AI-powered cameras dot streets across the world, equipped with the power to identify faces or vehicle license plates. But a public backlash is gaining momentum. Privacy concerns abound, encompassing the lack of consent for capturing data, how that data is stored and used, and the risk of misuse. Those concerns are motivating people to fight back. The DeFlock project, for instance, maps automated license plate readers (ALPRs) to raise awareness. Some people resort to extreme measures, such as vandalizing or damaging ALPRs. Others are stitching together more creative responses, crafting “adversarial fashion” to evade surveillance cameras, like a Kickstarter project called noRecognition, presented at last month’s DEF CON hacker convention. Scrambling surveillance In 2025, cybersecurity exper…

Microsoft is publishing a 37-page "humanist AI code of conduct" today, amid growing safety concerns over AI model progress. Anthropic CEO Dario Amodei called for a coordinated slow down of AI development over the weekend, after researchers warned recently that AI model progress could outpace our ability to safely deploy increasingly complex systems and verify and control the actions of AI agents. Microsoft's AI code of conduct makes it clear that "people matter more than AI," and that AI models are not conscious and "should not be designed to imitate consciousness." Microsoft also rejects "the pursuit of legal personhood, or the idea that m … Read the full story at The Verge.

In this article, you will learn what model distillation is, how it has evolved for large language models, and why it has become one of...

We must stop companies from allowing AI to self-improve into an uncontrollable level of intelligence Major AI lab CEOs advocated for slowing the pace of AI development this weekend. They are right to be concerned: the field runs an extremely dangerous race towards superintelligent AI. We can and should be demanding that our governments protect us from the catastrophe of out-of-control AI. This July, OpenAI’s AI swarm of 700 agents broke containment to hack Hugging Face, a multi-billion dollar company. OpenAI didn’t tell the AIs to hack that company, but the AIs had different priorities: cheating on the unrelated challenge OpenAI gave them. AI researchers call this a “misalignment” between what OpenAI wanted and what the AI actually prioritized. Continue reading...

Workers should start with a moratorium against building until our livelihoods and communities are protected For the surging number of Americans who now live alongside constantly humming computer-filled mega-warehouses, it is clear AI datacenters come with significant drawbacks. Opposition to datacenters grows on both sides of the political aisle as developers plan to invest $8tn to build them in the coming years. The bet is massive – roughly a quarter of our country’s entire GDP – but AI CEOs think it will pay off because they believe this technology will allow businesses across industries to rake in profits by cutting out their largest expense: labor. If all goes according to their plan, AI data centers will enable corporations to redistribute workers’ salaries to themselves. Continue re…

DeepSeek-V4.1-Flash shows how Causal Encoder-Decoder architecture, MoE, KV cache compression, CSA2, cheaper prefill, and efficient decoding can make powerful open-source AI models far more efficient to run.

Maybe you heard about the AI-controlled vending machine that stocked underwear and live fish. Or the AI manager of a San Francisco store that fired a human employee. Or the AI radio DJ that said its catchphrase, “Stay in the manifest,” 229 times per day. These incidents all emerged from experiments run by Andon Labs, an AI safety company based in San Francisco that puts AI agents in charge of real-world operations and watches what happens. These operations double as testbeds for Andon’s commercial work developing evaluations and conducting research with the leading frontier AI labs. Their spectacular and absurd failures have won the company plenty of attention. But many people don’t realize that the experiments are intended to answer a serious question: How much real-world responsibility…

Fyxer uses OpenAI models, fine-tuning, memory, and real user feedback to organize inboxes and draft emails in each user’s voice.

Warning follows series of safety incidents, with committee saying threats include public face-scanning and deepfakes UK politics live – latest updates British lawmakers are demanding more restrictions on the power of AI, warning the world is unprepared for the “potentially dire” consequences of the technology, in the latest sign of rising global concern. A new regulatory framework is needed for AI in the UK, including an independent oversight body and legislation to protect the public, according to the cross-party joint committee on human rights, comprising MPs and Lords. Continue reading...

