// curated_library
Seminal papers, key talks, and essential videos from the people shaping how we think about intelligence, mind and machines — filtered for signal, not noise.
The Adolescence of Technology
Anthropic's CEO on the stretch he thinks we are living through: capability arriving faster than the institutions meant to hold it. He organises the danger into four kinds — systems that behave in ways nobody intended, individuals enabled to cause mass casualties, states using AI to entrench power permanently, and labour displacement outrunning the economy's ability to absorb it — and pairs each with specific mitigations rather than letting the alarm stand alone. Worth reading as much for its position as its argument: it is written by someone with a direct commercial interest in continuing to build what he is warning about, and it insists throughout that the bad outcomes are contingent rather than fated.
Machines of Loving Grace
Amodei's long-form vision of how transformative AI could compress decades of scientific progress into a few years — covering biology, neuroscience, mental health, economic development and more. Essential reading on AI's potential upside.
On the Importance of AI Safety Research
Anthropic's CEO on why safety and capability research must proceed together, not in sequence. The clearest articulation of the 'race to the top' philosophy from inside the frontier lab.
Planning for AGI and Beyond
OpenAI's CEO lays out the organisation's transition plan for when AGI arrives — governance structures, iterative deployment, and why 'slow is impossible'. Candid and worth reading critically.
The Intelligence Age
Altman's argument that we're entering a new era of human prosperity driven by AI tools accessible to everyone — optimistic, controversial, and impossible to ignore.
Software 2.0
Karpathy's prescient argument that neural networks are not just a tool but a new programming paradigm — one where the programmer specifies desired behaviour, not explicit logic. Reads even better today.