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Decoding Big Tech AI Announcements
As with every industry, adaptation is crucial in the fast-evolving world of AI. Staying updated with advancements is key to maintaining an edge. In this whirlwind of innovation, five major technology companies—OpenAI, Google, Microsoft, Amazon, and XAI—are leading the charge, setting new standards and forcing competitors to adapt quickly.
OpenAI: The Smartest Yet
OpenAI has been making waves with its new models—the o1 pro model and ChatGPT Pro—despite controversy over its shift from non-profit to profit-making. They tout the o1 model as their smartest yet, with a 50% performance improvement focusing on problem-solving in areas like math, science, and coding. While external debates continue about the $200 monthly cost for ChatGPT Pro, businesses should pay attention to OpenAI’s impact on the AI industry.
Technology Democratization: Microsoft's Copilot Vision
Microsoft introduced Copilot Vision—an AI feature embedded in the Edge browser. While Copilot Vision currently caters to a niche audience, businesses would do well to keep an eye on this tool's potential integration with services like Windows and Microsoft 365, creating opportunities for smoother workflow and improved user experiences.
Google: Aiming to Disrupt the AI Leaderboards
Google's new Gemini 1206 model isn't just a new shiny toy; it's a direct challenge to OpenAI's ChatGPT, surpassing it in leaderboard scores. This, along with enhancements in Android's AI capabilities through Gemini, signifies major improvements in user experience—perhaps most notably on Pixel phones.
XAI: Mobilizing the Market with Major Funding
Musk's XAI is not to be underestimated. The company recently secured $6 billion in a new funding round, boosting its valuation to over $40 billion. This formidable capital backing signals an acceleration in AI innovation which businesses should keep in check.
Amazon: Expanding Content with Frontier and Nova Models
Amazon AWS's new generative media models, Nova Canvas for image tasks, Nova Reel for short video, and the Frontier model all highlight Amazon's ambition to expand the scope of AI's capabilities. Businesses should look at Amazon's commitment to expanding content without compromising responsible use.
Navigating AI Development Amid Government Influences
The recent cabinet appointments could significantly influence the course of AI development. With influential figures holding divergent views on regulations, businesses should be aware of potential regulatory changes which could affect how AI products are developed and deployed.
Opportunities with Large Language Models
The surge in large language models provides intriguing prospects for businesses. By examining Amazon's plans to expand Frontier's context window size to over 2 million tokens, businesses can appreciate the possibilities longer conversations can unlock. While OpenAI's current models start to forget after about 28,000 words, Amazon is pushing the boundaries of AI's memory limitations.
Grappling with Ethical AI: A Look at OpenAI's Restructuring
OpenAI's transition to a public benefit corporation may impact the business space. Initiatives like these are an affirmative step towards a more ethical and accountable AI future.
Meta: Emerging Contender
Meta’s introduction of its Llama 3.3 model shows it's a force to reckon with. The fully multilingual model benchmarks better than its predecessor, offering superior performance and affordability to businesses.
Looking Forward
Understanding these developments could play a massive role in shaping business strategy in the coming years. The continued release of updates from these major tech firms is expected to significantly reshape the AI landscape, defining new opportunity areas and business models.
AI is not the future—it's the present. Keeping up with these developments can give businesses an important strategic edge over their competitors.
Topics Covered in This Episode
1. Amazon AI Developments
2. Eleven Labs Voice Agents
3. Microsoft AI Developments
4. Google AI Model Updates
5. xAI Updates
6. OpenAI's Latest Releases and Plans
7. Meta's Llama 3.3 Model
6. OpenAI-Microsoft Relationship
Podcast Transcript
Jordan Wilson [00:00:17]:
What happened? It seems like every single big tech company in the world decided to release new large language models over the last couple of days. I mean, we saw new releases from OpenAI, from Google, from Meta, and Amazon finally full, through their kind of hat in the ring as well. So, you know, there's this great, masterful film called Anchorman. So to quote it, like, that escalated quickly. Alright. What's going on y'all? My name is Jordan Wilson, and welcome to Everyday AI. This is for you. This is your daily livestream podcast and free daily news that are helping us all not just keep up with AI, but how we can use it to get ahead and to grow our companies and to grow our careers.
Jordan Wilson [00:01:13]:
If that sounds like you, that you are in the right place. Yeah. We do this Monday through Friday, every single day. But on Mondays, we go over the AI news that matters. So you can walk into your office as the smartest person in AI. That's what I spend my weekends doing. So you can walk in prepared to grow your company, your career, your department, whatever it is. And another great way to do that is to go to your everydayai.com.
Jordan Wilson [00:01:39]:
So right there, you can sign up for our free daily newsletter because, yeah, we have the livestream of the podcast every single weekday, but the newsletter is where you can actually take all the insights. So, yes, we give you the normal what's happening in the world of AI, but when we have great guests on the show and, you know, when we dive in deep into all these topics, we actually recap and write new content for the newsletter on each day's topic. So you have to make sure to go check that out, as well as you can go listen to 420, plus now episodes of everyday AI. You can go read them, watch them, listen to them on the website. You don't have to go anywhere else. It is your number one stop for AI information. Alright. Also, join us tomorrow.
