I’m sure either can do “Draw an owl” style diagrams, but what I mean is a model trained to generate images privately for reasons other than showing them to the user, e.g. to improve spatial reasoning answers
LLMS
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Commentary on AI capability frontier and maze generation
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No, they aren’t very good, and they aren’t reliably right either. But the quoted post I’m responding to says, “It absolutely cannot generate valid mazes.” I don’t mean this to be useful, I mean it to show the difficulty of knowing the shape of the true capability frontier
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MCP Protocol: What It Is and Why It Matters
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more from @addyosmani senpai https://
addyo.substack.com/p/mcp-what-it-
is-and-why-it-matters
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Gemini 2.5 Outperforms Sonnet for Complex Coding Solutions
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Gemini 2.5 got me past some coding roadblocks that Sonnet was really struggling with.
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Gemini 2.5 transforms daily life with advanced AI capabilities
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life these days courtesy Gemini 2.5
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Claude’s Multi-Agent Research Mode Coming Soon
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BREAKING : Claude may get a multi-agent Research Mode with memory and task delegation soon. "Compass" will be able to utilise a various number of tools, including "create_subagent" and "memory"
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SG Models on Hugging Face Deliver Superior Outputs
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strange, SG on HF seems to be giving me better outputs. Let me try!
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RAG and LangChain relevance for updated guide
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I’d guess most of the content I was referring to (RAG, the grab-bag of things LangChain implemented early on) isn’t widely useful now but the guide might still be good where it’s updated
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User replaces Siri with Grok AI assistant, awaits Apple update
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Le libéralisme, ça marche. Le problème, c'est l'Etat.
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Improving prompts and AI topic categorization
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I think you’re right that’s probably important for this prompt working but with one more step you can make it work for paths harder to generate top-to-bottom: