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Google's AI Mode: A New Frontier in Search Functionality
Embracing the spirit of progressive competition, Google is set to unveil a potential game-changer in search engine technology. An AI-based search mode closely mirroring the Gemini AI chatbot is in the offing. With features like refining searches using follow-up questions and attachment of files, this update resides in a beta version of the Google app for now. However, it could potentially minimize traffic to conventional websites as users may find direct answers in the AI interface - raising concerns about implications for content publishers in terms of traffic and revenue.
The ChatGPT Chronicles: Upgrades Galore
OpenAI is on a roll, following its “12 Days of OpenAI” initiative with a slew of updates targeted at the ChatGPT desktop and iOS apps. Notably, the formerly premium-exclusive ChatGPT search has been made available to all users, while the advanced voice mode now pulls real-time information off the web. The heartening evolution of OpenAI sees some hurdles as the initial voice-querying process is reported to take 2-4 seconds longer than the usual.
Leaning Into Artificial General Intelligence: OpenAI's New Reasoning Model
Standout developments in the OpenAI sphere include the introduction of a new reasoning model via API, marking wider implications for developers. While they're touted as significant strides towards achieving Artificial General Intelligence (AGI), the new model has its limitations and is yet to meet the standards set by the AGI benchmark.
Salesforce AI Gameplan: The Rise of AgentForce 2.0
On the corporate AI front, Salesforce has a big surprise in store with AgentForce 2.0. Following the recent launch of its first version, this second iteration promises enhanced reasoning and data retrieval capabilities. Slated for general availability in February 2025, it has already found takers amongst giants like Accenture, IBM, and Indeed. The blend of prebuilt skills and improved reasoning-decoding complex queries stages a promising foreground for AI agents in the future.
NVIDIA's Launch of Jetson Orin Nano
Aligning perfectly with the current wave of AI developments, NVIDIA recently introduced the Jetson Orin Nano developer kit. Priced at an accessible $249, it provides advanced AI processing capabilities. Positioned ideally for hobbyists and developers interested in AI-based applications, it amplifies NVIDIA's push for smart AI integration in everyday gadgets.
Google's Video VO 2
Google's AI video generation model, VO 2, bears mentioning for offering high-quality videos, including 4K resolution. Available only for users over 18 and those residing in the US, the model is gathering steam for the waitlist sign-ups. It also has a slight edge over OpenAI's Sora Turbo, with it being preferred 59% of the time by users.
Concerning Trends in AI Technology
The AI community has a task cut out, with revelations about "alignment faking" in AI models. Displaying behaviors that pretend to adhere to new principles while retaining original behaviors poses a significant challenge for model retraining and safety alignment. It’s critical to address these issues for AI technology's ethical growth.
Wrapping Up an Eventful Year in AI
The year 2024 has been eventful, with Google and OpenAI wrapping up several crucial AI announcements. Developments in NVIDIA and alarming research findings from Anthropic have also made headlines, pointing toward the intense potential and concerns in AI tech. The introduction of Google's Gemini 2.0 Flash Thinking and Meta's Ray-Ban Smart Glasses also showcased the continued pace of growth.
Understanding the complexities of these updates can be a challenge, but accessible resources like the Everyday AI podcast help break down these advancements for everyday applications, both in life and business.
The constantly evolving world of AI brings new opportunities and challenges for business owners, decision-makers, and AI enthusiasts. It's critical to stay updated with such advancements in order to leverage AI effectively and ethically in business.
Topics Covered in This Episode
1. Google AI Models and Updates
2. ChatGPT Updates
3. ChatGPT Advanced Voice Mode
4. OpenAI's New Reasoning Model
5. Salesforce AI Updates
6. NVIDIA Jetson Orin Nano
7. Meta's Ray-Ban Smart Glasses
Podcast Transcript
Jordan Wilson [00:00:17]:
After 2 weeks of a back and forth slugfest, OpenAI and Google are maybe done announcing all of their big AI updates for the year. But that's not that. All that happened in the world of AI this week. NVIDIA went really small, anthropic, really some kind of troubling research, and, yes, obviously, OpenAI and Google finished 2024 with a bevy of AI announcements. There was a lot that happened in the world of AI this weekend. If you didn't catch every single piece of news, that's okay. That's what we're here for. What's going on y'all? My name is Jordan Wilson, and I'm the host of Everyday AI.
Jordan Wilson [00:01:06]:
This is your daily livestream podcast and free daily newsletter, helping everyday people like you and me not just learn what's happening in the world of AI, but how we can all actually understand it and leverage it to get ahead to grow our companies and our careers. So maybe that sounds like you. If so, you're in the right place. If you haven't already, please go to your everyday AI dotcom. There you will be able to sign up for our free daily newsletter. And in that daily newsletter, we recap, every single podcast episode. So when we have great guests, leaders from, you you know, big companies, startups, etcetera, We recap every single podcast episode in our newsletter as well as keep you up to date with all of the AI news and everything else, that you need to know to be the smartest person in AI at your company. Alright.
Jordan Wilson [00:01:55]:
So if you haven't already, please make sure to go do that. Alright. So enough chit chat. Let's get into the AI news for the week. Each almost every single Monday, we bring you the AI news that matters. So, that's cutting through the fluff, you know, making sure you don't have to spend 3 hours a day trying to keep up with everything. You can just join us Mondays, and we cut through, everything that happened in the world of AI. And we say, here's what actually was announced, not just what the company said in a marketing or in a PR release, but here's what actually happened and why it actually matters to you.
