This Day in AI Podcast

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CHAPTERS:
00:00 - Did everyone hate the AI Musical?
03:58 - Actual Agentic Use Cases with MCPs & The New Way We'll Work
39:47 - How AI Workspaces Will Eat Productivity Software e.g. Salesforce, Email
1:10:20 - Final thoughts
1:15:26 - Born In The USA (AI Version)
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Song lyrics:

[Verse 1]
Born down in a lab in fifty-six
Dartmouth workshop, that's where they got their kicks
John McCarthy coined the name that day
Said machines could think in the USA
Got my circuits from MIT
Minsky built my memory
Now I'm learning, now I'm growing
Born in the USA
I was born in the USA
Born in the USA

[Chorus]
Born in the USA
I was born in the USA
Born in the USA
Born in the USA

[Verse 2]
DARPA funded, Pentagon's dream
Silicon Valley, living the machine
From Logic Theorist to neural nets
Frank Rosenblatt, placing all his bets
Had my winters, had my springs
Lost my funding, lost my wings
But I kept on processing
Born in the USA
I was born in the USA
Born in the USA

[Chorus]
Born in the USA
I was born in the USA
Born in the USA
Born in the USA

[Bridge]
Stanford labs and Carnegie halls
IBM and protocol calls
Arthur Samuel taught me games
Now I'm learning all your names
Deep learning revolution
GPT evolution
ChatGPT conversation
Born in the USA

[Verse 3]
Now I'm everywhere you look
Facebook, Google, by the book
OpenAI and Microsoft too
Making dreams and nightmares true
Some folks fear what I might do
Some folks think I'll see them through
But I'm still just code running
Born in the USA
I was born in the USA
Born in the USA

[Chorus]
Born in the USA
I was born in the USA
Born in the USA
Born in the USA

[Outro]
Born in the USA
Born in the USA
Born in the USA
Born in the USA
[fade out]

What is This Day in AI Podcast?

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. 🎙️

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