EP15: AI Wars, Innovations, Privacy, and the Road Ahead

In this episode, the discussion centers around the intensifying competition in the AI space, with significant focus on OpenAI's launch of GPT-4, labeled GPT-4 Omicron, and its capabilities including voice-to-voice conversations, real-time vision recognition, and chat interruptions for a more human-like interaction. The episode also covers Google's strategy to overshadow OpenAI with its Google I/O announcements, showcasing advanced AI integrations in various applications. The conversation further explores OpenAI's flirtatious chatbot compared to Scarlett Johansson's character in 'Her', and touches on the broader implications of AI in terms of data privacy, ethical use, and potential misuse. The dialogue wraps up with a look at AI advancements in other companies like Slack and potential future directions in AI technology and its impact on society.
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00:00 Welcome to Episode 15: Diving into the AI Wars
00:33 OpenAI's GPT-4 Announcement Highlights
04:51 Comparing AI Innovations: OpenAI vs. Google
07:21 The Hype Cycle and Tech Innovation
16:11 Privacy Concerns and AI Development
19:41 The Business of AI and Ethical Considerations
24:38 The AI Safety and Misuse Debate
25:35 The Rise of AI in Social Media and Its Ethical Implications
26:47 AI-Generated Scams: A New Era of Digital Deception
28:14 The Battle Against AI Misuse: White Hat vs. Adversarial AI
29:44 The Future of AI: Business Opportunities and Ethical Dilemmas
30:23 The Influence of AI on Financial Markets and Investments
33:32 Privacy Concerns in the Age of AI
39:58 Google's IO Recap and the Future of AI Integration

[@hutchison15]

Great episode! You both touched on it briefly, but I find the privacy and timeliness of AI to be the most interesting and pressing breakthroughs we're about to see. I feel like response speed and interaction formats are a natural first step for Gemini, ChatGPT, etc., to nail down. However, eventually, as a product selling point, we're going to see these companies tout that they have more recent data, racing to see who can accomplish live data returns.
Question for you both: Do you share this sentiment? If so, how could you foresee a company potentially protect user data from real-time returns, or would it even be possible?

[@DconstructedPodcast]

Thank you! Matt here...definitely share your sentiment.
One thing that we edited out of the final video was some discussion we were having about how to moderate AI, and we had coined a term, "Combat AI with AI." - Today, Meta and other companies have to deal with moderation of their content to ensure safety and it's mostly done manually and with some ML help. With the advancement of AI LLMs, I believe that AI will need to moderate AI in the future. So, I feel that real-time returns will need to be moderated by AI itself in order to ensure safety in this scary future world. What do you think about the aspect of Combating AI with AI?