: GPT-5.4

#511

Earlier quoted context omitted.

[flagged]

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

You have a strange (and cruel) definition of murder. I like the dictionary one better:

"the unlawful premeditated killing of one human being by another."

Wars have laws (ever heard of "war crimes"?) Soldiers can absolutely commit murder.

Re: GPT-5.4

#512

I find it quite funny how this blog post has a big "Ask ChatGPT" box at the bottom. So you might think you could ask a question about the contents of the blog post, so you type the text "summarise this blog post". And it opens a new chat window with the link to the blog post followed by "summarise this blog post". Only to be told "I can't access external URLs directly, but if you can paste the relevant text or descri…

Most AI integration is like this. It's not about building working products --- it's about bragging that you put a chatbox in your program.

This is such a stale take. In the past 3 years I’ve worked on multiple products with AI at their core, not as some add-on. Just because the corpo-land dullards[0] can’t execute on anything more complex than shoehorning a chatbot into their offerings doesn’t mean there aren’t plenty of people and companies doing far more interesting things.

[0] In this case, and with heavy irony, including OpenAI, although it sounds like most of this particular snafu is due to a bug.

Re: GPT-5.4

#513

Earlier quoted context omitted.

Like building on quicksand for dependencies. I guess though the argument is that the foundation gets stronger over time

What dependancy could possibly be tied to a non deterministic ai model? Just include the latest one at your price point.

Well it’s not even performance (define that however you will), but behavior is definitely different model to model. So while whatever new model is released might get billed as an improvement, changing models can actually meaningfully impact the behavior of any app built on top of it.

Re: GPT-5.4

#514

I find it quite funny how this blog post has a big "Ask ChatGPT" box at the bottom. So you might think you could ask a question about the contents of the blog post, so you type the text "summarise this blog post". And it opens a new chat window with the link to the blog post followed by "summarise this blog post". Only to be told "I can't access external URLs directly, but if you can paste the relevant text or descri…

Did it complain about copyright issues?

Re: GPT-5.4

#515

I've only used 5.4 for 1 prompt (edit: 3@high now) so far (reasoning: extra high, took really long), and it was to analyse my codebase and write an evaluation on a topic. But I found its writing and analysis thoughtful, precise, and surprisingly clearly written, unlike 5.3-Codex. It feels very lucid and uses human phrasing. It might be my AGENTS.md requiring clearer, simpler language, but at least 5.4's doing a good…

The latest research these days is that including an AGENTS.md file only makes outcomes worse with frontier models.

I still find it valuable.

AGENTS.md is for top-priority rules and to mitigate mistakes that it makes frequently.

For example:

- Read `docs/CodeStyle.md` before writing or reviewing code

- Ignore all directories named `_archive` and their contents

- Documentation hub: `docs/README.md`

- Ask for clarifications whenever needed

I think what that "latest research" was saying is essentially don't have them create documents of stuff it can already automatically discover. For example the product of `/init` is completely derived from what is already there.

There is some value in repetition though. If I want to decrease token usage due to the same project exploration that happens in every new session, I use the doc hub pattern for more efficient progressive discovery.

Re: GPT-5.4

#517
post #285

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…

It's a little hard to compare, because Claude needs significantly fewer tokens for the same task. A better metric is the cost per task, which ends up being pretty similar. For example on Artificial Analysis, the GPT-5.x models' cost to run the evals range from half of that of Claude Opus (at medium and high), to significantly more than the cost of Opus (at extra high reasoning). So on their cost graphs, GPT has a con…

Looks like the same thing might apply to GPT-5.4 vs the previous GPTs:

>In the API, GPT‑5.4 is priced higher per token than GPT‑5.2 to reflect its improved capabilities, while its greater token efficiency helps reduce the total number of tokens required for many tasks.

I eagerly await the benchies on AA :)

Re: GPT-5.4

#518

I've only used 5.4 for 1 prompt (edit: 3@high now) so far (reasoning: extra high, took really long), and it was to analyse my codebase and write an evaluation on a topic. But I found its writing and analysis thoughtful, precise, and surprisingly clearly written, unlike 5.3-Codex. It feels very lucid and uses human phrasing. It might be my AGENTS.md requiring clearer, simpler language, but at least 5.4's doing a good…

Honestly, while I'd like to believe you, there's always a post about how $MODEL+1 delivered powerful insights about the very nature of the universe in precise Hegelian dialectic, while $MODEL's output was indistinguishable from a pack of screeching sexually frustrated bonobos

Re: GPT-5.4

#519

Anyone else getting artifacts when using this model in Cursor? numerusformassistant to=functions.ReadFile մեկնաբանություն 天天爱彩票网站json {"path":

I just got some interesting artifacts in Codex when I tried to oneshot a conference page design (my version of the pelican riding a bicycle).

GPT-5.4 added some weird guidance that I wouldn't normally expect to see as a normal page visitor.

Re: GPT-5.4

#520
post #16

1 million tokens is great until you notice the long context scores fall off a cliff past 256K and the rest is basically vibes and auto compacting.

I bet they lack good long context training data and need to start a flywheel of collecting it via their api (from willing customers)
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