…However, there's a lot that now matters when you're using an AI tool to code beyond just how smart the underlying model is. For starters, reliability, availability, and cost matter…
…Even if setup was smooth, Open WebUI’s artifacts depend on the model responding in exactly the right format to trigger the render panel, and a general-purpose local model like 3…
…longer tasks are harder for models to complete. With each successive model generation, however, this decline has become shallower as models succeed on increasingly long tasks. METR operationalizes task horizon primarily as…
…tokens D 1 million tokens Correct! Claude 3 models support a context window of up to 200,000 tokens, one of the largest available in any commercial AI assistant. Claude Projects takes…
…The paper discussed here is available on arXiv . Related content Natural Language Autoencoders: Turning Claude’s thoughts into text AI models like Claude talk in words but think in numbers. In this…
…a question, and extract the answer. If you have a multi-step project, you have to micromanage the AI through a dozen prompts. Claude Cowork shatters that model. It is available right…
…to tools that aren't available in the official directory yet. Claude lets you do this through something called a remote MCP server. MCP stands for Model Context Protocol, a universal standard…
…LLMs have gotten exponentially smarter, the number of tools we have access to has exploded, and the way these models can interact with our systems has fundamentally shifted. That’s exactly why…
…You can test yourself on whatever subject you please by feeding the model your specific course content. Oftentimes, I've used this feature to generate highly specific "niche" quizzes for myself that…
…I ran every model once on the same task with the same prompt, though Qwen3-Coder-Next had Context7 available for documentation lookups to better reflect how people actually use local coding…