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Shift in the AI Landscape
Amidst a bustling week in artificial intelligence news, it is Google's groundbreaking AI developments that take center stage. Announcing the Gemini 1.5 Pro 0801, hailed as the most exceptional large language model, Google treads into a new era of AI. This model integrates a unique 2,000,000 token context window, pushing the boundaries of tasks in language understanding. Limited within Google's AI Studio or via the Gemini API, we anticipate a fundamental shift in the AI landscape.
NVIDIA Denounces Reports of Delays
Despite rumors in the industry, NVIDIA has rejected claims of AI chip shortages and production delays. Should these reports hold truth, the impact on prominent customers like Meta, Google, and Microsoft, not to mention the broader economic implications, cannot be overlooked. NVIDIA's response is closely scrutinized by key stakeholders navigating timelines and operations in the large tech ecosystem.
Google Gemini 1.5 Pro vs OpenAI GPT 3.5
To further shake up the AI industry, Google DeepMind rolled out Gemma 2 2b, their new small language model. With 2,000,000,000 parameters, this versatile AI model outperforms OpenAI's GPT 3.5. Its standout performance is achieved through distillation, indicating a global shift toward efficient, smaller AI models that can function across a range of devices. With regard to issues of privacy and data, this trend is expected to continue buoying the rise of edge AI technology.
Dynamics in the AI Marketplace
Market dynamics have been anything but bland in the last week, with surprising turns of events as Microsoft listed OpenAI as a competitor, despite the substantial 49% equity stake it holds. OpenAI's prototype SearchGPT directly competes against Microsoft's AI products, crystallizing the ambiguous relationship shared by these two giants, including CEO changeovers and reshuffling.
Canva & Leonardo AI - A New Era of Generative AI
In another surprising turn of events, online design platform Canva acquired AI image-generating company Leonardo AI, an indication of the company's vision toward enhancing its generative AI capabilities.
The Promise of Advanced Voice Mode and Meta AI Studio
Exciting advancements remain on the cards, with the launching of OpenAI's Advanced Voice Mode and Meta's new AI Studio. While these technologies are not yet widely available, users are encouraged to keep a close eye for access through their Instagram accounts. With voice mode's remarkable capability to detect and respond to emotional cues and Meta's customizable chatbots, the engagement factor is expected to be greatly amplified.
Trend toward Small Language Models
Cloud-based AI models remain the industry standard, with an ideal internet connectivity minimizing speed issues. However, the shift towards smaller, more efficient models showcased by Google could pave the way for a new era of 'on-device models'. The past week has demonstrated that over the horizon, the AI landscape offers an array of exciting opportunities and possibilities. In these ever-evolving dynamics, it is clear that the power of AI holds the potential to redefine the tech industry.
As a part of the business community, it is crucial to keep abreast with developments in this rapidly evolving field. Sign up for free daily updates at 'everydayai.com' and join the journey into the new era of AI.
Topics Covered in This Episode
1. Microsoft's Investment in OpenAI
2. Canva's Acquisition of Leonardo AI
3. Google's Latest Acquisitions and AI Developments
4. Google's New AI Models Advancements
5. NVIDIA's Reaction to Manufacturing Delays Rumors
6. ChatGPT Advanced Voice Mode
7. Meta AI Studio rollout
Podcast Transcript
AI [00:00:00]:
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.
Jordan Wilson [00:00:17]:
This has been one of the busiest week in AI news, maybe since we started the show. I mean, we have huge announcements and updates from Google, Microsoft, OpenAI, NVIDIA, Meta. Literally, it is a who's who's list of AI developments this week, and we're gonna be covering them all in today's AI news that matters. What's going on y'all? My name is Jordan Wilson, and I'm the host of Everyday AI. This thing's for you. It is your daily livestream podcast and free daily newsletter helping everyday people learn and leverage generative AI. So, if you're brand new here, thank you for joining us. Everyday AI, it's it's a live unscripted, unedited show bringing you just the realest things in artificial intelligence.
