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ARC Prize v2 Launch! (Francois Chollet and Mike Knoop)
Manage episode 473109604 series 2803422
We are joined by Francois Chollet and Mike Knoop, to launch the new version of the ARC prize! In version 2, the challenges have been calibrated with humans such that at least 2 humans could solve each task in a reasonable task, but also adversarially selected so that frontier reasoning models can't solve them. The best LLMs today get negligible performance on this challenge.
https://arcprize.org/
SPONSOR MESSAGES:
***
Tufa AI Labs is a brand new research lab in Zurich started by Benjamin Crouzier focussed on o-series style reasoning and AGI. They are hiring a Chief Engineer and ML engineers. Events in Zurich.
Goto https://tufalabs.ai/
***
TRANSCRIPT:
https://www.dropbox.com/scl/fi/0v9o8xcpppdwnkntj59oi/ARCv2.pdf?rlkey=luqb6f141976vra6zdtptv5uj&dl=0
TOC:
1. ARC v2 Core Design & Objectives
[00:00:00] 1.1 ARC v2 Launch and Benchmark Architecture
[00:03:16] 1.2 Test-Time Optimization and AGI Assessment
[00:06:24] 1.3 Human-AI Capability Analysis
[00:13:02] 1.4 OpenAI o3 Initial Performance Results
2. ARC Technical Evolution
[00:17:20] 2.1 ARC-v1 to ARC-v2 Design Improvements
[00:21:12] 2.2 Human Validation Methodology
[00:26:05] 2.3 Task Design and Gaming Prevention
[00:29:11] 2.4 Intelligence Measurement Framework
3. O3 Performance & Future Challenges
[00:38:50] 3.1 O3 Comprehensive Performance Analysis
[00:43:40] 3.2 System Limitations and Failure Modes
[00:49:30] 3.3 Program Synthesis Applications
[00:53:00] 3.4 Future Development Roadmap
REFS:
[00:00:15] On the Measure of Intelligence, François Chollet
https://arxiv.org/abs/1911.01547
[00:06:45] ARC Prize Foundation, François Chollet, Mike Knoop
https://arcprize.org/
[00:12:50] OpenAI o3 model performance on ARC v1, ARC Prize Team
https://arcprize.org/blog/oai-o3-pub-breakthrough
[00:18:30] Chain-of-Thought Prompting Elicits Reasoning in Large Language Models, Jason Wei et al.
https://arxiv.org/abs/2201.11903
[00:21:45] ARC-v2 benchmark tasks, Mike Knoop
https://arcprize.org/blog/introducing-arc-agi-public-leaderboard
[00:26:05] ARC Prize 2024: Technical Report, Francois Chollet et al.
https://arxiv.org/html/2412.04604v2
[00:32:45] ARC Prize 2024 Technical Report, Francois Chollet, Mike Knoop, Gregory Kamradt
https://arxiv.org/abs/2412.04604
[00:48:55] The Bitter Lesson, Rich Sutton
http://www.incompleteideas.net/IncIdeas/BitterLesson.html
[00:53:30] Decoding strategies in neural text generation, Sina Zarrieß
https://www.mdpi.com/2078-2489/12/9/355/pdf
215 tập
Manage episode 473109604 series 2803422
We are joined by Francois Chollet and Mike Knoop, to launch the new version of the ARC prize! In version 2, the challenges have been calibrated with humans such that at least 2 humans could solve each task in a reasonable task, but also adversarially selected so that frontier reasoning models can't solve them. The best LLMs today get negligible performance on this challenge.
https://arcprize.org/
SPONSOR MESSAGES:
***
Tufa AI Labs is a brand new research lab in Zurich started by Benjamin Crouzier focussed on o-series style reasoning and AGI. They are hiring a Chief Engineer and ML engineers. Events in Zurich.
Goto https://tufalabs.ai/
***
TRANSCRIPT:
https://www.dropbox.com/scl/fi/0v9o8xcpppdwnkntj59oi/ARCv2.pdf?rlkey=luqb6f141976vra6zdtptv5uj&dl=0
TOC:
1. ARC v2 Core Design & Objectives
[00:00:00] 1.1 ARC v2 Launch and Benchmark Architecture
[00:03:16] 1.2 Test-Time Optimization and AGI Assessment
[00:06:24] 1.3 Human-AI Capability Analysis
[00:13:02] 1.4 OpenAI o3 Initial Performance Results
2. ARC Technical Evolution
[00:17:20] 2.1 ARC-v1 to ARC-v2 Design Improvements
[00:21:12] 2.2 Human Validation Methodology
[00:26:05] 2.3 Task Design and Gaming Prevention
[00:29:11] 2.4 Intelligence Measurement Framework
3. O3 Performance & Future Challenges
[00:38:50] 3.1 O3 Comprehensive Performance Analysis
[00:43:40] 3.2 System Limitations and Failure Modes
[00:49:30] 3.3 Program Synthesis Applications
[00:53:00] 3.4 Future Development Roadmap
REFS:
[00:00:15] On the Measure of Intelligence, François Chollet
https://arxiv.org/abs/1911.01547
[00:06:45] ARC Prize Foundation, François Chollet, Mike Knoop
https://arcprize.org/
[00:12:50] OpenAI o3 model performance on ARC v1, ARC Prize Team
https://arcprize.org/blog/oai-o3-pub-breakthrough
[00:18:30] Chain-of-Thought Prompting Elicits Reasoning in Large Language Models, Jason Wei et al.
https://arxiv.org/abs/2201.11903
[00:21:45] ARC-v2 benchmark tasks, Mike Knoop
https://arcprize.org/blog/introducing-arc-agi-public-leaderboard
[00:26:05] ARC Prize 2024: Technical Report, Francois Chollet et al.
https://arxiv.org/html/2412.04604v2
[00:32:45] ARC Prize 2024 Technical Report, Francois Chollet, Mike Knoop, Gregory Kamradt
https://arxiv.org/abs/2412.04604
[00:48:55] The Bitter Lesson, Rich Sutton
http://www.incompleteideas.net/IncIdeas/BitterLesson.html
[00:53:30] Decoding strategies in neural text generation, Sina Zarrieß
https://www.mdpi.com/2078-2489/12/9/355/pdf
215 tập
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