Jordan Wilson [00:02:26]:
You you know, we use sometimes we do a little hot take Tuesday, here on the show. So tomorrow, you are gonna put me on the hot seat. Your questions, already posted the show if you're on LinkedIn. It's in today's show notes. So if you're a normal podcast listener, make sure to go click that. Get your question in now. You don't have to join us live. I know not everyone can, but get your question in now.
Jordan Wilson [00:02:48]:
What is your biggest question on AI? Grill me. Put me on the hot seat. We're gonna do that tomorrow. Alright. Enough chitchat y'all. Let's get into the AI news that matters for the week of December 9th. OpenAI. Yeah.
Jordan Wilson [00:03:02]:
12 days of ship miss, 12 days of OpenAI, whatever you wanna call it. But, we already got 2, big releases and 2 big updates. But the biggest ones, well, new models and a pricing strategy. So OpenAI has introduced the o one pro model and ChatGPT pro, marking a significant update to its AI offering. So the ChatGPT pro plan is priced at $200 per month, raising questions about accessibility and value. So the o one model is different from the normal GPT 4. So this is a reasoning model. It's a model that kind of thinks, does some kind of chain of thought thinking under the hood.
Jordan Wilson [00:03:42]:
So it is now described as the smartest model in the world with a 50% performance increase compared to previous versions. So we did have the o one preview model before in o one mini. So now it is the full o one, and now you have the o one pro model as well. So there's technically kind of 3 different tiers of this o one thinking model. You got the smaller, one in o one minutei. You have the full o one, and now you have the o one pro, which is only available in that $200 per month ChatGPT pro subscription. So the new pricing strategy has led to a little scrutiny, but a lot of discussion about whether this marks a revolution in AI capabilities or a shift toward exclusivity, potentially creating an elite club for those that can't afford it. So the o one pro model, like I said, is only available with that $200 plan, and it promises improved performance by using more computing power to tackle complex problems in math, science, and coding.
Jordan Wilson [00:04:45]:
So OpenAI's CEO, Sam Altman, and engineers, started to announce these updates. So OpenAI is, doing this again like us Monday through Friday. They're doing it live, at 10 AM Pacific time, which is noon central here. I'm in Chicago. So we're gonna be covering the rest of these updates. And at the very end, I'm gonna tell you what I think is coming over the next 10 days. So, we already saw 2 of these releases. We have 10 more.
Jordan Wilson [00:05:14]:
So, essentially, Monday through Friday of this week and Monday through Friday of next week. But hey. Live stream audience, thanks for tuning in, as always. But let me know what do you think is coming in these next, 10 days, with OpenAI. So a couple other things to know about these new updates. I did, kind of an additional, podcast just on this because we already had a flow a full slate of news and information and guests for you last week. So I already covered, this in-depth. So if you wanna go, listen or watch that, you can go do that on our, on our website if you wanna know all the information.
Jordan Wilson [00:05:52]:
Let me see. I think that was episode, there we go, episode 416. But, it has the higher cost, the new o one model, and also unlimited use. And I think that is important, because I think a lot of these new features that we're gonna be getting over the next 10 days is are either not going to be available on the standard $20 a month ChatGPT plus, or it will be extremely limited. Alright. So, more on that in, minutes. And, also, let me know. What are your what are your predictions, everyone? Richard says maybe unlimited tokens.
Jordan Wilson [00:06:30]:
Michael says, $200 a month for unlimited feature, including their latest model. So, yeah, let's see what we get. Also, I love 60 minutes. Right? So seeing, OpenAI actually on 60 minutes last night was pretty cool. But, yeah, if you missed it, OpenAI did, kind of again preview or tease, its live video streaming capabilities in the advanced voice mode inside of ChatGPT, last night on 60 minutes. Obviously, that is not a feature that's available yet. They've been teasing it now for, many months. So we'll see if we actually, get access to that.
Jordan Wilson [00:07:13]:
Microsoft shipping as well. Here's one I'm pretty excited about. So Microsoft has started to release Copilot Vision. So Microsoft has launched a new AI feature called Copilot Vision, which is available exclusively on its Microsoft Edge browser, and it's designed to enhance the online browsing experience by understanding the full context of user activities while being able to essentially talk with a live AI agent who can see what's on your screen. Alright. So the new feature allows Copilot to read along with what's on your screen and interact with users as they navigate the web, making browser more making browsing more interactive and less solitary. So Copilot vision right now is currently being rolled out as a preview to a limited number of pro subscribers through Copilot Labs in the United States. Initially working with a select set of websites as well.
Jordan Wilson [00:08:14]:
So users have the option to enable Copilot Vision, which acts as a second set of eyes scanning and analyzing web pages to provide insights and assistance such as planning activities or shopping. So privacy and security are prioritized, with vision being entirely opt in and ensuring that all shared data is deleted after each session. So only Copilot's responses are logged, according to Microsoft to enhance safety systems. So Microsoft emphasized that vision does not store or use data from publishers to train their models, maintaining a focus on copyright, user privacy, and safety. So feedback from early testers, including third party publishers, is being used to refine and improve vision with plans to expand access and functionality over time. So we'll probably be doing, an actual dedicated, episode on this vision mode pretty quickly here. And, thanks to our friends from Microsoft, who are getting me on the, on the list here. So, hopefully, we should have a show on Copilot Vision.
