AI Shocks Again: GPT-5, Strawberry, 3-Brain Robots, Flux Video AI, Grok 2 & More (Summer 2024 News)

This summer, the AI world didn't just evolve, it exploded. And what's coming next could leave you stunned. AI robots with three brains are now learning at speeds beyond human capability. And new models are generating videos so realistic it's hard to tell them apart from the real thing. OpenAI has been rolling out multiple ChatGPT updates, all leading up to the highly anticipated GPT5, which is just around the corner. Meanwhile, Google's Gemini Pro is pushing the boundaries of what AI can do. Elon Musk's Xi Grock 2 model is shaking up the field, and humanoid robots are no longer a distant idea. They're actually replacing human jobs as we speak. The future is here, and it's more shocking and unpredictable than ever. In this video, we'll cover all the major AI breakthroughs, models, robots and developments from the summer of 2024. Stay tuned, because what you're about to see is a glimpse into the fascinating reality unfolding around us at a pace so fast it's almost impossible to keep up with everything happening in the world of AI. OpenAI has announced a new AI search engine called SearchGPT. Obviously it's powered by AI, and it's setting up to be a serious competitor to the likes of Google and Bing. Let's unpack what this means and why it's such a game changer. So OpenAI is rolling out SearchGPT as a prototype to a select group of users and publishers. It's designed to combine the capabilities of OpenAI's AI models with real time web searches. What's different here is that SearchGPT doesn't just spit out a list of links, it actually organizes the information and presents it in a more user friendly way. Let me give you an example from OpenAI's blog post. Say you search for music festivals in Boone, North Carolina in August 2024. SearchGPT won't just throw a bunch of links at you, it'll give you a summary of the festivals it found, complete with little descriptions and links to the sources. They say their new search engine aims to make finding information online faster and more efficient. Everything is presented in a clear conversational format, which makes the whole experience a lot more intuitive. OpenAI is planning to eventually integrate these search features directly into ChatGPT, which could be a major upgrade for users who already rely on ChatGPT for various tasks. Now, OpenAI is also addressing some of the major concerns that have come up with AI in search of. We've seen other AI search tools like Google's AI Overviews and perplexity face backlash from publishers. These tools have been accused of taking content without proper attribution, which can hurt traffic and ad revenue for the original sites. But OpenAI is taking a different approach by partnering with publishers and giving them control over how their content is used. They've even got big names like the Wall Street Journal and the Atlantic on board, which speaks to the level of trust they're building. One of the standout features of SearchGPT is how it handles attributions. When you search for something, you get answers with clear inline citations and links to the original sources. This not only helps users know where the information is coming from, but also directs traffic back to the publishers. This move is directed at fostering a more symbiotic relationship between AI tools and content creators. In the early stages, only about 10,000 test users will have access to SearchGPT. OpenAI is using direct content feeds and working with third party partners to build the search results. This approach is all about getting feedback and fine tuning the system before a wider rollout. The idea is to make web searches not just faster, but also more accurate and reliable. Now OpenAI's entry into the search market comes at a time when Google is facing significant challenges. The U.S. department of justice has an antitrust lawsuit against Google A accusing it of monopolizing the Internet search industry and this opens the door for competitors like SearchGPT to make a significant impact. Alphabet shares fell 3.6% in after hours trading following OpenAI's announcement of SearchGPT. Google, which currently dominates the search market with about 90% of search engine traffic, is facing a direct challenge from OpenAI's latest innovation. This development highlights the growing competition in the AI search space, particularly between Microsoft backed OpenAI and Google Now. OpenAI's new search GPT is a perfect example of why you actually need to know how to use AI to stay relevant at work. If you've been noticing, a lot of people are losing their jobs just because they don't know how to use AI tools to make their daily tasks easier. The best way to keep your job, and maybe even get ahead is is to learn how to use AI and make yourself ten times more efficient. Now I've got something awesome for you. A ChatGPT and AI workshop hosted by Growth School. It's a three hour session all about using AI tools and ChatGPT and it's usually paid, but the first 1000 people can join for free. This workshop is a game changer for anyone working or running their own business. Our team gave It a perfect 5 out of 5 rating and you'll find the link in the description. It actually doesn't matter what you do, whether you're in tech, sales, marketing, HR operations, freelancing or running a business, this workshop will teach you strategies for getting a raise, job hunting, solving big data problems with Excel in just five minutes, personal branding, deep data analysis, and even business strategies. Hosted by Growth School, this workshop has already helped over a million people. Supported by leading global investors. Growth School was recognized as one of LinkedIn's top startups in 2022 and 2023, so don't miss out. Register now for free as one of the first 1000 participants. Click the link in the description to sign up. See you there. Alright, now back to the unfolding story of AI powered search engines. OpenAI's unveiling of SearchGPT has been seen as a significant threat to Google's search dominance since the rise of ChatGPT in 2022. In response, Google has integrated AI features into its own own search engine to fend off competition from rivals like ChatGPT and Perplexity, which is backed by Jeff Bezos. Despite these efforts, speculation about Alphabet's potential vulnerability to AI competition had not materialized, as evidenced by Alphabet's recent double digit advertising revenue growth for its second quarter. SearchGPT, however, represents a more direct and formidable challenge to Google than previous innovations. OpenAI described it as a prototype designed to combine the capabilities of their AI models with real time web information, providing fast and timely answers with clear and relevant sources. Another really interesting aspect of SearchGPT is the visual answers feature. While full details are still a bit unclear, it seems like this will involve AI generated videos and images to enhance the search experience. This could be incredibly useful for visual learners or for topics that lend themselves well to graphical representations. OpenAI has been steadily moving towards tighter real time web integration for ChatGPT. GPT 3.5 was an early step in that direction with more current information. Then came the Browse with Bing feature, a basic implementation, but a clear signal of their intent. Now SearchGPT takes a major leap by making AI a central part of how we search the web. It's evident that OpenAI doesn't just want