AI's Eras Tour: Performance, Trust, and Legitimacy
Mar 22, 2024
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Tom and Nate discuss Nvidia GTC, lack of trust in AI, taxonomies governing AI, safety institutes, reward model benchmarks, and the role of government agencies in AI policy. They also talk about the shift from performance to trust in AI evaluation, the importance of accreditation for legitimacy, Grok's open source release impact, and responsibility in AI and social media platforms.
Focusing on the nuances of openness in AI by defining disclosure, accessibility, and availability is crucial for clarity.
Standardization of evaluation mechanisms for AI reward models is essential to bridge the gap in assessing performance and trustworthiness.
Deep dives
The Importance of Clarity in Defining Openness in AI
Defining openness in AI, a crucial value, into disclosure, accessibility, and availability is a significant step towards clarity. While grok recently 'opened up,' more focus is needed on understanding the nuances of what openness truly means in the AI landscape.
Necessity of Rigorous Evaluation Standards for AI Models
The lack of disclosure and accessibility among reward models underscores the urgent need for more standardized evaluation mechanisms. With only a handful of models meeting key criteria, there is a clear gap in evaluating the performance and trustworthiness of AI systems.
The Transition Towards Legitimate AI Authority
As the AI landscape evolves, the shift towards legitimacy and trustworthiness becomes paramount. Establishing a reliable system of accrediting AI institutions and models is crucial for fostering accountability and transparency.
Confronting the Abyss of AGI and AI Responsibility
The looming complexities of AGI and AI responsibility highlight the urgent need for clear definitions and frameworks around intelligence and agency. As AI advancements accelerate, addressing fundamental questions around intelligence and responsibility becomes increasingly critical for navigating the evolving AI landscape.
Tom and Nate catch up on the ridiculous of Nvidia GTC, the lack of trust in AI, and some important taxonomies and politics around governing AI. Safety institutes, reward model benchmarks, Nathan's bad joke delivery, and all the normal good stuff in this episode! Yes, we're also sick of the Taylor Swift jokes, but they get the clicks.
The Taylor moment: https://twitter.com/DrJimFan/status/1769817948930072930
00:00 Intros and discussion on NVIDIA's influence in AI and the Bay Area 09:08 Mustafa Suleyman's new role and discussion on AI safety 11:31 The shift from performance to trust in AI evaluation 17:31 The role of government agencies in AI policy and regulation 24:07 The role of accreditation in establishing legitimacy and trust 32:11 Grok's open source release and its impact on the AI community 39:34 Responsibility and accountability in AI and social media platforms
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