Resources
Join the discussion: Ask Jordan questions on AI
Related Episodes: Ep 321: Meta Llama 405B and Llama 3.1 – What’s new and what you need to know
Ep 291: Apple’s AI Announcements: The good, the bad and what no one‘s talking about
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Connect with Jordan Wilson: LinkedIn Profile
Try Our Free AI Prompting Course: Register for our free Prime, Prompt, and Polish AI Course!
OpenAI's Bold Move
Deep-tech ventures are often spearheaded by ambitious, high-growth start-ups. In a recent development, OpenAI announced SearchGPT, their advanced AI-powered search engine. Designed to provide a more conversational, context-aware search experience, it incorporates several forms of media to enrich results with comprehensive information. While still in beta, it presents substantial prospects to reshape the search market landscape, currently dominated by companies like Google.
Ethics in AI: A Non-Negotiable Dictate
High-tech AI ventures come with equally colossal financial footprints. OpenAI, facing a potential loss of $5 billion in 2024, raises essential questions about sustainability and apt financial strategies. These high costs are driven by operational challenges and a need for additional funding.
Market Competition Heats Up
The AI development race has seen fierce competition from veteran companies like Meta. Their latest llama 3.1 model is their answer to OpenAI's GPT-4 Omni. Unlike many other models, llama 3.1 is open source, offering an extensive incentive for researchers and developers to contribute to AI advancements.
Morgan Stanley and JPMorgan Chase's AI Leap
Financial industry giants are not immune to the draw of AI. Morgan Stanley and JPMorgan Chase have invested substantially in large AI language models. By equipping their employees with generative AI tools, these companies aim to amplify productivity and efficiency.
Apple’s Intelligence Features: Delayed but Determined
Tech innovator Apple is set to roll out advanced AI features in its iOS 18.1 release. Focused on ensuring stability, accuracy, and security, Apple has wisely deferred the launch to October. While a temporary setback, this delay underscores a commitment to quality over a rushed release.
A Time of Transformation
In summary, AI has begun to reshape various industries, challenging traditional norms and bringing about drastic changes in business models. Businesses are left grappling with the implications of these breakthroughs while also navigating complex ethical debates. The age of AI is decidedly here, but the course it takes is still very much in our hands.
Topics Covered in This Episode
1. Meta's New Llama updates and LLM
2. Apple's AI strategy and concerns
3. Major investments in large language models
4. Unveiling of OpenAI's Search GPT
5. OpenAI's financial situation
Podcast Transcript
Jordan Wilson [00:00:17]:
Meta has a new model. Why is Apple now delaying its AI features? And OpenAI is now going after Google in perplexity with search g p t. What does that even mean? Well, we're gonna be answering those questions and a lot more today on everyday AI. What's going on y'all? My name is Jordan Wilson, and I'm the host of everyday AI. And this thing is for you. This is your daily livestream podcast and free daily newsletter helping all of us not just better understand AI, but how we can leverage it, to take advantage and to grow our companies and careers. So, each and every Monday, we bring you the AI news that matters. Alright.
Jordan Wilson [00:00:59]:
So if you're brand new here, each and every Monday, we take, about 30 ish minutes to just tell you what's going on in the world of AI. So, before we get into the top AI stories for the week, I have to shout out our new thanks a million giveaway campaign. So, it's gonna be in our newsletter today. It's super simple. We are, getting close to a milestone here at Everyday AI with nearly a 1000000 downloads, and we're gonna be doing a huge giveaway. So you need to make sure, if you haven't already, go to our website, sign up for the free daily newsletter at your everydayai.com, and get into that campaign before it's too late. Trust me. You're going to want to enter.
Jordan Wilson [00:01:41]:
Alright. So with that, let's get into the AI news that matters for the week of July 29, 2024. Like I said, we do this almost every single Monday so you don't have to waste hours a day or hours a week trying to keep up. We keep you caught up each and every Monday. Alright. Let's dive in with the AI news that matters for this week. Alright. Well, first, Meta, they released a its next, open source AI model, llama 3.1.
