Competition is necessary. A prosperous world is one adapting to shifts in tech, power, and capital.
Only a tiny few benefit from lopsided access to the frontier. Thankfully, many players want the prize equally.
Bullish infra and model aggregators.
"I talk to the model more than I talk to my mother and it doesn't really know who I am."
I left Stanford in December because I believe that the future isn’t one giant model that knows everything about nothing, it’s one that knows everything about you. I knew I could only study and push continual learning to the limit in the real world.
I’ve never worked with a team I admire this much—picking the right people is as big a bet as picking the right problem to work on. Join us!
Join Anthropic and help Claude learn real-world knowledge work! You'll own the strategy for domains (e.g., finance, healthcare, legal): source high-value tasks, design RL env / reward signal, and evaluate the capability improvement.
Look for Staff+ research engineers who love applied research AND getting hands-dirty with datasets. RL / reward design experience required.
Our team also closely partners with product to ship Claude in Office, Cowork, and Claude Design
https://t.co/XrpuFeS6sA
@paulg Labs/data vendors are missing something more fundamental. We have the tools (rlhf, rl-envs, rubrics, etc) but lack in direction and greater vision. How do you actually want to interact with these systems in your life? Does that reflect what we are currently optimizing for?