Wait…9:52 “Humans are going to be smarter in AI.”??
TheAIGRID
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43 Comments
wow this is it... April 17 2024 marks the date when AI is smarter than humans in some areas
Via Gemini:
Here is a list of the talking points covered in the video, in greater detail:
1. AI Index Report: This report tracks and visualizes data related to AI, aiming to p     See More
Thanks very much for your channel mate! Appreciate your contribution.
Can AI finally turn your 37 minutes of talking into a couple minutes of to-the-point content?
Repent of your sins or suffer the consequences. Lord Jesus died in our places personally     See More
Though the large language models are biased toward the Democrats, we can’t ask them to be ethical, intelligent, and aligned with Republicans.
We dont want govt involved. More they are the slower it all become and less likely will our current society change. They are interested in keeping things the same.
Please, you are talking too fast, I love your content, but you speak so fast it becomes tiring, and I can hear you need to catch your breath.
Huge thank you for adding time stamps. Greatly appreciated and feel heard.
Wait…9:52 “Humans are going to be smarter in AI.”??     See Less
doom is nearby     See Less
wow this is it... April 17 2024 marks the date when AI is smarter than humans in some areas     See Less
Via Gemini:
Here is a list of the talking points covered in the video, in greater detail:
1. AI Index Report: This report tracks and visualizes data related to AI, aiming to p     See More iased information for policymakers, researchers, and the general public. The video covers 10 sections of the report.
2. Industry Dominates Frontier AI Research: In 2023, industry produced more notable machine learning models (51) than academia (15), with a trend of increasing industry dominance. The speaker expresses concerns about the potential negative consequences of private companies leading the way in AI research.
3. Open-Source AI is Increasing: There is a significant increase in open-source foundation models (149 in 2023, double the amount in 2022). This trend might be impacted by future regulations on open-source systems.
4. Training Cost of AI Models: The video estimates the training cost of various models. For instance, GPT-4’s training cost is estimated at $78 million, which is less than expected. The speaker finds this interesting because closed-source models tend to be state-of-the-art.
5. Leading Countries in AI Research: The United States is the leader in AI research, followed by China, France, and Germany. The speaker wonders if this trend will continue, considering factors like potential regulations and investments in other countries.
6. AI Patents Are Increasing: There has been a significant increase (62%) in the number of AI patents granted worldwide, indicating a rise in AI investment.
7. Multimodal AI Advancements: Recent advancements have led to the development of strong multimodal models that can handle various data types, like text, image, audio (e.g., Google’s Gemini 1.5 Pro). The performance of these models on multimodal benchmarks has significantly improved, reaching a human baseline of 9.04% on the MMLU benchmark.
8. New Challenging Benchmarks for AI: As AI models reach performance saturation on established benchmarks, new challenging benchmarks are emerging to assess their capabilities. The video mentions the SWE bench for coding, Heim for image generation, MMu for general reasoning, Mocker for moral reasoning, and the Agent Bench for agent-based behavior.
9. Human Evaluation of AI: The video discusses the LMS chatbot arena for LLMs, which uses human evaluation (e.g., ELO rating) to assess AI models. GPT-4 Turbo is currently leading in this area. This type of evaluation is valuable because it considers user experience, not just performance on specific tests.
10. Impact of AI on Robotics: LLMs are being integrated with robotics, resulting in more flexible robotic systems like Palm-E and RT2. These models can also scrape content from the internet and potentially be used to create misinformation campaigns.
11. Responsible AI: The video mentions the importance of responsible AI development and discusses potential biases in AI systems. It emphasizes the need for unbiased AI models to avoid influencing users’ political views.
12. Impact of AI on the Economy: The video discusses the economic impact of AI, including potential job displacement and the need for policies to address these concerns. Investment in generative AI is rapidly growing, with some concerns about a potential bubble.
13. Public Perception of AI: The video presents a survey that shows that while 60% of people have heard of ChatGPT, there is still a significant portion of the population that is unaware of AI advancements.    See Less
Thanks very much for your channel mate! Appreciate your contribution.     See Less
Can AI finally turn your 37 minutes of talking into a couple minutes of to-the-point content?
Repent of your sins or suffer the consequences. Lord Jesus died in our places personally     See More e death punishment that sin deserves and then resurrected by the power of God. Believe this and sincerely repent of your sins each time you sin and you will have eternal life and nothing to fear. Fail to repent and you will end up in the Lake of Fire.    See Less
Though the large language models are biased toward the Democrats, we can’t ask them to be ethical, intelligent, and aligned with Republicans.     See Less
We dont want govt involved. More they are the slower it all become and less likely will our current society change. They are interested in keeping things the same.     See Less
Please, you are talking too fast, I love your content, but you speak so fast it becomes tiring, and I can hear you need to catch your breath.     See Less
Huge thank you for adding time stamps. Greatly appreciated and feel heard.     See Less