AI This Week: Cruise’s Robotaxi Meltdown

This week’s headlines

  • Academic researchers at the University of Chicago are helping artists fight back against AI algorithms that would subvert and monetize their works. Researchers have developed a program called “nightshade” It can “break” AI programs that ingest unauthorized content embedded in the software.
  • What is AI “exposure”? this is the fun new basic mantra Corporations are using it when they talk about laying off workers and the possibility of chatbots replacing them.
  • Last but not least: what to expect from the Biden administration Issue a much-awaited executive order Monday will seek to lay out a basic regulatory approach to AI as the technology becomes a widespread technological and economic reality. The order “will create a host of new government offices and task forces and pave the way for the use of more AI in everything from health care to education, business to housing, and nearly every aspect of life touched by the federal government.” Politico reports.

Top story: Cruz had a bad week, not a good one

Robotaxi adoption remains difficult in San Francisco. In short: Things are not going well for what Silicon Valley hoped would be its next trillion dollar industry. Although a decision in August by the Public Utilities Commission of California allowed “Expanded operations for two chiefs”robotaxi“Companies in the Bay Area—Google’s Waymo and GM’s Cruise—have had little trouble translating regulatory thumbs up into commercial success.

From the beginning, Cruz had to work hard at it. In the first week after the CPUC announced its decision, a Cruise robotaxi collided with a city fire truck, injuring the robotaxi’s driver. Then, another person stopped at an intersection, disrupting traffic and angering locals. Then, about a week ago, there was a woman Crushed and dragged by Cruise Robotaxi During a traffic incident. As a result, California has ordered Cruise to remove all of its vehicles from city streets.

But Cruise did not shut down its operations in the Bay Area. On Friday, the company announced it would cease operations across the country. In fact, this incident caused the number of Bay Area robotaxi experiments to be cut in half. Obviously this doesn’t bode well for the long-term longevity of business in San Francisco Many local residents and politicians Treat an emerging industry almost the same way they treat an army of bubonic plague-infected rats. Some onlookers are saying that if robotaxis fails in Silicon Valley – the tech industry’s backyard – it could effectively ruin the industry’s broader ambitions for a national (and, eventually, global) rollout.

Some commentators have pointed out that robotaxis are struggling in California, but they are All is well in the city of Phoenix, Arizona, Where companies like Waymo have been operating for the last three years with little or no drama. But Phoenix is ​​a more spread-out, less populated community, making it easier for driverless rides to navigate. More congested, complex cities like San Francisco present greater challenges for the self-driving car industry’s fairly limited brainpower.

In short: While the tech industry would love to have robotaxis ready for prime time, it certainly seems like we’ve got some way to go before that happens. Will they ever be ready? That too is still visible in the air.

Today’s Question: What is RAG?

A lot of people have been doing RAG interpreters lately. information bus did one, Luck did one, We’re not going to do a full explanation, but I thought we could at least give an overview on what is being called the most popular acronym in AI right now. RAG stands for “Recovery Enhanced Generation”, which sounds confusing but is actually quite straightforward. As far as I can tell, RAG is a information retrieval system This can be added to a larger language model, the algorithms that power AI chatbots like ChatGPT. The purpose of RAG is to obtain data from a specific dataset to help generate a response when a chatbot user issues a prompt. The best thing about RAG is that it provides more control over the type of information that a chatbot will give to the user rather than relying solely on the application’s overall data library. Experts argue that this allows you to customize and specialize the chatbot’s answers to your “enterprise content.” a breakdown puts it,

(TagstoTranslate)robotaxis(T)cruise(T)robotics(T)self-driving cars(T)Bayer AG(T)electric vehicles(T)chatbots(T)Waymo(T)city of phoenix(T)Arizona(T)Waymo

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