so there's been some really interesting storylines and developments in the world of AI this week. In this video, I'm going to break them all down and loop you [Music] in. Before I really get into it, I want to take a moment to really appreciate how far AI-generated images have come. So, this image that we're looking at on the screen right now, this was generated with Flux, which is an AI image generation model that I made a video about earlier this week. But the way it can make humans is just mind-blowing. I mean, the only really obvious giveaways in this one is if you look at his lanyard here, the text just looks like gibberish. And then, I think this is supposed to be a microphone right here, but it looks a little off. But if you're just looking at the guy's face and you're looking at the hands and you're looking at the shirt, it looks really, really good. Here's another image from the same Reddit thread, and if we look at this one, I mean, same thing. It

is really really difficult to tell that it's AI now. If we zoom in really close like I am, you can tell maybe there's a little weirdness going on with the teeth, especially on the right side where the teeth get a little bigger. Then if we zoom in on the microphone, it looks just kind of like gibberish around the top of the microphone. But other than that, I mean, the Google logo is there, the lanyard. It's kind of hidden by our hand so you can't see it. But dang, AI imagery has come so far. But it's gotten to a point where most people are not going to be able to tell what was AI-generated and what wasn't. We can only tell right now because I'm zooming in super close and looking for little giveaways. Anyway, this is from a Reddit thread over on the stable diffusion subreddit. They did follow a very specific process to actually get these images to look this way and look so real. But they do break it down in this Reddit thread so I'll

make sure it's linked below if you want to try to create images that are this realistic. All right, now let's talk about OpenAI. We're probably going to spend a few minutes talking about OpenAI today 'cause there's been a lot of weird stuff happening there, starting with probably the most intriguing thing that's come out of OpenAI this week. And that's that Sam Altman posted this random image on his Twitter account that just says, I love summer in the garden, and it has pictures of his strawberries. Now, if you're not familiar, or maybe you didn't see some of the older videos where I was talking about what this is in reference to, OpenAI supposedly had this model called QAR that was really, really good at reasoning. There were suspicions that that's what Ilia saw when the board tried to oust Altman, and there were claims that this QAR model was just too powerful, too scary to unleash into the world. Supposedly, that QAR model has been rebranded as Strawberry, so now

internally over at OpenAI, they refer to this more advanced, better reasoning model as the strawberry model. So, this post here by Sam is essentially Sam just kind of trolling the people paying attention to OpenAI, acting as if something huge is coming related to Strawberry. At least, that's the way most people are interpreting it. These seemingly are genuine strawberries from his garden, and he might have just wanted to post a picture of his strawberries 'cause he was proud of them. But a lot of people are reading a lot more into this. There's also this Twitter account here that has a lot of people baffled. So, the Twitter username is IR rule theorm Mo, but the actual written-out username is just three strawberry emojis. And this Twitter account grew insanely fast. I mean, a couple of weeks ago, I think it was like under 1,000 followers, and just since all of this strawberry weirdness has started popping up again, they've jumped up to over 13,000 followers. And if you look through their feed, it's pretty much just a nonstop feed of

strange trolling memes about strawberries. See you in a while, Travelers. I'll be back. Strawberry chess boards, strawberry Matrix images, just lots and lots of random memes and troll posts about strawberries. One thing to note is that they do write in all lowercase, which is something that Sam Altman is sort of known for on his Twitter account, which has led to rumors that maybe this is Sam Altman's alternate account. There's also been a lot of rumors that this is just a bot and that maybe OpenAI or Sam Altman or somebody created a Twitter bot that just continually posts memes and random stuff about strawberries and retweets anything related to AI and strawberries and Sam Altman. My personal guess is it's probably just somebody with a little bit too much time on their hands trying to just stir things up, and it seems to be working. One interesting thing is that Sam Altman himself actually appears to be paying attention to this account. Welcome to level two. How do you feel? Did I make you feel? And then Sam says, Amazing to be.

