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Welcome Humans🤖, here`s what we have today:

Today`s Pick

• MIT develops a Wood using AI to have wooden materials without clearing the forest and in the Lab.

• Google isrolling out access to Vids, an AI-powered video creation app designed for work and deeply integrated with the Workspace allowing users to build their narratives using high-quality templates or leverage Gemini.

• Google Chief Scientist Jeff Dean: AI needs ‘algorithmic breakthroughs,’ and AI is not to blame for the brunt of data center emissions increase

• Anthropic announced the release of an Android app for Claude, now available to mobile users in the Google Play store.

• Tinder launched AI-Powered “Photo Selector” to help users choose the best photos for their dating profiles leverages facial detection technology.

• Meta and Ray-Ban say the latest model of their AI-powered smart glasses is catching on. They’ve sold more units in two months than they did over the past two years.

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YOUTUBE

📺 Tech giants allegedly used YouTube for AI training

Apple, Nvidia, Salesforce and Anthropic reportedly used thousands of YouTube videos without permission to train their AI models. A new investigation by Proof News revealed tech giants used content to train their AI models without creators‘ consent.

The Details 📊

• The companies allegedly used a dataset called "YouTube Subtitles” containing over subtitles from 173,000 YouTube videos from more than 48,000 channels, according to investigation.

• Dataset includes videos from popular channels across various genres like educational channels like MIT, Harvard and Khan Academy.

• Content from MrBeast (Two Videos), Marques Brownlee (Seven Videos), PewDiePie (337 Videos) were also found to be used for training large language models and multimodal AI systems.

• YouTube's terms of service prohibit downloading or copying content without permission and this accusations raises concerns about copyright infringement and data privacy

• Incident highlights ongoing debates about fair use and AI training data ethics

• Could potentially lead to legal challenges and policy changes in AI development

Why It Matters: This revelation underscores the ethical and legal challenges in AI development, particularly regarding data sourcing and intellectual property rights. It may prompt increased scrutiny of AI training practices and potentially influence future regulations in the field.

Next in AI

🖥️ Mistral launched specialized AI models for faster Code

French AI startup Mistral launched two new small, specialized language models: Codestral Mamba 7B and Mathstral 7B.

The Details 📊

• Codestral Mamba 7B:

  • Based on Mamba architecture for faster responses and longer context windows

  • Tested with inputs up to 256,000 tokens doubling GPT4o), making it ideal for large, complex coding tasks and local development.

  • Outperformed CodeLlama 7B and DeepSeek in HumanEval tests

  • Available under Apache 2.0 license on GitHub and HuggingFace

• Mathstral 7B:

  • Designed for math reasoning and scientific discovery

  • SOTA performance on math reasoning benchmarks like MATH (56.6%) and MMLU (63.47%).

  • Features 32K context window

  • Excels in math-related benchmarks

  • Developed in Collaboration with Project Numina

• Both models accessible through Mistral's la Plateforme and HuggingFace

• Mistral recently raised $640 million in series B funding, valued at nearly $6 billion

Why It Matters:Mistral's specialized models demonstrate the trend towards purpose-built AI solutions, potentially enhancing productivity in coding and scientific research. The company's open-source approach and competitive performance challenge established AI giants, driving innovation in the field.

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