AI Shocks Again: Claude & Alexa, Smarter Robots, OpenAI ASI, Llama 3.2 & More (September News)

So AI has made some major moves this month and you're about to find out why. From Alexa turning into Claude AI to Google's deep Mind AI accomplishing in minutes what used to take scientists years and a robot that gets smarter with every move it makes, AI is moving fast. OpenAI's latest creations, like the early launch of Strawberry and the powerful GPT Next, have left everyone speechless. We're also seeing new AI tools like Snap's AI powered video generator and glasses, while Isaac, a learning personal robot, is raising the bar. Plus Sam Altman's next big AI device, Google's mistake fixing AI, and the latest competition between Llama 3.2 and OpenAI's models. So get ready for the full breakdown. Amazon is making a major change to Alexa, replacing its own AI with Anthropic's AI model Claude. The new remarkable Alexa promises more advanced natural conversations, but it also comes with a few surprises. Is this the next big step for smart assistants or is Amazon taking a gamble with this move? Let's discuss and find out in today's video. Alright, so Amazon has been working on this upgraded Alexa internally. They're calling it Remarkable Alexa or Project Banyan for a while now and and originally they were using their own AI technology for it, but apparently things didn't go so well in the testing phase. According to Reuters, Amazon's in house AI was having a lot of trouble responding quickly to user prompts. I mean we're talking about a lag of up to six or seven seconds sometimes and in today's fast paced world where we're all used to instant responses, think ChatGPT or Google Assistant. That's just not gonna cut it. So Amazon decided to switch Gears and use AI models from Anthropic, a San Francisco based AI research company that was actually founded by ex OpenAI folks. Anthropic has been making waves with its AI models, especially their Claude model, which is pretty good at understanding context and maintaining more natural human like conversations. And apparently it performed way better than Amazon's own AI in those crucial tests. Amazon has invested a whopping $4 billion in anthropic, which might explain why they're leaning on Claude's tech for this new Alexa. Alright, so let's talk about what this new remarkable Alexa is actually going to do. Amazon is saying this upgraded version is going to be a lot more advanced than what we've got right now. The idea is that you'll be able to have more complex and context aware conversations with Alexa. For example, you might ask it for shopping Advice like what clothes you should pack for a beach vacation in Bali or to aggregate news stories based on specific interests. Also, Alexa will be able to handle more complex multi step tasks from a single prompt. Like if you say Alexa, order me a pizza, draft an email to my boss, and set up a reminder for my dentist appointment. It will all be done. But here's the catch. Amazon plans to offer this upgraded Alexa as a paid subscription service. So unlike the classic Alexa that we've been using for free, the remarkable Alexa is going to cost somewhere between $5 to $10 a month. And just to be clear, this won't be part of your Amazon prime subscription. So it'll be an extra cost. On top of that, Amazon is betting that these new AI driven features will be worth the price tag. But it's definitely a G. I mean, asking people to pay for something that's been free all along is always a tricky move. Some folks inside Amazon are even skeptical that customers will go for it, especially since many are already shelling out $139 a year for Prime. So why is Amazon doing this now? Well, it all comes down to money and competition. Despite Alexa being super popular, Amazon says They've sold over 500 million Alexa enabled devices. The voice assistant division hasn't been making as much money as Amazon would like. The company's leadership has been pushing hard for Alexa to start generating more revenue, and they see 2024 as a crucial year to prove Alexa's worth in the market. The idea here is that by offering a more advanced paid version of Alexa, Amazon can start turning it from a cost center, basically something that costs more money to maintain than it brings in, into a revenue generating machine. And with around 100 million active Alexa users, if even 10% of them decide to go for the paid version, that could mean at least $600 million in annual revenue, assuming they go with the lower end of the price range. Now, this move to partner with Anthropic is pretty interesting because it marks a bit of a shift in strategy for Amazon. Typically, Amazon likes to build its own tech from the ground up, which gives them full control over the user experience, data collection and all that good stuff. But with the rise of other tech giants like Microsoft and Apple partnering up with OpenAI to integrate ChatGPT into their products, Amazon probably felt the heat and realized they needed to step up their game to keep up. And it's not just about keeping up appearances. The AI race is heating up and companies are scrambling to offer the most advanced, most intuitive, and frankly most human like AI assistance out there. The release of ChatGPT last year really shook things up, showing that people want AI that can handle more natural, flowing conversations, not just simple commands. So Amazon, like many others, is trying to make sure they're not left behind. So what else can we expect from this new Alexa? For starters, it sounds like it's going to be much better at integrating with other smart home devices and remembering user preferences. Think of it as your personal butler who knows all your quirks and habits. Maybe you like your lights dimmed to a certain level at night, or. Or you always want the coffee maker to start brewing at 7am sharp. This new Alexa should be able to handle all that seamlessly. And for those of you with kids, there's talk that the new AI could be tailored to offer special interactions with children. It