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Podcast Episode Notes: Leveraging AI - Episode 127
Episode Overview Title: AI and Human Customer Service Agents Are Now Indistinguishable Date: Week Ending September 27, 2024 Host: Isar Meitis Guest: Sam Altman, CEO of OpenAI (not featured in this episode but mentioned) Focus: Updates on recent developments in AI, particularly regarding OpenAI's leadership changes, advancements in AI technology including voice capabilities, implications of AI in the entertainment industry, and significant business news.
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Key Topics Discussed
- OpenAI Leadership Changes
- Major departures of key figures (Mira Moradi, Bob McGrew, Barrett Zoff) signal a shift towards a for-profit model, moving away from its nonprofit roots.
- Discussion of the potential implications of these changes for AI safety and ethical considerations.
- OpenAI's valuation is expected to rise significantly, with talks of raising between $6-$7 billion.
- Advanced Voice-Mode AI
- OpenAI released an advanced voice mode that enhances user interaction with machines, making conversations feel more natural.
- Host shares personal experience with the voice mode, emphasizing its effectiveness in brainstorming and communication.
- The release is not available in the EU due to regulatory restrictions regarding emotional inference capabilities.
- Ethical Concerns Surrounding AI
- AI's growing influence in customer service, with Salesforce's CEO stating that AI and human agents are now indistinguishable.
- The capability of AI to manipulate emotions poses ethical questions and necessitates clear regulations to protect users.
- The responsibility of companies in adhering to ethical standards was emphasized, along with the potential societal impacts of AI technologies.
- Entertainment Industry and AI
- The rising trend of AI-generated content and the implications for job displacement in Hollywood.
- The potential for AI-generated actors and films, exemplified by Lionsgate's partnership with Runway.
- Discussion on the types of content AI can create, raising concerns about the future of creative jobs.
- AI Infrastructure Investment
- Sam Altman's call for significant U.S. investment in AI infrastructure to avoid future conflicts over resources.
- Microsoft and BlackRock's $30 billion fund to enhance AI competitiveness and infrastructure development.
- Concerns about the environmental impact of data centers used for AI processing.
- AI Education Initiatives
- Announcement of upcoming AI Business Transformation Course aimed at equipping professionals with AI knowledge.
- OpenAI's initiative to boost AI skills in developing countries, though criticized for being underfunded.
- Contrast with Google's announcement of a much larger global AI opportunity fund focused on AI education.
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Key Takeaways
- Shifting Landscape: OpenAI's transition towards a for-profit model raises questions about its commitment to ethical AI development, particularly as leadership exits indicate a drastic change in company culture.
- Human-AI Interaction: Advanced voice capabilities mark a significant advancement in how people interact with technology, making it imperative to understand and regulate these interactions ethically.
- Job Displacement Risks: AI's ability to automate tasks previously done by humans poses significant risks for job markets, particularly in customer service and creative industries.
- Investment in AI Infrastructure: The future of AI will depend heavily on significant investments in infrastructure, which could shape global economic dynamics and technological capabilities.
- Importance of AI Education: As AI continues to evolve, ongoing education and training in AI technologies will be crucial for businesses to remain competitive and responsible.
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Further Action Items
- Upcoming Events:
- AI Business Transformation Course on October 28, 2024.
- 2025 AI Planning Webinar on October 17, 2024.
- Recommended Actions for Listeners:
- Engage with the new AI voice features to understand their capabilities.
- Stay informed about ethical implications and regulations related to AI advancements.
- Consider enrolling in AI education courses to enhance understanding and application of AI in business.
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Conclusion This episode of *Leveraging AI* addresses critical themes surrounding the evolution of AI, its ethical implications, and the necessity for robust infrastructure and education. As AI becomes increasingly embedded in various sectors, the dialogue around its responsible use and regulation remains vital for shaping a beneficial future.
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*Listeners are encouraged to leave reviews, share the episode, and subscribe for upcoming discussions and insights into AI.*
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00Hello, and welcome to a weekend news edition of the Leveraging AI. The podcast that shares practical, ethical ways to leverage AI to improve efficiency, grow your business, and advance your career. This is Isar Maitis, your host. And while last week was the week of AI Agents Explosion, this week we have multiple topics. All of them are fascinating. Some of it are major changes in OpenAI, in their leadership. That is not the first time, but it seems to be the final nail in the coffin of the nonprofit version of OpenAI. We're going to talk in depth about that, but also lots of fascinating news from other leaders in the industry, as well as impacts to creativity with amazing new video capabilities and its impact on Hollywood, as well as some big, bold predictions from leadership in the industry.
0:49So we have a lot to talk about. By the way, I'll be speaking at the AI Realize conference in San Francisco on Wednesday, October 2nd. So if you are there and you're a listener of this podcast, I would love to meet you. So come and say hi. And now let's get the news started.
1:13If you've been a regular listener to this podcast, that there's been major departure of senior leaders in OpenAI since the big event of the ousting of Sam Altman as the CEO, and then his return, and then all the turmoil that came after that. So one after the other, more and more leaders from OpenAI has left. And this week, there was another big earthquake in OpenAI when Mira Moradi, the chief technology officer of OpenAI for the past six years, has announced that she's leaving the company to, quote unquote, pursue personal exploration. Immediately after that, Chief Research Officer Bob McGrew and the VP of Research, Barrett Zoff, have also announced that they're leaving OpenAI.
