State of AI Report
The sixth annual State of AI Report was released last week. It’s the definitive VC view on AI research, industry, safety, politics, and predictions for the coming year.
The sixth annual State of AI Report was released last week. It’s the definitive VC view on AI research, industry, safety, politics, and predictions for the coming year. You can absorb the 150+ detailed slides here or browse my attached 11-page PDF abridgment of the “director’s cut”. The Report does get technical in places, so please reply with relevant questions and requests for definitions and we’ll clarify as best we can in a future newsletter.
Here’s a very brief list of key themes, taken straight from the Report release page:
“GPT-4 is the master of all it surveys (for now), beating every other LLM on both classic benchmarks and exams designed to evaluate humans, validating the power of proprietary architectures and reinforcement learning from human feedback.
LLMs and diffusion models continue to drive real-world breakthroughs, especially in the life sciences, with meaningful steps forward in both molecular biology and drug discovery.
Compute is the new oil, with NVIDIA printing record earnings and startups wielding their GPUs as a competitive edge. As the US tightens its restrictions on trade restrictions on China and mobilizes its allies in the chip wars, NVIDIA, Intel, and AMD have started to sell export-control proof chips at scale.
GenAI saves the VC world, as amid a slump in tech valuations, AI startups focused on generative AI applications (including video, text, and coding), raised over $18 billion from VC and corporate investors.
The safety debate has exploded into the mainstream, prompting action from governments and regulators around the world. However, this flurry of activity conceals profound divisions within the AI community and a lack of concrete progress towards global governance, as governments around the world pursue conflicting approaches.”