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AI and digital expert Suchi Srinivasan and fintech practice leader Kamila Rakhimova from Boston Consulting Group (BCG) talk to the women at the vanguard of business, digital, and technology. They’re digging into how these powerhouse leaders got where they are—everything from the joy of projects gone right to the realities of family responsibilities. And crucially, asking: what was that moment you knew you weren't merely getting there...you had arrived? That's when you know you're in your ele ...
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Apple is paying Google $1 billion because it failed at AI. 🤯
According to reports, Apple's powering its next generation of Siri with a custom version of Google's Gemini model.
So... how did Apple fail so bad and why is Google bailing them out?
And ultimately... what does this mean for Apple's users worldwide?
Come for those answers, stay for the #HotTakeTuesday
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Topics Covered in This Episode:
- Apple's $1 Billion Gemini AI Deal
- Siri's Internal Failure Rate Analysis
- Apple's Generative AI Development Struggles
- Google Gemini Integration for Siri Explained
- Data and Privacy Challenges in Apple AI
- Market Cap Impact from Apple’s AI Lag
- Apple’s Talent Drain in AI Engineering
- Mixture of Experts Model for Siri’s Upgrade
- Complex Multi-App Commands with Gemini-Powered Siri
- Future of Apple’s Own Trillion-Parameter Model
Timestamps:
00:00 "AI Innovation Needs Safe Sandbox"
03:19 Apple's Siri AI Failure
09:04 "Apple’s AI Strategy with Gemini"
12:48 Apple's Market Cap Shift Explained
15:41 Apple's Siri: Tech Debt Struggles
20:06 Apple-Google Rivalry Over Data Privacy
21:48 "Apple's Cost-Effective AI Strategy"
24:33 Future AI-Empowered Data Organization
30:12 Apple Bailout & Siri’s AI Needs
31:19 "Model-Agnostic AI Solution"
Keywords:
Apple, Google Gemini, Siri, $1 billion bailout, AI partnership, privacy first company, generative AI failure, Apple Intelligence, large language model, 1.2 trillion parameter model, licensing agreement, Siri upgrade, AI brain, ChatGPT integration, OpenAI, Anthropic, talent drain, data gap, market cap, arrogance in AI development, private cloud compute, stateless compute, mixture of experts, sparse activation, cost management, reasoning models, multi-step commands, mobile assistant, voice agents,
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