to compete with existing search engines, they want to fundamentally redefine how we interact with online information by making searches more conversational and seamlessly blending up to date web data, and they aim to create a smoother, more efficient user experience. This prototype phase is critical for working out any kinks and ensuring the system functions well for a wide audience before a broader rollout. They are obviously taking the time to gather feedback, make adjustments and deliver a polished product. It's clear now that SearchGPT isn't just about finding information. It represents a reshaping of the entire search experience to be more engaging, visually compelling and and tightly interwoven with the ever evolving web. So what's next for SearchGPT? OpenAI plans to keep iterating and improving the experience, especially in areas like local information and E commerce. They'll be seeking feedback from both users and publishers to make the service even better. If you're interested in trying it out, you can sign up for the waitlist on their website. This SearchGPT release could really shake up the online search industry. With Google facing major antitrust lawsuits and new AI powered search tools like SearchGPT emerging, we're seeing big changes in how people will find and access information on the Internet. This is an area that's heating up, so it's worth paying attention as things are about to get competitive and disruptive. All right. Now turning to a more critical matter. OpenAI is struggling with major financial problems. According to internal projections, the company is expected to lose a staggering $5 billion this year. That's right, $5 billion. To put that number into perspective, that's roughly the GDP of a small country. So what's going on? Well, it turns out that developing and maintaining AI models like ChatGPT is extremely expensive. The company needs to pay for massive amounts of computing power to process all the data and generate responses. And we're not talking about just any computers. We're talking about supercomputers that can handle enormous amounts of information. But that's not all. OpenAI has also been hiring a lot of new staff to help develop and improve its AI models. In fact, the company has doubled its workforce in the past year alone. And all those new employees come with a hefty price tag. Now, you might be wondering how OpenAI plans to make up for all these losses. Well, the company does generate some revenue from ChatGPT, but it's not nearly enough to cover its expenses. In fact, estimates suggest that ChatGPT only brings in around $100 million to $200 million per year. That's a tiny fraction of what OpenAI needs to break even. So who's footing the bill? Well, it turns out that Microsoft is providing subsidies to help cover its losses. But even With Microsoft's support, OpenAI is still struggling to find a way to make its business model work. The problem is that their primary focus is on research, not generating Revenue. The company wants to push the boundaries of what's possible with AI, but that's a costly and time consuming process. And while ChatGPT has been a huge success, it's still not clear how OpenAI plans to monetize it in the long term. This raises some serious questions about the future of OpenAI. Can the company find a way to make its business model work? Or will it continue to rely on Microsoft subsidies? And what happens if Microsoft decides to pull the plug? The truth is, OpenAI's struggles are a reminder that developing AI is incredibly challenging and expensive. It's not just a matter of throwing a bunch of money at the price problem and hoping for the best. It takes time, effort, and resources to create AI models that are truly useful and effective. But despite these challenges, OpenAI is still pushing the boundaries of what's possible with AI. And that's something to be excited about. With its talented team and focus on research, OpenAI has the potential to make some truly groundbreaking discoveries. Alright, guys, let's talk about the insane pace of AI and robotics development lately in it's been moving fast, real fast. But what's happening in China right now is on a whole other level. They've created an AI robot that's unlike anything we've seen before. And trust me, when I first heard about this, my mind was blown. Let's cut to the chase. This isn't your average robot with a silicon brain. Nah. These mad scientists have gone and given it a brain made from actual living cells. You're not mishearing me. We're talking about a robot with a partially biological brain. They've crossed a line that many thought was uncrossable, redefining the very essence of artificial intelligence. Now, before you start picturing some kind of cyborg monstrosity, let me paint you a clearer picture. They're calling this thing a brain on a chip. Sounds pretty futuristic, right? Well, it kinda is. Instead of relying on traditional computer circuits, these researchers have grown teeny tiny brain cells in a lab and and plopped them onto a microchip. With surgical precision. They've transplanted the essence of human cognition into the cold heart of a machine, Kickstarting a whole new era of smart machines. But here's where it gets really trippy. Our brains, right? They're these complex networks of neurons, all firing and connecting. Somehow these absolute geniuses have managed to recreate that on this tiny chip. Now, let's rewind a bit and talk about how they actually pulled this off. It all starts with stem cells. The superheroes of the cell world. These little guys can transform into pretty much any cell in your body. It's like cellular shape shifting. So these scientists took these stem cells and essentially said, today you're gonna be brain cells. And somehow they actually managed to do it. They coaxed these cells into growing into this intricate network of brain cells, Mimicking what you'd find in a human brain. Then in a move that probably made every sci fi writer jealous, they stuck this cellular brain onto a special microchip. And just like that, robot brain. Now you might be thinking this is cool and all, but why should we care? Well, let me tell you, this is a game changer. Most AI we deal with today is based on computer programs, right? It's all coded and pre programmed. But this is a whole different ball game. This robot can actually learn and adapt like a living creature. It's not just following a set of instructions. It's experiencing things and changing based on what it learns. It's closer to how our brains work than any AI we've seen before. You have to guess, what's it look like? Like it's thinking. The implications of this are huge. Just take a second to consider the possibilities. Think about how this could revolutionize our understanding of the brain itself. Artificial intelligence. By studying these lab grown brain networks, we might uncover new ways to tackle neurological diseases like Alzheimer's or Parkinson's. It's not just cool science, it's potentially life changing stuff. But let's not get ahead of ourselves. This tech, as amazing as it is, also opens up a whole can of worms when it comes to ethics. We're entering uncharted territory here. At what point does a robot with a living brain become, well, alive? It's not just a philosophical question anymore. It's something we might actually have to grapple with in the near future. Now I can almost hear some of you freaking out. Skynet, anyone? Are we on the brink of a robot uprising? Relax, we're not quite there yet. This is still early days