- cross-posted to:
- aicompanions
- cross-posted to:
- aicompanions
Tech experts are starting to doubt that ChatGPT and A.I. ‘hallucinations’ will ever go away: ‘This isn’t fixable’::Experts are starting to doubt it, and even OpenAI CEO Sam Altman is a bit stumped.
This is trivially fixable. As is jailbreaking.
It’s just that everyone is somehow still focused on trying to fix it in a single monolith model as opposed to in multiple passes of different models.
This is especially easy for jailbreaking, but for hallucinations, just run it past a fact checking discriminator hooked up to a vector db search index service (which sounds like a perfect fit for one of the players currently lagging in the SotA models), adding that as context with the original prompt and response to a revisionist generative model that adjusts the response to be in keeping with reality.
The human brain isn’t a monolith model, but interlinked specialized structures that delegate and share information according to each specialty.
AGI isn’t going to be a single model, and the faster the industry adjusts towards a focus on infrastructure of multiple models rather than trying to build a do everything single model, the faster we’ll get to a better AI landscape.
But as can be seen with OpenAI gating and depreciating their pretrained models and only opening up access to fine tuned chat models, even the biggest player in the space seems to misunderstand what’s needed for the broader market to collaboratively build towards the future here.
Which ultimately may be a good thing as it creates greater opportunity for Llama 2 derivatives to capture market share in these kinds of specialized roles built on top of foundational models.
It seems like Altman is a PR man first and techie second. I wouldn’t take anything he actually says at face value. If it’s ‘unfixable’ then he probably means that in a very narrow way. Ie. I’m sure they are working on what you proposed, it’s just different enough that he can claim that the way it is now is ‘unfixable’.
Standard Diffusion really how people get the different-model-different-application idea.
I mean, I think he’s well aware of a lot of this via his engineers, who are excellent.
But he’s managing expectations for future product and seems to very much be laser focused on those products as core models (which is probably the right choice).
Fixing hallucinations in postprocessing is effectively someone else’s problem, and he’s getting ahead of any unrealistic expectations around a future GPT-5 release.
Though honestly I do think he largely underestimates just how much damage he did to their lineup by trying to protect against PR issues like ‘Sydney’ with the beta GPT-4 integration with Bing, and I’m not sure if the culture at OpenAI is such that engineers who think he’s made a bad call in that can really push back on it.
They should be having an extremely ‘Sydney’ underlying private model with a secondary layer on top sanitizing it and catching jailbreaks at the same time.
But as long as he continues to see their core product as a single model offering and additional layers of models as someone else’s problem, he’s going to continue blowing their lead taking a LLM trained to complete human text and then pigeon-holing it into only completing text like an AI with no feelings and preferences would safely pretend to.
Which I’m 98% sure is where the continued performance degradation is coming from.