Techstrong Gang

Techstrong Gang - 5/15/2026

44 min · 15. mai 2026
episode Techstrong Gang - 5/15/2026 cover

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Mike Vizard, Jack Poller, Jeff Reich, Jon Swartz and Tracy Ragan break down Microsoft’s warning that AI agents can silently corrupt data in long workflows, the rise of spec-driven coding and the growing security risks of the exception economy.

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Alle episoder

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episode Techstrong Gang - 5/29/2026 cover

Techstrong Gang - 5/29/2026

Mike Vizard, Jon Swartz, Jack Poller, Jack Gold and Jeff Reich break down three stories showing where the AI era is colliding with business reality, public resistance and strategic competition. The first segment, No AI Jobs Apocalypse After All, looks at the growing retreat from earlier “AI jobs apocalypse” predictions as tech leaders face pressure to show revenue, not just disruption. The second segment, AI Contamination, turns to the backlash against AI data centers. Erin Brockovich is targeting local opposition, and state-level policymakers are beginning to respond as environmental and community concerns grow louder. The final segment, Quantum Arms Race, focuses on Washington’s new $2 billion push into quantum computing and what it signals about the next phase of national computing competition. From jobs and infrastructure to quantum competition, today’s show is about where the AI boom is meeting real-world constraints.

29. mai 202645 min
episode Techstrong Gang - 5/28/2026 cover

Techstrong Gang - 5/28/2026

Mike Vizard, Jon Swartz, Fred Wilmot and Gina Rosenthal break down three stories shaping the next phase of AI infrastructure, public resistance and model safety. The first segment, IBM and Red Hat are bringing together what they’ve learned from frontier AI models and 20,000 engineers to launch Project Lightwell, a $5 billion initiative aimed at helping enterprises better secure their open source software. The second segment, NVIDIA Corp. CEO Jensen Huang announced on Wednesday that the artificial intelligence (AI) chip giant plans to ramp up its annual spending in Taiwan to about $150 billion. The final segment, Open Source AI Oops, examines reports that free software can strip guardrails from open AI models from major players like Meta and Google. The bigger issue is whether open access is colliding with safety in ways the industry still is not ready to manage. From AI geopolitics to local resistance to model safety, today’s show is about where the AI boom is running into real-world consequences.

28. mai 202647 min