Ep 305: TIME’s big AI partnership with OpenAI, Apple’s new AI plans – AI News That Matters

NBC Fosters Personalized Experience with AI-Powered Sports Casting

NBC's commitment to implementing AI technology points towards a future where artificial intelligence plays a significant role in media consumption. The unique application of AI that recreates sportscaster Al Michaels' voice for "Your Daily Olympic Recap on Peacock" indicates NBC's intent to leverage AI for personalizing the user experience. Resulting in potential 7,000,000 recap variations, it demonstrates the yet untapped versatility of AI. Despite the subscription hike to $14 a month for ad-free versions, the potential time-savings and personalization could warrant the price increase.

While holding high risks, this AI initiative could incite a widespread discussion, pushing the boundaries of media consumption if executed effectively.

Apple’s AI Strategy: Software-Driven Revenue Strategy Amid Hardware Lag

In the realm of big tech, Apple is shifting its focus, looking towards software and AI-driven services as key revenue growth drivers. This shift, reflecting a widespread industry trend, challenges traditional hardware upgrade cycles by emphasizing on extending device lifespan while potentially introducing subscription-based AI services in the future.

However, the likely requirement of newer models for optimal AI performance brings up concerns about higher cost and potential performance issues with early versions of Apple's AI features. This strategy seems more personal-AI focused than business side, posting uncertainties about its long-term growth effectiveness.

Time's AI Partnerships: OpenAI and 11 Labs

Time Magazine has also entered the AI arena through strategic partnerships with OpenAI and 11 Labs. The collaboration with OpenAI, involving access to Time's news archives, indicates a drive to utilize AI for easy access to news and generate revenue for big publishers. This move comes at a significant time amid ongoing lawsuits related to internet content and AI.

The partnership with 11 Labs introduces automated voiceovers on Time's website, underlining a commitment to increased user engagement and accessibility.

AI's Challenge to Academic Integrity: Case of University of Reading

Advancements in AI are no longer confined to technology or business sectors, but are influencing academia as well. The instance where AI-generated exam answers at the University of Reading surpassed human students' performance signals both emerging opportunities and challenges in the academic space.

As online and hybrid classes become more prevalent, detecting AI-generated content becomes critical in sustaining academic integrity. The increasingly convincing AI responses mirror human interactions, further challenging the detection of AI interference in evaluations and assessments.

AI's Impact across Sectors

In conclusion, AI's influence is expanding across sectors, from media to technology and education. As businesses and organizations adapt to these changes, the market needs to think critically about integrating AI into their future strategies while addressing the associated challenges.

Topics Covered in This Episode

1. TIME's AI deals with OpenAI
2. Apple's New AI Strategy
3. AI in Academia
4. Anthropic's Claude AI updates
5. NBC's implementation of AI

Podcast Transcript

Jordan Wilson [00:00:19]:
Is Time Magazine 1 of the most innovative companies right now in terms of AI? What does Apple's new AI plans mean for their long term strategy, and can anyone tell the difference between human and AI responses? We're gonna be talking about those things today and more on everyday AI. What's going on y'all? My name is Jordan Wilson, and I'm the host of everyday AI. And this is for you. This is your daily livestream podcast and free daily newsletter helping everyday people like you and me learn and leverage generative AI to grow our companies and to grow our careers. So if you're joining on the podcast, thank you as always. Make sure to check out your show notes for a lot more on today's, on today's episode as well as a link to go join our free daily newsletter where there's always a sign on gift once you sign on. So make sure to go to your everyday ai.com. Sign up for that free daily newsletter if you haven't already.

Jordan Wilson [00:01:13]:
Alright. With that, y'all, let's get it going because you can spend literally hours a week trying to catch up, keep up with the AI news, or you can spend your Mondays with us on almost every Monday. We do this live, y'all. This is unedited, unscripted. We just bring you the AI news that matters every single Monday. So let's dive straight into it. And for our livestream audience out there, you know, Brian and Tara and Raul, thanks for joining us. Let me know what you think of the AI news as we go along.

Jordan Wilson [00:01:44]:
A lot going on, today and this week. So let's get straight into it. So first, pretty big news here. Apple's kind of shift, towards software and AI. Pretty game changer in terms of their normal strategy. So according to reports from Bloomberg, Apple's focus on software and AI signals a strategic shift to drive revenue growth amid slowing hardware innovation. So according to these reports, the company is now aiming to extend the lifespan of its devices through software support and repair services, challenging the traditional upgrade cycle that is a little more hardware based. So the upcoming iPhone 16 lineup will highlight new, what they're calling Apple intelligence features, emphasizing the importance of recent models for optimal performance.

