This document is the "2023 State of AI Report" (State of AI Report 2023), written by Nathan Benaich and the Air Street Capital team, covering various aspects of research, industry applications, political impact, safety, and future predictions in the field of artificial intelligence. The following is the Chinese translation and summary of the document:
Research
- GPT-4 demonstrates significant progress in multimodal capabilities, being able to be trained on both text and images and generate text based on images.
- Reinforcement learning from human feedback (RLHF) becomes a key technique to improve 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 surpasses $1 trillion due to increased demand for its GPUs.
- Export controls restrict sales of advanced chips to China, but major chip suppliers have created alternative proof of export controls.
- Breakthroughs in AI applications in areas such as image, video, coding, and voice assistants have driven significant venture capital and corporate investments.
Politics
- Different camps have formed globally regarding AI regulation, but global governance progress is slow.
- The United States is mobilizing allies 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 impacts have not yet been observed.
Safety
- The debate on risks enters the mainstream for the first time and intensifies 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 challenging.
Predictions
- The report presents 10 predictions for the next 12 months, including the application of generative AI in visual effects production, investigation of AI abuse in political campaigns, performance of self-improving AI agents in complex environments, AI company IPOs, 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 multiple 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/