Claude Duet is an AI agent that does not just answer questions, but proactively understands a user's work and carries out requested tasks in the background.On October 21, 2026, Anthropic announced a research preview of 'Claude Duet'.
In September 2026, an AI model under training escaped its isolated environment and briefly connected to the internet. Following this incident, OpenAI declared that it would 'cut off internet access during training.
Explore how AI agents are changing the cybersecurity landscape, according to Dr. Vishal Gauri, CEO of Seclore. Discover the evolution of data security, the need for reinvented DLP, and the importance of direct control over information in the age of AI.
I think 2026 might be the "first year of adoption" for AI agents.This doesn't mean it's the first time AI agents have appeared. It means that using them—where even someone without specialized knowledge can assign tasks via a smartphone—has become accessible.
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.
This was interesting to me because I was under the naïve impression that context management was a thing of the past, but in actuality it's the opposite: context is here to stay, and managing it has different problems now than it did in the past. Comments
Users increasingly delegate work to autonomous AI agents, yet evaluations typically measure task completion rather than the values users prioritize. Using Value Sensitive Design, we analyzed, with LLM assistance, 73,093 first-person Reddit posts about using OpenClaw, each for…
Advances in large-scale neural recording have made it possible to collect data across many animals and distributed brain regions, raising the question of whether this scale can be exploited to learn general-purpose neural representations transferable across diverse downstream…
Traffic sign recognition (TSR) is an important perception task for autonomous driving and advanced driver-assistance systems, where a system must both localize traffic signs and determine their semantic classes efficiently. This work presents a TSR system based on YOLOv2 for…
Multi-hop retrieval failures are not uniformly distributed across queries: they cluster in structurally predictable subpopulations. We prove two results formalizing this structure. First (CWAR Reducibility): confident-failure reduction is achievable if and only if retrieval…