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Nvidia stock jumps to highest levels

The world's most valuable company (again)

👋 Good morning/evening (wherever you are). It’s Wednesday.

Nvidia is back on top.

Shares closed at a record high, lifting its market cap to $3.77 trillion and reclaiming the title of world’s most valuable company.

More importantly, Jensen Huang told shareholders that robotics is now Nvidia’s biggest growth bet after AI, a multitrillion dollar wave powered by autonomous vehicles, humanoid robots, and smart factories.

Nvidia no longer sees itself as just a chipmaker, it’s building the full stack for physical intelligence.

Switching gears:

Whoa…a fake Hogwarts vlog series made with AI just hit 16 million views in 16 days.

It’s called Vlogwartz, and it’s blowing up on TikTok.

More details on my LinkedIn post. Watch it here.

OK let’s keep going ↓

Here’s what you should know:

The numbers:

  • Klarna co-founder’s Norrsken Foundation commits $348M to back European AI startups focused on climate and social impact.

  • Rubrik to acquire AI platform Predibase in a deal worth over $100M.

  • AI security startup Xbow raises $75M to scale its top-ranked offensive cybersecurity tool.

  • OpenRouter secures $40M to expand its marketplace for open-source AI models.

  • Arine lands $30M Series C to grow its AI platform for optimizing medication use.

  • Spinwheel raises $30M Series A to accelerate development of its agentic AI operating system.

  • Wispr Flow nets $30M to enhance its AI-powered voice dictation app.

  • Property tech startup Aedifion closes $20M Series B to boost AI solutions for smart buildings.

  • Enterprise voice AI company Synthflow raises $20M to bring conversational tools to sales and support teams.

  • Seattle-based Clarify picks up $15M to challenge Salesforce with its AI-native autonomous CRM.

Thought starters:

Moonshot AI’s Kimi-Researcher just hit 26.9% on Humanity’s Last Exam, up from 8.6%.

It runs long reasoning chains, checks over 200 URLs per task, and produces full research-style web pages.

Some believe it signals a new phase in AI training. Instead of just predicting text, it acts more like an agent trained through reinforcement learning.

If the claims hold up, this could be a real step toward autonomous research.

Meme of the day:

Thanks for reading,

Eddie

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