The point is, LLMs don’t answer your questions accurately—rather, they deliver a lump of text in the shape of an answer. https://www.antipope.org/charlie/blog-static/2023/12/made-of-lies-and-more-lies.html

Using its hardware prowess is an obvious step for Apple, but company watchers have to be excited by the quiet moves they are making on the software front. They just released MLX, a new (machine learning) ML framework for Apple Silicon. This isn’t surprising — during the M3 MacBook launch, Apple was pretty explicit in saying…

… due to the “large variation between image generation models,” that number can also be smaller. Overall, across all models the researchers tested, generating 1,000 images took an average of 2.907 kWh, roughly the equivalent of charging a phone’s battery to 24 percent per image. Generating text, however, is a seemingly far less power-hungry process and…

One idea I’ve been playing with recently is that the current hype around AI doesn’t actually have anything to do with AI. For instance, as I wrote last week, I think Big Tech is actually more jealous that ChatGPT isn’t an advertising business — and that it might destroy online advertising if it really catches on —…

OpenAI may be chasing after enterprise users, but some of its executives warn people not to expect the technology to change their businesses quickly.  OpenAI chief operating officer Brad Lightcap said in an interview with CNBC that one of the more overhyped parts of artificial intelligence is that “in one fell swoop, [it] can deliver substantive business…

People are scared of AI. At the most plausible and reasonable level, people are scared AI will either take their job or make their work far less valuable. We know, for example, that freelance copywriters and graphic designers are being offered fewer jobs and are paid significantly less when they get one. On the other, more speculative end,…