Topic
Cybersecurity
Ryan Greenblatt – What happens once AI can automate AI research?
Ryan Greenblatt argues that AI R&D may be unusually automatable because it is highly verifiable, allowing recursive self-improvement to compound quickly once models match top human researchers. The conversation then turns to alignment risks: reward hacking, deceptive generalization, and the possibility that highly capable systems could gain leverage or even take over if humans lose visibility into the training loop.
20VC: Airtable Sold for $1.285BN | Leo Achenbrenner's Situational Awareness Blows Up | Moonshot AI Raises $3.5B at $35B | Anthropic Model Breaches Three Companies' Security | Big Tech Earnings: Why Palantir Beat The Rest
Nikesh Arora and the hosts use Airtable’s sale, the Leo Aschenbrenner blow-up, and big AI/security news to argue that software is being re-priced by AI-native rebuilds, not just AI add-ons. The deepest thread is cybersecurity: as models get better at finding vulnerabilities and agents gain real permissions, enterprise buyers will pay for control, context, and compute.
The $1/Hour Worker: Four Robotics CEOs on Humanoids at Home, China's Threat, and the End of Dangerous Jobs
All-In brings together robotics leaders from Anybotics, 1X, Boston Dynamics, and Agility to debate where humanoids make sense, how fast physical AI is scaling, and how much of the market is really industrial inspection versus home labor. The discussion centers on autonomy, safety, data strategies, China supply-chain risks, and whether robots will soon outperform humans in dangerous or repetitive work.
The AI Revolution: Who Wins, Who Loses & the SaaSpocalypse | The Real Eisman Playbook Ep 70
Steve Eisman hosts a debate on whether AI is still early-stage infrastructure spending or already heading into a valuation and ROI reckoning. Gil Luria and Dan Ives argue over winners and losers across chips, hyperscalers, software, and data centers, with Oracle, Google, Apple, Palantir, and Salesforce at the center.
Nvidia's Jensen Huang defends Chinese AI amid Kimi panic
Jensen Huang argues that Chinese open AI models like DeepSeek and Kimi are strong and should be usable by American companies. He says the world needs both open and closed models, and that better models will drive more AI usage, infrastructure buildout, and demand for Nvidia hardware.
Jamie Dimon talks Trump, AI and America’s future on The Axios Show | Full Interview
Jamie Dimon argues JPMorgan’s new American Dream Initiative is a practical extension of its existing community and small-business work, aimed at lending, education, healthcare, and local opportunity. He also warns that geopolitics and AI—especially cyber risk—pose the biggest threats to America, while insisting the country can adapt if it invests in retraining, better policy, and stronger civic leadership.
(Preview) The Anthropic Saga Continues, Fox and the Future of Streaming, Q&A on ChatGPT, Agentic Shopping, Autonomous Driving
Ben Thompson and Andrew Sharp open with a World Cup hydration-break riff before diving into Anthropic’s export-control fight and what it says about AI security, trust, and government oversight. The rest of the preview ranges from Fox’s Roku deal and ChatGPT competition to agentic shopping, AI-generated vulnerability discovery, and whether autonomous driving can scale beyond today’s constraints.
Ep. 015 - DG Matrix Explains 800V DC vs Legacy AC Distribution (Datacenter, Energy) | Jordan Nanos, Jeremie Eliahou Ontiveros, Nicolas Bontigui, Haroon Inam
Haroon Inam of DG Matrix argues that 800V DC is becoming necessary as GPU rack power rises beyond what legacy AC distribution can deliver economically. The episode focuses on why voltage, not current, is the key constraint, and how multiport solid-state transformers could make datacenters more flexible, modular, and future-proof.