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AI Industry News: Strategic Priorities and Tangible Shifts for Business Leaders
In the latest episode of the Everyday AI podcast, a dense slate of AI advancements took center stage, spotlighting areas like AI hardware prototyping, U.S. government investments in AI research, model releases impacting software development, and the migration of advertising into conversational AI. These developments carry significant, direct implications for organizations aiming to optimize operations, sharpen competitive advantages, and plan for near-future disruption. This article details the pinpointed insights and strategic value demonstrated in the episode, offering a focused briefing for decision-makers.
AI Hardware Innovation: OpenAI’s Prototype Signals New Consumer Interfaces
Main Keyword: AI Hardware
OpenAI has completed its first AI hardware prototypes, described by CEO Sam Altman as “jaw dropping good” and distinct from smartphones or laptops. The hardware, fostered by former Apple design chief Jony Ive and built with Apple’s primary supplier Foxconn, is rumored to be a “third device”—possibly a small, pocketable module engineered for persistent environment awareness and prioritized notifications.
The palpable business value lies in two areas:
Shift in User Interaction: The prototype is designed to filter distractions and only deliver essential alerts, potentially integrating deeply with users’ daily routines and business workflows.
Data and Personalization Trade-Offs: With the promise to eventually "know everything you’ve ever thought about, read, and/or said," privacy implications are profound. Organizations must assess the risks in adopting such a device, especially with sensitive communications or IP.
This move from OpenAI indicates a strategic push to not only lead in software but also shape hardware ecosystems—potentially redefining workplace productivity hardware and posing competitive pressure for incumbents such as Apple, which has delayed major AI device launches until at least 2026.
U.S. Government Genesis Mission: AI as a National Resource
Main Keyword: AI Federal Investment
The U.S. government’s creation of the “Genesis mission” marks a pivotal moment in federal AI strategy. This executive order directs the Department of Energy and its 17 national labs to centralize AI infrastructure, linking supercomputers across the public sector. The mission’s aim: cut scientific discovery timelines in health, energy, and engineering from years to days or hours.
Key business takeaways:
Federally Supported AI Research: Initiatives like this will influence commercial partnerships, as the White House indicates interest from NVIDIA and Dell in supplying government supercomputing capacity.
Sovereign AI as Strategic Asset: The federal view is shifting toward treating AI resources similarly to oil or gold, with critical national importance. Organizations contracting with government agencies, or those in regulated sectors, will need to understand and possibly adapt to new partnership models or compliance standards.
Potential for Technology Transfer: Speeding up research cycles in AI through public-private collaboration may result in earlier access to scientific advancements for enterprise adopters.
Claude Opus 4.5 Release: Cost-Efficient Enterprise Performance
Main Keyword: Enterprise AI Models
Anthropic’s launch of Claude Opus 4.5 surfaced during the wave of major AI model rollouts from competitors like OpenAI and Google. What distinguishes this release:
Real-World Engineering Proficiency: Claude Opus 4.5 achieved an 80.9% accuracy rate on “Sweebench verified,” surpassing OpenAI’s GPT-5.1 Codex Max and Google Gemini 3 Pro specifically in software engineering tasks.
Significant Cost Reduction: Inputs now cost $5 per million tokens; outputs, $25 per million—dramatically lower than previous models. This presents clear cost savings for enterprises deploying large-scale, AI-driven workflows.
Customizable Computational Effort: The new API feature “effort parameter” gives businesses direct control over balancing computational speed, quality, and cost.
Early feedback points to efficiency improvements in internal documentation processing, workflow automation, and advanced summarization—especially valuable for technical and financial teams working in high-volume data environments.
ChatGPT Ads and Shopping Tools: Advertising and Affiliate Revenue in Conversational AI
Main Keyword: AI Monetization
OpenAI is testing ads inside ChatGPT for free-tier users, as confirmed by code references in the Android beta version. The system is being designed to show in-app product placements and carousel-based “sponsored products and deals,” with further plans for direct in-chat purchases from partnering merchants.