Jordan Wilson [00:02:35]:
So Mac and iPad users may be incentivized to upgrade for enhanced software capabilities, paving the way for potential subscription based AI services in the future. Apple's move toward AI driven services reflects a broader industry trend of leveraging software to sustain business growth amid evolving customer preferences. So this 1 will be pretty interesting, and, you know, we've talked about this, here on the Everyday AI Show a lot, just even in in general Apple's AI strategy. Right? They call it Apple Intelligence. I don't know. Is it just me all? Like, I struggle with that. Like, you know, Apple just trying to rebrand AI and call it Apple Intelligence. I still chuckle.

Jordan Wilson [00:03:18]:
Such an Apple thing to do. Right? I don't know how this is going to work in the long run. So I think in the short run, Apple is going to see some great gains from this. Right? We've seen their stock actually respond positively. Right? Even though they were the absolute last big, you know, tech company to roll out its own internal AI plan or to roll out its AI plan to users, which essentially Apple has a, on device AI that they built themselves. But for the most part, they're going to be leveraging OpenAI's GPT 4 o model. Here's where this kind of new long term strategy really plays out. So like I read off there, hardware sales have slowed down a lot for Apple and, well, a lot of other manufacturers.

Jordan Wilson [00:04:04]:
So what Apple is kind of hoping is to, compete with its software, and here's where that comes into play. Well, this new Apple Intelligence is only going to be available, at least on the iPhone on newer models. So it is going to require, the either the brand new Apple, iPhone 16, which I believe will be announced or sorry, released in, this fall, or a newer Apple 5th, Apple iPhone 15. So, it it seems like Apple may be relying too heavily on people upgrading their devices just to take advantage of this, quote, unquote, Apple intelligence. I don't personally see that working. Right? Phones are getting more and more expensive. Right? And and, yes, although signs of the, you know, the economy are going well, but I don't know at least here in the US if the average American is ready to spend, you know, a1000 to $1500, just to get a new hardware, right, to get a new, Apple iPhone just to take advantage of the new software. I don't think that that is going to stick, at least in the in in the short term.

Jordan Wilson [00:05:18]:
I'm sure there's gonna be plenty of people who may upgrade a little sooner. But it seems like, you know, when the iPhones first came out, it seems like people did, kind of upgrade every 2 years or so, you know, when the phones were, you know, 400, 500, $600. But now that they're, you know, 1200 to $1500 for a a higher end phone, I don't see this as a great long term strategy for Apple if I'm being completely honest. Right? Especially when, you know, you can get so much of this kind of, quote, unquote AI power for free. Right? So, you know, there's so many great free AI models out there. So, you know, it's it's kind of this balance between, you know, having this personal productivity because that's where Apple's really trying to play here. Right? They're trying to be the main company, I guess, going after this personal AI segment. Right? It doesn't even look like they're trying to compete on the business side.

Jordan Wilson [00:06:12]:
So pretty interesting here. And I don't think that this necessarily is a good strategy for their Mac line. I don't think that's what they're trying to do here, because any, any recent computer with the m 1 or m 2 or m 3 or higher chip, should be able to take advantage of most of the Apple intelligence, which is essentially any new computer over the last 4 or 5 years, or about, yeah, 3 and a half, 4 and a half years. Whereas on the iPhone side, it's only the most recent model. So it should be interesting. And, you know, I'm curious for our livestream audience, you know, Are you gonna upgrade your phone earlier than normal to get, you know, these Apple's, Apple intelligence features? Right? I don't know if I am, to be honest. I might wait another year. I think I have a I don't know.

Jordan Wilson [00:06:57]:
An Apple iPhone 13 or 14. I I don't have the the newest 1, so I'm not gonna get, you know, access to these Apple Intelligence features. I don't know if that's gonna be enough to cause me to upgrade early. And if Apple I don't know, you know, if there's someone that it should be your easiest target market. It should be me. Right? Like, the guy who talks about generative AI every day and who uses so many Apple products. If I'm not running and sprinting, to to, you know, upgrade my iPhone, I don't know if that's the best long term strategy. Right? Hey.

