The Artificial Intelligence Show

After travels to Miami and Austin (Paul), and Baltimore (Mike) for events and presentations, the team is back together in Cleveland to record episode 66 of The Marketing AI Show. And the AI news didn’t slow down. The guys break down the biggest happenings and advancements including further development of ChatGPT, Meta, Anthropic, Spotify, and more. 00:05:09 — Kevin Roose took ChatGPT’s new features to the test 00:26:13 — Meta introduces AI Experiences 00:37:12 — Amazon invests $4B in Anthropic 00:45:47 — Spotify clones podcasters’ voices 00:51:21 — Writers Guild and studios reach a deal 00:54:11 — Getty trains licensed images 00:57:03 — Google indexes public Bard conversations in search results 01:00:49 — Student use cases for AI Use BrandOps data to drive unique AI content based on what works in your industry. Many marketers use ChatGPT to create marketing content, but that's just the beginning. BrandOps offers complete views of brand marketing performance across channels. Now you can bring BrandOps data into ChatGPT to answer your toughest marketing questions.  http://brandops.io/marketingaishow AiAdvertising. Start winning with AiAdvertising’s innovative approach to maximizing budget and performance. Use AI to optimize campaigns by gaining deep customer insights, drawing out motivations and behaviors, enabling intelligent targeting, and ensuring messages hit the mark. Stop wasting time, money, and resources. Let AiAdvertising lead while you take the credit! Visit their website to learn more! http://www.aiadvertising.com/aipod Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase Want to receive our videos faster? SUBSCRIBE to our channel! Visit our website: https://www.marketingaiinstitute.com Receive our weekly newsletter: https://www.marketingaiinstitute.com/newsletter-subscription Looking for content and resources? Register for a free webinar: https://www.marketingaiinstitute.com/resources#filter=.webinar Come to our next Marketing AI Conference: www.MAICON.ai Enroll in AI Academy for Marketers: https://www.marketingaiinstitute.com/academy/home Join our community: Slack: https://www.marketingaiinstitute.com/slack-group-form LinkedIn: https://www.linkedin.com/company/mktgai Twitter: https://twitter.com/MktgAi Instagram: https://www.instagram.com/marketing.ai/ Facebook: https://www.facebook.com/marketingAIinstitute

3 Loka 20231h 6min

We’re back with an exciting week of AI news! This episode was recorded Sunday, Sept. 24, only to wake up to Anthropic/Amazon news, and ChatGPT updates! But more on that next week. In the meantime, Paul and Mike break down some exciting updates from OpenAI, Sequoia Capital, Microsoft, and more. 00:02:44 — DALL-E 3 00:08:12 — Sequoia Capital’s Act 2 of their Gen AI Market Map 00:18:45 — AI and the accounting industry 00:30:06 — Bard and the Google apps connection 00:33:29 — Microsoft announcements at its Surface and AI event 00:37:56 — EU Act implementation 00:42:28 — Jim Thune and Amy Klobuchar unveil major AI bill 00:43:00 — Famous writers join Authors Guild in class action lawsuit 00:46:17 — TikTok rolls out new label for AI-generated content 00:48:01 — Andy Crestodina’s AI for SEO blog post 00:49:58 — Twitter hides X posts with external links This episode is brought to you by AiAdvertising. Start winning with AiAdvertising’s innovative approach to maximizing budget and performance. Use AI to optimize campaigns by gaining deep customer insights, drawing out motivations and behaviors, enabling intelligent targeting and ensuring messages hit the mark. Stop wasting time, money, and resources. Let AiAdvertising lead while you take the credit! Visit www.aiadvertising.com/aipod to learn more! Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase Want to receive our videos faster? SUBSCRIBE to our channel! Visit our website: https://www.marketingaiinstitute.com Receive our weekly newsletter: https://www.marketingaiinstitute.com/newsletter-subscription Looking for content and resources? Register for a free webinar: https://www.marketingaiinstitute.com/resources#filter=.webinar  Come to our next Marketing AI Conference: www.MAICON.ai Enroll in AI Academy for Marketers: https://www.marketingaiinstitute.com/academy/home Join our community: Slack: https://www.marketingaiinstitute.com/slack-group-form LinkedIn: https://www.linkedin.com/company/mktgai Twitter: https://twitter.com/MktgAi Instagram: https://www.instagram.com/marketing.ai/ Facebook: https://www.facebook.com/marketingAIinstitute