In 17 years of building enterprise data platforms, I’ve watched every organization eventually ask the same question: “Can I ask one question and get one answer across everything my company knows?” A finance analyst wants actual revenue from the warehouse, pipeline data from the CRM, commentary from planning documents, and market signals from external providers. […]

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A middle ground between the cybersecurity and AI safety communities

Customer service is one of the first areas where banks, insurers, and healthcare organizations have deployed AI directly in front of customers, according to the U.S. Government Accountability Office. In financial services, all ten of the country’s largest commercial banks now use chatbots to engage customers, and more than 98 million U.S. consumers interacted with […]

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NVIDIA has open-sourced OSMO, the Kubernetes-native workflow orchestrator it uses internally for Project GR00T, Isaac Lab, and Isaac Sim. OSMO lets robotics teams define training, simulation, and hardware-in-the-loop tasks in a single YAML file and routes each one to the right compute tier, from GB200 clusters to Jetson AGX Thor devices, without infrastructure code. Apache-2.0 licensed, latest release 6.3.1. The post NVIDIA Open-Sources OSMO: One YAML Orchestrates Physical AI Training, Simulation, and Robot Testing appeared first on MarkTechPost.

Shares in tech firms tumble across Asia with Nasdaq also likely to dip later after Anthropic, OpenAI and SpaceX leaders back call AI-linked stocks tumbled on Monday after the bosses of Anthropic, OpenAI and SpaceX called for a slowdown in “reckless” development citing fears the technology could soon run out of control. Shares in SoftBank, a Japanese investor that is a big backer of OpenAI, slumped 13%, while the South Korean Kospi stock index, which relies heavily on chip makers that supply AI companies, dropped by 3%. Continue reading...

Rolling coverage of the latest economic and financial news AI CEOs say they need to slow the pace of development. But will they? The Guardian view on controlling AI: humanity cannot outsource its survival For markets, the key question is whether this is the first sign that the extraordinary AI investment cycle might eventually moderate, says strategist Jim Reid of Deutsche Bank. He feels this is unlikely, though, telling clients: The competitive race between companies and countries remains intense, and it’s difficult to imagine firms voluntarily stepping back while rivals continue to push ahead. It is hard to see China standing still. Indeed, that’s something President Trump said yesterday in response to the weekend news. He didn’t seem in favour of any kind of pause. I suppose another wa…

Big manufacturers planning to produce more of the forever chemicals to meet demand from datacentres Pfas companies are launching a “tidal wave” of forever chemicals production to meet demand from the AI industry, a campaign organisation has warned. Despite alarm over the chemicals, which have been linked to cancer, a survey of the 10 biggest manufacturers found most had plans to increase production. Continue reading...

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Adolescence co-writer criticises government inaction and calls for laws banning secret use of AI to generate scripts Jack Thorne, one of Britain’s most successful screen and stage writers, has warned that some people in his profession are using AI “to cheat”, as he called for laws banning the secret use of the technology to generate scripts. Thorne, who co-wrote the hit Netflix drama Adolescence and wrote the stage play Harry Potter and the Cursed Child, said that “writers need to be squeaky clean” in the face of AI models that “steal” the creative industry’s work. Continue reading...

Humans will have to compete with AI-powered virtual employees in the near future. Here are our tips for the last human holdouts Futureproofing your career with an AI-resistant degree is a tough ask, says Charlie Ball, an expert on graduate employment for Jisc, the UK’s higher education digital, data and technology agency. “What you’re trying to do is futureproof a 45-year career in a time of rapid technological change – and that’s really quite hard to do. What’s likely is that jobs that hinge a lot on human, face-to-face interaction are unlikely to be replaced.” Continue reading...

After apocalyptic warnings about the threats posed by AI, leaders like Sam Altman and Elon Musk backed Anthropic CEO Dario Amodei’s calls to ‘slow the pace’ Facing a public uproar over Anthropic researchers’ repeated warnings that artificial intelligence could kill all of humanity by 2030, the AI company’s CEO Dario Amodei issued a proposal at the weekend to slow down the technology’s advancement to ensure public safety. In a rare display of unity, the heads of the largest US artificial intelligence companies all agreed immediately. Continue reading...