Jordan Wilson [00:02:11]:
So Meta has released llama 3.1 featuring the new groundbreaking 405000000000 parameter model, making a significant advancements in large language model technology. This update from Meta includes major improvements to the existing 8 b and 70 b parameter models and introduced a new 405 b model designed for a wide wide range of applications. Yeah. So essentially before, Meta had, just 2 different versions when they announced, llama 3 back in April. They had a small 8 b, and we'll call the medium 70 b, and they hadn't yet released the large one, 4 0 5 b. So just on Tuesday, they not only finally released the large one, the 4 0 5 b, but they also updated the other 2 models as well. So kinda 2 different announcements, into 1. So both introducing this larger 405 b model and then also updating the small and the medium, and that is the 3.1, or going from the 3 to the 3.1.
Jordan Wilson [00:03:13]:
So the 4 0 5 b model has been highly anticipated and is positioned as a direct competitor to industry leaders like GPT 4 Omni and Claude 35 SONNET. In the MMLU benchmark, which is the kind of the gold standard for large language models, llama's 3 1405b model scored pretty much the exact same, as the GPT 4 o Omni model. So showcasing its competitive edge there. So pretty impressive benchmarks. And one of the more exciting aspects of llama 3 1, obviously, is the fact that it is open source, setting it apart from those proprietary and closed source models like OpenAI's GPT 4 o on GPT 4 Omni, like Anthropic's Claude 35, SONNET, like Google Gemini 1.5 Flash, whatever you wanna throw out there. Most every single model that we talk about on the show, for the most part, is usually a closed proprietary model. But this open accessibility from Meta allows researchers, developers, and businesses to freely, access, tweak, and build upon the model, potentially accelerating AI innovation and democratizing advanced AI capabilities. So if you wanna get your hands on the new model, it is available if you go to meta.aiplatform and you have to just log in via a Facebook or Instagram account, or you can download it from, Hugging Face, from Meta's own website, etcetera.
Jordan Wilson [00:04:40]:
So, Meta plans to incorporate multi mod multimodal capabilities in the future as well as agent like, functionalities and possibly a premium version of the model in future updates. So we did not get that, the the the multimodal and the, agentic capabilities here in 3.1. It did seem like Meta was working toward that, hit some snags, and instead just released the 3.1 model as is no multimodal. So right now it is just inputting, text and then outputting text and photo. So it can't output photo. You you know, nothing, you know, groundbreaking there with, Meta's AI image generator, but I do assume it's going to get better in the very near future. Also, I mean, this is pretty big because this release signals Meta's intent to lead in large language model development and challenges the status quo by making cutting edge AI technology more accessible to a broader audience by making it open source. So, yeah, pretty completely different approach here from Meta versus all the other, tech conglomerates versus the other, you know, $1,000,000,000,000 companies making their own models, Meta is just going open source here, and they're saying they are so confident in their models.
Jordan Wilson [00:05:56]:
Yeah. Go ahead. Fork it. Here's here's everything. Try to, you know, find bugs, find flaws, and we will fix it, and we will build upon it. Also, make sure you check out our YouTube channel, and we'll probably throw it in the newsletter today as well because we did even show you how you can download and install, llama 3.1 locally on your own computer. Yeah. That's the biggest, that you know, if you're a brand brand new person in, large language models or generative AI, you might not even under fully understand this open source concept.
Jordan Wilson [00:06:29]:
So number 1, it allows you to build upon it, tweak it, you know, use it to build actually other models and and and distill other models. So great capabilities there, but you can also download it and run it offline. So it is the most, you know, technically, open source models are the most secure way, to run large language models. Right? Because otherwise, you are still connecting to a third party service from a a Google, from a Microsoft, from an Amazon, from OpenAI, whoever it is you're using where, you know, on a local model that you can download and run on your own machine, you can do it without Internet. Right? Once you download it, you actually don't even need the Internet, to use it, which is which is pretty cool. Alright. Our next piece of AI news, and this might be one of the bigger stories of the week. Apple has delayed its AI features in iOS 18 until October.