and there's a lot of work to be done before we see this tech out in the wild. But it does mean we need to start having serious conversations about the implications of this technology. The thing is, this isn't just about creating smarter machines. It's about blurring the lines between artificial and biological intelligence. We're talking about a future where the boundaries between AI and biotechnology start to disappear. It's exciting, it's a little scary, and it's definitely going to change the world as we know it. But here's the thing. With all this potential comes a huge responsibility. Are you afraid that I'm going to turn into some kind of criminal? Quit worrying about me, okay? We're not just talking about technological advancement here. We're talking about potentially redefining what it means to be alive, to be conscious. These are big heavy concepts that we as a society need to wrestle with. But that's the nature of progress, isn't pushes us out of our comfort zones, forces us to confront new realities. And while it can be daunting, it's also incredibly exciting. Now interestingly, Jeff Bezos and Softbank have invested a staggering $300 million in a startup called Skilled AI. Now it seems these folks aren't going for the whole lab grown human cells brain in a robot thing. Instead they're aiming to build a full on artificial brain from the ground up. They say they're pioneering what they call a robot brain, which is about crafting a general purpose AI brain that can be installed in any robot, making it capable of performing complex and varied tasks without needing specific programming for each task. Skilled AI, led by some brilliant minds from Carnegie Mellon, envisions a future where robots can handle adverse physical conditions or perform dexterous manipulations in industrial and household environments. They're pushing the envelope towards developing artificial General intelligence, or AGI, which aims to achieve human like intelligence in robots. Now there's actually another breakthrough in robotics. Maybe not as crazy as human brains in robots, but still pretty wild. And Indian companies just jumped into the robot game and they're not messing around. So Zen Technologies and their partner AI Turing Technologies have cooked up this four legged robot. They're calling it Prahasta, which is apparently some badass warrior from Hindu mythology. And let me tell you, this thing's no joke, a robot dog. But instead of fetching your slippers, it's carrying an assault rifle. Yeah, this isn't Boston Dynamics Parkour bot. This thing's built for defense. Now Prahasta's got some seriously cool tech under the hood. It uses something called Lidar, which is like radar but with lasers, to scan its surroundings. And it's got AI that helps it understand the terrain and plan missions. These guys released a video showing off what pro Prahasta can do, and it's pretty impressive. This robot's climbing stairs like it's nothing, with a gun strapped to its back. It's hopping over obstacles and gaps like some kind of mechanical gazelle. And get this, they say it can even pick up a fully grown adult. I'm talking about a robot dog that can fireman carry a 180 pound person, which could be potentially life saving in dangerous situations. If this robot gets knocked over, it can get right back up on its own. They're calling it Auto Resurrection, which sounds pretty dramatic, but when you see it in action, it's hard not to be impressed. Now they've also unveiled barbaric URCWs. It's basically a remote controlled weapon station that they're claiming is the lightest in the world. And it's not just for land. They're saying it can be used on ships too. The folks at Xen are pretty hyped about all this. Their big boss, Ashok Atluri, is talking about how these robots are going to change the game for defense operations. He thinks this is going to make people sit up and take notice of how important robotics could be in combat and recon missions. It's worth noting that Xen's not new to this game. They've been in the defense tech business for a while, making things like anti drone systems and combat simulators. In fact, they've shipped out over a thousand simulators and training systems worldwide. So what does all this mean? Well, we're looking at a future where robots aren't just in factories or delivering packages. We're talking about robots that could be on the front lines. But of course, just like with the brainchip robots, this raises some big questions. How much autonomy should we give to armed robots? What are the ethical implications of using AI in defense? These are heavy topics we're going to have to wrestle with as this tech keeps advancing. If you've been following all the latest AI news and events, then you know everyone's been going nuts waiting for OpenAI to drop their new Sora model. But while we were all patiently waiting, this Chinese company called Kuaishou just went and dropped an absolute game changer. Out of nowhere, they released this wild new AI model called Cling. And man, it is blowing everyone's minds with what it can do. So let's get into it. Cling is a video generation model developed by Kuaishou, a company you might know from their popular app Kwai. This new model is like Sora, but some are saying it might even be better in some areas. What's really cool is that Kling is open access, meaning more people can get their hands on it and see what it can do. Let me paint a picture for you. So a prompt that says, a Chinese man sits at a table and eats noodles with chopsticks. Kling takes this and generates a video that looks almost too realistic. And if you remember that infamous video of Will Smith eating noodles that looked like something straight out of a horror movie, well, Kling's version puts that to shame. It's like night and day. Seriously. Hey Uncle Phil, come try this. Kling can generate videos up to 2 minutes long with just a single prompt in full 1080p quality at 30 frames per second, which is actually pretty impressive. It accurately simulates real world physical properties, which means the videos it creates don't just look good, they behave like real life videos too. The magic behind Kling lies in its diffusion transformer architecture Architecture. This technology helps it translate rich textual prompts into vivid realistic scenes. Plus, Kling uses a proprietary 3D VAE that's variational auto encoder and supports various aspect ratios thanks to variable resolution training. Basically, it can handle different video dimensions and still produce high quality output. One of the standout features of this model is its advanced 3D face and body reconstruction technology. It allows it to create videos where characters show full expression and limb movements, all driven creating from a single full body photo. So essentially, this tech is what makes the videos look so lifelike and consistent. Now, this whole thing is making it pretty clear that China is seriously stepping up its game when it comes to AI development. Cling is just a glimpse of what's coming out of the country, and it's giving us a hint that they might be ahead of the curve. OpenAI has said they'll release Sora by the end of the year, but with Kling already out, they might have some catching up to do. The big question though, is whether China will make Kling available worldwide. Right now it's accessible through the Kua I app, but you need a Chinese phone number to use it. Now. CLING isn't the first AI video generation model from China. Back in April, Kuaishou released VDU AI, which