In the wake of the devastation wrought by Hurricane Maria, Puerto Rico is still without power. The island’s infrastructure was due for an upgrade even before the recent natural disaster, and now it seems that one of the biggest names in the technology industry might be taking on the mission to make that happen.
SpaceX and Tesla CEO Elon Musk has already sent hundreds of its Powerwall batteries to Puerto Rico as a stopgap. On Thursday, October 5, he took to Twitter to state that his company has the means to provide the necessary support to rebuild its power grid.
“The Tesla team has done this for many smaller islands around the world, but there is no scalability limit, so it can be done for Puerto Rico too,” tweeted Musk. He went on to stress that the company would need the blessing of the Puerto Rican government, the Public Utility Commission, any commercial stakeholders, and the island’s residents.
Puerto Rico’s governor Ricardo Rossello responded to Musk just hours later, according to a report from the Huffington Post. He suggested that the island could be a “flagship project” for Tesla’s technology, giving the company an opportunity to demonstrate just how effective its methods of harvesting and storing solar power can be.
Last year, Tesla subsidiary SolarCity led a project that installed a microgrid system on the island of Ta’u in American Samoa. As a result, the company stated that almost 100 percent of its power needs would be catered to by renewable energy.
This new technology obviously has some major benefits from an environmental perspective. It’s also much more reliable, and would likely be more resilient when future storms roll in — not to mention cheaper to run than the current system, which relies on imported oil.
There are big questions to be asked about the timescale of the project, as there is a pressing need to return power to residents. It took a year to install the microgrid system on Ta’u, an island that spans just 17 square miles. Puerto Rico is much larger, at 3,515 square miles.
Musk is confident that scalability won’t be an issue, but for residents of Puerto Rico, such a dramatic overhaul of the power infrastructure might take too long to come to pass.
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.