For business leaders, this signals tangible models for AI monetization:
User Data Utilization: Conversational AI holds deeper, more personal user contexts than traditional search or social media platforms, raising both opportunity and ethical scrutiny for advertisers.
Affiliate and Commission Revenue: Organizations leveraging OpenAI’s platform—especially commerce-driven enterprises—should anticipate and prepare for new in-chat sales and advertising models, potentially shifting ad budgets away from legacy search and display ecosystems.
Shopping Research Assistant: OpenAI’s rollout of a new ChatGPT shopping workflow (using a fine-tuned GPT-4.5 model) introduces frictionless buyer assistance. While initial reviews suggest uneven performance, the path for product and price discovery entirely within AI chat agents is rapidly maturing.
NVIDIA’s Response to Custom AI Chips: Maintaining Market Leadership
Main Keyword: AI Chip Competition
NVIDIA responded publicly to concerns raised by Meta’s possible adoption of Google’s in-house TPUs, reiterating that its GPUs maintain a technological lead and are essential for most AI model use cases. While Google’s TPUs draw attention for inference workloads, NVIDIA still dominates the market (over 90% market share) and emphasized its chips’ flexibility and ecosystem reach.
For organizations planning infrastructure investments:
Cloud Flexibility vs. Custom Hardware: Market competition between NVIDIA’s general-purpose GPUs and customized chips like Google’s TPUs means enterprises must re-evaluate total cost of ownership, vendor lock-in, and future scalability.
Cloud Provider Partnerships: With Amazon investing $50 billion to expand AWS cloud infrastructure for federal agencies, and companies like Google and Oracle growing their AI cloud services, partner selection for scalable AI workloads is more critical.
Conclusion: AI Developments to Watch for Proactive Business Planning
This week’s advancements go far beyond hype—each signals material shifts in how AI will be used, monetized, and regulated in the near term. From the implications of OpenAI’s hardware prototype and Claude’s cost-efficient engineering capabilities, to the U.S. government’s ramped-up AI investments and the mainstreaming of ads in AI chat interfaces, decision-makers now have concrete developments to assess as part of strategic planning.
Organizations should closely evaluate the broader impact of these developments on workforce automation, infrastructure procurement, technology partnerships, privacy policies, and go-to-market channels. The pace of AI advancement continues to demand rapid and informed responses from the business community.
Topics Covered in This Episode:
- OpenAI Unveils Jaw Dropping AI Hardware
- OpenAI’s Consumer Device vs. Apple Plans
- US Government Launches Genesis AI Mission
- Federal Supercomputing AI Platform Initiative
- NVIDIA Defends AI Chip Market Leadership
- Meta Eyes Google TPU Data Center Switch
- OpenAI Rolls Out ChatGPT Shopping Assistant
- ChatGPT Shopping Feature Uses GPT 5.1 Mini
- Amazon $50B AI Cloud Infrastructure Expansion
- Claude Opus 4.5: Anthropic’s Latest Model
- Claude Opus 4.5 Coding Benchmark Results
- AI Model Cost and API Improvements
- OpenAI Prepares ChatGPT Ads for Free Users
- ChatGPT Ad Monetization Strategy and Leak
- Google Gemini 3 Pro vs. OpenAI Models
Episode Transcript
Midroll [00:00:00]:
This is the Everyday AI Show, the everyday podcast where we simplify AI and bring its power to your fingertips. Listen daily for practical advice to boost your career, business, and everyday life.