honest again my guest, somebody with a lot of time on their hands, just screwing around with Twitter, trying to see how quickly they can hype things up and get excitement going. But I kind of secretly hope that it's some sort of AI bot created by OpenAI to build additional hype around what they're launching next. I'm fairly confident that's not the case, but I also kind of want to be wrong. Moving on, there's been a lot of other really interesting news and storylines coming out of OpenAI. I actually made a whole dedicated video about all the sort of drama unfolding over at OpenAI right now. John Schan, one of the co-founders over at OpenAI, actually left to go join Anthropic this week. Peter Deng, a product manager over at OpenAI, also left. And Greg Brockman is going on an extended vacation, essentially. He's going on sabbatical and said that he's stepping away from OpenAI until the end of the year, leaving a lot of people to believe

that he's also just ditching and moving on from OpenAI. I don't get that impression. There's been a lot of pressure, a lot of stress, a lot of drama, a lot of things that have happened over at OpenAI recently. So, I genuinely think he's just stepping back to chill out and sort of get out of that mix for a little bit. But a lot of people are speculating that he's gone as well on the ETH. He posted this, which also leaves me to believe that he is planning on coming back. He says, A surprisingly hard part of my break is beginning the FOMO for everything happening at OpenAI right now. Lots of results cooking. I've poured my life for the past 9 years into OpenAI, including the entirety of my marriage. Work is important to me, but so is life. I feel okay taking this time in part because our research, safety, and product progress is so strong. I'm super grateful for the team we've built and its unprecedented talent density, and proud of our progress. Looking forward to

completing our mission together. All indications point to he's stepping away but planning on coming back. There's a lot more to the OpenAI drama that's happening right now, but I broke it down in this video here called OpenAI Seems Like It's Imploding. So check that video out if you want all of the details and sort of my thoughts and opinions on what's going on at OpenAI right now. But in other news that wasn't part of that video, OpenAI got a new board member this week named Ziko Couter. Ziko is a professor and director of the machine learning department at Carnegie Mellon University, and they're predominantly focused on AI safety, alignment, and the robustness of machine learning classifiers. We've seen a lot of storylines lately of people claiming that OpenAI isn't taking safety and alignment seriously. Yan LeCun wrote up a big X post about how he doesn't think they're taking safety seriously. OpenAI disbanded their safety and alignment team. It sounds like they are actually

taking it fairly seriously by bringing on board members that is their main focus, but not only that. They put out this week called the GPT 40 System card. We can see here it says this report outlines the safety work carried out prior to releasing GPT 40, including external red teaming, Frontier risk evaluations according to our preparedness framework, and an overview of the mitigations we built in to address key risk areas. Now, this is a very long write-up here, but basically, it goes into all of the details and all of the ways that they are focused on safety and alignment here. They even gave themselves a little bit of a scorecard here. They feel like when it comes to cybersecurity, it seems to be low risk. Biological threats, low risk. Persuasion threats, medium risk. And model autonomy is a low risk. They say that only models with a post-mitigation score of medium or below can be deployed, and only models with a score of high or lower can be developed further. So, if something comes

Back at a critical score, apparently they'll just cease development on that thing. But if you are a masochist and you do want to read this whole thing, here it is linked up in the description so you can dig into all of the details. Another thing OpenAI warned about this week is that users could become emotionally hooked on its voice mode. If you've seen the movie Her with Joaquin Phoenix, he pretty much falls in love with his AI, and his AI becomes his girlfriend because he got so emotionally attached to that voice mode. Jumping back to that scorecard here that was written up straight in that scorecard, they say that during early testing, including red teaming and internal user testing, we observed users using language that might indicate forming connections with the model. They were saying things like, This is our last day together. They do have some worry that it could negatively affect healthy relationships, but potentially benefit lonely individuals. But they do intend to further study the potential for emotional reliance. But it is interesting they're coming out and saying it, right?

