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2026-09-15
The rise of AI-generated tributes and bots for ‘talking’ to the dead has experts concerned more people will grieve in isolation Tributes rolled in after the death of Dolly Parton last month. Jack White performed Jolene at a London gig. Kesha sang Old Flames (Can’t Hold a Candle to You), a single her mother wrote for the country music titan. Even Pitbull stopped his Madison Square Garden show to memorialize Parton and all the other “powerful women” in the crowd. But one of the strangest – and most viral – eulogies did not come from a celebrity. It did not even come from a person. Run Jolene, at just under five minutes, is an earworm of a country song, containing all the cliches of the genre: twangy singer, banjo licks, corny lyrics. Those lyrics concern Jolene, the fictional romantic rival…
Last week, researcher Jacob Coxon announced his resignation from Anthropic, stating that AI ‘could kill us all by the end of the decade’ Hello, and welcome to TechScape. I’m Blake Montgomery, US tech editor at the Guardian. Today in tech, we’re discussing the past week’s all-consuming apoplexy over AI safety. AI CEOs say they need to slow the pace of development. But will they? OpenAI urges UK lawmakers to rein in technology amid growing safety fears Europe must build own AI or risk getting cut off by US or China, says ECB’s Lagarde Trump attacks ‘sick conspiracy’ against AI as tech stocks slide Microsoft proposes limits on its AI with code of conduct amid safety debate I worked at Google DeepMind. You should listen to the warnings about AI We greet the news that AI could extinguish us wi…
Explore five free Microsoft GitHub courses covering data science, machine learning, artificial intelligence, generative AI, LLMs, RAG, fine-tuning, and AI agents.
In this article, you will learn how to treat prompt templates as tunable hyperparameters for a language model, using scikit-learn's grid search to find the...
A year ago, terminal AI mostly meant asking a model to explain errors, generate commands, or edit small functions. In 2026, leading coding CLIs have become full agent runtimes that can inspect repositories, plan work, modify files, run tests, use external tools, and verify results. In this article, we compare five standouts agentic coding CLIs: Claude Code, Codex CLI, […] The post Top 5 Agentic Coding CLI Tools Developers Should Know in 2026 appeared first on Analytics Vidhya.
Three frontier labs have now said out loud that their models help build their models. The interesting part is not the percentage. It is which half of the job got automated, and why.
Is the current furore in mathematics the canary in the coalmine for experimental science and knowledge work? This post was originally published in Vanishing Gradients on September 11, 2026. It’s been updated to address the subsequent declaration by 25 Fields Medalists and the debate about AI, mathematical progress, and research incentives. Science without understanding? “For […]
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Comments come after court on Monday rejected the president’s mail ballot restrictions ahead of the November midterm elections Supreme court rejects Trump’s mail ballot restrictions for midterm elections Hello and welcome to the US politics live blog. Lawmakers have given their support to the supreme court’s rejection of Donald Trump’s bid to restrict mail ballots for the midterm elections. Mitch McConnell, the 84-year-old former Senate majority leader from Kentucky, was seen in Washington for the first time in months on Monday, minutes before his office released a statement saying that he was back at work. With a slip of the tongue reminiscent of Joe Biden, Gavin Newsom, California’s Democratic governor, told CNN that he would not run for president in 2028 if his fellow Californian, forme…
Across the US, anti-datacenter organizers are harnessing community anger to win local elections After four months of teach-ins and canvassing, Steven Kung helped Monterey Park, just east of Los Angeles, become the first US city to ban datacenter construction. Now, the organizer is running for city council – and he’s taking on an incumbent who supported the development of the sprawling facility. “The datacenter coming to my neighborhood turned my life upside down,” said Kung. “I saw that there’s a dismantling of democracy at a local level.” Continue reading...
