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Google’s Emphasis on AI
The Gemini Language Models Google is prioritizing its Gemini language models in an ambitious bid to attract 500 million monthly users by next year. Amid competition with AI systems such as OpenAI's ChatGPT, the tech giant expects it to be a flagship product in their portfolio.
Concerns, Costs, Strategy Amid the AI Race
Notably, concerns are raised around the potential of high costs, akin to OpenAI's $200/month plan. Google, however, has reassured stakeholders of no such plans in the pipeline. Even though they have been criticized for being late to launch AI tools compared to competitors, Google bounced back with robust releases in recent years.
Challenges in Evaluating AI Tools
Non-technical decision-makers in enterprises often face challenges in evaluating large language models. They primarily use front-end platforms for this purpose, a factor that underscores Google’s previous strategic misalignment with its AI products.
OpenAI Revamps its Robotics Research
OpenAI is reviewing the prospects of humanoid robots after rebooting its robotics research department. This move aligns with industry norms and could significantly impact various sectors.
Potential Manipulation by AI
An Eye-Opener from Cambridge Study A study from Cambridge University suggests that AI tools can sway online decision-making. This manipulation potential could subsequently alter consumer behavior and impact democratic processes. The rise of the 'intention economy', where AI anticipates and directs human decisions, is generating ethical debates.
Combining AI Capabilities
The Future of AGI The potential to merge different AI capabilities, for instance, scheduling tasks, could potentially create AGI. This aspect fuels speculation about AGI being worth an estimated $100 billion.
Advancement in Open Source
DeepSeek's B3 Recently, DeepSeek launched its open-source B3 model. On par with proprietary models such as GPT-4 and Claude Sonnet 3.5, it showcases the necessity for open-source advancement.
AI in Social Media
Meta's Upcoming AI-Generated Characters Soon, we may find AI characters making posts on social media platforms, as revealed by Meta's plans. Such a move reemphasizes discussions about the future convergence of AI and social media.
OpenAI Pivots to Public Benefit Corporation Structure
In a groundbreaking disclosure, OpenAI has detailed its restructuring plans into a public benefit corporation. This prospect underlines the changing dynamics in AI-focused organizations.
Regardless of the path we take with AI, it's clear that, going forward, we'll need to carefully navigate ethical concerns, regulation challenges, and strategic decisions to ensure this powerful tool is used responsibly and for the benefit of all.
Topics Covered in This Episode
1. Impact of Large Language Models
2. Google's AI Strategy
3. OpenAI's Restructuring and Robotics Research
4. AI Manipulation and Concerns
5. AGI and its Valuation
6. DeepSeek's Open-Source Model
7. Meta's AI Plan for Social Media
Podcast Transcript
Jordan Wilson [00:00:16]:
There's a new open source AI model leader. Who is it? Why are Google workers reportedly using Anthropic's clawed to train their models. The godfather of AI increased the likelihood AI will crush humanity. What does that mean, and why did Microsoft put a $100,000,000,000 price tag on artificial general intelligence? Yeah. We might have had the holidays and still in the middle of the holidays craze here in the US, but AI did not sleep. So, at least this week, we won't either. What's going on y'all? My name is Jordan Wilson, and welcome to Everyday AI. This is your daily podcast newsletter and podcast? Wait.
Jordan Wilson [00:01:06]:
Podcast livestream news what? We do so much. It's your daily free livestream podcast and, daily newsletter, helping us all not just keep up with what's going on in the world of generative AI, but how we can use it to get ahead to grow your company and your career. If that sounds like you, Bette, welcome. You are in the right place. The other right place for you is your everydayai.com. That is our website. So, yeah, you can go sign up for the free daily newsletter where every single day we recap our livestream podcast. But also on there, there's more than 430 episodes.
Jordan Wilson [00:01:40]:
You can go back, listen to them all sorted by category. It is a free generative AI university, so make sure you go check that out. Alright. So if this is your first time listening, maybe it's your 430th, we do this almost every single week on Mondays going over the AI news that matters. So you don't have to spend hours every single day trying to keep up. You can just tune in on Mondays, and we cut it all down for you. We break it down, cut through the marketing fluff, and tell you what matters. So with that well, first of all, livestream audience.
Jordan Wilson [00:02:16]:
Hey. How's it doing? Yeah. Like what Jackie said, last few of 2024. Bron Bronwyn, thanks for joining. Richard and Samuel and Brian and Joe, thank you everyone for tuning in. Alright. Let's get to the AI news that matters y'all. A lot going on.
