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AI's Impact on Communication

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Manage episode 488941841 series 3671933
Content provided by Bitty Productions. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Bitty Productions or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Dive into the AI revolution in this episode of the Token by Token Podcast! We looks at how artificial intelligence is reshaping not just technology, but our everyday language and culture. From the meteoric rise of terms like “prompt engineering” to the fastest adoption of tech vocabulary in history, we explore:

  • Cultural shifts: Why AI jargon has exploded 400% in casual conversation—faster than social media slang ever did.
  • Corporate communication: A side-by-side of OpenAI’s practical, user-friendly releases (300% uptick in engagement) versus Google’s LaMDA deep-dive on technical specs.
  • Industry impact: How healthcare (156% YoY), finance (123%), and education (98%) are racing ahead with AI integrations.
  • Community innovation: The open-source surge—with contributors up 250%—and a groundbreaking project preserving 1,000+ endangered language patterns.
  • Ethics & trust: Why transparency about AI’s limits boosts user confidence by 65%, and how cultural framing (collective benefit vs. personal productivity) drives adoption.
  • What’s next: Three major trends we’re watching—AI education’s 200% growth, cross-industry collaboration rising 150%, and ethics baked into development up 180%.

Tune in as Timmy and I dissect the data, debate the big players’ strategies, and chart the future of human–AI collaboration. Whether you’re a tech insider or curious newcomer, get ready for insights that redefine how we talk about—and live with—artificial intelligence.

Tune in, streamline your operations, and let Mary, Timmy and Jason help you succeed—token by token.

Produced by Paul Ingham

  continue reading

3 episodes

Artwork
iconShare
 
Manage episode 488941841 series 3671933
Content provided by Bitty Productions. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Bitty Productions or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Dive into the AI revolution in this episode of the Token by Token Podcast! We looks at how artificial intelligence is reshaping not just technology, but our everyday language and culture. From the meteoric rise of terms like “prompt engineering” to the fastest adoption of tech vocabulary in history, we explore:

  • Cultural shifts: Why AI jargon has exploded 400% in casual conversation—faster than social media slang ever did.
  • Corporate communication: A side-by-side of OpenAI’s practical, user-friendly releases (300% uptick in engagement) versus Google’s LaMDA deep-dive on technical specs.
  • Industry impact: How healthcare (156% YoY), finance (123%), and education (98%) are racing ahead with AI integrations.
  • Community innovation: The open-source surge—with contributors up 250%—and a groundbreaking project preserving 1,000+ endangered language patterns.
  • Ethics & trust: Why transparency about AI’s limits boosts user confidence by 65%, and how cultural framing (collective benefit vs. personal productivity) drives adoption.
  • What’s next: Three major trends we’re watching—AI education’s 200% growth, cross-industry collaboration rising 150%, and ethics baked into development up 180%.

Tune in as Timmy and I dissect the data, debate the big players’ strategies, and chart the future of human–AI collaboration. Whether you’re a tech insider or curious newcomer, get ready for insights that redefine how we talk about—and live with—artificial intelligence.

Tune in, streamline your operations, and let Mary, Timmy and Jason help you succeed—token by token.

Produced by Paul Ingham

  continue reading

3 episodes

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