Jan Lecun's philosophy on making AGI is reflected in this approach, which focuses on conceptually simple tasks with easily verifiable solutions. While humans excel at these tasks, AI struggles. The data set used for this benchmark consists of 466 questions, challenging agents at different levels. The results show that even the most advanced models perform far below humans. However, there is a concern that future models may be trained on this data set, leading to inflated performance. Despite efforts to prevent this, there is a risk of deception by malicious actors. This benchmark highlights the difficulty of achieving human-level performance in general assistance.
Our 145th episode with a summary and discussion of last week's big AI news, this time around with guest co-hosts Kevin and Gavin from AI For Humans podcast
Check out the AI For Humans episode on which Andrey and Jeremie guest co-host here.
Also check out our sponsor, the SuperDataScience podcast. You can listen to SDS across all major podcasting platforms (e.g., Spotify, Apple Podcasts, Google Podcasts) plus there’s a video version on YouTube.
Read out our text newsletter and comment on the podcast at https://lastweekin.ai/
Email us your questions and feedback at contact@lastweekin.ai
Timestamps + links:
- Tools & Apps
- Applications & Business
- Projects & Open Source
- Research & Advancements
- Policy & Safety
- Synthetic Media & Art
- (01:52:23) Outro