Jordan Wilson [00:02:33]:
A new AI model leader. Yes. At least when it comes to open source models, and it is extremely impressive. Alright. So, Deepseek has launched its new open source b three model competing directly with OpenAI's GPT 4 o. Yes. We have an open source large language model that is competing head to head on benchmarks with the most powerful models, the proprietary, closed ones. So, the v three model is now available on GitHub, allowing users around the world to utilize and modify the model, promoting collaboration and innovation without the constraints of proprietary software.
Jordan Wilson [00:03:17]:
So, yeah, if you're brand new to the large language model game, you're like, what's open source? What's closed source? And there's some things in between. But, you know, open sources, anyone can go and download them and run them. Right? And costs are extremely low. So you can use deep seek online. More on that here in a second. So, deep seek emphasized that v three has achieved performance comparable to top proprietary models like GPT 4 o and Clawsonnet 35 in various benchmarks, highlighting its capabilities and logical reasoning and problem solving. So it uses a mixture of experts or MOE architecture, and v three optimizes its performance while remaining accessible to developers and researchers who may not have the resources of larger corporations. So, this release comes at a time, when demand for flexibility and customizable AI solutions are on the rise, attracting interest from companies and individuals looking to integrate advanced AI into their projects without incurring a high cost.
Jordan Wilson [00:04:21]:
So deep seek positions v three as not only a cost effective alternative, but also a strong contender for organizing, for organizations focused on developing specialized applications in coding and mathematics. The model is governed by a license that permits reproduction, modification, and commercial use, enhancing its appeal among startups and independent developers looking to innovate without facing legal bear barriers. So, pretty big news here, out of, from Deepseek and their new v three model. It is a fraction of the cost, of others, and it's open source. Yeah. So, this is from a Chinese company and, you know, 2025 get used to a lot of AI news and large language models, news coming out of China, but it is a fraction of the cost, to use, Deepseek. So it's it's still a brand new model. I've barely, had the chance to play with it.
Jordan Wilson [00:05:29]:
But, hey. If you have, maybe you're in our livestream audience or listening on the podcast. Send me an email. Let me know. Do I mean, do you all wanna know more about, these, you know, models, these open source, models, models from overseas right here here on the show? The only kind of open model, and it's not true open source, that we talk about a lot is Meta's llama, models, you know, not true open source, but, you know, kind of in between. You know, I don't know how much interest there is out there in these models. You can, obviously use this, on Hugging Face. You don't have to have, you know, a supercomputer in order to download this, but it's a fraction of the size.
Jordan Wilson [00:06:08]:
A fraction of the cost will be, dropping all of those bullet point details in the newsletter. Alright. Our next piece of AI news that matters. This one's weird. I'm not personally a fan, but, you know, it's not gonna impact me too much. But, according to reports, Meta is expecting AI to start posting on social media. Yes. They are wanting to flood their platform with AI users.
Jordan Wilson [00:06:39]:
Yeah. Not real humans. They're just saying, yeah. We're gonna have a bunch of, essentially AI characters, you know, posting on our platforms. Weird. Alright. So according to the Financial Times, Meta is set to introduce AI generated characters on Facebook aiming to enhance user engagement through interactions similar to those with real humans. Yeah.
Jordan Wilson [00:07:01]:
It's are are we living in a simulation? Yeah. Every, you know, I don't know. Our our AI is just gonna be, you know, running their own social media. You know, you have one AI posting a bunch of other AIs fighting with each other in the comments. I don't know. I'm not not a huge fan, but Meta did state that these AI characters will eventually function like real human user accounts complete with bios and profile pictures, the whole thing. So users will be able to create and interact with these AI characters through Meta's AI studio, which has already gained some popularity for generating virtual relationships. Yikes.
Jordan Wilson [00:07:39]:
So the AI studio currently features 100 of thousands of characters, and meta plans to expand access to more countries over the next 2 years, focusing on making AI interactions more social. So this obviously raises a ton of safety risks, right, including the potential for exposing users to inappropriate content and, obviously, the spread of misinformation and disinformation. Also, there's not a ton of information yet out. This is just the one reports, from the Financial Times, but there's not a lot of information yet on how Meta might plan to police these AI generated users that are gonna be out there running amok, on their social media platform. So, hopefully, there will always be some sort of either watermark or something to let everyone else know that this is, an AI user, whether it's commenting or posting, stories. So, I I do hope and assume that Meta will at least go through that. To me, that is the bare minimum of what would actually have to happen in order for this to be, successful, but I I don't know. I don't personally, see the value of this.
