https://ift.tt/dP2w59N Large language models often receive more information than they need. A prompt may include long instructions, retriev...

https://ift.tt/UBmOGMX On July 21, 2026, while everyone was still waiting on the much-delayed Gemini 3.5 Pro, Google slipped out a mid-cycl...

https://ift.tt/aAmwzEb This scene is playing out across engineering teams everywhere. Someone wraps a few LangChain calls inside a loop, ad...

https://ift.tt/eZgWbXh Thinking Machines Lab has unveiled Inkling, its first general-purpose open-weights foundation model. It is a multimo...

https://ift.tt/JxGHIlC If you’ve spent any time on GitHub Trending this month, you’ve probably noticed a pattern: it isn’t research papers ...

https://ift.tt/OYWeXTM Connecting MCP servers to Claude allows it to work with external tools, files, databases, repositories, and other sy...

https://ift.tt/pXdRvr5 GPT-5.6 Sol and Claude Fable 5 are currently fighting for the frontier-model crown. Fable 5 holds a slight edge in g...

https://ift.tt/yKRsknw THE GIST ▸ What it is: A 3,826-line system prompt steering Claude Fable 5 inside the Claude app, pulled from a publi...

https://ift.tt/yKRsknw Prompts shape every interaction with a large language model. Clear instructions produce focused, useful responses, w...

https://ift.tt/GHaSRNM Two short clips. One question: how alike do they look? Sounds trivial, it isn’t, and I learned that the slow way.  M...