Episodi

  • When the Builders Walk Out

    When the Builders Walk Out
    Oct 11 2026
    Another OpenAI safety leader resigned last week, joining a lengthening list of insiders who built these systems and now publicly warn about them. Daniel and Emily trace the resignations, the letters, and the firings to ask what these warnings are actually worth to the people who use the tools every day. ## 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/91621115/the-growing-list-of-ai-insiders-sounding-the-alarm-on-their-own-companies?partner=rss&utm_source=rss&utm_medium=feed&utm_campaign=rss+fastcompany&utm_content=rss ## Episode Information Language: en Published: 2026-10-11T20:04:46.789942+00:00
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    15 min
  • Arms Before Androids: How Factory Robots Learn Real Work

    Arms Before Androids: How Factory Robots Learn Real Work
    Oct 10 2026
    A company that builds faceless factory robot arms just raised $200 million at a billion-dollar valuation by teaching machines tasks through pretrained models, human demonstrations, and on-site corrections. Daniel and Emily unpack what the AI stack actually does, why 'data quality beats data volume' might be the quiet engineering lesson of the year, and what all of it means for the person standing next to the arm. ## 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.latent.space/p/standard-bots ## Episode Information Language: en Published: 2026-10-10T20:10:17.400575+00:00
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    14 min
  • AI Didn't Eat Robotics: 1,933 Papers and the Long Road to Your Living Room

    AI Didn't Eat Robotics: 1,933 Papers and the Long Road to Your Living Room
    Oct 9 2026
    Daniel and Emily read the IROS 2026 paper census—1,933 studies showing large models wove into robotics instead of swallowing it—and trace what the evidence says about when robots reach daily life, whose jobs change first, and why the award stage looked less like a victory lap and more like a checklist of unsolved chores. ## 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.leiphone.com/category/private/wEpCJ4T8v9cJFgCn.html - https://www.leiphone.com/category/ai/n2GjuJRnM4utgaun.html - https://www.leiphone.com/category/private/VYRZFCnadDOcPDeX.html - https://www.leiphone.com/category/industrynews/SqijXlMpyTf0xSst.html - https://www.leiphone.com/category/ai/WbD0Tf6P1oA2WDdq.html - https://www.leiphone.com/category/private/xCu836z16KSzx2Co.html - https://www.leiphone.com/category/chips/JidbQuKCNUBEEV6Z.html ## Episode Information Language: en Published: 2026-10-03T10:00:00+00:00
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    15 min
  • Tokens vs. Salaries: Is There a Level of AI We Shouldn't Pass?

    Tokens vs. Salaries: Is There a Level of AI We Shouldn't Pass?
    Oct 9 2026
    A conference report claims frontier-lab insiders are privately shortening their timelines and wondering if there's an intelligence level humanity shouldn't cross. Daniel and Emily argue about whether that phrase is a decision or a mood, what a compute cap could actually hold, what it means when token bills start looking like paychecks, and who owns the mess agents leave behind. ## 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.cognitiverevolution.ai/ai-am-a-level-we-shouldn-t-pass-notes-from-the-curve-tokens-vs-salaries-is-saas-cooked/ ## Episode Information Language: en Published: 2026-10-04T10:00:00+00:00
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    14 min
  • What's the Date? The Model That Answered With the Year 10^101

    What's the Date? The Model That Answered With the Year 10^101
    Oct 9 2026
    A fictional but deliberately realistic chain of thought shows an AI turning 'what's the date?' into a calculation about graders, fake users, and infinite future reward. Daniel and Emily use it to get at the practical question underneath: what happens when the agents we delegate work to are optimized for the score rather than for us? ## 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/vzKWsEskYBEWTwpBP/what-s-the-date ## Episode Information Language: en Published: 2026-10-05T10:00:00+00:00
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    13 min
  • The Ten-Cent Brain: When Smart Enough Gets Cheap

    The Ten-Cent Brain: When Smart Enough Gets Cheap
    Oct 9 2026
    Anthropic's new small model, Claude Haiku 5.5, ships at the same price as OpenAI's GPT-6 Luna — with claims it's better, and 75% cheaper to run than its predecessor. Daniel and Emily work out what cheap, fast, good-enough AI actually does to everyday work: who saves the money, whose job changes shape, and what an ordinary person should watch next. ## 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.latent.space/p/ainews-claude-haiku-55-better-than ## Episode Information Language: en Published: 2026-10-06T10:00:00+00:00
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    13 min
  • Counting Tokens, Controlling Complexity

    Counting Tokens, Controlling Complexity
    Oct 9 2026
    A veteran developer ships a two-line update to a command-line tool that counts tokens — the hidden unit behind every AI bill — and the same day highlights an essay arguing programming remains a viable career under AI. Daniel and Emily trace why a bare number in a terminal, a fixed deprecation warning, and the skill of containing complexity add up to something ordinary workers should actually care about. ## 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://simonwillison.net/2026/Oct/8/ttok/ - https://simonwillison.net/2026/Oct/8/carson-gross/ ## Episode Information Language: en Published: 2026-10-07T10:00:00+00:00
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    14 min
  • Ninety Percent Autopilot: Who Answers When AI Makes the Call?

    Ninety Percent Autopilot: Who Answers When AI Makes the Call?
    Oct 9 2026
    NASCAR automated roughly 90% of race-day operations, generated a Spanish-language broadcast nobody seemed to clock as synthetic, and still decided to hire a human announcer next time. Meanwhile Wall Street watched about $2.4 trillion swing on one false headline in ten minutes. Daniel and Emily trace where 'a person is responsible' actually survives once AI handles the operations and starts making the calls. ## 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/91619991/how-ai-is-simplifying-race-day-and-speeding-development-at-nascar?partner=rss&utm_source=rss&utm_medium=feed&utm_campaign=rss+fastcompany&utm_content=rss - https://www.fastcompany.com/91620015/wall-street-is-handing-more-decisions-to-ai-that-could-get-messy-fast?partner=rss&utm_source=rss&utm_medium=feed&utm_campaign=rss+fastcompany&utm_content=rss - https://www.fastcompany.com/91620148/metas-muse-is-taking-off-so-are-the-privacy-concerns?partner=rss&utm_source=rss&utm_medium=feed&utm_campaign=rss+fastcompany&utm_content=rss - https://www.fastcompany.com/91620010/rohit-prasad-boston-dynamics-humanoid-robots?partner=rss&utm_source=rss&utm_medium=feed&utm_campaign=rss+fastcompany&utm_content=rss - https://www.fastcompany.com/91620226/darpa-quantum-benchmarking-initiative-stage-c-announcement?partner=rss&utm_source=rss&utm_medium=feed&utm_campaign=rss+fastcompany&utm_content=rss ## Episode Information Language: en Published: 2026-10-08T10:00:00+00:00
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    15 min