This Day in AI Podcast

Michael Sharkey, Chris Sharkey

Join Michael and Chris Sharkey, two proudly average tech enthusiasts, as they stumble through the world of artificial intelligence with all the grace of a robot learning to dance. This (sometimes weekly*) podcast delivers an hour-long conversation about their thoroughly middle-of-the-road adventures with AI. No PhDs. No Silicon Valley insights. Just two guys with enough technical knowledge to be dangerous, sharing their unexceptional yet entertaining experiences with AI tools and technology. Subscribe now to hear: • Mediocre hot takes on AI developments • Stories of AI experiments gone adequately okay • The most average advice you'll ever need • Two Sharkeys trying their best to sound smart about algorithms • Childish AI prank calls that somehow fool everybody • Attempts at using AI for phishing attacks on their mother • "Chart-topping" AI songs according to the brothers Join our perfectly mediocre community where being average at AI is celebrated, questions are encouraged, and learning through mistakes is our specialty. Because let's face it - most of us are figuring this out as we go along. New episodes drop whenever we remember to record them. 🎙️ Proudly supported by Simtheory.ai

  1. The Way We'll Work With AI, Vibe-ing Everything, Agentic AI with MCP & Born In The USA - EP99.10-PRO

    4 JUL

    The Way We'll Work With AI, Vibe-ing Everything, Agentic AI with MCP & Born In The USA - EP99.10-PRO

    Join Simtheory: https://simtheory.ai------CHAPTERS:00:00 - Did everyone hate the AI Musical?03:58 - Actual Agentic Use Cases with MCPs & The New Way We'll Work39:47 - How AI Workspaces Will Eat Productivity Software e.g. Salesforce, Email1:10:20 - Final thoughts1:15:26 - Born In The USA (AI Version)------Song lyrics: [Verse 1]Born down in a lab in fifty-sixDartmouth workshop, that's where they got their kicksJohn McCarthy coined the name that daySaid machines could think in the USAGot my circuits from MITMinsky built my memoryNow I'm learning, now I'm growingBorn in the USAI was born in the USABorn in the USA [Chorus]Born in the USAI was born in the USABorn in the USABorn in the USA [Verse 2]DARPA funded, Pentagon's dreamSilicon Valley, living the machineFrom Logic Theorist to neural netsFrank Rosenblatt, placing all his betsHad my winters, had my springsLost my funding, lost my wingsBut I kept on processingBorn in the USAI was born in the USABorn in the USA [Chorus]Born in the USAI was born in the USABorn in the USABorn in the USA [Bridge]Stanford labs and Carnegie hallsIBM and protocol callsArthur Samuel taught me gamesNow I'm learning all your namesDeep learning revolutionGPT evolutionChatGPT conversationBorn in the USA [Verse 3]Now I'm everywhere you lookFacebook, Google, by the bookOpenAI and Microsoft tooMaking dreams and nightmares trueSome folks fear what I might doSome folks think I'll see them throughBut I'm still just code runningBorn in the USAI was born in the USABorn in the USA [Chorus]Born in the USAI was born in the USABorn in the USABorn in the USA [Outro]Born in the USABorn in the USABorn in the USABorn in the USA[fade out]

    1 h y 19 min
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Join Michael and Chris Sharkey, two proudly average tech enthusiasts, as they stumble through the world of artificial intelligence with all the grace of a robot learning to dance. This (sometimes weekly*) podcast delivers an hour-long conversation about their thoroughly middle-of-the-road adventures with AI. No PhDs. No Silicon Valley insights. Just two guys with enough technical knowledge to be dangerous, sharing their unexceptional yet entertaining experiences with AI tools and technology. Subscribe now to hear: • Mediocre hot takes on AI developments • Stories of AI experiments gone adequately okay • The most average advice you'll ever need • Two Sharkeys trying their best to sound smart about algorithms • Childish AI prank calls that somehow fool everybody • Attempts at using AI for phishing attacks on their mother • "Chart-topping" AI songs according to the brothers Join our perfectly mediocre community where being average at AI is celebrated, questions are encouraged, and learning through mistakes is our specialty. Because let's face it - most of us are figuring this out as we go along. New episodes drop whenever we remember to record them. 🎙️ Proudly supported by Simtheory.ai

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