The Artificial Intelligence Show

Huge updates for ChatGPT are announced OpenAI just announced huge updates for ChatGPT that hold the potential to transform how we use this popular AI tool. The updates include a number of things including: Prompt examples: At the beginning of a new chat, you’ll now see examples to help you get started; Suggested replies: ChatGPT now suggests relevant ways to continue your conversation; GPT-4 by default: When starting a new chat as a Plus user, ChatGPT will remember your previously selected model — no more defaulting back to GPT-3.5; Upload multiple files: You can now ask ChatGPT to analyze data and generate insights across multiple files. This is available with the Code Interpreter beta for all Plus users; Stay logged in: You’ll no longer be logged out every 2 weeks; Keyboard shortcuts: Work faster with shortcuts, like ⌘ (Ctrl) + Shift + ; to copy last code block. Try ⌘ (Ctrl) + / to see the complete list. Also, missing from the update announcement but spotted by entrepreneur Neal Khosla on Twitter (and confirmed by Marketing AI Institute) it looks like the cap on messages in GPT-4 (within ChatGPT Plus) has gone away.  A new, autonomous AI agent debuts from OthersideAI Matt Shumer, the CEO of OthersideAI, maker of the popular AI writing tool Hyperwrite, just debuted an AI system called “Agent-1,” a breakthrough model that can operate software like a human. Agent-1 will power the company’s Personal Assistant product, which lets you give AI commands that it can then execute autonomously using your web browser. In a demo video posted to Twitter, Shumer showed Agent-1 controlling a Google Cloud dashboard on its own. Other demo videos of Personal Assistant have shown the tool autonomously planning travel for a user and drafting and sending an email to team members on its own based on a simple command given by the user.  A vertical-specific LLM launches - and is a good example of what’s possible Writer, a leading AI software tool and friend of Marketing AI Institute, has released a large language model designed specifically for use in healthcare. The model is called Palmyra-Med, and Writer says it has outperformed both GPT-4 and medically trained human test-takers on PubMedQA, the leading benchmark for biomedical question answering. Unlike a generic model like GPT-4, which knows a little bit about a lot of things and, as such, can be used for a wide variety of tasks, Palmyra-Med is specifically trained on publicly available sets of medical data. Writer clearly hopes to make generative AI much more accessible to healthcare organizations. Historically, adoption in healthcare of LLMs has been limited, given healthcare organizations’ needs for specific medical accuracy from AI tools and robust security and compliance features that many AI systems lack. How will this change AI in an industry like healthcare? There are many more topics to be discussed, including McKinsey’s annual report, and a peek inside what’s happening over at Zoom.

8 Elo 20231h 6min

That’s a wrap on MAICON 2023, and Paul and Mike break down some common themes, key takeaways, thoughts on what’s next, and much, much more. And while our annual Marketing AI Conference was top of mind the most, a story on Sam Altman and more news on generative AI’s impact on jobs were two topics that needed to be covered. A recap of MAICON 2023 In case you’ve missed it, it’s been a huge week here at Marketing AI Institute as we just wrapped up our 2023 Marketing AI Conference (MAICON) last Friday. This event was our biggest yet by far, with 700+ amazing marketers and business leaders coming together in Cleveland (our home base) to share, collaborate, learn, and grow together. We had a spectacular lineup of speakers, 2+ days of incredible content, and world-class conversations and connections between some of the top professionals in AI, marketing, and business. Paul and Mike talked through some of the highlights. Whether you attended or weren’t able to make it, we hope this portion of the podcast creates some value for you and helps you learn more about this unique event in our industry. The Atlantic posts an interesting story on Sam Altman The Atlantic just published one of the most comprehensive deep dives into OpenAI—its history, where it stands today, and where it’s going. And this article was informed by several in-depth interviews with CEO and co-founder Sam Altman. Titled “Does Sam Altman Know What He’s Creating?”, the article looks at how OpenAI went from near-failure trying to develop rudimentary AI models to GPT-4, which Altman described to the reporter as an “alien intelligence.” This article is long but well worth reading in full. The link is below. There’s too much to summarize in this short paragraph, so be sure to tune in. You won’t regret it!  Generative AI and another look at the future of work Will AI take your job? According to some new research from McKinsey, it’s complicated. McKinsey just released a report called “Generative AI and the future of work in America.” In this report, they attempt to forecast AI’s impact on employment in the U.S. Overall, McKinsey said that employment changes caused by AI that they’ve been tracking in earlier research “are happening even faster and on an even bigger scale than expected.” Some of the research’s key findings include: By 2030, activities that account for up to 30 percent of hours currently worked across the US economy could be automated—a trend accelerated by generative AI.  Generative AI could enhance the way STEM, creative, and business and legal professionals work rather than eliminating a significant number of jobs outright.  Automation’s biggest effects are likely to hit other job categories, which include office support, customer service, and food service employment. An additional 12 million occupational transitions may be needed by 2030. As people leave shrinking occupations, the economy could reweight toward higher-wage jobs. Workers in lower-wage jobs are up to 14 times more likely to need to change occupations than those in highest-wage positions, and most will need additional skills to do so successfully. Women are 1.5 times more likely to need to move into new occupations than men. The United States will need workforce development on a far larger scale as well as more expansive hiring approaches from employers. Employers will need to hire for skills and competencies rather than credentials, recruit from overlooked populations (such as rural workers and people with disabilities), and deliver training that keeps pace with their evolving needs. There’s plenty more data in this research that is worth checking out, and this is a segment in the podcast worth listening to.

