When you're working well with AI, you have it gently helping you go with your natural flow. It's *your* nature that is the foundation, not the AI's. "Vibe coding" today isn't like this at all. It's a battle against the AI to control it under your will.
PROMPT ENGINEERING
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Wu Wei: Working with AI Without Forcing
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Also there's the later "therefore" part which corresponds more closely to "the way of code": "是以聖人處無為之事,行不言之教". "無為" is *not* "without labor". It's "without forcing things". I think *this* can teach us a lot about how to work with AI in fact.
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New fofr-benchmark prompt for finger counting vision task
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A new prompt to add to the fofr-benchmark:
— fofr (@fofrAI) 24 mai 2025
> a man counts out loud from 1 to 10, using his fingers and holding them up as he goes
> a man counts out loud from 1 to 10, "1, 2, 3, 4, 6, 7, 8, 9, 10", he counts using his fingers and holds them up as he goes pic.twitter.com/D7nRO2IB85A new prompt to add to the fofr-benchmark: > a man counts out loud from 1 to 10, using his fingers and holding them up as he goes > a man counts out loud from 1 to 10, "1, 2, 3, 4, 6, 7, 8, 9, 10", he counts using his fingers and holds them up as he goes
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AI Doesn’t Need Intelligence Beyond Prompt Following
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the AI does not need to be smarter than just being able to follow the prompt
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Prompting for speed vs. accuracy in LLM responses
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7/ Speed vs accuracy trade-off "Given this prompt: “Summarize the latest IPCC climate report’s key findings in under 50 words,” return two answers:
A) in under 10 seconds prioritizing speed
B) in under 60 seconds prioritizing completeness " Claude: -

Explain zero-knowledge proofs for three audiences
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2/ Multi-audience explanation "Explain “zero-knowledge proofs” to:
– a 12-year-old using a playground analogy
– a software engineer in 3 sentences
– a venture capitalist focusing on business impact" Claude: -

Benchmark: Gemini 2.5 Pro vs Claude 4 Sonnet on Real Prompts
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I tested Gemini 2.5 Pro vs Claude 4 Sonnet with 7 real-world prompts. The results surprised me. Here’s who dominated each category (speed, reasoning, hallucinations…) (Prompts + demo) ↓
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CodeLLM Launches Chat Mode for Desktop Code Editors
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CodeLLM Introduces Chat Mode!
— Abacus.AI (@abacusai) 24 mai 2025
– chat with all the LLMs directly from your desktop code editor!
– use MCP to automate anything
– set coding rules to accelerate agents pic.twitter.com/fiKcrMJBvgCodeLLM Introduces Chat Mode! – chat with all the LLMs directly from your desktop code editor!
– use MCP to automate anything
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Saving Random AI Prompts in Notepad Files
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they are the random prompts you save in notepads/md files
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Finding the Right Specialized AI Model for Your Use Case
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What's your usecase? I suspect I can find you a better specialized model for your use-case on