Jordan Wilson [00:01:05]:
So if you're joining on the podcast, thanks as always. Make sure to check out your show notes for more, on today's show as well as, a link to our website, your everydayai.com. Hey. This is not complete just listening in. You gotta read about it. We're always sharing more information, so make sure you go to our website. And, hey, while you're there, go check out our thanks a million giveaway to celebrate a million downloads. We are giving away a year, for either chat GPT or whatever large language model you like.
Jordan Wilson [00:01:35]:
Perplexity, Claude, doesn't matter. We're gonna be giving that away. It is free to enter, so make sure you do that on our website. And then you just go go ahead and click that little button. You can go copy, your unique referral link, send that to your friends and some other ways that you can kind of earn points and enter our giveaway. Alright. So let's get into it right away because there is a lot of AI news and developments y'all. And to our, livestream audience joining us, Michael joining us from YouTube, and Brian and Fred and Christopher, Rolando, Madan, thank you all for joining us.
Jordan Wilson [00:02:08]:
Let me know as we go along. What do you think of these stories? Pretty big, if I'm being honest. Alright. Let's jump straight into it. First, Microsoft has now listed OpenAI as a competitor after OpenAI's AI GPT rollout. So according to reports from CNBC and others, Microsoft has officially listed OpenAI as a competitor in their latest annual report, adding some complexity to their long term partnership. So this marks a shift as Microsoft has traditionally included companies like Amazon, Apple, Google, and Meta as its primary competitors. This is interesting because, obviously, Microsoft is a major investor in OpenAI, having invested previously around 13,000,000,000 dollars into the start up and serving as its exclusive cloud provider and having a reported 49% equity stake in OpenAI.
Jordan Wilson [00:03:07]:
So despite this partnership, both companies are now stepping onto each other's domains, particularly in AI offerings, search, and news advertising. So OpenAI recently announced a prototype search engine called SearchGPT, positioning it as a direct competitor to Microsoft's AI products even though it does use the Bing technology underneath from Microsoft. So AI, though, offers its AI chatbot, via Bing and via their Windows 11, but that's also using the GPT technology. So it's funny. They're each using each other's technology, both very, well vested into the other companies, but now are calling each other competitors. An OpenAI spokesperson stated that the competitive aspect of their relationship was always understood and that Microsoft remains a good partner. The relationship also saw turbulence when OpenAI's board ousted CEO, OpenAI CEO Sam Altman, last November without, reportedly briefing Microsoft CEO, Satya Nadella, though Altman was quickly reinstated. Microsoft did briefly hold a nonvoting board seat at OpenAI, which it relinquished earlier this summer.
Jordan Wilson [00:04:23]:
And then in March, Nadella appointed, Mustafa Llama, the cofounder of DeepMind, to lead a new unit called Microsoft AI, bringing several Inflexion AI employees along. So, Microsoft CEO, Satya Nadella, maintains a close relationship with Altman, emphasizing ongoing collaboration and mutual demand for more resources. So, yeah, pretty, interesting. If I'm being honest, I wasn't, expecting Microsoft to name OpenAI as a competitor, but you think there might be some other motives here. Right? There's a lot of federal investigations going on right now between all the big tech companies. So not just Microsoft, but Google, Apple, NVIDIA, all of them. So Department of Justice, other federal regulators are looking at, potential antitrust, violations against some of these big companies for being too dominant. So you have to think, are there multiple motives here, to listing OpenAI as a competitor? Maybe, maybe not.
Jordan Wilson [00:05:25]:
Yeah. I'm I'm curious what, our livestream audience thinks of that one. Yeah. It's it's, caught caught me off guard, but I I think there might be more than, more than one reason for that. Alright. A lot of acquisitions, this week. Big ones too. So Canva has acquired Leonardo AI to expand its generative AI capabilities.