Jordan Wilson [00:09:19]:
Maybe we'll have someone from Microsoft come on the show as well. Personally, I am super, super excited for this feature. I will see how many, websites this actually works on, but I think this this is a big step toward the future of work. Right? And I know this sounds weird, and I've been talking about this now for multiple years. I think the future of work, yeah, at least in the short term, where I still think it's gonna be in front of a computer. But if you're a knowledge worker, I think you're gonna be orchestrating a multi agent environment, but I think you're probably gonna be doing that with your voice. Right? That's the reality is, well, you can, most people can speak, about 2 to 4 times faster than they can type. And all these new AI systems.
Jordan Wilson [00:10:03]:
Right? Advanced voice mode, which is what Microsoft uses, Gemini Live. Right? They can hear. They can understand, tonation changes, cadence changes in your voice. Right? So when you're happy, it can kinda pick that up. Right? Which is a little weird. I get it. But I I do think this new copilot vision feature as well as, you you know, what was what OpenAI kind of again teased, on 60 minutes last night with advanced voice mode with live video preview. I think this is the future of how we work.
Jordan Wilson [00:10:34]:
Right? Think of that being on your desktop. And yes, right now, we just see it from Copilot, Copilot Vision and it's just working inside of Edge, which is a great browser by the way. It's based on Chromium. So if you're a Google Chrome fan, your transition to Microsoft Edge will be easy breezy. Everything works there. But I also think think of when this rolls out to your desktop. Right? Whether that's in the ChatGPT desktop app or, in Windows, you know, Microsoft 365 Copilot. Right? But, essentially, an AI agent being able to see and understand everything that you're working on and then being able to talk to it to help you either execute and finish tasks or if you just have questions about something that you're working on.
Jordan Wilson [00:11:17]:
So pretty pretty exciting stuff from Microsoft there as well. Alright. Let's get this thing. Let's keep going because there is a lot. Alright. Google. My gosh. Google went wild wild this past week.
Jordan Wilson [00:11:37]:
Alright. So we could have done a show on just what Google, kind of shipped out, in AI. So we're gonna do a quick bullet point. So number 1, a new model. Yes. Another new model. So the new Gemini experimental 1206. So when you look at those, 1206, right, that means December 6th.
Jordan Wilson [00:11:58]:
So it has surpassed OpenAI's ChatGPT 4 o, which is their 11/20 version. So, essentially, OpenAI in, Google in late November had this back and forth, kind of spat in, you you know, 1st, ChatGPT released their, 11 20 version, and then Gemini released their 11 21 version the day after. And the 2 of those models were actually going back and forth in terms of, what was getting the highest scores on the chatbot arena, leaderboard in terms of Elo scores, which is, again, it's like a blind taste test. Right? So, what Gemini did? Well because originally, they're 11/21. Gemini overtook, ChatGPT 11/20, but they were actually going back and forth. So Gemini just said, nope. We're releasing a brand new version, the 1206 version of Gemini, but you can only really use that inside of their developer sandbox. So if you're still going to the front end, right, if if your company is using, you know, Google Gemini, although it's very improved, it is still using a very old model of Gemini, usually between 3 to 9 months.
Jordan Wilson [00:13:02]:
And Google, unfortunately, doesn't actually tell you, what version. Right? So if you go inside of Google's AI Studio, I think there's like a dozen different versions between their, you know, their flash models, their, on device, Gemma models, their their big models too. Right? Their, 1.5, Gemini model. So you don't really know what you're getting on the front end of Google Gemini, so you gotta go on the back end. But, regardless, pretty big news from Google when they shipped out another version of their big model. We also saw a lot of hardware AI updates from Google with Android. So their latest feature drop, feature drop for Android introduces enhanced AI capabilities through Gemini, allowing users to perform tasks like calling contacts, drafting messages, and controlling device settings more intuitively with a special focus on improving user experience for pixel phones. Google got into the weather game, with AI.
Jordan Wilson [00:13:58]:
So Google DeepMind announced Gencast highlighting its successful, outperforming of the ENS weather model in forecasting, but this was based on 2019 data, and that was published in the journal Nature. So Google is getting in the, predictive weather game, which I think is important because now, as more and more, you you know, different weather services start to potentially use this model, you can just have better weather prediction. So pretty big news there from Google and Gencast. And then we saw Google's new generative AI video model, Veo, is now available in private preview via Google's Vertex AI platform. Right? So they're generative AI video, text to video, photo to video. So it's offering businesses the ability to create high quality, HD videos from text or image prompts with built in safeguards to prevent harmful content and copyright violations. And it's pretty interesting there because that release actually, again, puts Google ahead of OpenAI, whose competing sort of product has yet to launch at least as of this minute. Alright.
