Nestas linhas, o debug está na própria Lucia. E duas delas mudam tudo: 1️⃣ Sistema de carregar corpos, com slots e grips adaptativos: A locomoção dela roda fireman_carry:Idle via CLIPSET@GAMEPLAY@INTERACTION_PED@CARRY@LOCO@IDLE. Até aí, esperado. Mas abaixo aparece: CARRY_SLOT(0)[HUMAN_CHEST]: State_Grip(DefaultGrip) zz_female_172cm Destrinchando cada parte: SLOT(0) -> existe um índice, o que implica múltiplos slots. Talvez carregar um corpo no ombro e segurar algo com a outra mão simultaneamente. HUMAN_CHEST —> o ponto de pegada é definido no peito do corpo carregado, não numa posição fixa. DefaultGrip —> há variantes de grip, sugerindo formas diferentes de segurar dependendo do contexto. E o objeto carregado se chama zz_female_172cm, nomeado pela altura. As animações de carregar provavelmente se adaptam ao tamanho do corpo. É o sistema de RDR2, mas generalizado e paramétrico. 2️⃣ Fósseis do engine, e o que eles revelam: No topo do log, em vermelho: INPUT_HORSE_EXIT has been DISABLED by UNKNOWN. Input de descer do cavalo. Desabilitado. Não é spoiler de cavalos no GTA VI, é um fóssil do RAGE. O engine veio do RDR2 e os bindings de input sobreviveram na base de código. Um lembrete direto do parentesco tecnológico entre os dois jogos. Outros detalhes: GroupSize[1] com endereço de grupo ativo —> o sistema de companheiros/grupos está presente, e é a estrutura que sustenta a dupla Lucia/Jason. Scale (0.94) aparece de novo —> até a protagonista tem escala individual, nada é hardcoded.

v1.1.0 Update (新手法) ✅ LPCD (Fujitsu) : サブモジュール単位で同時最適化する次世代PTQ ✅ BlockWisePTQ: クロスブロック最適化 ✅ JointQ強化 (Fujitsu) : 重要度ベース正則化 ✅ AutoBit拡張 (Fujitsu)：mixed groupsize arxiv.org/abs/2512.01546

If you are using affine 4 bit quants vs. something like q4_K_M, then yes. The affine quants are equivalent to q4_1 and default to a groupsize of 64 which is a lower bit rate than the K quant. This is why we've been using nvfp4 for Ollama which has a smaller groupsize (of 16)

FYI 150k rubric judgements is just 5000 sample RL training run at groupsize 32. This is like, literally nothing. Fear mongering. DeepSeek gets such a bad rap because Anthropic and our labs are complete shitbags

##Chimpanzees in larger, more tolerant groups sustain shared resources more effectively, highlighting the importance of #GroupSize and social dynamics in cooperative problem-solving. doi.org/hbkzbz phys.org/news/2026-01-chimpa…

for groupsize = 64 / 32 / 16, GRPO also crashes in this multi-turn code integrated reasoning task.

for groupsize = 64 / 32 / 16, GRPO also crashes in this multi-turn code integrated reasoning task.

Or for scalar rewards is the amount of bits limited to the griupsize, since you can only end up with (groupsize) set of score values?

Can you explain where the request form of n=16 for a groupsize of 16 going to vllm and sglang endpoints would go then? In atropos the job is to make requests, receive text, verify rollouts, tokenize them to send to the trainer with their advantages. There's an API component and an Environment component, the API component aggregates the tokens and advantages to send to the trainer when a batch is consolidated. We already have 3 repos internally - a trainer, atropos, and a modified sglang - not sure where this 4th abstraction should be if it will just re-encompass the environment anyways

no, can be just literally shortest ones. Say rather than sampling a groupsize of 8, you sample 32 and keep 8 shortest. (We also run while keeping the best in terms of accuracy/length, and that also works very well)

and then the groupsize exceeded 500 people, and we needed something called "money" for economic communication. It's as simple as that.

Hmm I think @max_paperclips did this technique in one of their environments already, maybe the internal tool calling one. We also have an "SFT Environment" that is just a groupsize 1 env that mixes SFT data into the RL batch which seems to be very promising

you can btw totally set up GRPO with groupsize 2N, and for each of the N full generations try closing </thought> at say X% of the CoT and verify the final answer; that would totally promote this behavior at inference time

What are your goals? Groupsize, age?

Behavioral diversity and agonism are higher in larger groups among wild Costa Rican capuchins #Sociality #GroupSize #Mammal #NonHumanPrimate doi.org/10.1093/beheco/araf0…

🐰 Just hit Day 200 on @LeetCode! Solved the "Rabbits in Forest" problem today. ✅ Used a HashMap to group answers 🔢 Calculated minimum rabbits using group math 🧠 Applied "Math.ceil(count / groupSize)" to handle overlapping groups #LeetCode #Javascript

Don't forget to set your groupsize to the number of available lanes (32 on Nvidia, 64 on AMD) otherwise you'r underutilizing the gpu.

the terminology confused me so much i stg. I feel like numthreads(x,y,z) should be called groupsize(x,y,z) or something. also SV_GroupID != SV_GroupIndex is uh, a choice and,, why are coordinate-like things called IDs in the first place help ;-;

7/ W tej próbce możesz usłyszeć porównanie mowy wygenerowanej w VALL-E i VALL-E 2 ze zmienionym GroupSize.

today's #leetcode question got me thinking hard, not a difficult question per say but the challenging part was to convay the thought process into code. Time -> O(nlogn n*groupsize) Space -> O(n) let me know if there is a better approach than hashing!