Open AI just released ChatGPT 4o. The launch demo is available on YouTube, and yes, it is impressive. They did not launch v5, though, and 4o is only incremental, not exponential, as v4 has been compared to its predecessor. It may mean we’re at the end of the “exponential growth” phase of LLM models. However, the most critical aspect of this release is not technical, as Ethan Mollick correctly pinpoints in his timely What Open AI Did post: ...
It’s very fast to build something that’s 90% of a solution. The problem is that the last 10% of building something is usually the hard part which really matters, and with a black box at the center of the product, it feels much more difficult to me to nail that remaining 10%. Closing that gap with gen AI feels much more fickle to me than a normal engineering problem. It could be that I’m unfamiliar with it, but I also wonder if some classes of generative AI based products are just doomed to mediocrity as a result. ...
Molly White’s experience with LLMs corresponds more or less with my own, but she is much better at recounting, critiquing, and drawing conclusions than I am. I find my feelings about AI are actually pretty similar to my feelings about blockchains: they do a poor job of much of what people try to do with them, they can’t do the things their creators claim they one day might, and many of the things they are well suited to do may not be altogether that beneficial. And while I do think that AI tools are more broadly useful than blockchains, they also come with similarly monstrous costs. ...
I spent the day doing remote maintenance on multiple Linux machines via ssh. The revelation is that ChatGPT is the bomb for these tasks: What does that command option do? I am trying to remember. What syntax is to install that peculiar and rarely used package on Debian? I am getting this locale configuration error; what was the fix again? All this stuff is answered much sooner than searching online, no matter the search engine. ...
Yesterday’s OpenAI launch of Sora is, as is always the case with OpenAI, mind-boggling. Marquees Browniee’s comment is spot-on, so much so as he’s obviously involved in the video-making scene. I don’t think content creators are at risk with Sora, not anytime soon, but, as Marquees repeatedly notes in the video above, just one year ago we thought AI-generated video was a joke. ...
Ethan Mollick, one of my few LLM/AI sources, just dropped his first impressions on Gemini Advanced, released today, but which he’s been testing for a month in early access. Let me start with the headline: Gemini Advanced is clearly a GPT-4 class model. The statistics show this, but so does a month of our informal testing. And this is a big deal because OpenAI’s GPT-4 (the paid version of ChatGPT/Microsoft Copilot) has been the dominant AI for well over a year, and no other model has come particularly close. Prior to Gemini, we only had one advanced AI model to look at, and it is hard drawing conclusions with a dataset of one. Now there are two, and we can learn a few things. ...
Just Tell Me cleverly leverages ChatGPT to provide short, insightful summaries of YouTube videos. Have you ever wasted some time watching a youtube video, that got you kind of interested because of the click-baity topic, but in the end turned out to be nothing more BUT click-bait? Or have you ever wanted to just quickly recall what a video that you’ve watched some time ago was about? Just Tell Me has you covered! ...
I think I like his take on the topic.
Professor Ethan Mollick’s Signs and Portents analyzes what AI has achieved, what the effects have been so far, and what we might expect in 2024. To ground ourselves, we can start with two quotes that should inform any estimates about the future. The first is Amara’s Law: “We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run.” Social change is slower than technological change. We should not expect to see immediate global effects of AI in a major way, no matter how fast its adoption (and it is remarkably fast), yet we certainly will see it sooner than many people think. ...
Simon Wilson, who’s recently been my go-to person for all AI-related stuff, has an excellent 2023 AI round-up on his website. 2023 was the breakthrough year for Large Language Models (LLMs). I think it’s OK to call these AI—they’re the latest and (currently) most “interesting development in the academic field of Artificial Intelligence that dates back to the 1950s. Here’s my attempt to round up the highlights in one place! The links contained within the post are also valuable. You may know Simon’s website if you are interested in LLMs and AI. If you don’t, I suggest you start following him, preferably via his RSS feed like real hackers do. ...