Welcome to this week's episode of AI News of the Week! I’m Jonathan Green, host of the Artificial Intelligence Podcast. If this is your first time here, welcome. My goal is to cover news relevant to business owners and entrepreneurs without the hype. I sift through hundreds of news stories to find the eight that matter to your business this week.
Let’s dive into the details.
Anthropic has released their latest AI model. The new model outperforms their Claude 3 level and offers exciting capabilities. Later this year, they plan to release Claude 3.5 “Haiku” in Opus. The 3.5 model, called "Sonid," is already receiving positive reviews. Both free and paid users of Claude get access to the 3.5 model, but paid users benefit from more answers daily. This new version is faster and more adept, particularly in coding across multiple languages.
Anthropic has also introduced a new tool called Artifacts. This tool transitions Claude from being just a conversational AI to a collaborative one, allowing multiple users to work on a program simultaneously. Users can now publish and share these Artifacts, leading to a rise in collaborative innovation. This feature could potentially place Claude ahead of ChatGPT in the competition.
Anthropic has finally released the Claude app for the Google Play Store. This is a significant development for those who don't use an iPhone. However, Claude has been region-selective, making it harder for some users to access. The democratization of AI tools is crucial, and Anthropic’s geo-locking practices might need a rethink.
Apple has reportedly trained their AI models using YouTube data without permission. This raises ethical concerns similar to those seen with Google's use of Reddit data. The discussion revolves around the ownership of personal information when it’s used to train AI. This topic is likely to be decided in the courts, paralleling debates about paparazzi laws and personal privacy.
A new act in front of Congress called the Copied Act aims to make it illegal to remove digital watermarks from AI-generated content. The idea is to help trace the origin of these images, although its effectiveness is debatable. This proposed legislation points to a broader issue: the inconsistency in how AI content and training data are currently managed and regulated.
There’s growing evidence that many AI benchmarks and leaderboards are close to meaningless. These tests often recycle the same questions and answers, which may not be useful in real-world applications. It’s more important to evaluate AI based on your specific needs rather than general benchmarks.
Hugging Face has released a new small LM model that can run directly on a mobile phone without needing the cloud. This development is a game-changer, allowing for AI functionality without internet access. Although it compares to older AI models, the idea that you can have a relatively smart AI on your phone is exciting.
Mistral has released Kestrel Mamba, an open-source AI coding assistant. This model, smaller yet highly specialized, supports coding with 7 billion parameters, making it robust for its purpose. It has a large context window and is open-source, challenging paid models and keeping the competition fair.
That wraps up your AI news of the week from Serv No Master. Are you excited about AI apps on your phone? Do you prefer AI that works offline or a more sophisticated model connected to the cloud? Let me know your thoughts in the comments. And as always, I appreciate your support—make sure to like, subscribe, and hit the bell for notifications on new videos.
Q1: What is the latest AI model released by Anthropic?
A1: Anthropic has released a new model called Claude 3.5 “Sonid,” which outperforms their Claude 3 level.
Q2: What is the Artifacts tool introduced by Anthropic?
A2: Artifacts is a collaborative tool that allows multiple users to work on a program together and share their creations.
Q3: Is the Claude app available for Android users?
A3: Yes, the Claude app is now available on the Google Play Store.
Q4: What ethical concerns have been raised about AI data training?
A4: Apple and other companies have trained their AI models using data from platforms like YouTube and Reddit without permission, raising issues about data ownership and privacy.
Q5: What is the Copied Act?
A5: The Copied Act is a proposed legislation in Congress that aims to make it illegal to remove digital watermarks from AI-generated content.
Q6: Why are AI benchmarks considered questionable?
A6: Many AI benchmarks use recycled questions and answers, which might not reflect the real-world performance of AI models.
Q7: What is noteworthy about the AI model released by Hugging Face?
A7: Hugging Face has released a small LM model that can run directly on mobile phones without needing internet access.
Q8: What makes Mistral's Kestrel Mamba significant?
A8: Kestrel Mamba is an open-source AI coding assistant with a large context window, supporting extensive coding tasks and challenging paid models.
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