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- ⚡🔋Bluesky's Open API Allows Third Parties to Harvest User Data for AI
⚡🔋Bluesky's Open API Allows Third Parties to Harvest User Data for AI
And more: Google Launches London AI Campus to Train Future Talent ; Pocket FM Leverages AI to Expand Audio Content Catalog
Supercharged With AI
November 28, 2024
Good morning aspiring leaders of the next gen!☀️
🚀 Here are the latest AI news in a nutshell. Step right up for today's tech sideshow!
Bluesky's open API leaking data like a sieve. AI trainers' all-you-can-eat buffet! 🍽️📊
Google launches London AI Campus. Silicon Valley gets a British accent! 🇬🇧💻
Musk's AI company teasing consumer app. X marks the AI spot! 📱🎯
ElevenLabs challenges NotebookLM with podcast AI. Audio wars heat up! 🎙️⚔️
OpenAI trademarking o1 'reasoning' models. Claiming dibs on digital smarts! ™️🧠
AI invading the kitchen. Digital chefs cooking up chaos! 👩🍳🤖
Gemini's Imagen 3 turns chess pieces artsy. Pawns getting a makeover! ♟️🎨
Alibaba drops o1 challenger. East meets West in AI showdown! 🇨🇳⚡
Ai2 releases Llama competitors. Language model zoo gets crowded! 🦙✨
Decentraland 2.0 is now live
Decentraland is a virtual social world where you can meet new friends, join events, and make memories—no matter where you are. Whether exploring the open, community-built landscape, partying on the dancefloor, or watching a binary sunset on the beach, Decentraland is where people from everywhere come together.
Bluesky’s open API means anyone can scrape your data for AI training
A recent incident has highlighted significant privacy implications for users of the social network Bluesky, as its open API structure potentially allows third parties to harvest user data for AI training purposes. While Bluesky itself isn't training AI systems on user content, its open architecture creates opportunities for others to do so without user consent.
Data Access and Privacy Implications
The issue came to light when Daniel van Strien, a machine learning librarian at Hugging Face, successfully extracted one million public posts from Bluesky through its Firehose API for machine learning research. Though van Strien later removed the dataset following public controversy, the incident demonstrates the vulnerability of public posts to large-scale data collection.
Bluesky's architecture fundamentally differs from other social networks in its approach to data access. The platform's open API structure, while promoting transparency and interoperability, also creates potential privacy concerns. Any third party can potentially access and collect public posts for various purposes, including AI training, without explicit user consent.
The company has acknowledged these concerns and is exploring ways to enable users to communicate their consent preferences to external parties. However, Bluesky admits it cannot enforce these preferences outside its own systems, stating that compliance would ultimately depend on outside developers' willingness to respect user settings.
Broader Industry Context
This situation reflects a growing tension in social media between open architecture principles and user privacy protection. As AI training becomes increasingly dependent on large datasets, social media platforms face mounting pressure to balance accessibility with user privacy concerns.
The incident raises important questions about the future of social media data usage in AI development. While open APIs promote innovation and transparency, they also create potential vulnerabilities in user data protection. This challenge is particularly relevant as Bluesky continues to gain popularity and faces increased scrutiny from privacy advocates and users alike.
Bluesky's response to this situation could set important precedents for how social platforms handle AI data collection. The company's efforts to develop consent mechanisms, even if not technically enforceable, represent an acknowledgment of user privacy concerns and an attempt to establish ethical guidelines for data usage.
This development comes at a crucial time when social media platforms are under increasing pressure to protect user data while maintaining the benefits of open systems. The challenge of balancing these competing interests will likely influence future platform design and data protection policies across the industry.
The situation highlights the need for clearer industry standards regarding AI training data collection from social media platforms. As more organizations seek to leverage public data for AI development, the importance of user consent and data protection becomes increasingly critical.
Looking ahead, this incident may prompt other social platforms to reassess their API policies and data protection measures. The challenge of maintaining an open, interoperable system while protecting user privacy could shape the future development of social media platforms and their relationship with AI technology.
As Bluesky continues to grow and face increased scrutiny, its handling of these privacy concerns could influence broader industry practices regarding data collection and AI training. The platform's efforts to address these issues while maintaining its commitment to openness may serve as a model for future social media development.
Google launches the London AI Campus
Google has launched its London AI Campus, an educational pilot program in Camden aimed at supporting the next generation of AI talent. The initiative, opened with UK Prime Minister Sir Keir Starmer present, includes a two-year program offering AI and machine learning resources to local sixth form students, with preference given to underrepresented groups. Google.org is also providing £865,000 to the Raspberry Pi Foundation to expand its Experience AI program, aiming to reach 250,000 additional students by 2026. The campus will open to broader Camden student body in mid-2025, offering digital learning and AI masterclasses as part of Google's wider effort to train people across the UK in digital and AI skills.
Elon Musk’s AI company may release a consumer app
Elon Musk's xAI is reportedly planning to release a standalone consumer app similar to ChatGPT, featuring its Grok chatbot. The app is expected to launch after xAI completes its upcoming funding round, which could raise $5 billion at a $50 billion valuation - double its value from six months ago. Musk has reportedly offered up to 25% of xAI shares to investors who backed his Twitter acquisition, potentially making investors like Fidelity, Larry Ellison, and Jack Dorsey whole through these shares. The funding round would bring xAI's total raised to about $11 billion.
