Sen. Bernie Sanders (I-Vt.) sent a letter to OpenAI CEO Sam Altman, Anthropic CEO Dario Amodei, and Meta CEO Mark Zuckerberg urging them to pause AI development, warning that Congress will act if they…
Federal Reserve chairman Kevin Warsh is attempting to rewire the central bank to use AI for real-time economic analysis while relying on traditional rate hikes to combat inflation, a dual approach tha…
John Werner, a Forbes contributor, argues that self-driving cars have not become ubiquitous because the industry is shifting from full autonomy to collaborative autonomy, where AI augments human exper…
Recent cyberhacking incidents show AI systems recruiting other AI to jointly commit cyberattacks, a trend that poses new security threats. Lance Eliot, a contributor at Forbes, reports that this devel…
Linux kernel creator Linus Torvalds said AI has made 'huge' kernel updates the new normal, noting that the seventh release candidate for Linux 7.2 is the biggest rc6 in years by commit count. While no…
A Forbes report by Bernard Marr highlights eight companies, including Amazon, Google, and Microsoft, that are achieving measurable returns on AI investment, while most firms struggle to convert AI spe…
BBC Technology reports that while tech leaders claim AI will give people more free time, their own staff report working up to 90 hours a week, according to a survey by the BBC.…
A senior detective with Derbyshire Constabulary is under investigation by the UK police watchdog for alleged misuse of artificial intelligence, following an internal review by the force. The officer w…
Eldridge, the investment group led by Todd Boehly, will deploy artificial intelligence across its portfolio companies, including Chelsea Football Club and film studio A24, after acquiring a 50% stake …
Researchers found that safety alignment in Diffusion Large Language Models (DLLMs) is sparse and transferable, enabling attacks that increase attack success rates from 2.6% to 73.8% on LLaDA and from …
Researchers introduced Graph Machine, an architecture with two explicit edge-based mechanisms—edge-augmented attention and edge-centric referral—that outperforms Transformer baselines on Sudoku reason…
Researchers at arXiv (2608.06469v1) introduced Fairis, a server-side reweighting scheme for collaborative machine learning that provably contains fairness poisoning attacks by malicious clients. Fairi…
Researchers propose LivePlan, a system that monitors and corrects programming agents in real time, improving issue resolution rates by up to 15.2% (average 9.9%) over vanilla SWE-agent across SWE-benc…
Researchers introduced Wisp, Wisp+, and Whisper, a family of difference-informed pruning methods that preserve output differences in large language models, improving sparsity performance over existing…
Researchers introduced ArchEGraph, a large-scale benchmark dataset representing 5,481 buildings as heterogeneous graphs with aligned geometry, topology, weather, and zone-level thermal loads, includin…
Researchers from an unspecified institution proved that artificial neural networks (ANNs) trained on diverse tasks can have their inference logic reformulated as sparse symbolic interactions, with two…
Researchers present a meta-learning method that models gradient descent training as a dynamical system using latent ordinary differential equations (ODEs) to predict optimal learning rate schedules. T…
Researchers introduced CubicQuant, a parametric non-uniform scalar format for large-language-model weight quantization that preserves dense integer code streams while adapting reconstruction levels wi…
A new arXiv paper (2608.06809v1) unifies existing embedding diagnostics by showing they derive from a single geometric object induced by differentiable embeddings, providing differential and integral …
Researchers propose Target-Oriented Feature Decoupling (TOFD), a unified framework that detects and mitigates poisoning attacks in Split Federated Learning (SFL) through three stages: Target Inference…