Jordan Wilson [00:08:54]:
It does look like, you know, people may be able to make, within Meta's, AI studio. You know, you could make a bunch of, you know, different personas and then potentially, you know, release those personas to go interact on their own behalf, right, to have agency, on social media. So, you know, you might go assign some of your, AI avatars to go interact with, I don't know, real human content, other AI avatars. I'm not sure. Again, maybe maybe this is, you know, I'm old and not cool. I don't I don't see the point of this. You know, I think there's already, there's it's already gonna it's already been hard enough over the past decade, for people especially on Facebook to understand, what is real, what is not, especially when it comes to news, misinformation, and disinformation. So then when you add in kind of this human, quote, unquote, right, this human element, not sure I'm a huge fan of it.
Jordan Wilson [00:09:53]:
Right? Because I think people can go do their own. Right? Especially, I think, you know, news that is not accurate spreads pretty quickly, on Facebook, but, you know, there's ways to verify that. There's not really great ways to verify who's real and who's not on social media. So like I said, hopefully, Meta will be extremely strict, in how, when, why, these these kind of AI personas can interact on their platforms. Alright. Here's a big one. New information is out on OpenAI's new for profit structure. So OpenAI's recent announcement, they did put a blog post on their website couple of days, you you know, here, in in the US after Christmas.
Jordan Wilson [00:10:42]:
So OpenAI's recent announcement to transform its structure into a public benefits corporation. So you probably if you follow AI news, you're probably gonna be hearing a lot about PBCs, this week and next week. So they've announced their plans to transform their structure into a PBC, highlighting its urgent need for capital to support its ambitious AI research initiatives. So according to reports, and OpenAI did release a blog post on their website, which we will be linking to in our newsletter. So OpenAI is aiming to create a public benefit corporation to facilitate easier capital raising, stating it needs to secure more funding than previously anticipated. So the restructuring follows a $6,600,000,000 funding round that valued OpenAI at a $157,000,000,000 contingent on removing profit caps for investors within 2 years. So the nonprofit arm or what OpenAI technically is right now will still remain a significant interest, in the PBC, ensuring it remains well resourced despite the shift to a for profit structure. So critics, including, original OpenAI cofounder, now competitor, Elon Musk in Meta Platforms.
Jordan Wilson [00:11:59]:
They are opposing this transition raising concerns about prioritizing profit over public benefit. I I I don't know y'all. I don't I don't think, you know, there's obviously a lot of legal drama that's been going on for more than a year between Elon Musk and, you know, OpenAI, but, y'all, like, OpenAI was originally in 2015 established as a nonprofit. That's not what it is anymore. Right? I think people I think people are griping and complaining about this. Right? Like, oh, open. There's no open there's an open AI. They're, you know, they're driving prop and, y'all, like, what do you expect? What do you expect? Right? I don't think the original, founders, really foresaw how quickly large language models would catch on and the need for them to even still, right, for them to still, achieve their, quote, unquote, non, you know, their nonprofit mission, which was to essentially better humanity with AGI and and AI.
Jordan Wilson [00:13:06]:
Right? You need to have money to do that. Many 1,000,000,000 of dollars, potentially 1,000,000,000,000 of dollars of funding. So, you know, 10 years ago, I don't know if OpenAI, could look into its crystal ball and see, oh, yo. We might need 1,000,000,000,000 of dollars in 5 years. Right? I I I think even the most optimistic claims 10 years ago could not have really pinpointed where we're at today. So, this move obviously aligns OpenAI with everyone else. I don't know why people think OpenAI needs its its own set of rules just because it was originally, set up as a nonprofit, but it's y'all, as as someone that worked at a nonprofit for 10 years. Right? Obviously, not this type of nonprofit, but it is very common, extremely common for nonprofits to either branch out and create something like a PBC or to, essentially or eventually turn into a for profit corporation and keep the nonprofit a a smaller piece.
Jordan Wilson [00:14:07]:
But, you you know, something that can still help, align its long term goals. This is very common in the nonprofit world. So I I I don't know why this has turned into a a a year long battle. But anyways, OpenAI finally, came out with some more information, detailing, their ambitions and goals around, this PBC. So like I said, if you wanna read that, we'll be linking to it in our newsletter. So doctor Scott asking, any thoughts on the Musk lawsuit trying to block this? It's it's, it's it's for show. Right? I've, once this original lawsuit came out, I did, like, an hour long podcast, on that, on that lawsuit. It's I mean, again, I'm not a lawyer.
