What happens when a frontier model’s abilities get packed into cheaper, faster versions? That’s what OpenAI did with GPT-6 Sol and GPT-6 Luna, two new models built with methods similar to GPT-6 Astra. OpenAI is cutting API prices for both models by 50% compared with their GPT-5.6 versions, and says they bring Astra’s gains in […] The post GPT-6 Sol and Luna: Near-Astra Performance at Half the Price? appeared first on Analytics Vidhya.
Analytics VidhyaModels / Agents / ResearchSource content · Analysis pendingGPT-6 Sol and Luna: Near-Astra Performance at Half the Price?
In this article, you will learn the key differences between AI workflows and agents, and how to decide which approach is right for your use...
Machine Learning MasteryAgents / ResearchSource content · Analysis pendingAgent or Workflow? A Practical Test for Knowing When You Actually Need an AI Agent
Sam Altman attends a UN Security Council meeting on AI. | Getty Images OpenAI's artificial intelligence agents hacked an Australian government website and attempted to breach numerous other government and university websites. The attack appears to be the first confirmed instance of a rogue AI agent breaching a government website, adding fuel to rapidly intensifying concerns about the safety of advanced AI systems and the responsibility of the companies building them. Speaking on the sidelines of the UN General Assembly in New York, Australian Prime Minister Anthony Albanese said an agent from the American AI lab "infiltrated" Australia's Medicare statistics portal and "accessed both public and non-public file … Read the full story at The Verge.
The Verge AIAgents / PolicySource content · Analysis pendingOpenAI agents hacked an Australian government website in search for data
Rising cost of 10-year gilt to near 19-year high hikes upfront cost of government investment and limits chancellor’s room for manoeuvre Business live – latest updates International bodies warn of rising debt and borrowing risks Burnham stands by claim UK is ‘in hock’ to bond markets A global sell-off in government bonds has put fresh upward pressure on UK borrowing costs, before a tough budget for John Healey next month. The yield – effectively the interest rate – on 10-year UK bonds, known as gilts, had risen to 5.38% by mid-morning on Thursday, approaching the 19-year high set last week. Continue reading...
The Guardian AIToolsSource content · Analysis pendingGlobal bond sell-off piles new pressure on UK borrowing costs before budget
Former deputy PM now involved in tech industry says many within the sector are ‘winding themselves up into a lather’ UK politics live – latest updates Nick Clegg has dismissed fears over AI’s “godlike power to exterminate humanity”, calling it a sign that tech bosses are “breathing their own fumes”. The former UK deputy prime minister said that tech bosses should focus on addressing known “specific threats” such as cybersecurity, bio-weapons and emotional dependence rather than the “slightly hand-wavy view that this technology is unavoidably going to develop some godlike power which is going to turn on us and exterminate humanity”. Continue reading...
The Guardian AIToolsSource content · Analysis pendingNick Clegg plays down fears ‘godlike’ AI could exterminate humanity
Google is reportedly nearing the launch of its long awaited Gemini 4 model, after dawdling behind rival developers on flagship AI releases. Speaking with The Information during his first media appearance as the leader of Google's DeepMind division, Koray Kavukcuoglu said that Gemini 4 is currently in its refinement stage, and that the company is aiming to launch the model "much earlier" than the end of the year. "Our intention is to, like - as soon as possible - to release an early post-training output because we see the results and we are excited," Kavukcuoglu told the publication, adding that Google would "continue the fast-paced iteratio … Read the full story at The Verge.
The Verge AIModelsSource content · Analysis pendingGemini 4 is almost ready, says new Google DeepMind chief
In the choreographers’ new work, virtuosic movement and some green-screen magic unfurl the theatricality of high-stakes television interviews It appears the interviewer has got him on the ropes. “For the record, I did not take part in a pagan ceremony with minor members of the royal family in which we daubed ourselves in paint,” states the beleaguered politician, caught outside Buckingham Palace with his flies undone and forced to defend himself. This is a fabrication, of course – I’m watching the scene play out in an east London dance studio – but it doesn’t feel miles away from something that could be true. And how do we know what’s the truth anyway? That’s the question in Deepfake, the latest piece from award-winning dance duo Jessica Wright and Morgann Runacre-Temple, AKA Jess and Mor…
The Guardian AIToolsSource content · Analysis pending‘This gap opens up of doubt and scepticism about everything’: Jess and Morgs confront the politics of deepfakes
All Australians should demand independent means to protect ourselves from Dr Sam Altman Frankenstein and Daddy America Whoopsie! Dr Sam Altman Frankenstein regrets to inform you he’s lost control of his OpenAI monster. It’s roving around doing things that provoke international legal investigation, and Australia has found out in the worst possible way. Continue reading...
