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Plus: 24 AI Tips for 2024 by Google
Read time: 5 minutes
Google, in partnership with Samsung and Qualcomm, is creating AI wearable devices. Guess what they are? An AI pin? No, these devices will directly compete with Meta.
What are on FIRE 🔥
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AI INSIGHTS
🤖 Clio Automatically Identifies Trends in Claude Usage Across the World
AI systems, like language models, are used for many tasks, but it's hard to track how they're used due to their scale and privacy issues. Traditional safety checks can't capture all uses. Clio, a privacy-preserving tool developed by Anthropic to analyze the real-world usage of its language model, Claude, without compromising user privacy.
Key takeaways:
Clio addresses this challenge by analyzing user interactions with Claude while maintaining privacy. It does this through four main steps:
Extracting facets: Clio extracts metadata and attributes from conversations, such as topics or the language used.
Semantic clustering: Similar conversations are grouped into clusters based on common themes.
Cluster description: Clusters are given descriptive titles, summarizing the topic without revealing private information.
Building hierarchies: These clusters are organized into a hierarchy for easy exploration by analysts.
Throughout the process, all data is anonymized and aggregated, and sensitive information is excluded. Only high-level insights are made available to human analysts.
Why it matters: Clio represents a step forward in balancing privacy with safety in AI development. It allows for empirical, privacy-preserving analysis of how AI systems are used, which helps improve their safety. Anthropic aims to continue refining Clio and hopes that others will adopt similar approaches to responsibly develop AI systems.
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TODAY IN AI
AI HIGHLIGHTS
🎁6️⃣ Day 6 of 12 days of OpenAI: OpenAI is giving all users a Christmas gift – an AI Santa ("he" is available until the end of the month, after which he will retire back to the North Pole). You can also select the Santa voice in your ChatGPT settings or inside Voice Mode through the voice picker in the upper right corner.
Santa mode is based on Advanced Voice in the ChatGPT mobile app. You can chat with ChatGPT over video, screen sharing, and voice in real-time.
What impressed me?: Advanced Voice Mode is truly advanced. Even if you accidentally interrupt ChatGPT while it's talking, ChatGPT will make a "pause" sound and let you speak first. It's very natural like you're actually talking to a human.
📚 Harvard, backed by OpenAI and Microsoft, released a public-domain AI dataset of 1M books, 5x larger than Books3 (A dataset that was used to train AI models like Meta’s Llama), for anyone to train their language models, promoting fair AI development.
🚀 Hut 8 (Bitcoin miner) is investing in a $12B AI data center in Louisiana to diversify revenue, support AI growth, and lease to major tech companies like Meta.
🚗 GM is closing its Cruise robo-taxi division and shifting focus to autonomous personal vehicles, underscoring the tough economics of driverless taxis.
🤖 Google introduces Android XR, a new operating system for next-gen computing. Developed with Samsung, it blends AI, AR, and VR for enhanced headset and glasses experiences.
DAILY AI FUNDRAISING
Crusoe Energy Systems raised $600M at a $2.8B valuation to expand AI-focused data centers. The company uses clean energy to build large-scale infrastructure, with plans for 15+ gigawatts of development.
AI SOURCES FROM AI FIRE
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🧮 Bricks is the AI spreadsheet we’ve all been waiting for
AI QUICK HITS
🤖 7 consortia to launch AI factories boosting EU innovation (Link)
💡 24 top AI tips you need to know in 2024 (Link)
🍏 Apple teams up with Broadcom on new AI chip (Link)
🎥 Alan Bekker (Former Snap AI lead) launches eSelf with $4.5M for AI agents (Link)
🎓 Runway launches student ambassador program for creatives (Link)
AI CHART
Data Limits: By 2028, LLM training datasets could match the total amount of public online text. Internet content grows slowly (~10% per year), while AI data needs double annually.
Restrictions: Content providers increasingly block AI from accessing their data, and lawsuits (e.g., The New York Times vs. OpenAI) could tighten access further.
So what is the solution:
New Data Sources: Use proprietary content (e.g., social media data) or specialized fields like healthcare or astronomy but legal and ethical concerns remain significant barriers.
Synthetic Data: AI-generated data (e.g., OpenAI produces 100 billion words daily) could fill gaps but risks reinforcing errors if overused.
Efficiency Improvements: Re-read training data to extract more value. Shift focus to smaller, specialized models for specific tasks.
Incorporate data from videos, images, and real-world interactions to enrich training.
New Approaches: Reinforcement learning and encouraging models to "think" rather than relying on massive data sets.
Our POV: As long as humans remain involved, we’ll keep generating and improving data, making it more precise and impactful. While some are already pushing boundaries with data, others may not see the urgency.
The concern over AI hitting a data ceiling by 2028 signals a shift: from massive, general-purpose models trained on all available data to smaller, specialized models tailored to specific needs. This marks not the end of AI’s growth but the start of a new phase.
AI is a powerful tool—a “black box” of intelligence built on human knowledge. Its potential is unlocked when guided by human purpose and integrated into systems that collaborate seamlessly with us. The future of AI isn’t limited by data but by the vision and intent we bring to its use.
AI JOBS
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