The New England Patriots’ win over the Atlanta Falcons was nothing short of amazing. The Pats rallied back from a 25-point deficit to tie the game in the final minutes of regulation and secured the win with a decisive touchdown drive in overtime. You may still be reeling from the comeback, but here’s something else that will blow your mind: Even before the first ball was snapped, an artificial intelligence platform accurately predicted the outcome of the game, right down to the 34-28 win by the Patriots.
Created by Unanimous, Swarm AI is a prediction engine that combines swarming algorithms with human input. The company’s AI software allows real, live human users to gather in artificial swarms, The software monitored the conversations in these swarms and collected group intelligence data that is used to make predictions. The company has a string of success accurately predicting the top four winning horses in a recent Kentucky Derby, the last two Stanley Cup winners, and nine out of 10 NFL playoff games.
Being able to predict the final score of the Super Bowl is not an easy task, though. Of the 1,641 Super Bowl final score predictions published by Scripps Howard over the past 19 years, only two have been correct regarding Super Bowl final score predictions. For the Super Bowl, Unanimous took on this challenge by creating wars with 40 football fans and connected them online. The platform then used the swarm’s group intelligence to make its own predictions about how many points each team would score.
So when the Patriots ended up winning the Super Bowl with the predicted 34-28 score, the folks at Unanimous (and everywhere else) were blown away by this uncanny prediction. Now that the Super Bowl is out of the way, Unanimous is eyeing the NHL’s Stanley Cup and the NCAA March Madness tournament.
AI companies spend enormous amounts of time convincing us their technology is safe and secure. But what happens when those same companies become targets of increasingly sophisticated AI-powered attacks? Anthropic, the company behind Claude, is now facing that question. According to a Washington Post report, cybersecurity startup Cathedral discovered vulnerabilities that let its researchers access sensitive information in Anthropic's internal systems.
The researchers used AI agents to identify potential entry points in less than 12 hours. Interestingly, they didn't need to crack Claude itself. Instead, they exploited weaknesses in third-party business applications that Anthropic uses for everyday operations. Anthropic's security testing program disclosed the findings, which allows outside researchers to identify and report vulnerabilities.
Military working dogs charge into places the rest of us would flee. So, I understand why anyone would want to breed tougher, healthier dogs for the job.
Warhound, a new startup from Colossal Biosciences co-founder Ben Lamm and Anduril co-founder Palmer Luckey, has stepped out of stealth with $200 million to clone and gene-edit working dogs for American troops, police departments, and emergency services (via TechCrunch).
AI can describe a picture, identify objects, and answer questions about what a camera sees. But when a blind user needs a quick answer, getting an entire spoken essay about the scene isn't exactly helpful. Researchers at the University of Maryland (UMD) have found that AI-powered visual assistance can leave blind users doing too much work to get the information they actually need.
The study, titled Say It My Way: Exploring Control in Conversational Visual Question Answering with Blind Users, examined how people interact with Be My AI, an AI-powered feature of the Be My Eyes app. The researchers found that users often received lengthy descriptions that didn't adequately address their immediate goals, forcing them to ask follow-up questions or find ways to steer the AI towards a more useful answer.