Jordan Wilson [00:05:49]:
So, Canva has acquired Leonardo AI, a generative AI content and research start up in a strategic move to enhance its AI technology stack. So Canva's acquisition of Leonardo AI includes a combination of cash and stock, though financial terms were not disclosed. However, all 120 employees of Leonardo AI, including the executive team, will join Canva. Leonardo will still continue to operate independently focusing on rapid innovation, research, and development with Canva's support. The acquisition aims to help Leonardo expand its platform, grow its user base, and enhance API business and fund, foundational model research and development. AI did reach out to, some some of my contacts over there at Canva, and there's no, at least right now, there's no direct integration, with Leonardo inside of Canva, although that might change. So we will keep everyone up to date on that. One of the biggest, kind of features inside of Leonardo is its live canvas feature, which allows users to combine text prompts with sketches to create photorealistic images in real time.
Jordan Wilson [00:07:00]:
Leonardo AI has over 19,000,000 registered users and has reportedly generated more than a 1000000000 images. Canva does plan to integrate Leonardo AI's technology into its magic studio generative AI suite to enhance existing tools and introduce new capabilities. So, that is not the only acquisition or acquihire. AI. So Google has kind of acquired, but we'll say it's an acquihire of Character AI cofounders, and they've signed a nonexclusive tech agreement. So according to TechCrunch, Google has AI Character AI cofounder and CEO, Noam Shazir, who initially left Google DeepMind in 2021 to start Character AI, which is an a 16 z backed chatbot startup. So Shazir, known for leading the development of Google's Lambda conversational AI model, will rejoin the Google team in Google DeepMind Research along with some of his colleagues from Character AI. So Character AI cofounder Daniel DeFreitas, hopefully, I got that name right, And additional employees from the start up are also going to be rejoining Google.
Jordan Wilson [00:08:21]:
As part of this move, Character AI's general counsel will serve as the interim CEO of the startup. So despite these high profile departures, the majority of the character AI staff will remain with the company. So that's why it's like, okay. It's not really an acquisition, but they are acquiring essentially their leadership team and then signing a nonexclusive tech agreement. So Google has entered into that nonexclusive agreement with Character AI to integrate its technology, which will also provide increased funding for Character AI. So, yeah, a lot of big acquisitions recently in the generative AI front. Alright. More Google news, and this one is a big one.
Jordan Wilson [00:09:07]:
So Google AI 1.5 AI AI model has taken the lead, for the most powerful large language model, toppling GPT 4 o from OpenAI. So Google has launched a new version of its Gemini 1.5 pro, its latest AI model, setting a new benchmark in the generative AI industry. So it is a new version of 1.5 AI called, love this naming here, version 0 801. Presumably, that is the launch date of August 1st. So the new experimental version 0 801 of Gemini 1.5 pro is now available for early testing via the Google AI Studio and the Gemini API. So the new Gemini 1.5 pro model has topped the LMSYS AI arena leaderboard with an Elo score of 1300, surpassing OpenAI's GPT 4 o, which had an ELO of 1286, and Anthropic Squad 3.5 AI, which had an ELO of 1271. And if you're new here, we talk about the chatbot arena a lot. It is essentially a place where you can go and, go head to head.
Jordan Wilson [00:10:26]:
Essentially, you can put in any kind of prompt and you will get a AI of blind results from 2 different ChatGPT and you vote for which one is better. So it is a blind vote. There are millions of, users that have used this, voting system. So when we talk about Elo score, that's what it is. It is people who are judging head to head which company or which chatbot provides a better output. So, the achievement, the achievement signals a potential shift in the AI landscape with Gemini 1.5 pro taking the lead over, OpenAI and Quad. So it has been called an early user feedback, AI 1.5, overwhelmingly positive with some describing the model as insanely good. So the new version of Gemini 1.5 pro excels in multilingual tasks, mathematics, complex prompts, and coding, also securing the top spot on LMSYS's vision leaderboard for its multimodal capabilities.
Jordan Wilson [00:11:30]:
So not just text capabilities, but multimodal. So being able to understand images as well. A standout feature, obviously, is its expansive context window of up to 2,000,000 tokens, allowing it to process vast amounts of information. One important thing to note here. If you are a free user or even a paid user of Google's front end ChatGPT, so if you go to their Gemini chatbot, you are not going to be seeing this new model. So, I will repeat if you are maybe your company or you yourself personally are using the Google Gemini AI chatbot on the front end as a kind of, quote, unquote, front end user, even if a paid user, you will not be getting this newest, most powerful model. It is only available right now inside Google's AI Studio or using it via the Gemini API. That's something extremely important to keep in mind, and it's something that Google does not always do a great job at communicating, because Google has a lot of different versions of its newest models.