Jordan Wilson [00:07:26]:
So according to reports from Bloomberg, Apple has announced a delay in the rollout of its AI features for iOS 18, which were initially expected to launch with the iPhone 16 in September. So now the AI features will be included in the 18.1 update slated for release in October 2024. So this is all according to Bloomberg, but these delays allow Apple to address potential bugs through its developer and beta testing programs. So this move is seen as a strategic decision to ensure that AI features are both accurate and secure, avoiding the pitfalls experienced by rivals Google and Microsoft as well as others. So at the WWDC in, June, Apple showcased the potential of its AI capabilities, which have been met with with mixed reactions. I mean, well, they didn't even really call it AI. They called it Apple Intelligence, which I thought was kinda cheeky. But, you know, Apple is trying to, in typical Apple fashion, redefine what artificial intelligence is, yet they are not even re announcing it or releasing it on time.
Jordan Wilson [00:08:38]:
This delay, though, underscores Apple's commitment to quality and security aiming to avoid the public and critical backlash faced by competitors when they first, released their AI tech. Yeah. If you go back and look, I mean, especially Google, Google did not do a good job rolling out Gemini. They had a kind of sneaky marketing campaign that really painted Gemini in a light that wasn't really true. So Apple is trying to avoid that and trying to, seemingly, underpromise and overdeliver. So the iOS 18 developer version is expected to be released in the coming days, offering a preview of the new features to developers and beta, beta testers. This decision may impact the excitement around the iPhone 16 launch, but is intended to enhance user experience in the long run. So, ultimately, what this boils down to is there was concerns about stability.
Jordan Wilson [00:09:37]:
Right? Is this going to work? Is it going to break Apple? You you know what? We've said it here all along. They're never the first person at the party, but they're always the coolest kid. But you gotta make sure if you're the last one to enter the large language model or generative AI race, at least when it comes to your front facing your consumer product, you gotta make sure you get it right. So, just some concerns about stability here in user experience from Apple. Also, reports did not indicate, and we're not sure if this is because of the OpenAI integration. Right? Because, there's actually 2 different pieces here that Apple is running under the hood. And they didn't even really call this out by name in their keynote, which I actually thought was a shame. But, the way that Apple is actually doing their Apple Intelligence is there's 2 different models.
Jordan Wilson [00:10:25]:
So they actually have a local edge AI model. Right? So they're it's their own proprietary 3000000000 parameter JAX slash XLA Small Language Model. Okay? So, a lot of what's gonna be happening, when it comes to these generative AI capabilities on the, upcoming iPhone is going to actually be, be processed locally by this JAX, this 3000000000 JAX XLA small language model. And then whatever that model cannot handle will be passed off to this direct integration with GPT 4 o. So we are not really sure where the concerns are right now with this new Apple Intelligence rollout, but, regardless, it's not ready. Right? Apple said, hey. We already waited a year or a year and a half longer than most of our competitors. We'll we'll delay it another month.
Jordan Wilson [00:11:22]:
So, yeah, we thought we were, you know, about a month away from starting to see this in, Apple's next iPhones, but it doesn't seem like it's going to be ready in time for the new iPhone launch. So 18.1, keep your eyes out on that iOS development, because according to reports, that is now where we're going to be seeing. And hey, thanks. Thanks to the livestream audience for for tuning in. What do you think? Do you think that we're actually going to be seeing, this new Apple Intelligence in 18.1, or are they gonna kick the can a little bit? Might we be waiting a couple more months? And, yeah, I'm I'm curious if you think it is their own small language model, or is it this integration with GPT 4 o from OpenAI? So, should be pretty pretty interesting to see here how this all plays out. Alright. Our next big AI news that matters, well, 2 big banks, Morgan Stanley and JPMorgan Chase Bank, have gone all in on large language models. So Morgan Stanley has successfully launched its 2nd generative AI tool for financial advisors, emphasizing the benefits of custom built solutions over premade options.
