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Show HN: Lar-JEPA – A Testbed for Orchestrating Predictive World Models https://ift.tt/w69XJgi
Show HN: Lar-JEPA – A Testbed for Orchestrating Predictive World Models Hey HN, The current paradigm of agentic frameworks (LangChain, AutoGPT) relies on prompting LLMs and parsing conversational text strings to decide the next action. This works for simple tasks but breaks down for complex reasoning because it treats the agent's mind like a scrolling text document. As research shifts toward Joint Embedding Predictive Architectures (JEPAs) and World Models, we hit an orchestration bottleneck. JEPAs don't output text; they output abstra…
Show HN: I Built Smart Radio That Auto-Skips Talk and Ads by Using ML https://ift.tt/jsZdgqR
Show HN: I Built Smart Radio That Auto-Skips Talk and Ads by Using ML Hi, I built TuneJourney to solve a specific annoyance: radio ads and DJ chatter. The core feature is an in-browser "AI Skip Talk" filter. The Tech: Instead of processing on a server, it uses the Web Audio API to capture the stream locally and runs a lightweight ML classification model directly in your browser. It estimates the music vs. speech probability in near real-time. If enabled, it automatically triggers a "next" command to hop to another station t…
Show HN: Safari-CLI – Control Safari without an MCP https://ift.tt/Xj6y9BM
Show HN: Safari-CLI – Control Safari without an MCP Hello HN! I built this tool to help my agentic software development (vibe coding) workflow. I wanted to debug Safari specific frontend bugs using copilot CLI, however MCP servers are disabled in my organisation. Therefore I built this CLI tool to give the LLM agent control over the browser. Hope you'll find it useful! https://ift.tt/vb1kdKu February 27, 2026 at 12:18AM
Show HN: Gitbusiness.com I created it, and Indeed, I use my own stuff https://ift.tt/XpBMKeI
Show HN: Gitbusiness.com I created it, and Indeed, I use my own stuff I manually coded it, took 6 months, before the existence of AI llms. Ask me anything, I'd be happy to answer you. February 26, 2026 at 01:18AM
Show HN: Respectify – A comment moderator that teaches people to argue better https://ift.tt/FlBiM0w
Show HN: Respectify – A comment moderator that teaches people to argue better My partner, Nick Hodges, and I, David Millington, have been on the Internet for a very long time -- since the Usenet days. We’ve seen it all, and have long been frustrated by bad comments, horrible people, and discouraging discussions. We've also been around places where the discussion is wonderful and productive. How to get more of the latter and less of the former? Current moderation tools just seem to focus on deletion and banning. Wouldn’t it be helpful to en…
Show HN: I built an iOS app that turns EPUBs into audiobooks https://ift.tt/lSCueWE
Show HN: I built an iOS app that turns EPUBs into audiobooks I had a bunch of ebooks with no audiobook version available. So I built an iOS app that converts EPUB files into audiobooks using text-to-speech. Two voice options: - Free on-device voices (processed locally, no server needed) - Natural cloud voices (one-time purchase per book, no subscription) Cloud conversion runs chunk by chunk. You can start listening other chapters generate in the background. Once done, the audiobook lives on your device. No account required. No subscription. Yo…
Show HN: PureBee – A software-defined GPU running Llama 3.2 1B at 3.6 tok/SEC https://ift.tt/ORL9wD5
Show HN: PureBee – A software-defined GPU running Llama 3.2 1B at 3.6 tok/SEC This started as a question about simulation theory: if a GPU is just rules applied to a grid in parallel, do you actually need the silicon? Turns out, no. PureBee is a complete GPU defined as a software specification — Memory, Engine, Instruction Set, Runtime. It runs Llama 3.2 1B inference at 3.6 tok/sec on a single CPU core. The model answers questions correctly. What makes it different from llama.cpp or WebLLM: The WASM compute kernel is constructed byte-by-byte i…
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