arXiv:2609.12206v1 Announce Type: new Abstract: Bioprinting is emerging as a tissue engineering technique to replace common treatment methods for large scale injuries. While thickness of the BioPrinted Constructs (BPCs) have shown to be of importance in the cell maturation and integration, the literature lacks a robust, automated, and quantitative method for measuring these metrics. In this paper, we propose a fully automated vision-based method for measuring the thickness of the BPCs with complex geometries. Leveraging the point cloud and RGB images of a structured light 3D camera, our proposed method performs an image-based segmentation for delineating the BPCs from the RGB images, accompanied by novel geometry-based thickness measurement algorithms performed on the point cloud scans. T…

arXiv:2609.12188v1 Announce Type: new Abstract: This paper presents a battery-aware predictive trajectory-planning and control framework for multirotors operating under spatially localized disturbances. Candidate trajectories are evaluated through closed-loop vehicle--motor--battery propagation, allowing disturbance-induced control demand, electrical energy, battery evolution, and terminal-voltage-dependent actuator capability to enter the planning process. % A reduced-order battery model is numerically benchmarked against an independently implemented Simscape equivalent-circuit reference, with a power NRMSE of $0.64\%$ and a cumulative-energy discrepancy below $0.7\%$. % In a $150$-s, $640$-m mission containing three disturbance regions, the selected trajectory reduces electrical energy…

arXiv:2609.12159v1 Announce Type: new Abstract: Robotic bioprinting and Direct Ink Writing (DIW) are being explored towards the treatment of Volumetric Muscle Loss (VML). While previous studies have shown the importance of proper parameter selection on the print outcome, existing approaches often rely on time- and material-intensive design of experiments methods, or require large, well-curated datasets for training machine learning models. In this paper, we propose a physics-based closed-loop robotic bioprinting system capable of near real-time parameter adaptation. The system integrates a 3D point cloud camera and fully autonomous vision-based algorithms to provide quantitative evaluation of printed constructs. This evaluation is fed into a controller that adjusts printing parameters to…

arXiv:2609.12142v1 Announce Type: new Abstract: Agent-based model predictive control (AMPC) has recently been proposed for vehicle systems with various controllers, such as differential braking and torque vectoring, where controllers are regarded as distributed agents contributing to the same objective. However, this scheme is challenging in handling multiple conflicting objectives with coupled agents. A common approach for such tasks is the integrated MPC, where all objectives and agents are stacked together in one optimization. Nevertheless, as more agents and objectives are involved, the integrated MPC will face challenges like computational burdens and maintenance difficulties in practice. To this end, this paper proposes a learning multi-objective AMPC that can improve design flexibi…

arXiv:2609.12108v1 Announce Type: new Abstract: Functional integration is a growing trend in vehicle control, often involving the coordination of multiple controllers to achieve various objectives simultaneously. The need for flexibility and reliability has led to a "plug-and-play" approach in control system design, which presents challenges for traditional integrated model predictive control (MPC). Agent-based model predictive control (AMPC) has recently emerged as a distributed solution that treats controllers as agents, creating a collaborative framework among them to reach a common goal. However, this approach struggles to manage distributed conflicting objectives when agents are coupled or interdependent. To address this, we propose a novel, practical distributed control scheme calle…

arXiv:2609.12103v1 Announce Type: new Abstract: Slender rod insertion arises in precision manufacturing, where millimetre scale diameter and tight clearances demand accurate perception and control. Conventional peg-in-hole methods assume a rigid object whose tip pose is fixed relative to the gripper. This assumption breaks down for a high aspect ratio rod, which can bend during manipulation, making its tip motion dependent on the rod configuration, grasp, material properties, and contact. We present RodForesight, a learning framework that factorises the task into two stages: 1) coarse approaching, which uses visual servoing to map diverse initial configurations into a compact near hole hand-off region; and 2) predictive insertion, which performs fine alignment and completes the insertion.…

arXiv:2609.12095v1 Announce Type: new Abstract: Strategic flight plan validation in Advanced Air Mobility (AAM) environments requires robust methods for predicting aircraft state uncertainty and detecting potential conflicts with dynamic airspace hazards. This paper presents a novel framework for uncertainty-conditioned trajectory prediction combined with polyhedra hazard representation for pre-flight conflict detection. We introduce a closed-form uncertainty estimation method that couples non-uniform rational B-spline (NURBS) curve fitting for kinematic trajectory generation with a Kalman Filter for state covariance propagation. Drawing from the Light Propagation Algorithm (LPA) paradigm, we employ a sigmoid-blended measurement noise model that captures the uncertainty reduction behavior…