26 Syys 202357min

Live from Los Angeles! As Mike records from Anaheim prepping for the California of Realtors annual REimagine event, and Paul Roetzer is coming off the heels of a whirlwind trip to Munich for an event he keynoted, they sit down for a quick 56 minutes to regroup on the latest in artificial intelligence, business, and marketing. Paul and Mike discuss: AI and the workforce: professional services plus AI’s impact on our work, and what’s next for AI? And then, a handful of rapid-fire topics for you. This episode is brought to you by AiAdvertising. Learn more at www.aiadvertising.com/aipod. 00:02:48 — Major service firms pivoting to AI 00:21:04 — AI and its impact on our work 00:42:59 — Where AI is going based on real-world experience 00:38:34 — “Getting this right with AI” according to Silicon Valley 00:43:32 — Dreamforce AI updates 00:46:22 — Google Gemini nears release 00:48:27 — Deutsche Bank and generative AI 00:51:08 — Newsom’s executive order on AI 00:52:39 — Stable Audio launches Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase Want to receive our videos faster? SUBSCRIBE to our channel!   Visit our website: https://www.marketingaiinstitute.com Receive our weekly newsletter: https://www.marketingaiinstitute.com/newsletter-subscription   Looking for content and resources? Register for a free webinar: https://www.marketingaiinstitute.com/resources#filter=.webinar  Come to our next Marketing AI Conference: www.MAICON.ai Enroll in AI Academy for Marketers: https://www.marketingaiinstitute.com/academy/home

19 Syys 202357min

Inside Elon Musk’s struggle for the future of AI We just got a never-before-seen look at how—and why—Elon Musk decided to go all-in on artificial intelligence. This comes from an article by Walter Isaacson in Time, and is adapted from his upcoming book Elon Musk, which publishes today! Issacson’s name may ring a bell, as he’s also the author of the Steve Jobs biography.) In the article, Issacson gives new details on the actions Elon Musk has taken to get highly involved in the future of AI. It turns out that Musk has become increasingly worried about the development of advanced AI—and considers it probable that we develop superintelligent AI that poses an existential risk to humanity if not properly shepherded into existence. Much of his discontent seems to have come from rocky relationships with Google over its acquisition of DeepMind and displeasure that OpenAI, which he co-founded, pivoted away from being a non-profit lab releasing AI advancements for everyone to use and build upon. As Isaacson details, Musk has spent years developing dedicated AI capabilities across his companies, including Neuralink, Tesla, and SpaceX. He’s also actively considering how to use Twitter’s data to fuel AI systems. Now, he’s founded an overarching AI company called xAI to tie together all these AI efforts—and tapped a former AI expert at DeepMind, Igor Babuschkin, to join the company. His goal? To ensure AI develops in a way that benefits humanity and guarantees that superintelligent AI doesn’t cause existential risks to the species at large. Musk has made some bold public statements before; it will be interesting to see what develops.  We tested out Google Duet AI Google recently released Duet AI for Google Workspace, an AI copilot across popular Google apps like Docs, Sheets, Slides, Gmail, and Meet—and Marketing AI Institute took a deep dive into its capabilities. Over the last week, we’ve spent hours kicking the tires of different Duet AI capabilities across the main apps…and we definitely have some thoughts on how marketers and business leaders can take advantage of these new AI capabilities. Microsoft offers legal protection for AI copyright infringement challenges Microsoft just announced Copilot Copyright Commitment, a policy that provides legal protection for customers sued for copyright infringement when using Microsoft's AI systems like GitHub Copilot and Bing Chat.  This comes as the explosion of generative AI tools has raised concerns about reproducing copyrighted material without attribution, and Microsoft aims to give customers confidence in deploying AI without worrying about copyright issues by covering any legal damages. The policy covers Microsoft AI products that use built-in guardrails, as the company faces ongoing litigation over Copilot's alleged copyright violations from scraping code.  "As customers ask whether they can use Microsoft’s Copilot services and the output they generate without worrying about copyright claims, we are providing a straightforward answer: yes, you can, and if you are challenged on copyright grounds, we will assume responsibility for the potential legal risks involved," writes Microsoft. A big statement. What does that mean for businesses?  Enjoy the episode…and stick around for the rapid-fire topics, including announcements at INBOUND, Time’s Top 100 People in AI, and much more.

