You Are Killing Your Greatest Ideas
In design, AI inspires me no more than elevator music or a business presentation. However, it often shows me what I do not want. When I ask Chat-GPT how I could better phrase something, I almost always get the most uninteresting, boring, often meaningless answer. As an author that writes to say something meaningful, get upset about this, and in res... See more
Oliver Reichenstein • AI and the Beauty of Human Flaws
LLMs are known to return the most probable answers within the context, which can sometimes yield fabricated information, termed hallucinations. This is a feature as well as a bug since it highlights their creative potential.
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
If you go too far off the beaten path of algorithmic consistency, you risk never being heard. You may never get enough cultural momentum to exist in any meaningful way. That is a real problem. But if you're too good at algorithmic optimization, you risk building a large audience without saying anything particularly original or important. Not to men... See more
Justin Murphy • The Imperceptible Mechanisms of Deep Community
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 copyi... See more