We're excited to announce a $4M Seed round led by @GameChangersVC, with support from incredible investors including @scooterbraun, @GuyOseary, @stellation, @SignalFire, @MaCVentureCap, and others.
A few years ago, while hosting community events and testing early products, my co-founders @WeilynChong, @NathanAhn, and I noticed a consistent pattern.
After every event, people asked the same questions:
Where are the photos? Who captured that moment? How do I reconnect with the people I met?
https://t.co/hxhuPkNM3O
It is wonderful to see @redglassvc get highlighted for our robotics' investments among other Physical AI investors. Thank you Rya Jetha and Business Insider for the recognition.
We are investors in Foundry Robotics, and two other Physical AI companies still in stealth, and another new one in the works ;-) in addition to prior investments for the last 15+ years including Applied Intuition, Nominal, Saildrone, and several others.
BREAKING:
Anthropic just dropped Claude Fable 5—this is Mythos, made safe for public release. It is the best coding model in the world.
We've been testing it internally @every for the last week or so across coding, writing, marketing, editing, and more—here's our vibe check:
- It broke our benchmarks. Fable scored a 91/100 on our Senior Engineer benchmark—this is human senior engineer level. The previous high score was Opus 4.8 at 63. GPT-5.5 is a 62.
- It's a one-shot wonder. You can set it and forget for hours or overnight on huge coding tasks, and come back to completed work. It cleared entire production bug backlogs, built a playable 3D, and even made a 2-minute animated film—all one-shot.
- Taste and attention to detail. In coding and knowledge work tasks, it has much better taste and attention to detail than we've ever seen. It gets subtle things right, adds little features you might not have thought of, and generally understands the assignment in ways that surprised us.
- Great use of context. We set it loose analyzing customer feedback surveys and our website data and it came back with a crisp, clean report that identified a. our biggest problem and b. a concrete testable solution—and then we sent it off to build that.
- It's best for power users. If you're already used to orchestrating multiple agents in your work, this model can do things that you've never seen before. If you're a knowledge worker or vibe coder with a more basic setup, you're not going to notice a huge difference—in fact, it probably isn't the right model for you.
- It's very slow, token-hungry. Using this thing for regular knowledge work is like squashing an ant with a rocket launcher. It also routinely uses 500k to 1M tokens on tasks. That's why it's best for your heaviest jobs—but not as good for tasks like collaborative writing.
- It's expensive. It's about twice as expensive as Opus, and it's also incredibly token hungry—so expect it to be something you'll use sparingly unless your company pays for it.
Overall, I think of it like a warp drive for coding: It can get you across the galaxy in a few hours, when it used to take months or years. But it's not appropriate for getting around town—you need something faster, cheaper, and more maneuverable.
The ceiling is extraordinarily high on this model though. Even our most advanced testers like @kieranklaassen felt like they were only scratching the surface of it.
Want our full vibe check with all of our testing and benchmarks? Read it on @every: https://t.co/MgJLZszJUB
Sharing some photos here of our most recent Elements fireside chat - which we kept in the family - literally.
For the first time, I moderated a conversation with my dad, Ray Kurzweil, on everything from how he thinks about making predictions, to Pope Leo’s transhumanist mention and his focus on AI, to the precision and accuracy of his forecasts over the last 63 years.
It was particularly sweet to see the energy and passion for the impact of AI come to life with founders, including at least one who traveled internationally to attend.
Will be sharing more from the conversation shortly…