Jordan Wilson [00:12:38]:
Right? So you have, 1.5 AI. You have 1.5 AI. You have 1.5 AI, and then now there's different variations of these models. So you do not get these newest, latest, and the greatest inside of the Gemini front end. This is only if you are logging in in the back end, kind of in some of these developer tools. Alright. More big news. Yeah.
Jordan Wilson [00:13:02]:
It's almost like we're getting bigger and bigger as we go on, today with our weekly AI news that matters. So NVIDIA has denied that they are in experiencing AI chip, shortages and delays in its manufacturing. So NVIDIA has denied a recent report that design flaws will delay the launch of its upcoming AI chips by 3 months or more according to reports from the information. So despite NVIDIA's assurances, the report suggested that delays could impact major major NVIDIA customers AI Meta, Google, and AI, who have collectively ordered tens of 1,000,000,000 of dollars' worth of NVIDIA's GPU chips. So the AI chip company in NVIDIA has unveiled its Blackwell chip series in March. I was there on the, on the show floor, in San Jose when NVIDIA announced, its new Blackwell chip, the successor to the Grace Hopper Superchip. So, yeah, if you are not a GPU chip geek like me, essentially, almost every single big company in the world that is building its own generative AI solutions is using NVIDIA's GPU chips. And so a report of, a potential 3 month delay is pretty significant.
Jordan Wilson [00:14:33]:
That is I mean, think. Just about every single major enterprise company here in the US has built some sort of generative AI feature or functionality, and this could really delay future developments. NVIDIA stated, though, that demand for the hopper chips remains strong and that production for the Blackwell series is still on track to ramp up in the second half of this year. The report mentioned that NVIDIA informed Microsoft and another major cloud service provider this week of a delay in production of its most advanced AI chip in the Blackwall series, but, again, NVIDIA denying that report. Microsoft declined to comment further while Meta and Google did not immediately respond to comments for these reports. And like I said, the delay in NVIDIA's AI chip production, if accurate, could have significant implications for AI driven applications and technology, potentially affecting the AI and operations of major tech companies. And this is especially timely right now when there is a lot of, uncertainty right now in US markets and just throughout the world. We've seen over the past week, essentially, all these magnificent 7 AI tech companies, they've all seen their stock drop by anywhere from about 8 to 12%.
Jordan Wilson [00:15:56]:
So, news of a potential chip shortage or chip delay, could send some of these stocks down even more. So it's worth keeping an eye on the economic impact of this report and if it ultimately plays out or not. Alright. New models, but small ones. Yes. Google has been on a little bit of a tear this week when it comes to new models. Also, by the way, if anyone is reading our newsletter, people are sleeping on the new Google AI image model that they released. Imagine 3.
Jordan Wilson [00:16:34]:
Let me know live stream audience. Did anyone check out our little video review that we did there? It is very good. Alright. Anyway, speaking of very good, Google DeepMind has just unveiled a smaller yet very powerful new AI model called Gemma 22b. So Google DeepMind has launched the Gemma 2 small model, a 2,000,000,000 parameter AI model, small enough to fit on a smartphone yet offering performance comparable to OpenAI's GPT 3.5. So let me repeat that. Ready? A 2,000,000,000 parameter model is now more powerful than GPT 3.5, which was a one 175,000,000,000 parameter model. So, yeah, I'm I'm not good at math on the fly, but that's like 1 percentage of the size.