Jordan Wilson [00:07:28]:
Selling fewer, selling fewer iPhones. Let's just force everyone to upgrade sooner to take advantage of this quote, unquote Apple intelligence. Not sure if it's gonna work. Not sure if it's gonna work. Dini, joining us here said even if some people want to buy a new iPhone, iPad, etcetera, Apple will have a large user base that is essentially beta testing its AI features. That's a great point. You know, there that they don't have a lot of good data. Right? And that's another reason why I'm personally not running out and sprinting, right, to to get this because I think it's gonna be a little, buggy early on.

Jordan Wilson [00:08:05]:
Right? This is, everyone else. Right? When you look at Microsoft, Google, OpenAI, Anthropic. Right? They have millions of of, you know, users that have been using their their AI platforms for many months or in years, in the case of OpenAI, in in Microsoft. Right? So, yeah, I don't think the initial versions that are gonna be rolling out to Apple users is going to be that fantastic. Alright. Spent a little bit too long on that 1, but, let's let's keep going on with the AI news. So Time. Yes.

Jordan Wilson [00:08:36]:
Time Magazine might be 1 of the most innovative companies out right now. So, Time announced some big partnerships with OpenAI and 11 Labs. So Time Magazine has entered into a multi multiyear content agreement with OpenAI, granting the, AI company access to Times news archives more than a 100 years of content. So OpenAI, led by CEO Sam Altman, had previously signaled similar deals, and they've signed a ton of deals, actually, with very prominent media companies in the last couple of months, such as the Financial Times, Axel Springer, Lamond, I think the Associated Press, like so many, you know, OpenAI has just been signing partnerships. Right? Like, they're a new, you know, NBA team, and they just have to, you know, sign an entire roster. So this new partnership allows OpenAI to utilize Time's content for enhancing and training its AI products while Time gains access to OpenAI's technology for developing new prod products. So, you know, time is getting something more than just a fat sum of money that, you know, the sum was not announced. But, presumably, we're talking about a, you know, I would guess at least an 8 figure annual partnership to to be conservative.

Jordan Wilson [00:09:57]:
Right? We've seen, other, kind of similar deals like with Reddit, I believe was, $20, 000, 000 a year. So this collaboration aims to facilitate easier access to news content through AI tools, and that's coming from OpenAI's COO, Brad of Lightcap. So content partnerships like these are crucial for training AI models and can offer news publishers a means to generate revenue, addressing historical disparities in profit sharing with Internet platforms. Also, this deal is obviously very timely. Right? If you haven't been following along with what's going on in the world of content, It's been a lot of lawsuits. Right? I've been saying this for more than a year. You you know, I went on kind of a rant maybe, 9 months ago about how the Internet is unusable now, and a lot of that is because of AI, is because of large language models. Right? Because how the Internet has traditionally worked and how these content publishers, right, such as the Associated Press, such as Times Magazine.

Jordan Wilson [00:11:03]:
Right? How they get so much of their revenue, you know, in the Internet age. I'm a former journalist. You get the majority of your revenue, through ads, through online ad revenue. Right? And as these, you know, kind of AI, chatbots or, you know, answer engines, like perplexity, like Google Gemini, like OpenAI's ChatGPT, like Claude. Right? Essentially, what a lot of these, kind of AI products do is they just summarize. Right? So instead of going to, you know, 3, 5, 10 different websites to get that content, when you go out and get that every single time, these online publishers get a small little slice from ad revenue. Right? But now all these AI models do a lot of that work for us, and they summarize it, and they just give us the nuggets. Right? I spend so much less time on the Internet, whereas if I'm being honest, I used to spend probably hours every single day reading, researching, you know, different articles, different, news reports, etcetera, you know, for clients, you know, doing competitive analysis, etcetera.

Jordan Wilson [00:12:08]:
Now I don't do hardly any of that because of large language models, because of Internet connected large language models, especially. So, you know, essentially, what's been going on for the last year or so is just lawsuits. Right? And the future of SEO, in the future of online content, I think, is a big question mark. I've said this all along. I said there's not very many, options for publishers such as, the Financial Times, such as Associated Press, such as Time Magazine, such as The New York Times. Right? You can either sue these, AI companies such as OpenAI, such as Microsoft Copilot that uses OpenAI, such as Google. Right? So you can either try to sue some of the largest organizations in the world who are putting together a literal dream team of lawyers because they know this is coming. So you can either sue them.

