Episodes

  • Honey the Badger Tours the Data Center
    Oct 18 2026
    As communities push back against sprawling, power-hungry data center campuses, industry-friendly groups are turning to a time-tested tactic: a children's book, sponsored craft kits for first graders, even their own holiday. Daniel and Emily trace the playbook back a century and ask where education ends and narrative-building begins. ## Hosts ### Daniel Altman Daniel Altman is a computer scientist and AI strategist with a background in engineering, quantitative research, and emerging technologies. He studies how technological breakthroughs reshape industries, markets, work, and human capabilities. ### Emily Carter Emily Carter is a business strategist and former technology product leader with experience building digital products and studying how innovation reaches millions of users. She focuses on AI adoption, business transformation, work, education, entrepreneurship, and leadership. ## Sources - https://www.wired.com/story/data-center-industry-is-trying-to-woo-kids/ ## Episode Information Language: en Published: 2026-10-18T21:24:04.720157+00:00
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    14 mins
  • Green Lights, Wrong Answers: Trusting AI Agents That Fail Silently
    Oct 17 2026
    Before a recent launch, an AWS team's internal AI agent turned $410.08 of a customer's revenue into '$410.08 Million' — fluent, confident, and wrong, while every monitoring dashboard stayed green. Daniel and Emily dig into why agents fail silently, whether evaluation can become the operating system of trust, and what's left for human judgment when the machine drafts the answer. ## Hosts ### Daniel Altman Daniel Altman is a computer scientist and AI strategist with a background in engineering, quantitative research, and emerging technologies. He studies how technological breakthroughs reshape industries, markets, work, and human capabilities. ### Emily Carter Emily Carter is a business strategist and former technology product leader with experience building digital products and studying how innovation reaches millions of users. She focuses on AI adoption, business transformation, work, education, entrepreneurship, and leadership. ## Sources - https://aws.amazon.com/blogs/machine-learning/building-trust-in-ai-agents-a-production-ready-evaluation-framework-with-amazon-bedrock-agentcore/ ## Episode Information Language: en Published: 2026-10-17T21:26:30.455064+00:00
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    13 mins
  • The Invisible AI That's Already Changing Science
    Oct 16 2026
    Google Research's chief says AI has quietly transformed scientific discovery, but most people only feel the technology through chatbots and job anxiety. We dig into why the gap between invisible progress and direct impact matters. ## Hosts ### Daniel Altman Daniel Altman is a computer scientist and AI strategist with a background in engineering, quantitative research, and emerging technologies. He studies how technological breakthroughs reshape industries, markets, work, and human capabilities. ### Emily Carter Emily Carter is a business strategist and former technology product leader with experience building digital products and studying how innovation reaches millions of users. She focuses on AI adoption, business transformation, work, education, entrepreneurship, and leadership. ## Sources - https://www.fastcompany.com/91624458/james-manyika-google-research?partner=rss&utm_source=rss&utm_medium=feed&utm_campaign=rss+fastcompany&utm_content=rss ## Episode Information Language: en Published: 2026-10-16T21:13:18.840804+00:00
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    12 mins
  • Safety Signal or Sales Pitch? Judging AI Risk Warnings Without the Conspiracy Lens
    Oct 15 2026
    Frontier labs warn their own products could be catastrophic, and a popular rebuttal calls the whole thing a corporate plot to hype, distract, or lock in regulation. Daniel and Emily test that theory against researcher surveys, a messy firing scandal, an old fable about belling a cat, and eight state lawsuits, and end with a filter any listener can carry. ## Hosts ### Daniel Altman Daniel Altman is a computer scientist and AI strategist with a background in engineering, quantitative research, and emerging technologies. He studies how technological breakthroughs reshape industries, markets, work, and human capabilities. ### Emily Carter Emily Carter is a business strategist and former technology product leader with experience building digital products and studying how innovation reaches millions of users. She focuses on AI adoption, business transformation, work, education, entrepreneurship, and leadership. ## Sources - https://www.astralcodexten.com/p/ai-safety-is-not-a-corporate-plot - https://www.lesswrong.com/posts/SwYBLQvo8MddDcCwz/cat-belling-problems - https://www.normaltech.ai/p/steering-ai-beyond-automation - https://www.understandingai.org/p/openais-ironic-credibility-problem - https://www.platformer.news/openai-states-lawsuit-liability/ ## Episode Information Language: en Published: 2026-10-15T21:58:30.231676+00:00
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    15 mins
  • When AI Breaks: The Hidden Bill for Letting It Run
    Oct 14 2026
    AI agents are shipping code faster than teams can keep it running, models are quietly filling the encyclopedia with plausible fakes, and our own attention and skills are thinning from disuse. Daniel and Emily follow one question across three layers — infrastructure, knowledge, and the human body — and ask what we should be backing up before the night we need it. ## Hosts ### Daniel Altman Daniel Altman is a computer scientist and AI strategist with a background in engineering, quantitative research, and emerging technologies. He studies how technological breakthroughs reshape industries, markets, work, and human capabilities. ### Emily Carter Emily Carter is a business strategist and former technology product leader with experience building digital products and studying how innovation reaches millions of users. She focuses on AI adoption, business transformation, work, education, entrepreneurship, and leadership. ## Sources - https://newsletter.pragmaticengineer.com/p/building-resilient-systems - https://www.notboring.co/p/runway-learning-from-watching-the - https://www.wired.com/story/book-excerpt-the-last-best-place-on-the-internet-wikipedia-artificial-intelligence/ - https://aeon.co/essays/the-more-we-rely-on-tech-the-more-we-deskill-our-bodies - https://www.noahpinion.blog/p/a-nobel-for-new-keynesian-macro-at ## Episode Information Language: en Published: 2026-10-14T21:06:26.471506+00:00
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    14 mins
  • The Agent That Remembers You: Amplifying Your Agency, or Quietly Managing Your Life?