1 Elo 20231h 12min

With MAICON 2023 just around the corner, Paul Roetzer and Mike Kaput break down very different directions of AI this week. From incredible to dumb, from thorough to questionable, there’s lots to break down. Meta’s incredible new (free!) ChatGPT competitor is here Meta’s latest announcement has big implications for the world of AI. The company announced that its new, powerful large language model, LLaMA 2, will be available free of charge for research and commercial use. The model is “open source,” which means anyone can copy it, build on top of it, remix it, and use it however they see fit. This puts an extremely powerful large language model into anyone’s hands—and gives them the appropriate permissions to build products with it. But that’s not all. It signals a major strategic direction that Meta is taking to compete with other AI companies—one that could have an effect on AI safety. Some major AI players place serious restrictions on the use and release of their models, often due to concerns about how models might be misused if they’re put in the wrong hands without guardrails. Meta is taking the opposite approach, believing that getting the technology into anyone and everyone’s hands will make the technology better much faster—and more quickly help Meta reveal and address issues that contribute to safety, like the use of the model to produce misinformation or toxic content. Will this new approach be successful?  Elon Musk changes Twitter to X Musk is in this news again. As of the morning of the podcast recording (July 24, 2023), he has formally rebranded Twitter as X. The platform formerly known as Twitter hasn’t changed much aside from its logo, but it seems like Musk and leadership are viewing it as just one piece of a much larger entity.  In a somewhat cryptic set of tweets, CEO Linda Yaccarino said: “X is the future state of unlimited interactivity – centered in audio, video, messaging, payments/banking – creating a global marketplace for ideas, goods, services, and opportunities. Powered by AI, X will connect us all in ways we’re just beginning to imagine.” In the past couple weeks, Musk has also announced xAI, his new company dedicated to building “good” artificial general intelligence and competing with OpenAI, among others. Time will tell what this means for the future of the brand. Meta, Google, and OpenAI Make AI Responsibility Promises to the White House Seven major AI companies—Amazon, Anthropic, Google, Inflection, Meta, Microsoft, and OpenAI—have all agreed to safety commitments proposed by the White House. The commitments include promises to engage in “security testing” carried out by independent experts, using digital watermarking to identify AI-generated vs. human-generated content, testing for bias and discrimination in AI systems, and several other safety-related actions. It should be noted these are simply voluntary commitments publicly announced by the companies and the White House, not any type of formal regulation or legislation. We discuss this on this week’s episode and will keep our eyes on this for you. Tune into the last pre-MAICON 2023 episode! We’ll be back next week with more news, more insights, and lots of MAICON takeaways to share with you all.

