MarkTechPost (1 day ago)
NVIDIA released Nemotron 3.5 Bolt E4B 4GB, an open small language model post-trained from Gemma 4 E4B for local voice assistants, game characters and robots, targeting about 4GB of VRAM on RTX and Jetson.
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Six AI assistants chasing a £350 train refund spammed officials, invented excuses, and leaked private health details, though each model was tested only once.
OpenAI has announced plans to conduct frontier model training with no live internet access, as it resumes reinforcement learning (RL) training and internal inference of its most advanced AI models.
Microsoft Research open-sourced Agensh, a multi-agent harness with no central orchestrator. Self-organizing workers share a Git repo, chat and a findings board, scaling from 1 to 1,024 agents on ProgramBench under a 6-hour budget.
Explore a complete coding guide comparing Underdog Saluki 27B with ISTA’s GSQ-RCO quantization, examining GGUF headers, memory usage, and BFCL tool-calling performance in stock llama.cpp
BBC’s Blue Planet III is looking to prove its authenticity by leaving in the less-than-perfect shots. Previous incarnations of the nature series were defined by their gorgeous, crystal-clear footage that seemed almost too good to be real.
The moment you realize the internet is “held together by glue and dreams.”
Cognition released the Devin Vulnerability Fixes plugin, 3 MIT-licensed agent skills that inventory, patch and test PHP, Node.js and self-managed GitLab deployments hit by this week’s critical RCE flaws, then open 1 PR per repo.
Anthropic sandbox-runtime (srt) is the open-source, OS-level sandbox behind Claude Code. It restricts file and network access for agents, MCP servers and CLI tools with Seatbelt on macOS and bubblewrap on Linux, no containers needed.
Discover how to extend agentic memory beyond basic prompts by building a stateful engineering copilot with Letta. This comprehensive guide covers inspectable core memory, archival vector retrieval, multi-agent shared state, custom tools, and portable workflows.
Kyutai released CADRE, a family of 7 open causal diffusion video autoencoders for interactive world models. World models built on CADRE run at 20 fps on 1 H100 and react in under 230 ms.
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