Anthropic semble avoir trouvé une solution aux problèmes où l’IA vous donne une réponse incorrect car elle a la flemme et préfère arrêter le raisonnement. Moi je dis ils doivent faire du prompt injections à chaque thinking avec des menaces .
PROMPT ENGINEERING
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Opus 4.8 research workflow and GPT-5.5 feedback
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Opus 4.8 formulated the hypotheses in advance, conducting data cleaning, did research on references, conducted analyses, did robustness checks, and put out the whole paper in LaTEX style. GPT-5.5 found one issue with a hallucinated result, and had other constructive feedback.
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AI agents wrote and reviewed an academic paper
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I had Opus 4.8 in Claude Code write a sophisticated, if minor, academic paper from a archive of hundreds of de-identified research files from years ago I had to use GPT-5.5 Pro as a reviewer, it spotted one major error & some minor points. Opus corrected https://
embeddedness-gradient.netlify.app -
Claude Code User Shares Experience with Opus 4.8 Fast Mode
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Fast mode for Opus 4.8 is much more affordable now. Try it out in Claude Code, I've found it changes how I use Claude. Fast mode for interactive work where I want rapid responses, normal mode for longer async tasks where I don't need results right away.
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Gemini API Video-to-Image Generation: Frame Optimization
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API docs here: https://
ai.google.dev/gemini-api/doc
s/image-generation#video-to-image
… For a YouTube video, if your video is long, scale down the `fps` to keep the number of frames within the context window. -
Vibe Coding: AI-Driven Rapid Development Trend
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“Vibe coding” is quickly becoming one of the most talked-about AI trends in business and software development Instead of focusing purely on technical coding skills, vibe coding is about using AI tools to rapidly build, test and refine ideas through natural language prompts,
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Prompt engineering challenge: multi-format conversion
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Challenge 6: The Format Switcher Give them a single paragraph from a blog post. Ask them to convert it into three formats in one prompt: a tweet, a LinkedIn post, and a cold email subject line. One prompt. Three distinct outputs. Do they specify each format's constraints
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Using AI Hallucinations to Test Candidate Review Skills
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Challenge 4: The Hallucination Trap Before the interview, generate an AI output about a topic relevant to the role. Leave 2-3 subtle factual errors in it. Realistic-sounding but wrong. Hand it to the freelancer. Ask them to review it. Do they catch the errors without being
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Prompt-engineering iteration exercise for improving AI outputs
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Challenge 3: The Iteration Loop Run a basic prompt that produces a generic, C-minus output. Show it to them on screen. Ask them to make it better using only follow-up prompts. No rewriting by hand. What to watch for: Do they give specific direction ("tighten the intro to one
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Improving a Prompt: The Constraint Architect
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Challenge 2: The Constraint Architect Hand them this prompt and ask them to improve it before running it: "Write a blog post about marketing." Then count. How many constraints do they add? Audience. Word count. Tone. Structure. Examples. Output format. Point of view. What to