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cover of episode Greg Kamradt: Benchmarking Intelligence | ARC Prize

Greg Kamradt: Benchmarking Intelligence | ARC Prize

2025/6/24
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Greg Kamradt: 我认为加速通用人工智能（AGI）的进展至关重要，因为我相信AGI将是人类有史以来最伟大的技术之一。为了实现这一目标，我们选择通过基准测试来推动AGI的发展。这个基准测试由Francois Chollet在2019年创建，旨在评估AI在解决人类容易但AI难以解决的问题上的能力。我们关注这类问题是因为人类大脑是目前我们所知的唯一通用智能的实例。我们对AGI的定义是，当我们无法再提出人类可以解决但AI无法解决的问题时，我们就实现了AGI。为了验证这一点，我们推出了ArcAGI 2，并对400人进行了测试，以确保人类能够解决这些任务，而AI仍然不能。因此，我们认为，理解人类大脑的工作方式以及人类智能与AI之间的差距，是通往AGI的快速通道。通过专注于填补这些差距，我们可以更快地实现AGI的目标。我坚信，通过持续的努力和创新，我们最终将能够创造出真正具有通用智能的机器，从而为人类社会带来巨大的利益。

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Greg Kamradt discusses the Arc AGI benchmark, which focuses on problems easy for humans but hard for AI. The goal is to identify the gap between human and artificial intelligence, using human performance as a benchmark for AGI.
  • Arc AGI benchmark focuses on human-easy, AI-hard problems.
  • Human brain is the only proof point of general intelligence.
  • Arc AGI 1 and 2 are unsolved by AI, but solvable by humans.
  • A capable human, not a PhD or toddler, is the benchmark for human performance.

Shownotes Transcript

What makes a good AI benchmark? Greg Kamradt joins Demetrios to break it down—from human-easy, AI-hard puzzles to wild new games that test how fast models can truly learn. They talk hidden datasets, compute tradeoffs, and why benchmarks might be our best bet for tracking progress toward AGI. It’s nerdy, strategic, and surprisingly philosophical.

// Bio

Greg has mentored thousands of developers and founders, empowering them to build AI-centric applications.By crafting tutorial-based content, Greg aims to guide everyone from seasoned builders to ambitious indie hackers.Greg partners with companies during their product launches, feature enhancements, and funding rounds. His objective is to cultivate not just awareness, but also a practical understanding of how to optimally utilize a company's tools.He previously led Growth @ Salesforce for Sales & Service Clouds in addition to being early on at Digits, a FinTech Series-C company.

// Related Links

Website: https://gregkamradt.com/

YouTube channel: https://www.youtube.com/@DataIndependent






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Connect with Demetrios on LinkedIn: /dpbrinkm

Connect with Greg on LinkedIn: /gregkamradt/





Timestamps:





[00:00] Human-Easy, AI-Hard

[05:25] When the Model Shocks Everyone

[06:39] “Let’s Circle Back on That Benchmark…”

[09:50] Want Better AI? Pay the Compute Bill

[14:10] Can We Define Intelligence by How Fast You Learn?

[16:42] Still Waiting on That Algorithmic Breakthrough

[20:00] LangChain Was Just the Beginning

[24:23] Start With Humans, End With AGI

[29:01] What If Reality’s Just... What It Seems?

[32:21] AI Needs Fewer Vibes, More Predictions

[36:02] Defining Intelligence (No Pressure)

[36:41] AI Building AI? Yep, We're Going There

[40:13] Open Source vs. Prize Money Drama

[43:05] Architecting the ARC Challenge

[46:38] Agent 57 and the Atari Gauntlet