![[The Marketing AI Show Episode 41]: Elon Musk, Steve Wozniak, and Others Sign Letter to Pause AI, Italy Bans ChatGPT, and the Future of Prompt Engineering](https://www.marketingaiinstitute.com/hubfs/ep%2041%20cover.png)
AI leaders say slow down, Italy blocks AI, the United Nations implements global framework. But, other leaders keep finding ways to integrate ChatGPT, and new companies are launched. This dichotomy makes for an interesting episode. Paul and Mike break it all down.
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A team of Microsoft AI scientists claim that GPT-4, the latest iteration of OpenAI’s Large Language Model, exhibits “sparks” of human-level intelligence, or artificial general intelligence (AGI).
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ChatGPT now has eyes, ears, and internet access.
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![[The Marketing AI Show Episode 40]: ChatGPT Plugins, Is GPT-4 Early AGI, and Using AI to Do a Full Product Launch in 30 Minutes](https://www.marketingaiinstitute.com/hubfs/ep%2040%20cover.png)
GPT-4 is changing the game. Access is easier, outputs are better, and technologies connecting to it are increasing exponentially with the help of a new plugin system. What will the rest of this week bring us?
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An update on our findings, the actions we’ve taken, and technical details of the bug.
We’ve implemented initial support for plugins in ChatGPT. Plugins are tools designed specifically for language models with safety as a core principle, and help ChatGPT access up-to-date information, run computations, or use third-party services.
GPT-4 is here, and it’s already stunning early testers.
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![[The Marketing AI Show Episode 38]: GPT-4 Is Here, Google and Microsoft Embed AI Into Core Products, and U.S. Copyright Office Says You Don’t Own AI-Generated Content](https://www.marketingaiinstitute.com/hubfs/ep%2039%20cover.jpg)
In what may have been the biggest week in marketing AI (to date), we have a lot to review in this week’s podcast, so let’s jump right in.
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We’ve created GPT-4, the latest milestone in OpenAI’s effort in scaling up deep learning. GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks.