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In Today’s Issue:
Stanford’s AI Index Report
Google's multimodal “AI Mode”
Read time: 2 minutes
Stanford’s AI Index Report
The 2025 AI Index Report by Stanford Institute for Human-Centered Artificial Intelligence (HAI) was published today. Here are 9 interesting graphs:
1/9 Smaller Models, Bigger Impact
Tiny but mighty: In just two years, models went from 540B to 3.8B parameters while maintaining top-tier performance. Optimization is working overtime.
2/9 LLM Costs Plummet
From $20 to $0.07 per million tokens—AI is getting exponentially cheaper to run. It’s not just smarter; it’s more affordable than ever.
3/9 China Closes the AI Gap
China is catching up fast. U.S. still leads in model count, but benchmark performance is now neck-and-neck. Meanwhile, China dominates in patents and publications.
4/9 AI Harms on the Rise
AI-related incidents hit an all-time high in 2024. From deepfakes to chatbot tragedies, the stakes are getting real—and regulators are watching.
5/9 AI Agents Show Real Potential
In short tasks, agents outperform humans. In longer ones, not yet—but they're gaining. Coding tasks, in particular, are now firmly in AI territory.
6/9 U.S. Doubles Down on AI Investment
America poured $109B into AI last year—12x more than China. In GenAI alone, the U.S. outspent the entire EU+UK combined.
7/9 AI Becomes a Business Staple
78% of businesses now use AI, up from 55%. GenAI adoption more than doubled year-over-year. AI’s no longer hype—it’s strategy.
8/9 FDA Gets Flooded with AI Devices
Medical AI is booming: 223 FDA-approved AI devices by 2023, a steep rise from just 6 in 2015. Healthcare is officially getting an AI upgrade.
9/9 States Take the Lead on AI Law
Federal gridlock means U.S. states are stepping up. In 2024, 131 AI-related laws passed—more than double the year before.
If you want to see the full report, you can find it here
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Google's multimodal “AI Mode”
Google just rolled out a powerful update to its AI Mode in Search—users can now ask complex questions about images. Snap a photo of your bookshelf and ask for similar book recommendations, and Google’s AI will deliver context-aware results. Powered by a custom Gemini model and Google Lens, this feature brings multimodal search to the mainstream. It’s currently available via Google Labs, aiming to compete directly with AI search tools like Perplexity and ChatGPT.
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