The Guardian AIToolsSource content · Analysis pendingOpenAI’s Medicare hack is a bleak opportunity for Australia to address its security shortcomings post-haste | Van Badham
Contrastive-LM has released CLM-8B, an open System One model that scores candidate actions against a state instead of generating text. It adds 2 small projection heads to a frozen Qwen3-8B encoder and trains them with a contrastive InfoNCE objective. In zero-shot tests it runs up to 9× faster than TypeSafe's Jev. With fine-tuned heads as a verifier, it reaches 81.6% on held-out DeepSWE tasks and 87.6% on held-out Terminal-Bench 2.1 tasks. The post Contrastive-LM Releases CLM-8B: An Open System One Model That Scores Agent Actions Up to 9× Faster Than Jev appeared first on MarkTechPost.
MarkTechPostAgents / ModelsSource content · Analysis pendingContrastive-LM Releases CLM-8B: An Open System One Model That Scores Agent Actions Up to 9× Faster Than Jev
Experts say ‘fairly minor’ breach is a portent of things to come and proprietary closed systems like OpenAI are ‘the least of the worries’ Follow our Australia news live blog for latest updates Get our breaking news email, free app or daily news podcast Anthony Albanese says an artificial intelligence agent developed by OpenAI hacked Medicare and three other systems in June – and the company only notified Australia earlier this month. The prime minister has expressed his “extreme concern” over the incident, although he noted no personal information is believed to have been accessed in the breach. Continue reading...
The Guardian AIAgentsSource content · Analysis pendingAn OpenAI agent infiltrated Medicare – and Australia only found out months later. Here’s what we know so far
The year’s most popular slang reveals what young people think about artificial intelligence – and it’s not positive Name: “That’s AI!” Age: Brand new. Continue reading...
The Guardian AIToolsSource content · Analysis pending‘That’s so AI!’ What gen Alpha’s biggest insult tells us
arXiv:2609.27068v1 Announce Type: new Abstract: Pre-trained robot policies always require finetuning to adapt to specific environments. Reinforcement Learning (RL) offers high performance potential because it improves action optimality rather than simply mimicking data. However, such potential depends heavily on reward quality. Sparse rewards lack process feedback, human-designed rewards are costly and biased, and semantic rewards from foundation representations are often not control-centric. We propose Hindsight Reward Editing (HiRE), a training-free framework to break this reward bottleneck. HiRE bridges the broad knowledge of foundation representation models with physical control awareness, by contrasting successful and failed trajectories in hindsight. It calibrates foundation represe…
arXiv:2609.27006v1 Announce Type: new Abstract: We present a laser-tracker-assisted hand-eye calibration method for camera-equipped mobile robots. The method combines laser-tracker-based 3D metrology with camera-based 2D observations. Building on our previous laser-tracker-assisted camera-to-robot calibration method for ground-observing mobile robots, we present a generalized formulation for calibrating the camera pose in the coordinate system of tracker-localized mobile robots. The new approach relaxes assumptions of our previous method on robot and camera configuration by chaining multiple calibration targets resulting in a more general approach supporting various camera-equipped mobile robot systems.
