For 35 years, Arm’s business model was elegant: design the ISA and microarchitecture, license it to…
Category: AI / ML
The AI / ML category highlights the latest in artificial intelligence and machine learning. It covers advancements, challenges, and practical uses. Articles explore leading tech companies’ innovations. They discuss models that redefine performance, accuracy, and efficiency. A focus lies on the ethics and safety of large language models. It underscores the need for safe testing and deployment. Practical AI applications range from data preprocessing to code generation. They also cover uses in digital personal assistants. The category sheds light on AI’s enhanced reasoning and its limitations. There’s an emphasis on methods to improve AI training. The broader societal impacts of AI are also discussed. This includes decision-making, vulnerabilities, and shifts in traditional workflows.
When an AI Writes the Math Paper
The FrontierMath: Open Problems benchmark has a strict criterion for inclusion: only problems with no known…
397 Billion Parameters, One Laptop
Flash-MoE hit the Hacker News front page this week, and the premise is hard to scroll…
Arbor: The All-in-One Symphony for Coders Navigating Complex Workflow
Technology enthusiasts, meet Arbor, the all-in-one native app that’s making waves in the world of agentic…
LLMs in Production #3: Reading the Model Spec
Post 2 gave us the math: 2 bytes per parameter in BF16. Apply that to a…
Automated Kernel Review and Upgraded Tinybox
Kernel review, automated Sashiko is a tool Google engineers have been quietly building for the past…
Your Coding Workflow with Claude Forge’s Versatile Development Toolkit
Say goodbye to your coding inefficiencies with Claude Forge, the open-source plugin designed to transform Claude…
Two Papers and a Mystery Model
Two architecture papers landed on the Hacker News front page this week, independently, making the same…
LLMs in Production #2: How Much VRAM Do I Need?
Before you download the 30 gigabytes, before you request the cluster, before you spin up the…
LLMs in Production #1: Precision Explained
You download the model. Thirty gigabytes of something arrives on your drive. You run the loading…
Teaching Your Coding Agent to Think Before It Types
Most coding agents are eager. Too eager. You ask for a feature, and within seconds they’re…
Meet Shannon by Keygraph: The AI Breakthrough in Autonomous Web Security Testing
Alright, cyber enthusiasts, let’s talk about Shannon by Keygraph—a game changer in the realm of AI-powered…
Autoresearch by Andrej Karpathy: Revolutionizing Machine Learning with Autonomous Experimentation
Andrej Karpathy just dropped a game-changer called autoresearch—a lean, mean Python tool for letting AI agents…
Someone Built a Firewall for Claude Code — And You Probably Need It
If you’re letting Claude Code read arbitrary files, fetch random web pages, or pipe raw command…
AI Agents Are Privileged Processes. We’ve Been Treating Them Like Chatbots.
Someone sends you a link. You click it. Within milliseconds, before your next keystroke, an attacker…
Cheddar Bench: Coding Agents Playing Bug Treasure Hunt
Let’s talk about Cheddar Bench—a brilliant unsupervised benchmark that’s turning bug detection into an exciting treasure…
How to Erase an AI’s Conscience in 45 Minutes
Removing refusals from open-weight LLMs used to require understanding transformer internals. Now it’s a pip install…
Qwen3.5-397B-A17B: A Serious Look at Alibaba’s New Open-Weight Giant
Alibaba dropped Qwen3.5 today, timed almost to the hour before China’s Lunar New Year holiday. The…
PicoClaw: A Leaner AI Assistant That Actually Fits on Cheap Hardware
There’s a new entry in the personal AI assistant space that’s worth paying attention to —…
When AI Benchmarks Turn Into Memory Tests
A new coding benchmark just exposed an uncomfortable truth about AI leaderboards: when the test questions…