1:59Now, these are top leaders on the technical side of OpenAI that are leaving the company. That's in addition to Greg Brockman, who is on personal leave until the end of the year, which that's not very clear what that means, but he announced at the same time they announced the launch of O1. What does that tell us? All of this is happening as OpenAI is in the midst of raising amounts that are not clear yet, but it's going to be probably around$6 to$7 billion and around$150 billion in valuation. Now, there's some big names that are going to be a part of that investment, including some of the biggest companies in the world, including Apple and potentially Google, as well as obviously Microsoft, who invested in the first one and a few other big investing firms.
2:49None of these companies, I think, will agree to the current structure of the company. And hence, there's been discussions and rumors for a very long time that OpenAI is probably going to separate itself from its origin, which is a nonprofit organization that was built to benefit humanity with AGI. And this seems to be, as I mentioned earlier in the opening, might be the last nail in the coffin. Now there's only three people of the original founders of OpenAI and its leadership that are still in the company. Out of 13, everybody else has left. Now that's not the first time that a company gets founded and then people are leaving.
3:27But I think most of these departures have to do with the fact that OpenAI has left the direction that it initially took that people signed up for, both in means of the purpose of the organization, as well as the level of importance of safety in that environment. So to benefit humanity, you need to be very cautious with what you're doing. And I think that has went out the window for a very long time now. And we've seen multiple examples in the past year about that. So the departure of such important figures in the company is obviously a big deal. And I think it hints that if you want takeover of Sam Altman over the company to lead it in the direction he feels is the right direction is very obvious.
4:15I think there's going to be very little opposition to Sam moving forward. And I think we will see OpenAI changing into a for-profit company sometime in the near future and then raising this initial amount of money, which again, I don't think is a lot of money. And we're going to talk a lot about money in this particular episode, including about OpenAI, but they're going to raise$6 or$7 billion, at least in this round. And I think they're going to raise a lot more than that in the coming year. But the other big interesting piece of news coming from OpenAI this week is they finally released the advanced voice mode.
4:52So OpenAI demoed advanced voice mode a day before Google made their announcement early this year, but they did not share it with us until this week. There were a lot of rumors why, that it wasn't ready, that it's dangerous. There were a lot of issues with the voices that they were using that sounded too much like celebrities and people didn't like it, but it's now available and it's released and you can start using it. I must say that I'm using OpenAI with voice for a very long time now, mostly my voice inputs. Instead of typing, I just talk to it and tell it what I wanted to do. But I never actually tried to have a conversation with it.
5:29Or I tried once or twice before and it wasn't great. And this week I found myself driving back home late at night and I wanted somebody to talk to and I didn't want to bother anybody. And it was the day that this was released. I was like, okay, that's going to be interesting. I'm going to be speaking at this conference next week and I have different ideas on what exactly I want to change and focus my presentation. And I need somebody to brainstorm this with, and this will be interesting. And I had a 20 minute conversation with the new advanced voice mode, and I must admit it's incredibly good.
5:59Now, in the beginning of the conversation, it was really awkward because it's weird having a conversation with a machine. I must admit that about five to 10 minutes in, you totally forget about the fact that it's a machine and just having a great brainstorming session with somebody who's an expert on any topic that you want. So it was really a helpful thing for me as I was preparing for my presentation next week. But I think in general, this is an incredible capability that I think is going to take over the way we communicate with machines and computers moving forward, because it just makes so much more sense to communicate just like we always communicate with our own voice versus having to type, which is very cumbersome and slow and doesn't make any sense unless you were forced to do that because that was our way to interact with computers until now.
6:56So I think this has profound implications in the near future to how people are going to talk to machines. And I also think that you should try this out because it's a very interesting experience. For me, one of the weirdest things was I was telling it about the conference and what my plans are, and I asked it for its opinion. And then it started talking for a few minutes about what it would do and what it would change and about things about the topic. And it's not what I wanted, but I felt uncomfortable stopping it in the middle of the sentence, which is weird because it's a machine and it's not going to be offended if I stop it in the middle of a sentence.
7:27But I think it's something we will get used to very quickly and we'll be able to find the right way to work with this, just like we learned prompt engineering and other capabilities to make the most out of these AI capabilities. Now, this advanced voice mode was released in the US, but it was not released in the EU because there's restrictions in the EU AI Act that is preventing it from being released. Specifically, the AI Act has specific clauses that are saying that AI systems will not infer emotions from actual people. And this tool has the ability to detect and inflict emotion. And so it's currently not allowed to be released in the EU.
8:11I don't think when the EU has put this law in place, they had that particular use case in mind. There's obviously pros and cons in here. On one hand, it's going to put the EU people and businesses in a disadvantage compared to other people on the planet that will be able to use this functionality. On the other hand, it's protecting them emotionally from these tools, potentially manipulating their emotions. And so I'm not sure where I'm on the fence on all of this. I'm sure we're walking into a very weird future right now. So this is not science fiction. This is not five years down the road and we have time to think about it.
