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For the lmarena leaderboard to be really useful you need click the "Style Control" button so that it normalizes for LLMs that generate longer answers, etc. that, while humans may find them more stylistically pleasing, and upvote them, the answers often end up being worse. When you do that, o1 comes out on top followed by o1-preview, then Sonnet 3.5, and in fourth place Gemini Preview 1206.


If I want to talk to AI I know where chatgpt.com is. I don't need it shoved in my face when I'm trying interact with people on social media.


I like how it cites relevant Youtube videos based on the search and shows thumbnails of the videos in its results. As far as I can tell ChatGPT doesn't do this.


When Half-Life 2 came out it caused me to break a video game addiction I'd had since being a teenager. I was so awestruck by the quality and enjoyment I derived from the game that after playing through it any other game I tried later paled in comparison to the memory. It got to the point that I couldn't make it more than 30 minutes into a new game without losing interest and eventually I just stopped buying games altogether and that was it. I'm still not sure if this is a good or bad thing.


They weren't legally allowed until very recently.


Leave it alone. It's fine the way it is.


I don't know but I have a Galaxy Fold and I hate the tiny bezels it has in tablet mode. Trying not to touch the screen while holding it adds unnecessary cognitive load and just makes it feel fiddly. I also have a previous gen iPad mini and I love the thicker bezels.


My experience using LLMs to learn is similar. When I read MDN or some O'Reilly tome I get a lot of information but it's in the general sense. I can use what I've learned to build some specific project and it'll work but because the book isn't tailored to the specific thing I'm doing, there will often be a much better way. The LLM on the other hand gives an answer as specific as I'm willing to give it context for and since I know software engineering as a discipline I know when the specific suggestion from the LLM is far superior to the more general method learned in the text book.


My main issue with this is the two hosts seem to be a little too in "sync" with each other. Like they're completing each other's thoughts and sentences without missing a beat. It breaks the illusion of it actually being two different people. Other than that I'm excited about the future of this kind of thing.


They would be wondering why it took so long.


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