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🦾 Do You Feel The "AGI Moments"?

Amazon Breaks Promise on Alexa Again

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Plus: Amazon Breaks Promise on Alexa Again

Read time: 5 minutes

What have you done in the last 10 months? In that time, NVIDIA has generated more computing power than all its previous GPUs combined. And in another 10 months, they’ll do it again.

AI INSIGHTS

🤖 Nvidia Compute Is Doubling Every 10 Months

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The NVIDIA A100 has been the workhorse of AI training, powering 65 of the most notable models in the industry. But its reign might be coming to an end.

By late 2023, the H100 had already outsold the A100, positioning it as the next dominant GPU for training AI models. And with NVIDIA’s compute power growing 2.3x per year since 2019, bigger, more advanced models are coming faster than ever.

Breaking Down the GPU Race

  • A100: The most widely used AI training GPU—until now.

  • V100: A close second, used in 55 models.

  • TPU v3: Google’s challenger, powering 47 models.

  • H100: The rising star, now making up 77% of NVIDIA’s total AI compute power.

Why This Matters

🚀 Hopper (H100) is taking over. The latest NVIDIA AI chips dominate compute power, meaning older GPUs fall off fast—usually contributing less than 50% of total compute within four years of release.

🔍 TPUs? A wildcard. This analysis excludes Google’s TPUs and other AI accelerators, but some estimates suggest they could rival NVIDIA in total compute power.

💡 The mind-blowing part? NVIDIA’s total installed compute power is doubling every 10 months. That means in just 10 months, NVIDIA will produce more computing power than all of its previous GPUs combined. And then 10 months later, they’ll do it again.

At this rate, the A100's dominance looks like a momentary blip in AI history—and the real question is: How long before the H100 gets replaced, too?

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TODAY IN AI

AI HIGHLIGHTS

👑 Flybridge & XFactor Ventures are spotlighting AI’s top female innovators—founders, researchers, investors & leaders. Know a game-changer? Nominate her (or yourself!) by Feb 24.

🧠 DeepHermes 3 is your AI, your way. This model lets you switch between quick answers & deep reasoning and gives you more control - customizing personality, logic, and decision-making like never before.

📢 Forget complex instructions, OpenAI says simpler is better for its o-series reasoning models. The new exclusive guide shows how direct prompts lead to better AI responses.

🤯 Sam Altman says testers are having "feel the AGI" moments with GPT-4.5. The buzz is growing—could a big launch be around the corner?

🏷️ Humane is shutting down the AI Pin and selling its tech and team to HP for $116M. Cloud features stopped working Feb 28 - refunds are available for recent buyers. HP’s new AI lab incoming.

🌍 AI is going local, and Mistral AI just dropped Mistral Saba—a 24B parameter model built specifically for the Middle East and South Asia. Unlike one-size-fits-all AI, this model understands regional languages, cultural nuances, and local expertise.

💰 Daily AI Fundraising: Ilya Sutskever, OpenAI’s co-founder, is raising over $1B for his startup Safe Superintelligence (SSI) at a $30B+ valuation—making it one of the most valuable private AI companies.

AI SOURCES FROM AI FIRE

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AI QUICK HITS

  1. 🛑 Amazon Delays New Alexa Over Too Many Wrong Answers (Link)

  2. 🐞 Apple Struggles With Bugs Blocking Siri’s Big Upgrade (Link)

  3. 📰 NYT Brings AI Into the Newsroom—What’s Changing? (Link)

  4. 🔍 DeepSeek Shared User Data With ByteDance (Link)

  5. 🎬 Dune’s VFX Giant DNEG Goes All-In on AI With Metaphysic Buyout (Link)

AI JOBS

  • Pella Corporation: Artificial Intelligence Engineer (Link)

  • TheCollegeBoard: Executive Director, Generative AI Business Strategy (Link)

  • Mastercard: Principal Azure Gen AI Engineer (Link)

  • Figma: Automations & AI Specialist (Link)

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