Jordan Wilson [00:00:15]:
A week after OpenAI, Grok, and Google all released their most powerful AI models to date, Anthropic followed suit with Claude Opus 4.5. But that might not even be the biggest AI news of the week. That's because OpenAI was busy making headlines on AI hardware and potentially ads in chat GPT, while even the federal government is throwing its hat in the ring on trying to create AI breakthroughs. So maybe you were in a little bit of a turkey coma this week, over the Thanksgiving holiday, and you missed some of these AI news headlines. Don't worry. I'm gonna be getting you caught up today on everyday AI. What's going on y'all? Welcome to everyday AI. My name is Sean Molson, and this is your daily livestream podcast and free daily newsletter helping everyday business leaders like you and me not just keep up with these AI news headlines, but how we can make sense of them and use this information to grow our companies and our careers.
Jordan Wilson [00:01:14]:
So if that's what you're trying to do, awesome. It starts here with the unedited, unscripted livestream podcast. But to take it to the next level, make sure you go to your everydayai.com. Go sign up for today's free daily newsletter. We're gonna be not just recapping, today's show going over the AI news, but, keeping you up to date with everything else that's happening today. So if you are brand new here, maybe listening for the first time, most Mondays, we do this AI news that matters segment. So you don't have to waste hours every single day, trying to play with new tools or trying to see, you know, who dropped what model. That's what we do.
Jordan Wilson [00:01:51]:
So join us on Mondays as we bring you the AI news that matters. Most Tuesdays, we do hot take Tuesday. Wednesday, we do AI work on Wednesdays, kind of a hand on, hands on kind of demo. And then usually Thursday and Fridays, we do interviews. So let's get into the big AI news that matters this week. If I sound a little hoarse, it's because I am feeling a little bit under the weather. But AI news doesn't take a day off and, well, I guess I don't either. Alright.
Jordan Wilson [00:02:17]:
First, hardware? OpenAI? Yeah. So OpenAI CEO Sam Altman says OpenAI is finally finished its first AI hardware prototypes and called them jaw dropping good in a discussion hosted by Emerson Collective and reported by CNBC. So, reportedly, the new AI prototypes from OpenAI are the first big step since OpenAI bought, Johnny Ives' startup, I owe, for $6,400,000,000 in equity back in May, signaling OpenAI's serious push into AI powered consumer devices. Altman would not say what the actual device is, just that it was jaw dropping good, but said it aims for a calmer experience than smartphones, comparing phones to walking through noisy Times Square in his vision to quietly sitting in a cabin by lake. Altman said the device would look over long periods, filter out distractions, and only notified users what really matters, potentially knowing everything you've ever thought about, read, and or said, which obviously raises a lot of, personalization and privacy trade offs and, well, maybe more on, some of this data collection here later in the show. So Johnny Ives, the former Apple design chief, is now leading the hardware push for OpenAI, said he expects the device to be revealed within two years while warning the hardware development is unpredictable. So according to reports, the project is being watched closely because a successful OpenAI device could pressure Apple, which has delayed major Siri upgrades to 2026 and has yet to launch an AI focused, device design. OpenAI also, recently announced a deal with Foxconn, which is Apple's major, hardware supplier to build AI infrastructure in The US, which deepens its hardware ties.
Jordan Wilson [00:04:16]:
So, it's gonna be interesting what this device is. A lot of people said it's it's, you know, calling it a third device. So it's not a phone. It's not a laptop. A lot of people have speculated that it's more of a, you know, small puck, type thing that you would put into your pocket, and it would just, hear everything that goes on. What's interesting here, is kind of this, nod to also anything you've ever thought about. Right? So, obviously, I don't think most people are assuming that this is a a Neuralink type device, but that's interesting. So maybe it's just something a small thing that you would put in your pocket and, you know, kind of records every single conversation that goes on maybe, which would obviously have a lot of privacy implications, or something that you could just, you know, talk to at any time.