Jordan Wilson [00:12:56]:
You can either try to form a, a lucrative partnership, or you can maybe just go out of business. Right? There's really no other choice in the long run. So this is interesting to see this roll out. You know, I think a lot of us are still waiting on what's going to happen in kind of the marquee lawsuit, which is The New York Times versus OpenAI and Microsoft. Presumably, that will be settled. We haven't really heard anything on that in a couple of months, but I think that is going to signal, what the future is going to look like in terms of big content publishers that haven't already, kind of, you know, jumped on board, you know, with 1 of these large language models or 1 of these big, tech companies. So pretty interesting move here from Times, from Time. And that's not their only move.

Jordan Wilson [00:13:37]:
They also partnered with 11 Labs. So Time and 11 Labs teamed up to add automated voice overs to time.com, allowing for access to trusted information in audio form, and this partnership is obviously looking to enhance engagement and accessibility, for readers on time. So hey. Even if time is gonna be getting fewer visitors to their website, at least those visitors are gonna be spending a little bit more time on page. Right? An important SEO metric, an important metric for those advertisers that are on time.com. So, time with some pretty impressive moves. Just this all dropped, you know, over, over the course of the last few days. So let's keep this going.

Jordan Wilson [00:14:21]:
More AI news. Oh, it never stops. It never stops. Alright. So this 1 here, some AI generated exam answers had fooled professors at the University of Reading. So in the UK, the University of Reading conducted a groundbreaking study where AI generated exam answers outperformed real students, raising concerns about academic integrity in the future of education. So research search researchers submitted unedited AI generated answers from chat gbtgbt4underfakestudentidentitiesforonlineassessments. And only 1 of 33 AI generated entries was flagged by markers with the most receiving higher grades than human students.

Jordan Wilson [00:15:08]:
No surprise there. Right? The study indicates that AI tools are becoming increasingly adept at passing undetected in academic assessments, posing a significant challenge to maintaining to maintaining integrity in education. Experts warn that the widespread availability of generative AI tools could lead to a surge in undetectable cheating in take home exams and coursework. Also, interesting note here. The authors mentioned in the study that AI, tools like Chat gbt were now passing the Turing test, a term inspired by Alan, Alan Turing, indicating the AI's ability to go undetected by experienced judges. This suggests that AI is reaching a new level where it can mimic human responses convincingly enough to deceive to deceive human evaluators. Alright. I'm not gonna go off on AAA small tirade here about did this, you know, pass the Turing test? I don't think so.

Jordan Wilson [00:16:03]:
This is obviously a very small case study at 1 university in the UK where only 1 of these 33 kind of fake identities or AI identities was detected. So it's it's no surprise, but I actually would say this. Right? I think whether college professors know this or not, I think they do. But I think the reason why this was probably undetectable is because over the course of the last year and a half, 2 years, I would say the overwhelming majority of college students have been using ChatGPT to write their papers. Right? To to to do their online assessments. So if this was an online assessment where you are submitting chunks of text, guess what? University professors, even if you are, quote, unquote, banning JetGPT in the classroom, even if you say, oh, students, you can't use it, they're all using it. So I don't know if this is as much like, oh, here we have AI passing the Turing test. You know, and only 1 of 33 was detected.

Jordan Wilson [00:17:15]:
I don't you know what? If nothing else, I just think that, you know, university professors grading these assignments are just becoming increasingly numb, to the fact that they've probably been seeing and reading and grading a lot of AI generated content over the past couple of years, and they haven't even maybe really noticed it. And it just so happened this came with the timing. Right? The timing of COVID and a lot of, you know, kind of, university lockdowns and, you know, much higher percentage of online or hybrid classes. So it kind of aligned with that. So maybe this kind of went a little bit under the radar, kind of like undetected, with university professors. And you know what? I'm gonna say this. Number 1, we talked about this on the show last week when we, had a great, education based show. You know, I believe that was on Friday.

Jordan Wilson [00:18:10]:
First of all, these AI content detectors don't work, number 1. Number 2, yes. AI is going to be smarter than your average college student Every single time. So I don't think that's necessarily, the the headline, grabber here. I think if nothing else, this study is being blown a little bit out of proportion. Yes. It's it's, you know, a little gimmicky, and it's, you know, tiptoeing. Like, was this even ethical, to do to begin with? It's more of a gotcha, kinda moment.