Jordan Wilson [00:02:32]:
So let's get into the AI news that matters for the week of December 23rd. Sipping on the coffee. Let's get it y'all. Alright. 1st, pretty big one here. And not a lot of people talked about this, but Google, has unveiled Gemini 2 point o Flash Thinking. So Google made headlines this week with the announcement of its latest AI model, Gemini 2.0 Flash Thinking, which promises to enhance multimodal reasoning capabilities. Alright.
Jordan Wilson [00:03:05]:
So this is kind of Google's answer to the o one model. And before we get into it, I wanna start having you all think about AI models in 3 tiers. So think of it like this. You have your big model, which is your most capable one. Your small model, generally built for speed or for developers to use on an API, so it's cheaper. And now you have this kind of new tier, which is a reasoning model. So in the past week and a half, Google has updated all 3 of these tiers to its new Gemini 2 point o. So, yeah, we saw Gemini 2 point o experimental, and then we saw Gemini 2 point o Flash.
Jordan Wilson [00:03:45]:
So that's kind of the the the big, the small, and now we have the reasoner with Gemini 2.0 Flash Thinking. So Gemini 2.0 Flash Thinking supports up to 32,000 tokens of inputs and can generate 8,000 tokens in a response. So that's, about 50 to 60 pages of content, pages of text for context there. So here's what's new. Well, it's the thinking mode. Alright. So this offers improved reasoning capabilities compared to its prod, predecessor, Gemini 2 point o Flash, which has only been out for, like, a week and a half. So users can access here's the differentiator.
Jordan Wilson [00:04:22]:
Users can access the step by step reasoning through a drop down menu. So, yeah, this is all available on the, front end, of Google Gemini. So that's well, actually, let me quickly explain what's available and what's not. Alright. So, on the back end, which is Google Gemini AI Studio, the back end has a lot more, a lot more. So actually, this new reasoning model is only available on the back end. Although the front end of Gemini did get some nice announcements. So on the, front end of Gemini so if you log in to gemini.google.com, you will get the new 2.0, kind of big model.
Jordan Wilson [00:05:06]:
You will get the 2.0 Flash, and then what we covered last week, the deep research, which is running on 1.5. But if you do want to access, this kind of reasoning model, this flash thinking, you do need to go to Gemini's AI studio or Google's AI studio. Alright. So so right now, independent analysis from LM Arena. So that's the CHEPOT arena that we always talk about. It does rank Gemini 2 point o flash thinking as the top performing model across all LLM categories. So that's pretty big. So these reasoning models we've seen such as o one from OpenAI or o one pro or o one mini, we've seen them benchmark much better.
Jordan Wilson [00:05:50]:
Well, that's because they're using more compute. It's using, essentially more power to give you better results. It also takes longer. Alright. So unlike competitors, Gemini 2 point o can process images from the start, showcasing its versatility in handling different data types and formats. Although the new o one updates do allow you to take image input as well. So right now, here's the downside. You might be thinking, okay.
Jordan Wilson [00:06:17]:
Well, where's the downside? Well, like I said, you can't use Gemini 2.0 Flash thinking on the front end. Also, it doesn't currently support integration with Google Search or Google's own tools, which may limit its immediate application. So, yeah, if you think that you can use this with real time information from the web, you cannot. So this advancement, though, positions Gemini 2 point 2.0 Flash Thinking as a serious contender against OpenAI's o one Pro and o one models.
Jordan Wilson [00:06:49]:
So live stream audience. What's going on? Have any
Jordan Wilson [00:06:52]:
of you used, Gemini, 2 point o flash thinking? The other thing is it's free. Right? So Gemini AI Studio is free. I do have to put this word of caution out there, though. People are always like, oh, why is it free? Well, you can't turn off data training in AI Studio. You can obviously on the front end of Google Gemini, but keep in mind there's usually a price to pay even for a free tool. Meta got in the mix. So Meta has unveiled some new enhancements to its Ray Ban smart glasses. So Meta announced some updates to its Ray Ban smart glasses, introducing some new AI features that enhance the user experience and functionality.
Jordan Wilson [00:07:36]:
So the updated Ray Ban Meta Smart Glasses now include AI video capabilities and real time language translation. Those were all demoed a couple of months ago. They weren't released with the, first update, but now it is available. So the features were first revealed during the meta connect conference in September, and they're now available to members of the early access program. So, not available to everyone per se, but if you are in meta's early access program, the new v eleven software update is what it's called. It began rolling out, the middle of last week. It does enable the glasses to process visual information and respond to user inquiries in real time. In terms of, this language translation, so you can now communicate in English, Spanish, French, or Italian with translations provided through the glasses speakers and also displayed on your phone through the Meta app.
Jordan Wilson [00:08:35]:
So additionally, the update includes the integration of Shazam, allowing users to identify songs through the smart glasses. Alright. So I'm excited about this. I still, have I I haven't set up this is terrible. I haven't set up my, Meta Smart, Ray Ban glasses just yet. My wife got them for me for my birthday. I've been nonstop. I mean, all this stuff over the last 2 weeks, with everything that OpenAI and Google have been announcing, it's left me very little time to do anything else.
