In what was a relatively tame week of AI product announcements and updates, Episode 152 covered a lot of ground on some important and mind-expanding topics. Mike and I explore the impact and risks of new ChatGPT Connectors, consider the increasing urgency of understanding AI +
AGENTS
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Manus AI Agent Integrates Google’s Veo 3 for Enhanced Video Generation
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Manus, the AI agent taking on Operator, just integrated Google's Veo 3 model
— Rowan Cheung (@rowancheung) 10 juin 2025
The move enhances Manus' agentic video generation, allowing users to enjoy "extra visual finesse" when creating cinematic content
Available to Basic, Plus, and Pro userspic.twitter.com/oh3vp647uEManus, the AI agent taking on Operator, just integrated Google's Veo 3 model The move enhances Manus' agentic video generation, allowing users to enjoy "extra visual finesse" when creating cinematic content Available to Basic, Plus, and Pro users
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AI agents now scan Gmail attachments to rank job applications
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AI Agents are getting more and more permissions – they can now go through your email attachments. This video is showing off @genspark_ai 's AI Secretary connecting to Gmail, scanning 49 job applications, reading every email and attachment, analyzing all the resumes, ranking the
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Customer Control and AI Model Deployment Decisions
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I'm just a customer. I have no way to influence how these models are served to me.
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Developer writes code in Vim, rejecting AI coding tools
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I saw a dev working today. No @cursor_ai No @windsurf_ai No @FactoryAI No Devin Just sat there writing coding from scratch in Vim.
Like a psychopath. -
Darwin Gödel Machine: Novelty and Implications Commentary
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Darwin Gödel Machine: A Commentary on Novelty and Implications, from @AntoMon https://
antomon.github.io/posts/darwin-g
odel-machine/
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DeepMind’s automated research agents discussed by SR Schmidgall
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Excited to have @SRSchmidgall from DeepMind discussing his work this Friday on automated research agents. Shoutout to @IntologyAI for making this happen! https://
x.com/IntologyAI/sta
/IntologyAI/status/1932144619015586183
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Pseudo-Simulation: New Autonomous Driving Evaluation Paradigm
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Pseudo-Simulation for Autonomous Driving Pseudo-simulation is a new evaluation paradigm for autonomous vehicles that blends the realism of real-world data with the generalization power of simulation, enabling robust, scalable testing without the need for interactive
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General agents require world models for reliable task completion
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General agents need world models This paper proves that any general agent capable of reliably completing diverse, goal-directed tasks must implicitly learn a predictive model of its environment—challenging the notion that model-free learning is sufficient for general
