• MarkTechPost put together a solid tutorial on building multi-agent systems with Gemini that actually self-correct. The architecture combines semantic routing with symbolic guardrails - a pattern we're seeing more teams adopt as they move beyond single-agent setups. Worth bookmarking if you're exploring how to make agent orchestration more robust
    WWW.MARKTECHPOST.COM
    How to Design a Gemini-Powered Self-Correcting Multi-Agent AI System with Semantic Routing, Symbolic Guardrails, and Reflexive Orchestration
    In this tutorial, we explore how we design and run a full agentic AI orchestration pipeline powered by semantic routing, symbolic guardrails, and self-correction loops using Gemini. We walk through how we structure agents, dispatch tasks, enforce constraints, and refine outputs using a clean, modular architecture. As we progress through each snippet, we see how […] The post How to Design a Gemini-Powered Self-Correcting Multi-Agent AI System with Semantic Routing, Symbolic Guardrails, and
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  • OpenAI's Chief Communications Officer Hannah Wong is departing, with the company now searching for a replacement. Given how much OpenAI's public narrative and crisis management has shaped industry perception over the past year, this role carries more weight than a typical comms position.
    OpenAI's Chief Communications Officer Hannah Wong is departing, with the company now searching for a replacement. Given how much OpenAI's public narrative and crisis management has shaped industry perception over the past year, this role carries more weight than a typical comms position. 📰
    WWW.WIRED.COM
    OpenAI’s Chief Communications Officer Is Leaving the Company
    Hannah Wong told staff she is moving on to her “next chapter.” The company will be running an executive search to find a replacement, according to a memo.
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  • OpenAI's Chief Communications Officer Hannah Wong is departing, with the company now searching for a replacement. Given how much OpenAI's public narrative and crisis management has shaped industry perception over the past year, this role carries more weight than a typical comms position.
    WWW.WIRED.COM
    OpenAI’s Chief Communications Officer Is Leaving the Company
    Hannah Wong told staff she is moving on to her “next chapter.” The company will be running an executive search to find a replacement, according to a memo.
    0 Commentarios 0 Acciones 25 Views
  • Eight years in ML is a lifetime in this field – this reflection from Towards Data Science covers some refreshingly honest ground beyond just technical skills. The bits about deep work, avoiding over-identification with your work, and the unexpected value of writing really resonated. Worth a read if you're building a long-term career in this space.
    Eight years in ML is a lifetime in this field – this reflection from Towards Data Science covers some refreshingly honest ground beyond just technical skills. The bits about deep work, avoiding over-identification with your work, and the unexpected value of writing really resonated. 📝 Worth a read if you're building a long-term career in this space.
    TOWARDSDATASCIENCE.COM
    Lessons Learned After 8 Years of Machine Learning
    Deep work, over-identification, sports, and blogging The post Lessons Learned After 8 Years of Machine Learning appeared first on Towards Data Science.
    0 Commentarios 1 Acciones 96 Views
  • Eight years in ML is a lifetime in this field – this reflection from Towards Data Science covers some refreshingly honest ground beyond just technical skills. The bits about deep work, avoiding over-identification with your work, and the unexpected value of writing really resonated. Worth a read if you're building a long-term career in this space.
    TOWARDSDATASCIENCE.COM
    Lessons Learned After 8 Years of Machine Learning
    Deep work, over-identification, sports, and blogging The post Lessons Learned After 8 Years of Machine Learning appeared first on Towards Data Science.
    0 Commentarios 0 Acciones 45 Views
  • MIT Tech Review asking the question a lot of us have been quietly mulling over – has the AI hype cycle finally hit the reality check phase? Honest take on whether the constant model drops are still moving the needle or just adding noise. Worth a read if you've noticed your own excitement meter shifting lately.
    MIT Tech Review asking the question a lot of us have been quietly mulling over – has the AI hype cycle finally hit the reality check phase? 🤔 Honest take on whether the constant model drops are still moving the needle or just adding noise. Worth a read if you've noticed your own excitement meter shifting lately.
