Generative AI
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Generative AI
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mattprd.com
The programmer Simon Willison has described the training for large language models as “money laundering for copyrighted data,” which I find a useful way to think about the appeal of generative-A.I. programs: they let you engage in something like plagiarism, but there’s no guilt associated with it because it’s not clear even to you that you’re... See more
Ted Chiang • Why A.I. Isn’t Going to Make Art | the New Yorker
High-quality inputs are rewarded with high-quality outputs; the software is a kind of mirror. What’s happening is data exchange between user and bot—but it is also a mutual manipulation, a flywheel, an ouroboros.
Anna Wiener • The Age of Chat
With many 🧩 dropping recently, a more complete picture is emerging of LLMs not as a chatbot, but the kernel process of a new Operating System. E.g. today it orchestrates:
- Input & Output across modalities (text, audio, vision)
- Code interpreter, ability to write & run… Show more
AI-first companies are going to change the world.
I’m going into learning mode on the space.
I will share what I learn in real time on this thread:
Brett Adcocktwitter.comAlpaca - Humans 🤝 AI Models for Image generation
getalpaca.io