Everyday AI Podcast – An AI and ChatGPT Podcast - EP 305: AI News That Matters - July 1st, 2024

Episode Date: July 1, 2024

Is TIME becoming an AI leader? What is Apple's new AI strategy? And AI outsmarts professors -- is that actually a sign of passing the Turing test? Here's this week's AI news that matters.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AIRelated Episodes: Ep 291: Apple’s AI Announcements: The good, the bad and what no one‘s talking aboutEp 252: What schools need to do now to benefit from an AI futureUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [e-mail] with Jordan on LinkedInTopics Covered in This Episode:1. TIME's AI deals with OpenAI2. Apple's New AI Strategy3. AI in Academia4. Anthropic's Claude AI updates5. NBC's implementation of AI Timestamps:01:50 Apple's AI strategy.04:04 Apple hoping to compete with new software.08:36 Time Magazine partners with OpenAI, benefits mutual.11:03 AI products summarize content, reduce internet time.16:03 College students using AI to cheat online.19:17 US education system not fully teaching generative AI.23:14 Anthropic releases powerful new AI features.27:20 NBC uses AI for personalized Olympic recaps.31:46 AI's impact on jobs and future skills.Keywords:AI content detectors, AGI, generative AI, educational systems, grading methods, Anthropic, Claude AI, GPT 4, Google Gemini, AI news, NBC, Al Michaels, Your Daily Olympic Recap on Peacock, Peacock streaming, AI-generated content, podcast, AI predictions, Jordan Wilson, Time Magazine, Apple, iPhone 16, OpenAI, 11 Labs, device upgrades, AI services, media partnerships, AI-generated exam answers, University of Reading, academic integrity, Turing test.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

This is the Everyday AI Show, the Everyday Podcast where we simplify AI and bring its power to your fingertips. Listen daily for practical advice to boost your career, business, and everyday life. Meet Firefly AI Assistant, now live and Adobe Firefly, the All-in-One creative AI studio. Just describe what you want to create and the assistant handles the rest, orchestrating multi-step workflows across Photoshop, Premiere Express, and more in one conversational interface. You direct the outcome. The assistant accelerates execution. Is Time Magazine one 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 going to be talking about those things today and more on Everyday AI. What's going on, y'all? My name's Jordan Wilson, and I'm the host of Everyday AI, and this is for you. This is your daily live stream 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 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. All right. 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 live stream 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, 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, a 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.

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 one will be pretty interesting. And we've talked about this here on the Everyday AI show a lot. Just even in general. Apple's AI strategy, right?

They call it Apple intelligence. I don't know. Is it just me, y'all? Like, I struggle with that. Like, you know, Apple just trying to rebrand AI and call it Apple intelligence. I still chuckle. 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 Open AIS GPT40 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, lot of other manufacturers. 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 either the brand new Apple iPhone 16, which I believe will be announced or sorry, released in this fall, or a newer Apple iPhone 15. So 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 yes, although signs of the economy are going well, but I don't know.

at least here in the U.S. if the average American is ready to spend, you know, $1,000 to $1,500 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 short term. I'm sure there's going to 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 two years or so, you know, when the phones were, you know, $400, $500, $600, $600. But now that they're, you know, $1,500 to $1,500 for 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 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. 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 recent computer with the M. one or M2 or M3 or higher chip should be able to take advantage of most of the Apple intelligence, which is essentially any new computer over the last four or five years, about, yeah, three and a half, four 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 live stream audience, you know, are you going to 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 an Apple iPhone 13 or 14. I don't have the newest one.

So I'm not going to get access to these Apple intelligence features. I don't know if that's going to 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 upgrade my iPhone, I don't know if that's the best long-term strategy, right? Hey, 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 going to work. Not sure if it's going to work. Dini joining us here said even if some people want to buy a new iPhone, iPad, etc. 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 get this. Because I think it's going to be a little buggy early on, right?

This is everyone else, right, when you look at Microsoft, Google, OpenAI, Anthropic, right? They have millions of, you know, users that have been using their AI platforms for many months or in years in the case of Open AI in Microsoft, right? So, yeah, I don't think the initial versions that are going to be rolling out to Apple users is going to be that fantastic. All right, it's been a little bit too long on that one, but let's keep going on with the AI news. So Time, yes, Time Magazine might be one of the most innovative companies out right now.

So Time announced some big partnerships with Open AI in 11 Labs. So Time Magazine has entered into a multi-year content. agreement with OpenAI granting the AI company access to Times News archives, more than a hundred 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, Open AI has just been. 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 Open AI to utilize Time's content for enhancing and training its AI products. Well, time gains access to Open AI's technology for developing new product. 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 eight-figure annual partnership to be conservative.