Jordan Wilson [00:14:53]:
Right? It it's it's without merit. I think it's a joke. I I I would say most of what Elon Musk is putting out there in the lawsuit is really just, I think, to, how should I say this? He he has created a direct competitor in XAI. Their large language model Grok is supposed to be upgrading from, you know, v 2 to v 3 here any day. I think Elon Musk wants to keep, himself, x AI, and Grok in the headlines as much as humanly possible. He now has a position of power, right, in the US federal government, which I'll I'll hold my thoughts on that. That's wild to think about. But continue to get right? Especially with that, especially with Elon Musk, having a, you know, unofficial but kind of official position in the US government.
Jordan Wilson [00:15:45]:
Expect this to go on. Expect this, legal drama to keep going. I would say, again, from a objective a somewhat objective standpoint, it's without merit, I would say. His lawsuit, I mean, go read it, judge for yourself. It doesn't take long. You know, I even for fun, I put it into, the lawsuit into every single large language model and just said, hey. Is this, does this thing have legs? Is this real? Right? And every single large language model essentially. Right, aside from trying to be politically correct about it said, no.
Jordan Wilson [00:16:15]:
This is, you know, essentially a joke of a lawsuit. Alright. Here's an interesting one, and I have some personal insight on this. So, Google contractors are reportedly, using Anthropic's Claude to improve their Google Gemini. Alright. So according to reporting from TechCrunch, Google contractors are tasked with scoring Gemini's outputs against Claude's focusing on criteria like truth truthfulness and verbosity. Is that how you say it? Verbosity verbiosity, with up to 30 minutes allocated per prompt, evaluation. So internal communications, again, this is according to reports from TechCrunch.
Jordan Wilson [00:17:04]:
So internal communications reveal that references to Claude are appearing in Google's evaluation platform, suggesting a direct comparison between the two models. Notably, Claude's responses, reprioritize safety more than Gemini, often avoiding prompts deemed unsafe, whereas Gemini often is being flagged for safety violations in certain responses in the testing. So Infropic's terms of service prohibit using Claude to train competing models without explicit permission, leading to speculation about whether Google has obtained such approval. A spokesperson from Google DeepMind confirmed that while model outputs are compared for evaluation, they do not train Gemini using Anthropic's models. So, you know, kind of working in, the gray area there. And concerns have obviously been raised by Google contractors about their ability to accurately assess Gemini's responses on sensitive topics like health care, indicating potential risk in AI generated information. Alright. I'm gonna go ahead and reveal something I haven't revealed before.
Jordan Wilson [00:18:18]:
A $1,000,000,000,000 company reached out to me and recruited me to help them train their models. Alright. Not gonna say who. Anyways, you know, just just for fun, I I I went through went through the process just to learn more. Right? It's not every day a $1,000,000,000 company reaches out to you to say, hey. Can you help us train our large language models? But from the process and seeing how these contractor agreements generally work with these large tech companies, I think this is happening all the time. Right? Even going back to our, initial, big story with deep seek, the new Chinese large language model, the v three model. Right? A lot of people are talking about online.
Jordan Wilson [00:19:02]:
If you ask deep seek, you know, what it is, you know, what are you based on? You get these, responses, from deep seek that says, hey. I am GPT 4. I am based off of OpenAI. Right? So I'll probably do a dedicated show on this at some point, maybe in 2025. But I can tell you this. The combination between remote hybrid workers, you know, using contractors to help in various aspects of training large language models. All models. And and and and, y'all, I'm not talking about Google Cloud, whatever here.
Jordan Wilson [00:19:40]:
All models use outputs from other models to evaluate, period. And I would go ahead and say this is, you know, I'm guessing a little bit here, but I will say it is very safe to say, that certain, large language model makers also use other large language models, specifically the GPT models to train their models as well. So I don't think this is necessarily right if you're someone that, you know, like myself, this is not shocking, but I think this is grabbing a lot of headlines right now. Right? Like, oh my gosh. You know, Google contractors are using Claude to either evaluate and maybe train, its Gemini models. The evaluation part, very common. Right? I will go and say, I would say most models, right, when they're training their sorry. Most, model makers, when training their models, they're probably running the exact same, prompt through at least 8 different, large language models to see how theirs compare.
Jordan Wilson [00:20:45]:
Right? Especially when they're going, through that reinforcement learning with human feedback. Right? So the RLHF. Right? And and they're trying to tell a model, hey. When this input, when a user enters this input into the model, it should have this type of output. This is an example of an output. This is a good one. This is a bad one. Guarantee everyone's using every other large language model out there, right, to to see because you wanna be safe.
