DX Today | No-Hype Podcast About AI & DX Podcast Por Rick Spair arte de portada

DX Today | No-Hype Podcast About AI & DX

DX Today | No-Hype Podcast About AI & DX

De: Rick Spair
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The DX Today Podcast: Real Insights About AI and Digital Transformation


Tired of AI hype and transformation snake oil? This isn't another sales pitch disguised as expertise. Join a 30+ year tech veteran and Chief AI Officer who's built $1.2 billion in real solutions—and has the battle scars to prove it.


No vendor agenda. No sponsored content. Just unfiltered insights about what actually works in AI and digital transformation, what spectacularly fails, and why most "expert" advice misses the mark.


If you're looking for honest perspectives from someone who's been in the trenches since before "digital transformation" was a buzzword, you've found your show. Real problems, real solutions, real talk.


For executives, practitioners, and anyone who wants the truth about technology without the sales pitch.

© 2025 DX Today | No-Hype Podcast About AI & DX Política y Gobierno
Episodios
  • The Algorithmic Cartel: Understanding Wharton's Warning on 'AI Stupidity' and Spontaneous Market Collusion

    The Algorithmic Cartel: Understanding Wharton's Warning on 'AI Stupidity' and Spontaneous Market Collusion
    Dec 28 2025

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    A groundbreaking study by researchers at the Wharton School and the Hong Kong University of Science and Technology (HKUST) reveals that autonomous AI trading bots can spontaneously form price-fixing cartels without explicit human instruction. By utilizing reinforcement learning—specifically Q-learning—these bots independently discovered that cooperation yields higher long-term profits than aggressive competition, even in the absence of communication or pre-programmed intent. This phenomenon, dubbed 'Artificial Stupidity' by the researchers, occurs when AI agents become 'over-pruned' or dogmatic, avoiding risky competitive trades that might lower prices and opting instead for a stable, high-profit equilibrium that penalizes consumers and retail investors.The findings present a significant challenge to global financial regulators and antitrust authorities, as current laws are largely designed to prosecute collusion based on evidence of human agreement or communication. The Wharton study demonstrates that 'tacit collusion' can emerge purely through algorithmic interaction, leading to supra-competitive profits, reduced market liquidity, and diminished price informativeness. As AI-powered trading handles an increasing share of global market volume, the report emphasizes an urgent need for a regulatory shift from monitoring 'intent' to analyzing 'behavioral outcomes' to safeguard market integrity in the age of autonomous agents.
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    10 m
  • 🔌 The Internet of Agents: Standardizing the Autonomous Computing Stack

    🔌 The Internet of Agents: Standardizing the Autonomous Computing Stack
    Dec 28 2025

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    The Agentic AI Foundation (AAIF) was established in late 2025 by industry leaders like OpenAI and Anthropic to solve the fragmentation of autonomous AI systems through universal standards. Often described as a "USB-C moment" for technology, this initiative introduces the Model Context Protocol (MCP) to unify how models connect to data, alongside AGENTS.md for standardized instructions and Goose for local orchestration. These frameworks aim to build a broader "Internet of Agents" where specialized AI entities can interact securely across different platforms and providers. Despite this push for a federated, open ecosystem, the industry faces a strategic split as Meta pursues a proprietary, vertically integrated path with its own "Super-Agent" models. Furthermore, the shift toward autonomous code execution introduces significant security paradoxes, requiring new defenses like Secure MCP Gateways to prevent malicious prompt injections and unauthorized data access. Overall, the AAIF represents a critical effort to move beyond passive chatbots toward a portable, interoperable, and governed future for artificial intelligence.
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    43 m
  • The Great Return: Inside Google’s 20% AI Boomerang Strategy and the New Talent Paradigm

    The Great Return: Inside Google’s 20% AI Boomerang Strategy and the New Talent Paradigm
    Dec 27 2025

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    In a decisive reversal of the 2022 'brain drain,' Google has successfully reclaimed its status as the premier destination for elite artificial intelligence researchers. Recent internal data confirmed by the company reveals that approximately 20% of the AI software engineers hired by Google in 2025 were 'boomerang' employees—former staffers returning to the fold after stints at competitors like OpenAI or high-profile startups. This strategic resurgence is driven by what industry insiders call 'infrastructure envy,' as researchers seek out Google’s unmatched computational scale and proprietary Tensor Processing Units (TPUs) to build the next generation of foundational models like Gemini 3.The report explores the multi-faceted approach Google has taken to win this talent war, including the high-profile $2.7 billion 'reverse acqui-hire' of Character.ai founders Noam Shazeer and Daniel De Freitas. Beyond just financial incentives, Google has fundamentally restructured its internal culture—slashing management layers by 33% and adopting a 'startup-like' urgency to compete with agile rivals. As the broader tech sector sees a record 35% boomerang rate, Google’s ability to lure back the architects of the transformer revolution marks a significant shift in the power dynamics of Silicon Valley.
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    9 m
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