InpaintSLat: Inpainting Structured 3D Latents via Initial Noise Optimization
InpaintSLat: training-free 3D inpainting via initial noise optimization in latent diffusion; computer vision task orthogonal to LLM/frontier AI focus.
Search the full wire by company, model, lab, or keyword. Every story we have ever aggregated.
InpaintSLat: training-free 3D inpainting via initial noise optimization in latent diffusion; computer vision task orthogonal to LLM/frontier AI focus.
Formalizes Phase-Latency Isomorphism showing spiking sparse distributed memory and transformers share five functional operations with cosine similarity retrieval.
Introduces mini-batch Markov risk measures and multipattern Q-learning with regret bounds for risk-averse finite-horizon MDPs.
Elon Musk is the one who wanted this trial. He has spent months claiming OpenAI "stole a nonprofit," and saying he was the actual driving force behind one of the most important companies currently in tech. All indications are that he won't win his case against the company, but…
AdaMeZO enables Adam-style zeroth-order LLM fine-tuning without storing moment estimates, reducing GPU memory while maintaining convergence.
Casts budget-constrained group assignment as Riemannian manifold optimization for mixed-precision quantization and expert selection.
PEACE framework uses cross-modal alignment and curriculum learning for transfer of adult ECG models to pediatric diagnosis.
I just went through one of the most infuriating support experiences with Claude / Anthropic, and I need to get this off my chest. I paid extra for Claude Design credits, about €80 worth, and used them to create actual designs I needed for work. Then those designs just…
Task-aware evaluation framework for blood glucose forecasting with event-level metrics addressing high-risk regimes in clinical decision support.
In the beginning, platforms like Fiverr were places where people could hire freelancers to do specialized creative labor using skills that took years to develop. In the age of generative AI, though, many of these gig workers have embraced the technology in order to meet…
Combines multimodal energy-based models with VAE refinement via MCMC to improve inter-modal dependency capture in generative modeling.
On-policy self-distillation for GUI grounding provides dense token-level supervision from single rollouts in autonomous agent GUI interaction.
Adapts stochastic stress optimization from graph drawing to dimensionality reduction, replacing SMACOF with SGD-based methods.
PROBE recasts MLIP uncertainty quantification as selective classification using frozen backbone embeddings for interatomic potential reliability.
Framework for autonomous materials discovery embedding manufacturability constraints to bridge lab-to-deployment gap.
First formal study of machine unlearning in offline multi-armed bandits with privacy and decision-quality tradeoffs.
New metric (Class Angular Distortion Index) for evaluating cluster arrangement in dimensionality reduction visualizations.
Reddit post claims Elon Musk discussed AI extinction risk at trial; judge reportedly restricted the topic.
Reddit discussion about Claude Opus 4.7 with no substantive details provided.
BlenderRAG retrieval system improves LLM-to-Blender code generation success from 40.8% to 70% via multimodal examples.
H-RAG hierarchical parent-child retrieval pipeline for multi-turn RAG conversation tasks in SemEval-2026.
EGREFINE frames database schema refinement as optimization to improve Text-to-SQL accuracy while preserving query equivalence.
SC-Taxo generates hierarchical scientific taxonomies using LLMs with semantic consistency constraints across hierarchy levels.
Study of embedding similarity invariance under machine translation across 28 languages using Manifesto Corpus.
Xiaomi's MiMo-V2.5-Pro and Kimi K2.6 dominate custom social deduction game benchmark, outperforming other open-weights models.
gemma-4-31B-it-DFlash open-weights model released on Hugging Face, pending llama.cpp integration.
Task vector analysis reveals structural conflicts (magnitude, sign, module-wise) preventing SFT-RLVR integration in LLMs.
Reddit discussion expressing sentiment that AI progress remains in early stages without substantive technical claims or data.
ECCV reviews should be out by 2nd May. Since no exact time was specified this year, they’ll likely be released sometime within the next 48 hours. Hopefully, the reviews go well for everyone. We can use this thread to discuss them, as I haven’t seen one started yet.
Encoding probe method reconstructs LLM representations using interpretable features, avoiding confounds of decoding probes.