Right. We've seen other kind of similar deals like with Reddit, I believe, was $20 million a year. So this collaboration aims to facilitate easier access to news content through AI tools. And that's coming from OpenAI's C-O Brad 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 know, I went on kind of a rant maybe nine 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, such as the Associated Press, such as Times Magazine, 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 chat pots or, you know, answer engines like perplexity, like Google Gemini, like open AIs, chat GPT, like Claw,

right? Essentially what a lot of these kind of AI products do is they just summarize, right? So instead of going to, you know, three, five, ten 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. 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, et cetera, you know, for clients, you know, doing competitive analysis, et cetera. 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? In the future of SEO and 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 Open AI, such as Microsoft co-pilot that uses Open AI, such as Google, right? So you can either try to start. 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. You can either try to form 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. 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 Open AI 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 one of these large language models or one of these

big tech companies. So pretty interesting move here from time, from time. And that's not their only move. They also partnered with 11 labs. So Time in 11 labs teamed up to add automated voiceovers 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 going to be getting fewer visitors to their website, at least those visitors are going to 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 the course of the last few days. So let's keep this going. More AI news. Oh, it never stops. It never stops. All right.

So this one 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 and the future of education. So reach their third. researchers submitted unedited AI generated answers from chat GPD4 under fake student identities for online assessments.

And only one of 33 AI generated entries was flagged by markers with the most receiving higher grades than human students. 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 integrity in education. Experts warned 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 ChatGPT were now passing the Turing a term inspired by Alan Turing, indicating the AI's ability to go undetected by XATT, by experienced judges. This suggests that AI is reaching a new level where it can mimic human responses convincingly enough to deceive human evaluators. All right.

I'm not going to go off on a small tirade here about did this, you know, pass the Turing test. I don't think so. This is obviously a very small case study at one university in the UK where only one of these 33 kind of fake identities or AI identities was detected. So 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, two years,

I would say the overwhelming majority of college students have been using chat GPT to write their papers, right, 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 chat GPT in the classroom, maybe 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 one of 33 was detected. 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, a 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 going to say this. Number one, 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. First of all, these AI content detectors don't work. Number one.

Number two, yes. AI is going to be smarter than your average college student every single time. So I don't think that's necessarily the headline grabber here. I think if nothing else, this study is being blown a little bit out of proportion. Yes, it's a little gimmicky and it's tiptoeing. Like, was this even ethical to do to begin with? It's more of a gotcha kind of moment. But I think this is being blown a little bit out of proportion because you could do this

test 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've achieved AGI. I don't think that's where we're at with this, with this study. Yeah. What Tara said, A plus for resourcefulness. Yeah.

Yeah. You know what? That's another good point here is this is the future, right? Like, I don't understand why U.S. educational systems are still banning or aren't fully teaching generative AI because guess what? Adobe just introduced an entirely new way to create, bringing the power and precision of its creative suite into one conversational experience. Meet Firefly AI assistant now live in the Adobe Firefly app, the all in one creative AI studio. Powered by Adobe's creative agent, Firefly AI assistant lets you start with your vision, just describe what you want, and shape the outcome as it takes form with the assistant.

The assistant orchestrates multi-step workflows, drawing on 60 plus pro-grade tools across Adobe Creative Cloud apps, including Photoshop, Illustrator Premiere, Lightroom Express, and more to help bring your ideas to life. You can also get started with creative skills, a growing library of pre-built workflows for common creative tasks like batch editing photos, creating mood boards, portrait retouching, and creating social variations. Every step the assistant takes is visible so you can refine, redirect, or take over at any time. You stay in the driver's seat as the creative director. Adobe Firefly AI assistant now in public beta.

See it today at firefly.adopi.com. It's one of the most in-demand skills, right? Basic prompt engineering, you know, being able to use a variety of. of AI softwares, right? This is what we want our employees, at least here in the U.S. These are the skill sets that are in the most high demand. This is what you're going to be using. You're going to be using tools like, you know, chat, GBT 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 the U.S. you know, higher education system. That's because it's a broken system, right? The fact that still some of the most reputable, some of the most highly esteemed academic institutions here in the U.S.

are still banning generative AI. It's pie in the face to them, right? That's terrible. You have to be teaching it, embracing it, and just changing education, right? Probably shouldn't be doing papers as a main means to see if your students have understood anything. I think verbal presentations are going to be. a lot more commonplace. I think kind of quote unquote in class work is going to be a lot more

commonplace than writing papers. If going forward, if you work at a university in 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 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 U.S. higher education. Yeah, hey, I love this. Love to see former guests drop in. So Yogesh here saying faculty need to be trained first. 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 a 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. Students aren't learning anything. They're just going to use Chad GPT 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 L-O-Ling on the other side. All right, let's keep it going with the AI news. So Anthropic, yes. So Anthropic has introduced a new collaboration feature for its Claude AI. So Anthropic has unveiled projects for its

Claude AILM aiming to enhance team workflows. So projects, Enables teams to create a centralized space for project-related content, allowing Clawed to provide personalized answers based on the project's data. This initiative by Infraopic 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 Teams, pretty big news here.