Jordan Wilson [00:17:31]:
Yeah. So it is 1% of the size and as powerful actually more powerful than the GPT 3.5 model, which for many people throughout the world was their first taste of large language models as that is what chat g p t, kind of launched with as it gained popularity. So the new model, from Google underscores a shift towards smaller efficient AI that can run on various devices, not just powerful computers. So despite the compact size, the Gemma 2 2 b model achieves high performance through a training method called distillation, introduced originally by, Google's, Jeffrey Hinton, the godfather of AI back in 2015. According to Google, the new Gemma 2 2 b model offers best in class performance for its size, outperforming other models in its category, shown, in the LYMSYS charts. While cloud based AI remains dominant for now, on device, on device AI or edge AI is expected to grow exponentially driven by data and privacy concerns. So for our livestream audience here, I'm throwing up, this from Google showing the e Elo scores. Again, this is from the chatbot arena, and you'll see here, the new Gemma 2 b, JEMMA 2 2 b model having a score of 1126 compared to the, again, an older model, but one of the biggest, large language models of 2022, GPT 3.5 AI a score of 1106.
Jordan Wilson [00:19:15]:
So a significantly higher ELO score, for for this model that, again, is 1 percent of the AI, a 2,000,000,000 parameter model versus a 176,000,000,000 parameter model. And let me oversimplify this. And and, yes, Michael Michael here thank you, Michael. Michael is go, going ahead and and calling this out because I did call this actually AI a year ago, when I said the future of large language models is small models. I think after GPT 4, I said future models are going to be much smaller, because a lot of companies originally didn't want to, really start using large language models for that reason because you have to use them in the cloud. And then I think we saw, you know I mean, you have to give credit where credit is due, because, you know, I mean, Microsoft originally had some great small models, Mistral, Meta, some of these other companies, and now that seems to be pushing all the other kind of big players. So specifically Google, even OpenAI with their new GPT 4 OpenAI their new GPT 4 o. Mini models are getting smaller and smaller, which does a couple of things.
Jordan Wilson [00:20:35]:
Number 1, it brings the inference cost down when models are smaller. It also brings the cost down to use them. Right? If these models are smaller and more powerful, presumably, that is gonna cut down on training costs. If the if if it's on a per parameter basis, if the models are exponentially better, that means there's gonna be less time to train, these models, whether you are fine tuning them, bringing in your own data via retrieval augmented generation or RAG. It is going to bring cost and deployment cost down. It is going to bring speed, you know, deployment speed way faster. So this is huge, but also bringing models local. Right? So not just the ability, as an example, to be able to run a, you know, model of the future locally on your computer, which is huge.
Jordan Wilson [00:21:27]:
Right? So normally, essentially, what happens is this. You you know, if you're using a a Gemini on the front end or a ChatGPT g p t, you know, on the front end, cloud, anthropic, etcetera, essentially, you are just communicating with the cloud. So I I don't think speed is really an issue. Right? Although speed, by using an on device or edge a model is is definitely a a plus side. So I don't think people really notice, like, oh, hey. When I'm talking with the cloud, it's it's too slow because it's actually not. I would say so. But use running a model locally, obviously, is faster because you don't have that cloud, connection.
Jordan Wilson [00:22:07]:
But like I said, as long as you have a good Internet connection, I would think for the most part, most people aren't expect, experiencing any of those, speed downsides of working with the cloud. But the biggest thing is being able to run these models locally, especially on a phone. So a 2,000,000,000 parameter model, can be run on almost all new smartphones in theory. Right? However, if you, you know, have an Apple iPhone as an example, you're not gonna be running a Google small language model anytime soon, but this is a huge development. I cannot understate this enough because AI I said once, I'll say it a a 100 more times, the future of large language models is working with many small language models, locally on your computer, on your phone. Models are going to continue to get smaller and presumably more powerful, which really changes what you can do with generative AI. Alright. Speaking of new modes and new models, OpenAI has rolled out it's starting to roll out anyways.
Jordan Wilson [00:23:12]:
It's advanced voice mode for chat g p t. So open AI has launched an alpha version of its advanced voice mode for ChatGPT GPT plus subscribers aiming to enhance natural and responsive AI interactions. So on Tuesday, OpenAI started to slowly, very slowly, roll out the alpha version of its advanced voice mode to a select group of chat gpt plus users. So those users paying $20 a month. That's important to call out because it's not, chat, for ChatGPT teams yet or chat gpt enterprise yet. I will tell you all this. We have both, free accounts, ChatGPT Plus accounts, ChatGPT Teams, as well as ChatGPT Enterprise, for companies that we consult with. We don't have access to it yet on any of our accounts.
