Fashion

has become the single most effective approach for me to solve problems. Most problems I encounter at work can be solved effectively by utilizing agents. This is in contrast to manually solving tasks or coding up a solution yourself. In this article, I’ll give a high-level overview of how I approach problems and solve them using Claude Code. As an …

Earlier this month, Anthropic launched Cowork, a new agentic tool designed to take the benefits of its AI coding assistant Claude Code and transform it into a more general-use tool that non-coders could benefit from. Now Anthropic has launched a new feature within Cowork to make it even more powerful for enterprise users. Behold, the plug-in. The idea behind plug-ins is …

[Submitted on 22 Jan 2026 (v1), last revised 27 Jan 2026 (this version, v2)] View a PDF of the paper titled Feature-Space Adversarial Robustness Certification for Multimodal Large Language Models, by Song Xia and 4 other authors View PDF HTML (experimental) Abstract:Multimodal large language models (MLLMs) exhibit strong capabilities across diverse applications, yet remain vulnerable to adversarial perturbations that distort …

ServiceNow announced a deal with major AI player Anthropic just a week after it announced a partnership with OpenAI. Enterprise workflow software company ServiceNow has entered into a multi-year deal with AI research lab Anthropic on Wednesday. This partnership involves further embedding of Anthropic’s AI models into ServiceNow’s platform for its customers and bringing Anthropic’s AI to its employees. ServiceNow …

[Submitted on 7 Dec 2025 (v1), last revised 23 Jan 2026 (this version, v2)] View a PDF of the paper titled Cognitive Control Architecture (CCA): A Lifecycle Supervision Framework for Robustly Aligned AI Agents, by Zhibo Liang and 2 other authors View PDF HTML (experimental) Abstract:Autonomous Large Language Model (LLM) agents exhibit significant vulnerability to Indirect Prompt Injection (IPI) attacks. …

Industrial AI startup CVector built a brain and nervous system for big industry. Now, founders Richard Zhang and Tyler Ruggles are tasked with a bigger challenge: showing customers and investors how this AI-powered software layer translates to real savings on an industrial scale.  The New York-based startup has had some success following its pre-seed funding round last July. Its system …

We’re about to get our first real look at the results of the recently announced AI partnership between Apple and Google, according to Bloomberg’s Mark Gurman. Gurman reports that Apple is planning to announce a new version of Siri in the second half of February. Using Google’s Gemini AI models, this Siri update will reportedly be the first to live …

Railway, a San Francisco-based cloud platform that has quietly amassed two million developers without spending a dollar on marketing, announced Thursday that it raised $100 million in a Series B funding round, as surging demand for artificial intelligence applications exposes the limitations of legacy cloud infrastructure. TQ Ventures led the round, with participation from FPV Ventures, Redpoint, and Unusual Ventures. …

[Submitted on 25 Nov 2025 (v1), last revised 22 Jan 2026 (this version, v2)] View a PDF of the paper titled Interpretable Air Pollution Forecasting by Physics-Guided Spatiotemporal Decoupling, by Zhiguo Zhang and Xiaoliang Ma and Daniel Schlesinger View PDF HTML (experimental) Abstract:Accurate and interpretable air pollution forecasting is crucial for public health, but most models face a trade-off between …

[Submitted on 8 Dec 2025 (v1), last revised 21 Jan 2026 (this version, v3)] View a PDF of the paper titled On LLMs’ Internal Representation of Code Correctness, by Francisco Ribeiro and 3 other authors View PDF HTML (experimental) Abstract:Despite the effectiveness of large language models (LLMs) for code generation, they often output incorrect code. One reason is that model …