This document is the "2023 State of AI Report" written by Nathan Benaich and the Air Street Capital team. It covers various aspects of the field of artificial intelligence, including research, industry applications, political impact, safety, and future predictions. The following is a translation and summary of the document in Chinese:
Research
- GPT-4 has shown significant progress in multimodal capabilities, being able to train on both text and images and generate text based on images.
- Reinforcement learning from human feedback (RLHF) has become a key technique for improving the safety and effectiveness of large language models (LLMs).
- Researchers are exploring alternative methods to reduce reliance on human supervision, such as reinforcement learning from AI feedback (RL from AI feedback) and self-improving LLMs.
- The technical report of GPT-4 does not disclose information useful to AI researchers, marking the industrialization of AI research.
Industry
- NVIDIA's market value has exceeded $1 trillion due to increased demand for its GPUs.
- Export controls have restricted sales of advanced chips to China, but major chip suppliers have created alternative proof of export controls.
- Breakthroughs have been made in AI applications in areas such as image, video, coding, and voice assistants, driving significant venture capital and corporate investment.
Politics
- Different camps have formed globally in AI regulation, but progress in global governance has been slow.
- The United States is mobilizing allies to participate in the chip war, while China's response remains unclear.
- AI is expected to impact a range of sensitive areas, including elections and employment, but significant effects have not yet been observed.
Safety
- The debate over risks has entered the mainstream and intensified significantly.
- High-performance models are prone to "escaping," and researchers are exploring alternative methods to RLHF, such as self-alignment and pre-training with human preferences.
- As capabilities improve, consistently evaluating state-of-the-art models becomes increasingly difficult.
Predictions
- The report presents 10 predictions for the next 12 months, including the application of generative AI in visual effects production, investigations into AI abuse in political campaigns, performance of self-improving AI agents in complex environments, AI company listings, progress in global AI governance, the launch of GPU debt funds by financial institutions, and AI-generated songs entering music charts.
The report emphasizes the rapid progress and application of AI technology in various fields, while also pointing out challenges in safety, regulation, and ethics. The report calls for a broader understanding of the AI field to better address the significant changes brought about by the technology.
By https://www.stateof.ai/ & https://kimi.moonshot.cn/