could create 16 second videos in 1080p resolution. Cling is the next evolution of that, offering longer videos with even better quality. If you check out Kling's website, you'll see see some of their demo videos and let me tell you, they're pretty impressive. For example, there's a video of an emperor angelfish swimming in a rocky underwater habitat, a man riding a horse in the Gobi desert during sunset, and even a white cat driving a car through a busy urban street. These videos showcase the model's ability to handle complex scenes and movements while maintaining high quality. The technology behind kling involves a 3D spatiotemporal joint attention mechanism, which helps it model complex movements and generate video content with larger motions that conform to the laws of physics. So when you see a man riding a horse in the desert, the horse's movements, the dust trails and even the sunset in the background all look just right. Kling also uses efficient training infrastructure and extreme inference optimization. This allows it to generate videos up to 2 minutes long at a smooth 30fps. One example they showed was a little boy riding a bicycle through different seasons in a garden. The video maintained high consistency and detail throughout, which is no small feat for AI generated content. Another cool thing about this model is its strong concept combination ability, like it can take different ideas and merge them into a single coherent video. Like this prompt. White cat driving a car through a bustling city. Footage like that doesn't exist exist in real life, but Kling can create it from scratch, making it look believable. It also excels in movie quality image generation. The AI can produce videos that look like they were shot with a professional camera crew. One example they showed was a man and a woman walking under a starry sky with the stars moving in the background. The level of detail and quality in these videos is truly cinematic. What's more, Kling supports various video aspect ratios which whether you need a square video for Instagram, a portrait for TikTok, or a landscape for YouTube, it can actually handle it all. And this flexibility is super useful for content creators who want to use the same video across different platforms. So let's talk about some more examples from the demos. One video shows a Chinese man eating noodles with chopsticks. The details are so precise that if you saw this at a lower resolution, you might not even realize it's AI generated. Another video shows a chef chopping onions in a kitchen. And and the way the onions are cut and split by the knife is incredibly realistic. But the video I mentioned before, a cat driving a car through a busy street. This one is particularly impressive because it combines a lot of different elements. Cars, buildings, pedestrians and the cat's movements, all in one seamless video. Another demo features a volcano erupting inside a coffee cup, showing off Kling's ability to create fictional scenes that look convincingly real. And one of my favorites is is a Lego character visiting an art gallery. The video captures the unique way Lego characters move, just like in the Lego movies. There's even a clever focus shift from one character to another, showing that Kling can handle depth and focus changes just like a real camera. Another standout feature is Kling's ability To simulate real world physics. One demo shows milk being poured into a cup, with the milk flowing steadily and filling the cup. Realistically, this might seem simple, but it's actually quite challenging for AI to get these physical interactions right. Cling's technology is also capable of generating videos with temporal consistency. This means the AI maintains a logical flow and coherence over longer videos. In one example, a video of a train traveling through different landscapes stays consistent for the entire two minutes, which is really impressive overall. Kling is showing us that China is rapidly advancing in AI video generation technology. They're not just keeping up with the best models from the us. In some cases, the they're surpassing them. This could lead to a competitive race in AI development with countries striving to outdo each other, which might bring both exciting advancements and potential risks. I can't wait to see how OpenAI responds to this cling AI model from Kuaishou. It definitely seems like they're going to want to get their SORA model out there sooner than originally planned to keep up with the competition. But while we're all eagerly awaiting OpenAI's response and reaction to cling, we're also getting some really interesting news from the company itself. In a surprising move, OpenAI has revived its robotics team after disbanding it three years ago. With AI driven robotics investments surging, the company is now actively hiring research engineers for this newly reassembled team. While specifics are under wraps, job listings indicate the engineers will focus on training multimodal models, developing features for partners and optimizing core models. Interestingly, OpenAI aims to integrate its tech into other companies robotic systems rather than competing directly. Over the past year, OpenAI's venture fund has invested in several humanoid robotics companies like Figure AI, whose robot leverages OpenAI's models. This collaboration hints at a promising future for AI powered robotics. Robotics has always been key to OpenAI's mission, and this revival suggests a strategic pivot to capitalize on the integration of AI and robotics. Okay, let's talk about something super exciting and honestly, a little bit terrifying in the world of AI. If you've been following the AI image generation scene for a while, you know we've had some big players dominating the space midjourney. Dall? E Stable diffusion. But guess what? A fresh contender has arrived. And it goes by the name Flux. And trust me, you're going to want to know about this one. So where do we start? Let's kick things off with a little background on what's been going on in The AI world you see, for the last couple of years, we've seen a massive boom in AI generated art. Tools like Adobe Firefly, Midjourney, Dall E and Stable Diffusion have been battling it out to be the top dog, each one pushing the boundaries with their updates. But now something new has entered the ring and it's got everyone talking. Alright, let me paint you a picture. You're scrolling through your social media feed and you come across an image that looks so real you'd swear it was a photograph. But then you do a double take. Maybe it's the way the text on a lanyard looks a little funky, or the patterns in the background seem a bit off. That's when you realize you're not looking at a photo, you're looking at an AI generated image. And this thing is as close to real as it gets without actually being real. That's Flux for you. And it's causing quite a stir. So Flux is an open source AI image generator that's being developed by a company called Black Forest Labs. If that name doesn't ring a bell, maybe the fact that some of the folks behind it used to work at Stability AI will. Yup, that's the same crew responsible for Stable Diffusion, which as you know, is a pretty big deal in the AI art world. The company is also working on a text to video model that it promises will offer high quality output and be available open source, branding it state of the art text to video for all. Now, since the startup recently secured $31 million in a financing round with backing from well known tech