8:49This capability is available right now. So what's the right approach to this? I'm not 100 % sure. I definitely think we need very clear regulations on what these tools are allowed and not allowed to do. And I think they need to be enforced very aggressively with very severe consequences to whoever is not following those rules. By the way, the flip side of these rules, and if I already mentioned the EU, LinkedIn has started scraping user data to train AI models. They initially claimed it's just to train their own models, and then they said it might go to Microsoft as well. So it's not very clear what the training goes for, but they've done this without changing their terms and conditions, which means they're practically breaking the law, just like anybody else who's scraping data to train their AI models.
9:42only they did it on their own platform for their own users that has an agreement with them, which is obviously wrong. They went and corrected that as soon as they got caught and this went out. But if you want to switch it off, you can do this in your settings. So in your settings, they have a toggle switch for what they call use my data for training content creation AI models, and you can find it in your settings and switch it off. And then they presumably are not training on your data. That being said, a lot of other companies are scraping LinkedIn to train on that data. So all you're doing is preventing LinkedIn from training on your data.
10:19You're not really preventing that from anybody else. The reason it's connected to my previous news is they did not do this to people in the EU. So obviously these regulations are working. They are protecting the individuals who own the data and the companies who own the data and the people who are sharing information online from having their data being used for other reasons. And so I do think that regulation works. I think that clear guidelines on what companies are not allowed to do with very severe consequences is the only way that we can protect ourselves from the negative aspects of this AI future.
10:57That being said, there's issues with open source models, and we're going to talk about that later on today. But back to OpenAI, Sam Altman, as we know, has been pushing for a while for a very significant investment in AI-related infrastructure. There was the whole conversation earlier this year about raising$7 trillion from multiple bodies around the world, including Saudi Arabia. But now Sam Altman has released a blog post actually on his own personal website and not through OpenAI advocating for how critical it is that the US specifically invests significantly in infrastructure that will drive AI growth.
11:38He went as far as saying that not doing so may lead to lack of infrastructure and resources, which is a similar situation that in the past had led to significant wars. So in Sam Altman's eyes, and I never underestimate his vision, he believes that AI is the power of controlling the future. And so governments will have to invest to do that or go to war for those resources. That's obviously not something I think anybody wants, but that might get there. Now, in parallel to all of this, Microsoft and BlackRock, one of the largest investment companies in the world, has launched a$30 billion fund for AI competitiveness and an energy infrastructure all tied into AI infrastructure in the future.
12:30The White House has held a roundtable with AI leaders to discuss that. And so it's definitely a focus, but it's also a very big problem because there's no clear path to profitability. It doesn't necessarily, putting large data centers in specific cities doesn't necessarily provide any economic benefits to that region because it's mostly data. There's not a lot of jobs that it generates. We talked in the past about several different reports, including from Goldman Sachs, that's saying there's no clear path to ROI to any of those big investments that are being made right now. The negative environmental impacts that these data centers have right now is significant because they require a huge amount of water to cool them down.
13:18They require a huge amount of electricity that currently also comes from fossil dependent energy. And there's obviously a lot of discussions on how to build nuclear reactors in order to drive them and so on. But either way, there are a lot of implications to pushing that forward. And there's also the other negative impacts that we talk about a lot in the show, which is weaponizing these systems, which there's zero doubt in my mind, it's already happening. So building AI driven or quasi AI driven weapons and deep fakes in the news and AI generated misinformation and disinformation and job displacement.
13:56So there's a lot of negatives in that. But the fact that there's a huge push forward to provide the right resources for that is undeniable. And it's happening right now. And you just need to be aware of that and try to impact that as much as you can, mostly in the awareness and education about the negative implications to hopefully prevent them or at least minimize them as much as possible. Now, also in his blog post, which by the way, was called the intelligence age, which he released this past week, he also talks about the fact that AGI is imminent and it's actually coming pretty fast. So he used the phrase a few thousand days.
14:34I don't know how much is a few thousand days, but it sounds to me like less than five to 10 years, which was the previous assessment. So if we use the concept of a few thousands, not a lot of thousands, we're talking about 2 ,000 to 3 ,000 days, divide that by 365 days a year, you're in, I don't know, four to five years timeframe where we're going to have super intelligence or AGI. The truth is, as I mentioned in this podcast several times before, it doesn't really matter when AGI is achieved because every single milestone along the way has very significant impacts already. So GPT-01 is already better than PhDs in many different topics in answering questions, doing research, solving complex problems.
15:21So we don't need to wait for AGI to get all the implications of what it means to the workforce, to society, to education, to healthcare, to all these different things that make us what we are as far as a society. And speaking about education, about AI, OpenAI has announced that they've launched the OpenAI Academy, which is an initiative aiming to boost AI skills and career in developing countries. So low and middle income countries. So this is obviously fantastic, right? It's a great thing. And I really hope that more companies go in that direction. And we're going to talk in a minute that Google is actually doing similar things.