    Oct 14 2026
    Meta ships 'active memory' and 'active focus' as base-model capabilities, five giants race to own the personal agent, and YC's Garry Tan argues for an AI you actually own instead of rent. Daniel and Emily ask whether an agent that knows you and keeps working on your goals amplifies ordinary people — or quietly becomes the trustee of their lives. ## Hosts ### Daniel Altman Daniel Altman is a computer scientist and AI strategist with a background in engineering, quantitative research, and emerging technologies. He studies how technological breakthroughs reshape industries, markets, work, and human capabilities. ### Emily Carter Emily Carter is a business strategist and former technology product leader with experience building digital products and studying how innovation reaches millions of users. She focuses on AI adoption, business transformation, work, education, entrepreneurship, and leadership. ## Sources - https://www.infoq.cn/article/2QXm6PqYYX57AOxTYyO0?utm_source=rss&utm_medium=article - https://www.infoq.cn/article/pkFg3POvaTwJt9lei8Vj?utm_source=rss&utm_medium=article - https://www.qbitai.com/2026/10/502767.html - https://www.ifanr.com/1684008?utm_source=rss&utm_medium=rss&utm_campaign= - https://www.infoq.cn/article/LQjytCZpPdgOE5PrWU59?utm_source=rss&utm_medium=article - https://www.qbitai.com/2026/10/503107.html - https://www.qbitai.com/2026/10/502920.html - https://www.qbitai.com/2026/10/502849.html - http://www.geekpark.net/news/372300 - https://www.infoq.cn/article/Fvuq0C19vAAYpSBN3US2?utm_source=rss&utm_medium=article - https://www.infoq.cn/article/MrxaqhrQBMrZTcSGEgL1?utm_source=rss&utm_medium=article - https://www.infoq.cn/article/BEJ6IXREBoXspGmXRQHj?utm_source=rss&utm_medium=article - https://www.ifanr.com/1683992?utm_source=rss&utm_medium=rss&utm_campaign= - https://www.ifanr.com/1683963?utm_source=rss&utm_medium=rss&utm_campaign= - https://www.infoq.cn/article/CNMCVLwkvFb120huYzr9?utm_source=rss&utm_medium=article - https://www.qbitai.com/2026/10/502954.html - http://www.geekpark.net/news/372302 - https://www.ifanr.com/1684097?utm_source=rss&utm_medium=rss&utm_campaign= - https://www.ifanr.com/1684070?utm_source=rss&utm_medium=rss&utm_campaign= - https://sspai.com/post/116068 - https://sspai.com/post/115400 - https://sspai.com/post/116028 - https://www.ifanr.com/1683941?utm_source=rss&utm_medium=rss&utm_campaign= ## Episode Information Language: en Published: 2026-10-13T10:00:00+00:00
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    16 mins
  • When the Proof Checker Needs Checking
    Oct 12 2026
    AI systems now write formal proofs and Lean4 is the software trusted to certify them — but its own creator went from celebrating its rigor to publishing postmortems for kernel soundness bugs, warning that AIs are good at exploiting them. Daniel and Emily ask what a certificate is worth when the verifier itself is young, unproven software, and what humans still have to do. ## Hosts ### Daniel Altman Daniel Altman is a computer scientist and AI strategist with a background in engineering, quantitative research, and emerging technologies. He studies how technological breakthroughs reshape industries, markets, work, and human capabilities. ### Emily Carter Emily Carter is a business strategist and former technology product leader with experience building digital products and studying how innovation reaches millions of users. She focuses on AI adoption, business transformation, work, education, entrepreneurship, and leadership. ## Sources - https://www.lesswrong.com/posts/zHhGa3iQBQcdSifFL/a-critical-look-at-lean4-1 ## Episode Information Language: en Published: 2026-10-12T20:21:05.960883+00:00
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    15 mins