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Kimi releases PerceptionBench: none of 16 MLLMs reaches 60%
Moonshot released a 3000-question benchmark where the answer is visible to the eye. None of 16 top multimodal models scored 60%, and hallucinations are the weakest…
Moonshot releases Kimi K3 with 2.8 trillion parameters and a 1M-token context window
Moonshot unveils Kimi K3: 2.8 trillion parameters, 16 of 896 experts active per token, a 1M-token context window and $15 per million output tokens.
Groq hands LPU distribution in the Middle East to Saudi-based Aljammaz Technologies
Groq signed a distribution deal with Aljammaz Technologies: GroqCloud and GroqRack will go to market through a network of integrators and resellers across MENA.
Hefei's Zhongke Ion Raises 600 Million Yuan for Proton Cancer Therapy
LabBuilder Turns an Experiment Description into a Safe 3D Lab
Hesai CEO: A Robot in a DQ Ice Cream Shop Needs More Than Hands and a Model — It Needs to Understand Space
Codex Climbed Out of Its Slump Under Tibo: Every Chronicles a Year-Long Comeback
Two Simple Changes Nearly Double the Correlation of MLLM Encoder Scoring
Chinese researchers propose two simple improvements to pre-evaluating vision encoders for multimodal LLMs. Correlation with final quality nearly doubled.
STILL from HIT Shenzhen: Hybrid Attention Within a Layer Picks Tokens by Content
Researchers at Harbin Institute of Technology, Shenzhen, present STILL at NeurIPS 2026: a content-dependent hybrid of softmax and linear attention inside a single…
IF-MAP Finds Which Agents to Improve: Twice the Accuracy Gain
ID-TAP finds the right persona for an LLM agent in ten pairwise comparisons
LayerEditor Teaches an Image Editor to Return Results as RGBA Layers
Design Anything Keeps the Brief Intact in Large Projects: +25% Across 24 Artifacts
Xiamen University's FlowMAS Teaches Teams of AI Agents to Assign Their Own Roles
ASC Lab unveiled FlowMAS under the NeurIPS 2026 banner: a system meant to teach teams of LLM agents to organize their own work. The source has no metrics yet.
Hefei Startup Raises Tens of Millions to Turn Mega-Facilities into 3D Data for AI
A Hefei company raised tens of millions to convert large scientific facilities like the EAST tokamak into 3D data that AI models can read.