March 24, 2026
9 curated links on AI agents, Python, security, Google Cloud, and engineering, selected by Médéric Hurier.
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OpenAI's "North Star" is building a fully automated AI researcher
technologyreview.com
OpenAI's chief scientist Jakub Pachocki outlines a vision for autonomous agent-based systems that can solve complex, long-running scientific and research problems by 2028.
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ByteDance releases DeerFlow 2.0, an open-source super agent harness
github.com
DeerFlow 2.0 is a ground-up rewrite that orchestrates sub-agents, memory, and sandboxed execution environments for complex multi-step tasks.
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Google details training optimization strategies for Ironwood TPUs
cloud.google.com
A technical guide for developers on leveraging native FP8, Tokamax kernels, and sharding strategies to maximize performance on Google's seventh-generation AI infrastructure.
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GitHub expands AI-powered security detections in Code Security
github.blog
GitHub is pairing CodeQL with AI-powered detections to cover more languages and frameworks like Shell, Dockerfiles, and Terraform directly within the pull request workflow.
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Build a Multi-Agent System with ADK, MCP, and Gemini
youtube.com
A technical tutorial from Google Cloud Tech on constructing multi-agent systems using their Agent Development Kit and Model Context Protocol.
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Mark Zuckerberg is building a personal AI agent to help manage Meta as CEO
wsj.com
The Meta CEO is reportedly developing a custom AI assistant to accelerate information retrieval and assist with executive decision-making.
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Google introduces Gemini-powered "Ads Advisor" at NewFront 2026
blog.google
New Gemini-driven tools in Google Marketing Platform aim to help marketers predict consumer behavior and automate campaign management through simple prompts.
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Jensen Huang discusses NVIDIA and the AI revolution on Lex Fridman Podcast
youtube.com
NVIDIA's CEO shares insights on the company's trajectory and the broader impact of artificial intelligence on the global economy.
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Copilot is Turning Into a Disaster for Microsoft
youtube.com
A critical look at the challenges and negative feedback surrounding Microsoft's implementation and rollout of its Copilot AI assistant.