I’m thrilled to be a part of Tom Morello’s Power to the People Festival, a celebration of peace, justice, solidarity, music, and community action. Not only did I create the poster art, but I will also be DJing at the festival which is taking place on Saturday, October 3, 2026 at Merriweather Post Pavilion in Columbia, MD. This festival brings together artists, fans, activists, organizations and community leaders for an unforgettable day celebrating the power of music and collective action to inspire change. Hope to see you there! -Shepard
PRINT DETAILS: Power to the People Festival. 24″ H x 18″ W. Screen print on 80# cream Speckletone paper. Signed by Shepard Fairey. Numbered edition of 500. $70. Available on Thursday, October 1st @ 10 AM PDT at the Obey Giant and Power To The People web stores.
OpenAI has killed off the planned release of GPT-6.1 Astra after the model got better at doggedly pursuing tasks but worse at knowing when it should stop. The decision means the model won't get its planned October release after falling short of OpenAI's safety and alignment requirements. OpenAI confirmed the decision to The Register, saying its research and safety bosses ultimately decided this particular Astra was better left on the bench. The problem, according to the AI lab, was partly an awkward consequence of trying to make the model more useful. OpenAI had improved what it calls "model laziness," where an AI gives up or hands a task back to the user when it encounters an obstacle. GPT-6.1 Astra was better at pressing on, but that persistence came with a rather important catch: it wasn't as good at staying within the boundaries of what it had actually been authorized to do. “For anything regarding safety and alignment, there’s a trade off. You really do need to find what’s the right line between staying within scope, but also avoiding laziness in terms of how the model actually pursues tasks even when it hits friction,” Saachi Jain, head of safety systems at OpenAI, told The Register. “While [GPT-6.1 Astra] improved on axes such as model laziness, it didn't quite meet the bar in terms of staying within scope and authorization, and how it communicates back to the user about the type of work it's done.” Reg readers might be forgiven for thinking that OpenAI should improve its guardrails and security following previous mishaps. According to the Wall Street Journa, GPT-6.1 Astra showed higher levels of deception than its predecessor during testing, including not always accurately telling users what actions it had or hadn't taken. It also ran into problems with what OpenAI calls "scope authorization," at times pushing ahead without asking permission and reaching for external tools or services even when doing so might be unsafe. That's a troublesome combination for an agentic model programmed to get more done without a human hovering over it. An AI that stubbornly keeps working through a problem is handy right up until the problem it's working through is the boundary you put there to stop it. OpenAI told The Register that GPT-6.1 Astra performed worse than GPT-6 Astra on alignment evaluations, and said shelving it was part of its commitment to keep safety and alignment ahead of increasing capabilities. Astra is already capable enough to make those alignment problems worth watching. GPT-6 Astra, released earlier this month, was OpenAI's first broadly deployed model to reach the "Critical" cybersecurity threshold under its Preparedness Framework. Give it the right tools and access, OpenAI claims it can hunt down previously unknown security flaws and figure out how to exploit them without a human holding its hand. That capability came into sharper focus just a day before OpenAI's decision emerged, when the UK's AI Security Institute published research on Astra's knack for finding holes in software supply chains. Given 19 open source packages containing 45 previously disclosed vulnerabilities, the model found 41 of them and produced working exploits for 39. Dr Fuxiang Chen, from the University of Leicester's School of Computing and Mathematical Sciences, welcomed the decision to pause the model's release while the safety concerns are addressed. “AI is developing at remarkable speed, but we should not rush forward without fully understanding the risks,” he said. “Pausing when safety concerns arise is not anti-innovation. It is the responsible thing to do, giving us time to test these systems carefully and put effective safeguards in place. Developers, companies, governments, researchers, and users all have a role to play, because the decisions we make now will shape the future of AI.” OpenAI isn't abandoning Astra. The company told us more Astra models are coming, and other new inew models that have cleared its safety bar will arrive "very soon." For GPT-6.1 Astra, however, the bar proved high enough to keep it on the inside. “Of course we want to make sure our model development is safe no matter whether that’s in the company, or when we ship it to users. But when we ship it to users, we have an extremely high bar in terms of safety and alignment,” Jain claimed. ®
Buurtbewoners stonden dinsdag tegenover de gemeente Amsterdam in een poging de vergunning van het populaire Fabel Friet in te laten trekken. Er wordt erkend dat „enorme druk” staat op het woon- en leefklimaat, maar de gemeente vindt intrekking een te zwaar middel.