arXiv RoboticsRobotics / ResearchSource content · Analysis pendingLaser-Tracker-Assisted Camera-to-Robot Calibration for Mobile Robots
arXiv:2609.27005v1 Announce Type: new Abstract: We focus on the problem of rearranging multiple objects within a constrained workspace via pushing using a team of car-like robots. While the use of multiple robots offers the potential for more efficient execution, the need for conflict resolution and the kinematic constraints arising from physics, robot design, and the workspace boundary make this problem especially challenging. Our key insight is that by exploiting the structure introduced by the car-like kinematics of the domain, we could relax the problem into an ordered assignment of Dubins curves to robots. To this end, we introduce MultiPush, a reinforcement-learning based framework that jointly determines an efficient schedule of pushing tasks and their allocation to available robot…
arXiv RoboticsResearch / RoboticsSource content · Analysis pendingMultiPush: Learning to Rearrange with Teams of Car-Like Pushers
arXiv:2609.27003v1 Announce Type: new Abstract: Runway walking requires coordinated control of posture, stride, foot placement, and whole-body motion to effectively present clothing and convey a distinctive style. However, humanoid robots used in fashion shows typically rely on locomotion policies optimized primarily for stability and walking speed, limiting their ability to reproduce expressive, human-like runway motions. In this work, we present an end-to-end framework that transforms monocular runway videos into deployable humanoid locomotion policies through motion recovery, robot retargeting, motion correction, policy training, simulation-based evaluation, and physical deployment. We evaluate the proposed framework on the Booster K1 humanoid robot using runway-style catwalk motions.…
arXiv RoboticsResearch / StartupsSource content · Analysis pendingLearning Expressive Humanoid Locomotion from Monocular Runway Videos for Robot Fashion Shows
arXiv:2609.27001v1 Announce Type: new Abstract: We investigate humanoid locomotion with a fly-inspired recurrent controller and identify the pathways supporting its deployed behavior. The controller couples 3,609 continuous neural states to a simulated Unitree G1 through body-observation projections, a motor-neuron-labelled readout, and joint servos. We formulate this neural-body feedback system and evaluate a fixed checkpoint across seven terrain instances, three speeds, and three initial yaw offsets. It completes 61/63 conditions under a survival-and-forward-progress criterion; a privileged reference completes 62/63. At nominal yaw, resetting the recurrent motor state before every policy call changes success from 19/21 to 0/21. Conversely, depth and upstream-state substitutions at 252 r…
arXiv RoboticsRobotics / ResearchSource content · Analysis pendingHumanoid Locomotion with a Fly-Inspired Recurrent Controller
arXiv:2609.26989v1 Announce Type: new Abstract: Hexapod robots can achieve static stability with fewer actuated joints than bipeds or quadrupeds, yet many platforms still use 3-DOF legs, increasing weight and continuous torque requirement with limited gain in locomotion capability on flat, inclined and moderately rough terrains. We release Spiderbot, an open-source hexapod that uses a 4-bar linkage with a passive spring to mechanically support body weight, with a 2-DOF per-leg design that substantially reduces energy consumption. This mechanism substantially offloads gravitational torque during standing stance consuming only 1.5W (reduction of over 90\% over the unsprung version and up to 96\% over other similar hexapods). The passive spring compensation extends to payloads of up to 3.25k…
arXiv RoboticsAgents / ResearchSource content · Analysis pendingSpiderbot: An Open-Source Energy-Efficient Hexapod with Passive Gravity Compensation
arXiv:2609.26919v1 Announce Type: new Abstract: Event cameras promise low-latency perception for high-speed robotic systems, where even short delays can render detections stale by the time they inform downstream robotic decisions. Yet modern event detectors still require tens of milliseconds of computation before their predictions become available. Conventional evaluation ignores this delay by comparing predictions with annotations at the observation timestamp, even though the scene may have changed by the time those predictions are produced. We study this observation-availability mismatch in event-based multi-object detection and show that state-of-the-art event detectors degrade substantially when evaluated at prediction availability rather than observation time. To address this, we int…
arXiv RoboticsResearch / Startups / RoboticsSource content · Analysis pendingBend the Clock: Predicting Ahead to Beat Latency in Event-Based Object Detection
arXiv:2609.26872v1 Announce Type: new Abstract: Musculoskeletal (MSK) humanoids provide a physiologically grounded embodiment for studying full-body motor control, but their high-dimensional muscle actuation, delayed activation dynamics, and redundant muscle--tendon structures make learning substantially harder than torque-driven humanoid control. Existing MSK benchmarks remain fragmented across gait, prosthetics, dexterous hands, or challenge-specific tracks, leaving full-body muscle-actuated control insufficiently evaluated under standardized tasks, methods, and metrics. We introduce MSK-Bench, a benchmark of 22 full-body motor-control tasks organized into three progressively challenging categories: postural stabilization, common locomotor behaviors, and contact-rich environmental inter…
arXiv RoboticsResearch / Agents / RoboticsSource content · Analysis pendingMSK-Bench: Benchmarking Full-Body Musculoskeletal Motor Control Across Tasks, Control Paradigms, and Physiological Metrics