Jordan Wilson [00:05:06]:
Right? So almost like a chat GPT, in your pocket, but you can just, you know, talk through problems of your day, etcetera, save, you know, to dos for later. Not sure. But regardless, we've covered on the show a lot over the past couple of weeks. The amount of hires that OpenAI specifically, has, kind of swiped away from Apple. Reports have said dozens of Apple AI hardware leaders have left Apple and have joined OpenAI. So, regardless, it's whatever it is, it's either gonna be, I think, a huge hit or a huge flop. Right? OpenAI obviously has, fundamentally changed the way that the everyday person interacts with technology because of chat GBT and large language models. So I would assume that OpenAI is going for a big swing here, with whatever their AI hardware device is.
Jordan Wilson [00:06:04]:
Speaking of big swings, the federal government is making one. So US president Donald Trump has signed a new executive order creating the Genesis mission, a large scale federal push, from The US to use AI and supercomputers specifically to speed up scientific discovery. So this new initiative directs the Department of Energy in its 17 national labs to build an integrated AI platform that connects their current and future supercomputers aiming to cut research timelines in areas like health, energy, and engineering from years to days or maybe even hours. So this new centralized AI platform is designed to analyze massive federal university and private private sector datasets into automate tasks like experiment design, advanced simulations, and predictive modeling. So, the administration says the most visible impacts could come in health care where faster AI driven research could help develop new therapies for serious diseases that are currently often fatal, potentially changing treatment options within the next five years. The White House says private companies including NVIDIA and Dell have already shown interest in contributing AI supercomputing capacity, indicating that this mission could further tighten the link between government labs and leading tech firms. Yeah. We've already seen that line start to blur, a little bit, even with the, the US government taking a, equity share, in a public tech company, the first time I believe that's ever happened.
Jordan Wilson [00:07:40]:
So another kind of intersection here. But, you know, when when I read this, last week and we shared about it in our newsletter, I was kind of scratching my head. I was like, okay. This is good, but why had this not even existed, before? Right? And maybe it's because, you you know, The US doesn't really have a kind of large AI presence, presence across different branches of government. So maybe this is looking at using the Department of Energy specifically, Well, because for, AI, compute, and infrastructure, well, you need energy. So it should, I think, it sorry. It it should it shouldn't go without saying that this is extremely, important for, The US. Right? So, we're gonna be talking about this, probably next month when we go over our 2026 AI prediction and road map series.
Jordan Wilson [00:08:35]:
However, Sovereign AI is going to be definitely at the top of most people's lists as you look at 2026, in what's happening in AI. And, what that essentially equates to is, well, governments specifically, looking at AI as more than a technology, and really as a natural resource. And probably one of the most important, kind of resources that any country could have in the same way that, you know, they might view, oil or gold, or even their military. I think the a I think AI, is probably going to meet or exceed that for most countries in 2026. So I'd say this is a pretty good move and a good first step, from The US in this Genesys mission, to kind of centralize, AI compute and information sharing across different branches of government. Alright. NVIDIA taking shots. Yeah.
Jordan Wilson [00:09:33]:
Didn't see this coming. So NVIDIA making headlines this week as it went out of its way to say that its AI technology is still a generation ahead of the industry pushing back on fears that Google's in house AI chips could chip away at NVIDIA's dominance. So, yeah, this, statement that they put out online, which a lot of people were scratching their heads about, followed a roughly 3% drop in NVIDIA's share price on Tuesday after reports that Meta may use Google's TPUs or tensor processing units in its data centers instead of relying, solely on NVIDIA's GPUs. So in a post on Twitter or x as some people call it, but I refuse to, NVIDIA said that it is quote, unquote, delighted by Google's success and noted that it continues to supply chips to Google while also arguing its platform is the only one that can run all major AI models everywhere computing is done. So, yeah, NVIDIA essentially has contrasted its GPUs with specialized chips like Google's TPUs claiming their GPUs off, offer better performance and flexibility because they can run many types of AI workloads, workloads for many customers, not just a single company or function. Whereas a lot of companies now are looking at Google's TPUs for inference, right, where I think, with NVIDIA, they still have an absolute stranglehold, on, using GPUs for training. So analysts estimate that NVIDIA still controls more than 90% of the AI chip market, but Google's TPUs are drawing fresh attention as an alternative, especially as NVIDIA's newest Blackwell GPUs are both extremely powerful and very expensive. So Google does not yet sell its TPUs directly.
