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AI Powerhouses Clash: OpenAI vs. Google's PaLM 2, Artists vs. Algorithms, and Amazon's Rosie Rival

The AI race intensifies with groundbreaking technologies, legal disputes, and the quest for the ultimate home robot

What's up ya'll, this is AIdeations. The go-to newsletter that takes AI and tech news that slaps and turns it into a no-bs, fun email for you each day.

The race is heating up. OpenAI has been slow to release their plugins and web browsing capabilities. That is until the Google I/O event essentially forced their hand. This week, OpenAI is giving beta access to every plus subscriber. I’ve been dying and waiting since day one to get access while watching developers around me share what they have been creating with these amazing tools and add-ons to ChatGPT. I got access this past Thursday and have been diving in ever since. I can’t wait to share what I’m doing with these tools and I am even working on projects building plugins for myself and eventually other businesses. If you’ve got a plugin idea for your business and need help implementing it, I’d love to hear about it. I may just even build it for you. Shoot me your ideas at [email protected]

Here's what we've got in store for you today:

🦾 Googles PaLM 2 vs GPT4 - Who wins?

♟️ AI vs. Artists: Who Will Win?

🤖 Amazon is Working on its very own Rosie

📰 News From The Front Lines

📚 Research Of The Day

🎥 Video Of The Day

🛠 Tools Of The Day

AI Supremacy: Google’s PaLM 2 Takes on OpenAI’s GPT-4

In the latest turn of the AI race, Google has unveiled PaLM 2, its answer to OpenAI's GPT-4. As an advanced language model, it's designed to be a powerhouse in coding, translating, and even reasoning. This innovation was announced at the Google I/O conference in Mountain View, California, where the tech giant revealed that 25 of its products, including the conversational AI assistant Bard, are already benefiting from the capabilities of PaLM 2.

PaLM 2, standing for Pathways Language Model 2, is the successor to the original PaLM released in April 2022. It's constructed to elevate multilingualism, cognition, and coding capabilities. Google promises that PaLM 2 can perform tasks involving "reasoning", code generation, and translation in over 100 languages. The model is available in four sizes, with the smallest, Gecko, being mobile-friendly. However, it's important to take note that the model's performance, compared to GPT-4 and Bing, has shown some discrepancies, particularly in informal language tests, which suggests that the true capabilities of PaLM 2 might not completely align with Google's claims.

The real question that stands out is the size of PaLM 2 in terms of parameter count, a detail that Google has been silent about. Parameters essentially equate to more complexity, and while they don't guarantee effective utilization, they do serve as an indication of the model's potential power. As AI models transition from being research tools to actual products, concerns about transparency are growing. Notably, Google's training data for PaLM 2, an important detail that significantly influences the AI model's output, remains undisclosed. This secrecy has drawn criticism, especially since the training data reportedly includes copyrighted information used without permission and potentially harmful material collected from the Internet.

In the end, it's clear that the AI race is far from over. With Google's introduction of another multimodal AI model named "Gemini" and the ongoing global rollout of PaLM 2, it seems that the battle for AI supremacy is only heating up.

AI on Trial: Artists Fight Back in Groundbreaking Copyright Lawsuit

AI is shaking up the art world, and not everyone's happy about it. Tech titans Midjourney and Stability AI have been in hot water for launching AI image generators that create artwork using billions of images, often without the artists' consent. This new creative tech frontier has sparked a copyright controversy, leading to a class action lawsuit led by digital artists. With Mike Winkelmann aka Beeple, the face of the NFT movement, shrugging it off as business as usual, the scene is set for a showdown between human creators and artificial intelligence.

The crux of the lawsuit? The artists argue these AI tools are creating derivative works, infringing copyright laws. In the balance hangs the fate of countless digital artists whose livelihoods are threatened by these AI image generators. But with the US Copyright Office ruling AI-generated works ineligible for copyright, the stakes are high. The outcome could redefine how we understand and protect artistic creations in the digital age, making this a landmark case to watch.

Read More:

Move Over Jetsons, Amazon is Secretly Working on the Ultimate Home Robot

Amazon's got a secret up its sleeve: Project Burnham, an advanced AI system designed to bring its home robot, Astro, closer to the Rosie the Robot ideal we all grew up dreaming of. According to Insider, this new upgrade will equip Astro with a conversational interface and a hefty dose of intelligence, enabling it to understand the complexities of a busy household. How? By using large language models and other AI tech to "remember" and respond to what it sees, Astro can actively engage in Q&A dialogues and act based on its observations.

The juicier part? Astro could potentially spot and solve problems around the house. Documents depict a Burnham-powered Astro spotting a stove left on or a faucet running, and alerting the owner. It could even find your misplaced keys, check if a window was left open, or monitor kids' after-school activities. Most impressive, though, is its ability to identify hazards like broken glass on the floor and prioritize cleaning it up. This is what Amazon dubs "Contextual Understanding." But curb your excitement, folks. Burnham's still in the works and it's going to take a while before this smart upgrade hits the market. And, with the price of the current Astro model hitting $1,600, it's clear that intelligent, problem-solving robots aren't coming cheap.

 📰 News From The Front Lines: 📰

📚 RESEARCH 📚

Scientists and engineers have been studying how computers can understand hand movements for a long time. Usually, they use cameras to take pictures of people's hands and analyze the images. But now, there is a need for a different kind of technology. People want computers that can recognize hand gestures using less power and fewer sensors. In this study, researchers developed a system that uses special sensors in a hand controller called etee. These sensors can measure signals from each finger in real-time. The researchers used a type of computer program called machine learning to analyze the signals and identify different hand gestures within a short time. They found that their system worked just as well as more advanced methods. They also added a feature that helps the system learn from mistakes and improve its performance. The system is very fast and small, showing that this kind of technology is possible for gesture recognition.

 📼 Video Of The Day 📼

🛠️ Tools Of The Day 🛠️

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