SPARETECH announced on November 10, 2026, that it had raised $20 million in Series B funding co-led by Blume Equity and Insight Partners, with participation from Headline. The company will use the capital to develop AI
ChainCatcher report, according to Dajia Ribo, at 20:30 on November 10, Luo Yonghao will make his debut in the "Jiao Ge Pengyou" live stream to promote TRAE, an
Timo Zhang's Blind LLM Agents project hardens shipped packages, command-line tools and WebAssembly modules with transforms and decoys to raise the cost of LLM-aided reverse engineering, while its creator says it will not stop determined traditional reverse engineering.
America now buys far more computer and electronics gear from Taiwan than from China. One company sits at the center of that shift, and its sales just jumped 60%.
Ricursive Intelligence introduces Ripple-65B Preview, a 65B parameter dense Transformer model pretrained on 12 trillion tokens with support for up to 1M context length. Ripple-65B Preview delivers strong results on agentic coding, scoring 80.52 on TerminalBench 2.1 and…
When you deploy an agent, whether it is working is really several questions: did it finish the task, stay on topic, leak data, or skip steps? This post shows how to evaluate agents on Amazon Bedrock AgentCore with built-in, DeepEval, and AutoEval evaluators, and how to match…
Screen-recorded web editing requests contain weak deictic expressions such as ``this'' and ``there,'' whose referents depend on speech, cursor trajectories, page state, and edit history. Such requests require intent recovery beyond the explicit specifications assumed by many…
Long-form audio performance is often summarized by context length and aggregate accuracy, obscuring how language, evidence, and task jointly shape difficulty. We introduce MuLA-Bench: 5,038 open-ended questions over 1,769 in-the-wild recordings totaling 1,377.9 hours, covering…
The rapid advancement of generative AI raises concerns about the misuse of Multimodal LLMs (MLLMs) for large-scale disinformation campaigns on social media. Despite existing research on textual disinformation, a fundamental question remains unanswered: can MLLMs be exploited to…
Cache-based test-time adaptation improves CLIP predictions by storing and retrieving examples from the target stream while keeping the model frozen. However, existing methods largely treat the feature space used for image-image retrieval as fixed, leaving open how much…