now that we haven't rolled out GPT-40 voice to everybody yet. But one of the things we have noticed is some people are getting a little too attached. And since we're on the topic for safety, I'm going to jump over to anthropic for just a moment because they're also making a big focus on model safety. They're creating a bug bounty program that it sounds like you can apply, and if accepted, participants will get early access to the latest models before public deployment with the goal of trying to find ways to circumvent the safety measures. They're offering up to $115,000 for novel universal jailbreak attacks. A jailbreak attack is basically convincing the AI, the large language model, to ignore its guardrails and give you an output that it's not necessarily designed to give you. If people can help them find those jailbreaks so that they can close those loopholes, they're willing to pay for that information. All right, back to OpenAI because they still had some more

announcements and things that happened this week. They rolled out a new feature for developers. They now have structured outputs in the API. Now, if you're not a developer or you're not using the API for any reason, this is probably not relevant to you. But essentially, when you are using their APIs and code, the data that OpenAI is sending over to whatever application you're writing the code for, the data is a little bit more structured and organized, theoretically making it a lot easier to work with. One of the big criticisms of OpenAI lately, and I've been one of the people who's been personally criticizing them a lot about this, is the fact that they talk about a lot of cool things that they're doing but then don't actually ship them and give people access to it. To this day, we still don't have Sora access. To this day, most people still don't have GPT-4 advanced voice features. They announced a new ChatGPT search to go head-to-head with Google. We haven't seen access to it yet. They keep

on showing off these cool, interesting things and then not shipping them. Well, it sounds like we should lower our expectations for OpenAI's next Dev day as well. The Dev day happens in San Francisco on October 1st. Last year's Dev day was when they announced the GPT store, which kind of never ended up going anywhere. And this year, they're basically saying you're not going to get GPT-5 and don't expect anything too crazy from this Dev day. Basically, don't expect to see any massive announcements or new features in ChatGPT. But if you are a developer who's using OpenAI tech and their large language models, there's probably going to be some cool stuff to make your development process easier. It also came out this week that OpenAI actually has a tool to recognize whether or not text was generated with AI or not, but they've deliberately decided not to release it. It says here OpenAI has built a tool that could potentially catch students who cheat by asking ChatGPT to write their assignments, but

according to the Wall Street Journal, the company is debating whether to actually release it. They basically say here that they're worried about bad actors figuring out how to circumvent them. They're also worried that it could stigmatize the use of AI as a useful writing tool for non-native English speakers. Who knows if we'll actually see this or not? Yet another thing OpenAI says, Look, we've got this, but you can't have it. But to be honest, this isn't one that I'm like super excited about, so I'm like really bummed that OpenAI isn't giving it to us or anything. Um, it's just interesting. It's another thing that they're like, Hey, look what we have. Anyway, so you've been hearing about all of this AI stuff, but perhaps you're not sure how to apply it yet. Despite all of the concerns about AI replacing jobs, you can actually use AI tools to your advantage and position yourself as an ideal candidate for your dream position. That's why I teamed up with HubSpot to

Showcase their toolkit designed to help you secure the perfect job using AI. This toolkit includes super valuable resources like 20 AI-powered tools for job seekers. And I'll admit it, as the AI tools guy, some of these tools were even new to me. You also find 60 ways to use chat GPT during your job search, which includes tips on things like improving your negotiation skills. And let's face it, whether you're job hunting or not, being a better negotiator is a pretty valuable skill to have. But honestly, that's just the tip of the iceberg when it comes to the resources available in this toolkit. So if you're currently in the job market, contemplating a career shift, or simply want to enhance your skills for further opportunities, I strongly recommend checking out HubSpot's completely free kit on landing a job using AI. Once again, it's totally free, and you'll find the link in the description below. And once again, a big thank you to Spot for sponsoring this video. Elon Musk is suing OpenAI again this week. I say again 'cause he had a

previous lawsuit with them saying that they basically went against what they originally formed open AI for. But then Elon dropped that lawsuit and then a few days later opened up this new lawsuit. Elon's basically saying that the open AI guys manipulated Musk into co-founding their nonprofit Venture by promising that open AI would be safer and more transparent than profit-driven Alternatives. So while the old lawsuit was kind of claiming that they went against what the company originally stood for, the new lawsuit is much more nuanced in saying they basically tricked Elon Musk into investing in a nonprofit that they eventually started figuring out how to make profits for. But that's not the only lawsuit that open AI is getting hit with this week. A YouTuber named David Mallette is trying to get this class action lawsuit started up against open AI because open AI went and scraped a whole bunch of transcripts from YouTube videos to use as training data. Personally, I don't think this lawsuit is going to win. I think by using

