My bizarre prediction is since no one can tell smart glasses from real glasses in plastic frames that people are going to migrate to frameless and thin metal glasses just to avoid looking like they are perving on people. New style trend. www.theguardian.com/commentisfre...
Mike Caulfield
Researcher with public evidence across AI research.
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I've wondered a long time why LLMs are so bad at writing prompts for users to use when they seem to be so good at prompting on the fly. It turns out the two things are related.
Claude created a mess with a dumb way it tends to write prompts. I wrote a blog post about this failure mode, but that still left me with a massive mess to tidy up. Then I came up with an idea: have Fable read my post & fix the issue. It fucking worked. mikecaulfield.substack.…
These are short teachable habits and if we spent a fraction of the time we spend yelling at one another about the latest Futurism post actually teaching students how to use AI like this the world would be a better place. More on four habits of prompting here open.substack.com/…
www.theatlantic.com/technology/a...
I did a bit of Fable (and Opus) assisted research on a difference I noticed in how Fable makes decisions on tagging data. The upshot is that Fable seems to treat "certainty" thresholds differently but predictably. This is an AI report here, but could be useful to some claude.a…
Recent commentary
The fact that AI models still can't deal with the conflation problem of film facts is a bit frustrating. No, the Agatha Christie film Endless Night, which has in it the actress who plays Miss Moneypenny in the Bond films, is not a Bond film, a fact easily verifiable against IMDB, Wikidata, etc.
In fairness the reason people think hallucinations are still the core problem of AI is hallucinations are absolutely still a problem in the *free* models. This one about Soderbergh's noir The Underneath is wild.
these facts appeared in an AI summary and I thought, come on
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