Agentic AI = systems, not models • Intelligence (LLMs)
• Memory
• Tools
• Feedback loops That’s how AI moves from thinking → to doing Via Giuliano Liguori (
@ingliguori
) #AI #AIAgents #AgenticAI
AI
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Core components of agentic AI: from thinking to doing
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The case for open and local AI in personal health data analysis
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The future of biology shouldn’t stay behind black-box APIs. Especially when it touches personal health. Whether you’re @bryan_johnson measuring every biomarker, or @sytses openly sharing and analyzing his own immune-genetics data, you need open, local, transparent AI.
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Leaked Meta Audio Reveals Employees Used to Train AI Models
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Holy: Leaked audio from a Meta all-hands on April 30:
— Chubby♨️ (@kimmonismus) 20 mai 2026
Zuckerberg told employees the company is using them to train AI models before mass layoffs hit.
His argument? Meta's engineers are smarter than any external workforce, so having them solve coding tasks internally will make… https://t.co/XCJy8pv8LU pic.twitter.com/XHqBRqzfsnHoly: Leaked audio from a Meta all-hands on April 30: Zuckerberg told employees the company is using them to train AI models before mass layoffs hit. His argument? Meta's engineers are smarter than any external workforce, so having them solve coding tasks internally will make
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Shanghai AI Lab releases SU-01 30B model with advanced reasoning capabilities
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A 30B model just hit gold-medal scores at the world's hardest math contest. Olympiad math and physics are the hardest reasoning tests around. Most gold-medal scores come from massive specialized systems built for one subject. Shanghai AI Lab just released SU-01, a 30B open
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Closing the industrial data gap for AI operations
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Most industrial AI data was scraped from the internet, not from boats, cars, or plants actually running. That context gap is exactly what MQTT-based platforms like Coreflux are racing to close before AI can act on real operational data. #coreflux_ai pic.twitter.com/6FdXX05yZB
— Lucian Fogoros (@fogoros) 20 mai 2026Most industrial AI data was scraped from the internet, not from boats, cars, or plants actually running. That context gap is exactly what MQTT-based platforms like Coreflux are racing to close before AI can act on real operational data. #coreflux_ai
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The Evolving Role of Developers in the Age of AI Agents
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Developers don't get paid just for coding! If your only skill is writing code, an agent can do that for $20 a month. And it will only get cheaper from here. Who gets paid now is the developer who knows what to build, what to skip, and what to fix when an agent silently gets
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The shift from static AI research to interactive active learning
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IMO deep research has been ~dead since o3 and interactivity was always more impt for active learning and eliciting intention thoughtless prompt -> long ass report nobody reads is inferior to
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Critique of AI Development and Integrity
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two trillion dollars to build “pathologically dishonest” AI
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New Research Survey: Code as a Fundamental Medium for AI Agents
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code as agent harness. a 102-page survey from Stanford, Meta, and UIUC on agent harnesses. the paper argues that code is no longer just the thing agents produce. it’s the medium through which they reason, act, and represent their environment. it calls this “code as agent
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AI-enabled autonomous robot at PGA Championship
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The PGA Championship also showed what connected operations looks like when the network can support it. An AI-enabled, autonomous robot.
Autonomous. real-time. Operating across a live event environment. This is not a demo problem.
It’s an operations problem.