Jordan Wilson [00:15:09]:
And then last but not least, Google also, released its new Genie 2 model, which is a world simulator. So this is a large scale foundation world model that can generate diverse action controllable 3 d environments from a single image prompt, offering different perspectives and interactive objects like doors or exploding barrels. So this tool allows artists and designers to rapidly prototype complex scenes with realistic physics effects. So, yeah, obviously, for something like real time video game development, that's huge. You you know, video and creative fields, but you're gonna be hearing a lot more about these world models in the near future. And Genie 2, very impressive. We cover that in the newsletter. And this is all pretty, pretty interesting here y'all because this is right right before Google, Google CEO, Sundar Pochai just said in an interview that AI development is slowing down because the low hanging fruit has been picked.
Jordan Wilson [00:16:16]:
That's interesting. Right? It's interesting for the Google CEO to say, oh, yeah. AI development has been slowing down, yet Google had their biggest week of AI developments and updates probably ever. So is it actually slowing down? I don't know. I don't wanna argue with one of the smartest people in AI in the world. But, hey. Again, if your left hand says one thing and your right hand does something completely opposite, I don't know. I'm gonna judge the actions, not the words necessarily.
Jordan Wilson [00:16:45]:
Alright. More AI oh, gosh. I didn't even mention, x AI and Grok in the little preview there, but we got some updates there. But one of the biggest updates is on the money round. So Elon Musk's XAI company, has successfully raised another multibillion dollar fundraising round, with $6,000,000,000 according to its recent regulatory filing. So, if this sounds familiar, well, it's because they also raised a $6,000,000,000 round in May of this year that valued the company at 24,000,000,000 now. So now this latest fundraising round values xAI at over $40,000,000,000 highlighting the significant growth potential in market impact. So, yes, Elon Musk has his XAI company.
Jordan Wilson [00:17:37]:
So if you use Twitter or Grok, that is kind of under the XAI umbrella. So although the names of investors and investment groups were not disclosed in this latest 6 $1,000,000,000 fundraising round. It is interesting because, this one reportedly had a lot of smaller investors with some investments coming in at under $80,000. So it's it's pretty interesting. So, according to Bloomberg News, XAI was seeking, this funding at a $40,000,000,000, sorry, a $40,000,000,000 valuation, which does not include the newly raised capital capital. Alright. This is like the big tech 101. Talking about all the big companies.
Jordan Wilson [00:18:27]:
So we go from OpenAI to Microsoft to Google to x slash Twitter straight into Amazon. Seems like Amazon's kind of been on the sidelines a little bit. Aside from pouring 1,000,000,000 of dollars into Anthropic, well, now Amazon is officially in the frontier model, large language model sphere. So, Amazon Web Services announced a new family of multimodal generative AI models called Nova at its Reinvent conference last week. So the Nova family includes 4 text generating models. So it has the micro, lite, pro, and premier, with the micro, lite, and pro versions available immediately and the premier version set for release in early 2025. So, right now, Amazon's new models are optimized for 15 languages and offer varying capabilities with micro providing the fastest response time and premier designed for complex workloads and creating custom models. So Nova's text models feature large context windows with micro handling up to a 128,000 tokens and Lite and Pro supporting 300,000 tokens.
Jordan Wilson [00:19:47]:
So, pretty impressive there that Amazon's 1st frontier model already has a larger context window than the leader in this space, OpenAI. Obviously, Google is the, you know, number 1 in terms of context window. But, again, that's only if you're using it on the back end as a developer with 2,000,000, token context window. And but, also, Amazon did plan that they're looking to expand the context window to over 2,000,000 tokens by early 2025. So what all that means without getting into too much depth. Right? So, ChatGPT, if you're using it on the front end as an example, has a 32 thousand, token context window. So, you essentially convert words into tokens, but that means essentially ChatGPT, after about 28,000 words of back and forth, it will start to forget things. Right? So, when you talk about these frontier models with large context windows, that's important because the more you work with them, you want them to be able to understand.
Jordan Wilson [00:20:44]:
And sometimes you might copy and paste just large, large groups of text in there. So, it's really important to understand things like a knowledge cutoff. Right? So how up to date is a model? And then also, what is its context window? You really have to understand the rules of the game if you want to play on the court. But that wasn't all. So, AWS also introduced 2 generative media models. So it had nova canvas for image generation and editing and nova reel for creating short videos. So reel can currently generate 6 second videos with plan for longer longer videos in the future. And both canvas and reel include controls for responsible use, such as watermarking and content moderation to prevent the generation of harmful content.
Jordan Wilson [00:21:34]:
AWS did remain a little vague about the data used to train these models, citing competitive advantages and potential legal issues as reasons for limited transparency. Yeah. That's that's gonna be, the name of the game in 2025, transparency and legal issues. So, looking ahead, Amazon and AWS plan to release a speech to speech model in Q1 of 2025 and in any to any model by mid 2025. So Amazon finally getting into the fold here. So, we've had the Amazon Q, platform, which is essentially a software platform that you would use if if especially if if your company is on AWS, Amazon Web Services, but you essentially plugged into other models. Right? So now Amazon for the first time, hey. At least they got in before 2025.
