Report: Stanford AI Index 2024 – Pulse Check on Gobal Footprint of AI

🚀The new#AI #Index #2024 is out! 🤖🧠 Super cool effort of the#HAI to provide a pulse check on the global footprint of AI. 🌈 Specifically, every year The Stanford University Institute for Human-Centered Artificial Intelligence (HAI) covers essential#trends such as#technical advancements in AI, public#perceptions of the#technology, and the#geopolitical dynamics surrounding its development in its report (393 pages!).
Here are some key takeaways out of it:

👉#AI &#Human: AI beats humans on some tasks, but not on all: AI has surpassed human performance on several benchmarks; yet it trails behind on more complex tasks like competition-level mathematics, visual commonsense reasoning and planning.

👉#Industry &#Research: Industry continues to dominate frontier AI research: 51 notable ML models, while academia contributed only 15; 21 from cross-collaboration

👉#GenAI &#Cost: Frontier AI models get way more expensive: GPT-4 used an estimated $78 million worth of compute to train, while Google’s Gemini Ultra cost $191 million for compute

👉#Global &#Model: The United States (61 models) leads China (15), the EU (21), and the U.K. as the leading source of top AI models.
👉 Robust and standardized evaluations for LLM responsibility are seriously lacking.

👉#AI &#Trustworthiness: Robust and standardized evaluations for LLM responsibility are seriously lacking. Big tech primarily test their models against different responsible AI benchmarks.

👉#GenAI &#Funding: Generative AI investment skyrockets: funding for generative AI surged, nearly octupling from 2022 to reach $25.2 billion.

👉#AI &#Productivity: AI makes workers more productive and leads to higher quality work: several studies assessed AI’s impact on labor, suggesting that AI enables workers to complete tasks more quickly and to improve the quality of their output; without proper oversight can lead to diminished performance

👉#Frontiers &#AI: Scientific progress accelerates even further, thanks to AI – from algorithmic sorting to the process of materials discovery

👉#AI &#Regulations: The number of AI regulations in the United States sharply increases –  the total number of AI-related regulations grew by 56.3%.

Source:
https://lnkd.in/dUz83Py4
https://lnkd.in/dH6ZqjyT

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