Listen "OpenAI Breach 🔒 // Google vs. ChatGPT 🔍 // Test-Time Training Layers 👨🎓"
Episode Synopsis
OpenAI's internal messaging systems were breached last year, and sensitive details about the company's technology were stolen, raising questions about OpenAI's security protocols and how they handle these types of incidents.
Despite the popularity of generative AI chatbots like ChatGPT, Google Search's market dominance is actually growing, which may not bode well with antitrust regulators.
"Learning to (Learn at Test Time): RNNs with Expressive Hidden States" proposes a new class of sequence modeling layers called Test-Time Training (TTT) layers, which have the potential to be a powerful tool for sequence modeling.
"Finding Visual Task Vectors" introduces a technique called visual prompting, which has potential applications in areas such as robotics and autonomous systems, and provides an alternative to traditional supervised learning.
Contact: [email protected]
Timestamps:
00:34 Introduction
01:38 A Hacker Stole OpenAI Secrets
03:05 ChatGPT might rule the AI chatbots — but it can't beat Google Search
04:52 MobileLLM
06:17 Fake sponsor
08:20 Learning to (Learn at Test Time): RNNs with Expressive Hidden States
10:17 Many-Shot In-Context Learning
11:53 Finding Visual Task Vectors
13:38 Outro
Despite the popularity of generative AI chatbots like ChatGPT, Google Search's market dominance is actually growing, which may not bode well with antitrust regulators.
"Learning to (Learn at Test Time): RNNs with Expressive Hidden States" proposes a new class of sequence modeling layers called Test-Time Training (TTT) layers, which have the potential to be a powerful tool for sequence modeling.
"Finding Visual Task Vectors" introduces a technique called visual prompting, which has potential applications in areas such as robotics and autonomous systems, and provides an alternative to traditional supervised learning.
Contact: [email protected]
Timestamps:
00:34 Introduction
01:38 A Hacker Stole OpenAI Secrets
03:05 ChatGPT might rule the AI chatbots — but it can't beat Google Search
04:52 MobileLLM
06:17 Fake sponsor
08:20 Learning to (Learn at Test Time): RNNs with Expressive Hidden States
10:17 Many-Shot In-Context Learning
11:53 Finding Visual Task Vectors
13:38 Outro
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