7 E-Commerce Trends That Will Transform Shopping In 2026 #AIagents are poised to become personal #shoppers that browse and buy on behalf of consumers, while virtual #influencers drive #socialcommerce across platforms like TikTok and Instagram. #Retailers must adapt to
AGENTS
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Scaling Agent Learning Through Experience Synthesis
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Scaling Agent Learning via Experience Synthesis Paper: https://
arxiv.org/abs/2511.03773 -
DreamGym: Training LLM Agents Through Synthetic Reasoning
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Can LLM agents learn by dreaming? DreamGym from Meta is a new framework that lets AI agents train via synthetic reasoning-based experiences instead of costly real rollouts. It models environment dynamics, replays and adapts tasks, and even improves sim-to-real transfer.
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ReAct Framework in CrewAI: LLM Problem-Solving with Tools
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ReAct is really popular. Here's an example from CrewAI, which uses ReAct to let LLM think through problems and use tools to act on the world.
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Agentic AI: Human-Machine Collaboration Over Pure Automation
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The real power of agentic AI isn’t in automation.
It’s in collaboration — humans and machines sharing decisions – https://
buff.ly/XOQU7pG #sponsored #cybus_iiot #IndustrialAI @kdnuggets @DeepLearn007 via @fogoros -
Digital Twins and Agentic AI Transform Smart Cities
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🏙️ What happens when cities can see, think, and act?
— NVIDIA AI (@NVIDIAAI) 7 novembre 2025
Digital twins + agentic AI are enabling:
🏗️ Smarter infrastructure planning
⚡ Faster, more informed decision-making
🛣️ Real-time operations for safer, more resilient cities
This is a new model for how urban systems are… pic.twitter.com/OIexHd3NSaWhat happens when cities can see, think, and act? Digital twins + agentic AI are enabling: Smarter infrastructure planning Faster, more informed decision-making Real-time operations for safer, more resilient cities This is a new model for how urban systems are
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Kimi K2 Thinking: Open-Source Reasoning Agent Breakthrough
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Introducing Kimi K2 Thinking — A New Era of Open-Source Thinking Agents! The frontier of autonomous reasoning, intelligent tool use, and scalable cognition has arrived. SOTA Performance: HLE (44.9%) | BrowseComp (60.2%) Handles 200–300 sequential tool calls autonomously
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Comet Browser amélioré avec capacités agentiques
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BREAKING 🚨: Comet browser got a major upgrade for its agentic capabilities.
— 🚨 AI News | TestingCatalog (@testingcatalog) 6 novembre 2025
– It can work longer and on more complex jobs across larger periods of time.
– It performs 23% better than its predecessor.
Longer context was a top request from all the users! Now it can write a… https://t.co/VsTPIoiok4 pic.twitter.com/bJPazyk69fBREAKING : Comet browser got a major upgrade for its agentic capabilities. – It can work longer and on more complex jobs across larger periods of time.
– It performs 23% better than its predecessor. Longer context was a top request from all the users! Now it can write a -
AGIJobs Sovereign Labor v0.1 GitHub Project Launch
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[ AGIJobs Sovereign Labor v0.1 ] GitHub : https://
github.com/MontrealAI/agi
jobs-sovereign-labor-v0p1
… $AGIALPHA #AGIALPHA #AGIJobs -
Building a Typescript Deep Research Agent with DeepAgents
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Building a Typescript deep research agent In this video, we will walk through how to easily build a Typescript deep research agent This builds upon our new DeepAgents library All it involves is some detailed prompting, some search tools, and some specialized sub agents