investor Andreessen Horowitz, it's clear they're on solid footing. According to their homepage under the what's Next section, their upcoming model will be called Sota and it's set to be available to everyone. Meanwhile, OpenAI's video generator, Sora has been around for six months, but is still only accessible to a select group of testers. Now let's talk about what makes Flux so special. First off, it's open source, which means the code is out there for anyone to tinker with, modify and integrate into their own projects. It gives a ton of flexibility to developers, hobbyists and even small businesses who might not have the resources to invest in more expensive proprietary tools like Midjourney. But there are actually three different versions of Flux. The first one is the Pro version, which is geared towards commercial use. This is the big Boy, the model that's meant for companies that want to incorporate high quality AI image generation into their products or services. Then there's the dev version, which is a midweight model. It's sort of the middle ground. Still powerful, but not quite as heavy duty as the pro version. And lastly, there's the Schnell version. Schnell means fast in German, by the way, which is fitting because this version is all about speed. It takes like two or three seconds for this model to generate an image, which is pretty crazy. It's the lightweight, fast performing model that's great for those who want quick results without needing a super beefy machine to run it. Speaking of running it, here's another thing that sets Flux apart from its competition. It can run on some pretty modest hardware. Like, if you've got a decently powerful laptop, you're good to go. You don't need a supercomputer or a cloud service to get this thing up and running. That's a big deal because it makes high quality AI image generation accessible to a much wider audience. When we talk about realism, Flux stands out as a clear leader. As I mentioned before, the images it creates are so lifelike, it's hard to believe they're AI generated. In fact, some people are saying that Flux might just be the new king of photorealism. Especially when you compare. Combine it with something called Lora. Lora is a fine tuning script developed by a group called XLabs. And when you pair it with Flux, the results are nothing short of mind blowing. We're talking about images that are so detailed, so accurate, that you'd be hard pressed to tell them apart from real photos, at least at first glance. But. And there's always a but, it's not perfect. If you really start to scrutinize these images, you'll notice some telltale signs that they're AI generated. Text is a big giveaway. Flux still struggles with rendering small text accurately. So if you see something like a lanyard or a sign in the background, the text might look a little off. Patterns and textures can also get a bit wonky. And sometimes elements in the image are just slightly out of proportion. It's nothing that ruins the image outright, but if you're looking for it, you'll spot it. And then there's the issue of skin textures. As good as Flux is at rendering people, it sometimes falls short when, when it comes to making skin look natural, it actually makes the skin looking better than in reality. You might notice that it can appear a bit too smooth, which breaks the illusion of realism. It's something that midjourney, especially in its latest version, seems to handle a bit better. But here's the thing. Despite these minor imperfections, the images that Flux produces are going viral, and it's not hard to see why. The level of realism it achieves is stunning. And, and it's got people buzzing about the potential uses for this technology. Think about it. Stock photography, advertising, social media, content. There's a huge market for realistic images, and Flux could be a game changer in that space. But as awesome as it is to be able to create hyper realistic images with just a few clicks, there's also a darker side to this technology. We're already seeing concerns about how AI generated images could be used to create fake news, commit scams, or spread misinformation. The more realistic these images become, the harder it's going to be to tell what's real and what's not. That's a pretty scary thought, and it's something that we're going to have to grapple with as AI technology continues to evolve. But let's not get too bogged down in the doom and gloom just yet. There's still a lot to be excited about with Flux, especially if you're someone who likes to experiment with new tech. If you're curious about trying it out for yourself, you. You've got a few options. If you've got a decent laptop, something with a good gpu, you can actually download and run Flux locally. There's a launcher called Pinocchio that makes it super easy to get set up. It's a big file, so it might take a while to download, but once you've got it, you can start generating images right on your own machine. No need to rely on cloud services or Internet access. But if your computer isn't up to the task, don't worry. There are plenty of online platforms that have already integrated Flux into their offerings. For example, nightcafe, which is one of the more popular AI image platforms out there, has added Flux to its lineup. This means you can generate images using Flux and compare them directly with images from other models like ideogram and stable diffusion 3. It's a great way to see how Flux stacks up against the competition in real time. Another platform that's jumped on the Flux bandwagon is po. If you're not familiar with po, it's an AI model platform that lets you generate images in a chatbot style style format, kind of like how you would with ChatGPT and Dall E. It's a different approach, but it's cool to see how Flux performs in that kind of environment. And if you're a developer There are even more options. Flux is available on platforms like Baselabs, Hugging Face and FAL AI, which are more geared towards folks who want to dive into the technical side of things. Freepik, one of the biggest names in stock photography, is also working to bring Flight Flux to its site. So keep an eye out for that. So Flux is definitely a model to watch. It's got the potential to shake up the AI image generation scene in a big way. And it's already proving to be a serious contender to establish names like Midjourney and Stable Diffusion. A brand new humanoid robot called figure02 just got the Internet's attention. It is backed by OpenAI and some other huge names in tech like Nvidia, Microsoft and even Jeff Bezos's private fund. So yeah, it's pretty big. Alright, so let's get into it. Figure, the company behind this robot just dropped a teaser video for their latest model, figure O2. The video is short, like seriously short, but it's packed with some really interesting details if you look closely. So let's check out the video first and then I'll break down everything you need to know. Sa. Alright, so we see some robotic joints, limbs and these futuristic looking flexible mesh designs that are probably part of the robot's body. And if you're into specs, they even tease torquey ratings up to 150 newton meters to break it down. That's basically a measure of how much force the robot can exert when it's moving something. There's also something about a ROM or range of motion up to 195 degrees, which is kind of a big deal in the world of robotics. Now, Brett Adcock, the founder of Figure, and this guy is not new to wild tech startups. He's also behind Archer Aviation