CRV specializes in early-stage seed and Series A startups. We've invested in over 750 companies including DoorDash, Mercury and Vercel.
San Francisco and Palo Alto
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We led Raindrop's Series A because they’re quickly becoming the leader of agent observability. @reidRMC @brittwalker_ and the team are thrilled to back the company that is improving agents at Fortune 100s and startups alike. @raindrop_ai @snarkyzk @alexisgauba @benhylak
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Today, we are announcing our Series A and a new product: @raindrop_ai Simulations.
We've now raised $50m from @CRV and @lightspeedvp to protect the world from agent failures, big and small.
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Very excited to see this long-horizon prompting behavior! I learned tremendously during my years at CMU working with @deepakpathak , and it’s exciting to see these ideas come to life through the work of the Skild team!
Introducing S1, our new foundation model that learns from one example.
It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning.
Watch S1 operate in real-time via in-context learning:
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Truly incredible.
The fact that the robot is able to learn from examples, which is also how humans learn: we watch people do things and then learn from their actions.
Now, the robot can do the same.
This could be the future of robotics.
Introducing S1, our new foundation model that learns from one example.
It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning.
Watch S1 operate in real-time via in-context learning:
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Does your girlfriend sit front row for your technical talks and leave with 400 photos? Mine does.
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GPT-3 moment of robotics? Look amazing
Introducing S1, our new foundation model that learns from one example.
It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning.
Watch S1 operate in real-time via in-context learning:
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Great work from our mid-training, RL, and infra teams (not to mention a ton of lab data) to pull this off!
I got some as well. Inspirational talk!
Also, very cool to see that @periodiclabs is using Kimi to reduce inference costs 20-50x over frontier APIs. Everyone will do this.
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One of my favorite things about digging into new spaces is being able to reach out to experts outside of the Silicon Valley bubble to get up to speed. I get to meet such interesting folks and learn so much.
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before Lovable I started ~250 repos in my career, thank you for holding up @pierrecomputer @fat @foobar1234
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World don’t need a new GitHub
Agents need new git infra like code.storage
Creating repos with code.storage is easy!
If you’re already spinning up sandboxes for individual tasks, there’s a good chance these 8 lines could be pretty helpful to you!
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Incredibly impressive release by @SkildAI!
Introducing S1, our new foundation model that learns from one example.
It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning.
Watch S1 operate in real-time via in-context learning:
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Introducing S1, our new foundation model that learns from one example.
It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning.
Watch S1 operate in real-time via in-context learning:
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1/ Today, we’re launching real-time payments (RTP): instant, always-on money movement, 24/7, weekends and holidays too.
Pay someone at 9pm on a Friday, it lands by 9:01.
Many banks don’t even know US RTP are possible (lots of banks don’t offer it). Its now live on Mercury.
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You know you aren’t a cool VC when the most active group chat you are in is your family’s 😂
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Today's a record day for open weight share of tokens on Vercel AI Gateway.
Aug 22 (today)
🟦 Open: 62%
🟨 Closed: 38%
Jun 24 (~2 months ago)
🟦 Open: 28.4%
🟨 Closed: 71.6%
This is very likely just the start, because enterprise adoption is still early, and harnesses, CLIs, IDEs, SDKs, etc need to be adapted to be model agnostic.
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Elon's companies are winning in part by co-designing hardware all the way down to the materials. A new alloy unlocked single-piece gigacasting for the Model Y, and a new steel replaced 301 stainless on Starship.
Materials are the deepest layer of the stack, but currently one of the least designable.
This is why I switched Starship to stainless steel.
We have since created our own new alloys and no longer use 301.
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