will be able to engage with your kids in a more meaningful way, maybe helping them with homework, playing educational games, or even telling bedtime stories that are a little more interactive than what we've seen before. But some people are a bit worried about what this means for privacy and data collection. By moving to a more advanced AI model and potentially handling more sensitive information, there are definitely some concerns about how that data will be used, stored, or potentially shared. Amazon hasn't gone into detail about how they'll handle these concerns, but it's definitely something to keep an eye on. Now, Alexa isn't the only AI project Amazon has been working on. They've also been doing some interesting stuff with an internal AI assistant called Amazon Q. And if you haven't heard much about this one, it's because it's more of an internal tool that's being used to streamline software development across the company. But get this, Amazon Q has reportedly saved the company $260 million and 4,500 developer years. How did it do that? Well, by automating a lot of the repetitive processes that normally take developers a ton of time. For example, something like upgrading a system to a new version of Java used to take 50, 50 development days. Now it takes just a few hours. That's a huge boost in productivity and efficiency, freeing up developers to work on more complex creative tasks. And if that wasn't enough, Amazon is also making moves in AI robotics. They recently hired the founders of a robotics startup called Covariant, which is working on some pretty advanced stuff, like robotic arms that can perform common warehouse tasks. The cool part here is that Covariant is developing what they call a large language model for robots. Essentially, they're teaching robots how to understand and execute commands in a way that's more intuitive and less mechanical. Amazon's been bringing in some serious brainpower to help push this forward, including the founders of Covariant, who are now part of the Amazon team, along with about a quarter of Covariant's employees. They're integrating this tech into Amazon's existing robot fleet, which should make their warehouse operations even more efficient. So it's clear that Amazon is doubling down on AI across the board. From improving Alexa with Anthropic's Claude AI to enhancing their internal processes with Amazon Q and even stepping up their robotics game. It's all about leveraging AI to make their services smarter, faster and more integrated. But it also means that we as consumers are going to see more AI in our everyday lives, whether that's through smarter voice assistants, more automated homes, or even just better, faster services from companies like Amazon. It's an exciting time for tech, but it's also a time to stay informed and aware of how these technologies are developing and what they mean for our privacy, our jobs and our daily routines. So what do you guys think? Would you be willing to pay extra for a more advanced version of Alexa? Or do you think Amazon should just keep it free and find other ways to monetize it? It? What if AI could not only predict how proteins interact, but actually create new ones to fight diseases like C19 or cancer? In this video, we're exploring two groundbreaking AI models, Alpha Proteo and Orb, that are reshaping everything from drug discovery to material science. And before we get started, take a second to subscribe and stay ahead of the curve on all the latest AI trends and updates. Alright? You know how proteins are like the workhorses of our bodies, right? They do everything from helping our cells grow to keeping our immune systems running smoothly. And of course, they're at the core of pretty much every biological process. But here's the catch. These proteins don't just do their jobs in isolation. They interact with other proteins. Think of it like a key fitting into a lock. One protein binds to another, and that's how all these critical functions happen inside our cells. Now, thanks to things like AlphaFold, we already have a pretty solid understanding of how proteins interact. And AlphaFold helps us predict what these interactions look like, which has been huge for science. But here's the kicker. While AlphaFold is awesome at figuring out how proteins connect, it doesn't create new proteins that could manipulate or influence these interactions. And that's where the real magic comes in, guys. Enter Alpha Proteo. By Google DeepMind. This is the new AI system we're talking about today. It doesn't just predict interactions. It designs entirely new proteins that can bind to specific target molecules. And why is that important? Well, these designed proteins, also called binders, can speed up all sorts of research, from drug discovery to figuring out how diseases work, to making crops more resistant to pests. Now, let's break this down. When you want to create a protein that binds tightly to a target, like say a virus protein that causes C19, it's not easy. Traditional methods are super slow. You have to create binders in the lab and test them, optimize them, then test them again. It's like an endless cycle of trial and error, which, as you can guess, takes forever. But with Alpha Proteo, we're talking about a major shortcut. This AI system has been trained on a ton of protein data. We're talking about data from the Protein Data bank and more than 100 million predicted structures from AlphaFold. So, yeah, it's learned a thing or two about how proteins interact. Now, if you give Alpha Proteo the structure of a target protein and, and tell it where you want the protein to bind, it can design a binder protein that fits that target almost perfectly. That's like handing it the blueprint for a lock and having it design the perfect key. And it works on all kinds of proteins. Cancer related proteins, proteins from viruses like SARS, CoV2. Yes, the one involved in the lockdown era, the C19, and even proteins tied to autoimmune diseases. So far, the results are pretty mind blowing.