Jordan Wilson [00:11:33]:
Instead, it uses them internally and rents TPU capacity to to customers through Google Cloud, giving companies another way to run large AI models without buying their own hardware. And this obviously comes not just the, the meta news reportedly, entering into a partnership to use Google's TPUs, but this also comes right after Google launched its very successful and extremely capable Gemini, three AI model. So, essentially, there's been a lot of, industry hype and I would say it's well deserved, around not just Google's, AI models in Gemini three, but also how they've been able to train their models with TPUs. So, NVIDIA took a rare step, this week and literally just putting out a tweet that was like, alright. We see you Google, but we're still far ahead of everyone. So pretty pretty interesting, kind of PR or comms move there from NVIDIA.
Jordan Wilson [00:13:44]:
Alright. Speaking of interesting moves, maybe another one we didn't see coming, but could save you a little bit of time. So OpenAI has announced and has already rolled out a new shopping research feature in ChatGPT that turns any shopping related question into a guided product finding session. So the feature is available on all chat g p t plans, both free and paid and mobile and web with what OpenAI says is nearly unlimited usage during the holiday shopping season, making it likely to reach a very large audience quickly. So as an example, if you ask, Chattoporte what's the best TV in bright lighting, Chattoporte now responds with normal text, but then adds a button offering to do additional research, which starts a more structured personal shopper style experience. Or if you've used deep research before, with OpenAI and inside ChargeGPD, it's kinda like a slightly fast faster but more interactive version of that. So the new shopping flow ask follow-up questions about budget, intended use in this example, and specific features, which working much like filtering menus on major retail sites, but inside of a chat instead of a web form, which could save time for busy shoppers. OpenAI says the new system is powered by a version of GPT five minutei tuned specifically for shopping tasks.
Jordan Wilson [00:15:14]:
Using quality sources across the Internet to surface product details such as current prices, availability, reviews, text facts, and images. The company does warn that shopping research can still make mistakes on key details like price and stock levels and urges users well to be the human in the loop. Products shown in ChatGPT can be purchased on external retailers sites and OpenAI does plan to add an instant checkout feature so that users can buy certain items directly inside of ChatGPT from participating merchants, which could further obviously blur the line between search advice and purchasing or ads when and if technically OpenAI does roll out those ads. So I did use this a little bit over the weekend, and I was kind of lukewarm on it. I don't know. I think using a the GPT five one mini. Right? Even comparing. Right? I did a quick comparison of a, kind of a shopping style or shopping related query using normal deep research, which presumably uses, the GPT five one thinking.
Jordan Wilson [00:16:23]:
And then using this kind of new, shopping research assistant, which uses GPT five one error, a version of GPT five one minutei. And the GPT five one minutei, at least in my very limited testing, let me say that with a huge grain of salt, it was bad. Right? Again, compared to using, Google's or or sorry. Compared to using OpenAI's deep research, which deep research is extremely, extremely good or even using, a similarly did just did a normal query using GPT five one thinking, you know, and juice the thinking up a little bit. So, I don't know. Maybe for free users, there might be some utility in this. Obviously, I think this is, in the long run is a way for OpenAI to monetize through affiliate partnerships, especially when they start bringing more of these, purchase options available in app. Right? I think that's ultimately where, you know, OpenAI is probably gonna be making much more money on the commission or affiliate side.
Jordan Wilson [00:17:22]:
I don't know. But first impressions for me in very limited testing, you know, what I did is I, asked what, you know, Black Friday deals, there were for different AI softwares. Right? And the shopping version came back with a bunch of irrelevant things. It was trying to sell me, like, prompt packs. Right? So it did a very poor job. But, you know, doing it obviously in the normal deep research or using, GPT five one thinking gave me much better results. So I don't know. Maybe for free users, this could help, you know, if you're asking more about specific products.