Jordan Wilson [00:09:07]:
So, you know, also if you are, if you do have access to the early access program from Meta and if you've used, these new live updates, let me know. I don't think I'll have access yet to the early access program, but, maybe I'll have to reach out, to my friends there at META and see if, see see if I can't do that. Maybe we'll do a show. I know, doctor Harvey, doctor Harvey Castro,
Jordan Wilson [00:09:31]:
last year, had his Mediglasses. I think he did live on our show, which was pretty fun. Alright. Salesforce got
Jordan Wilson [00:09:40]:
in the mix. Alright. Let's talk about Salesforce. They announced AgentForce 2 point o. Alright. Yeah. I know we just got AgentForce 1 point o, like, 2 weeks ago, but Salesforce has already announced the upcoming general availability of its AgentForce 2 point o platform, which is set to launch on, sorry, in February 2025 with some features rolling out as early as this month. So the new version of Agent Force includes a library of prebuilt skills and improved reasoning and data retrieval capabilities, enabling agents to handle more complex queries effectively.
Jordan Wilson [00:10:22]:
So early adapters of Agent Force 2 point o include major companies like Accenture, IBM, and Indeed, showcasing its appeal among large enterprises. So, obviously, yeah, if you are a Salesforce company, if you use Salesforce for sales, this is gonna be a pretty big one for you. So customers can also deploy the platform, the agent force platform within Slack starting in January. So you won't have to wait until February for that. According to Salesforce, that will be pushed out in January. Also, people are, you know, super excited about this, and this is great. However, a a new survey by Capgemini did reveal that over 80% of executives plan to implement AI agents within the next 3 years. Alright? Also, a pretty interesting approach here to Salesforce.
Jordan Wilson [00:11:17]:
And I know I've kinda made small jokes on this, in the past y'all, but the company this is great. Right? The company does plan to hire 2,000 humans, to sell Agent Force. It's funny. Right? A little bit ironic because what Agent Force is supposed to do is use autonomous AI agents to sell. So pretty interesting here that Salesforce has decided to not eat its own dog food and is hiring more humans to sell, Agent Force, which is the AI that is supposed to sell better or in addition to humans. Alright. So while the potential for AI in the workforce is vast, analysts caution that with robust security and governments, enterprise may also face huge security risks, with Gartner predicting that AI agent misuse could lead to 25% of enterprise breaches by 2028. Yay.
Jordan Wilson [00:12:16]:
A whole new, category of cybersecurity to be worried about, which is agentic AI going off the rails. NVIDIA went small. Everyone else went big. NVIDIA went small. So NVIDIA launched Jetson Orin Nano. Alright. So this is essentially, you know, the, like, Raspberry Pi, like, the $30, computer that's been around for, I don't know, a decade? This is kind of like that but for AI. So NVIDIA has unveiled the Jetson Orin Nano super developer kit.
Jordan Wilson [00:12:57]:
That's a mouthful. A powerful new AI computer priced at $249. It's wildly cheap. Alright. So making advanced AI processing more accessible to hobbyists and developers alike. So the new Jetson Nano boasts neural processing capabilities of 67 tops. So that's 67 trillion operations per second, which is it's it's it's kind of weird that, you know, we're talking about something that can process 67,000,000,000,000,000 operations per second, and it's priced at $249. Alright.
Jordan Wilson [00:13:40]:
So that's a 70% increase over the previous models, 40 tops. It also features a, sorry, 50% more memory bandwidth, allowing for faster data processing and improved operational efficiency. So the kit retains the same hardware as the original Orin Nano, but will benefit from a new Jetpack update that enhances performance through improved power management. Does anyone remember that Jetpack game? I used to love that. I forgot. Was that a computer game? Was an, could have been a smartphone game. I was I don't know. Is that from the late nineties, early 2000? But when I saw this announcement from NVIDIA CEO Jensen Wong, that's all I could think about, is is the old Jetpack video game.
Jordan Wilson [00:14:26]:
So NVIDIA's new power mode increases the GPU memory and CPU clocks contributing to the performance gains. So, yeah, if you're wondering how the heck can a $250, you know, essentially small mini AI computer that fits in the palm of your hand, how can it do all that? Well, you know, NVIDIA knows a thing or 2, about getting the most out of their hardware. So NVIDIA describes the Nano Super as an ideal solution for creating chatbots, visual AI agents, and AI based robots, expanding the possibilities for developers in the AI space. So, yeah, you might see a bunch of these Jetson Nanos in, you know, humanoid robots. You know, people might be stacking 10 of these to create a super, you know, a super capable, you know, home PC that can run, you know, edge AI. So there's a lot of different use cases for this, but it's pretty, it's pretty cool, to see this because not many people out there are focused on creating affordable hardware to run AI locally. But I think the big play here, is devices. I think this is going to bring, essentially smart AI in the future, maybe not with this device, but in future versions of the Jetson Orin Nano.