and Veteri posted on Twitter, or X as it's called now, that figure 02 is the most advanced humanoid robot on the planet. Bold claim, right? But with the backing they've got, it's hard not to take him seriously. So let's rewind a bit. Figure as a company only started in 2022, which is like yesterday in startup terms. And they've already got a lot of people talking. They came out of nowhere in March 2023 with their first model, figure 01, which was aimed at tackling global labor shortages. The idea is that these robots can step in to do jobs that are unsafe or just plain boring for humans, like working in warehouses, factories and retail. And get this, they built their first full scale humanoid robot in just six months. Six months, people, that's insane. They've got a team of 40 experts, including their CTO, Dr. Jerry Pratt, who's a big name in the robotics world. Their vision is pretty make robots that boost productivity, make workplaces safer. And get this, they've promised they'll never weaponize these robots, so they're really going for that good guy angle. What's also cool is they've already inked a deal with BMW Manufacturing, so we might be seeing these robots in action sooner rather than later. And to top it off, figure 01 had some impressive integration with OpenAI's GPT4V model, which is like the top of the line AI tech right now in can you explain why you did what you just did while you pick up this trash on it? So I gave you the Apple because it's the only edible item I could provide you with from the table. So you can bet Figure 02 will be packing some even newer AI models when it drops on August 6, 2024. Now, Figure isn't the only one in the game. The race to bring AI powered humanoid robots into our homes and workplaces is heating up. You've got Elon Musk out there saying there's going to be a market for over 10 billion. Yes, billion with a B humanoid robots. He's working on his own robot, Tesla Optimus, which is basically going to be a competitor to Figure. And then there's Nvidia, who's been showing off some pretty wild stuff with their Project GR00T, using Apple Vision Pro headsets to help train AI robots through tele operators. Oh, and don't forget Boston Dynamics. Those guys have been in the game for a while and they're working on their own humanoid robot too, upgrading their Atlas model with electric motors to make it cheaper and more reliable. Now, another really interesting development in the world of AI and robotics is coming from a startup called Oxford Dynamics, based in Harwell, Oxfordshire. They're working on a robot called Strider. And this thing is specifically designed to venture into something some of the most dangerous environments known to man. We're talking about places where chemical, biological or even nuclear threats are present. Basically situations where you really wouldn't want to send a human. Now, Oxford Dynamics isn't just playing around here. They've already landed a £1 million contract with the UK Ministry of Defense to design, develop and supply these robots. The idea is, instead of risking human lives, why not send in a machine that can handle the job? Mike Lawton, one of the directors at the company, is thinking Big. He's talking about building hundreds, maybe even thousands of these Strider robots in the future. All with the goal of making the world a safer place. So what exactly can Strider do? Well, this robot is pretty versatile. It's got a long, multi jointed arm that can take readings, collect samples and retrieve contaminated objects. And it moves around on these tanks, tank like treads. Which means it's built to handle rough, unpredictable terrain. Think about how tough it would be for a human in a Hazmat suit to navigate a place like that. Strider can do it without breaking a sweat. Well, if robots could sweat. The company started working on Strider in November, and they've got until September to deliver the finished product to the Defense Science and Technology Laboratory. They're hoping Strider can be used in scenarios like the 2018 Novichok Atal Hack in Salisbury, where dealing with contaminated objects was a serious challenge. This robot could swoop in, grab those dangerous items and secure them in sealed containers, all while performing tasks that would be really difficult for humans. But Oxford Dynamics isn't stopping there. They're planning to integrate their AI software into Strider and they're calling it avis, which stands for a very intelligent system. That sounds a bit like Jarvis from Iron Man. You're spot on. That's exactly what inspired them. Wake up, daddy show. Welcome home, sir. The possibilities here are endless. Sheffaly Sharma, one of the founders, even mentioned that this tech could be adapted for use in submarines or fighter jets in the future. For these guys, seeing this technology get into the hands of people who truly need it is the ultimate goal. Folly said it would be a dream come true to see Strider out there making a real difference. And it's not just the startup that's excited. Ewan Davies from defra, the UK Department for Environment, Florida Food and Rural affairs, mentioned in a statement that it's great to see these concepts rapidly turning into a highly capable and flexible platform. So, just like Figure is pushing the boundaries of what humanoid robots can do, Oxford Dynamics is showing us how AI and robotics can literally save lives by stepping into the most hazardous situations on Earth. It's a thrilling time for technology and it's going to be fascinating to see how both of these projects evolve in the near future. So, yeah, the competition is fierce, but with the kind of momentum Figure has, plus the backing of some of the biggest names in tech, they seem like they're in a really strong position to keep pushing forward. I can't wait to see what this figure 02 is really capable of when it's fully revealed. Alright, if you're interested in how AI and robotics are reshaping our world, make sure to stick around for more deep dives into the latest tech. If you've been feeling like your AI buddy's been acting a bit different lately, maybe quicker, sharper and just a tad smarter, you're not alone. OpenAI has been sneaky rolling out some major changes without a big announcement. But don't worry, I've got all the details you need to know right here. So let's talk about it. Last week I started noticing that ChatGPT felt different. It was like the responses were more on point, faster and just generally better. I wasn't the only one either. People all over social media were talking about how ChatGPT seemed to be upgraded, but here's the thing. What? OpenAI didn't say a word about it at first. It was all very hush hush until they finally dropped a little bombshell on us. OpenAI took to X to casually mention that they'd slipped in a new version of their GPT4O model into ChatGPT. So they just updated the model we've all been using without making a big deal about it. The message was simple. There's a new GPT4O model out in ChatGPT since last week. Hope you all are enjoying it. And check it out if you haven't watched, we think you'll like it. That's it? No fancy press release, no grand unveiling, Just a tweet. Typical OpenAI right now, if you're wondering what's so special about this new model, let's break it down. The updated version of GPT4O, which they're calling ChatGPT4O latest, is essentially a fine tuned and optimized version of what we had before. But here's where it gets interesting. While OpenAI hasn't spilled all the beans, there's a lot of speculation