Jordan Wilson [00:24:07]:
Once we get it, you can almost, almost guarantee if that will probably be doing a show live where we're talking to the, new advanced mode. AI I I don't know. Would would you guys wanna see a a show like that, like, talking to, the new advanced, voice mode live? So, however, not a lot of people have this yet, but it is, I think, really going to change how we interface with AI systems in the future. So, it voice, AVM. We'll just call it AVM for short. It voice, advanced voice mode. So AVM can detect and respond to emotional cues through vocal tone and delivery, adding a human AI quality to interactions. Early user tests have shown enthusiasm, particularly for the AI's ability to simulate taking breaths while speaking, changing its inflection, tone, and pace just like I'm doing now.
Jordan Wilson [00:25:05]:
So sometimes AVM can talk very monotone like this, and you might not, really think that in advanced, AI mode can then all of a sudden switch it up and talk with some inflection in their voice like this and throw in emotion, but that's exactly what it does. So pretty interesting. The feature was trained on extensive audio samples of human speech, enabling it to mimic natural speech patterns, including inhalations. Users have reported minimal latency between speaking and the AI's response, enhancing the fluidity of conversations and just the realistic nature. AVM can perform sound effects in accents, although it does still retain an American accent even when speaking other languages. So, personally, I'm excited to see, these new features rolled out. And like I said, once we get it, we will probably be doing a show, and a pretty in-depth review, but this is important for a couple of reasons. This is the future.
Jordan Wilson [00:26:06]:
This is the future of AI models. Right? We've seen also Google kind of tease something similar with their project Astra. Although who knows when Google will actually start rolling this out. But this is part of a larger rollout, for OpenAI's GPT 4 o model. So in addition to this new voice mode, there will presumably pretty soon, maybe, be other capabilities rolling out to ChatGPT Plus users. So one will be on the desktop app on Mac, the ability to push one button, and ChatGPT can quote unquote see anything that you are working on on your computer, and then you can be able to interact with it, with this new advanced voice mode in real time as well as it can see through the camera. So a a completely brand new way, to work with AI models. This is just kind of the first step of this multistep process.
Jordan Wilson [00:27:00]:
But, yeah, livestream audience, what do you think? Are you gonna be once this does roll out, are you gonna be talking to this new model? Right? It might literally change how we work. Right? Like, as an example, I think a lot of people kind of just either, you know, are are talking with colleagues on meetings or they are working silently by themselves. This is, I think, going to be one of these weird shifts in how we work, where you're gonna be working by yourself but talking all day. Right? So it is if if if everything works like, initial live demos from OpenAI have shown, it will literally be like having, the smartest human ever, that can see over your shoulder, and you can talk to it, and it can respond in real time. So, both strange and exciting prospects on the future of work. Alright. Tanya. Hey.
Jordan Wilson [00:27:56]:
Tanya says, to do a new episode, on just that advanced mode when it comes out. Throw throw some ideas out there, livestream audience or, hey, even podcast audience. I always put my LinkedIn and, our our team's email in the show notes there. So what would be a fun show for this new advanced voice mode? Because we could do a lot of things. I I don't know. We could even have, 2 versions of it. You know, once I get access to it on 2 different accounts, I don't know. We could have me talking to 2 different versions and interviewing 2 different versions.
Jordan Wilson [00:28:31]:
I don't know. You know, we could get super trippy with that. Alright. Yes. There is still more. Our last AI news story for the week, Meta's AI studio has, been rolled out, and it introduces fully customizable chatbot and new AI tools. So Meta has unveiled some new advancements in its AI studio, including the ability to create customizable chatbots and powerful image and video analysis tools, marking significant strides in the AI landscape. So Meta's new AI studio allows users to create personalized chatbots by providing detailed descriptions, names, images, and specific response instructions.
