The Trump administration has filed a statement of interest in The New York Times’ copyright suit against OpenAI, siding with the AI company on fair use. Filed in December 2023, the case seeks billions in damages and could shape how content creators and AI labs handle training data.

MrBeast will feature Gemini, Google Health, and the Fitbit Air in upcoming videos as part of a multi-year partnership with Google. The deal kicks off on September 5 with a video showing Jimmy "MrBeast" Donaldson and his crew using Gemini to survive extreme environments including jungle, desert, and Arctic.

Gemini 3.8 Flash is positioned as the next-generation Gemini model for AI agents, reasoning, and cybersecurity. Its Product Hunt page is now live with discussion and links for further details.

Uber drivers from the UK, the Netherlands and other countries have launched a landmark legal action claiming they live in “constant fear” of a “soulless” algorithm used to set pay and allocate jobs. The lawsuit alleges the AI-powered pay-setting system breaches data protection laws and pushes down earnings, with potential compensation running into billions of dollars.

Chairs of key Australian federal parliamentary committees have warned that an influx of AI-generated submissions is introducing incorrect or hallucinated information into policymaking. Guardian Australia analysis found AI inventing studies and attributing nonexistent research to real academics, with some committee reports citing submissions whose sources appear largely to be AI hallucinations.

New York City Mayor Zohran Mamdani announced a one-year moratorium starting in the 2026-2027 school year that bars about 600,000 public school students in 2-K through eighth grade from using AI in classrooms. Teachers can no longer use AI to grade assignments, companion and mental-health chatbots are banned in all grades, and high schoolers face limits plus AI literacy classes. The policy also restricts personal screens and launches a small pilot with vetted AI tools in high schools.

FireDucks, a pandas-compatible DataFrame library from NEC, uses lazy execution, compiler optimizations, and multithreaded processing to accelerate data workflows. In a benchmark on 10 million rows, it beat pandas across all seven common operations, with sorting 20.77x faster and a geometric mean speedup of 7.28x.

Anthropic has announced Fable 5.1, cutting cache read pricing, and says the model is comparable to Mythos 5.1 but with different safeguards.

We want to hear from people living near proposed or existing AI datacentres in the UK. The SNP and the Greens have backed a moratorium on new AI datacentre developments amid growing backlash, while about 450 large datacentres already operate across the country.

OpenAI faces 30 new lawsuits filed on behalf of victims of the Tumbler Ridge mass shooting, alleging that its ChatGPT chatbot induced the shooter to carry out the attack in rural Canada in February, killing eight people and wounding dozens more—most of them children. The company says it prioritizes safety.

Drawing on his experience designing a digital control system for a U.S. nuclear plant and on lessons from aviation, the author argues that AI-driven efficiency is eroding the apprentice path that creates expert engineers. He proposes deliberately preserving manual steps—what he calls “manual gates”—in AI-augmented workflows, so junior workers keep building the judgment they will need when automation fails.

Deploying agentic AI in enterprises requires addressing hallucinations, non-idempotent operations, and state synchronization. This article presents five real-world applications including site reliability engineering, ERP exception handling, compliance review, data migration, and security operations, emphasizing the importance of deterministic constraints to bound non-deterministic reasoning.

As more companies turn to AI, freelancers are being hired to clean up its mistakes rather than create original work. A freelance graphic designer in Spain reported that by 2025, 90% of her logo and packaging design requests involved cleaning up AI-generated content, accounting for 60-70% of her annual income, but the work was exhausting with lowballing clients and copyright concerns, leading her to start turning down such jobs.

ATV Big Air Tour uses ChatGPT Work to accelerate marketing, merchandising, and more — even turning product photos into an inventory website in 15 minutes.

Local LLM model names like 'Qwen3.8-27B-A3B-It-2507-gguf-q2ks-mixed-AutoRound' look cryptic but each segment conveys crucial details. This guide breaks down meaning of parameter count, MoE architecture, active parameters, Base/Instruct tuning, weight precision (FP16/BF16), quantization (Q4/Q8), quantization variants (e.g., Q4_K_M), and file format (GGUF) to help you choose the right model.

Causal is an AI-powered canvas for planning visual projects. Its Product Hunt listing includes a discussion section and a link for users to learn more and engage.

BrickForgerAI is a Product Hunt tool that converts any prompt into a real, buildable brick set, letting you move from an idea to physical bricks you can actually assemble.