about what this new model actually is. Some people out there are thinking this might be part of a bigger strategy by OpenAI to release different sized models. Kind of like what Google and Anthropic are doing. There's been talk about a GPT4O large, and some think this latest update could be a stepping stone in that direction. But I'm not totally sold on that idea because let's be real, if it were a brand new model, they probably would have hyped it up a lot more. So what can this new model do? Well, from what I've seen and what others have reported, it's performing better on tasks that require complex reasoning and creativity. Like if you've been asking ChatGPT to help with coding or solve tricky problems, you might have noticed it's just a little bit sharper now. It's also faster, which is a nice bonus. But of course it's not perfect. There are still some weird quirks. For example, in one test, the model was asked to stack a book, nine eggs, a laptop, a bottle and a nail in a stable manner. The solution. And it suggested putting nine eggs on top of a bottle. I mean, come on, who does that? And then when it was asked how many Rs are in the word strawberry, it came back with two, which is definitely wrong. So yeah, there are still some bugs to work out, but overall the update is a step in the right direction. Now, talking about Strawberry, let's talk about something that's been generating a lot of hype. Project Strawberry. The idea behind Project Strawberry is that it could be a new post training method that boosts the model's reasoning skills. Some people are even saying that the improvements we're seeing in ChatGPT might be the first signs of this mysterious project in action. One of the coolest things about the new ChatGPT4O latest model is how it handles multi step reasoning. This basically means the AI isn't just jumping to conclusions, it's thinking things through step by step before it gives you an answer. That's a pretty big deal because it leads to more accurate and thoughtful responses, which is something we all want, right? The new model has already made waves in the AI community, especially in something called the LMSYS Leaderboard. Now, if you're not familiar with it, the LMSYS leaderboard is like the Olympics for AI models. They put different models head to head in all sorts of tasks. And the new ChatGPT4O latest model just crushed it. It scored a whopping 13.14 points, which is the highest score ever recorded on that leaderboard. This means it's outperforming some of the biggest names in the game, like Google, Anthropic and Meta. Now, if you're thinking, how do I get my hands on this new model? Well, it's super easy. OpenAI has already swapped out the old GPT4O with the new version in both the ChatGPT website and app. So all you have to do is fire up chatgpt and you're good to go. If you're on the free plan, you might hit some message limits. But for those of you who are on the plus plan, you, you can push the model to the limit and really see what it can do. But don't worry if you're not ready to shell out the $20 a month for the plus plan. You can still get a good feel for the new model before you hit those limits. And then if you run out of messages, you can switch over to GPT4O mini. It's not quite the same, but it's still pretty powerful. Also, one more really interesting thing is how OpenAI has been testing these updates. They've been sneaking experimental models into places like the LMSwise Chatbot arena or under random names, so people don't even realize they're testing new tech. The ChatGPT4O latest model, for example, was tested under the name Anonymous Chatbot and It got over 11,000 votes from users. That's a lot of people unknowingly helping out with the testing, which just goes to show how clever OpenAI's approach is. So what's next? Well, if this update is anything to go by, we can expect OpenAI to keep refining and improving ChatGPT. They're clearly focused on making it better at reasoning, creativity and all those tasks that require a bit more brainpower. And who knows, maybe we'll see even more of Project Strawberry in the future. Alright, now, I also want to talk about a new AI model that just came out, but it didn't really get the attention it deserves. This model, called Falcon Mamba 7B was released by the Technology Innovation Institute TII in Abu Dhabi. TII is known for working on cutting edge technologies like AI, quantum computing and robotics. And now they've dropped this new model. It's available on Hugging Face and it's an open source model, which is pretty cool. But what really sets it apart is the new architecture it's using. Most of us are familiar with Transformer models which have been dominating the AI scene for a while now. But Falcon Mamba 7B uses something different, called the Mamba State Space Language Model Architecture. This new approach is quickly becoming a solid alternative to those traditional Transformer models. Now, why is this important? Well, transformers are great, but they have some issues, especially when it comes to handling longer pieces of text. You see, transformers use an attention mechanism that looks at every word in a text and compares it to every other word to understand the context. But as the text gets longer, this process demands more and more computing power and memory. If you don't have the resources to keep up, the model slows down and struggles with longer text texts. This is where SSLM comes in. Unlike Transformers, SSLM doesn't just rely on comparing words to each other. Instead, it continuously updates a state as it processes the text. This means it can handle much longer sequences of text without needing a ton of extra memory or computing power. Now, Falcon Mamba 7B uses this SSLM architecture, which was originally developed by researchers at Carnegie Mellon and Princeton universities. What's cool about this model is that it can dynamically adjust its parameters based on the input, so it knows when to focus on certain parts of the text and when to ignore others. So how Does Falcon Mamba 7B stack up against the big players like Meta's Llama 38B, Llama 3.18B and Mistral 7B? Tii ran some tests and the results are pretty impressive in terms of how much text the model can handle. Falcon Mamba 7B can fit larger sequences than the transformer models using just a single 24 GB, a 10 GPU. This means it can theoretically handle infinite context length if you process the text token by token or in chunks. And again, Falcon Mamba 7B came out on top. It beat Mistral 7B's sliding window attention architecture by generating all tokens at a constant speed without any increase in memory usage. And that's a big deal for anyone working with large scale AI tasks because it means the model is both fast and efficient. Even when it comes to standard industry benchmarks, Falcon Mamba 7B holds its own. In tests like Arc truthful QA and GSM 8K, it outperformed or matched the top transformer models. Sure, there were a couple of benchmarks like MMLU and Heliswag, where it didn't quite take the lead, but it was still right up there with the best of them. But here's the thing. This is just the Beginning for Falcon Mamba 7B. Tchu has big plans to keep optimizing the model and expanding its capabilities. They're not just stopping at sslm, they're also pushing the limits of transformer models to keep driving innovation in AI. So if you're into AI or just curious about what the future holds, keep an eye on Falcon Mamba 7B. It's already making a name for itself, and with TII's continued