No I like yours better.
No I like yours better.
What about semantics?
“Nothing is better than cake."
“But bread is better than nothing.
"Does that mean that bread is better than cake?”
We donate to Wikipedia once per year.
One of my favourites is “Christ on a bike!” because it’s so hilarious.
They don’t give a definition of ‘incomplete’ or ‘faulty’? Is that on purpose?
“has a model of how words relate to each other, but does not have a model of the objects to which the words refer.
It engages in predictive logic, but cannot perform syllogistic logic - reasoning to a logical conclusion from a set of propositions that are assumed to be true”
Is this true of all current LLMs?
Thank you for replying. This is the level of info I used to love on Reddit and now love on Lemmy.
Thanks for your reply, I appreciate the correction and the info.
Interesting article.
“Instead of passing a law preventing civilians from carrying weapons of war, they enacted a rule prohibiting spectators from carrying small signs into meetings.”
“Americans, whether they own a gun or don’t, want guns kept out of the hands of dangerous and unstable people. Americans, whether they vote for Republicans or Democrats, don’t want children to be blasted into bits at their school desks. As we have lately learned here in Tennessee, that’s a lot of common ground.”
The thing that strikes me about LLMs is that they have been created to chat. To converse. They’re partly influenced by Turing tests where the objective is to convince someone you’re human by keeping up a conversation. They weren’t designed to create meaningful content or factual content.
People still seem to want to use chat GPT to create something, and fix the accuracy as a second step. I say go back to the drawing board and create a tool that analyses statements and tries to create information based on trusted linked open data sources.
Discuss :)
Absolutely. Do you remember the herp derp extension that would turn them all into ‘herp derp herp derp’ so that you wouldn’t have to read them?
Ah, the positive characteristics of people who are early adopters of new technology, and capable of navigating their way onto a system where signing up wasn’t trivial. Seems to be highly correlated with language skills like spelling, grammar and vocabulary. I recognise my privilege.
The customer is not always right. Sometimes the customer is a douchebag.
Moderation in all things.
To avoid negative thinking, challenge the thought that a problem is personal, pervasive or permanent (Martin Seligman)
Parenting: Set a good example. Don’t punish. Teach. Tell them what TO do, not what not to do.
Having ideas about the way things ought to be is great, but you can only respond to what is.
Be excellent to each other. Do as you would be done by.
Ah, the corporate enshittification of search.
Angry upvote you brilliant bastard!
In Australia we have Joe Bloggs, but it sounds English. Do you have him in England?
Hence the job title ‘prompt engineer’ I guess. If you know about Soylent Green, AI is people!