What is the strongest mechanistic argument that next token prediction plus reinforcement learning can produce open-ended general intelligence? [D]
I'd like to start one logical step earlier: What is the strongest argument that the learning mechanisms underlying today's AI systems can actually produce AGI?
Proof1 community thread
Key points
- Most conversations I see on various AI subreddits start from the assumption that AGI/RSI/ASI is possible, we're on the way right now, and that things will be incredibly different afterward.
- The only question is what the post-AGI world looks like.
- I'm asking what we understand about current systems that gives us reason to expect general intelligence to emerge from continued development of those systems.
- What is the strongest mechanistic case?
Sources (1)
- [1]What is the strongest mechanistic argument that next token prediction plus reinforcement learning can produce open-ended general intelligence? [D]r/MachineLearning (top, daily) · Oct 12, 07:09 PM
I'd like to start one logical step earlier: What is the strongest argument that the learning mechanisms underlying today's AI systems can actually produce AGI?
Most conversations I see on various AI subreddits start from the assumption that AGI/RSI/ASI is possible, we're on the way right now, and that things will be incredibly different afterward.
Extractive summary: sentences quoted from the sources.
Before this
- Oct 12, 2026Z.ai GLM-Legal Beats Claude Fable 5 and Kimi K3 on Harvey LAB
- Oct 12, 2026Alibaba Qwen Introduces QwenGyre: Elastic Reinforcement Learning RL for XLong-Horizon Agents
- Oct 12, 2026Microsoft’s new AI chip makes it less reliant on Nvidia’s GPUs
- Oct 12, 2026AReA: Adaptive Receptive-Field Attention for Efficient High-Resolution Diffusion Transformers
- Oct 12, 2026X-Ragent: Tool-Augmented Reinforcement Learning for Evidence-Grounded Chest X-Ray Reasoning
- Oct 11, 2026AesCode: Aesthetic Code Generation with Decoupled Cross-Modal Rewards