Jordan Wilson [00:17:59]:
But for me, probably not gonna be using it anytime soon. Alright. Next, Amazon will invest up to $50,000,000,000 to expand AI and super supercomputing infrastructure for US government customers on AWS according to, well, Amazon. So this is one of the largest ever public sector cloud commitments to date and shows how central secure AI computing has become to both big tech and federal agencies. So starting in 2026, the project will add nearly 1.3 gigawatts of AI in high performance computing capacity across AWS top secret, AWS secret, and AWS, gov cloud regions. So, well, if you're like me and you're like, what the heck is a gigawatt? Well, you know, so this project will add 1.3 gigawatts. So one gigawatt of power can support about 750,000 US households. Meaning, this expansion represents the rough equivalent of the power demands of close to a million homes focused on government AI workloads.
Jordan Wilson [00:19:09]:
So, federal agencies, through this partnership will get access to AWS services, such as Amazon SageMaker for training and customizing models, Amazon Bedrock for deploying models and AI agents, and foundation models including Amazon's own Nova and anthropic Claude. So AWS's CEO, Matt Garman, said the initiative aims to remove tech barriers that have held governments back, potentially enabling more automation, efficiency, and cost savings in how agencies operate. So analyst notes that while Amazon still leads the cloud market, its lead is pretty slim, especially with AI related cloud growth from rivals like Google and Oracle. Also, this investment reflects the broader AI race between The United States and China as Washington seeks to expands, expand its AI compute capacity to maintain a strategic edge. Alright. Mentioned Claude in there, and that is our next piece of AI news. So Anthropic kind of just low key released a pretty big model. So Anthropic released its most advanced AI model, Claude Opus 4.5, this week, which scored higher, and this one's pretty noteworthy than any human candidate that they've ever had on their own, internal tough engineering assessment.
Jordan Wilson [00:20:42]:
So the new model also comes at a much reduced cost compared to even, SONNET 4.5 or Opus 4.1. So quad Opus 4.5 is priced at $5 per million input tokens and $25 per million output tokens. A dramatic reduction from previous rates and a move expected to pressure competitors on both cost and performance. Benchmarks, really good. So, Opus 4.5 achieved an 80.9% accuracy on Sweebench verified, outperforming OpenAI's GPT five one codex max and Google, Google Gemini's, Gemini three pro in real world software engineering tests. So early testers report the model demonstrates improved judgment and intuition, handling complex workflows, and producing coherent summaries from internal documents and Slack channels. Efficiency gains also significant. So Opus 4.5 matches or exceeds prior models performance while using up to 76% fewer output tokens, helping enterprise cut costs and speed up development.
Jordan Wilson [00:21:57]:
Anthropic for developers on the API side also introduced an effort parameter that lets users adjust the models computational intensity, balancing speed, cost and output for different tasks. So, obviously, dropped some of the API information there. We did on Wednesday of last week, episode six sixty two, if you wanna go check that out. We gave kind of our, you know, non dev, nontechnical review of, Claude Opus 4.5. Very topical, by the way. Right? I don't know. For me, wasn't super impressed. It could've just been, you know, tested it a little bit too early.
Jordan Wilson [00:22:39]:
Most of the little demos that we ran were super buggy. However, I do expect most of that, to, improve. And I do think that, you you know, I think what happened, right, if I'm just, taking a look at the landscape. Right? You have your four big competitors that I always talk about. Right? You have Microsoft Copilot. You have Google Gemini. You have, OpenAI's Chat GPT and then Anthropics Cloud. Right? So right now, at least Microsoft is not really focusing on their own models, mainly using OpenAI and a little bit of anthropic, in their across their Copilot suite.
