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- ⚡🔋Meta tests facial recognition for spotting ‘celeb-bait’ ads scams and easier account recovery
⚡🔋Meta tests facial recognition for spotting ‘celeb-bait’ ads scams and easier account recovery
And more: ‘Blade Runner 2049’ producer accuses Musk and Tesla of circumventing copyright with AI imagery; Europe's $13M Bet on Clean Computing
Supercharged With AI
October 22, 2024
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Good morning, aspiring leader of the next generation! ☀️
🚀 Here is what you are going to find in The Supercharged today:
Meta testing facial recognition to catch celebrity scams. Zuck's playing digital bouncer! 🕵️♂️🎭
'Blade Runner 2049' producer's got beef with Tesla over AI imagery. The irony of a sci-fi dispute is not lost on us! 🎬⚡
NVIDIA drops free AI courses. Learning to train your robot overlord? Now at the low price of zero! 🎓🆓
Philosophers pondering creativity in an AI world. Deep thoughts about deep learning! 🤔🎨
Neysa scores $30M to challenge global AI giants. David's got a new slingshot to take on Goliath! 🇮🇳🚀
AI voices giving hope to ALS patients. Finally, tech is doing something genuinely heartwarming! 💝🗣️
Meta tests facial recognition for spotting ‘celeb-bait’ ads scams and easier account recovery
Meta has announced expanded testing of facial recognition technology to combat scam advertisements and improve account recovery processes. The company's VP of content policy, Monika Bickert, revealed that the technology will primarily target "celeb-bait" scams, where fraudsters misuse public figures' images in deceptive advertisements.
The system works by comparing faces in suspicious ads against public figures' official Facebook and Instagram profile pictures. Meta claims that early tests with a select group of celebrities have shown promising results in detecting and blocking scam ads more efficiently. The company emphasizes that facial data is immediately deleted after comparison and isn't used for any other purpose.
Beyond scam prevention, Meta is testing facial recognition for identifying celebrity impersonator accounts and introducing video selfie verification for account recovery. This new recovery method aims to provide a faster alternative to traditional ID-based verification, though Meta claims it will maintain strict security measures for biometric data storage.
Notably, these tests are being conducted globally but exclude the United Kingdom and European Union, where strict data protection regulations apply. This geographic limitation aligns with Meta's recent efforts to influence European lawmakers regarding privacy protection policies.
While Meta presents these features as security measures, the timing coincides with the company's broader push to collect user data for AI model training. This development raises questions about the balance between security enhancement and data privacy, particularly as Meta expands its AI capabilities.
‘Blade Runner 2049’ producer accuses Musk and Tesla of circumventing copyright with AI imagery
Alcon Entertainment, producer of "Blade Runner 2049," is suing Tesla, Elon Musk, and Warner Bros. Digital over alleged copyright infringement involving AI-generated imagery. The lawsuit claims that after being denied rights to use imagery from the film, Tesla and Musk used AI to recreate similar imagery for promoting Tesla's new concept cars at a Warner studio lot event.
The producers allege this was a deliberate circumvention of their intellectual property rights. The legal action seeks unspecified damages and aims to prevent Tesla from further distributing the promotional materials in question. This case represents a new variation on AI-related copyright lawsuits, focusing on the use of AI to recreate protected content rather than the more common complaints about AI training data.
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NVIDIA just released FREE online courses in AI.
NVIDIA has released several free online AI courses covering various aspects of artificial intelligence and machine learning. The key courses include:
"Generative AI Explained" - covering fundamentals and applications of generative AI
"Building A Brain in 10 Minutes" - focusing on neural networks and basic neuron mathematics
"Augment your LLM with Retrieval Augmented Generation" - exploring RAG basics and NVIDIA AI Foundations
"AI in the Data Center" - covering AI use cases, machine learning, and GPU architecture
"Accelerate Data Science Workflows" - teaching GPU-accelerated data processing
"Networking Introduction" - covering network basics and TCP/IP protocols
"Large-Scale Image Classification" - exploring image classification challenges and techniques
"Building RAG Agents with LLMs" - focusing on deployment strategies and LangChain paradigms
These courses aim to provide practical AI education across different skill levels and specializations, from basic concepts to advanced applications.