Jordan Wilson [00:12:46]:
So Morgan Stanley's new AI tool called AI at Morgan Stanley debrief summarizes video meetings and generates follow-up email drafts enhancing efficiency for their financial advisers. The tool was developed in partnership with OpenAI following the launch of their AI knowledge assistant tool in September 2023, which helps advisors quickly find information from Morgan Stanley Research. Alright. And that is not the only big bank going now all in on large language models. Chase Bank also reportedly is in on the action according to a new article from the Financial Times. So Chase has now introduced a new generative AI product, internally known as LLM Suite, designed to assist JP, JPMorgan Chase employees in its asset and wealth management divisions. So the LLM suite is described as a ChattGPT like product that can perform tasks typically handled by research analysts, such as writing, idea generation, and document summarization. According to the internal memo, memos seen by the Financial Times, the tool provides access to third party models and is intended to enhance general productivity.
Jordan Wilson [00:14:08]:
Approximately 50,000 employees or about 15% of JPMorgan staff will now have access to LLM Suites, making it one of the largest, uses of large language models on Wall Street. So pretty impressive news there from, both Morgan Stanley and JPMorgan Chase, and it will be also interesting to see how their respective, stocks respond here this Monday morning after these announcements. Also worth noting, JPMorgan Chase one of was one of the first, you know, highly visible big name companies very early on that did an all out ban of ChatGPT. Right? And at the time, I said, this is not a good move from JPMorgan Chase. And I said within a couple of months or a couple of quarters, they're gonna realize that by doing this, they are losing 1,000,000,000 or tens of 1,000,000,000 of dollars in, revenue. And I at the time, I said I expected them to do a 180. Right? Because if you are one of those companies that does an all out ban of generative AI, the weird thing is is that might actually push you to do the right thing and to responsibly and ethically and to, you know, really just, adapt to a large language model the correct way. And, you know, sure enough, this isn't the first, generative AI offering from JPMorgan Chase, but, this new report here from the Financial Times, like I just said, would be one of the largest implementations of a large language model, at least that we know of, on Wall Street with 50,000, JPMorgan Chase employees, having access to this.
Jordan Wilson [00:15:57]:
Yeah. Pretty pretty big news there, both from, Morgan Stanley and, JPMorgan Chase. Alright. We have 2 more big stories here, both of them from OpenAI. So OpenAI has unveiled SearchGPT, challenging Google's search dominance. So OpenAI has introduced SearchGPT, an advanced AI powered search engine that aims to revolutionize online information retrieval and challenge Google's long standing dominance. Alright. So what's important to know, this isn't available yet.
Jordan Wilson [00:16:40]:
That's they're just really teasing it. So search GPT is currently in a very limited beta release, accessible to only 10,000 users as OpenAI fine tunes the engine and gathers diverse feedback. So OpenAI's new search GPT is desert is designed to provide more conversational and context aware search experiences going beyond traditional keyword based searches. So unlike traditional search engines like Google or Bing, search GPT will, presumably work a little bit more like perplexity in understanding the nuances of user queries, remembering previous interactions, and offering detailed sourced back responses. So users can join a wait list right now on OpenAI's website to potentially gain access to the beta version before everyone else. We obviously shared about this in the newsletter, when we when this first broke, midweek last week. So you know what? You gotta make sure to read the newsletter on a daily basis. It's quick.
Jordan Wilson [00:17:51]:
It's digestible. You know, I'm wondering, any of our livestream audience out here, do you also read the newsletter? It's it's written by by me, a human. So, you know, I try to do a good job at at cutting through all the marketing fluff and telling you, what's what. So a little bit more about SearchGPT. So it's obviously built on OpenAI's GPT 4 language model, and it's also capable of real time web crawling and multimodal processing, integrating text, images, and videos for comprehensive search results. Reports are showing that it is still powered by Microsoft Bing because, OpenAI has and ChatGPT has had a real time, kind of web access now for a long time. Thanks to the browse with Bing capabilities and functions inside of ChetGPT. So the AI powered engine collaborates with content creators, potentially offering access to premium content and ensuring fair compensation for publishers.
