building p7k @pragmatik_labs | ❤️ 🍵 ☕️

Joined December 2015
most cases i saw for argon are about visualization. how does it perform on other tasks?
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nyc style
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it is always super hard to find a good angle to take a satisfactory picture. just step back and blow up like 3x or even 5x, u will find that the picture looks much better
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just checked hf daily papers sept ranking, dpsk v4.1 flash only has 191 upvotes? ridiculous, it is the greatest paper of sept
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i mean, the ranking is corrupted and causes me much trouble filtering papers
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Junyang Lin retweeted
Do you really need to finish every rollout in RL for LLM? Not if you make your critic better—and trust it! We propose Actor-Critic with Action Chunking (AC2): use a learned critic to score chunks of tokens => only need partial rollouts ⇒ train faster than GRPO!
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lol
Replying to @rasbt
Update: OpenAI just added a Jev clone 😆
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hope smarter than opus 5.5
GPT-6.1 Sol: near-Astra intelligence for a fifth of the price. It’s the most cost-efficient model for its performance available today.
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who the hell r u
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u guys r drinking too much! (this is not an ad for 农夫山泉
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this is an espresso?
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wen we try to accelerate u tell me to slow down? omg...
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u can do whatev u want. stop pretending u need any permissions. funny
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cuz people can suddenly write rust now (lol...
why did everyone suddenly decide specialized inference engines are a good idea? i've seen at least 5 of these released in the last month. what's wrong with vLLM/sgLang? sure you can generate a slop inference engine quickly now but why fragment the ecosystem? it's harmful.
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v4p back? k3-0.2?
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being a staff: the weekend is coming! being a boss: the weekend is coming?
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bringing too much complexity into model arch can cause unknown issues that can't be tested by evals even those internal ones. but nvm, sometimes people can take the small unknown costs for big benefits in efficiency as fm are becoming more and more focused on so called agentic tasks
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plz contact us only through [email protected] and check only the x and li of p7k and me (or if u can see my wechat moments)
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the reason why i post this is due to rumors and false info. we are not aggressively hiring. we do not jds. we are only interested in mts at this moment.
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