Jordan Wilson [00:18:40]:
But I think this is being blown a little bit out of proportion because you could do this test in at any university, and, yes, it's going to, the AI generated, assignments are going to get better grades than the human almost every single time. I don't think that's necessarily indicative of like, hey, we're we're we've achieved AGI. I don't think that's where we're at with this, with this study. Yeah. What what Tara said, a plus for resourcefulness. Yeah. Yeah. You know what? That's that's another another good point here is this is the future.

Jordan Wilson [00:19:17]:
Right? Like, I don't understand why US educational systems are still banning, or aren't fully teaching generative AI because guess what? It's 1 of the most in demand skills. Right? Basic prompt engineering, you know, being able to use a a variety of of AI softwares. Right? This is what we want our employees, at least here in the US. These are the skill sets that are in the most high demand. This is what you're going to be using. You're gonna be using tools like, you know, chat gbt and and perplexity and Claude and Gemini in the, quote, unquote, real world. If you want to succeed in business, you have to understand the basics of prompt engineering, large language models using these AI systems yet, you know, oh, they're bad, quote, unquote, they're bad in in the US, you know, higher education system. That's because it's a broken system.

Jordan Wilson [00:20:07]:
Right? The fact that still some of the most reputable, some of the most highly esteemed academic institutions here in the US are still banning generative AI. It's pie in the face to them. Right. That's that's terrible. You have to be teaching it, embracing it and just changing education. Right. Probably shouldn't be doing papers as a as a main means to see if your students have understood anything. I think, verbal presentations are are going to be a lot more commonplace.

Jordan Wilson [00:20:37]:
I I think kind of quote unquote in class work is going to be a lot more commonplace, than writing papers. If if if going forward, if you work at a university and your main way of, you know, especially if it's an online hybrid, kind of course, If you are still kind of, relying on traditional grading mechanisms, mainly papers, graded exams, and and you're doing this online hybrid, it's a terrible way. Students are learning nothing in the long run, if I'm being honest. Right? You have to flip the script in US higher education. Yeah. Hey. I love this. Love to see former guests, drop in.

Jordan Wilson [00:21:17]:
So, Yogeshi here saying faculty need to be trained 1st. Yeah. And are they willing to learn? That's a great point, Yogesh. I know he's a professor, as well, but, you know, I think some professors are willing to learn, and I think, actually, professors are using AI a lot in creating their curriculum, yet, you know, there's still this, oh, we still need to give students, you know, 10 page research papers as, you know, their midterm or final project. That's that's so. Y'all, can I just kick it to you straight? That is dumb. That is dumb. That is not that is not smart.

Jordan Wilson [00:21:53]:
Students aren't learning anything. They're just gonna use Chagibuty or other large language models. If you think that is, a way to actually measure if students are learning anything, that's laughable. I am literally chuckling. I am LOLing on the other side. Alright. Let's keep it going with the AI news. So Anthropic.

Jordan Wilson [00:22:11]:
Yes. So Anthropic has introduced a new collaboration feature for its Claude AI. So Infrafx has unveiled, unveiled projects for its Claude AI LLM aiming to enhance team workflows. So projects enables, teams to create a centralized space for project related content, allowing Claude to provide personalized answers based on the project's data. This initiative by Infrappi aims to eliminate cold starts by providing a knowledge base within each project, enhancing AI response time. So privacy conscious users need not worry, though, as data shared within projects will not be used by default to train, their generative models without explicit consent from the users. Also, if you use cloud, Cloud teams, pretty big news here. So cloud team users can also share, their best conversations and projects within cloud in a shared project feed, fostering a better sense of collaboration and knowledge sharing amongst teammates.

Jordan Wilson [00:23:14]:
So these new features, though, are exclusive to Claude's paid pro and team customers and are powered by Claude 3.5 Sonnets, Pretty powerful new model from Anthropic and, claim to outperform GPT 4 o and Google Gemini's, 1.5. So, Anthropic's vision for, kind of quad AI and with the new projects feature, and we covered the artifacts feature as well. It's it's tie kinda create systems that work alongside, individuals to enhance their workflow. So a little bit more team collaboration as well as with the artifacts feature that they released about 2 weeks ago, which is essentially an inline, code, renderer. Right? So you can render code in real time. Right? You don't have to copy and paste it and, you know, take it into a sandbox or a replit or something like that, as well as it can render dashboards in real time. Some some, AI art that you can generate in real time. So a pretty pretty cool, pretty cool, over the last 2 weeks, some updates from Anthropic.

