Mon, June 15 at 6:00 AM
SpaceX is officially on the stock market 🛸
ok but why does a rocket company matter for AI? 🚀

Because SpaceX is not just rockets anymore. When it started trading on the Nasdaq on Friday, it brought xAI, Grok, and X with it, since all three were folded in earlier this year. At $135 a share, it raised $75 billion at a roughly $1.77 trillion valuation, the biggest IPO ever.

SpaceX rings Nasdaq opening bell as company goes public in blockbuster IPO
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Which AI company will you buy shares in?

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🤔 so what does this actually mean for the AI industry?

For the first time, regular people can own a piece of a frontier AI lab, and everyone is watching whether Wall Street can stomach the math. The AI side burned around $14 billion last year against $3.2 billion in revenue, so Starlink profits are carrying the AI bet.

SpaceX wildcard will be people who've never bought stocks before: Cramer
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The bigger story is who's next. OpenAI and Anthropic both quietly filed IPO paperwork this month, so this debut is the test balloon for the whole AI listing wave.

Google built an AI that writes like an image generator ✏️
how is that different from a normal chatbot?

Most chatbots write one word at a time. DiffusionGemma refines whole blocks of text at once, like an image generator, making it up to four times faster at over 1,000 tokens per second.

Diffusion Gemma: Google's First Open Diffusion Model
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can normal people actually run this thing?

Surprisingly, yes. It's free and open, and a compressed version fits on a high end gaming graphics card, so hobbyists can run it at home. Google admits quality trails regular Gemma 4, so treat it as the speed demon for quick drafts, not your most important work.

weekly scoop 🍦
Microsoft AI CEO unveils 7 new AI models | Mustafa Suleyman at Microsoft Build 2026
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⏱️ weekly challenge: find out when fast AI beats smart AI
what's the challenge?

This week, figure out which of your daily AI tasks actually need the big slow brain, and which a fast model handles just fine.

Step 1: Pick three everyday tasks. Think rewriting an email, summarizing an article, and planning your week.
🐇 Step 2: Run them on the fast setting. Use Gemini Flash, ChatGPT's Instant mode, or Claude on low effort, and note speed and quality.
🐢 Step 3: Rerun them on the heavy setting. Same prompts with thinking mode or high effort on, then check whether the wait bought you anything.
🗺️ Step 4: Draw your personal speed map. Decide which tasks get the fast lane from now on. Most never needed the slow brain at all.

Would you put your savings behind an AI company? And is faster but dumber a trade you'd take? We'd love to hear your thoughts!

Zoe from Overclocked 

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