『Signal and Stories』のカバーアート

Signal and Stories

Signal and Stories

著者： Boris Meinardus and Max Buckley
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The signal behind the AI hype and the stories of the people building it. Signal & Stories is a podcast hosted by Max Buckley and Boris Meinardus. Every episode is a long-form conversation with the engineers, researchers and founders shaping AI — cutting through the hype cycle to the technical detail and the human story behind it.© 2026 Boris Meinardus and Max Buckley 出世 就職活動 経済学
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  • Cognition AI Engineer: Inside The $26B AI Tool Replacing Enterprise IT – Ben Lau

    Cognition AI Engineer: Inside The $26B AI Tool Replacing Enterprise IT – Ben Lau
    2026/08/23
    When Ben Lau rose to Junior Partner after a decade at McKinsey, he realized a fundamental tension in corporate consulting: selling high-priced strategic slide decks was becoming increasingly detached from hands-on technical execution. Instead of remaining in comfortable upper-tier management, he made a radical choice to reset his career—taking on a coding challenge that landed him as a Forward Deployed Engineer at Cognition, the $26B startup behind Devin. In this episode, we sit down with Ben to look at the seismic shift transforming software engineering and enterprise strategy: We break down a lot of fascinating tech and stories: ◼️ McKinsey To AI Startup: Why he walked away from a 10-year career as a Junior Partner to jump directly into the high-stakes world of frontier AI deployment. ◼️ The Rise Of The FDE: How Forward Deployed Engineers are replacing traditional management consulting by delivering working software instead of expensive slide decks. ◼️ Cloud Agents Vs. Local Tools: Why local coding assistants fall short on massive enterprise repositories, and how cloud-hosted agents leverage elastic virtual machines to handle complex parallel workloads. ◼️ Eliminating AI Slop: The exact architecture Cognition uses to keep agents from duplicating code, from pre-indexing codebases with DeepWiki to enforcing multi-agent dialectic code reviews. ◼️ Non-Engineers Writing Code: How non-technical sales and operations teams are using Devin to diagnose system bugs, run tests, and submit functional pull requests directly. Beyond the technical discussion, this chat is a in inspiration when it comes to shifting careers! It shows that you don’t have to be a deeply technical person to be able to work with code anymore! It is a story about finding out what is important to each person, how to provide value, and how to adapt to modern tools to solve those problems. Enjoy! Check out Cognition and Devin at cognition.com and devin.ai
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    1 時間 16 分
  • ML Systems CEO: NVIDIA's Monopoly Will Have a Problem - Emilio Andere

    ML Systems CEO: NVIDIA's Monopoly Will Have a Problem - Emilio Andere
    2026/07/21
    NVIDIA currently charges the entire tech industry a massive 60%* profit margin on AI chips. But behind closed doors, their software monopoly is starting to slip as new AI agents make it easy to run alternative hardware. Growing up in Mexico, Emilio Andere realized early on that local opportunities in deep tech were heavily limited, prompting a move to the US to study mathematics and publish ML security research at NeurIPS. Now, he is the co-founder and CEO of Wafer, a YC and Jeff Dean-backed startup automating low-level kernel engineering to actively erode the CUDA moat and build a future of open, heterogeneous AI hardware. In this episode, we sit down with Emilio Andere to look at the future of heterogeneous hardware, the brutal reality of working with Y Combinator, and how they went from a simple idea to serving billions of tokens a day on Open Router. We break down a lot of fascinating tech and stories: ◼️ The CUDA Moat - Why NVIDIA's margins are actually a soft software moat that is easier to break than the market realizes. ◼️ Kernel Engineering - What it is, the state of AI-automated design, and the challenges of designing Kernels on hardware other than NVIDIA. ◼️ Y Combinator - The brutal reality of internal competition amongst startups that forces founders to grow rapidly or face public failure. ◼️ The Open Router Surge - What happened behind the scenes when Wafer went live on the world’s biggest token router and instantly processed billions of tokens. Beyond the raw software and hardware deep-dives, this conversation is about the democratization of human intelligence. By breaking down this huge monopoly, we are opening up a world where advanced AI is cheap, accessible, and sovereign for everyone on Earth. Follow Emilio Andere's work: ◼️ LinkedIn: https://www.linkedin.com/in/emilio-andere/ ◼️ Wafer: https://www.wafer.ai/ Further reading: ◼️ Kernel Bench paper: https://arxiv.org/abs/2502.10517 ◼️ *https://newsletter.semianalysis.com/p/ai-value-capture-the-shift-to-model ◼️ https://www.wafer.ai/blog
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    1 時間 17 分
  • AI Expert Warning: The Permanent Underclass Discourse Is A Lie, Do This Instead!

    AI Expert Warning: The Permanent Underclass Discourse Is A Lie, Do This Instead!
    2026/06/28
    When Devansh Devansh was part of a small team that beat Apple at detecting Parkinson’s disease using real-time voice calls, he learned a frustrating lesson about big tech: internal corporate politics can easily buy up a breakthrough algorithm and bury it. Years later, after building a massive following on his Substack, AI Made Simple, he made a radical choice. Instead of chasing a cozy role at a major AI lab, he chose to open-source his research and build a decentralized community called the Chocolate Milk Cult. His reasoning? Big tech companies have become too risk-averse, with researchers more focused on job security than making actual breakthroughs. In this episode, we sit down with Devansh to cut through the hype and look at the real engineering bottlenecks in AI today. We talk about: ◼️ What actually happens when corporate bureaucracy sidelines life-saving technology. ◼️ The practical flaws behind how OpenAI and Anthropic handle AI memory, and how his team solved it for legal tech. ◼️ Why he walked away from institutional big tech money to keep his research open to everyone. ◼️ How big tech's fear of making mistakes is quietly stalling the next generation of AI models. ◼️ The current "underclass" AI narrative, and what it really takes for a young engineer to stand out right now. If you're tired of the generic AI hype cycle and want a realistic look at where the technology is actually going, this conversation is for you. Follow Devansh's Substack: https://www.artificialintelligencemadesimple.com/
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    1 時間 32 分
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