cover of episode No, Apple's New AI Paper Doesn't Undermine Reasoning Models

No, Apple's New AI Paper Doesn't Undermine Reasoning Models

2025/6/10
logo of podcast The AI Daily Brief (Formerly The AI Breakdown): Artificial Intelligence News and Analysis

The AI Daily Brief (Formerly The AI Breakdown): Artificial Intelligence News and Analysis

AI Deep Dive AI Chapters Transcript
People
A
Andrew Choi
A
Andrew White
A
Azim Azhar
F
Francois Chalet
G
Gary Marcus
一位批评当前人工智能研究方向的认知科学家和名誉教授。
H
Henry Arith McQuine
J
Josh Gans
K
Kat Woods
K
Kevin Bryan
K
Kevin Roos
L
Linus Ekenstam
L
Lisan Al-Gaib
M
Mark Gurman
M
Matthew Berman
N
Nathan Snell
N
Nathaniel
P
Pliny the Liberator
R
Ruben Haseed
Topics
Nathaniel: 苹果在WWDC上的人工智能战略缺失,但其发布的关于推理模型局限性的论文值得讨论。我认为苹果的目标是为普通用户提供实用的人工智能,而不是复杂的技术。然而,苹果在人工智能的执行方面存在问题,进展缓慢。WWDC上没有重大的人工智能发布,现有功能更新也不够吸引人。即使O3不是真正的推理,它仍然可以在商业上发挥重要作用。工具是否进行思考或推理并不重要,重要的是它能提供多大的帮助。 Linus Ekenstam: 我觉得苹果公司迷失了方向,需要回归本源。苹果的新设计语言令人困惑,用户体验不佳。苹果公司需要彻底变革才能扭转局面,目前的WWDC令人失望。 Mark Gurman: 我认为WWDC在设备集成和生产力功能方面表现出色,但在人工智能方面缺乏创新。 Azim Azhar: 我质疑没有人工智能功能的WWDC是否还能称得上优秀? Andrew Choi: 我认为苹果在人工智能领域的落后是一个潜在的生存风险。 Ruben Haseed: 苹果的论文证明,人工智能推理模型并不真正进行推理,而只是记忆模式。 Henry Arith McQuine: 苹果在人工智能竞赛中落后,并发布论文质疑人工智能的重要性。 Pliny the Liberator: 在Siri改进之前,我不信任苹果发布的人工智能研究论文。 Andrew White: 苹果的人工智能研究人员对大型语言模型持怀疑态度,并发布多篇论文论证其局限性。 Gary Marcus: 我认为大型语言模型无法直接实现能够根本改变社会的通用人工智能。 Kat Woods: 人们常常只看论文标题就以为理解了研究结果,苹果的论文并非否定大型语言模型的推理能力。 Lisan Al-Gaib: 我认为模型是因为token限制才无法完成任务,而不是推理能力不足。模型实际上以纯文本和代码的形式背诵了算法。 Matthew Berman: 我认为模型编写代码的能力极大地改变了解题能力。 Kevin Bryan: 苹果的论文实际上是在测量推理的自我施加限制,而不是推理本身。性能会随着推理token的增加而严格提高。 Nathan Snell: 大型语言模型具有有限的推理能力,但这并不影响其价值。我对苹果公司发布的人工智能相关研究持怀疑态度。 Francois Chalet: 我认为推理和模式匹配之间存在根本差距,影响了系统的实际能力和行为。我们关注推理是因为它能够实现自主获取新领域技能,而不仅仅是模仿现有技能。 Josh Gans: 我认为推理模型在企业和学术界发挥着重要作用,并且正如人们所期望的那样工作。 Kevin Roos: 有一种人工智能怀疑论认为,现在仍然是2021年,没有人可以真正使用这些工具。

Deep Dive

Chapters
Apple's WWDC2024 lacked significant AI advancements, disappointing expectations. Criticisms focused on the absence of compelling AI features, Siri's shortcomings, and a poorly-received UI redesign. Investors express concern about Apple's lagging AI strategy.
  • Lack of significant AI announcements at WWDC.
  • Criticism of Siri's performance and the new iOS UI.
  • Investor concerns about Apple's AI strategy as an existential risk.

Shownotes Transcript

Apple’s latest AI research paper, "The Illusion of Thinking," argues that large language models aren't genuinely reasoning but just pattern-matching. But does it even matter? Today, Nathaniel breaks down the controversy, debunks some misleading conclusions about reasoning limits, and explains why the business world cares less about semantics and more about capabilities. Whether it's "real reasoning" or not, these tools are transforming work—and Apple's academic skepticism doesn't change that.

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