Jordan Wilson [00:29:18]:
So Instagram users can tailor these bots based on their content, topics to avoid, and preferred links to share. So the latest version of Meta's large language model, Llama 3, is freely accessible to developers, researchers, and startups, offering, capabilities comparable to OpenAI's, kind of GPTs that you can build inside of ChatGPT. Also, despite previous unsuccessful attempts with celebrity based AI chatbots, Meta believes that fully AI, bots will be more engaging and more AI, used by users. So, this is not a general rollout yet. We did check this just this morning. So, I'm not sure if it has to do with the type of Instagram account that you have, whether it's set up as a business account or a profile account. We did, we have multiple Instagram accounts. We checked on both one that's set up as a profile and one that is set up as a business and could not access, the Meta AI Studio.
Jordan Wilson [00:30:25]:
So this may not be, a full general rollout just yet. But, you know, if you found, as an example, chat gpt's custom GPTs, valuable, you might want to check out to see if you have access to this new feature in Meta AI Studio. So like I said, it does, require you to log in with an Instagram account, so we will have those links in our newsletter. Alright. That was a lot of AI news. My goodness. Alright. Let's just go over very, very quickly a recap for the AI news that matters for this week.
Jordan Wilson [00:31:08]:
Yeah. Because you can spend hours trying to keep up, or on Mondays, you can just tune in with us. We'll give you not only all the news, but also what it actually means. Right? We cut through all the smoke and mirrors, all the marketing, and just kick it to you straight. Alright. Ready. So Microsoft has listed OpenAI as competitor, which, like, we talked about. Pretty interesting considering that it has a reported 49% equity stake in OpenAI after investing more than $13,000,000,000 And this obviously comes as OpenAI has started to launch, some comparable products to Microsoft in its search GPT.
Jordan Wilson [00:31:49]:
Canva has acquired AI Image, generating company Leonardo AI. Speaking of acquisitions or acquihires, Google has acquihired, some, character AI leaders as well as signing an exclusive, deal to their technology. Speaking of Google, Google has unveiled its newest, model, Gemini 1.5 pro 0801. So a new version of Gemini 1.5 pro, and this is according to, kind of chatbot Elo scores. Now one of the most powerful or the most powerful large language model in the world. So big news there from Google Gemma, but right now, it is not accessible on the front end. You do have to use their Google, their Gemini API or their, AI studio. Also reported, some NVIDIA delays of up to 3 months for GPUs, although NVIDIA has just kind of denounced that report and said they are not experiencing those delays.
Jordan Wilson [00:32:55]:
Google has released a very impressive small language model in Gemma 22b. So, again, out bench or sorry, outscoring, the, kind of old school GPT 3.5, from OpenAI. So, 1% of the size, a very small model is outperforming a very large, kind of the model of 2022, so to speak. Also, ChatGPT gbt has started to roll out its advanced voice mode as well as Meta has started to roll out its AI studio, connected to Instagram accounts. So wow. Jeez. So much. Literally, like we talked about, every single big tech company, here in the US at least.
Jordan Wilson [00:33:46]:
Like I said, big news from Google, Microsoft, OpenAI, AI, Meta. It is a blockbuster week in generative AI news. So we are not gonna be sleeping. I hope you aren't sleeping on AI either. If you really want to understand artificial intelligence and get ahead, this is the spot to do it, everyday AI. So if you find this valuable, please, consider AI. If you are on, listening on, on, Spotify or on Apple Podcasts. Please subscribe and, leave us a rating.
Jordan Wilson [00:34:20]:
If you're listening here, live on social media, please repost this to your network so they can stay ahead. Guess what? By tuning in every day, by reading our newsletter, you are automatically one of the smartest people in AI at your company. So congratulations for that. Please go to your everyday AI. Sign up for that free daily newsletter, and we'll see you back tomorrow and every day for more everyday AI. Thanks y'all.
AI [00:34:48]:
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 AI sign up to our daily newsletter so you don't get left behind. Go break some barriers, and we'll see you next time.