The problem with classic AIs? They're stuck in a chat window. The 2026 revolution is AI that acts WITHIN your system. To truly delegate, not just do things with AI's help. And for that, this tool is perfect → https://
youtu.be/pt_GoaONb2Y
AGENTS
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The 2026 revolution: AI that acts within your system for true delegation
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20 Must-Try AI Tools for 2025: Complete Stack Guide
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20 must-try AI tools for 2025. This stack covers everything: chat & reasoning image gen video gen voice/music AI search automation AI agents My top 3 right now: ChatGPT, Perplexity, Midjourney. What are yours? #AI #AITools #GenerativeAI #Automation
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Vibe Agent: Create AI Agents in Plain English with Maestro
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Vibe Agent in AI21 Maestro helps you create AI agents from a single plain-English description. It suggests purpose, validation checks, tools, and model/compute settings while explaining each step in real time.
— AI21 Labs (@AI21Labs) 16 décembre 2025
🎥Watch the video and start building with AI21 Maestro:… pic.twitter.com/UOSnkquX6XVibe Agent in AI21 Maestro helps you create AI agents from a single plain-English description. It suggests purpose, validation checks, tools, and model/compute settings while explaining each step in real time. Watch the video and start building with AI21 Maestro:
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NVIDIA Nemotron 3: Agent-Ready AI Model Family Explained
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NVIDIA Nemotron 3 Explained — a quick breakdown of NVIDIA’s new agent-ready AI model family built for reasoning, chat, RAG, and instruction-following.
— Satya Mallick (@LearnOpenCV) 15 décembre 2025
Learn how Mixture-of-Experts (MoE) architecture enables lower latency, lower cost, and scalable deployment, with Nano, Super,… pic.twitter.com/wKLyxMilYJNVIDIA Nemotron 3 Explained — a quick breakdown of NVIDIA’s new agent-ready AI model family built for reasoning, chat, RAG, and instruction-following. Learn how Mixture-of-Experts (MoE) architecture enables lower latency, lower cost, and scalable deployment, with Nano, Super,
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CUGA: Production-Grade Open Agents for Real Workflows
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Introducing CUGA: production-grade open agents for real workflows.
— Groq Inc (@GroqInc) 15 décembre 2025
Groq → real-time speed@huggingface → open models@IBMResearch → enterprise architecture@langflow_ai → builder-friendly tools
No patience required. pic.twitter.com/TLe8310K6mIntroducing CUGA: production-grade open agents for real workflows.
Groq → real-time speed @huggingface → open models @IBMResearch → enterprise architecture @langflow_ai → builder-friendly tools
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Databricks Co-founder Discusses Next-Gen Agent-Native Database Technology
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Databricks co-founder @rxin sat down with Zeb's VP of Data + AI, @thejosuebogran
, to discuss Lakebase and where database technology is heading. “It’s the right time to think about how we can disrupt and build next-generational databases that are cloud native and agent native.” -
Generative AI Tech Stack Framework for Autonomous Agents
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The Generative AI ecosystem is evolving into a full tech stack — powering autonomous AI agents.
From infrastructure and LLMs to RAG pipelines, agent behaviors and orchestration layers, this framework shows the 6 layers driving next-gen AI systems. Credit: @goyalshalini #AI -
Raven v3 AI Agent Capabilities and Conversational Experience
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Raven v3 doesn't pause awkwardly. Doesn't give you three paragraphs when you need a simple answer.
— God of Prompt (@godofprompt) 15 décembre 2025
It sounds like someone who actually gives a shit.
Books your reservation. Processes your payment. Checks your order status. fixes your account.
All while you're talking to it. pic.twitter.com/EokXukc59bRaven v3 doesn't pause awkwardly. Doesn't give you three paragraphs when you need a simple answer. It sounds like someone who actually gives a shit. Books your reservation. Processes your payment. Checks your order status. fixes your account. All while you're talking to it.
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AI agents use virtual browser to extract hard-to-reach web data
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AI now can start a virtual web browser, and your AI agents can use it like a human would, getting data out of the Web that was hard to get to before. https://t.co/FYNYAurd4e
— Robert Scoble (@Scobleizer) 15 décembre 2025AI now can start a virtual web browser, and your AI agents can use it like a human would, getting data out of the Web that was hard to get to before.
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MIT’s DisCIPL: Steering Smaller LMs for Complex Problem-Solving
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LMs can struggle w/open-ended tasks that have constraints, such as advanced puzzles & math proofs. MIT’s "DisCIPL" uses an LLM to steer smaller LMs to collaborate on these prompts. It achieves accuracy & efficiency comparable to much leading models: https://
bit.ly/4rLcYmi