So Claude team users can also share their best conversations and projects within Cloud in shared project feed, fostering a better sense of collaboration and knowledge sharing amongst teammates. So these new features, though, are exclusive to Claude's paid pro and team customers and are powered by Claude 3.5 Sonnet, pretty powerful new model from Anthropic. and claim to outperform GPD40 in Google Geminize 1.5. So Anthropics vision for kind of quad AI and with the new projects feature, and we covered the artifacts feature as well, it's kind of 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 two 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 replet or something like that, as well as it can render dashboards in real time, some AI art that you can generate in real time. So a pretty, pretty cool, pretty cool over the last two weeks, some updates from Anthropic. And I've been kind of hard on Anthropic. I'm still not using it day to day, even with this new project. feature, which I love because Anthropic, you are still not connected to the internet. Why, it makes zero 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, 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 AI kind of safety procedures, et cetera.

But you have to find your base model. And for the most part, cannot recommend anyone use right now Anthropic Claude as their base model because it is the only major model not connected to the internet. However, do love 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, 1B or 2 behind chat GPD. So it is, I think this is a direct response to where the industry is heading, right?

So Open AI was first with their custom GPTs. And this is essentially what we're seeing here. What we're seeing here from Anthropic Claude as well is, you know, essentially creating a small version of their base model for your needs, right? So with this new project's feature, it also has. as a custom instruction. So you're essentially kind of training. It's not really fine-tuning, right?

And it's not really rag, right? Retrieveable augmented generation, but it's kind of both of those things. 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, open AI has set the tone here with GPs that they rolled out in November.

Then we saw about a month ago. we saw Google announced 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 Anthropics release a lot better than Google, right? So Google made a big splash about it, you know, all this big presentation and marketing, yet, you know, it's six weeks later and no one 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 know, last week kind of comparing the newest version of Anthropics 3.5 Sonnet within Quad versus GPT40. All right. Last but not least, in AI News. This one is interesting. Hey, and as a sports fan, and as an Olympics fan, I'm looking forward to this.

So NBC is using 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 Hulu or Netflix, but it is their streaming platform called Peacock. So the AI software will generate 10-minute personalized highlight packages for subscribers, offering a unique way to consume Olympic content.

This innovative approach allows for approximately 7 million, according to NBC, 7 million different recap variations drawing from 5,000 hours of live coverage in Paris. So Michael's 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 editors will oversee the content to maintain factual accuracy and ensure correct pronunciation of names. That one I think is going to be the most difficult, especially with a worldwide lineup of athletes. That one, I 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 three minutes later. So I don't think that they're going to be able to get all of these names correct. We'll see. 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 27, 2024. Also, the Peacock service. Yeah, so you have to be a paid subscriber.

They weren't very, uh, very, uh, with that, saying like, yes, this is for paid subscribers. We did a little digging. 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 eight 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 love watching the Olympics. Did anyone else watch women's gymnastics? My gosh, geez, 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 three to four hours of Olympic coverage?

Like, absolutely not, right? Like last night I was preparing for this show. You know, my wife had it, you know, we had it on DVR. or YouTube TV and whatever. And she said, okay, hey, here's what you got to watch. So I was able to watch, you know, two or three 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 curious for our live stream audience. Are you going to want some AI, you know, which is funny because when you write it, you don't actually know if it's AI, capital AI, is this AI? as capital A, lowercase L. I was a little confusing covering that in the newsletter last week. I'm like, wait, does this say AI or does this say L? So 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 U.S. So, hey, 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, 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 U.S., right? Will AI take my job, right? Like, you know, 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 going to be talking about it. And if it's really bad, even more people are going to be talking about it. So, you know, kind of high risk, high reward for this new feature 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. Yeah, sometimes I drag these on. So number one, 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 time announced big AI partnerships with OpenAI and 11 labs. So with OpenAI granting more than 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, fooled professors at the UK at the University of Reading. 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 and chat GPT's GPT.

So let me know if you want to 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 to unveil its AI-powered voice of Al Michaels for personalized Olympic recaps for PCAP-P-P-Cock subscribers starting July 27th for the Paris 2024 Summer Olympics. All right. If this was helpful, y'all, let me know.

But also, tune in tomorrow. So what we did back in December, we gave all. our 2024 predictions for AI. So we're going to 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 everyday AI.com. Sign up for the free daily newsletter. we're going to 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.

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And that's a wrap for today's edition of Everyday AI. Thanks for joining us. If you enjoyed this episode, please subscribe and leave us a rating. It helps keep us going. For a little more AI magic, visit Your EverydayAI.com and sign up to our daily newsletter so you don't get left behind. Go break some barriers and we'll see you next time.