105 related articles

Kimi K3 sets a new open-weight record at 2.8T params, GrokBuild pivots to local-first after a privacy crisis, Open Interpreter rewrites in Rust — a deep dive into five major AI coding agent developments and the shift toward harness transparency.
AirLLM: How a 4GB GPU Can Run a 70B Mo…
AirLLM is an open-source project that uses layer-by-layer inference to run 70B LLMs on a single 4GB GPU. Learn how it works, its tradeoffs, and ideal use cases.
Building AI Engineering Skills from Sc…
A deep dive into 'ai-engineering-from-scratch,' the GitHub project with 38K+ stars that helps developers build real AI engineering skills through a Learn-Build-Ship methodology.

A college student's MLOps 100-day challenge documents the full journey from Python engineering and Git to Docker, model deployment, and monitoring. A practical roadmap for data scientists transitioning to ML engineering.

Step-by-step guide to running local open-source models (Qwen3/Gemma) with Ollama, connecting to Codex via CC Switch for zero-token AI coding. Works on a 6GB VRAM laptop.

Open Book Touch is an open-source E-ink reader with touchscreen and front lighting that fits in your pocket. Explore its features, open-source advantages, and real-world challenges.

Apple sues OpenAI and IO over hardware trade secret theft. Key figures include former VP Tang Tan and engineer Chan Liu. Full breakdown of supply chain infiltration, evidence, and implications.
AI Coding Agents Have Amnesia — An Ope…
Tired of AI coding agents forgetting everything? Explore an open-source SSH-synced memory system that lets Cursor, Claude Code, and other agents retain project context across sessions and devices — no cloud required.

A deep dive into Waku Agent's four pillars: Loop Engineering, three-tier Memory system, Eval assessment, and the Harness scaffold. Full walkthrough of a local-first AI assistant from task execution to memory consolidation.

Bonsai-27B supports binary/ternary extreme quantization for 27B LLMs running on 8GB VRAM. Covers llama.cpp upstream progress, RTX 4060 benchmarks (30 t/s), and real-world limitations.

llama.cpp hits a new milestone, growing from a solo hobby project into core local AI inference infrastructure. Explore its iteration speed, GGUF quantization, and how AI coding agents are reshaping open-source development.

OpenAI Codex is redefining how AI engineers work: from code completion to autonomous Agents, from single-threaded to parallel Value Maxing. A deep dive into the Codex App architecture, open ecosystem, and Manager of Agents practice.

Want to run open-source LLMs like DeepSeek locally for free? Ollama is the easiest solution. This guide covers what Ollama is, its core advantages, and key use cases.
UChicago Law School Bans Laptops in Cl…
UChicago Law School's laptop ban signals deep anxiety over AI misuse in education. We examine why detection tools fail, what's at stake for legal pedagogy, and what comes next.
PrismML Breakthrough: How a 27-Billion…
PrismML compressed Alibaba's Qwen 3.6 from 54 GB to under 4 GB, enabling a fully-activated 27B-parameter model to run locally on iPhone 17 Pro. Here's how.

After Anthropic released Jacobian-Lens, a developer reversed it from an interpretability tool into a behavior editor, manually tuning J-Space to reshape LLM outputs. An in-depth look at the tech, representation engineering, and AI safety risks.

Research Radar is an open-source local AI agent that fetches arXiv papers daily, scores and filters them in batches, deep-reads summaries, and pushes truly relevant content via Telegram. Supports local models, keeps data on your machine, free and self-hostable.

Build AI agents with no coding background! Using an e-commerce customer service bot as an example, this guide breaks down the setup process for GPTs and Coze.

SiliconLLM builds a CPU-native LLM architecture from scratch, combining selective SSM, ternary (1.58-bit) LUT MLP, and granular MoE, co-designed around the L3 cache bandwidth cliff. Ternary kernels show 4-5x speedup over fp32.

Running self-supervised vision models (SSL) on a MacBook CPU isn't hard. This article reveals the core misconception of PCA visualization through ViT-S experiments: colors can't convey semantics across images, and changing resolution reverses hues entirely.