#59: Anthropic CEO Says Human-Level AI Is 2-3 Years Away, How Hackers Are Trying to Make AI Go Rogue, and Fake AI-Generated Books on Amazon

#59: Anthropic CEO Says Human-Level AI Is 2-3 Years Away, How Hackers Are Trying to Make AI Go Rogue, and Fake AI-Generated Books on Amazon

It’s been another interesting week in the world of AI…with a few things we need to keep our eyes on. Paul and Mike break it all down—and then some—on this week’s episode of The Marketing AI Show. Anthropic CEO joins the Dwarkesh podcast to talk about the future of AI. Dario Amodei, CEO and co-founder of Anthropic (maker of the Claude 2 large language model released in July of this year), just gave a wide-ranging interview on the future of AI. The interview took place on a recent episode of the Dwarkesh Podcast (linked in the show notes). It’s a must-listen, primarily because these types of interviews aren’t all that common. Due to considerations around competition and security, the heads of major AI outfits don’t always share in-depth their views on the industry and where it’s going. Not to mention, Amodei himself has a relatively small footprint online, so hearing from him is even less common. We’d encourage you to listen to the entire episode, but on our podcast, Paul and Mike call out some big highlights that have us thinking a little differently about the future of AI. Red-teaming at DEF CON finding flaws and exploits in chatbots If you aren’t familiar with “red-teaming,” it’s a critical aspect of making generative AI models that are as safe and aligned as possible. For example, GPT-4 was red-teamed for 6 months before its release in March 2023. This week, top hackers from around the world have converged at DEF CON in Vegas to find flaws and exploits in the latest chatbots from OpenAI, Google, Anthropic, and Stability. The teams working on red teaming often find these exploits by trying to “break” these systems in novel ways and by imagining creative, though nefarious, ways in which AI tools can be misused. The Washington Post shares examples of red-teaming: “AI red teams are studying a variety of potential exploits, including “prompt attacks” that override a language model’s built-in instructions and “data poisoning” campaigns that manipulate the model’s training data to change its outputs.” The results of the competition will be kept under wraps for a few months, so companies have time to address any issues highlighted by the red teaming efforts. Award-winning author finds AI-generated books written in her name Author Jane Friedman, who has written multiple books and was named a “Publishing Commentator of the Year” for her work in the publishing industry, woke up to a nightmare this week. A reader emailed her about her new book which just hit Amazon. The nightmare wasn’t due to getting a terrible review from a reader, it was due to the fact Friedman hadn’t written a new book at all. Friedman quickly discovered that half a dozen books had been published under her name that she didn’t write—and the books were AI-generated. The fake titles have since been removed from Amazon, but not before Friedman met resistance from the company. Paul and Mike explain the situation…and the implications. There are rapid-fire topics to be discussed, including Zoom backtracking since last week’s episode, and much, much more. Tune in!

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#10: Karen Hao, MIT Technology Review: Responsible AI

#10: Karen Hao, MIT Technology Review: Responsible AI

In this week's episode, show host Paul Roetzer sits down with Karen Hao, senior AI editor, MIT Technology Review. This special episode took place during MAICON 2021 when Paul and Karen sat down for a fireside chat to discuss responsible AI. In this episode, Paul and Karen explore the ethical development and application of AI. Drawing on her expansive research and writing, Hao offers: An inside look at the policies and practices of major tech companies. Lessons learned that you can use to ensure your company’s AI initiatives put people over profits.  A look into what's next and what's needed for responsible AI.

8 Maalis 202244min

#9: Britney Muller, Data Sci 101: SEO Expert Talks AI Use Cases

#9: Britney Muller, Data Sci 101: SEO Expert Talks AI Use Cases

In this week's episode, show host Paul Roetzer, sits down with Britney Muller, Founder of Data Science 101 and former senior SEO scientist with Moz. Britney is a prototype of what we call a next-gen marketer—or someone who understands what is possible with smarter technologies.  In the episode, Muller talks about machine learning from her perspective, and the different tools and resources available to help apply AI in your career. She also discusses: Specific AI use cases for SEO. The impact of AI on marketing and SEO professionals in the next 3 - 5 years. Advice for marketers who are just getting started with machine learning and AI.