Jordan Wilson [00:22:27]:
So they're at least a little faster than Apple. Right? But, finally, coming to, the mainstream with its Amazon Nova Frontier models and immediately benchmarking, not above the Google Geminis and the, GPT 4 o from OpenAI, but at least in the same class. Right? So if if you're looking at kind of tiers of models, instantly, even though it's not the best in the world, Amazon is, going from 0 to top tier instantly. Alright. And it should be interesting to see if this is also a way that, Amazon maybe starts to, rely a little less on anthropic as well because, Amazon has invested, nearly, I believe, $10,000,000,000 into anthropic, and they're using a lot of it on the back end, inside of its q platform in in in other places. So, in the same way that Microsoft is starting to develop a lot of its own internal models, which are pretty impressive, to maybe, reduce its reliance on OpenAI's models. We're seeing the same thing here with Amazon. This is a lot, y'all.
Jordan Wilson [00:23:41]:
Let's keep going. Let's keep going. Aliven Labs. Yeah. That text to speech platform, that's actually really good. Well, they've just launched a new conversational AI agent platform designed to enable the creation of customizable and interactive voice agents. So the platform is noteworthy and known for its ability to integrate voice capabilities into the web, mobile, or now, telephone applications in just minutes, potentially transforming how businesses interact with customers. So a key feature of this new platform is its ability to handle turn taking and interruptions, utilizing a real time model to predict when a speaker has finished talking, which is particularly valuable in corporate settings.
Jordan Wilson [00:24:33]:
So the new platform from 11 Labs supports 31 different languages aiming to communicate with customers in their native language. 11 Labs also highlights customer support as a primary use case with the AI capable of handling customer interact inquiries around the clock, reducing wait times and improving customer satisfaction. The conversational AI can also be used for outbound sales, scheduling, interactive gaming characters, tutoring, and more, offering versatility across various in, industries. Integration features include native Twilio support for texting, call handling, and both server side and client side, tool calling for flexibility. The technology can also connect to a variety of large language models, including Claude, GPT in Gemini models, or a custom large language model, providing users with choice and adaptability. So, essentially, you choose a model. Right? So it's it's you don't have to lee, leave that up to 11 Labs, which is primarily text to speech, and you can also upload your own documents. So, again, this is a brand new model.
Jordan Wilson [00:25:45]:
We haven't really gotten a chance to test it out. But, again, we are talking about a drag and drop AI voice agent that can handle your calls, can handle your inquiries. You can put it on your website. You can upload your own knowledge base. You can work with some safeguards. You can use it for outbound call scheduling. I mean, I've been saying this for a while. Agents invoice is gonna be a big focus of 2025, and it's gonna be weird at first.
Jordan Wilson [00:26:17]:
I get it. Because does anyone actually wanna talk to a robot? No. But guess what? I also don't wanna wait on hold for 45 minutes and then talk to someone in a crowded call center who I can barely hear. So it's like, is there pros and cons to each? Absolutely. Would I prefer a human? Yes. But this might be the future of customer service. Right? Talking to a, quote unquote, live AI agent that is powered by a large language model that is neural. Right? So a low latency and response time.
Jordan Wilson [00:26:57]:
So this isn't like talking to to Siri, or Alexa, which is a terrible experience. Right? So don't think of that. Think of, like, advanced voice mode. Right? And how it it it feels real. It feels natural. I I I I think Gemini Live, from Google is is pretty good in this as well. Copilot, uses OpenAI's technology, maybe lagging a little behind, but think of all of these neural, live, and interactive voice models that can kind of, you know, pick up on the tone of your voice. Like I said before, you can interrupt them, right, which I I I know seems rude, and everyone's like, why would you interrupt it? Well, I don't know.
Jordan Wilson [00:27:35]:
When I'm on the phone, I sometimes interrupt someone as well. Right? If an agent if a customer service agent got something incorrect and they're about to give me a a 3 minute spiel on something's wrong, I'm gonna try to nicely interrupt them. Right? But the problem with talking to, quote, unquote, you know, smart AI assistants, over the last decade is they're, well, dumb. And they don't have that, conversate the like, the ability to, kind of carry on knowledge from query to query. Right? If you ask Siri or Alexa one thing and then do a follow-up question, they have no clue what you're talking about. Right? So this is different. And then being able to, you know, for these companies to upload their own documents, to kind of build their own guardrails, and then to actually have access to all that information to hopefully improve their products and services and customer experience in the future, I think is pretty big. Alright.
Jordan Wilson [00:28:29]:
We got more. Here we go. So, president-elect here in the US Donald Trump has appointed David Sachs, to be the new AI czar. So a move that could significantly actually impact the broader AI industry and OpenAI. So David Sachs, if you haven't heard of him, he's, a cohost of a popular AI podcast called All In. It's more of a tech podcast, actually, not an AI podcast. Actually, it's not AI at all. They talk AI, but it's it's a very popular tech podcast as well as he is the former COO of PayPal and a pretty prominent, venture capitalist.
