Navigating the AI Hype Cycle: Credibility and Expectations

Tom and Nate catch up on recent events (before the OpenAI o1 release) and opportunities in transparency/policy. We recap the legendary scam of Matt from IT department, why disclosing the outcomes of process is not enough, and more. This is a great episode on understanding why the process technology was birthed from is just as important as the outcome!

Some links:
* Nathan's post on Model Specs for regulation https://www.interconnects.ai/p/a-post-training-approach-to-ai-regulation
* Nathan's post on inference spend https://www.interconnects.ai/p/openai-strawberry-and-inference-scaling-laws

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