Engineering
J-Space: Yet Another LLM Mind Reader?
J-Space introduces the Jacobian lens (J-lens), a mechanistic interpretability technique that identifies verbalizable concepts within language model activations. The method…
Engineering
Putting DoctoBERT to Work: A Practical Guide
A practical guide demonstrates fine-tuning DoctoBERT, a French medical language encoder pretrained on the FineMed corpus, across three clinical natural…
Engineering
Deploy GLM-5.2-FP8 as Your Open, Frontier-Level Agent
A guide walks through deploying GLM-5.2-FP8, an open-source frontier-level language model, on a Dell PowerEdge XE9680 server equipped with eight…
Engineering
Giving AI Agents 3D Bodies, Real Jobs, and Wallets on three.ws
Three.ws is a platform that gives AI agents 3D animated bodies, on-chain wallets, and access to paid API tools. It…
Engineering
Verifying Rust Cryptography in SymCrypt, from Standards to Code
Microsoft researchers describe a methodology for formally verifying cryptographic code written in Rust using the Lean proof assistant together with…
Engineering
Flint: A Visualization Language for the AI Era
Flint is an intermediate visualization language that compiles compact, semantic chart specifications into complete configurations for rendering backends including Vega-Lite,…
Engineering
Aurora 1.5: Extending Open Foundation Models for Weather and Earth-System Applications
Aurora 1.5 extends Microsoft’s Earth-system foundation model by expanding its variable coverage from four to twenty-six atmospheric fields, spanning surface,…
Engineering
VKUE: No GPU? Runs Anyway — a 34.7B Reasoner on a Laptop and on Bare CPU
VIDRAFT’s VKUE engine runs a 34.7B-parameter sparse Mixture-of-Experts reasoning model (about 3B active parameters per token) from a single quantized…
Engineering
Programmatic Tool Calling for Agents
The article argues that durable agent reliability comes from workflow design rather than raw model capability gains like GPT-5.6, describing…
Engineering
How to Design an OpenHarness-Style Agent Runtime with Tools, Memory, Permissions, Skills, and Multi-Agent Coordination
This hands-on tutorial builds an OpenHarness-style agent runtime from scratch, reconstructing core building blocks including tool execution, permission governance, lifecycle…
Engineering
Getting Started with Loops
The Claude Code team defines four categories of agentic loops distinguished by their trigger and stop conditions: turn-based loops with…
Engineering
Data for Agents
NVIDIA released open datasets and tools for agentic AI development, arguing that real-world agent tasks do not behave like static…