✳flâneur — a map of the web's best reading
AGI is an Engineering Problem - by Jason Hausenloy
inferencemagazine.substack.com · 3,674 words · saved by 1 readers
Until this decade, artificial general intelligence was a scientific problem.
AGI is an Engineering Problem Jason Hausenloy Jan 17, 2025 23 2 Share Until this decade, artificial general intelligence was a scientific problem. The main ideas to build it were missing. In 1999, Shane Legg (cofounder of Google DeepMind), predicted we’d build AGI in 2028 based on extrapolations of compute power trends. His prescience on reinforcement learning is remarkable, but the vision was necessarily fuzzy. This is no longer the case. Sam Altman announced recently: We are now confident we know how to build AGI as we have traditionally understood it...[w]e are beginning to turn our aim bey
Explore this link on the map →related reading
- AI 2027ai-2027.com
- AI 2027ai-2027.com
- Andrej Karpathy — AGI is still a decade awaydwarkesh.com
- Artificial General Intelligence Is Already Herenoemamag.com
- Why Tool AIs Want to Be Agent AIs · Gwern.netgwern.net
- The Era of Experience Paper.pdfstorage.googleapis.com
- Clarifying and predicting AGI — LessWronglesswrong.com
- 2023 letter | Zhengdongzhengdongwang.com
- AI in 2025: gestalt — LessWronglesswrong.com
- Building Effective AI Agents \ Anthropicanthropic.com
- Artificial General Intelligence Is Already Herenoemamag.com
- Cyborgism — LessWronglesswrong.com