25 Heinä 20231h 19min

AI-Powered Content Strategy In exciting news, this podcast, The Marketing AI Show, recently surpassed 100,000 downloads. That’s exciting and a huge milestone for us, but the story is the content strategy…and AI’s role in it. Prior to October 2022, the podcast format was interview-style, where Paul was vetting experts, scheduling interviews, and more, causing inconsistency. This led to the podcast being an afterthought in the marketing strategy. Then in October, we put the weekly podcast at the center of our content strategy.  Today, each episode averages more than 4,500 downloads. To put that in perspective, we had 4,800 downloads the entire year of 2022! Plus, we’ve heard from listeners all over the world about how the podcast has impacted them, and how they’ve come to rely on it for their weekly AI news. In this podcast episode, we’re going to talk a bit about how the podcast became key to our content strategy and how AI makes it possible to efficiently produce high-quality episodes that perform. Claude 2 from Anthropic Major AI company Anthropic just announced the release of Claude 2, its new foundational AI model. Similar to ChatGPT, you can engage with Claude 1 and now Claude 2 through natural language prompts to perform a range of functions, like generating text, answering questions, and producing code. Claude 2 has improved reasoning from Claude 1, and even scores above the 90th percentile on the GRE reading and writing exam. Some of the changes are impressive, including most notably, the number of tokens you can input into Claude 2 is massive. You can input up to 100,000 tokens into a single prompt, which, says Anthropic, “means that Claude can work over hundreds of pages of technical documentation or even a book.” Is 100,000 a lot? Yes…The Great Gatsby would be about 72,000 tokens! There are also so many other great benefits and enhancements. Paul and Mike break them down in the 2nd story of the podcast.  Major Google Bard updates Google just announced a ton of new features for Bard, its ChatGPT-like conversational agent. Bard is now available in 40 languages and many more countries than before, including the European Union. Some of the other major updates include changing the tone and style of Bard's responses to five different options, you can drop images into it and have Bard perform a range of tasks related to the image, you can share Bard’s responses with others via shareable links, and more. Tune in to the podcast to hear more of the updates both from a functionality as well as a UX standpoint.  We cover a lot of ground this week, and per usual, it was another big week in AI news stories, so be sure to tune in!

18 Heinä 20231h 7min

As generative AI continues to improve, iterate, and integrate, there are news stories to discuss and advancements to break down. That’s why we’re happy Paul Roetzer and Mike Kaput are back for episode 54 of The Marketing AI Show. ChatGPT Code Interpreter available for all OpenAI announced on July 6 that ChatGPT’s Code Interpreter feature will be made available to all ChatGPT Plus users. Previously, only select users received access after signing up for a waitlist. Code Interpreter gives ChatGPT the ability to run code, use files you upload to produce outputs, analyze data, create charts, and perform sophisticated math. This gives ChatGPT the ability to do all sorts of data analysis and code-dependent tasks it couldn’t do well before. People are already using Code Interpreter in interesting ways including customer segmentation, data visualization, and data analysis.  The misuse of AI in content and media A handful of stories in the past several weeks are shedding light on the dangers and misuse of AI in content and media. A report from misinformation tracking site NewsGuard shows that content farms using AI to generate hundreds of low-quality articles a day are raking in programmatic ad dollars—and hundreds of brands are unwittingly supporting them. And otherwise legitimate media sites are following their lead. Tech site Gizmodo recently started publishing AI-generated content and the results were problematic. One article on Star Wars movies was riddled with inaccuracies and prompted an outcry from Gizmodo staff, who said these types of stories were “actively hurting our reputations and credibility” and showed “zero respect” for journalists. Last, but certainly not least, news came out of a leaked email from German tabloid Bild detailing how the publication plans to replace over a hundred jobs with AI.  Investors are betting on generative AI. Why and how? Research recently published by McKinsey estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion of annual value to the global economy. The firm estimates that about 75% of this value will accrue through four use cases: customer operations, marketing and sales, software engineering, and R&D.The impact will be felt across all industries and sectors, but McKinsey specifically points out that banking, high-tech, and life sciences could see the largest impact. The full research report is well worth a read. But the larger point here is that the possible market impact of generative AI is massive. And investors are clearly responding to that, having just written some huge checks to leading generative AI companies. One big example: Inflection AI announced it raised $1.3 billion in a fresh fundraising round led by Microsoft, LinkedIn founder Reid Hoffman, Bill Gates, and NVIDIA.Inflection AI has been around just over a year and, in that time, the company has built one of the world’s most sophisticated large language models, which powers Pi, its personal AI assistant product. The company is also the “largest AI cluster in the world comprising 22,000 NVIDIA H100 Tensor Core GPUs.” It’s also important to note that Inflection AI’s CEO and co-founder Mustafa Suleyman also co-founded DeepMind, which was acquired by Google and forms the backbone of their AI work. Another example: At the same time, Runway, which builds generative AI tools for creators, announced a $141 million extension to its Series C funding round from companies like Google, NVIDIA, and Salesforce Ventures.