efforts, it's only going to get better. Plus, with over 45 million downloads of their Falcon models, TII is proving that they're a major player in the AI world. Anthropic has just launched Claude 3.5 Sonnet, a new AI model that's being compared to OpenAI's GPT4O in terms of performance. They've also introduced some exciting new features, making Claude 3.5 Sonnet more skilled at understanding humor, handling complex workflows, and interpreting charts and graphs. Alright, so what's the deal with Claude 3.5 Sonnet? Well, it's Anthropic's newest AI model and it's already generating some pretty big hype in the AI world. But let's start with the basics. Claude 3.5 Sonnet is part of Anthropic's AI model lineup. They've got this whole naming system going on. Haiku for the smallest model, Sonnet for the middle one, and Opus for the top tier. It's a bit quirky, but hey, every AI company seems to have their own weird naming conventions there these days. Now Anthropic is claiming that Claude 3.5 Sonic can go toe to toe with or even outperform some of the heavy hitters in the AI world. We're talking about models like OpenAI's GPT4O and Google's Gemini 1.5. That's a pretty bold statement, right? Anthropic says that 3.5 Sonnet is actually better than their previous top model, Claude 3 Opus. And get this, it's apparently twice as fast. That's a huge deal when it comes to AI performance performance. Now Anthropic has released some benchmark scores and I've got to say they look pretty impressive. Claude 3.5 Sonnet outscored GPT4O, Gemini 1.5 Pro, and even Meta's Llama 3400B in most of the benchmarks they tested. And this includes areas like graduate level reasoning, undergraduate level knowledge and coding skills. But here's the thing, we always need to take these benchmark scores with a grain of salt. The AI world moves so fast that today's top performer could be old news tomorrow. Plus, companies can cherry pick the benchmarks that make them look good. So while these scores are definitely promising, we'll have to see how Claude 3.5 Sonnet performs in real world applications. Speaking of real world applications, let's talk about what this new model can actually do. According to anthropic, Claude 3.5 sonnet is much better at writing and translating code. It can handle complex, complex multi step workflows more efficiently. And here's a cool one. It's apparently way better at interpreting charts and graphs. But there's one improvement that I find particularly interesting. Anthropic says that this new Claude is better at understanding humor and can write in a more human like way. Now that's something I'd love to see in action. An AI assistant that can actually get your jokes and make you laugh. Oh, and here's a neat little tidbit. Claude 3.5 sonnet can apparently transcribe text from from images more accurately. That could be super useful for all sorts of applications, from digitizing old documents to helping with visual accessibility. Now, let's talk about availability. If you're itching to try out Claude 3.5 Sonnet, you're in luck. It's already available for free on Claude AI and the Claude iOS app. If you're a subscriber to Claude Pro or their team plans, you'll get higher usage limits. And for the developers out there, you can access it through Anthropic's API, Amazon Bedrock, and Google Cloud's Vertex AI. Also, Anthropic has set up a pretty affordable pricing model for this AI through Anthropic's API. It costs $3 per million input tokens and $15 per million output tokens. This basically means every time you feed information to the AI or get results back, you're using tokens. And these prices are quite competitive in the AI market. Another cool thing is the 200k token context window. This might sound technical, but it's actually really important. It means Claude can handle much larger chunks of information at once. So if you're working on a big project that involves a lot of data, Claude can process it all without getting overwhelmed. But Anthropic isn't just improving their AI model. They're also rolling out a new feature called Artifacts. And this is pretty cool, folks. Basically, it lets you see and interact with the results of your request to Claude right in the app. So if you ask Claude Claude to design something for you, you can now see what it looks like and even edit it right there. Think about it. If Claude writes an email for you, you can edit it directly in the Claude app instead of having to copy it to a text editor. It might seem like a small thing, but it's actually a really smart move. These AI tools need to evolve beyond just being chatbots, and features like Artifacts are a step in that direction. This Artifacts feature might be giving us a glimpse into Anthropic's long term vision for Claude. They've always said they're mainly focused on businesses, even though they've been hiring some big names from the consumer tech world. In their press release, they talked about turning Claude into a tool for companies to securely centralize their knowledge, documents and ongoing work in one shared space. That sounds less like a chatbot and more like a full fledged productivity platform, doesn't it? We might be looking at something that could compete with tools like Notion or Slack, but with Anthropic's powerful AI models at the core, that's a pretty exciting prospect. If you ask me. The pace of improvement in AI is just mind blowing. Anthropic launched Claude 3 Opus in March, saying it was as good as GPT4 and Gemini 1.0. Then OpenAI and Google released better versions of their models. And now, just a few months later, Anthropic is back with Claude 3.5 Sonnet. Now, I know Claude doesn't get as much attention as Gemini or ChatGPT, but but make no mistake, it's very much in the race and with improvements like these, it's definitely a contender to watch. Let's talk a bit more about some of the specific improvements in Claude 3.5 sonnet. Anthropic did an internal evaluation of what they call agentic coding. Basically, they tested how well the AI could fix bugs or add new features to an open source code base. When given a description of what needed to be done. Here you're going to see Claude edit the function file to fix the bottom and now Claude's going to rerun those tests. And the tests are passing. So now if we rerun the function look, our image no longer has that white background. Thanks Claude. Claude 3.5 Sonnet solved 64% of these problems, compared to only 38% for the previous model. That's a huge jump. Now let's address safety and privacy because these are huge concerns when it comes to AI. Anthropic says they've put clothes applaud 3.5 sonnet through rigorous testing and trained it to reduce misuse. They've even brought in external experts to evaluate the model's safety, including the UK's Artificial Intelligence Safety Institute. They've also incorporated feedback from outside experts to make sure their safety evaluations are robust and up to date. For example, they worked with child safety experts from an organization called Thorn to update their classifiers and fine tune their models. And here's some reassuring news for those concerned about data privacy. Anthropic says they don't train their generative models on user submitted data unless the user explicitly gives them permission to do so. That's a pretty strong stance on privacy in a world where data is often seen as the new gold. So what's on the horizon for Anthropic they're not taking a break anytime soon. Later this year, they plan to roll out Claude 3.5 haiku and Claude 3.5 opus complet.