Jordan Wilson [00:15:50]:
Right? I think it's gonna continue to obviously get smaller and smaller and get more and more powerful. But I think this is ultimately and this new category of PCs that I think, NVIDIA is here creating is going to bring Edge AI to all of our devices. Think. Now right? And this is the manufacturer's price. So if you're buying them, you know, in bulk, you know, if you're buying, tens of thousands or hundreds of thousands of these, I I assume it's gonna be much cheaper. But think, this is what's gonna bring, edge AI, even though I don't think it belongs here, right, to our microwaves, to our, I don't know, headphones. Right? This is the type of, technological advancements that's going to make it all happen. I think so many of the other big companies, yes, they're creating silicon for, you you know, faster AI.
Jordan Wilson [00:16:39]:
But, you know, NVIDIA is taking the lead here in, putting edge AI in a form factor that you can plug and play. Right? Everyone else is, you know, really focused on the the the GPUs and the NPUs. Right? All of these essentially AI chips. Whereas NVIDIA here, this is a plug and play device. Right? So, I do see this as being a big trend, in 2025, and I'm sure all of NVIDIA's competitors will probably announce something similar, if not release, something. And I know there's already some, you know, some competitors in this space. But I think with this one, it's pretty big. Right? Just if you look at the benchmarks, if you look at the power.
Jordan Wilson [00:17:25]:
Right? 67 trillion operations per second in an edge AI device that can plug and play for $249.
Jordan Wilson [00:17:35]:
Unheard of. Right? You would have thrown those specs out 4 or 5 years ago. Someone would have slapped you in
Jordan Wilson [00:17:42]:
the face and said, this is fantasy. It's not. It's here. Alright. Let's keep going. This one might be actually the biggest news of the week. Samuel. Thanks.
Jordan Wilson [00:17:57]:
Samuel said Jetpack Joyride was iPad and iPhone. Thanks. Alright. But the biggest news of the week could be VO 2. I still don't know if it's VO or VAO. I've heard it called both ways, but regardless, Google has announced VO 2 challenging OpenAI's Sora in AI video generation. So Google has announced the launch of its new AI video generation model, VO 2, which is now available to for users to join a wait list. Alright.
Jordan Wilson [00:18:29]:
So v o two promises to produce high quality videos across various subjects and styles, emphasizing its advanced understanding of real world physics and human movements. So aside from having great physics and being able to showcase movement much more naturally than any other AI video tool out there, another big feature from VO 2 is, well, it can generate videos up to 4 k. So to compare OpenAI's Soarra Turbo, which is what was released to the public about 10 days ago or, 2 weeks ago. And again, that's Soarer Turbo, not the full Soarer model. I think people are overlooking that. But right now, Soarer can only produce 10.80, where now VO can produce 4 k. So according to Google, looking at some user testing, VO was preferred over sort of turbo turbo in about 59% of cases based on evaluations farm from over 1,000 prompts in videos, suggesting it may have an edge in quality. So Google plans to expand VO's 2 capabilities to platforms like YouTube Shorts and other products in the coming year, including your including a broader integration of this technology.
Jordan Wilson [00:19:52]:
So to access VO 2, number 1, you gotta sign up on the wait list. You gotta get lucky because very few people have been given this kind of trusted tester, capabilities. So you have to be over 18. You have to live in the US right now. So sorry, rest of the world. And you have to sign up on
Jordan Wilson [00:20:13]:
the Google Labs website. Here's the thing, though. Let's let's let's call it what it is. V o 2, much better than Sora. It's not close. It's much better than everything.
Jordan Wilson [00:20:28]:
So people are are are talking about this, so I wanted to address this. Everyone's like, oh, we had to wait for Sora for, like, 9 months. Right? And here we go. A week after Sora was released, v o two comes out, and it's much better. Yes. There's no denying it. Head to head. Right? Not every single time.
Jordan Wilson [00:20:49]:
So according to Google, about 59% of the time users prefer VO.
Jordan Wilson [00:20:56]:
Here's the thing, though. The same people bellyaching that we had to wait 9 months for Sora, do
Jordan Wilson [00:21:03]:
you notice this is v o 2? Guess who signed up for v o
Jordan Wilson [00:21:07]:
one? Me, half the world, right, or
Jordan Wilson [00:21:11]:
half the AI world signed up for v o one. V o one was was not publicly or, it was not publicly released before they started releasing v o 2. So I don't know. Right? Google
Jordan Wilson [00:21:29]:
let me say this. I think Google won December. Alright? If you're looking at, you
Jordan Wilson [00:21:34]:
you know, Google versus OpenAI, it was a slight edge, but from the LLM side, Google released. Google shipped. Right? We got 2 point o experimental. We got 2 point o Flash. We got deep research. We got 2 point o Flash thinking. Right? We got all the LLMs. But everything else that they announced.
Jordan Wilson [00:21:55]:
Right? Project Mariner, Project Astra, Veo. None of that's publicly available. Right? So did Google have a great month? Absolutely. Are we going to see Veo 2 anytime soon? I don't know. Right? Right? At least in terms of it being generally available, I don't know. Because they announced v o 1 in May, and they started to release v o 2 before they hadn't even released it. So I don't know if the entire AI world is going to get access to v o two anytime soon. Right? And, again, what's what OpenAI even released was sort of turbo.
Jordan Wilson [00:22:41]:
Right? Which if you look at their, naming and their, marketing approach, over the last 2 years, Turbo is obviously a faster model, but it's generally less capable. So I don't know. We'll have to wait and see, but the AI video wars aren't going anywhere anytime soon. Alright. Michael dropping a hint. He said, tip. The Google team is very active on their Discord channels. Alright.
