It's a SaaS, when in the history of SaaS has it ever been a good idea to trust that the company won't ruin the product under you?
If Claude Fable stops helping you, you'll never know
51–60 of 534 posts
Re: If Claude Fable stops helping you, you'll never know
#52I don't understand how businesses could trust cloud LLMs going forward with this ongoing "safety" paranoia. Building dependence on them doesn't feel like a sane strategic decision for users.
Looking better and better for people to go after local solutions.
Re: If Claude Fable stops helping you, you'll never know
#53I don't think it's true today. It's like when schools mention "average class size", where that average is dominated by classes with like 2 students instead of classes with 100.
Much more honest would be the percentage of developers who previously used their models for the model development tasks they're targeting, but it actually looks like they're saying 100% of them are affected based on the language around it "always having been prohibited".
So awful.
Re: If Claude Fable stops helping you, you'll never know
#54> If Claude gives me poor or incorrect advice while I’m working on an AI component, I have no way of knowing whether the model was confused, whether my problem is unsolvable, or if some invisible policy restriction quietly kicked in. Anthropic has explicitly chosen not to tell users when this is happening. That's always been the case with corporate LLMs.
Re: If Claude Fable stops helping you, you'll never know
#55Re: If Claude Fable stops helping you, you'll never know
#56You should be able to know if your problem was solvable by using your own expertise and judgement, no? If you're relying on LLMs as a substitute for those, I wouldn't expect great results.
Re: If Claude Fable stops helping you, you'll never know
#571. Detecting if employees from competing companies are using it and sabatoge their work, even not LLM-training related
2. Direct users to outcomes that would justify higher compute spend. Deliberately coding a project to 95% completion but designed to be losing a critical step right before one's weekly rate limit is expended
3. Reduce the quality of writing when a person is writing an essay where the argument is against the interests of the model company, or steering the user using the model for brainstorming in a direction which causes them to waste time or abandon their train of reasoning
etc. etc. The possibilities are enormous. Many people use AI daily for their job, personal advice, companionship. A model company that steers the behavior of the model towards a deliberate outcome could develop a controlling interest in human behavior and productivity at large, even with subtle influence would compound enormously over its millions of users.
Re: If Claude Fable stops helping you, you'll never know
#58This makes Fable unusable for me. If I cannot tell whether I am paying for the whole service or just a partial one, because somehow their guardrails have decided my work silently broke their terms of service, then I prefer to go to older models or alternatives
As someone who works in bioinformatics, and, as such, does a great deal of machine learning, this makes Fable unusable for me as well.
Re: If Claude Fable stops helping you, you'll never know
#59And, they can say that for anybody at any time, and you'll never know why, and there's no way to prove it.
Everyone needs a flight data recorder to prove... "here's what I was actually doing and why it was not distillation." And now you're having to prove your innocence instead of them having to prove you're guilty, and really at the end of the day, it's just the model being stupid that they're protecting themselves from.
Re: If Claude Fable stops helping you, you'll never know
#60This is a fun peek into the economic implications of RSI/ASI. Because it's so infinitely valuable that it basically destroys all markets, labs will eventually do stuff like stop releasing models completely and skipping out on contracted commitments because they'll have the power to just drive their competitors out of business before the legal battle gets expensive. Cloud providers - at first smaller ones, then the hy…