8. Advanced prompt tricks • Parentheses weighting: (highly detailed:1.4) boosts fidelity.
• Negative prompts: “no watermark, no distorted digits.”
• Rhyme schemes for audio: “Up-tempo hip-hop beat, 95 BPM, minor scale,” gets Veo 3’s music generator on point.
LLMS
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Advanced Prompt Engineering Techniques for AI Models
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Anthropic Developing New Research Bundle Integrating MCP Features
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BREAKING : Anthropic is working on combining Research and MCP features into a powerful research bundle. This feature can bring additional context from various range of remote services via MCP connectors into Claude Research tool.
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The Future of Prompt Engineering and Natural Language Interaction
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Absolument pas. Le prompt, c'est juste une fioriture, dont la "technicité" va disparaître de plus en plus au profit d'un langage naturel humain totalement transparent, en laissant la partie prompt engineering (s'il en faut) côté LLMs back.
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Comparative coding performance of Claude 3.5 Opus and Sonnet models
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La différence de niveau de code entre Opus 4 et Sonnet 4 est ahurissante. Quand j’ai plus de quota Opus 4 dans Claude Code, je me retrouve à faire des copier-coller dans le chat browser pour demander à Opus 4 des instructions claires afin de guider le stagiaire qu’est Sonnet 4.
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Formal Arguments Required for Large Model Limitation Claims
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I think that strong claims about the limits of large end-to-end trained models require a formal argument or decisive empirical support, because they go beyond what is scientifically known
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Control-R: Controllable Test-Time Scaling for AI Models
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Control-R: Towards controllable test-time scaling
Paper: https://
arxiv.org/pdf/2506.00189
.pdf
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Reasoning Control Fields Optimize Long Chain-of-Thought in LLMs
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Controlling LLMs' Thinking Effort: Reasoning Control Fields (RCF) for Long CoT This paper tackles underthinking (too shallow) and overthinking (too verbose) in long chain-of-thought (L-CoT) reasoning by introducing Reasoning Control Fields (RCF) — a test-time method that
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Quick comparison: Claude, Gemini, and GPT-4o strengths
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Claude wins on elegance, Gemini wins on outcome. GPT-4o might still be best for structured logic or plug-in workflows, though.
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Cohere and Arc Institute Launch BioReason AI for Disease Prediction
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Cohere and Arc Institute dropped BioReason, a reasoning AI for biology It fuses DNA models (Evo2) & LLMs (Qwen3) and uses step-by-step biological reasoning to predict disease pathways with 97% accuracy
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Sam Altman Warns World Must Prepare for Massive AI Impact
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Sam Altman déclare que le monde doit se préparer collectivement à l’impact massif de l’IA. Il dis: « Il y aura des périodes effrayantes à venir » « OpenAI publie volontairement des modèles imparfaits dès maintenant pour que le monde puisse les voir, s’adapter, et contribuer à