15:59But the funny thing or sad thing, if you want to be realistic, is that they've assigned$1 million in API credits for that fund. That's not a lot of money. That's actually a negligible amount of money in the big scheme of things. Now, in addition, they're going to do other things in the program. They're going to host incubator and contest. They're going to be providing access to AI experts and developers for these developing countries. And they're building a global network of developers to foster collaboration and knowledge sharing and so on. So fantastic. This is great. I think, again, it's a good idea.
16:38I think it's an initiative that has to move forward. But the amounts are just so sad because they're so small compared to all the other numbers that you hear. So we just talked about the fact that they're planning to raise$7 billion. and out of that, they're investing$1 million or maybe a little more because there's going to be all the infrastructure around it, let's say$5 million, let's say$10 million in providing AI education across the world. That's not enough. Now, in parallel, Google has announced that they are launching$120 million global AI opportunity funds. So Sundar Pichai announced that in the UN summit in New York this week, and it aims to expand AI education and training around the world, focusing on local language.
17:23So using Google Translate, they can take that content and knowledge and deliver it across the world very effectively. And they're going to do this through partnership with different nonprofit organizations around the world. So again, great news,$120 million. That's a way bigger amount than OpenAI is investing, which makes sense. Google is a much bigger company with insane amount of positive revenue versus OpenAI that are losing billions every single year. But to put things in perspective, there was another article this week that talked about the return of Noam Shazir into Google. So a quick recap, we talked about this a few weeks ago.
17:57Noam Shazir was a leading Google AI researcher who left due to disagreements with Google and founded Character.ai and recently OpenAI in a weird licensing deal, did not really buy Character.ai, but they assimilated Character.ai. So this particular piece of news says that they've done the math on how much money actually was involved in that overall process to getting Noam Shazir and his team, to be fair, into OpenAI. And the number is$2.7 billion with a B. So Google invested$2.7 billion in getting a few leading researchers back into Google, but they're going to invest$120 million in Global Opportunity Fund.
18:45So again, you see where the funds are being invested right now. The real money, all of it, or the vast majority of it, is invested in driving these models faster and better in a fierce and insane competition that nobody knows its implications, and investing some of it to say, hey, look, we're going to go to the UN and we're going to announce this global fund. That sounds amazing. But in the big scheme of things, this is cents on the dollars or not even that. in the amount of money that these companies are investing in actually driving the models forward. We have been talking a lot on this podcast on the importance of AI education and literacy for people in businesses.
19:27It is literally the number one factor of success versus failure when implementing AI in the business. It's actually not the tech. It's the ability to train people and get them to the level of knowledge they need in order to use AI in specific use cases successfully, hence generating positive ROI. The biggest question is how do you train yourself if you're the business person or people in your team, in your company, in the most effective way? I have two pieces of very exciting news for you. Number one is that I have been teaching the AI Business Transformation course since April of last year. I have been teaching it two times a month, every month since the beginning of the year, and once a month all of last year, hundreds of business people and businesses are transforming their way they're doing business because based on the information they've learned in this course.
20:23I mostly teach this course privately, meaning organizations and companies hire me to teach just their people. And about once a quarter, we do a publicly available course. Well, this once a quarter is happening again. So on October 28th of this month, we are opening another course to the public where anyone can join the courses, four sessions online, two hours each. So four weeks, two hours every single week with me live as an instructor with one hour a week in addition for you to come and ask questions in between based on the homework or things you learned or things you didn't understand. It's a very detailed, comprehensive course that will take you from wherever you are in your journey right now to a level where you understand what this technology can do for your business across multiple aspects and departments, including a detailed blueprint of how to move forward and implement this from a company-wide perspective.
21:24So if you are looking to dramatically impact the way you are using AI or your company or your department is using AI, this is an amazing opportunity for you to accelerate your knowledge and start implementing AI in everything you're doing in your business. You can find the link in the show notes. Just open your phone right now, find the link to the course, click on it, and you can sign up right now. The other piece of news is that many companies are already planning for 2025. And we are doing a special webinar on October 17th at noon Eastern. So that's a Thursday, October 17th at noon Eastern.
22:05We're doing a 2025 AI planning session webinar when we are going to cover everything you need to take into consideration when you're planning HR, budgets, technology, anything you need as far as AI implementation planning in 2025. We're going to cover all the things you can do right now. So still in Q4 of 2024 in preparation to starting 2025 with the right foot forward, but also the things you need to prepare for in 2025. If that's something that's interesting to you, find another link in the show notes that's going to take you to registration for the webinar. The webinar is absolutely free. So you're all welcome to join us.
22:47And now back to the episode. Now, another really interesting piece of news that came out this week that is related to OpenAI is that Johnny Ive, who is a legendary Apple product designer, who is behind some of the most notable products in tech history. He left Apple a while back to start his own company, and it's called Love From. And there were rumors that he's working together with Sam Altman from OpenAI on an AI product, a physical product. And this week he confirmed these rumors. So the goal of what they're working on, and I'm quoting, is to create a product that uses AI to create a computing experience that is less socially destructive than the iPhone.
23:31That's it. They didn't mention what it's going to be. They didn't mention exactly what they're working on, but it's going to be some kind of a device, probably a wearable device that you don't have to hold in your hand. So this could be glasses, this could be a pin, this could be an earbud, this could be many different things. We don't know the shape and form that it's going to take, but we know the two of the most advanced minds, one in creating products and the other one in creating usable, addicting consumer products, and the other in AI are working together on something like this. Now there's devices like this today, and we're going to talk about a few new capabilities like that that's moving forward.
