Ah ben ca c'est la même question avec les couts des API finalement. Mais pas beosin d'intégrer 10 000 MCP. Moi sur mes projets j'ai jamais eu besoin de plus de 3…. pour l'instant. Il vaut mieux diviser en cas d'usages / composants métiers. Que imaginer faire un super truc
LLMS
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User inquiry regarding the adoption and usage of MCP
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Vous utilisez des MCP ? 🙂 Dites moi en commentaires . (surtout si vous en utilisez pas je suis curieux de savoir pourquoi)
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Understanding and Developing for the Model Context Protocol
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Je pense que beaucoup de personnes ne comprennent pas la vraie valeur d’un MCP pour l'IA. Je vous explique en 35 secondes ce que c'est, et comment dev votre serveur MCP aujourd'hui. Déjà, ce n’est pas une mode : le protocole est là pour durer. (J'ai été le premier à me dire
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Meta Hires OpenAI Researchers; New AI Models and Tools Launch
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Top stories in AI today: – Meta scores four more OpenAI researchers
– Chinese giants drop new reasoner, image models
– How to build AI agents with internet access
– Claude becomes world's worst shopkeeper
– 4 new AI tools & 4 job opportunities Read more: https://
therundown.ai/p/zucks-ai-sec
ret-list
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Grok 4 Coming After July 4 With Unmatched Intelligence
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Elon Musk posted on X that Grok 4 is planned for ‘'just after July 4"
— Rowan Cheung (@rowancheung) 30 juin 2025
xAI engineer Tim Li said the intelligence of the new model (previously dubbed Grok 3.5) will be “unmatched”.
Musk previously said it will reason from first principlespic.twitter.com/7dR9hSCuxVElon Musk posted on X that Grok 4 is planned for ‘'just after July 4" xAI engineer Tim Li said the intelligence of the new model (previously dubbed Grok 3.5) will be “unmatched”. Musk previously said it will reason from first principles
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Tencent Releases Hunyuan-A13B Open-Source Reasoning Model
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Tencent released Hunyuan-A13B, a new open-source hybrid reasoning model It nears or matches models like o1 and DeepSeek R1 on major benchmarks, while remaining efficient enough to run on a single GPU Also includes "fast and slow" modes to adjust efficiency levels
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MMaDA: Multimodal Large Diffusion Language Models
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MMaDA: Multimodal Large Diffusion Language Models Yang et al.: https://
arxiv.org/abs/2505.15809 #ArtificialIntelligence #DeepLearning #MachineLearning -
Building AI Solutions for Tomorrow’s Cost-Performance Curve
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Many firms built around the limitations & cost assumptions of GPT-3.5 class models, and are now stuck with complex solutions that are more expensive & worse than a reasoner without any scaffolding You need to build solutions with an eye towards riding the cost/performance curve.
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LLM Value Shift Toward Async-First Architecture and Deployment
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I expect this trend will continue to accelerate, most of the value of LLMs will move to be async first.
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Reasoning Models Drive Product Architecture Redesign Wave
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As the era of reasoning models continues to accelerate, I’ve talked to more and more companies rewriting their core product to take advantage of the increase in intelligence. They are ripping out LLM 1.0 scaffolding and building a totally new user experience.