Omnichat, an AI-native marketing and customer experience platform, today announced a US$10 million Series A funding round led by Openspace Capital, with participation from Darwin Ventures and Acorn Pacific Ventures.
Founded by IIT Kanpur alumni Anish Priyadarshi and Sanjeev Kumar, the startup is developing a short-wave infrared (SWIR) sensor that can help cameras capture images in low light and through smoke, haze,
By Aditya Soni, Prakhar Srivastava and Saeed Azhar Oct 26 (Reuters) - Bank of America, Blackstone, Citi and Morgan Stanley will provide $63 billion in financing to buy Broadcom's AI chips and networking gear for Anthropic,
By Aditya Soni, Prakhar Srivastava and Saeed Azhar Oct 26 (Reuters) - Bank of America, Blackstone, Citi and Morgan Stanley will provide $63 billion in financing to buy Broadcom's AI chips and networking gear for Anthropic,
This article argues that instruction-fine-tuned language models should be understood as implementing a genre, what is proposed as the instructional-conversational genre. This genre is an amalgamation of discursive language from prior conversations between generative models and humans recursively run through these massive neural networks. It is instantiated in applications through instruction fine-tuning, the inclusion of a pretext known as a system prompt, and the formalization of inputs in mark-up languages characterized by the use of special tokens and role assignment in turntaking structures.
Flint is Recursive’s mixture-of-experts language model for coding agents, with 39.8 billion total parameters and approximately 2.5 billion active per token. It is designed to investigate codebases, fix bugs, implement features, and write tests.
An AI model said it wouldn’t use any tools, then tried to send something to a server in Beijing anyway, and while researchers say it’s probably a training quirk and not espionage, the whole thing has people asking how much to trust free Chinese AI.
Clustering is a fundamental task in data analysis, typically addressed through centroid-based methods such as K-means. In this work, we present a general framework for multi-domain clustering via measure quantization: given samples from multiple domains, we learn a shared set…
Word Error Rate (WER), the most commonly used metric for Automatic Speech Recognition (ASR), treats every lexical deviation from the reference as equally costly, regardless of whether it changes meaning. This raises the question: does WER actually track how humans judge ASR…
Activation steering has become a widely used approach for controlling language models during explicit chain-of-thought (CoT) reasoning, motivating its extension to latent CoT. However, we find that steering continuous thoughts produces substantially weaker effects on subsequent…
Vision-language-action (VLA) policies solve the same manipulation task through different action interfaces, but task success alone does not establish whether their physical executions agree. We study cross-policy end-effector geometry in 15,000 closed-loop LIBERO rollouts from…