the training data from these transcripts. It's essentially fair use, especially since the output that you're getting from chat GPT when you ask at a prompt isn't the same thing as what was inputted. Without really, really tricking the large language models, you're not going to get the large language model to output word for word exactly what the input data was, therefore making it transformative enough that I don't think there's much of a case here. But I'm not a lawyer. I don't know what I'm talking about. That's just based on how I've seen some of these other lawsuits that have come up play out along the same lines. Nvidia is in some hot water this week when a leaked document showed that Nvidia was scraping a human lifetime of videos per day to train their AI models. So, internal emails, Slack conversations, and documents were leaked that show how Nvidia created their yet-to-be-released video Foundation model. Nvidia did claim that the practice is in full compliance with the letter of the spirit of copyright.

law again. It's going to be interesting because some of these other lawsuits are going to set a precedent for how this is going to move forward in the future. Because while yes, it may have trained on thousands and hundreds of thousands of hours of video footage, the output that you're going to get when you enter a prompt is going to be so dramatically different from everything that was trained on that it feels like they will consider it to be creating something transformative enough. But like I said a minute ago, not a legal expert, have no clue what I'm talking about, just sort of speaking from the experience that I've seen from these other lawsuits. Outside of essentially three people leaving OpenAI this week, there's been other shuffling among the sort of big names in the AI world this week. Character AI partnered up with Google, and as part of the deal, the two co-founders of Character AI are actually moving over to work at Google. So it says here, Character AI co-founder and CEO Noom Shazir is returning to

Google after leaving the company in October of 2021 to found character AI. When he worked at Google previously, he worked on helping Google build AI models like Lambda. So now he's back at Google, this time helping Deep Mind. Now apparently character AI isn't going anywhere. Character AI's General Counsel is becoming the interim CEO for now, and most of the staff is staying with character AI. So the company's going to continue on just, I guess, without the two founding members. Basically, my interpretation of what was going on here was that character AI was in the process of building and training their own foundational models. Over time, they've realized how powerful and good some of these other models have become, you know, GPT-4, Llama 3.1, Claude Sonnet, and of course Google's own Gemini 1.5. And so it sounds like character AI is going to back off on developing their own foundation models and start to use existing models that are out there. And if that is the case, then the two sort of

brains behind developing these Foundation models don't necessarily need to be working in character all the time. That's the way I'm interpreting what's going on. Don't know anybody at character AI, haven't talked to anybody. That's just me putting puzzle pieces together. There's a new large language model fine-tuned for math called Quin 2 math. When it comes to actually doing math, it pretty much beats every existing model on the market in Benchmark testing specifically for math. All right, let's talk about AI video 'cause there's been a few small things that came out in the world of AI video this week. Bite dance, the company behind Tik Tok, debuted a new AI video generation model called jimang Ai. And this article here basically claims that it's similar to open AI Sora. Now, I haven't actually been able to find videos generated with this yet, but here's a sidebyside compar that I found on another article that shows side by side with Sora right being sora's output left being jang's output. I think it's

pretty safe to say that Sora still has it beat just based on these screenshots. Here's some other screenshots here where they're just still images, but outside of a few news articles that say this exists and is as good as Sora, I actually haven't found outputs that it's made. I've only found screenshots of outputs. Runway, on the other hand, has rolled out a new feature this week that you can see what it does and actually use it. Initially, they rolled out Gen 3 Alpha, which gave us good text-to-video, and then they rolled out the Gen 3 Alpha with image-to-video. Well, now the newest update lets you actually pick an ending frame. So, for example, this video that you see here on the screen, the ending frame was this disassembled camera here, and then Runway generated the camera in the beginning and then generated the video of it disassembling into this image here. We can see it says, All examples below demonstrate using an image as the last frame. Here's another one where we see

all of this stuff pushed into a paper bag here with a face inside of the paper bag. But apparently, that was the final image that they started with, was this face inside of a paper bag. Here's another one of like a deconstructed hamburger here, and we can see as it animates a hamburger essentially deconstructing itself. So, if we head on over to Runway ml.com, log ourselves in, get started here with Gen 3 Alpha, I'll throw in this random image that I generated here, and then we have the option to use it as the first frame or the last frame. Let's go ahead and set it as the last frame, and let's just describe the prompt as a man's head opens up and brilliant colors flood out, and see what this generates for us. I'm actually going to bring it down to 5 seconds just so it generates a little faster, and here's our final output. It actually starts with a guy whose head's not exploding, and then if we play it, we can see my face or the face here sort of

