Until last year, I thought AI was just fake images and robots! But I saw it starting to infiltrate my industry and took a stand against fakery. But then after a confronting dinner party conversation, I realised I needed to catch up FAST. In this episode, I'm taking you along on my journey of discovery as I break down the AI basics in plain English - no tech speak, I promise! Think of this as your "I don't want to sound clueless at dinner parties" guide to what's happening with AI right now. And trust me, it's WAY more fascinating (and slightly terrifying) than I ever imagined!
What You'll Learn (In Fun, Non-Techy Language!):
- The Turing Test (or: "Wait, am I talking to a person or a robot right now?!")
- What the heck an LLM actually is (spoiler: it's the magic behind ChatGPT predicting what to say next)
- Why AI is biased (hint: it learned from the internet, which is... yikes)
- The "singularity" that tech folks are obsessed with (and why it matters to regular humans)
- The moment a computer did something so creative it freaked out a world champion
- Why creators like me are feeling both fascinated and queasy about AI copying our style
Key Moments:
- [00:06] Introduction to the episode
- [01:45] Explanation of the Turing Test
- [05:32] Deep dive into Large Language Models
- [09:15] Discussion of inherent bias in AI systems
- [12:40] Exploring the concept of the singularity
- [16:25] The pivotal "Go moment" when AI showed innovation
- [20:38] Addressing plagiarism and AI's impact on creativity
Resources Mentioned:
- "Man Made" by Tracy Spicer
- "The Singularity is Nearer" by Ray Kurzweil
- ChatGPT, Claude, and Gemini as examples of LLMs
Connect With Lisa:
Continue your conversation with Lisa on Substack
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