Congrats to the @cursor_ai team on the launch of Composer 2!
We are proud to see Kimi-k2.5 provide the foundation. Seeing our model integrated effectively through Cursor's continued pretraining & high-compute RL training is the open model ecosystem we love to support.
Note: Cursor accesses Kimi-k2.5 via @FireworksAI_HQ ' hosted RL and inference platform as part of an authorized commercial partnership.
If you want PhD, sleep.
If you want idea, sleep.
If you want offer, sleep.
If you want paper, sleep.
If you want reward, sleep.
If you want breakthrough, sleep.
If you want collaborator, sleep.
Please sleep well.
HCI venues need to seriously consider making their review processes more public than they are now. Going forward, less transparency may only hinder our ability to perform similar meta-analyses to diagnose problems as peer review demands expand.
I moved to the US in 2001. Really changed my life. Truly a land of opportunity. With some luck, anyone from anywhere cud grab opportunities, work hard & accomplish things they never dreamed of. May the American dream eternally thrive. Happy 4th.
Ok a few quick things.
Most CS students who get into elite PhD programs in AI especially have already usually published multiple first author papers in "top" conferences. 1/
The reason I’m in America along with so many critical people who built SpaceX, Tesla and hundreds of other companies that made America strong is because of H1B.
Take a big step back and FUCK YOURSELF in the face. I will go to war on this issue the likes of which you cannot possibly comprehend.
Mechanistic interpretability is fascinating - but can it be useful? In particular, can it beat strong baselines like steering and prompting on downstream tasks that people care about?
The answer is, resoundingly, yes.
Our new blog post with @a_karvonen, Sieve, dives into the first counterfactual application of sparse autoencoders to a real downstream task, where we demonstrate Pareto dominance over existing methods.
A 🧵… ~1/8~
https://t.co/SF7cZ82haD