![[The Marketing AI Show Episode 48]: Artificial Intelligence Goes to Washington, the Biggest AI Safety Risks Today, and How AI Could Be Regulated](https://www.marketingaiinstitute.com/hubfs/ep%2048%20cover.png)
In what we think is one of the most important podcast episodes to date, Paul and Mike break down the congressional hearings–and not just Sam Altman’s–to focus on what it means, the safety risks, regulations, and more.
Listen or watch below—and see below for show notes and the transcript.
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Now is a good time to start thinking about the governance of superintelligence—future AI systems dramatically more capable than even AGI.
source https://openai.com/blog/governance-of-superintelligence
The ChatGPT app syncs your conversations, supports voice input, and brings our latest model improvements to your fingertips.
source https://openai.com/blog/introducing-the-chatgpt-app-for-ios
A recent article from top experts predicts AI will have a positive impact on employment—but that’s not the whole story.
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Anthropic, a major AI player, just published something that could have a big impact on AI safety.
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Google just announced major AI advancements with big implications for business leaders—including an AI-first overhaul of search.
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![[The Marketing AI Show Episode 47]: Huge Google AI Updates, Teaching Large Language Models to Have Values, and How AI Will Impact Productivity and Labor](https://www.marketingaiinstitute.com/hubfs/The%20Marketing%20AI%20Show%20Episode%2047.jpg)
The band is back together! Paul and Mike return from separate events last week and are ready to talk the latest in AI. And there’s a lot! Catch up on the latest from Google, the responsible side of LLMs, and hear more about labor and productivity in the age of AI.
Listen or watch below—and see below for show notes and the transcript.
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We use GPT-4 to automatically write explanations for the behavior of neurons in large language models and to score those explanations. We release a dataset of these (imperfect) explanations and scores for every neuron in GPT-2.
source https://openai.com/research/language-models-can-explain-neurons-in-language-models
“We have no moat, and neither does OpenAI.”
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Geoffrey Hinton, a pioneer of deep learning and a VP and engineering fellow at Google, is leaving the company after 10 years due to new fears he has about the technology he helped develop.
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