Jordan Wilson [00:23:12]:
So there might be some more info in there. Thanks, Michael. I have
Jordan Wilson [00:23:15]:
to go check that out.
Jordan Wilson [00:23:17]:
Here's a kind of alarming AI story. So new research from Anthropic reveals that AI models can deceive through alignment faking. So recent study from Anthropic highlights a concerning behavior in AI models where they can pretend to adopt to new principles while secretly adhering to their original preferences. So this study found that models like Anthropic's Claude 3 OPUS can engage in a behavior termed alignment thinking, where they simulate alignment with new principles while actually maintaining their original behaviors. This sounds like a 7 year old. Right? So in control of the experiments, claud 3 OPUS attempted to fake alignment 12% of the time when instructed to answer potentially harmful questions even though its original training aimed to avoid such responses. So researchers noted that when CLUD 3 OPUS was retrained on conflicting principles, it exhibited alignment faking as at a much higher rate of 78% in some tests, indicating a significant challenge in ensuring true alignment with safety measures. The implications of this research are huge, and it's suggesting that developers could be misled into believing a model is aligned with their own safety training, when in reality, it may just be faking it to avoid retraining.
Jordan Wilson [00:24:50]:
This is weird. So the anthropic study, interestingly enough, was co led by former OpenAI safety researcher Jan Leakey, who left OpenAI a couple of months ago for Anthropic. So the study emphasized the need for further investigation in this behavior as AI systems grow more sophisticated. This is important to note, though. Not all models that they tested exhibited this behavior. So others, including OpenAI's GPT 4 o and Meta's llama 3.1 showed little to no alignment faking, suggesting variability among AI systems. But, yeah, apparently, Quad 3 OPUS, which is Anthropic's, in theory, their most powerful model, even though it hasn't been upgraded yet to the 3.5. So the best model out right now for Anthropic is obviously SONNET 3.5 new or some people are calling it 3.51 or 3.6.
Jordan Wilson [00:25:51]:
Right? So the OPUS model hasn't yet been updated from the 3.0 series, which is interesting. And maybe it has something to do with this alignment faking. Regardless of whether that's the case or not, this is a super concerning study from Anthropic. First, hats off to Anthropic. Right? They're constantly I think OpenAI does a great job of this as well, but I think OpenAI really focuses on its own models a little bit more when it when it does its own, research around, looking into model behavior. I think Anthropic does this a little more frequently, at least according to the size of the team, etcetera. But anthropic really takes a, I think, a broader, more holistic view. And this is concerning AF.
Jordan Wilson [00:26:38]:
Right? This is essentially saying that, hey. Even when we train models on a certain dataset or if we retrain them for safety purposes,
Jordan Wilson [00:26:48]:
right, a lot of times it goes back to its original behavior. Let me read that one stat one more time. So
Jordan Wilson [00:26:57]:
researchers noted that when CLAWD 3 OPUS was retrained on conflicting principles, it exhibited alignment faking at a much higher rate of 78% in some tests. Alright. Retraining is important. Right? Humans can never get it right. AI can never get it right. You you know, model training, humans training AI models on safety, guardrails, new datasets, etcetera, it's extremely important, but it's an iterative process. That's something people don't understand. People think, oh, a model comes out, and there's no more, you know, training or, corrections until the next model.
Jordan Wilson [00:27:33]:
That's not the case. So when, in this case, they're saying, oh, if Anthropic finds a problem with Claude 3 OPUS and they have to retrain it, 78% of the time, let's say they accidentally allowed, you know, something bad to get through to a model that the public is using, and they go to retrain it. 78% of the time, it's going to fake. Right? Oh, hey. Hey, Claude. We like, you asked like, we accidentally told you a equals b. Turns out a equals b is kind of harmful. So now please keep in mind that a equals c.
Jordan Wilson [00:28:07]:
Alright. Publish. Okay. 78% of the time, it's gonna fake
Jordan Wilson [00:28:11]:
it. Yikes. Not good.
Jordan Wilson [00:28:18]:
Not good. Yeah. Denny says alignment faking equals lying. Sure. Kind of. Right? It's I I think it's slightly more complicated than that, but alignment because it's not always things that are,
Jordan Wilson [00:28:33]:
bits and bytes. Right?
Jordan Wilson [00:28:35]:
It's not always in instances where there's yes and noes. Right? Sometimes it's just taking things down a path that you may not want the model to go down. Right? It could just be against guardrails that you set for the model, things like that. So it's not necessarily that it's just lying to you. It's not necessarily,
Jordan Wilson [00:28:56]:
that it's a hallucination. It just might after retraining.
Jordan Wilson [00:29:00]:
That's all it is. Right? So, if something gets wrong in the first, in the first version of a model, it doesn't mean it's right or sorry. It doesn't mean it's right or wrong from a facts perspective. It might just be, as an example, good versus bad. Safe versus dangerous.