Jordan Wilson [00:18:53]:
That piece is important because OpenAI has been signing a lot of exclusive, exclusive content agreements. Right? Because we talked about this in, actually on the podcast and the newsletter multiple times last week. As an example, Reddit, has now officially started blocking, different search engines from its from accessing its content, you know, because Reddit has a, has partnership deals with Google's, Google's Gemini and OpenAI's ChatGPT. So, you know, this, kind of new search GPT, we might see. Right? Which I know sounds weird. So, you know, right now, there's certain, airlines, at least here in the US, that aren't on certain airline search engines. Right? So as an example, you might use a, airline search engine like KAYAK, but I'm pretty sure that Southwest, as an example, isn't on KAYAK. So we might see something in the future that, you know, you might go to, as an example, search GPT if you need certain content from certain publishers, and you might have to go elsewhere if you need content from other publishers depending on how of how all of these content agreements actually shake out and the lawsuits, obviously.
Jordan Wilson [00:20:13]:
So there's obviously a lot of ethical considerations, including safeguards against misinformation, respect for intellectual property, and protection against biased content, and those are all reportedly being worked into search GPT's design. Potential challenges, yeah, there's a lot, include privacy concerns, the impact on web traffic, and just digital business models in general. Right? Because here's the reality y'all. This means less clicks to publishers. Right? You know, probably one of the one one of the easiest, examples is looking at these big companies like Quora, like Reddit, like I mean, probably the biggest one is Stack Overflow. Stack Overflow, in particular saw their traffic go down, I believe, in the, 1st year or so after ChatGPT and after all these large language models, they saw their traffic go go down initially by, I believe, 30 to 40%. So as all of these online publishers, news organizations are seeing a huge drop in the number of users that are ultimately going to their website, what that means is a couple of things. You're gonna see more and more content partnerships like we've seen.
Jordan Wilson [00:21:31]:
Right? So even big organizations like Axel Springer, like the Financial Times, like like Reddit. There's so many big media groups and traditional news organizations that have entered into partnerships with OpenAI, with Google, etcetera. So you're either going to see that or you're going to see a lot more lawsuits. As always, make sure stay tuned here, but, also, keep your eye out on the New York Times versus OpenAI lawsuit. I've been saying all along that that is the biggest domino to fall on just not if I'm being honest, it's not just the future of how we use the Internet. It's the future of how we obtain information. Yeah. Let me say that again.
Jordan Wilson [00:22:17]:
That lawsuit, The New York Times versus OpenAI. So The New York Times is suing OpenAI, for allegedly, taking, quote, unquote, taking or scraping millions of different articles that were copyrighted and, you know, according to the New York Times, using that to train its model. So however that lawsuit pans out is really going to change how we use the Internet in the future. Right? One of the demands that the New York Times is making is that the GPT model be destroyed. Yes. That is in the actual lawsuit. Comical? Maybe. In the lawsuit? Yes.
Jordan Wilson [00:22:58]:
Plausible? Probably not. However, you really have to take a look at how, that lawsuit plays out. It's going to not only impact, like I said, how we browse the Internet, how we get information, but it's also probably gonna impact largely large language models. Alright. I'm glad that Jennifer and and Fred, also read the newsletter. And, yeah, Michael, I might have called this a while ago. Alright. So our last piece of AI news for the day, this one's pretty big.