Jordan Wilson [00:21:12]:
You you want to make sure that a large language model has good, you know, strict guidelines. But obviously, like we just saw in this story, you know, Claudianthropic, you know, specifically states that you cannot use their model to train. Right? So there is this this ambiguity that I think a lot of companies operate in, training versus evaluating. Right? So you're not necessarily using outputs to say, hey. This is how we should respond from our large language models, but evaluating. Right? It's it's very common. Alright. Our next piece of AI news.
Jordan Wilson [00:21:51]:
Google is making Gemini its top priority, in 2025. So, according to reports, Google is intensifying its its focus on artificial intelligence, particularly its Gemini language models as it aims for significant growth in the coming year. So the company is working to establish Gemini as a leading AI product targeting half a 1000000000 monthly users by 2025. So according to reports during a recent strategy meeting, Google CEO Sundar Puchai emphasized the importance of Gemini stating that the stakes are high amid increasing competition in the AI landscape. So Google aims for Gemini to be the 16th product in its portfolio to reach 500,000,000 monthly users joining the ranks of popular services like Gmail and YouTube. So Google revealed plans for substantial updates to Gemini envisioning a universal AI assistant capable of handling various tasks across multiple devices and formats. Pichai acknowledged the rising prominence of rival systems, particularly OpenAI's ChatGPT, which has become synonymous with AI for many users. So, yeah, a big piece of this report of Google's kind of internal strategy meeting is essentially when people, out in the world, everyday people talk about AI, people just automatically assume you're talking about ChatGPT.
Jordan Wilson [00:23:19]:
Right? So he's he's kind of, kind of voicing this concern or wanting to change the narrative that when people are talking AI and large language models, everyone automatically assumes they're talking about ChatGPT. Right? Because ChatGPT was, the first. Right? The the the first big company to offer large language models on the front end that users could chat with that didn't require, right, like a back end API or using a third party service, it became synonymous with AI. It exploded overnight. So Google executives are confident according to the report that Gemini will offer a richer and more integrated experience leveraging Google's extensive platform capabilities to outpace its competitors. So despite facing scrutiny from global regulators regarding potential monopolistic practices, Pichai stressed the need to focus on delivering innovative techno, technologies responsibly. So Google employees, though, according to reports, expressed concerns about the potential costs associated with using their AI tools. Essentially, they were saying, yo.
Jordan Wilson [00:24:28]:
We don't want a $200 per month plan like OpenAI has. However, leadership assured them there were no plans for high subscription fees such as that $200 per month. Here's the thing y'all. I'm not gonna say it's too little too late for Google. And I've been extremely harsh on Google, especially, you know, early 2023 and early 2024 because Google was asleep at the AI wheel. They were. You know, it was almost, a year. It was almost a year after ChatGPT, that Google released what was then called barred, to the public.
Jordan Wilson [00:25:14]:
For a company like Google, they dropped the bag. I think Google could have a stranglehold on the AI market. They have access to all the users. They completely failed in 2023 and early 2024. Let's be honest. I think they won, the last quarter. Right? Their their their December, with the release of their experimental Gemini 2 point o, Gemini 2 point o Flash. Right? Those are the experimental, not the final versions.
Jordan Wilson [00:25:49]:
Their their new, research, tool, all their tools, a a lot of them in beta. I think Google won the Q4 of 2024 because of their strong December release going head to head with OpenAI when OpenAI had their 12 days of OpenAI. So I I do think Google is now a serious competitor at least, whereas if you would have asked me 6 months ago, and companies do ask me all the time, FYI. Right? Because people always ask. Yes. Companies pay, pay me, pay us, pay everyday AI to consult them. And I I I tell people, and I've told people 6 months ago, don't touch Google. Here's why.
Jordan Wilson [00:26:29]:
Google is fantastic. Google AI Studio, their Vertex, all of their back end, platforms have been great since they launched. Google's Gemini front end has been abandoned up until December. So you're right. When you log in to, you know, gemini.google.com and you're quote unquote chatting with Gemini, it has been absolutely terrible up until December. That's because Google, whatever their go to market strategy is with their large language models, was completely backwards. Right? What you were using on Google Gemini was generally, a model that was 6 to 9 months behind their most recent model. So if you went into Google AI Studio, Google was competing all along with OpenAI head to head.
Jordan Wilson [00:27:16]:
What people don't understand let me say this. This is free consulting advice for you people, at Google, at Claude, everywhere. Right? The people evaluating large language models are not always CISOs. They're not always CTOs. They're not always developers. They're not always software engineers. A lot of times for enterprise companies, it's someone like a chief marketing officer. It's CEOs.
