Tag: Reddit

"Recently, the application of AI tools to Erdos problems passed a milestone: an Erdos problem (#728) was solved more or less autonomously by AI (after some feedback from an initial attempt), in the spirit of the problem (as reconstructed by the Erdos problem website community), with the result (to the best of our knowledge) not replicated in existing literature (although similar results proven by similar methods were located). This is a demonstration of the genuine increase in capability of these tools in recent months, and is largely consistent with other recent demonstrations of AI using existing methods to resolve Erdos problems, although in most previous cases a solution to these problems was later located in the literature, as discussed in https://mathstodon.xyz/deck/@tao/11578826227...

I'm currently in my undergraduate degree and I have been studying AI ethics under one of my professors for a while. I always have been a partisan of Searle's strong AI and I never really found the chinese room argument compelling. Personally I found that the systems argument against the chinese room to make a lot of sense. My first time reading "Minds, Brains, and Programs" I thought Searle's rebuttal was not very well structured and I found it a little logically incorrect. He mentions that if you take away the room and allow the person to internalize all the things inside the system, that he still will not have understanding--and that no part of the system can have understanding since he is the entire system. I always was confused on why he cannot have understanding, since I imagine this ...

submitted by /u/F0urLeafCl0ver [link] [comments]

As we know, one of the godfathers of AI recently left Meta to found his own lab AMI and the the underlying theme is his longstanding focus on world modelling. This is still a relatively underexplored concept however the recent surge of research suggests why it is gaining traction. For example, Marble demonstrates how multimodal models that encode a sense of the world can achieve far greater efficiency and reasoning capability than LLMs, which are inherently limited to predicting the next token. Genie illustrates how 3D interactive environments can be learned and simulated to support agent planning and reasoning. Other recent work includes SCOPE, which leverages world modelling to match frontier LLM performance (GPT-4-level) with far smaller models (millions versus trillions of parameters),...

submitted by /u/Fcking_Chuck [link] [comments]

submitted by /u/Fcking_Chuck [link] [comments]

submitted by /u/Disastrous_Award_789 [link] [comments]

I’m exploring a design problem around how people find others to talk to about the same thing at the same moment, without relying on forums, tags, or scrolling feeds. Most discussion platforms ask users to choose the right place to post, such as a subreddit, forum, or channel, or to search and scroll through existing threads. This works well for organizing information, but it can be slow and awkward when someone just wants to talk through an idea in real time. The concept I’m exploring is simple: You start any conversation (question, rant, brainstorm, etc.), and an AI instantly connects you with others talking about the same thing — no forums, no tags, just live context-based matching using LLMs. Would this be useful or chaotic? What features or limits would make it work? submitted by ...

submitted by /u/FinnFarrow [link] [comments]

submitted by /u/esporx [link] [comments]