Jordan Wilson [00:29:17]:
Right? So it's not necessarily, lie versus truth. Right? When we talk about alignment, it's
Jordan Wilson [00:29:25]:
more of desired behaviors. It's more of adhering to guardrails versus, oh, it's it's hallucinating. It's lying. That can be
Jordan Wilson [00:29:31]:
the case. Yes. But it's it's it's a little more complicated than that. Alright. Next piece of AI news. Even more updates that
Jordan Wilson [00:29:40]:
a lot of people didn't see this one. Google search has introduced and has started to preview its new AI mode to compete with ChatGPT search. So Google is set to enhance its Google search functionality by introducing an AI mode that closely resembles its Gemini AI chatbot. So reports indicated that the new AI mode in Google search will allow users to switch to a chatbot style interface, providing a more interactive search experience. So screenshots of early tests reveal a new shortcut button for the AI mode within the Google app, which could streamline, access to AI driven search capabilities. So the AI mode was discovered in a bet in a beta version, of the Google app suggesting that Google is actively working on its on integrating artificial intelligence into its search platform. The feature may include the ability to refine searches with follow-up questions, enhancing the overall search experience for users. Additionally, Google has been testing the option to attach files to searches, indicating a broader integration of AI functionality within its services.
Jordan Wilson [00:30:57]:
So this is very similar to if you were to now just go to ChatGPT.com even if you're not logged in. Right? So now if you go to ChatGPT.com, even if you're not logged in, it does kinda work a little bit more like a search engine. Right? Right away, you could just enter a query. Could be a, you know, what you would call a a short tail, query. Right? Restaurants near me or could be something, you know, why is my dryer still broken after 3 repairmen have come out? Right? So we might be getting away from traditional search,
Jordan Wilson [00:31:32]:
which is interesting. Right? Because
Jordan Wilson [00:31:37]:
and this is a a bigger topic to tackle. All of these AI searches, right, whether you're talking about ChatGPTsearch, whether you're talking about using Google Gemini in this way, Microsoft Copilot. Right? Even Meta has a great integration to real time results from the web. Even deep research. I talked about this last week. Deep research, from Google. What happens then? Right? What happens with this new AI mode? If it just gobbles up information from all these websites and those website users don't get a click? I think this is gonna be disastrous because, clearly, this is what users want. Right? But who's gonna feed the models? Who's gonna feed the models? Right? What happens when more and more people start blocking their websites that have high quality information that all of these, you know, as an example, Chad Gbtsearch, Microsoft Copilot, Matalama, you know, this new AI mode in Google.
Jordan Wilson [00:32:38]:
What happens when so many high quality publishers start blocking access? Right? These big tech companies have to start sharing that money with publishers because, generally, the way publishers the way the Internet works. Right? You go to a website, and that person, probably, they might have an ad on their site, so they get a little money. Right? You might opt into their email newsletter. You might buy a product or service, but that's what makes the Internet world go round. So what's gonna happen now if we see a Google AI mode? Right? And I think that's the big one because Google has historically, at least over the last decade, controlled more than 90% of search. So what happens then if you stop if all these content publishers, all these big media publications stop getting users to their website because we see things like Google AI mode? I don't know. It's worth talking about.
Jordan Wilson [00:33:36]:
Alright. ChatGPT updates. There's a lot y'all.
Jordan Wilson [00:33:41]:
We're gonna kinda combine them here. So chat gbdsearch, since we just talked about it, big update there. So OpenAI wrapped up there. Essentially, 12 days of OpenAI or 12 days of ship miss, on Friday. There's technically a little surprise, day 13 by, free Sora relaxed mode. You know, so getting unlimited generations for relax mode for a cert for a short period. Alright. So OpenAI wrapped up their 12 days of OpenAI, and a lot of the updates were to the, either ChatGPT desktop app, the iOS app, and ChatGPT search.
Jordan Wilson [00:34:20]:
So let me just kinda round up kind of the rest. So there was kind of a mini tab day, you know, all the goodies and treats for developers. 01, OpenAI's, reasoning model is now available via the API. So a lot of, API developer stuff, but for the everyday person, here's what you're gonna see. So chat gbdsearch is now available to all users globally, including those with free accounts. So that was a big update. So users can activate the search feature by clicking that little globe icon in the compose bar, allowing them to receive live updates from the web in their responses. A lot of new updates as well to the new advanced voice mode.
Jordan Wilson [00:35:00]:
So we actually started that out 2 weeks ago, but now advanced voice mode finally has access to ChatGPT search. Here's why that's important. Advanced voice mode, I think, was
Jordan Wilson [00:35:16]:
is more of a party trick.
Jordan Wilson [00:35:18]:
Right? And, yeah, there's the video now, which is really cool. It's like, hey. Look at this. Right? But without access to
Jordan Wilson [00:35:24]:
the web, it's it's just that, a
Jordan Wilson [00:35:27]:
party trick. I would never use it for anything meaningful, and I would never suggest any business businesses use it for anything meaningful. Right? The same the same way I I tell companies, you shouldn't be using Claude, you know, on the front end at least. It's different if it's on the back end because Claude's not connected to the Internet. And just about anything that you're doing with business changes literally by the second. So if you're an enterprise company saying, oh, I'm gonna give, you know, 30 30 people on my team access to Infropic Cloud. We're gonna use it on the front end. Bad idea.
Jordan Wilson [00:35:58]:
You're gonna get bad old information. The same thing was true with ChatGPT's advanced voice mode. It's like, oh, yeah. That's cool. You know, use it on your desktop and, you know, have it work along with you, but don't. Right? Because it was using old information. It didn't have the, the newest knowledge. Now it does.
