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AGENTS

Databricks Agent Bricks Enables Intelligent Agents Across Leading Models

By

@databricks

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05 November 2025 18h08

You can now build intelligent agents with every leading model on Databricks, powered by Agent Bricks.

We know that flexibility fuels innovation, and that every model brings its unique strengths – whether that’s cost, performance or speed. @OpenAI GPT-5 and @Google's Gemini… pic.twitter.com/OXm5wHvoNd
— Databricks (@databricks) 5 novembre 2025

You can now build intelligent agents with every leading model on Databricks, powered by Agent Bricks. We know that flexibility fuels innovation, and that every model brings its unique strengths – whether that’s cost, performance or speed. @OpenAI GPT-5 and @Google
's Gemini

→ View original post on X — @databricks

5 November 2025
Google développe un nouvel agent d’images pour Stitch

By

@testingcatalog

–

05 November 2025 16h29

BREAKING 🚨: Google is working on a new Image Agent for Stitch, likely to be powered by Nano Banana 2.

Integration with AI Studio and potentially with Lovable is coming as well, + a possibility to generate a project brief!

Double bananas 🍌 pic.twitter.com/ouhXyaD64p
— 🚨 AI News | TestingCatalog (@testingcatalog) 5 novembre 2025

BREAKING : Google is working on a new Image Agent for Stitch, likely to be powered by Nano Banana 2. Integration with AI Studio and potentially with Lovable is coming as well, + a possibility to generate a project brief! Double bananas

→ View original post on X — @testingcatalog

5 November 2025
Google’s Space AI, Perplexity Amazon Rivalry, Voice Agents

By

@therundownai

–

05 November 2025 11h30

Top stories in AI today: – Google’s space-based AI data centers
– Perplexity, Amazon spar over AI shopping
– Create voice agents for your business
– Anthropic commits to preserving retired models
– 4 new AI tools, community workflows, and more Read more: https://
therundown.ai/p/googles-ai-s
pace-moonshot
…

→ View original post on X — @therundownai

5 November 2025
Celebrating shift from JSON tool calls to code blobs

By

@aymericroucher

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05 November 2025 7h57

Finally! Congrats, a step in a great direction!
We've been stuck in this local optimum of "writing actions as JSON blobs with individual tool calls in them" for much too long. Just let models write tool calls in code blobs!

→ View original post on X — @aymericroucher

5 November 2025
Rediscovery of CodeAct and smolagents a year later

By

@aymericroucher

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05 November 2025 7h52

I think they're finally going to rediscover CodeAct and smolagents, 1 year later!

→ View original post on X — @aymericroucher

5 November 2025
Telecom Networks Transform Into AI-Powered Intelligent Systems

By

@bernardmarr

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05 November 2025 7h40

6 Critical Telecom Trends In 2026: What Industry Leaders Need To Know #Telecom networks are evolving from passive data conduits into intelligent, self-aware systems powered by #AI agents, #quantumtechnology, and space-based #connectivity as the industry races toward #6G

→ View original post on X — @bernardmarr

5 November 2025
Multi-Agent Neural Cellular Automata Develop Complex Emergent Behaviors

By

@hardmaru

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05 November 2025 1h32

Excited to release our new work: Petri Dish Neural Cellular Automatahttps://t.co/4mWwFOnbYl

We investigate how multi-agent NCAs can develop into artificial life 🦠 exhibiting complex, emergent behaviors like cyclic dynamics, territorial defense, and spontaneous cooperation! https://t.co/Wjp6KkurSQ
— hardmaru (@hardmaru) 5 novembre 2025

Excited to release our new work: Petri Dish Neural Cellular Automata https://
pub.sakana.ai/pdnca We investigate how multi-agent NCAs can develop into artificial life exhibiting complex, emergent behaviors like cyclic dynamics, territorial defense, and spontaneous cooperation!

→ View original post on X — @hardmaru

5 November 2025
Building Efficient AI Agents with Model Context Protocol

By

@anthropicai

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05 November 2025 0h09

New on the Anthropic Engineering blog: tips on how to build more efficient agents that handle more tools while using fewer tokens. Code execution with the Model Context Protocol (MCP):

→ View original post on X — @anthropicai

5 November 2025
Autonomy Requires Embodiment to Seek Problems and Solutions

By

@fchollet

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04 November 2025 23h57

If you want it to be autonomous it should be able to seek new problems to solve (and the means to solve them) on its own, which requires embodiment in some form (not necessarily physical)

→ View original post on X — @fchollet

4 November 2025
Autonomous AI Through Dynamic Model Synthesis and Self-Improving Abstractions

By

@fchollet

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04 November 2025 23h36

The path to autonomous AI is a system that learns to solve new problems by synthesizing models of them on the fly (as code), and that gets smarter over time by adding new abstractions to its own library (also as code), compounding its capabilities. Not a static map — rather, an

→ View original post on X — @fchollet

4 November 2025

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