Secure Da Bag

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I was going to make a thread on this, but it seemed more "random thought" appropriate. So I'll just post all the AI threads here.

 
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Secure Da Bag

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Wielding Rocks and Knives, Arizonans Attack Self-Driving Cars

Arizona leads the resistance against CarNet

CHANDLER, Ariz. — The assailant slipped out of a park around noon one day in October, zeroing in on his target, which was idling at a nearby intersection — a self-driving van operated by Waymo, the driverless-car company spun out of Google.

He carried out his attack with an unidentified sharp object, swiftly slashing one of the tires. The suspect, identified as a white man in his 20s, then melted into the neighborhood on foot.

The slashing was one of nearly two dozen attacks on driverless vehicles over the past two years in Chandler, a city near Phoenix where Waymo started testing its vans in 2017. In ways large and small, the city has had an early look at public misgivings over the rise of artificial intelligence, with city officials hearing complaints about everything from safety to possible job losses.

Some people have pelted Waymo vans with rocks, according to police reports. Others have repeatedly tried to run the vehicles off the road. One woman screamed at one of the vans, telling it to get out of her suburban neighborhood. A man pulled up alongside a Waymo vehicle and threatened the employee riding inside with a piece of PVC pipe.

revolver at a Waymo vehicle and the emergency backup driver at the wheel. He told the police that he “despises” driverless cars, referring to the killing of a female pedestrian in March in nearby Tempe by a self-driving Uber car.

“There are other places they can test,” said Erik O’Polka, 37, who was issued a warning by the police in November after multiple reports that his Jeep Wrangler had tried to run Waymo vans off the road — in one case, driving head-on toward one of the self-driving vehicles until it was forced to come to an abrupt stop.

His wife, Elizabeth, 35, admitted in an interview that her husband “finds it entertaining to brake hard” in front of the self-driving vans, and that she herself “may have forced them to pull over” so she could yell at them to get out of their neighborhood. The trouble started, the couple said, when their 10-year-old son was nearly hit by one of the vehicles while he was playing in a nearby cul-de-sac.

“They said they need real-world examples, but I don’t want to be their real-world mistake,” said Mr. O’Polka, who runs his own company providing information technology to small businesses.

Though I share their concern for self-driving cars and its dangers, I do feel they are overreacting.
 

scarhead

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I do think out of all the massive threats humans are facing (climate change, world war 3, etc) AI is the most scariest. At least some people in some parts of the world will survive nuclear wars or climate disasters but once AI advances past our intelligence and decides to attack humanity for whatever reason, we’ll be wiped out. And it doesn’t really have to have malicious intents to do that, us happening to be a hinderance in whatever goal it tries to accomplish will be enough reason to kill off humans and just be more effective in whatever it is it’s pursuing. That analogy of ants have no way of comprehending what humans do and how we operate and how we one day could just end up like ants after AI moves past human level is scary to me.
 

Orbital-Fetus

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i would like a clearer definition of the kind of AI that we are talking about.

i'm a sci-fi nerd so i know about elon musk pulling the alarm on this.
i know about skynet, the matrix, ultron, etc.

but what does the AI in our near future look like.
what tasks to they perform?
and i'm not just talking mechanical and physical tasks either.
how much AI decision making is autonomous and what are they deciding?

i could see AI overseeing the operations of a utility like electricity and finding problems
or inefficiencies within the system and sending out orders for maintenance and such.

what freaks me out is what people build into the AI with or without knowing it.
the fingerprint of humanity will be placed upon whatever form it takes.
 

Secure Da Bag

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AI is such a blanket term that its mere mention will cause lay people to freak out. I'm not sure how familiar some of you are with programming, but a decision trees and a state machines are technically AI. The machine learning and image recognition softwares that are being deployed worry me the most. But then there are AI projects that do a lot of good and are the types of things people want to see. Such as the lead removal project currently going on in Flint.
 

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How Machine Learning Found Flint’s Lead Pipes - The Atlantic

...

The computer scientists saw that an information problem was sitting atop the lead issue in the city. No one knew, exactly, who had lead pipes and who did not. The City had a variety of records: thousands of old cards describing parcels’ hookups, and also maps and small updates that had been filed into the system over the years. But a cataloging system is only as good as its maintenance, and the City of Flint had been starved of resources for decades.

Flint, you probably know, was a key chamber of the heart of the American automobile industry. Through the middle of the 20th century, General Motors had a variety of facilities in the area, employing some 80,000 people. As Flint’s position within the automotive industry declined, most white residents took the money they’d earned and moved to the suburbs, taking their tax dollars and capital out of the city’s core. They created their own regional services in the wealthier Genesee County, while Flint’s residents suffered the repercussions of an economy that had moved on: budget cuts, failing schools, and, of course, post-industrial environmental problems. It is not a surprise, then, that before the crisis began, auditing and correcting water-department records from the early-20th century were not top of mind for city officials.