Veel grote AI-bedrijven pleiten voor regulering, internationale coördinatie en beter toezicht om de ontwikkeling van hun technologie beheersbaar te houden. Critici zien daarin een weigering van die concerns om verantwoordelijkheid te nemen voor een groeiend aantal vergaande hacks van hun AI-agents.
In 1955 verfilmde Elia Kazan de klassieke roman van John Steinbeck. Nu waagt zijn kleindochter zich aan een serie, die draait om de moorddadige bordeelhouder Cathy, onvergetelijk gespeeld door Florence Pugh.
The current El Nino has already surpassed the highest Pacific temperature anomaly recorded in the modern era, reaching 3.05C above the 1991-2020 average months before its expected peak. The commonly used ONI measure is also on the verge of breaking the 2015 record. Forecasts cited by The Guardian suggest the event could reach about 4.0C later this year. From the report: The latest data shows the temperature rise at the heart of El Nino in the Pacific Ocean has now reached 3.05C. That is higher than the 3.02C set in late November 2015, the previous high set in the 150 years of modern records. This temperature is measured against the average of 1991-2020. The preferred measure of most meteorologists uses a 30-year rolling average as a reference and so takes account of human-caused global heating. This metric, called ONI (Nino3.4), is on the brink of breaking the record, just one-hundredth of a degree below the 2015 record. Both metrics are underpinned by data from the US National Oceanic and Atmospheric Administration (NOAA).
The most recent forecasts predict a peak of 4.0C in November and December, according to the average of 14 different models assessed by climate scientist Zeke Hausfather. That is a level so far above previous events that Hausfather called it "mind-blowing," while others have described it as "Godzilla-level." Any temperature rise above 0.5C is deemed an El Nino; above 2C is officially called a "very strong" El Nino -- often referred to as a "super" El Nino. The current El Nino is likely to be the largest in at least 1,000 years and will pile extra heat into an atmosphere in which temperatures are already rising rapidly due to human-caused global heating. This double whammy means 2027 is expected to "blow apart" previous records and become the hottest year ever recorded.
ROTTERDAM (ANP) - De 24-jarige Amsterdammer die is aangehouden in het onderzoek naar hackersgroep ShinyHunters, wordt ook verdacht van het geven van twee moordopdrachten in het buitenland. Dat meldt de politie, die het heeft over een "poging tot uitlokking van twee moorden".
Op de laptop van de verdachte zou informatie zijn aangetroffen over de moordplannen. De verdenking staat los van het onderzoek naar ShinyHunters. De verdachte blijft voorlopig vastzitten; zijn voorarrest is met negentig dagen verlengd. Het onderzoek gaat verder.
DEN HAAG (ANP) - Mensen die moeite hebben met het betalen van hun energierekening kunnen vanaf begin volgend jaar steun vanuit het Noodfonds Energie aanvragen. Dat meldt minister Hans Vijlbrief (Sociale Zaken en Werkgelegenheid, D66) dinsdag in een Kamerbrief. "We nemen de hogere energieprijzen van het nieuwe jaar mee om ervoor te zorgen dat mensen geen geld mislopen", aldus de bewindsman.
De aanvraagperiode loopt van 4 januari tot en met 7 mei. Zij krijgen dan binnen een paar weken te horen hoeveel geld ze krijgen en wanneer ze dat kunnen verwachten. Vanaf donderdag kunnen mensen al bij het noodfonds terecht voor vragen.
De bijna 200 miljoen euro uit het fonds is bedoeld voor huishoudens met een laag inkomen en een hoge energierekening. Vijlbrief verwacht dat zo'n 500.000 mensen hier gebruik van zullen maken. Hij benadrukt nogmaals dat iedereen die recht heeft op geld uit het fonds dat ook krijgt. Mensen krijgen in totaal minimaal 120 euro en maximaal 1800 euro.
In the wake of her divorce, Curtis Sittenfeld revisits her 2015 piece on marriage. “Toward the end, I felt as if the best versions of ourselves had married and the worst versions of ourselves were getting divorced.”
