421–430 of 1001 posts
Karpathy gave his initial impression: https://x.com/karpathy/status/1891720635363254772 The pull quote is: The impression overall I got here is that this is somewhere around (OpenAI) o1-pro capability
Off topic, but just in case: is there a good reference on how people actually use LLMs on a daily basis ? All my attempts so far have been pretty underwhelming: * when I use chatbots as search engines, I'm very quickly disappointed by obvious hallucinations * I ended up disabling github copilot because it was just "auto-complete on steroids" at best, and "auto-complete on mushrooms" at worst * I rarely have use cases…
I use them as a springboard for things I am really unfamiliar with. I'm self-learning electronics at the moment, and so I can ask it things like "what's a common and widely available cooperator." You will not find that answer on a search engine, I don't care how good your Google fu is. It's a weak jack of all trades: it knows a fair amount about the sum of human knowledge (which is objectively super-human), but can't…
Edit: if anybody knows otherwise, show me some evidence, don't just downvote. If these things are widely used, why are they impossible to find by searching? Why doesn't this electronics site know about them:
https://www.eeeguide.com/?s=cooperator
Why aren't they in any books when I did a full-text search on archive.org? Why doesn't Wikipedia know about them? Why aren't there threads about them on electronics forums?
I found them (through an image search) in exactly one place: educational training boards made in India by Jainco, like this one:
https://jaincolab.in/delta-modulation-and-demodulation
But this other one talks about a "ramp comparator" and then repeats the phrase but using "ramp cooperator" instead.
https://www.jaincolab.com/firing-circuit-using-ramp-comparat...
So I surmise it's an error and not a real thing.
Earlier quoted context omitted.
The premise is that this ultimately replaces all intellectual and physical labor for the rest of time. It’s possible it becomes commoditized as soon as it exists, but in terms of investment dollars it’s either worth as much as you can spend or nothing at all.
> ultimately replaces all intellectual and physical labor for the rest of time Sounds incredibly valuable, but in reality collapses into Butlerian Jihad fairly quickly when you have 90% unemployment. Edit: if the claims are true, then this will be far more destabilizing than social media. What do elections mean when the AI-guided political parties are putting out AI press releases for the AI press summaries, which vo…
If what they say is true, then you have to give them credit for catching up incredibly fast. And slightly pulling ahead. Not only with the models, but also products.
I don't think anyone who's paid attention to the LLM scene will give them any “credit for catching up fast” as it has been pretty obvious for the past two years that all it takes to reach the state of the art is a big enough GPU cluster. Deepseek made the news because how they were able to do it with significantly less hardware than their American counterparts, but given that Musk has spent the last two years telling…
What are your first impressions using it? (Not available in Europe currently). Is it a game-changer?
>Not available in Europe currently I hate how its the same story for every new AI technology. If someone can tell me who to vote for or where to protest to change this awful EU law, that would be great.
What are your first impressions using it? (Not available in Europe currently). Is it a game-changer?
>Not available in Europe currently I hate how its the same story for every new AI technology. If someone can tell me who to vote for or where to protest to change this awful EU law, that would be great.
Earlier quoted context omitted.
I think it's already clear that these are going to be commoditized and the free / open source versions will be good enough to capture enough of the value that the remaining players will not be Facebook-level monopolies on the space
the IP rights holders have yet to bare their teeth. I don't think the outcome you suggest is clear at all, in fact I think if anything entirely the opposite is the most probable outcome. I've lost count of the number of technology epochs that at the time were either silently or explicitly dependent on ignoring the warez aspects while being blinded by the possibilities, Internet video, music and film all went through…
Grok has gotten to the top of one benchmark: https://x.com/lmarena_ai/status/1891706264800936307 It's been said before but it is great news for consumers that there's so much competition in the LLM space. If it's hard for any one player to get daylight between them & the 2nd best alternative, hopefully that means one monopolistic firm isn't going to be sucking up all the value created by these things
Off topic, but just in case: is there a good reference on how people actually use LLMs on a daily basis ? All my attempts so far have been pretty underwhelming: * when I use chatbots as search engines, I'm very quickly disappointed by obvious hallucinations * I ended up disabling github copilot because it was just "auto-complete on steroids" at best, and "auto-complete on mushrooms" at worst * I rarely have use cases…
Here's some things I have in my chatgpt history: - Discussing the various stages of candymaking and their relation to the fundamental properties of sugar syrups, and which candies are crystalline vs amorphous. It turns out junior mints are fudge. Fondant is really just fudge. Everything is fudge, my god. - Summarizing various SEC filings and related paperwork to understand the implications of an activist investor int…
Fudge is made with milk - am I missing a joke?