Tag: Reddit

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]

Hi, guys, I m building GitNexus, an opensource Code Intelligence Engine which works fully client sided in-browser. What all features would be useful, any integrations, cool ideas, etc? site: https://gitnexus.vercel.app/ repo: https://github.com/abhigyanpatwari/GitNexus ( Would appreciate a ⭐) This is the crux of how it works: Repo parsed into Graph using AST -> Embeddings model running in browser creates the embeddings -> Everything is stored in a graph DB ( this also runs in browser through webassembly ) -> user sees UI visualization -> AI gets tools to query graph (cyfer query tool), semantic search, grep and node highlight. So therefore we get a quick code intelligence engine that works fully client sided 100% private. Except the LLM provider there is no externa...

I really wanted to like it. It’s built into Windows, it’s free, and Microsoft is throwing everything at AI. But after giving Copilot a solid try for the last few months, I’ve come to a frustrating conclusion: it feels like it’s a good 12 months behind the curve compared to models like ChatGPT, Claude, Perplexity and Gemini. My main gripes: The “Helpfulness” Filter is Aggressive to a Fault: I ask for a slightly creative or edgy rewrite of an email, and it falls over itself with “I can’t assist with that.” I’m not asking for anything crazy! Other models understand nuance and intent way better. Output is Just… Weaker: The responses often feel generic, shorter, and lack the depth or insightful “spark” I get elsewhere. It’s like talking to a very cautious, middle-management AI. Context Gets...

I'm new to this sub. I was hoping to converse a little and get some opinions on this. I think it's an interesting phenomena within our society at the moment, where if you think about AI as a tool, and I personally see it as the greatest tool ever invented/gifted to mankind, why, or what is the issue, with using it? You see it all throughout society. People are up in arms about students using it to write papers is a big one, and I wonder, did papers ever need to be written in the first place? I apologize if this has already been answered to the nth degree and been beaten into the dirt, but realistically wouldn't it be possible that the ideas supporting this non-use of AI are rooted in established organizations that stand to suffer when they are completely obliterated by a tool that can not ...