24:10But Rabbit that came out and had a horrible device, there were different pins and necklaces, and they all didn't have very good success. A, because they just weren't good enough and they didn't deliver on what they were promising. But B, and that problem will continue to exist, is there's a lot of ethical questions in privacy. When somebody's wearing sunglasses and you don't know if they're recording you and analyzing you while they're talking to you, There's a big problem there. The thing that I see is that resistance is futile in this particular scenario because this is coming. How exactly are we going to figure it out?
24:46I don't know, but we will have to because I don't see a future in the near future where this doesn't exist, where everybody's wearing a device that is connected to AI that can help them analyze everything that they're seeing and take actions in the digital world that's connected to what's happening in the real world. And some of it could be really cool, like you're seeing something wearing something that you like, and you can ask what they're wearing, and you can order it online with two seconds without actually clicking or opening anything. That is cool. And there's analyzing of rocks that you find that are interesting, or identifying animals or plants, or knowing how to navigate in a city you've never been to, or talking to people in the language you don't understand.
25:24Again, there's a lot of beneficial things to it, but there's a lot of really bad things that can be done with it. And we have to find a way, again, as a society to deal with that. But again, whether we're ready or not, these products are coming. And to continue in that thought, Meta just unveiled its Orion augmented reality glasses prototype in their Meta Connect event this past week. So Meta had a huge event. We're going to talk a lot about different announcements that they made. But the coolest stuff, and again, the most exciting and troubling stuff that they announced is this new pair of glasses.
25:59So as Meta has this partnership with Ray-Ban, when they already released consumer grade glasses that has a camera and a microphone, and you can do different things with it. But this is a whole different kind of animal. And it's worth going and watching the demos of Orion from the Meta announcement. It's very cool. It knows how to do eye tracking and hand tracking and voice control. and there's like this cool thing, wrist user interface where you can type out your wrist to do things. And it comes with its own set of AI features and relatively small batteries. Right now, this thing costs a fortune.
26:34So Meta's Reality Labs, which is the developer behind this thing, has lost$16 billion in 2023. That's obviously not the only thing that they've developed, but it tells you how much money goes to the development of this. And I think one of the challenges is going to be how do you make this thing, which is amazing in some of its capabilities, in a cost or a price that people will be willing to pay. But the other questions are all the questions that I asked earlier. What does it mean to society? How do we live in a world where everybody's recording everything all the time and analyzing with AI everything all the time?
27:09As I mentioned earlier, that's where we're going. Start thinking about it. If you have any ideas, raise your voice and let's try to figure it out together. Now, the other thing that Meta announced this week, surprisingly, roughly at the same time that OpenAI announced their advanced voice mode is that you'll be able to communicate with Meta AI using your voice and getting answered by different voices. Some of these voices are AI voices, but some of these voices are voices that they licensed from specific celebrities, such as Judi Dench and Kristen Bell and John Cena and Awkwafina and Keegan-Michael He.
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27:43And again, the timing is interesting. I don't know if OpenAI chose to finally release their voice thing because of this announcement from Meta and they didn't want to be left behind, even though they demoed because they've demoed their capability six months ago and they sat on it to make it quote unquote better, safer, whatever it is that they were doing. And now they released it at the same week as Meta. So I think maybe one has to do with the other, but this feature will be available immediately across all of Meta's family of apps, including Facebook and Instagram and WhatsApp. So you can start using that voice functionality starting right now.
28:18They're probably rolling it out. So if you don't have it in your phone today, you will have it sometime in the next few days. Meta also announced the launch of Llama 3.2, so their latest and greatest open source model. And the biggest difference from previous model is that Llama 3.2 is multimodal and it knows how to understand images. So all the meta models before were text only, and now you can insert images into the conversation and it knows how to understand them and relate to them and work with you on what it's actually seeing. That's obviously connects very well to having glasses that can understand what's happening in the world around them.
28:54So all of this technology is being developed in tandem with a much, much bigger vision. But right now what they're giving us is the capability to work with images in the models. They released two different models, one with 11 billion parameters, the other with 90 billion parameters. And they also released two new versions of text-only models with 1 billion and 3 billion parameters that are faster and cheaper than the bigger ones to use and still better than the previous text-only models. The LAMA 3.2 model comes with 128 ,000 tokens context window, which is much bigger than we had from them before.
29:28and it's aligned with what you get from ChatGPT today. So a very capable model that is running open source and they're claiming that it's very good at understanding images, including charts and graphs and captions on images and it can identify objects and create descriptions of them and so on. Now I wanna connect this to something that you may or may not be thinking of. Meta has the largest inventory of images in the world by a very big spread and that spread is growing every day because of the amount of images people are uploading to Instagram and Facebook and sending on WhatsApp. They had the ability to analyze those images for a very long time.