Jordan Wilson [00:23:15]:
So you really have three frontier, AI building companies. Right? Sorry. No one uses, Grox, xAI. Right? No one uses that. Mistral's great. There's other great models, but for the most part, it's it's a three model race. Right? It's anthropic, Google and OpenAI. I think OpenAI's base model, the new 5.1 update, at least for me and a lot of others, it's really annoying to talk to now.
Jordan Wilson [00:23:41]:
Right? It's it's it's overly verbose. It's just too too chatty, right? I think they were trying to kind of appease the people who were upset at GBT four o going away. So I think Gemini three pro came in as a, you know, great daily driver. Even for me personally, I'll probably still use Gemini three Pro as a daily driver, but use, GBT 5.1, Pro, for, you know, kind of the heavier lifting. But Opus 4.5, again, didn't do great in our, live demos. But I think for anything coding, software development, anything on the financial side, they have a new, improved integration with Excel. I think, Opus 4.5 for specialty use cases is always going to have, its case for me, not so much for a lot of, I think teams and companies, not so much. But if you are software dev, if you're in finance, if you're in Excel all day, I think Claude, Opus 4.5 is still gonna be a model that you have to look at.
Jordan Wilson [00:24:47]:
Alright. In our last big AI news story of the week, yeah, ads are apparently coming to chat GPT maybe sooner than a lot of people thought. And going back to our first AI news story, right, talking about, an AI hardware device that will just, you know, see and hear and understand everything that happens in your life. Oh, that's some valuable data. Right? Okay. Well, where's the how does OpenAI monetize that? Well, here you go. Ads. So OpenAI is reportedly, rolling out a new, way for users to see ads.
Jordan Wilson [00:25:28]:
So OpenAI's ChatGPT app appears set to introduce ads for free users at least based on a new code reference found in OpenAI's Android beta version by AI PRM engineer, Tibor Blaho. So, yeah, essentially, this was a code leak found in the newest version, of OpenAI's Android beta. And the code mentions include different features to ads, including ads features, bizarre content in search ads carousel signaling a shift toward in app advertising. So this marks a major change. Well, if and when this happens, we'll mark a major change for OpenAI and Chat GPT, which has previously focused on paid subscriptions and API access for revenue. The move comes as OpenAI faces financial pressure. Forbes reports the company needs an additional $207,000,000,000, to fund its growth and is not expected to be profitable until 2030 according to HSBC. So CEO Sam Altman recently acknowledged on a podcast that advertising is being considered, citing Instagram ads as an example he personally finds effective.
Jordan Wilson [00:26:48]:
Also, you gotta talk to sheer numbers. Chatt GPT currently boasts around 800,000,000 weekly active users, making it, well, one of the biggest online platforms in the world. And out of all of them, really the only one that isn't, running ads. Right? Any of those, biggest website in the world, they're they're almost all, monetizing on free users in one way, shape, or form. So if implemented, users of the free version of ChatGPT could start seeing sponsored products in deals similar to ads that you might see on Google or Instagram. Also, we did cover in our newsletter, Google is also starting to test, ads in its AI results. We've already seen that with Microsoft, so nothing new there. But it's kind of been this hot topic, with OpenAI and when and if the, you know, the leading, AI company would do something like that.
Jordan Wilson [00:27:50]:
And I think that there's a big conversation to be had around this. Mainly, when you're using something like Google or even on, you know, Meta's platforms like Facebook or Instagram, I think you're only giving those platforms so much. In the case of Google, as an example, you're putting in search terms. You know, for, Facebook, you know, maybe you're, you know, entering your interests, on a Facebook profile or you're liking or commenting on certain type of content so Meta can start to connect the dots there. Right? A large language model, specifically something like ChatGPT that many people, I will say this, unfortunately, use as a therapist because I don't think that's a good idea. But that's one of the biggest use cases for ChatGPT is using it as a therapist, as a life coach, you know, as a mentor, as a friend. Right? So obviously, people are revealing so much more about themselves that they would never reveal, you know, to Google or puts, you know, that kind of information, inside of a social network that Meta might own. So the the ceiling for advertising is obviously huge just from a strictly financial perspective.