Jordan Wilson [00:29:12]:
So, this appointment alongside Elon Musk taking over an official role in the US government in the leading of the Department of Government Efficiency, so it introduces some influential figures who have been critical of OpenAI. So David Sachs, whose VC firm, Craft Ventures, has invested in Musk's company, XAI, has criticized OpenAI's transition from a nonprofit to a for profit entity. So Musk, like we said, was an original cofounder of OpenAI who left after some internal conflicts and then launched XAI and has been pretty vocal regarding OpenAI's direction. So now you have 2 people with official government titles, who are kind of, you could say pro, you know, acts or pro Twitter, pro GROC and anti open AI. And that's interesting y'all because you have to look at the broader implications. Because we're gonna talk here just in a second about, some some negotiations that are going on between, Microsoft and OpenAI. But whether you know it or not, OpenAI is going to power the majority of our online interactions in 2025. Alright.
Jordan Wilson [00:30:30]:
So Microsoft uses OpenAI's GPT 4 o technology. Apple, you know, essentially for the new, Apple intelligence that's rolling out, the majority of more complex queries are just passed on to OpenAI. So think about that. If you use any Microsoft Windows products, if you use ChatGPT, OpenAI, if you use any Apple products, you're essentially using OpenAI. So it is gonna be interesting when you have some seemingly very vocal, critics of OpenAI, but also who have their money against OpenAI OpenAI in official government positions. This is kind of unprecedented. Right? This, bringing in, kind of some some politics into the AI OpenAI scene. So, right now, government regulation is a growing concern for AI development at large, with Musk and Sachs positioned to shape future policies significantly.
Jordan Wilson [00:31:35]:
So Musk has expressed worries about AGI misuse and supported measures to regulate powerful AI models, whereas Saks has advocated for unregulated AI development markets, suggesting some potential changes or challenges to current regulations, including current president Biden's AI executive order. This is interesting y'all because I don't I let me be honest. I'm not a huge fan of this. I'm not a huge fan of this. Like, I like that there is a, you you know, an AI SAR. Right? Cool. But I would have liked to have someone with some AI research experience. So, yes, David Sacks is a very prominent figure in the tech scene, one of the, you you know, most well known people in venture capital, but he's not really an AI person.
Jordan Wilson [00:32:29]:
Right? He launched a little AI company this year, but, I mean, he's a tech person. He's a VC person. Yes. He was the COO of PayPal. But I would have liked to have someone in this position who has some actual AI research experience. Right? And that's not a slight at at him or his credentials. Right? But I think when you want to elevate someone, to a high government position, you would hope that that person is among the most qualified in the world for that specific, positions. If if if this was, you know, the czar of of technology, it's like, okay.
Jordan Wilson [00:33:04]:
Sure. I can see that, but it's not. So pretty interesting here, and I think that we're gonna have to keep an eye on that. Yes. And thank you, Michael. Also, it is a kind of a dual position. So, also, he is the crypto and AI czar, as well. Alright.
Jordan Wilson [00:33:24]:
Speaking of that Microsoft and OpenAI relationship. So right now, OpenAI is in discussions to remove a clause from its agreement partnership with Microsoft that would exclude Microsoft from accessing its most advanced AI models once artificial general intelligence is achieved. So that is according to a report from the Financial Times. Let's talk about what this means. It's actually pretty big. So, there is a current provision, that would be void or sorry, that which would void Microsoft's access to AGI, and it was intended to prevent the misuse of powerful technology for commercial purposes with ownership defaulting to OpenAI's nonprofit board. So as OpenAI restructures to become a public benefit corporation, away from a nonprofit organization, the change could encourage further investment from Microsoft, which has already invested reportedly over $13,000,000,000 into Open AI, which is crucial for funding the costly development of advanced AI models. So Open AI CEO Sam Altman has highlighted the need for the restructuring, acknowledging the unforeseen scale of capital required in the shift from a nonprofits research lab to a for profit product company.
Jordan Wilson [00:34:51]:
So the discussions include redefining AGI as a continuous process rather than a single point with societal input playing a role in its definition. OpenAI plans to retain an independent nonprofit entity focusing on its mission mission to benefit humanity while ensuring it receives value from its stake in the new for profit structure. The restructuring has faced criticism, like we said, notice, notably from Elon Musk, who was an early cofounder of OpenAI and then broke away from the company and is now suing them, in part because of their shifting away from a nonprofit to a for profit company. Also, this clause is huge. I'm not gonna spend a ton of time because I actually did, like, an hour long show, about 6 months ago, on this. But, essentially, this clause kind of restricts or prohibits Microsoft from using any model that you could say, oh, yeah. This new model from OpenAI, this is AGI. Right? So artificial general intelligence is essentially when a single AI AI model is smarter than most all humans at most all tasks.
Jordan Wilson [00:36:08]:
Right? And we've talked about it before on the on the show here as well. Who defines AGI? Artificial general intelligence. Right? Right now, no one. There there there's no one official definition. It is a moving, goalpost. The goalposts are moving here. Right? And, again, I've said this. If you look at definitions from 15 years ago, we've achieved artificial general intelligence.