12 Syys 20231h 8min

Introducing ChatGPT Enterprise OpenAI announced they’re launching ChatGPT Enterprise. This is a version of ChatGPT with enterprise-grade security and privacy, unlimited higher-speed GPT-4 access, longer context windows, advanced data analysis capabilities, customization options, and more.  The move appears to be a response to enterprise demand for a safe, compliant version of ChatGPT, says OpenAI. “Since ChatGPT's launch just nine months ago, we’ve seen teams adopt it in over 80% of Fortune 500 companies. We've heard from business leaders that they’d like a simple and safe way of deploying it in their organization.” Now, it looks like they’re getting just that. New Google AI Updates at Google Cloud Next 23 Google made some big AI announcements at Google Cloud Next ‘23. The event was headlined by Google’s announcement that Duet AI for Workspace, its generative AI tool in Gmail, Docs, Sheets, Slides, Chat, and Meet, is now generally available and has a no-cost trial.  As part of the event, Google also announced new models in Vertex AI, their suite of APIs for foundational models. You can now access Llama 2 and Code Llama from Meta using Vertex AI—and Claude 2 is coming soon. Also mentioned, there is a new digital watermarking functionality for Imagen, Google’s image generation technology. This is powered by Google DeepMind’s SynthID and could give us a preview of how we’ll be accurately identifying AI-generated images and text in the future. OpenAI disputes authors’ claims that every ChatGPT response is a derivative work OpenAI has finally broken its silence after being sued by a number of authors, all of whom allege that ChatGPT was illegally trained on their work without permission. OpenAI is looking to dismiss the lawsuits, saying: "the use of copyrighted materials by innovators in transformative ways does not violate copyright."  Unlike plagiarists who seek to directly profit off distributing copyrighted materials, OpenAI argued that its goal was "to teach its models to derive the rules underlying human language" to do things like help people "save time at work," "make daily life easier," or simply entertain themselves by typing prompts into ChatGPT. Citing a notable copyright case involving Google Books, OpenAI also reminded the court that "while an author may register a copyright in her book, the 'statistical information' pertaining to 'word frequencies, syntactic patterns, and thematic markers' in that book are beyond the scope of copyright protection." Enjoy the episode! It was a busy week in the world of AI! Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase Want to receive our videos faster? SUBSCRIBE to our channel! Visit our website: https://www.marketingaiinstitute.com Receive our weekly newsletter: https://www.marketingaiinstitute.com/newsletter-subscription Looking for content and resources? Register for a free webinar: https://www.marketingaiinstitute.com/resources#filter=.webinar  Come to our next Marketing AI Conference: www.MAICON.ai Enroll in AI Academy for Marketers: https://www.marketingaiinstitute.com/academy/home Join our community: Slack: https://www.marketingaiinstitute.com/slack-group-form LinkedIn: https://www.linkedin.com/company/mktgai Twitter: https://twitter.com/MktgAi Instagram: https://www.instagram.com/marketing.ai/ Facebook: https://www.facebook.com/marketingAIinstitute

