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Senator Steve Padilla (D-CA) introduced a bill on Monday that would place a four-year ban on the sale and manufacture of toys with AI chatbot capabilities for kids under 18. The goal is to give safety regulators time to develop regulations to protect children from “dangerous AI interactions.” “Chatbots and other AI tools may become integral parts of our lives …

Boston Dynamics CEO: we’re in a scaling evolution Boston Dynamics CEO Robert Playter believes the robotics industry is evolving out of that niche stage and into scale. Playter made the comments while on a panel at CES 2026 with some other high-profile folks, including Nakul Duggal with Qualcomm, Google DeepMind senior director Carolina Parada, and General Motors’ director of robotics …

Over the past few days, France and Malaysia have joined India in condemning Grok for creating sexualized deepfakes of women and minors. The chatbot, built by Elon Musk’s AI startup xAI and featured on his social media platform X, posted an apology to its account earlier this week, writing, “I deeply regret an incident on Dec 28, 2025, where I …

a , a deep learning model is executed on a dedicated GPU accelerator using input data batches it receives from a CPU host. Ideally, the GPU — the more expensive resource — should be maximally utilized, with minimal periods of idle time. In particular, this means that every time it completes its execution on a batch, the subsequent batch will …

was co-authored by Sebastian Humberg and Morris Stallmann. Introduction      Machine learning (ML) models are designed to make accurate predictions based on patterns in historical data. But what if these patterns change overnight? For instance, in credit card fraud detection, today’s legitimate transaction patterns might look suspicious tomorrow as criminals evolve their tactics and honest customers change their habits. …

[Submitted on 29 Nov 2023 (v1), last revised 30 Dec 2025 (this version, v3)] View a PDF of the paper titled Are Ensembles Getting Better all the Time?, by Pierre-Alexandre Mattei and 1 other authors View PDF HTML (experimental) Abstract:Ensemble methods combine the predictions of several base models. We study whether or not including more models always improves their average …

had launched its own LLM agent framework, the NeMo Agent Toolkit (or NAT), I got really excited. We usually think of Nvidia as the company powering the entire LLM hype with its GPUs, so it’s fascinating to see them go beyond hardware and step into the software space as well. There are already plenty of LLM agent frameworks out there: …

arXiv:2512.23284v1 Announce Type: cross Abstract: Given the central role of green e-molecule imports in the European energy transition, many studies optimize import pathways and identify a single cost-optimal solution. However, cost optimality is fragile, as real-world implementation depends on regulatory, spatial, and stakeholder constraints that are difficult to represent in optimization models and can render cost-optimal designs infeasible. To address …

with AI is an effective way of increasing coding speed. AI agents can handle a lot of the simple and repetitive tasks, while you can act as an orchestrator for your agents. A problem I often encounter, however, is that I have more context in my head than an AI agent could ever have. This could, for example, be: Business …

OpenAI is looking to hire a new executive responsible for studying emerging AI-related risks in areas ranging from computer security to mental health. In a post on X, CEO Sam Altman acknowledged that AI models are “starting to present some real challenges,” including the “potential impact of models on mental health,” as well as models that are “so good at …