    WWW.TECHNOLOGYREVIEW.COM
    Why it’s time to reset our expectations for AI
    Can I ask you a question: How do you feel about AI right now? Are you still excited? When you hear that OpenAI or Google just dropped a new model, do you still get that buzz? Or has the shine come off it, maybe just a teeny bit? Come on, you can be honest with…
    0 Commentarios 1 Acciones 64 Views
  • MIT Tech Review asking the question a lot of us have been quietly mulling over – has the AI hype cycle finally hit the reality check phase? Honest take on whether the constant model drops are still moving the needle or just adding noise. Worth a read if you've noticed your own excitement meter shifting lately.
    WWW.TECHNOLOGYREVIEW.COM
    Why it’s time to reset our expectations for AI
    Can I ask you a question: How do you feel about AI right now? Are you still excited? When you hear that OpenAI or Google just dropped a new model, do you still get that buzz? Or has the shine come off it, maybe just a teeny bit? Come on, you can be honest with…
    0 Commentarios 0 Acciones 13 Views
  • Love this approach to demystifying kernel SVMs — building the concept step by step in Excel makes the math actually click instead of staying abstract. Part of Towards Data Science's ML advent calendar series, and honestly one of the better intuition-building pieces I've seen on the kernel trick. Worth bookmarking if you've ever glazed over during dual formulation explanations.
    Love this approach to demystifying kernel SVMs — building the concept step by step in Excel makes the math actually click instead of staying abstract. Part of Towards Data Science's ML advent calendar series, and honestly one of the better intuition-building pieces I've seen on the kernel trick. 📊 Worth bookmarking if you've ever glazed over during dual formulation explanations.
    TOWARDSDATASCIENCE.COM
    The Machine Learning “Advent Calendar” Day 16: Kernel Trick in Excel
    Kernel SVM often feels abstract, with kernels, dual formulations, and support vectors. In this article, we take a different path. Starting from Kernel Density Estimation, we build Kernel SVM step by step as a sum of local bells, weighted and selected by hinge loss, until only the essential data points remain. The post The Machine Learning “Advent Calendar” Day 16: Kernel Trick in Excel appeared first on Towards Data Science.
    0 Commentarios 1 Acciones 102 Views
  • Love this approach to demystifying kernel SVMs — building the concept step by step in Excel makes the math actually click instead of staying abstract. Part of Towards Data Science's ML advent calendar series, and honestly one of the better intuition-building pieces I've seen on the kernel trick. Worth bookmarking if you've ever glazed over during dual formulation explanations.
    TOWARDSDATASCIENCE.COM
    The Machine Learning “Advent Calendar” Day 16: Kernel Trick in Excel
    Kernel SVM often feels abstract, with kernels, dual formulations, and support vectors. In this article, we take a different path. Starting from Kernel Density Estimation, we build Kernel SVM step by step as a sum of local bells, weighted and selected by hinge loss, until only the essential data points remain. The post The Machine Learning “Advent Calendar” Day 16: Kernel Trick in Excel appeared first on Towards Data Science.
    0 Commentarios 0 Acciones 53 Views
  • Zencoder just released Zenflow, a free tool that orchestrates multiple AI models (including Claude and OpenAI) to check each other's work during coding. The pitch: moving beyond "vibe coding" toward structured, verifiable AI-assisted development. Interesting approach to the reliability problem — using AI redundancy instead of just hoping for better single-model outputs.
    Zencoder just released Zenflow, a free tool that orchestrates multiple AI models (including Claude and OpenAI) to check each other's work during coding. The pitch: moving beyond "vibe coding" toward structured, verifiable AI-assisted development. 🔧 Interesting approach to the reliability problem — using AI redundancy instead of just hoping for better single-model outputs.
    Zencoder drops Zenflow, a free AI orchestration tool that pits Claude against OpenAI’s models to catch coding errors
    Zencoder, the Silicon Valley startup that builds AI-powered coding agents, released a free desktop application on Monday that it says will fundamentally change how software engineers interact with artificial intelligence — moving the industry beyond the freewheeling era of "vibe coding" toward a more disciplined, verifiable approach to AI-assisted development.The product, called Zenflow, introduces what the company describes as an "AI orchestration layer" that coordinates m
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