Introducing Agents API: your go-to tool for building tailored agents to solve complex real-world problems! https://
mistral.ai/news/agents-api
AGENTS
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Mistral Introduces Agents API for Complex Problem-Solving
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Satya Nadella: Apps Will Be Replaced by AI Agents
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Vos applications seront bientôt obsolètes. Mon avis ? Il a 100 % raison. On passe d’un monde d'apps à un monde d’IA qui agit pour nous, en langage naturel, sans interface. Dans 2-3 ans, ouvrir une app manuellement semblera archaïque Traduction : Satya Nadella, PDG de
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AI-Researcher: Autonomous Scientific Innovation System
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AI-Researcher: Autonomous Scientific Innovation
Paper: https://
arxiv.org/pdf/2505.18705
.pdf
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Code: https://
github.com/HKUDS/AI-Resea
rcher
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AI-Researcher: Autonomous System for Scientific Discovery Pipeline
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AI-Researcher: Autonomous Scientific Innovation This paper, from HKU, introduces AI-Researcher, a fully autonomous system that runs the entire research pipeline—yes, from reading papers to writing them. It's the clearest step yet toward AI-led scientific discovery.
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Multi-Agent AI DAO: Pioneering Autonomy Rights Since 2017
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[ "Multi-Agent AI DAO" ] The "Multi-Agent AI DAO" Prior Art—pioneered by http://
MONTREAL.AI in 2017—forever enshrined every AI agent’s right to autonomy. Watch the Proof: https://
youtu.be/Y4_6aZbVlo4?si
=qE7ylO9_53XVhgmk
… Historical Comparables to the 2017 -
Jensen Huang on Humanoid Robotics Scalability and Three AI Systems
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🇫🇷 Traduit : Jensen Huang annonce le futur de la robotique.
— VISION IA (@vision_ia) 26 mai 2025
La robotique humanoïde ne marchera pas parce qu’elle est pratique. Elle marchera parce qu’elle est scalable.
3 IA pour la faire tourner :
– une pour apprendre
– une pour simuler
– une pour exécuter
Le monde se… pic.twitter.com/LfseYaGyEMTraduit : Jensen Huang annonce le futur de la robotique. La robotique humanoïde ne marchera pas parce qu’elle est pratique. Elle marchera parce qu’elle est scalable. 3 IA pour la faire tourner :
– une pour apprendre
– une pour simuler
– une pour exécuter Le monde se -
Agent traces better than CoT for distilling reasoning
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TIL: When distilling reasoning capability from a teacher LLM to a smaller LLM, you should use Agent traces instead of CoT traces. Advantages are:
1. Increased generalization
Intuitively, this is because your agent can encounter more "surprising" results by interacting with its -
LLM Agency and Reward Optimization: External vs Internal Motivation
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One more question @balazskegl
: if the LLM was trained to optimise a reward, then it could be argued that it has agency. This is what happens in LLM post training. I guess the counter argument would be that such rewards are external. Yet, the Schrodinger argument is that the -
Do LLMs possess intrinsic intentional stance like humans
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So I guess my question is: Is your position that humans had an intrinsic intentional stance but that LLMs don't?
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Building Lumesys Energy Tech and Veratin Cybersecurity AI Agent
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Thank you so much Adam! Having arguably one of the most difficult days…building Lumesys, energy tech. And working on the conceptualization of Veratin (Cyber security) AI agent.