📔#1 Insights Today on AI. Click the Links to Read
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AI is not just about processing data faster, it's about discovering new ways of thinking about problems. It challenges our assumptions about intelligence and pushes us to understand both the capabilities and limitations of human cognition.
Margaret Ann Boden OBE FBA is a Research Professor of Cognitive Science in the Department of Informatics at the University of Sussex, where her work embraces the fields of artificial intelligence, psychology, philosophy, and cognitive and computer science.
⬆️ ️ Trends: How Businesses Implement AI
DataCrunch: Europe's Green Bid for AI Computing Dominance
In the rapidly expanding world of AI computing, a Finnish startup is carving out a unique niche with an environmentally conscious approach. DataCrunch, founded in 2020 by Ruben Bryon, aims to become Europe's first AI cloud hyperscaler, with a distinctive focus on renewable energy powering its operations.
The company has just secured $13 million in seed funding, structured as a combination of equity and debt – $7.6 million from investors including byFounders and J12 Ventures, and $5.4 million in debt from LokalTapiola and Nordea. This unusual financing structure reflects an industry trend: using valuable Nvidia GPUs as collateral for loans rather than diluting equity.
DataCrunch's business model revolves around offering "GPU-as-a-service," making AI processing more accessible and cost-effective. The company has already attracted notable clients, from corporate giants like Sony to individual AI researchers working at companies like OpenAI. This diverse customer base reflects Bryon's commitment to serving both large corporations and independent researchers, acknowledging that today's PhD students could be tomorrow's industry leaders.
What sets DataCrunch apart is its strategic location choices. With data centers in Helsinki and Iceland, the company leverages natural advantages for sustainable operations. Iceland's grid runs on 100% renewable energy, while Helsinki's facilities capture waste heat to warm the city. The cold Nordic climate provides natural cooling, further reducing environmental impact.
These green credentials come with trade-offs. DataCrunch isn't competing on ultra-low latency – customers might face 100-millisecond delays rather than 10 milliseconds – but Bryon believes this is acceptable for many AI workloads. The company focuses on compute tasks that don't require split-second responses.
Currently operating from shared co-location facilities, DataCrunch has ambitious plans to build its own data centers starting in 2025. Bryon envisions taking the company public eventually, acknowledging that significant capital will be needed for expansion. The company might even consider expanding to similarly climate-advantaged locations like Canada in the future.
In Europe's growing AI infrastructure landscape, DataCrunch positions itself against competitors like France's FlexAI and the newly public Nebius. But with its focus on renewable energy and sustainable operations, DataCrunch is betting that environmental consciousness will become increasingly crucial in the AI computing arms race.
This series of AI Challenges is designed to help you dive deeper into the world of AI and figure out how to use AI tools firsthand. Good luck, winners! ☘️
This week’s challenge:
Create Your Own GPT for a personal purpose in ChatGPT:
Step 1: Define Your Goal
Explanation: Decide what you want your GPT tool to do. Be specific about the problem it will solve or the task it will perform.
Example: "I want to create a GPT that helps me draft professional emails."
Step 2: Access ChatGPT
Get started by accessing the ChatGPT platform.
Visit: ChatGPT Website
Sign Up or Log In: Click on Create new
Send us your GPT by replying to this email and we will choose one to win a big merchandise price this week! More instructions to follow.
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⚡ AI Playground: Code & Craft
Work smarter, not harder!
Today’s Tool: ChatSimple
What is this tool best for?
ChatSimple is best for building AI chatbots that enhance lead generation and automate customer interactions on websites.Why is this tool better than other tools?
It personalizes every interaction, improving sales and lead quality while integrating seamlessly with various CRM tools like HubSpot and Salesforce.What does it do best?
It excels at engaging website visitors in real-time, qualifying leads, and scheduling meetings automatically.What are some applications of this tool?
Lead generation, customer support, sales automation, and seamless CRM integration.
I hope you find these resources helpful. Let me know if you have any questions, if there's anything else I can do to assist you, or what you would like to learn more about in AI.
Have an amazing day!
No more playing catch-up. It's time to GET AHEAD!!! 🚀🚀🚀
🙌🏼
Elena
⚡︎🔋 The Supercharged - loved by thousands of readers ❤️🙋♀️
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