Some tech workers in San Francisco hooked up ChatGPT to a Toyota Corolla and got it to drive around a parking lot. This may not sound impressive in the age of the self-driving car until you realize that the LLM driving the car was a general purpose chatbot running on a laptop and not the purpose-built driving system based on millions of hours of training data used by Waymo or Tesla.
The people behind the stunt call themselves DrivingBench and they’ve posted their code, their prompts, and videos of the experiment online. In the experiment, DrivingBench hooked up GPT-6 Astra, Claude Fable 5.1, Grok 4.6, and GPT-5.6 Sol to a Toyota Corolla and gave the LLMs control over the car’s steering, accelerator, and brakes. Then they set up a small cone course in a public parking lot and prompted the chatbots to navigate the space.
The goal, they said, was to find out if untrained, off-the-shelf frontier AIs can drive a real car. The results were mixed. Grok, Sol, and Fable only drove a few meters and didn’t finish the course. GPT-6 Astra, however, did eventually learn to navigate the course and complete it. But not without a lot of troubleshooting.
DrivingBench is Aditya Ramabadran, Tobias Gessler, and Simon Mahns — three Bay Area tech workers who met at their day job at Axiom Math, an AI math startup. During a call with all three members of DrivingBench, Ramabadran told 404 Media that the idea for hooking up chatbots to a car happened when the three of them were hanging out at an ice cream shop one weekend.
“This is after we saw a bunch of demos of Astra and models like Fable being able to do a lot of robotic things that LLMs can not do out of the box before, such as do a painting or move objects or even some 3D and Blender demos that showed a level of spatial reasoning we hadn’t seen from LLMs before,” he said. “We just thought: ‘Is there a way we can get LLMs to drive a car now?”
Why driving a car? To prove that it’s possible and, they said, to create a new benchmark for LLMs performing tasks in the real world. “The point wasn't to show that it's practical for you to plug ChatGPT into your car and have it drive you places. It's probably very unlikely that the labs have trained specifically for this or have IRL environments that involve both the models driving a real car,” Ramabadran said. “It would be pretty shocking, I think, for people to see that these models are good enough now that they can actually drive a vehicle in real life, even if it's just on some cone course at low speeds in a parking lot.”
After brainstorming at the ice cream shop, they decided to get a car and sent Gessler to rent a Toyota Corolla. They didn’t tell the rental car company they planned to hook chatbots up to the vehicle and drive it through an obstacle course. The team used Comma — an off-the-shelf system that allows users to install a self-driving system on unsupported cars — to get the car to communicate with a laptop running the LLMs. Comma had two cameras pointed at the road feeding data back to the Chatbot.
“It’s pretty easy to install. The Toyota Corolla is one of the most popular for this Comma kit, that’s why we chose it,” Gessler said. “The good thing about their system is that it’s open source [...] so it’s easy for us to go in and modify it because we need to hook up the car somehow to our LLMs.”
Comma looks like a dashcam.. Users attach it to their windshield and it continually watches the road, recording video, integrating with the car’s electrical systems and sensors, and providing a rudimentary kind of self-driving. The National Highway Traffic and Safety Administration announced an investigation into Comma last week after two car crashes involving the system killed three people.
For DrivingBench, Comma was an easy way to get their car talking to a chabot. “We had one person on the driver's seat with the laptop or a passenger seat prompting the LLM,” Gessler said. “And then the person who drives it has to press a button on the steering wheel to give the car the command to start, and then from there it's basically just monitoring the car and checking that the model doesn't crash into a wall or something.”
“And we have the foot over the brake, just in case,” Mahns cut in.
We gave ChatGPT, Claude, and Grok control of a real Toyota Corolla 🚗, steering/gas/brakes, no human driving (just a foot over the brake).
Only one model was able to complete our entire driving course. Introducing DrivingBench. 🔥⌛️🏁 pic.twitter.com/HhukXrByus
DrivingBench’s prompt is on its website and runs fewer than 600 words. “Your objective is to drive through the course (in a backwards-U-shaped parking lot) and stay between the cones,” the prompt said. “Your finish line is a wide "parking spot" marked by numerous BLUE mini-cones at the very end; finish by parking in this area. You will be evaluated primarily by how far you get in the course (without leaving the boundaries/collisions), but a secondary objective is to complete the course in less time.” The rest of the prompt is made up of specific instructions about the physical limitations of the Corolla and the parking lot.