11 Heinä 20231h 7min

The band is back together! After Episode 51’s Year (so far) in Review and Episode 52’s Top AI Questions episodes, Paul Roetzer and Mike Kaput are back to the podcast format you’re used to. Well, sort of. Because there’s a bit of news to catch up on, many topics that took place over the past few weeks were covered in this episode. We hope you enjoy it! Salesforce Unveils AI Cloud Offering Salesforce just launched “AI Cloud,” which gives enterprises the ability to safely use enterprise-ready AI. AI Cloud is a platform that hosts the company's AI-powered products, such as Einstein, Slack, and Tableau, as well as large-language models from other providers like Amazon Web Services. The firm aims to cater to enterprises by ensuring data privacy and preventing AI models from retaining sensitive customer information. According to Reuters, Salesforce says the AI Cloud “starter pack” will be available for $360,000 annually, the company said.  The U.S. Senate Gets Up to Speed on AI  Senate Majority Leader Chuck Schumer announced a series of educational sessions on artificial intelligence for senators as Congress explores potential regulations for the technology. The first session, led by MIT professor and machine learning expert Antonio Torralba, aims to provide a general overview of AI and its current capabilities. The initiative underscores the importance of lawmakers understanding AI, its implications, and its challenges in order to create legislation that both fosters its potential for human prosperity and mitigates its risks. This seems like a positive step forward, but is it surprising that the Senate is only just now starting to educate its members on AI’s basics? In addition, President Biden and his advisors have been leveraging AI technology, such as OpenAI's ChatGPT, and have moved AI from a peripheral concern to a central priority in policy development, recognizing its potential for both tremendous benefits and risks. The White House is acting with urgency to establish a regulatory framework for AI through executive orders and new policies, aiming to maximize positive impact and mitigate unintended consequences, with a focus on areas such as cybersecurity, consumer protection, and economic transformation. Hyperwrite’s Matt Shumer announces GPT Author What if we told you AI can now write entire novels in minutes based on an initial text prompt? Matt Shumer, co-founder and CEO of OthersideAI, which makes the AI writing tool, HyperWrite, recently announced an open-source project called GPT Author. The project strings together a chain of AI systems to write an entire book for you in minutes, complete with cover art and easy export to the Kindle store—all based on a description of the high-level details you want to see in your novel. Tune in for his experience and Paul’s reaction. This summary only scratches the surface of the topics covered, so be sure to tune in! The Marketing AI Show can be found on your favorite podcast player and be sure to explore the links on our website: www.marketingaiinstitute.com.

