AI Raw Feed
AI news from 20 sources, 50+ tools, guides — no jargon
What it does
AI Raw Feed is the internet's friendliest AI gateway. We auto-aggregate news from 20 AI-dedicated sources daily (clustered and AI-summarized), curate 50+ tools across 7 categories, and provide plain-English explainers for complete beginners. No PhD required. Features include a tools directory with pricing info, YouTube channel guide, beginner tutorials, AI-and-jobs impact analysis, and expert warnings about AI risks. Built for people who want to understand AI without drowning in hype.
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- RTReal-time AI news aggregator with daily digest4d ago · aibriefs.news · ▲13
I decided to build my own AI feeds reader since I wanted features I couldn't find, or at least not in the way I wanted to, for instance: - Filter news by interest/category - Cluster same story from different sources into one - Show short summary of each new so you can skip if it's not really that interesting to you - Track relevant AI figures, but not only their tweets and posts but also their appearences in articles and interviews I'm still tuning it and improving it everyday.
- AFArXiv Feed – An easy way to keep up with AI research2023 · arxiv-feed.vercel.app · ▲32
Hey HN! I've always found it hard to keep up with the latest AI research, so I built Arxiv Feed! https://arxiv-feed.vercel.app/ It's basically a feed of AI research papers + a one-liner explaining what problem its solving, etc. You can also click on any paper to get a TL;DR. Right now, I've only indexed a few hundred large language model papers, but will expand to indexing AI papers in other topics. Thinking of also adding a way for people to up-vote/down-vote papers. Would love to hear any thoughts/feedback! :D Thanks!
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 18d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 28d ago · cactuscompute.com
