🔥 Explore this insightful post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: Build on Bitcoin. Inside Rust. A Bitcoin full-node project for developers exploring typed Rust integration, node-owned indexing, and familiar Bitcoin interfaces. Run locally. Inspect the contracts. Share one reproducible result. Getting started · Documentation · Contributing · Benchmarks and limitations Bitcoin Core is the most successful implementation of Bitcoin. Its conservatism, stability, and compatibility discipline are major reasons for that success. Over time, however, those safeguards also shape which changes are practical: existing boundaries accumulate dependencies, and implementation choices harden into assumptions that Bitcoin consensus…
✨ Read this awesome post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: A shareholder photographs sixth-generation high-bandwidth memory (HBM4) and seventh-generation HBM4E chips with a smartphone camera at Samsung Electronics' 57th annual general meeting of shareholders, held in March at the Suwon Convention Center in Yeongtong-gu, Suwon, Gyeonggi Province. Yonhap NewsSamsung Electronics (005930) is expected to more than double output of its HBM4 family of high-bandwidth memory chips next year, including sixth-generation HBM4 and seventh-generation HBM4E, as the company plans to raise demand for glass carriers by 2.5 times from this year. Glass carriers are glass supports…
✨ Read this awesome post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: Small Jev-like decision models you can train and run yourself. Kev is a family of small decision models built on Qwen3.5 and based on the architecture described in Jev's Architecture Unmasked. You can use the pretrained weights or train your own. The API matches TypeSafe's System One, so you can point their Python SDK at your local server. 0.8B, 4B, and 9B models, with training code and evaluation data. Yes/no (noul), multiple-choice (choice), and rating (score) questions in the same request. Questions share the input…
🚀 Check out this awesome post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: mini-AGI - is a continual learning byte-level language model that assembles its own architecture, trains from scratch on a single 8 GB VRAM GPU, and keeps learning from everything it reads. It stores its weights as ordinary files on disk and pages them onto the card as it needs them, so the parameter count is bounded by free disk space rather than by VRAM. It grows new capacity while training when it runs short, prunes what nothing asks for, and reads through exactly the…
🚀 Discover this insightful post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: Recently I went to an all-day event centered around the latest and greatest in the MCP world. While all of the presenters were awesome and seemed to be passionate about the work they were doing, I’m honestly tired of MCP. It’s a horrible protocol built for a time when LLMs weren’t that smart, and we’ve outgrown it. A Brief History MCP was released in November 2024 by the Anthropic team as a protocol designed to help agents connect to external services and data sources.1 The…
💥 Check out this trending post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: Research Highlights Article August 13, 2026 Evidence from a US government lottery shows that restricting foreign low-skill workers shrinks businesses without creating jobs for Americans. Source: Ragesoss, CC BY-SA 3.0 Researchers broadly agree that high-skill immigrants complement native labor. But for low-skill work, the evidence has been less clear, with estimates swinging widely depending on the assumptions made.
In a paper in the American Economic Journal: Applied Economics, authors Michael A. Clemens and Ethan G. Lewis studied the economic effects of low-skill immigration by exploiting…
✨ Read this trending post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: By Sharon Zhang This article was originally published by Truthout More than 80 percent of doctors are employed by corporate entities — a massive increase from 62 percent seven years ago. A group of Democrats has introduced bicameral legislation to ban private equity from owning medical practices as increasingly widespread corporate ownership continues driving up health care costs each year. The bill was introduced Wednesday by Sen. Elizabeth Warren (D-Massachusetts) with the support of 12 other members of the Senate and House. The legislation was…
🔥 Read this trending post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: About Born from research, built for production. AX was born at Google when agentic runtime systems research met frontier compute. Over years of building and operating agentic execution engines, teams across Google recognized that agentic workloads represent an entirely new computing paradigm: stateful, bursty, long-running actors that compute intensely for a minute and then wait for model responses, tool responses, or human approval. Traditional orchestrators built for stateless microservices or predictable batch jobs become cost-prohibitive when keeping idle sandboxes running, yet lack native support for…
💥 Read this trending post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: The usual explanation of backpropagation (Rumelhart et al., 1986), the algorithm used to train neural networks, is that it is propagating errors for each node backwards. But when I first learned about the algorithm, I had a question that I could not find answered directly: why does it have to go backwards? A neural network is just a composite function, and we know how to compute the derivatives of composite functions using the chain rule. Why don’t we just compute the gradient in a forward…
✨ Read this must-read post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: Important🔥 News!!! [2025/05] We update the wandb training record of full DAPO and the checkpoint which achieved 50%+ on AIME 2024. We also provide instructions for evaluation on AIME 2024. [2025/03] We release the training record of an early version of DAPO (w/o Token-level PG Loss & Dynamic Sampling), achieving 44% on AIME 2024, in wandb. We release a fully open-sourced system for large-scale LLM RL, including algorithm, code infrastructure, and dataset. The system achieves state-of-the-art large-scale LLM RL performance. We propose the Decoupled Clip…
