What will GPT-2030 look like?
GPT-4 surprised many people with its abilities at coding, creative brainstorming, letter-writing, and other skills. How can we be less surprised by developments in machine learning? In this post, I’ll forecast the properties of large pretrained ML systems in 2030.
GPT-4 surprised many people with its abilities at coding, creative brainstorming, letter-writing, and other skills. Surprises in machine learning are not restricted to GPT-4: I was previously surprised by Minerva’s mathematical abilities, as were many competitive forecasters. How can we be less surprised by developments in machine learning? Our brains often implicitly make a zeroth-order forecast : looking at the current state of the art, and adding on improvements that “feel reasonable”. But what “seems reasonable” is prone to cognitive bias, and will underestimate progress in a fast-moving f
related reading
- What will GPT-2030 look like? — AI Alignment Forumalignmentforum.org
- I. From GPT-4 to AGI: Counting the OOMs - SITUATIONAL AWARENESSsituational-awareness.ai
- The Scaling Hypothesis · Gwern.netgwern.net
- My picture of the present in AI — LessWronglesswrong.com
- AI progress is about to speed up | Epoch AIepoch.ai
- gpt-4.pdfcdn.openai.com
- GPT-4openai.com
- The upcoming GPT-3 moment for RL | Mechanize, Inc.mechanize.work
- AI in 2025: gestalt — LessWronglesswrong.com
- Scaling: The State of Play in AIoneusefulthing.org
- Why didn't we get GPT-2 in 2005?dynomight.net
- Will scaling work?dwarkeshpatel.com