LLMs don’t know how to design software that uses LLMs. They’re comfortable writing normal programs, but if you throw an AI-shaped problem at them, they will…
Source: https://seangoedecke.com/llms-are-terrible-at-designing-ai-systems. 8 Sync News only summarizes and links out; content copyright belongs to the authors and original sources.
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I love Claude Code, but I use it so much that I regularly exhaust my weekly quota before the week ends. When that happens, I usually switch to other free-tier CLIs, e.g., Google Antigravity, GitHub Copilot, and, just last week, Mistral’s Vibe. I really wanted to try Vibe to evaluate the feasibility of moving away from Claude Code in favor of a more sovereign solution. Vibe only offers a single model by default, Mistral Medium 3.5.
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Large language models remain far less efficient than biological brains at learning, representing knowledge, and planning, the post argues. A child hears roughly one token per second, reaching a billion tokens only after 31 years, while GPT-4-class models reportedly use four orders of magnitude more data. The Phi model series, trained on 10 trillion tokens, still trails GPT-4 along most axes. A Portia spider plans prey-catching behavior with a brain a million times smaller than a human's, and squirrels recall cached food after months, suggesting that existing models may be far less representationally and memory efficient.
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Rune: Native UI framework. Contribute to anomalyco/rune development by creating an account on GitHub.
Compares MCP-capable NL2SQL tools by their question-versus-SQL contracts, security boundaries, authentication, and authorization for database access.
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