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Chronicles

The story behind the story

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Humans&, founded by ex-Anthropic, xAI, and Google staff to build collaborative AI, raised a $480M seed from Nvidia, Jeff Bezos, and others at a $4.48B valuation

New York Times Cade Metz

Context & Ripple Effects

Humans& moved from an October report that it was seeking $1 billion at a $5 billion valuation to a completed $480 million seed round valued at $4.48 billion. The company’s founding team spans Anthropic, xAI, and Google, making the financing a notable early test of investor demand for a lab centered on AI collaboration.

The investor group combines Nvidia and Jeff Bezos, extending a pattern in which major technology and capital players back ambitious AI ventures at formation, as seen in Nvidia and Bezos’s earlier backing of Figure.

First-order effects

  • Humans& gains $480 million to recruit, build, and pursue its collaborative-AI agenda, while Nvidia and Bezos obtain early financial exposure to the company.
  • The $4.48 billion valuation establishes a high benchmark for a newly funded AI lab whose differentiation is collaboration with people.

Second-order effects

  • Other early-stage AI labs will face a tougher comparison for talent and funding: investors now have a concrete price point for a team assembled from leading AI organizations.
  • Nvidia’s participation reinforces its role as a capital partner to AI builders as well as a hardware supplier, increasing the strategic value of access to its ecosystem.

Third-order effects

  • If comparable rounds persist, frontier-AI startup formation may become more concentrated around teams with elite-lab pedigrees and access to strategic investors rather than broad-based venture financing.
  • The financing is another data point in AI infrastructure financialization: large up-front capital commitments increasingly shape which AI research and product approaches can be pursued independently.

The trend: AI funding is concentrating around well-connected teams that can pair research credentials with strategic capital from the companies underpinning the AI stack.

Discussion

  • @niloofar_mire Niloofar on x
    I joined @humansand last November! Models shouldn't treat everything like math with one verified answer. No two humans are alike—we're fuzzy, ambiguous, and super diverse! That's why current modeling paradigms can only go so far. 🔗Here's a little something I wrote about my [image…
  • @kevg1412 Kevin Gee on x
    One of the most incredible teams I've ever seen, working on one of the most important missions ever. If you care about building a better world, where AI truly collaborates with Humans, rather than simply tries to replace them, this is a team to watch.
  • @jerber888 Jeremy Berman on x
    To make the sort of AI we envision, we're building a new class of training environments and RL methods. We come from xAI, Anthropic, Google DeepMind, OpenAI, Meta, Reflection, AI2, Stanford, and MIT. Reach out if you're interested in joining. [image]
  • @gharik Georges Harik on x
    Sometimes you feel compelled to do things. At the University of Michigan, I was drawn to artificial intelligence, what could be more appealing than studying what thinking was? and how could we make something that really thought? So I did my PhD in Computer Science focusing on AI,
  • @theandipenguin Andi Peng on x
    I am thrilled to introduce humans& alongside my good friends and co-founders @ericzelikman & @noahdgoodman & @gharik & @YuchenHe07. [image]
  • @dylan522p Dylan Patel on x
    We are all calling this startup Human Sand. Sorry I make the rules, it's a fire name.
  • @trace_cohen Trace Cohen on x
    $480M seed round! We're so back.
  • @gan_chuang Chuang Gan on x
    Wow, $480M funding!!! I can envision a future where frontier research labs gradually replace university research labs. I find it increasingly difficult to convince students, or even myself, that faculty positions offers the next generation to pursue truly long-term and
  • @signulll @signulll on x
    not knocking these guys at all, but can someone tell me in one sentence what these guys do? i read the manifesto & tweets but i am as confused as ever. i'm sure they have a lot of tricks up their sleeve but i am unable to even understand the mission & purpose (maybe i am a
  • @saurabh_shah2 Saurabh Shah on x
    I've joined humans&! My last blog post explains why I think a human-centric approach is the missing piece in modern AI systems. I'm super psyched about the technical direction of the company. Perhaps even more important, though, is the team; the humans at humans&. My coworkers
  • @humansand @humansand on x
    Today we introduce humans&, a human-centric frontier AI lab. We believe AI can be reimagined, centering around people and their relationships with each other. At its best, AI should serve as a deeper connective tissue that strengthens organizations and communities [image]
  • @alexisjross Alexis Ross on x
    I joined @humansand and moved to SF! 🚀 Reflections on my decision and the pursuit of ~ikigai~ 😄✨: https://alexisjihyeross.github.io/ ...
  • @__charlie_g Charlie George on x
    Happy to share that I joined @humansand in November! I'm excited for a future where advanced AI is endlessly curious about humanity, deeply cares about us, and we care for it in turn. Let's build AGI for the humans!