When Flint’s money woes got bad enough in the wake of the housing collapse, Michigan Governor Rick Snyder sent in an “emergency” manager to enact cost-cutting measures. Half of Michigan’s black residents have lived under an emergency manager, according to a Michigan Civil Rights Commission report about Flint. It was Flint’s emergency manager who made the call to switch the water supply from the Detroit water system to the Flint River in April 2014 without putting in the right corrosion controls. That’s what started the problem.

Many cities share the lead-pipe problem and the informational obstacles layered atop it. The decay of infrastructure built decades ago is not only in the metal, but in the data cataloging that lets the city’s government and residents understand the state of the water system. For all the talk of “smart” cities, the real state of play in many older places is that no one even thinks of these things until there’s a disaster. People have been saying “America is 1,000 Flints” since the city was booming, and it is still true. Just as there are thousands of lead service lines in Flint, there are something like 6 million lead service lines in America.

When Weaver launched the program to replace Flint’s lead service lines, Fast Start, in March 2016, suddenly the city’s maintenance debt came back up to the surface. General Michael McDaniel was picked to lead the program, with less than a handful of people working under him.

Some basic things were known about the lead-pipe distribution: The pipes were most likely to be found in postwar homes, built when Flint experienced major expansions, and least likely to be found in newer homes. In February 2016, Martin Kaufman at the University of Michigan at Flint built some maps of nominal lead pipe placements in the city using City records. McDaniel’s team used them to prioritize initial excavations based on the age of homes and the Department of Environmental Quality’s rough sense of where the worst water problems were. Then they asked themselves who would be the most affected by lead in the water. “The very young, the very old, and those with compromised immune systems,” McDaniel told me. They determined which homes had kids under 5 years old and adults over 70.

Combining these sources gave them a rough sense of where to start. McDaniel set out to replace 600 lead pipes each in 10 small zones. “It was a matter of what was efficient and what was equitable across the city,” he said.

When Abernethy and his collaborator, the University of Michigan’s Eric Schwartz, got involved over the summer of 2016, they saw a familiar type of prediction problem: sequential decision making under uncertain conditions. The crews didn’t have perfect information, but they still needed the best possible answer to the question Where do we dig next? The results of each new dig could be fed back into the model, improving its accuracy.

Initially, they had little data. In March 2016, only 36 homes had had their pipes excavated. And even as the crews began to do hundreds of digs, they were looking for lead pipes, which meant that they were creating a decidedly unrepresentative sample of the city. Using just that data, the model was likely to overpredict how much lead existed elsewhere in Flint. So the University of Michigan team asked Fast Start to check lines across the city using a cheaper system called “hydrovacing,” which uses jets of water, instead of a backhoe, to expose pipes. The data from those cheaper excavations went back into the model, allowing the researchers to predict different zones of the city more accurately.

Read: How to prevent the next Flint

As they refined their work, they found that the three most significant determinants of the likelihood of having lead pipes were the age, value, and location of a home. More important, their model became highly accurate at predicting where lead was most likely to be found, and through 2017, the contractors’ hit rate in finding lead pipes increased. “We ended up considerably above an 80 percent [accuracy] for the last few months of 2017,” McDaniel told me.

In late 2017, Weaver announced that the City was awarding a $5 million contract to AECOM, the major national contractor, to run the project. In February 2018, the City held a community forum to “really introduce you to the company that’s going to accelerate Fast Start,” as Weaver put it. Robert Bincsik, Flint’s director of public works, noted at the forum that the City was doing something nearly unprecedented. “There is not anybody else doing this as aggressively as we are,” Bincsik said. “Overall, I think we’ve done a wonderful job.”
 

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Apple is focusing more on Siri than it is on K.I.T.T. Kinda sad to hear that.

Apple's dismissal of 200 self-driving car employees points to a shift in its AI strategy

...

So it came as a surprise Wednesday when CNBC learned that Apple was removing 200 employees from its self-driving car unit. Apple confirmed the staffing change, but reading between the lines of a spokesperson's statement, it sounds like the move is the latest in the company's broader goal to improve its artificial intelligence and machine learning capabilities as it faces increased competition from rivals Google and Amazon.

...

Waymo, Alphabet's self-driving car company, recently opened up its self-driving car service to the public in Phoenix, Ariz., and is widely considered to be the leaders in self driving. Legacy car companies like GM working on self-driving technology. And it's not just Tesla making electric cars. Porsche, Audi, Mercedes and other legacy car companies have all announced electric vehicles. It's hard to imagine how Apple would stand out.

"The sense that I had is they're not as far along as I had hoped," Munster said of Apple's decision to remove the 200 employees out of its car division. "But they still have initiative there."
 

Orbital-Fetus

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Where is the new one of this?
Orbital-Fetus
 
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