Anthropic announced Enterprise Frontier Safeguards on September 1, 2026, an architecture that stores monitoring data in the customer's own cloud account rather than Anthropic's. Detection stays automated and Anthropic-run; custody, encryption keys, and flag review stay with the customer. Built with more than 100 enterprises and rolling out in phases this fall.

Doop is a design tool that enables designers to work with AI agents in real-time on a shared canvas. It was recently featured on Product Hunt, sparking community discussion.

Paint.NET's author, Rick Brewster, reveals that to run on WINE, they used Claude, an AI tool, to create a clean-room reverse-engineered rewrite of Direct2D. This 180,000-line codebase is described as a product of 'vibe coding,' lacking thorough review, yet Claude's reverse-engineering prowess was impressive, albeit requiring substantial babysitting.

Hundreds of university staff were stationed at picket lines on Wednesday, calling for stronger protections around the use of AI. The same week union members agreed to a 24-hour strike, an internal survey showed that in the faculty of arts and social sciences, 0% trusted the university to act in the best interests of staff and students.

Communities from Scotland to India are resisting datacentres they feel were imposed on them, warning of threats to energy supplies and the climate. Since ChatGPT, big tech has lobbied for massive new facilities, which governments deem essential for AI. Campaigners argue datacentres drain resources and worsen the climate crisis. The Scottish National Party and Greens back a moratorium. Today's briefing explains why.

Perplexity has launched hybrid compute on Mac, splitting a single task between cloud frontier models and a local on-device model, with a privacy gate that protects sensitive data before it reaches the cloud. The feature is available to Pro, Max, and Enterprise users on Apple silicon Macs. Perplexity also open-sourced PII-Tracer, the classifier behind the gate, demonstrating strong performance in benchmark tests.

Matt Clifford, who authored the UK's AI action plan and advised Prime Ministers Starmer and Sunak, has been hired for a senior role at US AI startup Anthropic, a year after leaving his government advisory position.

AM-Bench is a modular simulation suite and benchmark for multirotor-based aerial manipulation policy learning. It provides diverse robot embodiments (underactuated, fully actuated, overactuated), 12 tasks across contact, transport, and constrained interaction, and configurable aerodynamic disturbances and actuator saturation. The benchmark enables system-level evaluation of how embodiment, control, disturbances, and policy choices interact, demonstrated through simulation studies and real-world validation.

The paper presents DSG, a framework for constructing dynamic 3D scene graphs in indoor environments. It uses a semantic-aware 3D Gaussian representation and dual-view rendering to detect object changes, and multi-granularity visual context for spatial relationship reasoning. A new benchmark, DynTHOR, is introduced. Experiments show DSG outperforms existing methods in node construction and relationship reasoning, improving accuracy.

Researchers developed a system of two wearable pneumatic haptic devices that supports continuous, closed-loop, bidirectional tactile interaction at perceptually relevant force and temporal scales. Each device can contain up to twelve pressure sensing channels connected to textile-based pneumatic pouches, with each channel usable as a sensor, actuator, or both. Device-level characterization shows force bandwidth exceeding 30 Hz, fast and well-damped step responses, and extended pressure retention compared to prior compact pneumatic platforms. Human studies demonstrated that pressure-based fingertip feedback enables discrimination of force and stiffness, improves teleoperated manipulation by reducing applied pressures by up to 23.1% and task duration by up to 27.4%, and lowers subjective me…

Language-driven dexterous grasp models like DextER fail systematically when instructions specify where not to grasp. We introduce an inference-time framework combining Sequential Monte Carlo with classifier-free guidance to handle such negations without extra training data. A frozen 3D grounding model localizes forbidden parts. We build the NegGrasp benchmark with paired positive/negative instructions and constraint-aware metrics. Our method reduces violation rate from 57.9% to 17.2% while improving success rates.

Researchers present a framework that allows quadruped robots to exploit their nonlinear dynamics to generate multiple natural gaits without dedicated controllers. By identifying six nonlinear normal modes (NNMs) on the eBert robot and using black-box optimization to set step length, they show how each NNM evolves into a distinct gait with different speeds. Experiments demonstrate that eBert can use its mechanics for task-specific movements, potentially paving the way for new agile and efficient robots leveraging embodied intelligence.

This research introduces a markerless interaction framework and a dedicated cross-device dataset to study cross-device alignment in gaze-based assistive manipulation. It proposes Graph-based Reference Selection and the Gaze-Surface Intersection Error (GSIE), showing that alignment methods ranked highly by conventional pose metrics are not always optimal in task-level performance.