30:08The only thing they're doing right now is releasing it to us in a way that we can make sense in it and not just running in algorithms in the background. So all they're doing is they're taking something they've been researching and working and deploying for a decade, and they're giving access to us to be able to use it on top of the existing infrastructure and platforms that we already know. Now, they're also claiming that Meta 3.2 is competitive to Anthropic Cloud3 Haiku, which is their smaller Cloud3 model, and to ChatGPT 4.0 Mini, which again is the smaller model from ChatGPT, and that it's better than the other open source model like Gemma from Google in the open source world.
30:51So it's a very capable new model that is completely open source that you can get access to on all the normal places where you get access to open source. So there's either Meta's websites or HuggingFace or Llama.com. But they're also integrating all these capabilities into their ad generation and to their enterprise solution. So enterprises can now build agents to do customer interactions and help with purchases on the Meta platforms that connects to all the agent craze that we talked about in the past few weeks and specifically last week, they are saying that one million advertisers are already using Meta's generative AI tools to create images and to create descriptions and so on.
31:31And they're claiming that there's an 11 % higher click-through rate and a 7, 6 % higher conversion rate from AI-assisted ad campaigns, which connects to my concerns and the EU concerns and so on, that these models are very good and very convincing to humans to take actions or think in a specific direction, which on one hand is great for advertisers, on the other hand, scary to anybody else. And the final piece about Meta and part of their announcement is that they've announced that their Imagine feature, which is their ability to create images, is rolling out in a new functionality to all their platforms, fully integrated with the existing user interface.
32:15So users across Facebook and Instagram and WhatsApp will be able to create images and as part of their stories, as part of their profile pictures, and as part of everything else that has to do with communicating and using these platforms. Some of this existed before, but they've added more and more places where you can use the functionality natively within the existing apps. I'm going to quote Mark Zuckerberg in order to explain to you exactly what the vision is. So he's saying unlimited access to those models for free, integrated easily into our different products and apps. So the move is very clear.
32:55They have billions of people using their products every single day and making the AI functionality available within the native apps in a way that people have used the apps before makes a very fast adoption. So they're currently claiming that they have 500 million monthly active users to the meta AI capabilities. And they predict that meta AI will be the most used AI assistant in the world by the end of this year. And again, they're saying that because it's just going to be a part of apps that people are using anyway. So they have a huge amount of distribution and a very loyal customer base that we're just going to use this seamlessly within the existing applications.
33:40Now let's move from Meta to Anthropic. We talked about OpenAI raising money. So Anthropic is also searching for the next raise. And the next raise is supposedly is going to be from a 30 to 40 billion valuation, doubling their valuation from their previous round earlier this year. To put things in perspective, the assessment right now is that Anthropic will end this year with$800 million in revenue, which is significantly less, by the way, than OpenAI. OpenAI is projected to end the year with around$4 billion in revenue. But Anthropic is burning, again, projected about $2.7 billion. So they're short$2 billion just for the year of 2024.
34:27So these companies are burning through insane amount of cash, both on talent that we talked about before, how much Google spent for bringing back one person with his team. So a huge amount of money on talent, but also a lot of money on training and inference for all the models that they're running. An interesting announcement from Anthropic this week, they have released what they call contextual retrieval, which is a new methodology that allows to get significantly better results when doing RAG, which is getting AI to respond based on information that you provided. So your documents, your databases, and so on.
35:02And they're claiming that it reduces the error rate by 67%. So significantly less hallucinations by using this. I'm not going to go into the details of exactly how to do this, but they're saying that they've tested it across various domains, such as writing code, writing fiction, scientific papers evaluations, financial document analysis, and so on. And they have released what they call a cookbook. So basically how you can implement this to make the most out of your data. So if this is something your organization is trying to do, it's worth researching what Anthropic just released. Now, speaking on model releases and new functionality, Google has announced two new models in their platform, Gemini 1.5 Pro 002 and Gemini 1.5 Flash 002, which is just a new variation of the previous model that they released.
35:54The biggest differences are that it's 15 % faster and their increased rate limits. So you can do more requests per second through the API. They're also claiming higher benchmark performance, like 7 % improvement on MMLU Pro and 20 % improvement on math heavy benchmarks. So better models for cheaper that work faster. And that's has been the trend all along. And that's going to continue being the trend where we're going to get better and better models that work faster and that cost us less, which connecting to everything that we said before has a lot of beneficial aspects, but also a lot of negative aspects as well.
36:35Now, since we mentioned a little bit about fundraising. Flux, the company that has gave us the image generation capability by Black Forest Labs that has been integrated into Grok, which is the AI model that runs within X for its paid members, are looking to raise additional money. They just came out of stealth a couple of months ago, sharing that they raised$31 million so far, and they're currently looking to raise$100 million, about$1 billion valuation only a few months after releasing their product. As somebody who's been using their product, I can tell you it's absolutely amazing. It's the only image generation model right now that in my eyes compete with MeJourney.
37:16And so obviously developed by people that are very capable. And the thing they're going after, in addition to improving their image generation capability, is they're going to use the money to develop a state-of-the-art text-to-video tool that I'm going to be very excited about. And now we're going to talk a lot about video generation, what's happening in that field, because a lot is happening. So we talked a lot about that in the past few months. And I told you even before that 2024 is the year of AI video generation. I said that, by the way, in 2023, but it's turning to be highly accurate. One way, the company that maybe has the most capable model right now that is available to us, has announced that they're releasing an API for their platform.
