New announcements, fast training with repercussions, and more are discussed in this week’s Marketing AI Show with Paul Roetzer and Mike Kaput. Read more, then tune in!
Stunning results from ChatGPT plugins
The way we all work is about to change in major ways thanks to ChatGPT—and few are ready for how fast this is about to happen. In a new TED Talk, OpenAI co-founder and president Greg Brockman shows off the power and potential of the all-new ChatGPT plugins…and the results are stunning. Thanks to ChatGPT plugins, ChatGPT can now browse the internet and interact with third-party services and applications, resulting in AI agents that can take actions in the real world to help us with our work. In the talk, Brockman shows off how knowledge workers will soon work hand-in-hand with machines—and how this is going to start changing things months (or even weeks) from now, not years. Paul and Mike talk about capabilities that caught their eye, and what this means for the future of work.
Google just announced some huge AI updates
However, some within the company say Google is making ethical lapses in their rush to compete with OpenAI and others. There were three significant updates: Google announced that its AI research team, Brain, would merge with DeepMind, creating Google DeepMind.
It was also revealed that Google is working on a project titled “Magi.” It involves Google reinventing its core search engine from the ground up to be an AI-first product, as well as adding more AI features to search in the short term. Details are light at the moment, but the New York Times has confirmed some AI features will roll out in the US this year and that ads will remain a part of AI-powered search results.
Finally, Google announced Bard had been updated with new features to help you code. Bard can now generate code and help you debug code. As these updates rolled out, reporting from Bloomberg revealed that some Google employees think the company is making ethical lapses by rushing the development of AI tools, particularly around Bard and the accuracy of its responses.
What problems arise during training AI tools?
AI companies like OpenAI are coming under fire for how AI tools are trained, and social media channels are pushing back. Reddit, which is often scraped to train language models, just announced it would charge for API access, in order to stop AI companies from training models on Reddit data without compensation. Additionally, Twitter recently made a similar move. And Elon Musk publicly threatened to sue Microsoft for, he says, “illegally using Twitter data” to train models. Other companies are sure to follow suit.
An investigative report by the Washington Post recently found that large language models from Google and Meta trained on data from major websites like Wikipedia, The New York Times, and Kickstarter. The report raises concerns that models may be using data from certain sites improperly. In one example, the Post found models had trained on an ebook piracy site and likely did not have permission to use the data it trained on. Not to mention, the copyright symbol appeared more than 200 million times in the data set the Post studied.
And if that wasn’t enough, StableLM and AI Drake were discussed!