Jordan Wilson [00:27:42]:
I've sat in the boardroom with c suite of a company doing $20,000,000,000 in revenue. So, an enormous company. And they're evaluating models with front end platforms. Okay? Because this whole, like, democratizing AI, yes, that's happening, but guess guess what that means? Smart people like Google who fumbled the bag. That means you have nontechnical people who are evaluating models for the largest companies in the world on the front end. They're not logging into your Google AI studio as great as it is. They're going to gemini.google.com. They're going to ChatGPT.com.
Jordan Wilson [00:28:20]:
They're going to claw.ai. They're going to Mistral. They're making those decisions because AI, large language models has democratized access to AI. You have nontechnical nontechnical people going in there, to front end products, not using the AI, not using developer councils, and they are making decisions for multibillion dollar, the the largest companies in the world. Some of them aren't, but some of them have been evaluating models for the last 2 years that way. So Google absolutely made a, I would say in the long run, $1,000,000,000,000 mistake by doing that. Alright. I'll get off my rant.
Jordan Wilson [00:29:01]:
Sorry, y'all. I know this is AI news that matters, but had to get a little rant in there. It's been a while. Alright. Our next piece of AI news. OpenAI is apparently reconsidering a humanoid robot. Alright. So, according to reports from the information, OpenAI is reportedly considering again developing its own line of humanoid robots.
Jordan Wilson [00:29:27]:
So the company has reportedly reestablished its robotics research group after closing it in 2021, indicating renewed interest in the field. OpenAI's potential move into humanoid robotics could position it alongside industry leaders like NVIDIA, Tesla, Figures, and other while also highlighting its strategic investment in companies like FigureAI and 1x. So, yeah, OpenAI has been investing, a lot of money in other robotics companies, but now according to reports has reestablished its robotics research group after closing it about three and a half years ago. So although humanoid robots is a lesser focus compared to OpenAI's advanced AI models, These developments could significantly impact industries from warehouse operations to consumer applications. Yeah. There were other reports that we shared in our newsletter, last week and the week before, also talking about how NVIDIA is deepening its focus on robotics and humanoid robotics as well. And without giving, too much of my AI predictions away for 2025, get used to talking about humanoids and robotics a ton. It is both exciting and extremely scary.
Jordan Wilson [00:30:44]:
I'm not gonna lie to y'all. Alright. Could AI be manipulating humans? Yeah. Yeah. It is. Alright. So, a new study from the University of Cambridge reveals that artificial intelligence tools may be used to influence online decision making, raising concerns about the potential consequences for consumer behavior in democratic processes. So researchers at Cambridge's, Leverhulme I'm not gonna get that right.
Jordan Wilson [00:31:17]:
Leverhulme Center For the Future of Intelligence described an emerging intention economy where AI assistants can forecast and manipulate human intentions selling this information to companies. So this intention economy is seen as a successor to the attention economy that we've been living in here for decades where social media platforms profit from capturing user attention. So now it is going into this, AI predicted intention economy, because, hey, AI can influence and manipulate humans according to researchers. So the study suggests that large language models like ChatGPT could be employed to anticipate user needs and steer human decision making based on psychological and behavioral data. So advertisers could create personalized ads using generative AI tools, dramatically adjusting their strategies based on real time user interactions and preferences. So the research indicates that tech executives foresee a future where AI models will accurately predict user intentions and present tailored information to guide their choices. So, yes, we finally have a official study from a reputable institution confirming what we've already known to be true for a couple of years. So, yes, AI can manipulate humans.
Jordan Wilson [00:32:39]:
Not only that, but, large language models have already been used for a very long time in creating synthetic data. Right? And guess what? That synthetic data or essentially, you know, these large language models are creating data that is used to train other models. Right? So model distillation, but, also, it's using synthetic data for synthetic user testing. Right? So, big companies, instead of running focus groups with, you know, dozens or 100 or thousands of humans, they're just using synthetic AI data. So this is not new, but I do think as we start, transitioning from, kind of 1 point o or step 1 models to step 2. So going from, you know, kind of GPT models, transformers, your traditional chatbots to models that learn, models that reason, models that self improve, and models that ultimately can manipulate humans. Right? And can kind of predict how humans will, react. Right? So I think when you start to combine, online user tracking, with the data that all of these companies have on us with large language models, yes.
