Earlier quoted context omitted.
What the hell is a "safety score for violence"?
It's making sure AI condemns violence perpetuated by people without power and sanctifies violence of those who have it.
GPT-5.4
381–390 of 868 posts
Re: GPT-5.4
#382Earlier quoted context omitted.
There is extra cost for >272K: > For models with a 1.05M context window (GPT-5.4 and GPT-5.4 pro), prompts with >272K input tokens are priced at 2x input and 1.5x output for the full session for standard, batch, and flex. Taken from https://developers.openai.com/api/docs/models/gpt-5.4
Wow, that's diametrically the opposite point: the cost is *extra*, not free.
I don't think that's a fair reading of the original post at all, obviously what they meant by "no cost" was "no increase in the cost".
Re: GPT-5.4
#383Earlier quoted context omitted.
Ahh, good question. I misunderstood you, apologies. There's no mention of pricing, quotas and so on. Perhaps Codex will still be preferable for coding tasks as it is tailored for it? Maybe it is faster to respond? Just speculation on my part. If it becomes redundant to 5.4, I presume it will be sunset. Or maybe they eventually release a Codex 5.4?
5.3 Codex is $1.75/$14, and 5.4 is $2.50/$15.
Re: GPT-5.4
#384[flagged]
This is the low quality reddit-style garbage that gets upvoted on HN these days?
Yes I'm sure it makes a very nice bicycle SVG. I will be sure to ask the OpenAI killbots for a copy when they arrive at my house.
Re: GPT-5.4
#385Earlier quoted context omitted.
[flagged]
You are applying a problem which every AI company has, not unique to OpenAI. What about other nation-states making auto-AI robots which kill children, will you still choose to pick out OpenAI specifically? Maybe your concern is too late and dozens of countries already are training their own AIs to do that or worse.
Re: GPT-5.4
#386Earlier quoted context omitted.
"that lead to a chat bot being used to identify a school for girls as a valid target" Has it been stated authoritatively somewhere that this was an AI-driven mistake? There are myrid ways that mistake could have been made that don't require AI. These kinds of mistakes were certainly made by all kinds of combatants in the pre-AI era.
Do you think anyone is ever going to say this under any circumstances? That Anthropic were right and they were proved right the very next day? Yeah yeah, they probably had a human in the loop, that’s not really the point though.
Re: GPT-5.4
#387What a model mess! OpenAI now has three price points: GPT 5.1, GPT 5.2 and now GPT 5.4. There version numbers jump across different model lines with codex at 5.3, what they now call instant also at 5.3. Anthropic are really the only ones who managed to get this under control: Three models, priced at three different levels. New models are immediately available everywhere. Google essentially only has Preview models! Th…
I don't know, this feels unnecessarily nitpicky to me
It isn't hard to understand that 5.4 > 5.2 > 5.1. It's not hard to understand that the dash-variants have unique properties that you want to look up before selecting.
Especially for a target audience of software engineers skipping a version number is a common occurrence and never questioned.
Re: GPT-5.4
#388I 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…
Re: GPT-5.4
#389Earlier quoted context omitted.
There is extra cost for >272K: > For models with a 1.05M context window (GPT-5.4 and GPT-5.4 pro), prompts with >272K input tokens are priced at 2x input and 1.5x output for the full session for standard, batch, and flex. Taken from https://developers.openai.com/api/docs/models/gpt-5.4
Good find, and that's too small a print for comfort.
> GPT‑5.4 in Codex includes experimental support for the 1M context window. Developers can try this by configuring model_context_window and model_auto_compact_token_limit. Requests that exceed the standard 272K context window count against usage limits at 2x the normal rate.