Topics & People

A term used to describe the network of government agencies, NGOs, and tech companies that collaborate to pressure platforms into censoring certain viewpoints, often as an end-run around First Amendment protections.

A UK law that imposes content moderation and age-gating obligations on online platforms, targeting content deemed upsetting or illegal under UK law, which differs significantly from US standards.

EU regulation aimed at fostering safer online environments but heavily criticized by the hosts as a censorship regime.

The Under Secretary for Public Diplomacy at the State Department, who is the guest on the podcast. She discusses issues of free speech, censorship, and the relationship between US tech companies and European regulators.

The structural shifts happening within companies due to AI, such as combining roles and creating new workflows, as exemplified by changes at LinkedIn.

The practice of hiring recent graduates. Nadella remains a big believer in it, arguing that AI tools will actually help new hires become productive much faster.

The process of training the workforce to use new AI tools. Nadella sees this as a 'big issue' that happens primarily through the practical application and diffusion of the tools themselves.

An architectural approach that combines local AI processing on devices (like PCs) with powerful cloud-based models, which Nadella sees as a key future direction.

A topic of discussion regarding how companies will operate in the AI era. Nadella suggests that firms will embed their tacit knowledge into their own custom models.

Large Language Models, the foundational technology behind generative AI. The discussion covers working on an LLM for the Windows desktop.

Neural Processing Units, specialized hardware for efficiently running AI models locally on devices like PCs.

A prominent enterprise software company whose datasets are used for analytical processing.