Thoughts on AI advances and why the actions of AI labs suggest a worldview in which AI models will continue to perform poorly in terms of generalization and field learning (Dwarkesh Patel/Dwarkesh Podcast)

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Q&A with Google DeepMind’s Director of AGI Economics Alex Imas and Epoch AI’s Phil Trammell on what’s left in short supply after AGI, the redistribution of AI wealth, and more (Dwarkesh Patel/Dwarkesh Podcast)

ASML CEO Christophe Fouquet applauds EU tech sovereignty plans, but says substantial EU involvement in leading ‘strategic projects’ is cause for concern (Toby Sterling/Reuters)

How LinkedIn is transforming into a ‘post-grind’ social network as it courts top influencers, who build audiences on business-friendly topics (Isabella Kwai/New York Times)

in May, hyperscalers’ unsecured bond supply reached $155 billion year-to-date, more than 45% higher than total 2025 issuance; some IA-infra bond sales are 4 times oversubscribed (Caleb Mutua/Bloomberg)

Several British police forces have been asked to stop using AI to prepare court statements, citing fears that inaccurate results could contaminate court proceedings (Robert Wright/Financial Times)

Thoughts on AI advances and why the actions of AI labs suggest a worldview in which AI models will continue to perform poorly in terms of generalization and field learning (Dwarkesh Patel/Dwarkesh Podcast)

Q&A with Google DeepMind’s Director of AGI Economics Alex Imas and Epoch AI’s Phil Trammell on what’s left in short supply after AGI, the redistribution of AI wealth, and more (Dwarkesh Patel/Dwarkesh Podcast)

ASML CEO Christophe Fouquet applauds EU tech sovereignty plans, but says substantial EU involvement in leading ‘strategic projects’ is cause for concern (Toby Sterling/Reuters)

How LinkedIn is transforming into a ‘post-grind’ social network as it courts top influencers, who build audiences on business-friendly topics (Isabella Kwai/New York Times)

Thoughts on AI advances and why the actions of AI labs suggest a worldview in which AI models will continue to perform poorly in terms of generalization and field learning (Dwarkesh Patel/Dwarkesh Podcast)

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