Rather than directly admit fault they'll regularly respond in subtle (moreso o3) to not so subtle roundabout ways that deflect blame rather than admit direct fault, even when it's an inarguable factual error about even conceptually non-heated things like API methods.
It's an annoying behavior of their models and in complete contrast to say Anthropic's Claude which ime will immediately and directly admit to things it had responded incorrectly about when the user mentions it (perhaps too eagerly).
I have wondered if this is something its learned based on training from places like Reddit, or if OpenAI deliberately taught it or instructed via system prompts to seem more infallible or if models like Claude were made to deliberately reduce that aspect.
I don't know whats better here. ChatGPT did have a tendency to reply with things like "Oh, I'm sorry, you are right that x is wrong because of y. Instead of x, you should do x"
Human-level AI is closer than I'd realised... at this rate it'll have a seat in the senate by 2030.
[0]: https://www.theguardian.com/gnm-press-office/2025/feb/14/gua...
If you don't like the fair use of open information, I would expect you to be cheering this rather than losing respect for those involved.
Your sense of injustice or whatevs you want to call it is aimed in the opposite direction.
Now, that's the upside, the downside is you end up with an AI catering to the typical redditor. Since many claims there are formed on the basis of, "confident, sounds reasonable, speaks with authority, gets angry when people disagree" - hallucinations happen. Rather we want something like "produces evidence-based claims with unbiased data sources"
sama probably would like to take Satya's seat for what he no doubt sees as unblocking the path to utopia. The slight problem is he's becoming a bit lonely in that thinking.
Instead, I’m just going to hang out here in this hacker meadow and on FOSS social networks where something like that would never happen!
My guess is that they’re trying other things to diversify themselves and/or to try to keep investors interested. Whether or not it works is irrelevant as long as they can convince others it will increase their usage.
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C suites are usually made of up really out of touch and weird workaholics, because that is what it takes to make it to the C suite of a large company. They buy DSS (decision support service / software) from vendors, usually marketing groups, that basically tell them what is in and what isn't. Many marketing companies are now getting that data from twitter and reddit, and portraying it as the broad social trend. This is a problem because twitter and reddit are both extremely curated and censored, and the tone of the conversation there is really artificial, and can lead to really bad conclusions.
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This is only somewhat related, but if OpenAI did actually succeed in building their own successful social media platform (doubtful) they would be basing a lot of their model on whatever subset of people wanted to be part of the OpenAI social media platform. The opportunity for both mundane and malicious bias in models there seems huge.
Somewhat related, apparently a lot of English spellings were standardized by the invention of the printing press. This isn't surprising; it was one of the first technologies to really democratize written materials, and so it had a very outsized power to set standards. LLMs feel like they could be a bit like this, particularly if everyone continues with their current trends of intentionally building reliance on them into their products / companies / workflows. As a real life example, someone at work realized you could ask co-pilot to rate the professionalism of your communication during a meeting. This seems quite chilling, since you're not really rating your professionalism, but measuring yourself against whatever weird bell curve exists in co-pilot.
I'm absolutely baffled that LLMs are seeing broad adoption, and absolutely baffled that people intentionally adopting and integrating them into their lives. I'm in my early 40s now. I'm not sure if I can get out of the tech field at this point, but I'm seriously thinking about options at this point.
The social harm inflicted by journalists thinking "Damn, I can just go on twitter to find out what is going on and how people feel about it!"
Whatever happens, it will be the end of programming as I know it, but it cannot end well.
What are these platforms, exactly? I've heard about them but have never come across them.
xAI isn't allowing people to use the Twitter feed to train AI
Google is keeping it's properties for Gemini
Microsoft, who presumably could let OpenAI use it's data fields appears (publicly at least) to be in a love/hate relationship with OpenAI these days.
So you plant a meadow of tasty human interaction morsels to get humans to sit around and munch on them while you hook up your milking machine to their data teats and start sucking data.