Finding a tailored shirt that perfectly fits you can be an exercise in futility. Startup Crisp Clothing wants to make it a norm. The family-owned company guarantees it can tailor a shirt to perfectly fit you using your height and weight and recently launched a Kickstarter campaign to receive funding.
The company is founded by father-and-son duo Swapnil and Prakash Kamble. To get the perfect shirt from Crisp, you would need to submit your height and weight to the company during its Kickstarter survey after donating making your purchase before the campaign ends. This is possible because of Bodylabs, the group of engineers and scientists with a technology based on artificial intelligence and machine learning algorithms that get an accurate body measurement. Another example of the future of clothing technology.
The shirts are made with 100 percent Egyptian Giza cotton and made by hand by a team of skilled tailors. The shirts currently come in white, black, blue, and pink. Getting your hands on one of them will not come cheap as the shirts will retail for $108 if the campaign reaches its goal. You may be able to get one for as low as pledging $78 toward the campaign, but there are only 12 more shirts left at that price, at the time of publication.
Crisp Clothing promises every shirt will fit perfectly, but just in case it does not, the company is offering $20 worth of alteration credit if it does not fit right. If Crisp can not get it to fit your body perfectly after trying to alter it, you can get a free remake of the shirt.
Custom clothing businesses have a track record of doing well on Kickstarter. In 2013, Threadmason’s Kickstarter campaign accumulated more than $34,000 in pledges for its custom T-shirt business in roughly five weeks. The clothing company’s approach was similar to Crisp’s as people would only need to send in their height, weight, and waist size.
Crisp’s Kickstarter campaign has amassed a little more than $2,000 of its $20,000 funding goal. The campaign ends on July 31. Shirts will ship to most backers in November but will ship in October for those who made an early-bird pledge.
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.