Huge! Great to see further adoption of MCP
GENERATIVE AI
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Sam Altman Uses ChatGPT to Raise His Newborn Child
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Sam Altman vient de faire un bébé avec son mari
— Docteur Laurent Alexandre (@dr_l_alexandre) 10 décembre 2025
Et il explique qu’il se sert de ChatGPT pour éduquer et gérer son bébé
Plusieurs de mes amis m’ont expliqué qu’ils faisaient pareil
Vous aussi vous utilisez ChatGPT ou Gemini pour élever vos enfants ?
pic.twitter.com/wRkehRe3G7Sam Altman vient de faire un bébé avec son mari Et il explique qu’il se sert de ChatGPT pour éduquer et gérer son bébé Plusieurs de mes amis m’ont expliqué qu’ils faisaient pareil Vous aussi vous utilisez ChatGPT ou Gemini pour élever vos enfants ?
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Adobe integrates Photoshop, Acrobat, Express into ChatGPT App
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WHAT! Adobe is now a ChatGPT App!
— AI Breakfast (@AiBreakfast) 10 décembre 2025
Photoshop, Acrobat, Express is natively accessible through ChatGPT! This is Huge! pic.twitter.com/ZcH5MkeHM8WHAT! Adobe is now a ChatGPT App! Photoshop, Acrobat, Express is natively accessible through ChatGPT! This is Huge!
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AI21 Labs Partners with FNAC Darty for Retail AI Solutions
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@GroupeFnacDarty selects @AI21Labs as a strategic AI partner to tackle retail’s most complex challenges, starting with after-sales service, powered by AI21 Maestro, our AI orchestration platform. @AI21Labs works with FNAC to build an after sales support AI assistant to help
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Microsoft Cancer AI, Mistral Coding Tools, Agent Standards
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Top stories in AI today: – Microsoft's cancer-mapping AI
– Mistral’s Devstral and new coding assistant
– Create a brand kit with Nano Banana Pro
– AI giants to build open agent standards
– 4 new AI tools, community workflows, and more Read more: https://
therundown.ai/p/microsofts-c
ancer-mapping-ai
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AI21Labs Ranked #3 in Foundation Model Transparency Accountability
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Thank you to @StanfordCRFM for driving accountability and transparency across foundation model development. We're proud to see @AI21Labs ranked #3 and remain committed to this important work.
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Structured Prompting Improves AI Outputs
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Here's why these work: The pattern: these techniques all add structure AROUND the generation step. Bad prompting: "Do the thing" Engineer prompting: "Plan how you'll do the thing, do the thing, verify the thing" Models are prediction engines. Give them a better scaffold and
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Specification-Driven Generation Technique
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Technique 5: Specification-Driven Generation Engineers write a spec first, get model agreement, THEN generate. This separates "what to build" from "how to build it" and catches misalignment early. Template: First, write a specification for [task] including:
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Technique 4: Differential Prompting
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Technique 4: Differential Prompting
— God of Prompt (@godofprompt) 10 décembre 2025
Engineers don't ask for one output. They ask for two versions optimized for different criteria, then pick or merge. This exploits the model's ability to hold multiple solution strategies.
Template:
Generate two versions of [output]:
Version… pic.twitter.com/yHkRJkECqf— Technique 4: Differential Prompting Engineers don’t ask for a single output. Instead, they request two versions optimized for different criteria, then select or merge them. This approach leverages the model’s ability to explore multiple solution strategies. Template: Generate two versions of [output]: Version 1:
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[Content optimized for criterion A] Version 2:
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Metacognitive Scaffolding for Error Prevention
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Technique 3: Metacognitive Scaffolding Instead of asking for an answer, engineers ask the model to explain its reasoning process BEFORE generating. This catches logical errors at the planning stage. Template: Before you [generate output], first:
1. List 3 assumptions you're