And an awesome one,' says Pro Jank Footy developer David Ashby (left) with comedian Broden Kelly at the Great Northern Hotel in Carlton North. And an awesome one,' says Pro Jank Footy developer David Ashby (left) with comedian Broden Kelly at the Great Northern Hotel in Carlton North. 'People in Japan thought we made footy up': Pro Jank Footy, the video game taking Australian rules to the world T ry explaining Australian rules football to anyone outside Australia, and "it sounds like you're making it up," says David Ashby, the multi-hyphenate comedic mind behind deeply silly spoofs such as Italian Spider-Man and Danger 5. "Eighteen players a side, running around on a cricket oval with a rugby ball that has to be bounced every so often and gets kicked between posts - like, what the fuck is happening?" Two years ago at a fantasy footy barbecue, Ashby had a brainwave: why not make a video game where Australia's strange national sport becomes even stranger the more you play? Pro Jank Footy reimagines the sport as a high-octane fever dream, where every time your opponent kicks a goal, you get to change one rule so the game gets increasingly janky (and hilariously stupid). Your opponents turn into seagulls.

Follow this section to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. Follow this tag to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. Follow this author to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. There was nothing much happening in Jerome and Benno Leuer's yard in Hamel, Minn. on August 11, 1948.

It's logical for humans to feel anxious about artificial intelligence. After all, the news is constantly reeling off job after job at which the technology seems to outperform us. But humans aren't yet headed for all-out replacement. And if you do suffer from so-called AI anxiety, there are ways to alleviate your fears and even reframe them into a motivating force for good. In one recent example of generative AI's achievements, AI programs outscored the average human in tasks requiring originality, as judged by human reviewers.

Voting rules are powerful tools that allow multiple agents to aggregate their preferences in order to reach joint decisions. A common flaw of some voting rules, known as the no-show paradox, is that agents may obtain a more preferred outcome by abstaining from an election. We study strategic abstention for set-valued voting rules based on Kelly's and Fishburn's preference extensions.

Safety is the central focus on driverless vehicle systems development. Artificial intelligence (AI) is coming at us fast. It's being used in the apps and services we plug into daily without us really noticing, whether it's a personalized ad on Facebook, or Google recommending how you sign off your email. If these applications fail, it may result in some irritation to the user in the worst case. But we are increasingly entrusting AI and machine learning to safety-critical applications, where system failure results in a lot more than a slight UX issue.

Researchers from MIT, Stanford University, and the University of Pennsylvania have devised a method for predicting failure rates of safety-critical machine learning systems and efficiently determining their rate of occurrence. Safety-critical machine learning systems make decisions for automated technology like self-driving cars, robotic surgery, pacemakers, and autonomous flight systems for helicopters and planes. Unlike AI that helps you write an email or recommends a song, safety-critical system failures can result in serious injury or death. Problems with such machine learning systems can also cause financially costly events like SpaceX missing its landing pad. Researchers say their neural bridge sampling method gives regulators, academics, and industry experts a common reference for discussing the risks associated with deploying complex machine learning systems in safety-critical environments. In a paper titled "Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems," recently published on arXiv, the authors assert their approach can satisfy both the public's right to know that a system has been rigorously tested and an organization's desire to treat AI models like trade secrets.

The slow-moving, unidentified object flying over South Korea's border on Tuesday afternoon caused so much concern that soldiers issued loudspeaker warnings and ultimately fired more than 90 machine gun rounds in the air. What first seemed like a provocative North Korean military incursion -- perhaps a drone flight over the two countries' highly secured border -- turned out to be much more innocuous, the South Korean military said Wednesday. After studying radar evidence and thermal imagery, those military officials now believe the incident was sparked by a group of large North Korean balloons -- likely an effort to drop propaganda leaflets on the rogue state's ideological adversaries in the South. Though less serious than first reported, the incident underscores the heightened tensions along the border, and the region generally. That's because of the North's continued advancement as a nuclear state and its increasing technical prowess in developing missiles that can deliver warheads.

Kevin Kelly (founding editor of Wired magazine) just wrote a near disaster of an article "The AI Cargo Cult: The Myth of Superhuman AI." Kelly begins by attempting to tear down the assumptions of the superhuman AI hypothesis: You can read the article in more detail, but also make sure you read the comments. As I began to write this, I was going to refute each argument in detail. However, after a bit of thought, Kelly's arguments are without any merit that its not worth the effort to refute. So I will just point you to the comments in his article, that should be sufficient to explain Kelly's mistakes. The comments are a treasure trove of ideas on what's actually more important.

If a recent interaction between a human journalist and his Chinese robot counterpart is anything to go by, it'll be a while before a journalist job will be lost to (a robot in) China. On Monday (April 24), Jia Jia, a Chinese-manufactured robot under development for about three years (link in Chinese), had a conversation with AI expert Kevin Kelly, the co-founder of technology magazine Wired. State-run Xinhua news agency broadcast the chat live, billing Jia Jia as a special reporter. Jia Jia looks like a young woman in her early twenties, blinks and smiles in a fairly human way, moves her lips when she speaks, and has micro-expressions. But she had a hard time responding naturally to many of the questions posed by Kelly, sometimes taking up to 10 seconds to answer.

If a recent interaction between a human journalist and his Chinese robot counterpart is anything to go by, it'll be a while before a journalist job will be lost to (a robot in) China. On Monday (April 24), Jia Jia, a Chinese-manufactured robot under development for about three years (link in Chinese), had a conversation with AI expert Kevin Kelly, the co-founder of technology magazine Wired. State-run Xinhua news agency broadcast the chat live, billing Jia Jia as a special reporter. Jia Jia looks like a young woman in her early twenties, blinks and smiles in a fairly human way, moves her lips when she speaks, and has micro-expressions. But she had a hard time responding naturally to many of the questions posed by Kelly, sometimes taking up to 10 seconds to answer.