Nanbeige4.1-3B explores whether a 3B model can reason, align, and act as a general model; MiniCPM-SALA (426 likes, 2569 downloads) targets similar small-model general capability — both push the floor of useful model size.

Nanbeige4.1-3B and MiniCPM-SALA both target general capability at 3B scale — next bottleneck is whether agentic tool-use and multi-step reasoning hold up at this size.

Multiple users report Flux 2 Klein 9B outperforming Qwen Image for editing consistency and LoRA trainability at 4 inference steps, with successful style LoRAs at rank 32 over 7000 steps on Runpod.

ComfyUI custom node renders pose, depth, normal, and canny batches from FBX/GLB animation files (Mixamo) in an interactive 3D viewport for ControlNet conditioning.

GameDevBench evaluates multimodal coding agents on game development, FeatureBench benchmarks agentic coding for complex feature development, and CodeRLM uses tree-sitter indexing to improve how LLM agents navigate codebases.

Multiple benchmarks now test agents on multi-file feature-level coding rather than single-function tasks — next bottleneck is reliable multi-step planning across large codebases.

MetaphorStar applies visual RL to image metaphor understanding, while Reinforced Curriculum Pre-Alignment uses RL-style curriculum for domain-adaptive VLMs — both use reinforcement signals to improve visual reasoning beyond supervised fine-tuning.

Six-month follow-up on the Attempt-to-Persuade Eval shows GPT and Claude improved on harmful persuasion resistance while Gemini regressed.

Probing 6 open-weight LLMs (7B-9B) via hidden state projections onto contrastive axes reveals instruct fine-tuning creates measurable behavioral constraints detectable without prompting.

Three papers independently address VLA model brittleness in contact-rich manipulation: RISE adds a compositional world model for self-improvement, ABot-M0 uses action manifold learning across hardware, and MolmoSpaces provides a large-scale ecosystem for navigation/manipulation.

Three concurrent papers attack VLA fragility in dynamic manipulation via world models and action manifolds — next bottleneck is sim-to-real transfer fidelity for contact-rich tasks.

MOSS-Audio-Tokenizer scales discrete audio tokenization for future audio foundation models (47 likes), while Voxtral Realtime achieves sub-second latency streaming ASR matching offline quality — both address the bottleneck of integrating audio natively into LLM architectures.

MOSS-Audio-Tokenizer targets scaling tokenizers beyond pretrained codec limitations while Voxtral hits sub-second streaming latency — next bottleneck is joint speech understanding and generation in a single LLM pass.