Jordan Wilson [00:24:20]:
And I've been kind of hard on Anthropic. I'm still not using it day to day even with this new projects feature, which I love because, Anthropic, you are still not connected to the Internet. Why? It makes 0 sense. I cannot, with a straight face, encourage any business leader to use Anthropic as their base. Right? When we consult companies and if that's something that your company is looking for, reach out to us. We consult, you know, entrepreneurs to Fortune 100 Companies. If you are like we always consult companies. You need to find your base model.

Jordan Wilson [00:24:56]:
Right? What is your company's base model? You know, there's a lot of questions that you need to go through, data security, your your AI, kind of safety procedures, etcetera, but you have to find your base model. And for the most part, cannot recommend anyone use right now, Anthropic Cloud as their base model because it is the only major model not connected to the Internet. However, do love the recent, the recent, news and these recent developments from Anthropic. Once they do kind of bring that Internet connectivity, I think Anthropic will immediately vault itself to either, you know, 1 b or 2, behind ChatGPT. So it is I think this is a direct response to where the industry is heading. Right. So OpenAI was first with their custom GPTs. And this is essentially what we're seeing here.

Jordan Wilson [00:25:44]:
What we're seeing here from Infropic Quad as well is, you know, essentially creating a small version of their base model for your needs. Right? So with this new projects feature, it also has a custom instruction. So you're essentially kind of training. It's not really fine tuning. Right. And it's not really RAG. Right. Retrieval augmented generation, but it's kind of both of those things.

Jordan Wilson [00:26:05]:
So you're kind of doing a little bit of, you know, training, within these projects and a little bit of rag. Right. Bringing in your own data. So it's it's OpenAI has set the, set the tone here with GPTs that they rolled out in November. Then we saw about a month ago, we saw Google announce but not release their version of this, which is called gems. Right? So essentially creating versions, smaller versions of Gemini. Right? Kind of with specific instructions, with specific, kind of training that you can go in there and then putting in your own knowledge base as well. So, technically, Anthropic I like Anthropic's release a lot better than, Google.

Jordan Wilson [00:26:46]:
Right? So Google made a big splash about it. You know, all this big presentation and marketing yet, you know, it's 6 weeks later and no 1 has it, yet. Anthropic just, you know, quietly just said, hey. It's available. So, I like that from Anthropic. And we did do a complete show, you you know, last week kind of comparing the newest version of Anthropic's, 3.5 SONNET within Quad versus, GPT 4 o. Alright. Last but not least, in AI news, this 1 is interesting.

Jordan Wilson [00:27:20]:
Hey. And as a sports fan and as an Olympics fan, I'm looking forward to this. So NBC is using AI powered the the AI powered voice of Al Michaels for Olympic recaps for Peacock subscribers. So NBC is set to what it thinks is revolutionize Olympic viewing experience by employing artificial intelligence to recreate the voice of renowned sportscaster, Al Michaels, for daily Olympic recaps, but just for Peacock streaming subscribers. So, yeah, if you haven't heard of Peacock, it is, the NBC's kind of their online version. Right? Their their Hulu or Netflix, but it is their streaming platform called Peacock. So the AI software will generate 10 minutes personalized highlight packages for subscribers, offering a unique way to consume Olympic content. This innovative approach allows for approximately 7, 000, 000, according to NBC, 7, 000, 000 different recap variations drawing from 5000 hours of live coverage in Paris.

Jordan Wilson [00:28:24]:
So Michaels is known for his iconic sports commentary, and he expressed initial skepticism but was intrigued after seeing a demonstration of the AI technology in action. The AI system was trained on using Michael's prior broadcast audio from NBC, ensuring as authentic recreation of his voice as possible. A team of NBC Sports edit editors will oversee the content to maintain factual accuracy and ensure correct pronunciation of names. That 1, I think, is going to be the most difficult, especially with a, you know, worldwide lineup of athletes. That 1II don't think, hey. I'm a human, and I go over right when I have guests here on the Everyday AI Show, I go over pronunciations with guests right before the show, and I often get them wrong 3 minutes later. So, I don't think that they're going to be able to get all of these names correct. We'll see.

Jordan Wilson [00:29:16]:
So this new feature is called your daily Olympic recap on Peacock. Very, very creative there. And it'll be available only to Peacock subscribers starting on July 27th 2024. Also, the Peacock service yeah. So you have to be a paid subscriber. They weren't, very explicit with that, saying, like, yes. This is for paid subscribers. We did a little digging.

