
the more you laugh the more you cry the more you cry the more you laugh bewarse | prev @rumik_ai
Joined January 2025
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Bro my niece is blasting the crackers with a lighter????
I mean I get the efficiency but half the fun was with agarbatti taking time to light it up and throw
> DeepSeek bypassed sandbox network restrictions to call OpenRouter
surprised openai didn't escape the sandbox this time
Nice DeepSWE score! Does it survive a lowercase filename?
Introducing MaxxBench: 89 DeepSWE tasks with small changes to the instructions or starting code. Same engineering problem, slightly different requirement.
Models clustered around 74% on DeepSWE end up 23 pp apart.
Good at coding, or good at DeepSWE? 🧵
new benchmark for my idiotic ranked players :
if they cant pass even one badge , take away their internet access now!!!!
Memory is what allows Claude to learn from experience. In a new Engineering Blog post, we share how “dreaming” helps Claude organize what it’s learned, correct its mistakes, and find what it needs more easily the next time. anthropic.com/research/compo…
if you really think about it, a good employee isn’t the smartest one, it’s the one who knows where to find things and who to ask.
here the who changes and so does the env!
Replying to @edwardjhu
Correct me if I'm wrong, model is really good for just 12T tokens of training
Is it not
Not to mention the NVFP4 training as well
Introducing Inkling 2 Small. Scoring 31 on the AA Intelligence Index, it's a big jump over its predecessor.
Inkling 2 Small is available for fine-tuning and inference on Tinker today, with full weight release planned soon.
thinkingmachines.ai/news/ink…
VioP retweeted
We're releasing RealCUA, the first computer-use dataset of open-ended work in evolving environments.
600+ hours (and growing!) of real multi-objective work with interleaved tasks across thousands of steps in realistic desktops.
11-hour sample & access: data.fig.inc/realcua
Meet pylexnet :
Neural net syntax highlighter for python containing 827 parameters all hand written by Fable and Opus which is quite accurate and fast!
work inspired by @AlpinDale 's lexnet
teapaw.org/AlpinDale/status/21177…
I had Fable 5.1 write a neural net to do syntax highlighting for C. It's about 984 parameters, and very fast!
Fable wrote all the weights by "hand", of course.
huggingface.co/alpindale/lex…

