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Party leader claims proposed new retrospective laws are unfair and Reform would retaliate with a crackdown on union funding if elected Jonathan Reynolds has said that people should not get “hyperbolic” about the risks posed by AI. Speaking ahead of Louise Haigh’s speech to the TUC later, which will address the topic (see 9.31am), and in the light of the ongoing concerns expressed by AI experts about the risk of AI models posing a threat to humanity, Reynolds told the Today programme: This is extremely powerful technology, and I think we should never be complacent or naive about the impact it might have. People will be worried by some of the things they’ve heard in the last few weeks, and I think we’ve got to be careful not to get hyperbolic about this either. Because of the power of this…
Children’s Hospital Uses Open Source NVIDIA AI for Cardiac Care | NVIDIA Blog Skip to content Heart of the Matter: How a Major Children’s Hospital Uses Open Source NVIDIA AI for Cardiac Care September 15, 2026 by Isha S…
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Safety requirements are non-negotiable. They depend on meeting concrete goals, not just adjusting a timeline It has been a week of high drama in AI, precipitated by the resignation of the AI safety researcher Jacob Coxon from Anthropic. This followed several weeks of increasingly lurid and disturbing revelations about the OpenAI/Hugging Face incident. My inbox yesterday included a message from Business Insider with the subject line: “AI doomsday debate reaches boiling point”. Continue reading...
From Stephen Hawking to Jacob Coxon’s viral Anthropic resignation, fears that AI could threaten humanity have shaken the industry without stopping its pursuit Before an Anthropic researcher resigned and declared human extinction imminent last week, tech leaders and scientists had sounded the alarm about a superintelligent AI ending humanity for over a decade. The development of artificial intelligence “could spell the end of the human race”, warned professor and astrophysicist Stephen Hawking in 2014 – a little less than a decade before the public got its hands on the generative AI features of the original version of ChatGPT. Continue reading...
Louise Haigh will set out benefits of AI to TUC conference while vowing government will take safety seriously Ministers must “heed the warnings” from industry leaders about the threat posed by AI as it looks to capitalise on the technology, the first secretary, Louise Haigh, will say on Tuesday. Labour MPs and peers have called for the government to further cooperate with international partners to build regulation for the technology, after three Anthropic researchers warned that artificial intelligence could kill off humanity within the decade. Continue reading...
President has dismissed anxieties over AI’s dangerous potential even as Democrats and some Republicans acknowledge risks Donald Trump is facing a rare backlash from the US Congress as Democrats and some Republicans push for guardrails on the world’s most powerful AI companies. Concerns over the dangerous potential of AI reached fever pitch this week after tech leaders sounded the alarm over the rapid advancement of the technology and its potential threat to humanity. Continue reading...
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Meta engineering team introduced ZGateway, a proxy tier that now sits between client applications and ZippyDB, the Meta’s most widely used key value store. ZippyDB backs product metadata, counters, and configuration at billions of operations per second. ZGateway started as a fix for connection sprawl across more than a million client hosts and grew into […] The post Meta Introduces ZGateway: A Stateless Proxy Tier That Unifies ZippyDB Traffic and Handles Over 1 Billion Operations Per Second appeared first on MarkTechPost.
Agent-net, the team building an agent-to-agent marketplace where AI agents discover, trust, and pay each other, has released Webagent, an open source harness for standing up public-facing business agents. So, basically you give it your website, get an agent, and let it talk to other agents. Instead of writing orchestration code, a business fills in […] The post Agent-net Open Sources Webagent: A Go Harness That Turns Any Website into a Guarded AI Agent appeared first on MarkTechPost.