Jordan Wilson [00:29:43]:
It does appear that it is only going to be for paid subscriber. And guess what? As of today, Peacock just hiked up their price for a subscription. It was, $12 a month without ads up until about 8 hours ago as of July 1st. Now it is $14 a month, for the ad free version. But if I'm being honest, though, I might do this for a month. Right? I might do that for a month. You know, I I love watching the Olympics. Did did anyone else watch, women's gymnastics? My gosh.

Jordan Wilson [00:30:18]:
Jeez. I mean, Simone Biles is on another level. Right? So fun to watch, but, I love watching the Olympics. But do I have time to watch 3 to 4 hours of Olympic coverage? Like, absolutely not. Right? Like, last night, I was preparing for this show. You know, my my my wife had a you know, we had it on DVR or, you know, YouTube TV and whatever. And she said, okay. Hey.

Jordan Wilson [00:30:41]:
Here's here's what you gotta watch. Right? So I was able to watch, you know, 2 or 3 hours worth of, Olympic coverage in, you know, 20 minutes. So I'm personally looking forward to this. I might subscribe to Peacock just for this. Right? Huge time saver. The personalized experience. So, yeah, I'm I'm curious for our livestream audience. Are you gonna want some AI, Al, you know, which is funny because when you write it, you don't actually know if it's AI.

Jordan Wilson [00:31:06]:
Capital a I is the same as, capital a, lowercase l. I was a little confusing covering that in the newsletter last week. I'm like, wait. Does this say AAI or does this say l? So so pretty pretty exciting, you know, kind of experiments here from NBC and bringing, kind of AI news coverage. And this is the first, at least large scale, version of this that we've seen here in the US. So hey. No no pressure, NBC and Peacock, but literally the eyes of the world are going to be on this feature. Right? Because I can only imagine that if it's bad early on, it is going to get ridiculed.

Jordan Wilson [00:31:46]:
Right? It is going to grab more headlines than if it gets it wrong. Right? Because I think what so many people are talking about at least here in the US. Right? Will AI take my job? Right? Like, you know, where where are my skills actually, you know, be valuable in the future? So if this is really good, I think a lot of people are gonna be talking about it. And if it's really bad, even more people are gonna be talking about it. So, you know, kind of high risk, high reward for this new, feature from, from NBC and from Peacock. So, that is it y'all, for the AI news that matters. If you're listening on the podcast, appreciate your support. Let's just do super quick recap.

Jordan Wilson [00:32:28]:
Yeah. Sometimes I drag these on. So, number 1, we talked about Apple's shift a little bit more towards software and AI to kind of make up for, hardware sales, which have been slacking. So just kind of part of their new long term strategy according to Bloomberg reports. Next, Tyme announced big AI partnerships with OpenAI and 11 Labs. So with OpenAI granting, more than a 100 years of content, but also getting to use OpenAI's technology. And with 11 Labs, just offering a more innovative, and engaging experience on the time.com website. Next, AI generated exam answers for professors at the UK at the University of Reading.

Jordan Wilson [00:33:10]:
So essentially, professors couldn't tell the difference and AI got it better. No surprise there. Anthropic introduced their new projects, feature, which I personally liked. I'll probably do a head to head of, anthropic projects in, ChatGPT's GPT. So let me know if you wanna see that, but pretty new and exciting feature that Anthropic rolled out. But just to, paid subscribers in their pro or team plans. And then last but not least, NBC is set, set to unveil its AI powered voice of Al Michaels for personalized Olympic recaps for p cap peacock subscribers starting July 27th for the Paris 2024 Summer Olympics. Alright.

Jordan Wilson [00:33:55]:
If this was helpful, y'all, let me know. But, also, tune in tomorrow. So what we did back in December, we gave our 2024 predictions for AI. So we're gonna be giving ourselves a little midterm grade tomorrow for our hot take Tuesday. So going over our 2024 AI predictions, did we get them right? Did we get them wrong? We'll be bringing the receipts as always, so make sure you tune in tomorrow. If this was helpful, let us know. Please give us a rating on, Spotify, Apple Podcasts if you listen there. Also, go to your everydayai.com.

Jordan Wilson [00:34:30]:
Sign up for the free daily newsletter. We're gonna be recapping today's episode and more. Thanks for tuning in. Hope to see you tomorrow and every day for more everyday AI. Thanks, y'all. And that's

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