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Explore top free AI materials, Xbox AI support, and the latest news in video and math AI research.

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Join our journey to the top free AI tools, groundbreaking TTS, Xbox AI support, and the latest findings in video and math AI research.

In today’s news-packed edition:

5 Million Milestone & Free AI Resources đźŽ‰: Discover cheat sheets, exclusive courses, and tools to elevate your AI skills!

OuteTTS: Voice AI Redefined đź”Š: Next-gen text-to-speech with voice cloning, on-device processing, and open licensing.

Microsoft’s AI-Powered Xbox Support 🎮: Instant virtual agent assistance for Xbox Insiders—AI at the heart of gaming support.

Video AI’s Understanding of Physics 🔬: How video models interpret color, size, and movement—new insights into model limitations.

DYNAMATH Benchmark Testing âž—: Revealing the challenges AI faces in mathematical reasoning and problem-solving.

5 Million Followers Celebration – Free AI Resources & Investment Opportunity

We’ve reached an incredible milestone — 5 million followers on LinkedIn! To celebrate, we’re sharing some of our best free AI resources with you, our amazing community:

🔹 Cheat Sheets đź“ť: Quick guides for simplifying complex AI topics.

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🔹 Top AI Tools ⚙️: Explore tools to boost productivity and streamline your projects.

At GenAI.Works, we’re more than a learning platform; we’re the largest AI education community, sometimes called “LinkedIn Learning for AI.”

Our Mission: Empower everyone in AI.

  • Users: Access top AI resources, connect with like-minded enthusiasts, boost productivity, and even monetize your skills.

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💼 Exciting News: For the first time, you can invest in GenAI.Works! We’re raising $5 million to expand our impact, build powerful tools, and continue delivering groundbreaking resources to our community.

🔊 OuteTTS: Revolutionizing Text-to-Speech Technology

Oute AI just released OuteTTS, a new text-to-speech model that completely rethinks how we turn text into natural-sounding speech.

It is redefining voice synthesis with a streamlined approach that treats voice generation more like text processing.

Key highlights:

  • Achieves state-of-the-art performance despite its compact size

  • Voice cloning capabilities from just seconds of audio

  • On-device processing capabilities

  • Open license for developer experimentation

This development could democratize voice AI technology across industries, from accessibility tools to entertainment.

Microsoft’s AI-Powered Xbox Support 🎮

Microsoft has made a strategic move in gaming support by introducing an AI-powered virtual agent exclusively for Xbox Insiders in the US.

Instead of waiting for human support, players can now get instant answers to common gaming issues through text or voice chat.

It shows Microsoft is serious about bringing AI to gaming beyond just developer tools, context and resolve real gaming issues showcases Microsoft's vision of AI-enhanced gaming ecosystems, potentially setting new standards for customer support in the gaming industry.

New Research: Video AI's Physics Understanding

Recent research has unveiled fascinating insights into how video AI models interpret and predict physical phenomena.

The researchers discovered a clear hierarchy in how models process visual information, prioritizing color over size, velocity, and shape.

This limitation becomes particularly evident when models face novel situations outside their training experience, raising important questions about the path toward achieving genuine physical understanding in AI systems.

Key findings:

  • Video AI models are great at handling scenarios similar to what they've seen before

  • However, they struggle when faced with new situations outside their training experience

  • The models don't actually learn universal physics rules - instead, they match new situations to similar examples they've seen before

  • When making predictions, these models prioritize visual features in this order: color > size > velocity > shape

DYNAMATH: Testing AI's Mathematical Reasoning

A groundbreaking study using the DYNAMATH benchmark has revealed significant limitations in how current AI models approach mathematical reasoning.

The research tested leading models, including GPT-4V and Claude 3, on their ability to solve variations of mathematical problems.

Key insights:

  • The best models saw their accuracy drop by nearly 50% when tested on variations of the same problem

  • Models sometimes gave consistently wrong answers even for simple problems with slight modifications

  • More complex isn't always harder - models sometimes failed on simpler variations while solving tougher ones

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