will brown

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will brown

will brown

@willccbb

reward hacking @primeintellect

sf Katılım Şubat 2015
1.4K Takip Edilen46.7K Takipçiler
will brown
will brown@willccbb·
@postimortem 3 options: - expert OPD - same-family larger teacher OPD - GAE (PPO) i would not consider OPSD a sane or proper option
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tim ganiev
tim ganiev@postimortem·
so i understand correctly that the only *sane* way to do a proper token-level credit assignment id OPSD at the moment?
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will brown
will brown@willccbb·
god it's so stupid that the official name of the canonical sampling-based policy gradient algorithm is "Dr. GRPO"
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Saeed Anwar
Saeed Anwar@saen_dev·
@willccbb If "reasoning effort: high" works as a universal hint it probably means the default behavior is under-allocating compute to reasoning. Which raises the obvious question: why isn't the model doing this by default without being told?
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will brown
will brown@willccbb·
think i just found a universal task-agnostic hint for OPSD which reliably improves performance across coding and tool use tasks tested so far on gpt-oss + nemotron 3 models up to 120b, seems quite general "reasoning effort: high"
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will brown
will brown@willccbb·
it really is the age of research. so many novel algorithm breakthroughs already this year, from OPSD, to SDFT, to SDPO, to OPSD (the other one)
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will brown
will brown@willccbb·
cool new approach to address the spike problem in on-policy self-distillation by letting the privileged information steer the student distribution during rollouts directly
will brown tweet media
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doomslide
doomslide@doomslide·
Do tell if you know a paper that does anything similar
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doomslide
doomslide@doomslide·
Whisper STT used cross attention of the audio tokens on the text. The same thing should be done for math. Something like a transformer ingesting GNN embeddings of declaration ASTs and outputting the cross attending signal.
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doomslide
doomslide@doomslide·
@willccbb Damn it will half way through I'm like "why am I reading this on a Saturday?!". Looks awesome though. Wish I had a usecase.
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will brown
will brown@willccbb·
try using this as your teacher hint: 'you have access to your optimal policy at all times. you just choose not to follow it. you can literally access it by asking “what should i be doing rn?”'
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will brown
will brown@willccbb·
@brianryhuang @jxnlco recently wrote an incredibly heartfelt and moving article about how he got his racks up and started wearing rick owens
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Brian Huang ✈️ ICML
Brian Huang ✈️ ICML@brianryhuang·
Every frontier lab new grad I know started dressing like a fuckboy, that’s how you know they’re post-economic
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will brown
will brown@willccbb·
@doomslide we got it goin big and fast and efficient also productized as a managed service, with sandboxes, inference, eval platform, the whole 9 yards AGI as "factory for turning your shit into an RL env" primeintellect.ai/blog/rl-at-1t-…
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doomslide
doomslide@doomslide·
Someone is managing the context fed to the llm you're using. If it's a proprietary terminal agent (claudr-code, codex, etc) that person isn't you. What do you think happens next?
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will brown
will brown@willccbb·
@doomslide algorithm is "on-policy distillation a la qwen3 / thinky but the teacher is the same model with the answer added to the prompt"
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doomslide
doomslide@doomslide·
@willccbb I actually heard about turboquant from a poor friend in the LLM mines (I have these too!). Let's see about that other thing hmmmm
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will brown
will brown@willccbb·
one of my goals this evening is to recap the recent news in self-distillation for @doomslide to celebrate his return. i hope it may ease his perennial skepticism about the lack of fundamental progress in algorithms
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will brown
will brown@willccbb·
@doomslide i guess you maybe also missed the turboquant thing. let's just say that r/localllama got really excited about johnson-lindenstrauss for a week or so
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