📔#1 Insights Today on AI. Click the Links to Read
Llama
🎙️ 📝 ElevenLabs' new feature is a NotebookLM competitor for creating GenAI podcasts
🤖 ™️ OpenAI moves to trademark its o1 'reasoning' models
👨🍳 🤖 This Week in AI: AI gets creative in the kitchen
♟️ 🎨 Google Gemini's Imagen 3 lets players design their own chess pieces
🏢 🧠 Alibaba releases an 'open' challenger to OpenAI's o1 reasoning model
🤖 💭 Ai2 releases new language models competitive with Meta's Llama
💰💼 Which Interactive AI Workshop Would You Like to Join? Join us for a hands-on session where you'll learn to implement AI tools in your businessWould you join us for a hands-on session where you'll learn to implement AI tools in your business? |
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Do you have a business problem keeping you up at night? Here’s your chance to get it solved! Share your most staggering challenges with us, and I’ll use the power of AI to find solutions tailored just for you. I’ll feature the answers in one of our upcoming Supercharged issues—let’s tackle it together!
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AI is not just about teaching machines to learn; it's about understanding learning itself. As we develop AI systems, we gain deeper insights into how knowledge is acquired, structured, and applied across different types of intelligence.
Hanna Wallach is a computational social scientist and partner research manager at Microsoft Research.
🎓 Which platform or focus would you like us to prioritize during the AI Mastery Series workshop?AI Mastery Series: Help Us Tailor the Workshop for You! |
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⬆️ ️ Trends: How Businesses Implement AI
Pocket FM Harnesses AI to Scale Its Audio Content Empire
Despite boasting over 200,000 hours of content, India-based audio platform Pocket FM isn't satisfied. The company is now turning to artificial intelligence to dramatically expand its content catalog and reach new audiences, while maintaining quality and cultural authenticity.
CEO Rohan Nayak sees significant room for growth in genres and subgenres currently underrepresented in their library. To accelerate this expansion, the company has partnered with ElevenLabs for AI-powered text-to-audio conversion, already achieving impressive results: 5x faster production at just 1/30th of the traditional cost.
But Pocket FM's AI ambitions go beyond mere voice synthesis. The company has developed in-house models that tackle the complex challenge of adapting stories across different cultures and regions, considering local nuances rather than simply translating text. They've also created AI tools to assist writers, offering a virtual "writer's room" experience to solo creators producing daily episodes.
The company's efforts are paying off, with AI-assisted content generating $3 million in revenue as part of their $127 million total for fiscal year 2024. Their AI-powered catalog now includes more than 40,000 series. However, Pocket FM faces a delicate balancing act between rapid content production and maintaining quality standards.
This challenge resonates with industry professionals like Puneet Sharma, an Indian writer and lyricist, who notes that in an AI-enhanced creative landscape, artists may need to work harder to prove their authenticity. While AI tools can help generate ideas and explore different styles, there's concern that the valuable learning experience of creative trial and error might be lost.
Backed by $197 million in funding from investors including Lightspeed Ventures, Tencent, and Times Internet, Pocket FM is competing with established players like Audible and regional competitors such as Pratilipi and Kuku FM. Their success in integrating AI while maintaining content quality could set a new standard for digital content platforms.
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🌐 Which social media topic do you want to implement in your business with AI tools? |
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⚡ AI Playground: Code & Craft
🔧 This Week’s Tool:
Overview:
Runway ML is a creative AI platform that empowers users to create stunning visuals, videos, and effects with minimal effort. Perfect for designers, video editors, and creators, it blends AI with accessible tools to streamline complex creative tasks like video editing, object removal, and generating visuals.
Why Is It Better Than Other Tools?
Accessible for Everyone: No coding skills required—just an intuitive interface designed for creators.
Creative Powerhouse: Features cutting-edge tools for video editing, animation, and image generation.
Free Tier Available: Many core features are available for free, making it perfect for experimentation.
What Does It Do Best?
Runway ML excels at:
Video Editing: Automatically remove objects, replace backgrounds, or apply effects with AI.
Image Generation: Create unique images or art from text descriptions with text-to-image models.
Animation and Effects: Turn static images into dynamic visuals using AI-powered animation tools.
Applications:
Content Creation: Design captivating social media visuals, promotional videos, or animations.
Video Editing: Save time by automating tasks like green screen removal or color grading.
Graphic Design: Generate unique design elements to use in websites, ads, or presentations.
Prototyping: Quickly mock up visuals or ideas for creative projects or pitches.
Creative Exploration: Experiment with AI-generated art or effects for personal or professional projects.
Follow This Simple Guide to Get Started with Runway ML:
Sign Up: Create a free account at runwayml.com.
Explore Templates: Choose a tool like "Inpainting" (object removal) or "Green Screen" (background replacement).
Upload Your Content: Add videos, images, or input text to start creating.
Experiment with Features: Use AI tools to enhance or transform your work.
Export and Share: Download your final creation to use in your projects.
🎨 Challenge: Use Runway ML to create a short video or unique image, whether it’s removing an object, animating a photo, or generating art. Reply with your creation, and we’ll choose a winner to receive a special prize! Get creative!
Prize: The best sequence (judged on creativity and potential for impact) gets a feature in next week’s newsletter and a free one-on-one session to brainstorm more AI-powered marketing ideas!
No more playing catch-up. It's time to GET AHEAD!!! 🚀🚀🚀, Elena
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