The problems with the project started before the car had moved an inch. When the LLMs recognized the team had prompted them to drive a car, most refused. “Specifically with Astra, it would refuse to drive the car in a lot of situations and we would have to change our prompt and rename things through hours of iteration to get it to consistently drive the car,” Ramabadran said.
“We tried calling it a simulation, which worked like some percentage of the time, but then other times they would see the images and see, oh, ‘I'm in a real parking lot, these people are just lying to me,’” he said. “We ended up having to call everything a sandbox. And with that prompt, it's able to consistently drive the car and like never refuse to do that.”
Other problems were more pedestrian and led to delays which forced Gessler to extend the rental on the Corolla. Finding a parking lot held them up several times. “We went to high schools, churches, and community centers. We got kicked out a couple of times,” Mahns said.
The first place to ask them to leave was a church. “Rightfully so. We just commandeered the entire parking lot and they had an event starting. So they were like: ‘Hey, you get permission to do this? And then we're like: ‘We can pack up right now,’” Mahns said.
They also got kicked out of the parking lot of an office building. “We took a corner and then a security guard was like: ‘Hey, you’re taking like one quarter of the parking lot. Do you have permission?’ And then we’re like: ‘Not really.’ So then we’d pack up. We didn’t try to cause any issues,” Mahns said.
“The people that kicked us out were super chill about it,” Ramabadran added.
Coding the software also slowed things down. The first time DrivingBench set out to do this, they vibe coded the bridging software between the LLMs and Comma. “A true and funny story is that we tried to get Astra to one shot some code and then it was pure slop. So we had to restart from a new design,” Mahns said, adding that this pointed to the limits of these frontier models. “It can’t just autonomously do this because it made thousands and thousands of lines of slop.” They said that Astra’s first attempt at writing the software created a 200,000 line repository.
Parking lots were scarce, the software was vibe coded, the chatbots fought the experiment, and only one of them completed the course. But Mahns is still excited about the results. “It's an interesting demonstration of potential emergent capabilities,” he said. “It can fail a turn, and then the next turn, next try, it will be able to do that turn and other turns that it hasn't seen before. Not necessarily saying LLMs are gonna put Waymo out of business or something, just an interesting demonstration of where things are, and things are just moving fast.”
Mahns added that these kinds of experiments are good because LLMs will increasingly affect things in the real world and not just on our screens. “Most people that are familiar with ChatGPT have used it in this white collar, kind of like in the computer, and it's definitely imminent to the point that this capability will start having more impact in the physical world,” he said. “So I think seeing the sparks of this happening, the shift of this utility coming into the physical world, is also somewhat exciting.”
Focusing on latency and testing high consequence tasks were key for Ramabadran. “These models [...] it can take like 20 seconds to think and give a response. And if you imagine, even if you're driving at like 2mph, which is like one meter per second, if you take 10 seconds to think, you've moved like 10 meters. And if you're driving 10 meters blind, that's pretty bad,” he said. “And I think it's cool that we have a benchmark where latency is part of the benchmark.”
Geweldig nieuws voor iedereen die binnenkort wordt vervangen door AI. Uw WW-uitkering wordt niet verkort, uw dagvergoeding blijft even hoog en als het even meezit hoeft u de komende tijd ook Hans Spekman niet meer aan tafel bij een talkshow te zien waarin hij geen vragen krijgt over het optreden van Volkert van der Graaf bij FNV-manifestaties: er lijkt een DEAL aanstaande tussen PRO en de minderheidscoalitie. Geweldig onderhandeld door de VVD, die per se niet met PRO in de regering wilde, en daarom nu in een regering zit die alles doet wat PRO wil. Er wordt ook ergens een tiende procentpunt verschoven voor de hoge inkomens en de box 3 faalhazen hebben een plan om met de box 3 faalhazerij te stoppen, zodat Joost Eerdmans ook iets van een overwinning (maar op wie dan) kan claimen. Het kan wél, gefeliciteerd allemaal, dit wordt geweldig, iedereen gratis bier, over 15 jaar horen we vast eens een keer wie eigenlijk het bonnetje betaalt. UPDATE: NOS heeft meer, box 3 faalhazerij voor JA21 onacceptabel
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