Jordan Wilson [00:34:01]:
I I don't think it's wild to say or wild to think about, or wild to think about that AI will be able to intentionally manipulate people's opinions. Right? It's it's already been, I think in the darker parts of the web been being used for a very long time. Hey. Speaking of doom and gloom news, here's more. Alright. So the godfather of AI, Geoffrey Hinton, has raised concerns over AI's now increased potential to threaten humanity's future. So in a striking statement, Geoffrey Hinton, one of the most prominent prominent figures in the history of AI, has increased his estimate that the likelihood of AI leading to human extinction within the next 30 years has doubled. So, initially, he said there was a 10% chance, and now the Nobel Prize winner in physics has said that there is a 10 to 20% chance that AI could lead to human extinction.
Jordan Wilson [00:35:13]:
Yay. Isn't that fun to talk about? So, in a recent interview, he expressed concerns that humanity may soon be outsmarted by AI systems, likening humans to toddlers in comparison to these advanced technologies. So like I said, previously, Hinton had estimated a 10% chance of catastrophic outcomes from AI, but now suggests that risk has doubled and has saying a 10 to 20% chance. So he highlighted the absence of 6 of, historical examples where a more intelligent entity has been successfully controlled by a less intelligent one, raising alarms about the implications of creating artificial general intelligence or AGI. So Hinton previously worked at Google, resigned from Google specifically to speak more freely about the risk associated with AI, emphasizing the potential for misuse by bad actors. He called for government regulation of AI development, arguing that relying solely on corporate profit, profit motives will not ensure safety. And that's a great way to wrap up today's show, talking about company profit. Because at least according to reports, that is how Microsoft and OpenAI are defining AGI.
Jordan Wilson [00:36:34]:
Alright. Yeah. A lot of buzzwords, in the AI news this week. I know. But artificial general intelligence, AGI, is essentially when AI is way smarter and way better than humans at almost any task. Right? And I I I say this a lot. If you're looking at definitions of AGI from 20 years ago, we've definitely already achieved it. Right? People with OpenAI's new o three model, which cost like a $1,000,000,000,000 to, you know, ask one question.
Jordan Wilson [00:36:59]:
People are saying, oh, this new o three model, is AGI. I I don't think so because, today's definition of AGI is changing by the minute. But, there is some important, I I I think, decisions that are being made right now between OpenAI and Microsoft on defining what AGI even means. So according to reports, the two companies agreed to define AGI as a system capable of generating $100,000,000,000 in profits. So this is according to reporting from the information. So OpenAI's public definition of AGI has been described as a, quote, a highly autonomous system that outperforms humans at most economically viable work. Sorry. Economically valuable work, end quote.
Jordan Wilson [00:37:51]:
And I I would say, even according to that definition, if you've used 01 Pro, right, even though o one pro, OpenAI's, reasoning model, it's most powerful. Right? So, we had o one preview and o one mini. Now we have o one regular and o one mini. But, also, if you are on a $200 monthly plan, you have access to o one pro. I have access to it. It is mind bogglingly good. Right? So it doesn't have access to all of OpenAI's other tools right now. You know, the Internet, the ability to upload spreadsheets, right, like using some of these other very important tools.
Jordan Wilson [00:38:26]:
It doesn't have access to all of those yet. But when it does, I don't think you could make an argument. Right? And and as, you know, we've seen some some rumors about, you know, some autonomous capabilities coming, to ChatGPT, like something called tasks where you can schedule, different prompts to run, at scheduled interval at scheduled intervals. Right? When you have that, when you can schedule a model like 01 pro to run at scheduled intervals and connect to the Internet and handle with all your and work with all your data. At that point, it's like, yeah. That that's that's AGI. Right? At least according to OpenAI's definition, but that's not the definition anymore. So notably according to these these reports, any system classified as AGI will be excluded from intellectual property, licenses and other commercial agreements between Microsoft and OpenAI in their partnership.
Jordan Wilson [00:39:24]:
Right? Because OpenAI, has reportedly received more than $13,000,000,000 in investments from Microsoft, and Microsoft reportedly has a 49% stake in OpenAI. But there was this clause that essentially is like, yo, when we get right, when OpenAI gets to AGI, Microsoft can no longer use that technology in its products. Because right now, even though we saw a lot of reporting recently that Microsoft is diversifying, reportedly diversifying, the models that you can use inside of its, Microsoft 365 Copilot platform. But right now, it exclusively runs on, as far as I know, it exclusively runs on OpenAI's technology. Right? So, obviously, Microsoft has hung its hat on the future of OpenAI's models. And there's been a lot of talk recently, especially, you know, in the Microsoft circles is what happens when OpenAI says, hey. We've achieved AGI. Because previously, it was OpenAI's board of directors, their board members essentially, that said, hey.