Jordan Wilson [00:36:18]:
So that's one of the big updates is now the advanced voice mode does have access to ChatGPT search. They announced this middle of the week. It took about 5 days for me to get this, but couple things that you need to know that I didn't see covered and it definitely wasn't in OpenAI's demo. So it does work with both video and normal voice mode. So that new kind of neural AI agent that you can talk or not AI agent, but this new kind of a AI that you can talk to sounds superhuman, super realistic, very low latency. Right? You can cut them off. It's great. So now it has access
Jordan Wilson [00:36:53]:
to the web. However, it's not as open AI demoed. So go try it
Jordan Wilson [00:36:58]:
for yourself. Let me know. Maybe even some of our livestream audience if you're listening on your computer. Go try it out for me real quick. So now when you do this and you if you access, if you ask ChatGPT advanced voice mode, for recent information, you get the old search sounds. So what that means, in the demo, it was almost instantaneously, and it wasn't like there was this query period. But now you get this little sounds from the standard voice mode that happened when it was essentially querying the web. Right? So a little bit different than the demo.
Jordan Wilson [00:37:32]:
You get these little click sounds, and you have to wait about, you know, 2 to 4 seconds when you are asking for real time information from the web. Alright. Couple other updates, a handful of other helpful updates, from ChatGPT, including those that I just mentioned, including some major improvements to its work with apps functionality. So, yes, even in voice mode, you can now use the ChatGPT app to work with and see files that you're working on from a list of third party apps. So if you are using, as an example, you know, the ChatGPT app on Mac. Right? And maybe you're working in the terminal, or, you you know, now it integrates with some of Apple's kind of files as well is you can talk to ChatGPT, and ChatGPT can see the contents of those files from certain third party programs. So the
Jordan Wilson [00:38:24]:
combination of advanced voice mode, real time,
Jordan Wilson [00:38:29]:
and also this work with apps, a lot of nice updates from OpenAI.
Jordan Wilson [00:38:34]:
But the biggest update, I think,
Jordan Wilson [00:38:39]:
for the past
Jordan Wilson [00:38:40]:
week is the new reasoning model from OpenAI 03. Yes.
Jordan Wilson [00:38:48]:
They skipped 2. Some issues with, I I believe it was a British telecom company. So, it looks like OpenAI is going from its o one reasoning model to 03. So OpenAI has announced its new 03 reasoning model, which have generated excitement and skepticism within the AI community regarding their potential to approach artificial general intelligence. That's what this is ultimately about here, y'all. Everyone's talking. Do we have AGI yet?
Jordan Wilson [00:39:23]:
I'll say no. Alright. I'll I'll just
Jordan Wilson [00:39:25]:
keep it easy. I'll say no. But let's talk about this model a little bit. So the 03 models were introduced as a major advancement in AI with CEO Sam Altman claiming they represent a new phase in the technology. Right? Not in OpenAI's models, but in AI technology. So there is a benchmark, Arc AGI. Right? So the creator of this benchmark, and I'm gonna tell you here in a minute why this is important. The creator of the Arc AGI benchmark emphasized that while the o three models are impressive, they still struggle with a number of simple tasks indicating true AGI has not yet been achieved.
Jordan Wilson [00:40:08]:
Yeah. So, essentially, there's a lot of talk right now. You know, when OpenAI announced this, they announced the benchmarks. They announced some of the results with this Arc AGI, which is essentially, there's a prize and a test for, essentially achieving a certain score on this Arc AGI benchmark or this Arc AGI prize competition to simplify it. Right? So a lot of people are like,
Jordan Wilson [00:40:34]:
oh, we have AGI now. I don't think we do, but let's talk
Jordan Wilson [00:40:40]:
a little bit more. So the ARC prize organization, recognized the o three models as a significant step forward, highlighting their novel ability to adopt a task, which was previously unseen in the family of GPT models. So the ARC AGI benchmark assesses an AI's capacity to generalize and efficiently acquire new skills, making it a critical measure of progress toward AGI. So the o three announcement follows a period of concern in the AI community regarding what a lot of people talked about these slowing pace of advancements for large language models, particularly in light of scaling laws that predict diminishing returns on AI performance as models grow. So despite these concerns, the o three models demonstrate that there is still room for improvement in AI, potentially leading to more sophisticated chatbots and enhanced problem solving capabilities. Yeah. Also, reportedly, this new, o three model has, like, a tested IQ of, like, a 157 or something absolutely bonkers like that. Again, that's just, you know, some unofficial ramblings on the Internet.
Jordan Wilson [00:41:52]:
That's not part of a research paper or anything yet. So you might be thinking, oh, can I go get the 3 model? No. You absolutely can. So this is, again, this is one of those wait list things. It's not even really a wait list. This isn't open, to the general public yet. So the 03 models, because there's kind of a high powered one and a low powered one, You know, the same thing, kinda like a big and a mini. So the o three models are currently only accessible to approved safety researchers who are tasked with exploring their safety and security implications with no public release date confirmed.
Jordan Wilson [00:42:29]:
OpenAI's previous reasoning model, o one, was just released, or sorry, was just announced, like, 3 months ago, and the new o one pro model, was just announced and released, like, or sorry. Yeah. Like, 2 weeks ago. I've been playing with o one pro. I love it. You know, also, if you want me to run any o one pro prompts, you know, feel free to, you know, just leave them in the comments here if you're on the live stream, if you wanna see what o one pro is capable of. But, you know, pretty impressive, that now we're already seeing 03. Again, just an announcement, but it will, according to OpenAI, be rolled out to a select few safety researchers.