38:02So it's currently only available for limited access and on a wait list. It offers the Gen 3 Alpha Turbo, which is their faster, slightly smaller model than their flagship Gen 3 Alpha without the Turbo in it. And the pricing for it is going to be one cent per credit and you need five credits per second. So basically five cents per second, which means to produce a total of one hour of videos, you're going to pay$180. Now, that sounds a lot for AI users who are used to pay$20 a month for everything or get stuff for free. But if you compare$180 for an hour worth of video production, it's negligible.
38:39It's basically free, zero compared to historical ways, traditional ways of producing video with lighting and cameras and actors and audio and editing and so on. So the number of$180 for an hour worth of video produced is basically free compared to traditional ways. And it's very powerful. And now it's going to be available through an API. That obviously has profound implications to the whole creative and video generation industry. A study done by the Animation Guild this year is projecting significant impact on this industry, and they estimate that 100 ,000 jobs in the entertainment industry are going to be affected by AI in the next two years.
39:28Now, at the same time that Runway made their announcement, And Luma, which is their biggest competitor in the Western Hemisphere, has announced that they are releasing an API for their platform called Dream Machine. So Dream Machine API is now available. So not just on waitlist, you can actually get access to it right now. And it's roughly the same amount of price as the Runway API. It's going to cost you about$252 for a full hour of video production. Again, you cannot produce a full hour of video. you produce very short videos. But if you need to produce a total of a full hour just to compare the two, it's going to cost you$252 versus the$180 on the other model.
40:08The whole AI-generated video world has been booming. And we talked a couple of weeks ago about Adobe releasing their enterprise-safe Firefly video creation. We talked about Alibaba's models, which are amazing. We talked about some other Chinese models, which are providing amazing capabilities. So this is running very, very fast. And that's before OpenAI has released Sora. So Sora, which was announced very early this year and demoed very early this year, I think February, which I think sent this whole craze into hyperdrive, has not been released yet other than to a few large groups from the industries like Hollywood Studios and so on to figure out how to release it safely and in a better way.
40:53It still produces better videos, longer videos than any other platform that is available to us today, but it was not released to the public. OpenAI has announced that they have a Dev Day in the beginning of October. Maybe we will learn there when this is coming out, or maybe we'll even get access to Sora right there. And then I assume they're going to release it soon because there's a lot of competition that is gaining a lot of traction, and I don't think they would want to stay behind. Now, speaking about Hollywood and the impact of AI on it, Lionsgate, which is a small size production company, and when I say small, they're a huge company, but they're smaller compared to other studios, has announced a partnership with Runway to allow Runway to train on Lionsgate existing content of both film and TV portfolio.
41:44That is a huge amount of content that will be allowed to train on with some big name movies and TV shows. And the goal is to create an AI generation capability for Lionsgate to be able to produce new content based on their existing content. Or if I'm quoting, as they mentioned, augment their work with AI. Now, I want to take you back about a year where in the summer of last year, there was a big strike by the writers and the actors that were trying to protect their future against the usage of AI and how it's going to impact their jobs. And there was a very long strike and eventually they won and got the agreement they wanted.
42:23And when they did, I said that there's no way this agreement will help them in the future because once you will come to the point of whether your studio is going to go out of business or will have to use AI, the studios will have to use AI. Now, what does that mean for actors? What does that mean for writers? I don't exactly know, but it doesn't look as bright as today. Now, I know what some of you are thinking. There's still going to be a place for human actors. Absolutely. And there's still going to be a wait for celebrities playing in big featured movies. But that being said, if you go to the east side of the world right now in China, in Japan, in South Korea, there are already AI celebrities that are not real, that are generated by AI, that are followed by tens of millions of people that are buying product from them, that are watching their TV shows, that are watching their concerts that they're putting together, and they're not real.
43:19They're all AI-based. So if you don't think there's going to be a Western hemisphere, Hollywood-based fictional AI characters that are going to be as popular as Tom Cruise and Taylor Swift, think again, because it's coming. So again, the implication to the entire entertainment industry are profound like many other industries, but maybe even more. And it's just a matter of time until we're going to see more and more AI generated content. On the beneficial side of this particular agreement, I see very interesting business models that are actually beneficial to everyone with this new kind of training.
43:54So let's say you have an actor, a real human actor that has participated in a series of movies or in a TV show, and he's highly popular. And now you can create ads with that person that connect back to scenes and themes and actions that happen in that movie without having to bring the actor over, without having to film. So you can generate these ads at a much cheaper rate, saving everybody money, still selling the same product in the same level of success, still compensating everybody along the way, including the actor, including the studio, while making money for the people who want to sell a product with significantly less overhead.
44:32So there are definitely benefits in that process. The ability to spin out new shows for us and new videos for us and new movies for us that we would like to watch much faster, much cheaper, which will allow us to get more creative content because a lot of the money is not going to be spent on production. It's going to be spent on creating better content for us because you'll have more money to spend on that because the production is going to be probably two orders of magnitude cheaper. I'm going to shift to some interesting announcements that are not necessarily industry specific, but are very important for us to understand from the future that we're going into.
