AI giants stolen training data revealed

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Welcome, AI enthusiasts.

YouTube’s vast library just became an unexpected training ground for AI giants — with the content’s creators left completely at the hours of darkness.

With the gold rush for data continuing to grow, has the AI revolution made every part fair game, or is a digital rights reckoning approaching? Let’s investigate…

In today’s AI rundown:

  • Report: AI trained on YouTube without consent

  • OpenAI founding member pivots to AI education

  • Bring your images to life with Motion

  • Mistral releases latest open-source models

  • 6 latest AI tools & 4 latest AI jobs

  • More AI & tech news

Read time: 4 minutes

LATEST DEVELOPMENTS

OPENAI

🔎AI trained on YouTube without consent

Image source: Midjourney

The Rundown: A brand new investigation by Proof News just revealed that tech giants including Apple, Anthropic, Nvidia, and Salesforce used content from over 170,000 YouTube videos to coach their AI models without creators’ consent.

The main points:

  • The dataset, called “YouTube Subtitles”, incorporates transcripts from over 48,000 channels, including popular creators, news outlets, learning channels and more.

  • Nonprofit EleutherAI compiled the information as part of a bigger collection called ‘The Pile’, intended to offer training materials for developers and academics.

  • Creators were unaware their content had been used for AI training purposes, with YouTube’s ToS also prohibiting the use without permission.

  • Apple reportedly used the dataset to coach OpenELM, a model related to latest AI features for iPhones and MacBooks.

Why it matters: While using these transcripts isn’t going to create one of the best vibes with creators — we’ve yet to see many legal ramifications for firms in these cases. With this dataset also being public through EleutherAI, its hard to see anything apart from bad PR coming from this report, despite the moral/moral implications it raises.

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ANDREJ KARPATHY

📚 OpenAI founding member pivots to AI education

Image source: Eureka Labs (@EurekaLabsAI) on X

The Rundown: OpenAI founding member and former Tesla Director of AI Andrej Karpathy just announced the launch of Eureka Labs, a brand new AI-integrated education platform — coming just months after his departure from OpenAI.

The main points:

  • Karpathy’s post calls Eureka Labs an “AI-native” school, leveraging advanced AI to reinforce the training experience.

  • Its first offering, LLM101n, is an undergraduate-level course teaching students to coach their very own AI models.

  • The platform combines human expertise with AI teaching assistants to guide students, with plans to supply each digital and physical cohorts.

  • Karpathy announced his departure from OpenAI in February to pursue personal projects, and has since been posting educational AI videos on YouTube during the last 12 months.

Why it matters: From hyper-personalized learning to advanced, on-demand AI tutors, education is about to be massively reshaped in the approaching years—and the sector just gained one of the crucial well-respected scientists in the sector to assist paved the way.

AI TRAINING

🎭 Bring your images to life with Motion

The Rundown: Leonardo AI’s latest ‘Motion‘ feature allows users to show static images into charming short animations for social media, website design, digital artists, and more.

Step-by-step:

  1. Enroll on Leonardo AI’s website (free account includes 150 each day credits).

  2. From the important dashboard, click on “Motion” in the highest menu.

  3. Select a picture to animate and adjust the Motion Strength slider.

  4. Click “Generate” and take a look at your animated creation!

Get more AI tutorials →

AI RESEARCH

🚀Mistral releases latest open-source models

Image source: Mistral

The Rundown: Mistral AI just launched Codestral Mamba and Mathstral, two latest small, specialized language models that achieve state-of-the-art performance for open-source models on key benchmarks.

The main points:

  • Codestral Mamba is a 7B model offering fast inference and advanced coding capabilities that surpass open-source rivals like CodeGemma and CodeLlama.

  • The model can handle context lengths as much as 256k tokens (doubling GPT4o), making it ideal for giant, complex coding tasks and native development.

  • Mathstral, also a 7B parameter model, achieves SOTA performance on math reasoning benchmarks like MATH (56.6%) and MMLU (63.47%).

  • Each were released under the Apache 2.0 license, allowing totally free use, modification, and distribution — and available via Mistral’s API and Hugging Face.

Why it matters: Mistral continues to shake up the AI landscape with revolutionary approaches — and with these specialized models, they join other rivals in demonstrating that larger AI systems aren’t at all times higher. In the long run, every sector will likely have a hyper-specific, highly-capable open-source model of its own.

NEW TOOLS & JOBS

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The UK’s Competition and Markets Authoritylaunched a proper probe into Microsoft’s hiring of former Inflection AI staff, mirroring an identical investigation by the US Federal Trade Commission.

Visual AI startup Haiper released Haiper 1.5, a brand new video generation model that doubles the platform’s output length to eight seconds and introduces latest HD upscaling, realism, and image generation features.

Anthropic announced the discharge of an Android app for Claude, now available to mobile users within the Google Play store.

OpenAIposted latest examples of its Sora video generation model on the corporate’s Instagram page, saying the tool is slowly being expanded to more creatives for testing.

Cohere is partnering with Japanese tech giant Fujitsu to develop ‘Takane’, a complicated Japanese language AI model for enterprise use based on Cohere’s Command R+, set to launch in September 2024.

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