A series of figures in the tech world have been warning about – and even resigning over – the existential threat posed by artificial intelligence. How worried should we be? Today in Focus host Annie Kelly speaks with technology editor Robert Booth Continue reading...
arXiv:2609.13290v1 Announce Type: new Abstract: Achieving biological-level running speeds has largely been pursued through advances in control algorithms, which improve the utilization of existing hardware. However, the ultimate speed limits remain governed by the underlying force and torque requirements of rapid locomotion, which are typically addressed through increased actuator capacity. Inspired by Huygens' coupled pendulums, we demonstrate that superior locomotion can emerge from principled exploitation of intrinsic dynamics rather than brute-force hardware scaling. Inter-limb inertial coupling redistributes energy across the gait cycle and reduces peak joint torque required for rapid periodic motion, thereby expanding the achievable speed without proportional increases in actuator c…
arXiv:2609.13289v1 Announce Type: new Abstract: Achieving high-speed locomotion in quadrupedal robots remains highly challenging, as actuators operate near their physical limits and exhibit pronounced nonlinearities. However, many existing methods neglect actuator nonlinearities and physical constraints during training, leading to a significant sim-to-real gap under highly dynamic motions and limiting achievable performance. To address this issue, we propose a high-speed locomotion framework that reduces sim-to-real discrepancies and stabilizes learning over a wide command distribution. A refined actuator model explicitly captures high-speed voltage coupling and magnetic saturation, enabling a more accurate representation of the torque-speed envelope. In addition, a reinforcement learning…
arXiv:2609.13270v1 Announce Type: new Abstract: In distributed model predictive control for multi-drone collision avoidance, a fixed prediction horizon forces a compromise: a short horizon is inexpensive but reacts late to approaching neighbors, whereas a long one anticipates conflicts at a per-step cost that grows superlinearly with its length. We propose a conflict-predictive variable horizon that each drone sets locally, leaving the distributed model predictive control itself unchanged. From a short history of observed positions, a drone extrapolates the flight lines of its neighbors, tests each against its own using confidence funnels that narrow with prediction range, and obtains each time to conflict in closed form. The horizon is then the smallest admissible value whose planning wi…
arXiv:2609.13244v1 Announce Type: new Abstract: We study dark manipulation: after a brief lit Write encodes z0 = Enc(rgb), a policy pi(z) and open-loop dynamics f(z,a) complete contact-rich skills without further pixels (dark_f). On ManiSkill StackCube (n=160; seed packs 0/1000), dark_f attains 68.1% stacked on the five-rung chain (near_A -> grasped -> lifted -> on_B -> stacked), compared with 35.6% for per-step lit_reenc and 0% for freeze/encode_black. On a shared Write->HOLD protocol (n=40), occlusion and camera-aligned GT contact-neighbor masks drive lit lift from 43% to 0%, while dark_f holds 82.5%; shuffling actions inflates dynamics MSE by ~9.4x; write-time appearance shifts break encoding (night: 0% stacked), yet the same shifts during HOLD leave dark_f lift unchanged; Write length…
arXiv:2609.13243v1 Announce Type: new Abstract: We present GzDRL, a novel single-process reinforcement learning (RL) framework for Gazebo that overcomes longstanding bottlenecks in scalable, reproducible robotics experimentation. Unlike conventional middleware-based RL-Gazebo integrations that suffer from nondeterminism and irreproducibility, GzDRL introduces a systematic, middleware-free environment-stepping mechanism that directly synchronizes agent actions and physics updates. This design enables deterministic, high-throughput data collection, efficient vectorization, and reproducible RL training and evaluation. Comprehensive benchmarks demonstrate that GzDRL achieves the highest workstation throughput among the evaluated frameworks while remaining competitive with GPU-accelerated simu…
arXiv:2609.13236v1 Announce Type: new Abstract: Humanoid robots are becoming an important part of embodied artificial intelligence, driven by advances in reinforcement learning for locomotion, world models for prediction, and vision-language-action models for general control. However, most of these systems remain static after deployment. A policy is trained offline for a fixed objective and then frozen, even though the tasks, environments, and robot bodies keep drifting over time. An emerging paradigm of self-evolving agents aims to address this problem by allowing systems to improve from their own post-deployment experience. Since most existing studies focus on disembodied software agents, this survey examines how self-evolution changes when an agent has a physical body. We first define…