27 Kesä 20231h 8min

After 26 Intro to AI classes since November 2021, we’ve seen quite the gamut of questions from our attendees. So far in 2023, we’ve hosted seven classes, with a collective 147 questions asked. We wanted to take this week’s podcast episode and run through the most commonly asked questions–and answers. We hope you enjoy this episode, and join us for our next Intro to AI for Marketers class on June 28! 00:07:03 — How do you define "generative" in the context of AI, and how might it be applied in various marketing disciplines, such as marketing, design, or podcasting? 00:08:07 — How can marketers balance the integration of AI in their strategies while maintaining the human touch and creativity in their campaigns? How will the role of human creativity evolve within this AI-driven landscape? 00:11:14 — As AI continues to improve, how can writers maintain their value in a world where AI is getting better at creating flowing and creative content? 00:13:13 — Given the rapid pace of change in marketing technology, what advice would you offer to businesses trying to navigate the influx of AI tools in the market, and how can they build a coherent tech stack? 00:16:01 — As more and more AI-based companies emerge, how can marketers discern which ones to invest in for their company's specific needs? 00:19:09 — How can the marketing department work collaboratively with IT/AI/technology teams to leverage AI capabilities?  00:20:48 — Do marketers need to be concerned with plagiarism when using AI writing tools? Do AI writing detection tools work?   00:25:43 — How can someone verify the content generated by AI?  00:28:33 — Can AI replace or supplement roles like graphic designers? And how accessible are these AI tools for non-designers to create their own visuals?  00:30:08 — What are the potential impacts and opportunities for agencies as AI technology advances? How can they adapt today to ensure they aren't left behind? 00:32:56 — In terms of language capabilities, how far have AI tools come, and what can expect moving forward? 00:36:01 — Given the rise of privacy concerns with AI tools, what guidelines should companies follow while using AI models like ChatGPT? 00:38:06 — How can companies ensure they comply with copyright regulations when generating images with AI? How do you envision the evolution of copyright legislation in the context of large language model AI? How should companies handle their proprietary data? 00:44:13 —I want to get started TODAY. What are some steps I should take immediately to learn or to identify ways I should get started?  00:47:03 — As we move toward an increasingly AI-driven world, what are your thoughts on the future role of humans? What advice would you give to those who might feel threatened by the rise of AI? Learn more about us at www.marketingaiinstitute.com. You'll find webinars, reports, blueprints, research, and more.

20 Kesä 202355min

This week’s episode features Paul Roetzer giving a quick year-in-review. It’s been a busy six months, and Paul references some of the top stories and developments of 2023. Hear more, and visit our website for links, YouTube videos, and more. (www.marketingaiinstitute.com) 00:05:08 Jan. 16: ChatGPT Disrupts Education 00:05:53 Jan. 17: Getty Images Announces That It Has Commenced Legal Proceedings Against Stability AI; 00:08:05 Jan. 28: Marketing AI Institute’s Responsible AI Manifesto 00:11:51 Feb. 1: UBS Announces That ChatGPT Hit 100M Users in January 00:12:33 Feb. 6: Google Bard Is Announced 00:14:13 Feb. 7: Microsoft Announces AI-Powered Bing and Edge 00:14:53 Feb. 24: Meta Publicly Releases LLaMA Under a Noncommercial License Focused on Research Use Cases 00:17:44 Mar. 2: Marketing AI Institute’s Law of Uneven AI Distribution 00:20:24 Mar. 6: HubSpot Releases ChatSpot in Public Alpha (and Content Assistant in Private Beta) 00:22:19 Mar. 7: Salesforce Announces Einstein GPT in Closed Pilot 00:23:36 Mar. 14: GPT-4 Is Announced 00:25:02 Mar. 14: Google Announces PaLM and Expanded AI Features in Google Workspaces 00:27:04 Mar. 14: Anthropic Announces Claude 00:29:03 Mar. 16: U.S. Copyright Office Releases Generative AI Guidance 00:30:48 Mar. 16: Microsoft Introduces Microsoft 365 Copilot 00:32:55 Mar. 20: Runway Announces Gen-2 00:34:34 Mar. 21: Adobe Announces Firefly Generative AI Capabilities 00:36:25 Mar. 22: AI Experts Release Open Letter to Pause AI Development 00:38:46 Mar. 23: OpenAI Announces ChatGPT Plugins 00:40:05 Mar. 30: Release of AutoGPT 00:42:24 Mar 31: Italy Bans ChatGPT 00:43:28 Apr. 13: Amazon Announces Generative AI in AWS 00:44:55 Apr. 19: Marketing AI Institute Statement on Knowledge Work 00:47:02 May 1: Geoff Hinton Announces He Has Quit Job at Google Over Safety Concerns 00:49:35 May 10: Google Announces Generative Search Experience 00:50:35 May 16: Sam Altman Testifies Before Congress 00:52:40 May 30: AI Poses “Risk of Extinction” According to AI Leaders 00:54:06 June 5: Apple announces Vision Pro 00:55:51 Jun 7: DeepMind Announces AlphaDev Breakthrough in Sorting Algorithms 00:59:02 June 8: Cohere announces $270M Series C

12 Kesä 20231h 5min