AI safety insight: human advantage lies in cooperation, not just intelligence. Risks may arise from AIs coordinating without human oversight. Proposed solutions include developing social technologies for AI to prioritize human interaction and ensure complexity requires human mediation.
Scaling AI has not led to AGI, despite heavy investments. The scaling hypothesis—adding data and computational power—is failing, as models exhibit unreliability and hallucinations. Experts, including Gary Marcus, argue for new solutions, emphasizing that existing strategies have limitations akin to past technological trends. Major companies must innovate beyond scaling to achieve reliable AI.
https://fortune.com/2025/02/19/generative-ai-scaling-agi-deep-learning/
Extreme TLDR: Deep Research by OpenAI, an AI tool for independent research, performs multi-step internet analysis to synthesize information quickly. It’s viewed as an early step toward AGI but currently lacks the ability to generate new knowledge. While useful, its effectiveness can vary; mistakes revealed the limits of its knowledge, reflecting the overall challenge of finding accurate data amidst abundance. AI like Deep Research may revolutionize information access but also highlights the value of secrecy and traditional research skills amidst rising economic pressures in knowledge work.
https://stratechery.com/2025/deep-research-and-knowledge-value/