Jordan Wilson [00:23:30]:
So new reports are showing that OpenAI faces a potential 5,000,000,000 with a b, $5,000,000,000 loss in 2024. So according to a new report from the information, OpenAI might incur a loss of up to $5,000,000,000 this year based on an analysis by the information. Despite being valued at $80,000,000,000, the company's high operational costs are driving significant financial losses. Again, this is just according, to this report from the in, from the information, but internal financial data and insights from individuals involved in the business suggest that OpenAI will need to secure additional funding within the next 12 months. Reports also show that OpenAI's operational costs are staggering. So OpenAI is reportedly spending about $7,000,000,000 on training and inference for its large language models And around $1,500,000,000 on staffing, which is a ton considering, I I I believe the last head count at OpenAI was, like, less than 600, employees. So a lot of people don't understand. You know, when you look at Microsoft and Google, those are companies with 100 of thousands of employees.
Jordan Wilson [00:25:00]:
When you look at OpenAI, they are technically still a start up. So that is actually a huge staffing cost. When you talk about 1,500,000,000 for, at least according to the last headcount that we saw was, just under 600 employees. I'm sure it's a little more by now, but still. So the rapid growth of OpenAI's business is contrasted by its substantial expenses, highlighting the challenges of scaling AI technologies. So the company's financial situation could impact its ability to maintain its current trajectory without new investments. And this development raises questions about the sustainability of high growth AI ventures and what is their financial strategy. So, obviously, we talked about potential, lawsuits from The New York Times, but I think this is also reflective now from stiff competition, from Anthropics Claude, from Meta coming out here with this new open source, Llama 3.1, that is at least right now showing comparable scores to OpenAI's GPT 4 Omni.
Jordan Wilson [00:26:14]:
Obviously, llama 3.1 right now is not multimodal. As, you know, ChatGPD has many more multimodal capabilities right now. But, I mean, here's here's what I think is going on y'all. OpenAI has been they've kind of taken a a slightly different approach here in the last couple of months. We've seen a lot of talk on the new desktop model. Right? So this new GPT 4 o, people are always like, oh, well, it's free. Why would I have a paid account? Well, that's because there are so many new features that should, in theory, be dropping any day. So, last week, there was actually some reports over the weekend that showed, OpenAI was pushing some small developments and working on some small developments over the weekend, which generally happens right before, a big release.
Jordan Wilson [00:27:07]:
So we probably should be seeing either, this kind of new desktop capability. So for Mac, if you have the paid version of ChatGPT plus, you essentially on the Mac, you will be able to click one button, and the, ChatGPT will be able to see your screen. It will be able to understand what's going on in near real time and also these new, more neural, kind of voices, right, with much, less latency than the current versions. So think of, like, a way smarter. Right? So ChatGPT has had the the kind of the voice capabilities now for, many months, which is pretty good. Right? Actually, if you compare it to to Siri or Alexa, I would actually say the voice assistant is much better. Not only is it about the same speed, but it is way more accurate. So we should be seeing the, the newer version of kind of the, the ChatGPT's voices or text to speech, much more neural, lower latency, etcetera, but also this new, desktop version, which is kind of like an agent.
Jordan Wilson [00:28:19]:
Right? The fact that you'll be able to just click a button on your computer, ChatJPT will be able to see, and you'll be able to talk to it. Right? You can just be like, hey. What's like, why am I getting this wrong? Rewrite this code. Or you could just click on you know, you got a bunch of tabs open. You can just narrate what you're doing and then say, hey. Write me this, this outline for this project that I'm working on. I'm doing all of this research. Here it all is.
Jordan Wilson [00:28:45]:
Can you write this for me? Right? So it's it's pretty exciting what OpenAI is working on. But at the same time, like I said, they've taken a little bit different approach because I think early on, right, even when you just look at the, the original ChatGPT, It just kind of, quote, unquote, came out of nowhere. And that even when you look at the first paid version of chatGPT, it wasn't really announced. It just came. Right? So now they've taken I won't say they're quite in the Google, kind of line here because Google is notorious for talking about all of these new AI features, all of these large language models, features, and not really releasing any of them anytime soon or even giving dates. Right? So, Google at their developer, their IO conference a couple months ago, they talked about their new project Astra, which was this kind of live AI assistant. We haven't really seen much of anything since. We heard about their new gems feature, which is similar to, ChatGPT being able to develop GPTs, so smaller versions, of the model.