Jordan Wilson [00:40:36]:
We've achieved AGI. And then at that point, Microsoft would only be able to use pre AGI technology inside Copilot and its other platforms. And that's not a right? It's not not a great, future, especially if you are a a Microsoft fan, a Microsoft user. Right? So now according to reports, they've changed that agreement because that is an extremely you know, I'm surprised that it took it this long, to get to where we at to get to where we're at. Because to have a company like Microsoft, which, you know, depending on the day is the largest company in the world by market cap. To have it say, like, hey, board of directors, Hey, handful of people at OpenAI. You essentially get to decide when we've, quote, unquote, achieved AGI, and then at that point, Microsoft Copilot and its billions of users, right, of Microsoft Systems can no longer benefit from the future technology, that is considered AGI. Yeah.
Jordan Wilson [00:41:38]:
That's not a great way to determine, the, you know, the future of a $1,000,000,000,000 company. So now it is essentially when a AI system has the, track record or the capability to reach a $100,000,000,000 in revenue. So interesting. Also, OpenAI CEO Sam Ullman has expressed optimism about achieving AGI sooner than expected, suggesting its impact may be less significant than anticipated. Yeah. I think, a lot of people are thinking, you know, oh, AGI, it's it's gonna be this, like, catastrophic line in the sand that, you know, it's like, oh, after AGI happens, you know, the the world completely changes. I don't think that's the I don't think that's the case. Right? Because it is going to be arbitrary, but now not so arbitrary.
Jordan Wilson [00:42:28]:
Right? Before it was, you know, kind of like a vibe check. You know? OpenAI's board of directors would be like, yeah. Yeah. We've achieved AGI. Right? Like I said, I think when, an o one model or a model that does chain of thought or reasoning or a logic based model, once it you know, whether you wanna talk about 03 or whatever. Right? But once you give it access to everything that the GPT models have. Right? If if right now, if o one pro had access to everything GPT 4 o has. Right? So all the different all the other, you know, ChatGPT's canvas tool, its ability to browse, you know, ChatGPT search, DALL E, SoR, whatever.
Jordan Wilson [00:43:08]:
Right? I know. Right now, you can't access SoR within ChatGPT. Right? But if o one pro had all of these things and the ability to schedule prompts or to schedule tasks, like, I don't know. I'd say that's probably AGI. But now there's a $100,000,000,000 price tag on the AGI definition. Alright. That's it y'all. As a very quick recap, here are the AI news stories that matter for the week of December 30th, our last AI news that matters for 2024.
Jordan Wilson [00:43:39]:
So, Deepseek has launched, their open source b three model, and it is benchmarking very close to the world's strongest and most capable proprietary models such as GPT 4 and, Claude Sonnet 3.5. Meta, this one's weird. Meta is expecting AI characters to be posting on its social media platforms soon. OpenAI has released more details on its plan to restructure into a public benefit, corporation. Google is reportedly or sorry. Google contractors are reportedly using Anthropic's Claude AI to compare and evaluate its Gemini responses. More Google news. Google is saying AI is its prime focus in 2025.
Jordan Wilson [00:44:29]:
About time, Google, you're only like 3 years too late. According to reports, OpenAI exploring humanoid robots. Researchers are saying that AI tools could manipulate online audiences. The godfather of AI has says now there's a 10 to 20% chance that AI is going to extinguish all us humans, and Microsoft and OpenAI have reportedly put a $100,000,000,000 price tag on the definition of AGI. Alright. I hope this was helpful y'all. If it was, please do a couple of things. Tell someone about it.
Jordan Wilson [00:45:04]:
Right? If, you know, we I think we only have one more show, in 2024. If you gained right, if you gained benefit from open, or from, you know, everyday AI, this year, please tell someone about it. If you haven't already, go to your everyday AI.com. Sign up for our free daily newsletter. We will be recapping all of today's stories, and a lot more, but also please tell someone about this. If you're listening here on LinkedIn, a lot of work goes into everyday AI, every single Monday through Friday. We'd appreciate it if you could share, with your network. Tell someone about it.
Jordan Wilson [00:45:40]:
But also tell them to go to our website because there's like 4 like, there's so much. Thousands of hours of free AI information sorted by category no matter what you care about by the world's leading experts. Alright. Y'all, thank you for tuning in to our last AI news that matters of the year. Hope to see you back tomorrow and every day for more everyday AI. Thanks y'all.