Open-Weight LLM Showdown: RTX 5090 Finally Delivers, But You Can't Buy One
Two weeks after our last roundup, the 5090 benchmarks are in and Qwen 3.5 Small models are running on phones. Here's the real performance picture.
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Two weeks after our last roundup, the 5090 benchmarks are in and Qwen 3.5 Small models are running on phones. Here's the real performance picture.
The new MacBook Pro with M5 Max can run large language models entirely on-device, keeping your AI interactions private and offline
Alibaba's new 0.8B to 9B parameter models deliver GPT-class multimodal performance on consumer hardware, with the 9B variant outperforming models 13 times its size
This week's open-source highlights: AI2's hybrid architecture proves transformers need help, autoresearch automates ML experiments overnight, and local inference gets serious upgrades.
Nvidia open-sources a 30B-parameter reasoning model that runs on consumer GPUs with a million-token context window. Here's what makes it different.
AI2 and Lambda trained a hybrid transformer-RNN model that's twice as data-efficient as pure transformers. But can you actually run it locally?
Chinese AI startup MiniMax has released M2.5, an open-weights model matching Claude Opus performance for coding and agentic tasks while costing 95% less to run
GLM-5, Qwen 3.5, DeepSeek V3.2, and MiniMax M2.5 are rewriting the rules. Here's what they actually deliver on consumer hardware.
Ollama's new OpenClaw integration lets you run AI agents locally through WhatsApp, Telegram, or Slack. Here's how it works, what you need, and the security risks nobody mentions.
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.