AI Applied: Covering AI News, Interviews and Tools - ChatGPT, Midjourney, Gemini, OpenAI, Anthropic

Jaeden Schafer and Conor Grennan
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Mar 2, 2024 • 10min

New Groq AI Model vs. Elon's Twitter Grok AI

Delve into the competition between Groq AI and Elon's AI model, exploring their capabilities and implications. Learn about the technology behind AI models, the differences between GPU and LPU processing, and the anticipation for new AI tools. Discover the features, potential applications, and ethical considerations surrounding these innovative developments in AI-driven platforms.
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Feb 29, 2024 • 35min

AI's Future with Alex Singla & Liz Grennan from McKinsey

In this podcast, senior partners from McKinsey discuss their roles in Quantum Black and data ethics, sharing insights on AI and analytics. They explore the importance of moving beyond generic frameworks in decision-making and navigating digital transformation with AI implementation. Embracing AI for personal and societal betterment is emphasized, highlighting the positive impact of technology on communities.
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Feb 26, 2024 • 9min

Reddit to Sell User Data for $60M/yr. to Train AI

Reddit decides to sell user data for $60 million annually to train AI, sparking ethical concerns around data monetization and user privacy. The podcast explores the impact of this move on AI development, data trading history, and user consent in the digital era.
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Feb 24, 2024 • 13min

OpenAI Adds Memories, Google Drops Gemini 1.5

The podcast covers OpenAI's new memory capabilities and Google's Gemini 1.5 release. It compares the two tools' features, strategies, and pricing structures, emphasizing the importance of engaging with new AI developments and tools for hands-on experience.
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Feb 22, 2024 • 18min

Funding Trends for AI Startups: AI Box Case Study

The podcast discusses the changing landscape of AI startups and the shift towards crowdfunding as a funding option. Jaeden emphasizes the potential of AI in streamlining and optimizing business processes, highlighting the benefits of automation with tools like AI Box. Insights shared on competing with industry giants, defensibility of products, and the transformative impact of AI on workflows and efficiency.
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Feb 20, 2024 • 15min

Implications of OpenAI's Text-to-Video Model Sora

Explore the revolutionary OpenAI text-to-video model, Sora, and its potential to transform content creation. Overcome skepticism with its impressive video quality and authenticity. Delve into the risks and benefits of Sora, emphasizing safety measures. Trust Open AI for transparency and innovative 3D environment capabilities.
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Feb 15, 2024 • 14min

FCC on AI Robo Calls, EU Deepfake Regulation

This podcast explores the regulatory landscape surrounding AI-driven robocalls as the FCC addresses the challenges posed by automated calling systems. The discuss the EU's proposed regulations on deepfakes and their implications on consumer protection, privacy rights, and the evolving AI landscape.
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Feb 13, 2024 • 15min

Google Gemini Replacing Bard and Google Assistant

Explore Google Gemini, a new virtual assistant replacing Bard and Google Assistant. The podcast dissects its enhanced capabilities, user experience, and potential impact on digital assistance. Critiques on Google's products, pricing, and monetization strategies are also discussed, along with frustrations with search results and faked demos.
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Feb 12, 2024 • 12min

Conor Grennan Launches "AI Mindset", AI Newsletter, Courses

Conor Grennan, shaping the AI landscape, discusses AI Mindset initiative, newsletter, and courses. Importance of continuous learning in AI, parallels to healthcare and supply chain. AI mindset framework promotes change management and leadership. AI Mindset newsletter provides valuable insights, tips, and visual graphics to subscribers.
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Feb 12, 2024 • 18min

Google Launches Imagen 2 and New AI Tools

Google recently launched Imagen 2 and new AI tools. The podcast explores these innovations and discusses Google's struggle to compete with Meta and OpenAI. It also highlights the importance of avoiding overpromising and underdelivering in the industry. The chapter compares Google's new AI tools to Meta's open-source strategy and expresses frustration with Google's lack of availability and trustworthiness in their demos. The speakers also discuss developers' experiences with AI technologies and express concerns about Google's approach to AI and search results.

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