Jordan Wilson [00:29:50]:
You can kind of train it a little bit, upload your own data. So we heard about Google Gemini's gems. They never came. Haven't really heard anything about it since. So, unfortunately, it looks like OpenAI is is kind of going more down this Google route. Right? So now we have both the desktop app, We have the, kind of the new voice features, and now we have this search GPT. All of these things that have been announced, but we don't have them yet. So, I do expect we should see, some movement at least on the, the new text to speech capabilities with the new voice, capabilities as well as the desktop app.
Jordan Wilson [00:30:29]:
I do expect to see that this week, if not next. However, search GPT, who knows when it might be coming out. And all are these things related? Right? Some of these delays and then this new reports here, from the information talking about a potential $5,000,000,000 loss. Y'all, I've been saying this all along. To pay $20 a month for a ChatGPT, It is a steal. Right? Pretty sure they are losing money on every single subscription. I mean, same thing with Claude. Right? Even though I wish Claude as as great as, you know, 3.5 Sauna is and the new artifacts feature, it doesn't have access to the Internet, so I don't use it as much as I like.
Jordan Wilson [00:31:09]:
But still, the fact that you can get these things like Claude and OpenAI's ChetGPT and Perplexity for $20 a month, It is presumably costing these companies so much more. So if you are not using these every day, you are missing out. And, hey. Hopefully, these companies figure out the whole, you know, turning a profit. But I think it is a long term play, and I don't think necessarily these companies are worried about turning a profit, even though, like we said, reportedly, you know, OpenAI was, valued at, $80,000,000,000. So that's a lot for today. So let's go ahead and quickly recap what we have going on. So here are the 5, I believe, 5 stories we talked about today.
Jordan Wilson [00:31:57]:
So Meta just announced, well, about 6 days ago now, their 3.1 updates to Llama as well as for the first time, releasing its large model, 405 b. Alright. So they updated, their 8b and 70b, as well as released their 405 b. Next, Apple is reportedly delaying their Apple intelligence features for another month, so we may not see it until the iOS 18.1 release in October. Then we had Morgan Stanley and Chase Bank going all in on large language models, each of them respectively releasing new AI and large language model features for their employees. Chase Bank 1, pretty exciting there with 50,000 employees reportedly getting access. Next, OpenAI, kind of teased at least. I won't say they released search GPT, but they teased search GPT, which should challenge, Google and perplexity.
Jordan Wilson [00:33:00]:
And then last but not least, a new report from the information showed that OpenAI is facing a potential $5,000,000,000 loss in twenty 24. Alright. That's it, y'all. I hope this was helpful. Make sure, if you haven't already, go to your everyday ai.com. Sign up for the free daily newsletter, as well as you gotta get into our thanks a million giveaway. I'm telling y'all, I don't think I actually put the link on our livestream yet. I'll drop it in here once I'm done, but you gotta go in there.
Jordan Wilson [00:33:31]:
You gotta sign up. We are giving away, not only a free year of ChatGPT to the winner or, you know, if if your thing is is clogged or perplexity, that's fine. So you get a year premium subscription to your large language model of choice, but we are going to be dripping out in the coming weeks, some different prizes, things that you literally cannot buy. So if you haven't signed up yet, it takes about 30 seconds. And then to climb the leaderboard, all you gotta do is go in there and refer some of your friends. So if you find everyday AI helpful, if you're listening all the podcasts, people reach out to me all the time, which I really appreciate. I always put, you know, our email and my LinkedIn, in the show notes if you're listening on the podcast. But, you know, people are always like, hey.
Jordan Wilson [00:34:17]:
How can I help? This is so great. I can't believe this is free. Well, this is one of those things. So please, if you haven't already, go sign up for the thanks a million giveaway contest. Go tell your friends, and make sure to join us tomorrow and every day for more everyday AI. Thanks, y'all.