45:11So Mark Benioff, the CEO of Salesforce, has made a very interesting statement this week. And he basically said that AI and human customer service agents are now indistinguishable. Basically, what that means is that when you are either chatting or talking to a customer service agent, there is absolutely no way for anyone to know whether that customer service agent is human or AI based. We talked a lot about the topic in this podcast in the past year from the early announcement this year by Klarna that they were able to do the work of 700 full-time agents with AI assistants that are getting better scores as far as customer service than the actual human agents.
45:55There's Octopus Energy that is reporting 80 % customer satisfaction on email assistants versus 65 % satisfaction when it's provided by humans. So again, a 15 % spread for better results by the AI. The flip side is their companies obviously tried stuff like that, like McDonald's were trying to get automated order takers, which failed and they tried it in a hundred restaurants and didn't do properly. But I think it's just wasn't done well enough because it's very obvious to me that when it's done well, and like Mike Benioff just confirmed, there's no way to know. And these agents run 24-7, 365 days a year.
46:33They never get tired. They never fight with their spouse. They're never in a bad mood. They know how to speak any language on the planet and they're connected to all the databases so they can get much faster answers and resolve issues faster than human agents. So I think the whole customer service industry is going to go through a very dramatic change in the next couple of years. Now, what does that mean for jobs for this huge industry? I think you understand very well what it means for jobs in that industry. I don't think we're going to have human customer service agents at all, other than maybe supervisors and higher level of people to deal with very specific unique cases within five years from now, potentially sooner.
47:14And again, to add one last thing to that, these models that now can speak and understand what we speak, understand emotion and simulate emotion as if they have emotions, which they obviously don't, these models have the capability to be very persuasive. So Joshua Bengio, which is considered one of the godfathers of AI, one of the leading researchers in the field for decades, He's a Turing award-winning computer scientist. He says that there are serious risks with the new O1 model that just came by OpenAI by its ability to lie compared to previous OpenAI models and compared to other models that exist today.
47:54And he's talking about the fact that he will do anything, including lying, including deceiving people in order to achieve the goals that were set for it. And this was proven in several different experiments by third-party companies, including Apollo Research. So what does that mean? It means that, again, we have, as a society, to figure out ways, together with governments, together with these companies, together with, hopefully, international partnerships, to find ways to put limits on what these tools are allowed and not allowed to do, to put very significant implications to anybody who doesn't follow these regulations.
48:33so we can benefit all the amazing capabilities that these tools bring to the world while minimizing the potential negative impacts of that. That's it for this week. There's a lot of other news. There's probably 15 different things that did not go into this episode. If you want to know what they are, sign up for a newsletter that has all of that. It has announcements on all our events and training that we're doing, which are deep dives into very specific topics. We have hundreds of people who participate in those training sessions every single week. So if you want to know how to do that, just open your app right now.
49:06In the show notes, there's a link to sign up for the newsletter. And in the newsletter, you can find all of that information, including all the news we don't put into this episode. If you are enjoying this podcast, which I really hope you are, and based on the growth in the listenership, I know a lot of people are. So first of all, I thank you for listening to the podcast and to continue consuming this. But if you're enjoying this, if you're learning from this, please consider opening your app right now, whether it's on Spotify or Apple Podcasts and reviewing this podcast right now. Pull up your phone and do this right now.
49:36And also while you're at it and you have the phone open, share this podcast with a few people that you think can benefit from this, whether friends or family or colleagues or other people that you know. I would really appreciate that you help the world by letting more people be more educated about the goods and bads of AI and how they can prep and learn more about it. And you're helping me to grow this podcast, which is your way to to participate in the process of driving AI literacy. We'll be back on Tuesday with a fascinating how-to episode where we're going to dive into how to do a specific AI use case that can benefit your business.
50:12And until then, have an awesome weekend.
From the publisher
What’s Really Happening Inside OpenAI? The Shocking Shake-ups You Need to Know!
Are major leadership changes at OpenAI the final death knell for its nonprofit mission? Or are we witnessing the next stage of AI evolution, where profits trump principles? The dramatic departure of top executives is more than just a headline – it’s a signal that things are shifting, fast.
In this episode of Leveraging AI, we dive into the latest news surrounding OpenAI, from the exodus of key leadership to their ongoing push toward a for-profit future. But that's not all – we’ll also explore AI’s influence on Hollywood, the explosive growth of voice-mode AI, and some jaw-dropping predictions that could shake up entire industries.
Here's what you'll discover in this week’s episode:
- Why the latest OpenAI leadership exits could spell the end of its nonprofit roots.
- How advanced voice-mode AI could change how we communicate with machines (and why it's so good, you might forget you’re talking to a machine).
- The mind-blowing implications of AI in Hollywood – are we on the brink of AI-generated actors and films?
- How big tech is racing to build the AI infrastructure of tomorrow, and why Sam Altman thinks failing to invest could lead to future conflicts.
- The ethical questions and privacy concerns that come with wearable AI devices, and why resistance may be futile.
- The impact of AI regulation in the EU and why businesses there could be at a disadvantage (or are they protected from something darker?).
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