The ongoing debate surrounding the timeline for achieving human-level artificial intelligence (AI) remains contentious, with Jacob Aron singling out Kevin Roose's book, *The AGI Chronicles*, as a must-read for anyone interested in this rapidly evolving field.
The surge of interest in AI really began with the release of ChatGPT in 2022, a pivotal moment that enabled anyone with internet access to engage in meaningful conversations with a computer. While research efforts on large language models (LLMs) had been underway for years, it was this breakthrough that marked the true beginning of the current AI renaissance.
Reflecting on the swift advances we've witnessed, Roose's *The AGI Chronicles* offers a comprehensive overview, tracing the evolution of AI from the inception of OpenAI to contemporary developments. Within its pages, readers will encounter familiar figures like Sam Altman, Elon Musk, and Demis Hassabis, alongside several lesser-known contributors who have been instrumental in shaping the AI landscape.
Roose draws a parallel between the quest for artificial general intelligence (AGI) and the Manhattan Project, arguing that the stakes are similarly high. However, he notes a significant shift: today’s progress is largely spearheaded by private enterprises rather than government-led initiatives, creating challenges for documentation. His extensive interviews with over 150 insiders from organizations such as OpenAI, Anthropic, and Google DeepMind provide valuable insights and contribute to the depth of his narrative.
It's worth noting that Roose aligns himself with the belief that AGI is imminent, a notion he encapsulates with the term "AGI-pilled." This perspective may influence his interpretation of events, particularly in the conclusion of the book, where he asserts that AGI might already be present if one revises their understanding of what AGI entails.
Nevertheless, *The AGI Chronicles* remains an engaging historical account, detailing the formation of OpenAI in response to concerns over DeepMind's potential to reach AGI first, as well as the resulting schisms that led to Musk's departure and the founding of Anthropic, which prioritized safety in AI development.
Roose also delves into the evolution of the AI safety movement, shedding light on the paradox of AI leaders simultaneously expressing concerns about the technology's potential dangers while simultaneously soliciting vast investments to advance its capabilities. While there are overlaps with Parmy Olson's *Supremacy*, Roose's superior access to key players offers a different angle, making both books worthwhile complements in understanding this complex narrative.
On the technical side, Roose's exploration of the intricate workings of LLMs and the significant breakthroughs of the past decade adds another dimension to his work. He strikes a balance between historical context and technical analysis, making the book an informative primer without descending into tedious textbook territory.
Roose impressively navigates this swiftly changing domain, bringing readers up to speed with developments as recent as early 2026, when AI tools started to become adept at writing code and enhancing their own capabilities. While he misses discussing certain developments, such as AI’s advancement in mathematics and the Hugging Face hacking incident from earlier this year, his timely insights capture the fast-paced momentum of modern AI.