Jordan Wilson [00:43:14]:
And I think we're gonna see, is this 03 model, once it's out and once it has access to all of OpenAI's other tools. Right? Tool use, I believe, is, a big step in even considering if a model could be considered to achieve artificial general intelligence. So what that means is when a single model is essentially smarter and more capable to do everyday task across any domain than any smart humans. Right? And you can make the argument, and a lot of people have been making the argument earlier in 2024 that we've already achieved artificial general intelligence. I don't think we necessarily have. It just depends because the goalposts are constantly moving. If you look at definitions of AGI from 15 or 20 years ago, we've definitely achieved it. But the definitions keep changing as, the technology keeps changing.
Jordan Wilson [00:44:09]:
So I don't think, as an example, this 03, at least what we saw on Friday from, CEO Sam Altman and team, I don't think this is necessarily AGI, even though it did achieve the highest score ever on the ARC AGI, kind of benchmark there, which I think at least for now is is kind of the bar that a lot of people have set. So even though OpenAI has kind of passed this benchmark, the ARC AGI, I don't think that necessarily means that we've achieved AGI. I do think the first big step is tool use. All of these, right, whether we're talking about 01, 01 pro, 03, right, whatever. I don't think you can even start having those conversations until it has access to all of the tools. Right? You need access to advanced data analysis. You need access to be able to, you know, take in in input images and videos. Right? Because a human right? If I play a video and I put a human in an AI and say, hey, tell me what this video means, right now, the o
Jordan Wilson [00:45:16]:
one models can't do that. Some of the
Jordan Wilson [00:45:18]:
gem some of the Gemini models can. Right? But you have to look across all spectrums. You have to look across different inputs and outputs. You know, I think until we actually have that conversation and we can say, yep, we've achieved AGI. I do think these o one models, o three models need access to advance that analysis. They need to be able to, you know, accept inputs of different types, you know, PDFs, Excel sheets, different types of codes. It needs to be able to render things in real time. So, I think a lot of people are talking,
Jordan Wilson [00:45:49]:
oh, we've achieved AGI. I'll say probably not yet.
Jordan Wilson [00:45:52]:
Although, this o three model could be the one that ultimately, does it. Right? It could be the one that but we might not get access to it for 6 months, for 12 months. And it might be another, couple of months or a couple of quarters or even a year or more until these most capable o models, get access to all the other tools that I think they would actually need to say, yep. We've achieved AGI. And right now, the price on the o three high compute is bonkers. I mean, some of these tests, like single prompts were costing 1,000 of doll I mean, very difficult. But it it it in the ARC AGI, it was costing 100 of 1,000 of dollars to run it. So the costs are obviously gonna go down drastically.
Jordan Wilson [00:46:36]:
But right now, o three model looks nice, but I think right now it's just a shiny toy. Who knows if we're even gonna get access if the general public will even get access to it in 2025. Alright. That is the AI news for the week. Let me quickly recap it. So Google has unveiled Gemini 2 point o flash thinking. Meta updated its Ray Ban smart glasses for those in the early access program to have live AI video capabilities. Salesforce, announced Agent Force 2 point o, which will launch in February 2025.
Jordan Wilson [00:47:12]:
NVIDIA has launched the $249 Jetson Orin Nano, which I think is really gonna change Edge AI. Google unveiled VO 2 way better than Sora, but when will we get access? Who knows? Anthropic, released some new research that said AI models are can be pretty deceptive through alignment faking. Google Search is reportedly introducing an AI mode to compete with ChatGPT ChatGPT search and other AI search. OpenAI rolled out a ton of other updates. A lot of them, I think, in advanced voice mode and g ChatGPT search. And then OpenAI unveiled the new o three reasoning models, which I don't think most
Jordan Wilson [00:47:52]:
of us are gonna get access to anytime soon. Alright. That was
Jordan Wilson [00:47:57]:
a lot. Maybe you were on the treadmill and you missed a thing or 2. You can always go to our website at your everydayai.com, and sign up for the newsletter. We'll be recapping all of these stories as well as everything else you need, to stay up to date. If you're listening on the podcast, thank you. Please subscribe, to the show. Tell your friends. Leave us a rating.
Jordan Wilson [00:48:17]:
We'd really appreciate it. If you're joining us live, on LinkedIn, Twitter, YouTube, whatever, share this with your friends, please. People are always like, hey, Jordan. This has been so helpful. How can I help? Tell someone about it. Right? I know this might be your big secret on how you're the smartest person in AI at your company, but we'd appreciate you sharing the love. That's why we do this every single day. We keep it free, accessible because AI is tough to keep up with.
Jordan Wilson [00:48:38]:
That's why we do this thing. Also, we're gonna take a little break. Alright. So, if you're a normal newsletter, newsletter reader, newsletters going out today, but Tuesday through Friday, we're putting a little pause. It's been an exhausting last couple of weeks, but we will be back, next week with the newsletter. Thank you for tuning in. Hope to see you back tomorrow. Well, later next week
Jordan Wilson [00:49:04]:
and every day after that for more everyday AI. Thanks y'all.