of explodes into colors and then ends with this final image that we have over here on the left. Pretty cool. You can see that our final frame is pretty close to this frame that we uploaded, and we get an animation of it actually getting to that frame as the final frame. That's a cool new feature in Runway right now. The company Opus Clip, which if you're not familiar with them, they have a tool where you can upload long-form videos, and then it uses AI to find clips that would make a good short form, and then cuts them into that portrait short form view, and gives us, you know, a 60-second or less clip that can be used as a short. They just rolled out some new features this week as well. So they rolled out what they call clip anything, and according to this, you can clip any moment from any video using visual, audio, and sentiment cues. It claims that it uses state-of-the-art video understanding that analyzes each frame through visual, audio, and sentiment cues, identifying objects, scenes, action, sounds.

emotions text and more, and you can use natural language prompts to find any scene, action, character, event, emotional moment, viral topic, and more. So, just kind of looking at their demo video here. It's got an image recognition model built-in and can actually understand emotions and various characters and various actions and various sounds from the videos. And you can give it a prompt like compile all the dunks. It will look through all the video footage that you uploaded and create short-form content with the dunks in it. Another example: find Casey's airplane shower. It looks through the video and finds the clip where Casey is in the shower. Here, you can be even as broad as find all the craziest moments, find all the Penguins, find all the Applause, and it will create shorts based on what you asked it to create the short around. Now, it's not available to everybody yet. You do have to apply for access, but once I have access, this sounds like something fun to play with, and I'll put it through its motions and share my findings with you.

all right, now that's pretty the biggest news of the week, but I do have a handful of smaller items that I'm going to kind of rapid-fire at you here. Automatic, the company who makes WordPress, launched an AI writing tool that aims to make WordPress blogs more readable and succinct. You can see that it uses AI to make suggestions and fix complex words, long sentences, unconfident words, things like that. Amazon Music launched Topics, which is a new AI-powered feature that makes it easier to discover podcasts. Basically, if you listen to your podcasts over on Amazon Music and you tap on an episode, it will use AI to help you find similar episodes from other podcasts along the same vein. Audible is testing an AI-powered search feature as well. It says US customers can interact with Maven, Audible's new personal recommendation expert that surfaces title suggestions based on user-specific requests. The user can use natural language to enter queries, and Maven will respond by providing tailored recommendations pulled from Audible's catalog of nearly 1 million titles. Reddit is also testing AI-powered search.

features inside of the Reddit platform. It says here Reddit users will soon see AI-generated summaries at the top of search results. The company plans to test AI-powered search result pages to summarize and recommend content. They claim that this helps users dive deeper into content and discover new Reddit communities. I thought this was an interesting story. You all remember the Humane pin, which kind of got destroyed by every reviewer, most notably Marquez Brownlee. Well, it turns out that now the Humane pin is actively getting more refunds and returns on a daily basis than they're getting sales of it. They sold $9 million worth, and they've already passed $1 million in total returns of the AI pin. Google showed off a new Gemini AI-powered TV streamer. It sounds like it's a new product that's going to replace the Chromecast, so it's like Google's version of a Roku or Amazon Fire Stick or Apple TV. And it says here to simplify content discovery, the Google TV streamer leverages Google AI to curate personalized content.

suggestions based on user preferences conveniently organized in one place interesting to me because we kind of already have this right. When you're using Hulu, when you're using Amazon Prime, when you're using Netflix, when you're using YouTube, all of these video platforms have a recommendation algorithm. They see what you like and then recommend more content like what you like. I guess some of this new AI, that generative AI that's coming out, I guess makes that better because I'm not sure how using generative AI is going to be a huge improvement over the existing sort of algorithmic method that they used for content recommendations in the past. I mean, that was already a sort of form of AI. It wasn't generative AI, but it was a recommendation algorithm AI. Why is using the newer generative AI going to be better? I'm not sure yet. We'll find out together, I guess. Last week, I talked about how Taco Bell is going to be integrating AI into their drive-throughs. Well, I came across this tweet from Olivia Moore here where she

