.@DecagonAI is the second Wayfinder II company to hit $100M run rate this year (the first being @WeAreLegora).
Like @MaxJunestrand, @thejessezhang's trajectory as a founder has been insane. I first worked with him 8 years ago during YC and he has not stopped impressing since.
.@ibab is one of the only people in the world who has built an AI lab from scratch and in record time. He's back to do it again.
Igor and the @river_ai_inc team have been working on open weight personalized models long before they became the topic du jour, and I couldn't be more excited we were fortunate enough to partner with him from day 0.
.@river_ai_inc has a new vision for personal AI. We co-led River’s $1.1B funding round because we believe in @ibab's ambition to build open-weight models that individuals can train and improve continuously.
Watch @htaneja in conversation with Igor.
Chapters
02:22 — Co-Founding xAI
04:36 — An AI Experience You Own
05:59 — Betting Early on Open Weights
07:47 — How Do You Make Money on Free Models?
09:25 — Why the US Needs Its Own Open Models
11:27 — Enterprises Want to Control Their AI
13:36 — What Is Continual Learning?
16:56 — An API That Updates the Weights
19:17 — A Personal AI for Everyone
20:46 — The 20-Minute Training Run
.@river_ai_inc has a new vision for personal AI. We co-led River’s $1.1B funding round because we believe in @ibab's ambition to build open-weight models that individuals can train and improve continuously.
Watch @htaneja in conversation with Igor.
Chapters
02:22 — Co-Founding xAI
04:36 — An AI Experience You Own
05:59 — Betting Early on Open Weights
07:47 — How Do You Make Money on Free Models?
09:25 — Why the US Needs Its Own Open Models
11:27 — Enterprises Want to Control Their AI
13:36 — What Is Continual Learning?
16:56 — An API That Updates the Weights
19:17 — A Personal AI for Everyone
20:46 — The 20-Minute Training Run
@agupta I’ve been occasionally using it for more “search oriented” queries because it responds much faster (output shows up close to instantly relative to opus/fable)
Today, we're sharing that River AI has raised $1.1 billion, led by @generalcatalyst and @amppublic with strategic investment from @nvidia and @AMD. Additional investors include @ycombinator and @Temasek.
We imagine a future where your AI works entirely for you and deeply aligns with your values. Compared to the corporate chatbots of today, it will feel completely different: responsible, curious, and truly yours. Most importantly, you'll own everything: the hardware it runs on, the data it learns from, and the intelligence itself.
Our training API is already live and powering incredible work today. This new funding accelerates our push to bring the full personal AI stack to life.
Read River AI CEO Igor Babuschkin’s (@ibab) conversation with the New York Times to learn more: https://t.co/DK66aKkF31
12 PhDs and a Fields Medalist in the mountains arguing about latent communication, and it happened to be my birthday 🎂
taking suggestions on how to top that 😂
Introducing Stagehand v4: the SDK for browser agents.
Playwright was built for testing, we built Stagehand for your agent: with improved context management, self-healing actions, and iframe support.
hey! super excited to announce human behavior v2 ;)
we raised $5M from @paulg, @ycombinator, @generalcatalyst, @vercel to put your company on autopilot
product analytics told you what happened … human behavior now just handles it
So many emerging managers tell me they underestimated how hard launching their own firm and fundraising would be.
It’s supposed to be hard. Only really easy for like 1% of new managers. But barriers to starting a fund have never been lower. So the reckoning just comes later.
@paulg We bought a new one last year and aside from the self driving, the completely automated mobile checkout experience blew my mind as well. It felt like I was stealing the car off the lot by just showing up and driving it off.
Three years ago, @WeAreLegora was three people in a tiny conference room at a law firm in Stockholm, building something we believed the legal industry needed before most of the industry agreed with us.
It took us two years to go from three people to a hundred. This week, we onboarded almost a hundred people in a single class.
Same growth, compressed from two years into five days. That's the pace we're at now.
They're joining before the thing is finished. That's the job: build it with us.
Welcome to Legora!
Cloud agents work while you eat, sleep, and take the subway.
"Every morning I'll spin up a session on the way to work."
Melius is a small and nimble startup, and Devin gives them the engineering capacity of a 100-person team.
That's why the fastest moving startups use Devin.