Lobster Trap: The Open-Source Tool That Watches What Your AI Agents Say
Veea releases a sub-millisecond security proxy for AI agents under MIT license as new research shows 88% of organizations have experienced agent security incidents.
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Veea releases a sub-millisecond security proxy for AI agents under MIT license as new research shows 88% of organizations have experienced agent security incidents.
A veteran Google security engineer built a sandbox system that treats AI agents as fundamentally untrusted - and it could be the model for safe agent deployment.
China's MiniMax releases an MIT-licensed model that rivals Claude Opus 4.6 on coding and agentic tasks. The catch: Anthropic accuses MiniMax of stealing Claude's capabilities to build it.
March 2026's open-source AI highlights: Zhipu's GLM-5 rivals GPT-5, OpenAI finally goes open, and the Linux Foundation creates a home for AI agents.
This week's biggest open-source AI developments: Alibaba's efficient new model outperforms its massive predecessor, Mistral releases a 675B frontier model under permissive license, and local inference adoption accelerates
Forget 700B parameter flagships you can't run. Here are the open-weight models that deliver real performance on consumer hardware - with actual benchmarks.
Alibaba's new 35B model matches Claude Sonnet 4.5 on benchmarks while running locally on an RTX 4090. Here's what you need to know.
Ollama delivers 40% faster inference while llama.cpp finds a permanent home at Hugging Face. Two developments that secure the future of running AI on your own hardware.
The popular local inference tool now installs and configures OpenClaw automatically, giving desktop users access to AI agents running Kimi-K2.5 and GLM-5 with a single command.
A Toronto startup is etching LLM weights directly into transistors, achieving 17,000 tokens per second. The catch: you can't change the model.
This week's biggest open-source AI developments: llama.cpp finds a permanent home, China releases a 744B parameter model under MIT license, and a secure WhatsApp AI assistant goes viral
The creators of llama.cpp have joined Hugging Face to ensure long-term sustainability. The projects stay open, the community stays autonomous, and local AI gets resources it needs to compete with cloud inference.
Zhipu AI releases GLM-5 under MIT license, a frontier model rivaling Claude and GPT-5 while proving China can build top-tier AI without NVIDIA hardware.
Forget the marketing - here's how the latest open-weight models actually perform on your GPU, from 8GB budget cards to 24GB workstations.
A tier-by-tier comparison of the top open-weight LLMs you can run locally, from 8GB laptops to 24GB gaming GPUs to Apple Silicon Macs.
Qwen 3.5 offers a 397B MoE flagship and smaller local models under Apache 2.0, but Alibaba's benchmarks need independent testing.
A 3.35B parameter multilingual model outperforms larger competitors on underserved languages - and runs locally on consumer hardware. Privacy-first AI for the rest of the world.
Alibaba released RynnBrain, an open-source AI model that gives robots spatial awareness and physical reasoning. It beats Google and Nvidia on 16 benchmarks while running on just 3 billion active parameters.
OpenScholar matches human expert citation accuracy while GPT-4o fabricates sources 78-90% of the time. The code, models, and 45 million paper corpus are all free to use.
Tiiny AI says its 300-gram Pocket Lab runs 120B models locally. The design is plausible, but performance and privacy claims remain unverified.