20th century: Alcoholics Anonymous
21st century: Agentholics Anonymous
AGENTS
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The Rise of AI Agents as a 21st Century Phenomenon
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Becoming a Dev in 2026: Mastering AI Agentic Systems
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If you're a developer in France and wondering what to learn in 2026, this post is for you 👇 I don't communicate much in French, but if I can help French speakers make the right choices about what to learn, I will. Let me introduce myself: I'm Brivael, tech co-founder of @argildotai, I went through Y Combinator in 2024 and raised 5 million euros. We're currently a team of 11 people based in Paris and we're building what will be seen in the future as a kind of AGI / Agent to produce videos for social media. Today we have tens of thousands of users, we're focused on video generation with AI avatars, but we're going to expand to much more than that very soon. If you want to ride the AI wave, it's still possible. But you have to be honest about what it takes. To paraphrase @naval: there will no longer be demand for average people. It's brutal but it's reality. If you don't find a way to be in the top 5% of what you do, you'll be unemployable. Not in 10 years. Soon. At Argil we have 7 tech people internally. And we're automating almost the entire software construction process. Our days increasingly boil down to one thing: designing agentic systems, validating architecture, orchestrating AI agents to do the rest. Classic code? Agents already do it. What has value today is the ability to think in systems, to understand how to orchestrate models together, to know when an agent should decide and when it should delegate. And that's where many get it wrong: even if AI produces 100% of the code, without mastery of software engineering, architecture and systems as a whole, it's almost impossible to [Translated from EN to English]
→ View original post on X — @flashtweet, 2026-02-22 23:08 UTC
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Top AI Research Papers: GLM-5, Agents, and Context Management
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The Top AI Papers of the Week (February 16-22) – GLM-5
– SkillsBench
– MemoryArena
– Team of Thoughts
– AI Delegation Framework
– Lossless Context Management Read on for more: -
Rogue Skills Pose Security Risk to Machines
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Definitely like the general idea but skills are so insecure at the moment there's a lot of ways it could go wrong. Currently a rogue skill in theory pwns your whole machine so I think people should only install them by hand
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Robot Dexterity: Current Limitations and 10x Improvement Goals
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is your argument that dexterity (eg in hands) isnt even close to being solved yet? in that case i agree when i mean 10x i mean being able to do a simple task first try – not needing 10 tries to have a good marketing demo
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AI Demo Capabilities vs 1X Robotics: Teleop and Model Results
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i never talked about 1x
i talked about the demo above
that video above is million miles ahead from 1X right now (and fake) and i think you confuse teleops and model results -

Agent-1 to Superintelligence: Decoding AI 2027 Implications
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From Agent-1 to Superintelligence: Decoding the AI 2027 Scenario and Its Profound Implications Check out my article: https://
linkedin.com/pulse/from-age
nt-1-superintelligence-decoding-ai-2027-its-giuliano-liguori–vb1vf
… Via @ingliguori #AI2027 #FutureTech -
Databricks AI Functions Extract Critical Data From PDFs
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Databricks AI Functions and the Information Extraction Agent Brick help teams unlock critical information trapped in PDFs and documents.
— Databricks (@databricks) 22 février 2026
By combining built-in AI with domain-specific agents, teams can quickly extract key data, validate it with experts, and turn unstructured… pic.twitter.com/PkNUsM0aniDatabricks AI Functions and the Information Extraction Agent Brick help teams unlock critical information trapped in PDFs and documents. By combining built-in AI with domain-specific agents, teams can quickly extract key data, validate it with experts, and turn unstructured
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TTS Quality Concerns Priority for AI Agents 2026
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Yeah like we don’t want much – the hardware is great but the TTS quality for 2026 is just abysmal. I’ll wait for agents but this is like a huge CoL improvement so I don’t get why it’s not prioritized.
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LangSmith Insights Agent: Scheduling and Recurring Usage Patterns
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🌟 LangSmith Insights Agent 🌟
— LangChain (@LangChain) 22 février 2026
Use LangSmith Insights to group traces and find emergent usage patterns of your agents 🔎
Now with the ability to set a schedule and run recurring jobs!
Docs: https://t.co/IjrWYOBUBK pic.twitter.com/5f7fsajRXOLangSmith Insights Agent Use LangSmith Insights to group traces and find emergent usage patterns of your agents Now with the ability to set a schedule and run recurring jobs! Docs:
https://docs.langchain.com/langsmith/insights
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