I read every major model release. Most of them ship a coding number. The number goes up. The conclusion everyone […]
Category: AI
IBM’s new Granite 4.2 models ride the wave of interest in local LLMs
IBM has rolled out the newest models in its family of open-weight large language models designed to be downloaded and […]
IBM Releases Granite 4.2: Bringing Native Reasoning and Agentic RL to Open Enterprise Models
IBM has released Granite 4.2, a family of open reasoning language models in 3B, 8B, and 30B parameter sizes. Unlike […]
Liquid AI Open-Sources Pipette: A Reproducible Benchmarking Suite That Measures On-Device Models, Quantization, Runtime and Hardware Together
Model cards report quality under server-class, full-precision conditions. Those numbers rarely predict how the same model behaves on a phone. […]
World humanoid robot games show runners breaking records, bursting into flames
Record-breaking robot races are less substantial than household chore challenges. An Honor humanoid robot breaks into pieces as it runs […]
Perplexity Ships Portable Computer on NVIDIA DGX Spark: Local Harness, OS-Enforced Sandbox, and Zero Per-Token Cost for Local Steps
Perplexity has released Portable Computer, a local-first build of its agentic Computer platform that runs the agent harness, orchestrator, planner, […]
Meta AI Introduces MetaRoCE: A Clean-Sheet RDMA Transport Built for AI-Scale Ethernet
Training and serving frontier models is now a networking problem as much as a compute problem. Collective operations like all-reduce […]
AI won’t replace radiologists, but it will dramatically change their jobs
A pioneering AI scientist once predicted computers would replace human radiologists. They haven’t. In 2016 Geoffrey Hinton, the Nobel-winning “godfather […]
Apple’s new desktop computers are designed specifically for local AI development
Many developers have been changing their workflows to incorporate AI coding agents more heavily, thanks to powerful frontier large language […]
Fastino Releases GLiNER2.5: A Boundary-Prediction Architecture That Removes Span Enumeration From Information Extraction
Information extraction teams face a recurring choice. Small encoder models are cheap but rigid, and large language models are flexible […]