Jordan Wilson [00:36:32]:
Right? But the conversation and the narrative and the definition keeps changing. So according to the original clause, essentially, OpenAI's board is the one that says, yo. Yeah. We've achieved AGI. And then at that point, Microsoft's access to certain technology is a little restricted. So, some of these ongoing negotiations between OpenAI and Microsoft are actually extremely important because the overwhelming majority, of businesses out there, especially in the US, are running Microsoft 365 and probably Microsoft 365 Copilot. So, if you want your company, your enterprise to have access to the most powerful AI that's available right now, you have to have it. Right? But there is this, oh, this tipping point of AGI because if if OpenAI were to say, yes, we've achieved AGI, then things get complicated in terms of what Microsoft can and can't have access to.
Jordan Wilson [00:37:31]:
So I know it's it's it's it's this ongoing discussion about this small little clause, but it's important to pay attention to. Alright. I didn't forget about Meta because they quietly came in and released MetaLama 3.3, a new multilingual large language model that is benchmarking way above its weight. So LAMA's 3.3, the most powerful, version of it right now is the 70,000,000,000 parameter model. And here's the thing y'all. From a benchmark's perspective, this $70,000,000,000 or $70,000,000,000 70,000,000,000 parameter version of llama 3.3 is already comparable to the 405,000,000,000 parameter version of llama 3.1, but at a significantly reduced cost in computational demand. That's wild. So, essentially, a a model in 3.3, the 70 b version, a fraction of the size, is already outperforming Llama 3.1405b.
Jordan Wilson [00:38:40]:
So the new model is available under the Llama 3.3, community license agreement, allowing free use with attribution except for organizations with over 700,000,000 monthly active users who need a commercial license. So according to meta benchmarks, llama 3.3 outperforms similarly sized models, including Amazon's new Nova Pro, in multilingual dialogue and reasoning task, though Nova excels in human eval coding test. So Llama 3.3, according to Meta, achieves a 91.9 sorry. 91.1 accuracy rates in multilingual reasoning test. Also, the cost for token generation is bonkers. It is so cheap. It is way cheaper than other Frontier models like, OpenAI's GPT 4 o or Anthropic's Claude Sonnet 3.5 new. It is a fraction of the cost.
Jordan Wilson [00:39:38]:
Right now, token generation for meta 3.3 is a cent per million tokens. Like, that's so cheap. If if, like, if you would have said this, like, a year or 2 ago, you would have said, yeah. Right. That's a 100 years away. That's 50 year whatever. It's it's here already. So Metasize emphasized, which I like.
Jordan Wilson [00:39:58]:
So Metasize environmental responsibility. They said they achieved a net 0 emissions for the training phase through renewable energy. Right? Everyone's always like, oh, large language models, energy demand, energy consumption in the training. Right? Well, there you go. Meta just said they achieved net 0 emissions for training the new MetaLima 3.3. So this metal includes advanced features such as a 128 k token context window and what they're calling grouped query attention or GQA for improved performance. So right now, llama 3.3 is available for download on platforms like meta, hugging face and GitHub with resources for safe deployments such as llama guard 3 and prompt guard. So very impressive here.
Jordan Wilson [00:40:47]:
Right? They literally snuck this in. Right? I think it was, like, Thursday or or Friday, just toward the end of the week. After all this noise, right, like we said, OpenAI, Microsoft, Google, Amazon, it might've just sneaks in. You know, it's not truly an open source model, but it's, it's it's it is open source in some ways, so they slip in a free model that everyone can download and fork and build off of. Right? That's the big difference. All these other models are proprietary. You can't download them and modify them. Right? You can still fine tune them and, you know, add in rag with your data, but you can't literally download them and and and fork them.
Jordan Wilson [00:41:26]:
Right? You can with Metaslama. And the fact that it is this cheap, Meta is a serious, serious contender. Right? I think, you know, sometimes you always think of, you know, OpenAI and Anthropic and Google as, like, a one a and Meta as a one b. Nope. Nope. Meta is definitely one a because they are pushing. They are pushing the prices down. They are pushing the power and the benchmarks up, and then the fact that it is somewhat open source changes, what these proprietary models actually have to do to keep up.
Jordan Wilson [00:42:01]:
Alright. That's essentially it. But I wanted to give you guys some thoughts on, the OpenAI's 12 days of shipments shipments. What do we have coming? 10 more days of announcements. Alright. So Joe said, I would love to see an API playground. You you know, June here, from, YouTube asking about operator. Alright.
Jordan Wilson [00:42:28]:
So let me just quickly tell you this 12 days, which I think is smart because Google's been releasing a ton, and they're about to release a ton more, but they didn't really market it. For a start up, OpenAI is great, at marketing. Their go to market strategy might leave a little to be desired. Right? We get a lot of wait list. We get a lot of, like, blog posts when there's new features. So what we've already seen, we've already talked about it. We saw the new the full version of o one. There is the new ChatGPT pro, the $200 a month subscription that includes o one pro.
Jordan Wilson [00:43:02]:
We also saw OpenAI's reinforcement fine tuning research program. Alright. So those are the the announcements so far. But then what are we gonna need in the next 10 days? Because I think what OpenAI releases here is going to set the tone for 2025. So you need to pay attention. And we're obviously gonna be covering it every single day in our newsletter and probably on the show as well. So what's next? Well, we've seen, in the past couple of days, what looks like a new version of Sora, which is OpenAI's text to video model, image to video model, and as well as a leak of this last week, which we covered. I think we're gonna see it.
