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AI in 2025 isn’t sci-fi anymore, it’s infrastructure. 🚨 Just finished reading Stanford’s AI Index Report 2025 and honestly… it’s a lot to digest. But a few things hit hard: 💰 We’re in a full-blown investment frenzy Global AI investment hit $252B last year. US alone did $109B, that’s 12x China. VCs are all-in. M&A is heating up. And yet… Most founders are still figuring out how to turn models into money. 🤖 Big Tech owns the frontier Out of 58 major AI models released last year, 51 came from companies like OpenAI, Google, Meta, etc. Academia is barely in the game now. Compute, talent, capital, it’s all consolidating fast. ⚡ AI is getting faster, cheaper, smaller Inference cost dropped 280x in just 2 years. Tiny models like Phi-3-mini are beating giants like PaLM. Running powerful AI won’t need 10k GPUs soon..maybe just your phone. 🧬 The most exciting AI use cases aren’t even consumer-facing 223 FDA-approved AI medical devices last year (up from 6 in 2015!) GPT-4 can now outperform doctors in diagnosis Labs are designing antibodies using generative AI Real science is getting a whole new co-pilot. 🚨 But risk is rising too 233 reported AI incidents in 2024..from deepfakes to election interference. We're innovating fast, but regulating slow. Most companies don’t have a safety strategy yet. 📌 What this all means: The AI wave is no longer hype, it’s here. Smaller players now have tools that only Big Tech had 3 years ago. We need better benchmarks, better guardrails, and more focus on real-world ROI. Reading this made me think: Maybe the next AI unicorn won’t come from Silicon Valley. Maybe it’ll come from a 3-person team building something weird, small, but real.