6 Huhti 202151min

#8: Kevin Walsh, HubSpot: Using AI to Help Businesses Grow Better

#8: Kevin Walsh, HubSpot: Using AI to Help Businesses Grow Better

In this episode, Kevin Walsh, Group Product Manager for AI at HubSpot, gives us an inside look at how HubSpot thinks about artificial intelligence, and what customers can be doing to take advantage of AI-powered features within the CRM platform. Show host Paul Roetzer also dives into HubSpot’s point of view on AI, AI applications in the platform that customers can use today to make their marketing smarter,  and a little bit into the company’s product roadmap for AI solutions!

30 Maalis 202147min

#7: Maggie Crowley & Jordan Esten, Drift: Accelerate Revenue with AI

#7: Maggie Crowley & Jordan Esten, Drift: Accelerate Revenue with AI

How can AI enable brands to deliver personalized customer experiences in real-time, so you can increase your revenue, shorten your sales cycle and strengthen your brand? Drift leaders, Maggie and Jordan, discuss how they use AI to achieve all of the above. They also share how Drift (the world's leading conversational marketing and sales platform) thinks about AI, plus how the company is integrating AI into its platform. Listen to the full episode for more on: Virtual Selling Assistants and how they differ from other chatbots. What an AI-powered industry means for marketers. Tips to get started with conversational marketing or advance the process you already have.

9 Maalis 202137min

#6: Special Edition: The 2021 State of Marketing AI Report

#6: Special Edition: The 2021 State of Marketing AI Report

We are entering the age of intelligent automation. What does it mean for marketers? How will our jobs evolve? These are just a few of the questions we sought to answer in the 2021 State of Marketing AI Report. We teamed up with Drift in fall 2020 to gain unparalleled insights into the awareness, understanding and adoption of AI throughout the industry.  What we learned is that the industry is on the cusp of transformation. In this episode Paul Roetzer, Founder and CEO, Marketing AI Institute, and Mike Kaput, Director, Marketing AI Institute, dive deep into 10 key findings from the newly released research. Listen to the whole interview to hear more about: Were there any surprises in the results? What does it all mean for the future of the industry? What does it mean for your career?

9 Helmi 20211h

#5. Harry Syed, Exec. Director of Innovation: AI That Could Change Everything

#5. Harry Syed, Exec. Director of Innovation: AI That Could Change Everything

During his interview with show host Paul Roetzer, Harry discusses practical applications of AI that he has worked on and forecasts game-changing innovations coming in the next three to five years. Listen to the whole interview to hear more about: How AI will change our jobs as marketers.  How machines can make us more human.  Why McDonald’s is one of the most innovative brands he’s worked with.  Tips for marketers looking to become innovators.

2 Helmi 202150min

#4. David Meerman Scott, Marketing Strategist: Is Facebook Evil?

#4. David Meerman Scott, Marketing Strategist: Is Facebook Evil?

David Meerman Scott digs into the dark side of social media and considers the question: Is Facebook evil? He also shares his thoughts on how AI-powered algorithms are affecting the way we consume news, and what it all means to brands and marketers.

19 Tammi 202143min

#3. Jeff Coyle, MarketMuse: Can AI Create Content?

#3. Jeff Coyle, MarketMuse: Can AI Create Content?

In this episode, we address the burning question that drove our show host, Paul Roetzer, to start exploring AI years ago: Can AI create content? Back in 2015, the answer was generally no. But, so much has changed that impacts journalists, marketers, and the future of business. In this interview with Jeff, we discuss:  How AI can level up your content marketing.  How major advancements in natural language generation (NLG) are transforming the field.  Predictions for the future of content marketing as we know it.  Plus, major MarketMuse announcements for 2021.

19 Tammi 202150min

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