Bisher haben mir die E-Mails reicher kinderloser Witwen, die ihr Vermögen verschenken wollen, durch die Formulierungen, Ausdrucks- und Übersetzungsfehler eigentlich immer einigen Spaß bereitet.
Aber nun scheint man sich Hilfsmitteln wie #ChatGPT zu bedienen. Da geht der besondere Charme verloren. Schade. Ich hätte sonst gern die gewünschten persönlichen Daten geschickt. #LLM
The only way that technology can boost the standard of living is if there are economic policies in place to distribute the benefits of technology appropriately. #AI will certainly reduce labor costs and increase profits for corporations, but that is entirely different from improving our standard of living.
The only way that technology can boost the standard of living is if there are economic policies in place to distribute the benefits of technology appropriately. #AI will certainly reduce labor costs and increase profits for corporations, but that is entirely different from improving our standard of living.
ToM is an internal state of this-agent about the internal state (mind) of other-agent. It is a prediction of other-agent's future actions, made up to guide proper (re)action of this-agent.
Agent-other-ness needs this-ness of an agent(!).
But, a thing can output something (text) that induces a ToM in an agent (reader), even about that agent itself.
Thing's text mimics signals-tinted-with-ToM of typical agents.
When I look at #ChatGPT and similar new #LLM#AI tools, it really reminds of the virtual librarian in Neil Stephenson's Snow Crash.
When I read it a few years ago, I found the librarian a little too far fetched.
But now the virtual librarian pretty much exists, exactly as described in the book. Even some of the limitations described have proven to be spot-on.
It is a visionary piece of #literature on so many levels.
Nice article about AI, "The reality is that no one at the beginning of the printing press had any real idea of the changes it would bring. No one at the beginning of the fossil fuel era had much of an idea of the changes it would bring." https://www.thefp.com/p/there-is-no-turning-back-on-ai #AI
"Can A.I. ameliorate the inequities of our world other than by pushing us to the brink of societal collapse?
"If A.I. is as powerful a tool as its proponents claim, they should be able to find other uses for it besides intensifying the ruthlessness of capital.”
Google “We Have No Moat, and Neither Does OpenAI” - Google insider admits that Open Source #AI is already far ahead of anything Google, Microsoft or any other private corp is working on. Not surprising. Release exciting, high-potential new technology into the wild and this is what happens. So Google asks: Where do we add value to the process? Good question. Or is this a case where legacy industry giants simply won’t have a role? #OpenSource is leading the way, and that’s both encouraging AND somewhat alarming. Alarming because the potential for negative outcomes, fraud, misinformation and massive job loss remain in the absence of government oversight and regulation. #ArtificialIntelligence#LLM#ChatGPT#GPT4#singularityhttps://www.semianalysis.com/p/google-we-have-no-moat-and-neither
I'm intrigued by @simon's exploration of #LLM prompt injections.¹ It reminds me #GEB Contracrostipunctus — If Record Player X is sufficiently high-fidelity, then when it attempts to play the song 'I Cannot Be Played on Record Player X', it will break.² And jumping out of the system with "Record Player Omega" that works by scanning the record and reconfiguring the player into something which won’t break.³
I wonder if future #LLM-driven IDEs will look more like GitHub than a code editor: you file an "issue" to tell the bot what you need, it creates a PR for you to review, you test it, review it, make some changes, ask it to change other things and refine your specs in the issue until you're happy and merge.
That's the workflow I find myself using with ChatGPT, but all the copying and pasting between browser and IDE, and repetitions in the chat make it clumsy. GitHub solved most of the UX for that already.
"It’s increasingly looking like this may be one of the most hilariously inappropriate applications of AI that we’ve seen yet." I am riveted by the extensive documentation of how ChatGPT-powered Bing is now completely unhinged. @simon has chronicled it beautifully here: https://simonwillison.net/2023/Feb/15/bing/
...in disagreement about the definition and the terminology.
E.g. in this @reuters article, they state that #LLM's are a form of #GenerativeArtificialIntelligence (#GAI), while also starting that "Like other forms of artificial intelligence, generative AI learns how to take actions from past data. "