actually showed off a video of somebody using a new AI drive-thru at Wendy's, and it's quite improved over the old memes that we used to see where people would go through the drive-thru, and they would order like an ice cream, and it would say, Oh, so you want a cup of milk? and they're like, No, I want an ice cream, and they're like, All right, two milks, and it just like couldn't figure out what they were trying to order. Seems a lot better now. Take a look. Welcome to Wendy's. What would you like? Can I have a chocolate frosty? Which size for the chocolate frosty? Medium. Can I get you anything else today? No, thank you. Great. Please pull up to the next window. Oh, it seems like it works pretty well. I also love robots. Here's a new robot that Google Deep Mind was showing off, claiming that it's solidly amateur at table tennis. You know, at this point, we've seen AI destroy people at chess. We've seen it destroy people at Go.

we've seen it destroy people at Jeopardy. We also even saw AI recently beating Formula 1 drivers and drone racers, right? So, AI is sort of taking over all of this stuff, and it looks like now it's coming to table tennis thanks to DeepMind. Here's a video out of Nvidia that shows off how we can use things like the Apple Vision Pro to actually control robots. Now, I know this isn't specifically AI, but we can see that humans could put on the Apple Vision Pro, actually take actions with their hands, and the Apple Vision Pro sees the motion they're doing at the hands and translates it to the robot, and the robot can do that. I just thought that was really cool, wanted to share it with you. This is from the Apple Insider website. I'll make sure it's linked up below if you want to take a peek at this. To me, this is just like fun nerd stuff. And finally, there is a new humanoid robot in the world. We got the Figure O2 from Figure Robotics. We can

get a little peek at what it looks like. They just revealed it this week. It's got a whole new look from the figure 01. I think it looks pretty cool. I mean, very similar to the Tesla Optimus robot. You can see it can move its hand in all sorts of directions, just like a human can. It's got six cameras, so it's got AI-driven vision. So ideally, it doesn't, you know, bump into stuff, and it can see what it's picking up and things like that. Walks a little clunky, but pretty much all the humanoid robots do. Still, it's got speech-to-speech reasoning, so it should be able to listen to you and also reply to you. And apparently, they're already starting to use these on the BMW production lines. Pretty cool. We're already seeing this embodied AI in robots being used on production lines for, you know, theoretically unsafe jobs for humans. Let's let the robots do it. Anyway, that's what I got for you this week. A lot of interesting storylines played out, some interesting stuff with

open AI some cool new video tech that we're seeing lots of fun stuff next month. I think we're going to see some other announcements as well. Meta Connect is at the end of next month. I'm excited to see what Meta is going to unveil at Meta Connect. According to Greg Brockman's tweet that I showed off earlier in this video, Open AI has some really interesting stuff they're going to be revealing pretty soon. So I think some exciting stuff's about to happen. I'm excited by it all. Everything I showed off in this video is the stuff that I found personally interesting that I thought I would show you. There was some other little bits and pieces of news that I probably cut out 'cause after I watched back the video, I went, Ah, that's not that interesting, cut it. The stuff that I left in is the stuff that I thought was cool and nerdy that I thought nerdy people like you would think is cool also 'cause if you're watching my channel, you're probably a little bit nerdy like me as well, but I

have so much fun with this stuff. I love playing around with it. I love seeing what's new. I love trying the new tools. If you like stuff like that, make sure you like this video, subscribe to this channel. I'll keep all the latest AI news updated in your YouTube feed. I'll also share tutorials on how to do all the cool stuff with AI that you see others doing, and just kind of loop you in on the latest and greatest in the world of AI and emerging Tech. Like and subscribe if you haven't already, and as always, check out futur tools. This is my website. This is where I create the Cool Tools I come across. I also keep the news up to date pretty much daily, so if you want to know the news on a day-by-day basis instead of waiting for these weekly videos, it's available there. It's completely free. It's all over at futur tools. Thank you so much for tuning into this video. I really, really appreciate you. Thank you, HubSpot, for sponsoring this one. You guys rock, and uh, hopefully

AI News: Things Are Getting Weird

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AI News: Things Are Getting Weird

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