5 Syys 202357min

Pirated books are powering generative AI The Atlantic just released a major investigative journalism piece that proves popular large language models, like Meta’s LLaMA, have been using pirated books to train their models—a fact that was previously alleged by multiple authors in multiple lawsuits against AI companies. The article states, “Upwards of 170,000 books, the majority published in the past 20 years, are in LLaMA’s training data. . . . These books are part of a dataset called “Books3,” and its use has not been limited to LLaMA. Books3 was also used to train Bloomberg’s BloombergGPT, EleutherAI’s GPT-J—a popular open-source model—and likely other generative-AI programs now embedded in websites across the internet.” According to an interview in the story with the creator of the Books3 dataset of pirated books, it appears Books3 was created with altruistic intentions. Reisner interviewed the independent developer of Books3, Shawn Presser, who said he created the dataset to give independent developers “OpenAI-grade training data,” in fear of large AI companies having a monopoly over generative AI tools. The 2023 State of Marketing AI Report findings Marketing AI Institute, in partnership with Drift, just released our third-annual State of Marketing AI Report. The 2023 State of Marketing AI Report contains responses from 900+ marketers on AI understanding, usage, and adoption. In it, we’ve got tons of insights on how marketers understand, use, and buy AI technology, the top outcomes marketers want from AI, the top barriers they face when adopting AI, how the industry feels about AI's impact on jobs and society, who owns AI within companies, and much more. Paul and Mike talk about some of the most interesting findings from the data. You can now fine-tune GPT-3.5 Turbo OpenAI just announced a big update: You can now fine-tune GPT-3.5 Turbo to your own use cases. This means you can customize the base GPT-3.5 Turbo model to your own needs, so they perform much better on use cases that may be custom to your organization’s specific needs. For instance, you might fine-tune GPT-3.5 Turbo to better understand text that’s highly specific to your industry or business. You might also fine-tune models to sound more like your brand in their outputs or remember specific examples or preferences when producing outputs, so you don’t have to spend resources and bandwidth on highly complex prompts every time you use a model. Notably, OpenAI says: “Early tests have shown a fine-tuned version of GPT-3.5 Turbo can match, or even outperform, base GPT-4-level capabilities on certain narrow tasks.” They also note fine-tuning for GPT-4 will be coming this fall. Plus…the rapid-fire topics this week are interesting, so stick around for the full episode. Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase Want to receive our videos faster? SUBSCRIBE to our channel! Visit our website: https://www.marketingaiinstitute.com Receive our weekly newsletter: https://www.marketingaiinstitute.com/newsletter-subscription Looking for content and resources? Register for a free webinar: https://www.marketingaiinstitute.com/resources#filter=.webinar Come to our next Marketing AI Conference: www.MAICON.ai Enroll in AI Academy for Marketers: https://www.marketingaiinstitute.com/academy/home Join our community: Slack: https://www.marketingaiinstitute.com/slack-group-form LinkedIn: https://www.linkedin.com/company/mktgai Twitter: https://twitter.com/MktgAi Instagram: https://www.instagram.com/marketing.ai/ Facebook: https://www.facebook.com/marketingAIinstitute

29 Elo 20231h

AI is going to eliminate way more jobs than anyone realizes AI is going to eliminate way more jobs than anyone realizes, according to a new in-depth article from Business Insider. The publication says AI could disrupt over 300 million jobs worldwide but also add trillions in value to the economy. The article dives into a number of data points that support this conclusion from various sources, including the fact that non-generative and generative AI is estimated to add between $17 trillion and $26 trillion to the global economy. While it’s very hard for economists and technologists to predict exactly what happens next, the article does a solid job of curating the current thinking from some of the top minds and institutions—including AI’s impact on employment and career skills. AI’s exciting and uncertain impact on schools Kids are in full swing going back to school here in the U.S., but there are equal parts excitement and uncertainty as schools everywhere try to grapple with the chaos and opportunity provided by AI tools like ChatGPT. We’re seeing more schools release policies or guidance on the use of AI in the classroom, but those policies and guidelines are often different in tone and content. Some schools are cracking down on AI use in the classroom, and restricting how students are able to use it. Others appear to be taking a positive view of the technology, attempting to guide students and educators on how to make the most of AI tools in a sensible way. Given how important the topics are, and how much uncertainty there is around these policies, we wanted to explore them more in-depth given how quickly AI has upended education as usual. New York Times considers legal action against OpenAI as copyright tensions swirl The New York Times is exploring suing OpenAI over using its articles to train AI models like ChatGPT without permission, according to reporting from NPR, setting up a potential major copyright battle over generative AI. The Times is concerned ChatGPT competes with it by answering questions using the paper's original reporting. If AI tools replace visiting news sites, it threatens the Times' business. The Times is also concerned about how OpenAI’s systems get information by scraping the internet, and potentially copyrighted material, to train models. The Times and OpenAI have been discussing a licensing agreement for the Times’ content, but NPR seems to indicate this has gone so poorly the Times is now considering legal action. And, unsurprisingly, there’s a lot more covered. Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase Want to receive our videos faster? SUBSCRIBE to our channel! Visit our website: https://www.marketingaiinstitute.com Receive our weekly newsletter: https://www.marketingaiinstitute.com/newsletter-subscription Looking for content and resources? Register for a free webinar: https://www.marketingaiinstitute.com/resources#filter=.webinar  Come to our next Marketing AI Conference: www.MAICON.ai Enroll in AI Academy for Marketers: https://www.marketingaiinstitute.com/academy/home Join our community: Slack: https://www.marketingaiinstitute.com/slack-group-form LinkedIn: https://www.linkedin.com/company/mktgai Twitter: https://twitter.com/MktgAi Instagram: https://www.instagram.com/marketing.ai/ Facebook: https://www.facebook.com/marketingAIinstitute

22 Elo 20231h 10min

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!

15 Elo 202359min