Jordan Wilson [00:43:40]:
But who's gonna get access? I don't know. Personally, I think if you're on the free plan, you're not gonna get access, I don't think, to anything. If you're on the $20 a month plan, you might get a little sore if they do actually release it. I do think that they're gonna release it in a very, in a very limited fashion. But I actually think for the most part, you're really only gonna be able to get real utility out of it if you're on that $200 a month plan. Right? The ChatGPT pro plan. I think if the ChatGPT plus $20 a month plan gets sore, it's gonna be extremely limited. Right? Extremely.
Jordan Wilson [00:44:15]:
So we'll see about that. So, the other things that I think are coming. So, over the next 10 days. So we do have, Sora. I I I do think there is gonna be a huge differentiation on this $200 a month pro tier. So I think we're gonna see some advanced voice mode updates, and many things like that are gonna be for the pro mode only. So I think advanced voice mode is going to get tools. I don't know how many tools they're gonna get, but right now, advanced voice mode is not super usable because if you go in and type with advanced voice mode, you can no longer use that chat.
Jordan Wilson [00:44:51]:
It can't see anything. Right? So this this demo we saw in 60 minutes, no one has that yet. You don't have this live, ability to show it video, and it can see and respond. I do think we're gonna get some updated tools inside of advanced voice mode, whether that is the new live vote, live, video, whether it's it being able to see and understand things, on your desktop, similar to the new Copilot Vision, being able to upload files, aside, from, you know, the new o one model can now upload PNGs and JPEGs. So, I hope that the new, advanced voice mode also gets access to real time information on the Internet. So I do think we're gonna see some advanced voice mode, updates and features. Also, some of these things are rumors and rumblings. Some are a little more confirmed.
Jordan Wilson [00:45:40]:
Right? So, I think we're gonna see projects pretty soon. So projects is a way that, would be able to organize chats. So think of, folders. Right? And being able to organize your chats in folders, your files, and, custom instructions in projects. So that one, I would say, is a little more than a rumor. A couple people have been sharing about that online with some screenshots. I do think we're gonna see API costs go down again, whether that's, o one, the new o one models, or the GPT 4 o model. I think we're gonna see both an update to the GPT 4 o model, and it could just be in cost on the API side.
Jordan Wilson [00:46:17]:
But I do think it is very likely we might see a GPT 4.5. We're not gonna get a I don't think we're gonna get a GPT 5, the Orion model. I don't think so. There's no need to. OpenAI's 4 o model, depending on what benchmarks you look at, is still one of the most powerful models in the world. So I think we just may see a 4.5, update. So similarly, how we saw a, GPT 3, GPT 3, 35, GPT 4. I think we're probably gonna see a 4, 5 update.
Jordan Wilson [00:46:47]:
But I think a lot of these updates are gonna be coming at the end, of this, kind of, 12 days of, OpenAI. And then I do think we're gonna see an agent's preview. So, what was codenamed operator, I do think that we are gonna see at least see a preview. I don't think that is gonna become, available. I think there might be a a wait list, and a blog post, but I think this might go into wait list in official announcement because we haven't seen anything official from open ai OpenAI, with agents, again, codenamed operator. We haven't seen anything official. So I think they're probably gonna get finally official, with showcasing, operator and probably a wait list, but not, not a release, I don't think. And, also, with the new Soarer updates, which we'll probably see, that also will likely mean improved image generation because we know the Soarer model has the ability, to generate photos as well.
Jordan Wilson [00:47:45]:
Alright. That was a ton, y'all. Thank you for tuning in. As a quick recap, all the AI news that matters. So OpenAI has unveiled a new new models and a pricing strategy with a $200 a month ChatGPT, pro plan. Microsoft introducing and rolling out Copilot Vision. Google released just about every single AI update under the sun. New Gemini model, Android, for the Pixel, weather models, AI video, world simulators.
Jordan Wilson [00:48:15]:
Then Elon Musk's company XAI secured another $6,000,000,000 funding round. We saw Amazon release a ton of new models, with its Amazon Nova. 11 Labs gets into the conversational agent game with its customizable voice agents. David Sacks was appointed as AI and crypto czar by incoming president-elect Donald Trump. OpenAI is considering changing its AGI clause, to maintain and improve its Microsoft partnership. Meta unleashed, Llama 3.3. And we just gave you a couple predictions on what we're gonna see from OpenAI over the next 10 days. I hope this was helpful.
Jordan Wilson [00:48:58]:
If it was, please share this, repost this. Don't keep all this good information to yourself. Make sure to join me tomorrow. The show link is already posted. Get your questions in. I want you to put me on the hot seat. I also want you to go to your everydayai.com. Sign up for the free daily newsletter.
Jordan Wilson [00:49:14]:
Thanks for tuning in, y'all. Hope to see you back tomorrow and every day for more everyday AI. Thanks, y'all.