Jordan Wilson [00:29:02]:
Right? Obviously, Google has, been the leader, in advertising for decades, Meta as well, right, for at least ten plus years. So, we did do an entire episode, last month. Actually, no. Sorry. It was the October. So just over a month ago. So go back and listen to that. It's episode six forty one, ChatGPT ads, nine reasons why personalized ads are coming to ChatGPT soon.
Jordan Wilson [00:29:30]:
I laid out right before any of this reporting. I laid out the case, pretty cut and dry. Right? It's saying, hey. Yeah. Ads are coming. Here's why. Here's what they're gonna look like, and here's how this will change business. So if you are interested in that, make sure to go listen to episode six forty one.
Jordan Wilson [00:29:47]:
Alright. That is a wrap for the big AI news stories. Now let's get over kind of our bullet point roundup section. You know, not everything was a top AI news story of the week. There were some smaller features and some rumors and rumblings of what's around the corner. So let's kind of round up what's new and what's next. So ChatGPT updated their live voice mode for a more interactive experience. Pretty cool.
Jordan Wilson [00:30:14]:
I used it a couple times. I like it. Google rolled out Remix in photos, which uses nano banana to remix images. Google also rolled out interactive images in Gemini, which looks really cool. Black Forest Labs released Flux point two. I think it's just flux two actually. It might I think it might be a top image model, along with Nana Banana Pro once all the benchmarks are in. Perplexity with a pretty big under the radar update.
Jordan Wilson [00:30:42]:
They rolled out memory capabilities for its Comet browser, putting it more in line with, Chachibuty's Atlas. Chachibuty may be rolling out a new, faster style driven, version of their ImageGen called ImageGen v two, which could also include cameo style features like what's made their Sora, app and their Sora AI video generator extremely popular, being able to kind of do these cameos of your friends or people public, public figures. So that may be rolling out, in the image gen. So OpenAI try to keep pace, with Google's nano banana there. In Frophic, aside from Opus 4.5, they expanded access for cloud code desktop, Claude for Excel, and Claude for Chrome. Google may be linking notebook l m notebooks directly in Gemini. That'll be great. Something that I've been asking for for more than a year.
Jordan Wilson [00:31:39]:
DeepSeek released, a new model called DeepSeek Math v two that achieved gold level performance on the IMO. So, pretty, rare company they're in. I believe just with OpenAI and Google that have achieved the same with large language models. Also, Google is working on revamping the user interface in Gemini, which could be a big move for them to continue to compete, with, Chantee Poteet on the consumer side. Amazon is, I believe, starting today hosting their reinvent conference. So there may be some AI announcements coming soon. Meta is reportedly weighing using Google's TPUs, which we already referenced earlier. And OpenAI is previewing an app store like experience for chat GPT apps.
Jordan Wilson [00:32:32]:
Alright. That was a ton of AI news. I hope this show was helpful. Sorry. I'm a little hoarse. Hopefully, I'll be feeling better soon. So if you haven't already, please share this with someone. Right? Don't let everyday AI be your little cheat code.
Jordan Wilson [00:32:50]:
If you're listening on the podcast, appreciate your support as always. Please, if you could, do me a little favor. It takes five seconds. Go ahead and click like or subscribe, right, depending on if you're listening, on Apple Podcasts or on Spotify. And if you could leave us a rating, we'd really appreciate that. Then go to our website, youreverydayai.com. We're gonna be recapping everything we talked about today and everything else that's happening in the AI world because there's always a ton. So thank you for tuning in.
Jordan Wilson [00:33:18]:
Hope to see you back tomorrow and everyday for more everyday AI. Thanks, y'all.