Jeff Bezos is bringing his new AI company to Oakland.
Project Prometheus just signed a massive 100,000 sq ft lease, at a former steel complex that's becoming a hub for advanced manufacturing, robotics, clean energy and R&D.
Project Prometheus, co-founded and led by Bezos and Vik Bajaj, is building what it calls an “artificial general engineer” for the physical world.
Their vision is to build AI that doesn't just understand text and digital information, but can understand the physical world and help design, engineer and manufacture real things...from jet engines and automobiles to computers, medical devices and other complex products.
The company has already raised $12 BILLION at a $41 billion valuation.
Now it's taking 100,000 SF of industrial space in West Oakland.
That location makes a lot of sense.
It's minutes from UC Berkeley, Berkeley Lab, the Port of Oakland and San Francisco, with the kind of power, high ceilings and industrial infrastructure that physical AI companies need.
The Bay Area AI boom has been a San Francisco office story so far.
But the next wave of AI may need warehouses, labs, manufacturing space, robotics facilities and places where AI can interact with the physical world.
And the East Bay has a LOT of that.
Awesome to see one of the best-capitalized AI startups in the world choosing Oakland as part of that vision. 👀
📍 Oakland
Introducing the Yondu Work Force:
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We configure the right robots for each client's fulfillment needs. Every robot in the line, humanoid or stationary, integrates directly with the client's existing WMS.
This is the kind of end to end automation that is only possible when you aren't locked into one form factor.
Yondu can deliver real value for our clients by automating a single task or an entire workflow that fits how any warehouse operates
Innovative lawyers use innovative tools. In this video - I discuss with @samakinwunmi why leading law firms love working with document management systems.
Today we're launching Rivet, a tool that explores dozens of interfaces with you.
- Start from your local agent
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I want Rivet to help you try bold ideas and creative risks.
⚽ Demo here:
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Introducing Nyx, the world’s frontier hacker of AI agents.
On AgentHarm, Nyx achieved a 78% attack success rate - compared with 67% for GPT-5.6 Sol.
Here’s more about how it works 🧵
Expect to see more of this as idiotic policies from the GOP and octogenarian absentee leadership from the Dems cede the next few decades of scientific leadership to China.
Madame Celeste Amarilla,
Vous êtes une femme méprisable et indigne de sa fonction.
Vous ne représentez pas le Paraguay, ce pays qui a transpiré la passion et l’honneur tout au long de la compétition. Par votre inconscience et votre racisme décomplexé, le monde entier a déjà oublié le parcours et l’effort historique que vos joueurs ont réalisés durant cette coupe du monde pour laisser place à une dame incompétente donnant la pire image possible de son pays.
Je ne laisserai jamais aux gens comme elle, la liberté de laisser propager leur haine et leur racisme à travers le monde.
AI writes all your code. Does it still work?
That's the gap: coding agents are scaling output, but the same with bugs and incidents. The biggest bottleneck is QA: how can you make sure the code your agents just wrote doesn’t break everything?
The best QA are the ones who know everything about your product. Today, we give that knowledge to Momentic’s most capable agent.
Every Linear ticket, every PRD in Notion, every PR - Momentic knows all.
In just the past few weeks, our agents analyzed 70k+ test failures and created 600 tests. Achieving a 73% PR merge rate, and it’s growing fast.
We’re grateful for the trust of our customers, including Notion, Xero, Webflow, Retool, Runway, Bilt, and more.
Complaining about nightlife when you *checks notes* choose to live in Soho is like living in South Kensington and complaining about the museums. Or moving to Hackney and grumbling about creatives. Living in Richmond and hating green space. It's all getting a bit silly, isn't it?
If you've ever Ctrl+F'd a 4,000-doc data room at 11pm, we built Tower for you.
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The fundraising fell through. The launch flopped. The CTO just left. The big pilot isn’t converting.
In the moment, it feels apocalyptic.
In 5 years, this is how you’ll tell the story: “And then it worked out, better than I planned.”
Trust the process. Keep executing.
Today we launched OpenClaw for Sales.
It combines @openmartai’s data, LinkedIn data, and top data sources to do the work for you.
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Sharing here as a reply to this comment...
tl;dr; more PRs AND bigger PRs
Q: "How do you prevent Goodhart's law seeping into the PRs per employee metric? I assume, even if it's not explicit in performance reviews (or is it?), all the public leaderboarding of this metric is going to naturally encourage people to break up PRs even more than they normally would? I'd be interested to see if LOC / PR has changed over time which might be one way to observe this"
A: I've not been worried about this, for one we've a very transparent and high trust environment, if all a person attempted to do was jack up the PR count but not accomplish more it'd be very obvious.
What we've actually seen wrt LOC per PR is that it's increased too, this makes sense when you think about the ease at which CC will write e.g. tests, or it's growing ability to take on larger scope of problems. We expect some downward pressure with our use of AI PR approval (https://t.co/YruhhABbxe) which encourages smaller PRs.
One related take away for me, is that I've seen internally and externally people get caught up on not finding the perfect measure, and allow that to hold them back from making progress in the right direction. I don't believe there's any one perfect measure for this, triangulation is very important, and it's a big trap to fall into to not peruse the bountiful gains available because the perfect measure doesn't exist.
@zeeg@NotOnKetamine you can do it with the otel collector david: https://t.co/7nX62umL70
happy to help set it up, or you can just plug into our product, and you’ll get this breakdown automagically.
big fan of yours, would love to get on a call to help