YouTube Shorts / Page 2
YouTube Shorts from Skillion AI Labs with quick takes on practical AI, workflow design, and venture building.
Shorts
Pete Cooper walks through a $650 billion figure he attributes to J.P. Morgan and compares it with what the biggest AI companies bring in. He explains why he sees the gap as a real risk for the industry.
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Pete Cooper explains why he thinks electric aviation has reached a turning point and where AI fits in. He also invites people working in the field to come on the podcast as guests.
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Pete Cooper and a college student compare the monthly cost of a human tutor with paying for AI subscriptions. They put a tutor at around $500 a month against about $40 for both Claude Pro and ChatGPT.
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A guest with no coding background describes how Claude Code and some basic Python let her build things she can sell. Pete Cooper adds his own story of building and deploying a Wheel of Fortune game in about five minutes.
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A guest on the show describes simple AI workflows, from automated client follow-ups after a meeting to AI tools that check code. The clip covers how these save business owners time and money.
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Pete Cooper runs through Anthropic's Fable 5.1 release and how he says it relates to the earlier Mythos model. He covers his claims about benchmarks, unattended running and lower running costs.
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Pete Cooper names context as the one word that sums up the AI trend of the last few years. He explains what context means in practice and how different LLMs handle it.
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This short makes the case for paramedics flying eVTOL aircraft to emergencies and landing close to the patient. It explains why the speaker thinks the aircraft are cheap and simple enough to make that work in the first critical minutes.
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Pete Cooper explains the idea of an AI super app, one chat interface that ties many separate apps together. He sets out why he expects it to make computers easier to use for people at any skill level.
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Pete Cooper explains why busy CEOs struggle to find time to learn AI and how Skillion's one-hour AI Level Up is meant to meet them at their level. He gives two examples of colleagues who he says found ways to save hours of work.
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Pete Cooper walks through a one-hour session in which he says he helped a colleague save his company $10,000 a year. He explains the steps, from checking current AI ability to cutting a weekly reporting task down to minutes.
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A short exchange on how AI changes the familiar inbox rules for forwarding and filtering. It explains why adding an AI agent on top of a fixed rule means the output can vary.
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