Ubisoft Removes Fourth Of July Fireworks From Watch Dogs 2 After 'Noise Complaints'A temporary Independence Day celebration in Watch Dogs 2 was suspended early on July 4 because it was enraging too many people who still play Ubisoft’s late 2. The fireworks had been added to the game as part of the 1. They were set to erupt during the game’s night cycles from June 2. July 1. 0. On Twitter, they were described by gamers as “completely obnoxious,” “fucking annoying” and “too frequent, too long and too loud.” Someone else said they were scaring their dog. Initially, Ubisoft defended the fireworks. Three days ago, in reply to a forum thread titled “Annoying Fireworks At night missions,” a Ubisoft community representative noted: “While you may find them loud in- game, they are really loud in real life too! The sound carries over the water and you can hear them all over the Bay!”By yesterday, Ubisoft yielded.

On Reddit, a company rep noted: “The people have spoken and we have carried out their will! There was an annoying bug that snuck into our Independence Day Event that made the sound effects from the fireworks noticeable from everywhere on the map.

They have been turned off as to avoid any further noise complaints.”Ubisoft: “It’s not possible to rush a fix for this so we made a tough choice to remove them. The heart says no but the ear drums say yes.”When Tweeting the news, the official Watch Dogs 2 Twitter account cc’d the outlet Ars Technica, likely because of the publication’s Tuesday morning story headlined “Ubisoft wishes Watch Dogs 2 players a terrible Fourth of July.”Of course, as fans of whatever pop song you hate can tell you that even the most cacophonous noise has its fans. Sure enough, a Watch Dogs 2 player on the game’s subreddit lamented the firework deletion. The Ubi rep replied: “We liked them too! But when you’re playing the game at night for hours and can’t escape the popping no matter where you are, that’s not a positive experience for the player. It’s not possible to rush a fix for this so we made a tough choice to remove them.

Formula Drift Japan is this weekend at nowhere else but the legendary Ebisu circuit. That means Mad Mike is there, and that means that we get to bask in the sights.

A lawsuit against two former Air Force psychologists who developed the CIA’s post-September 11, 2001 “enhanced interrogation” torture techniques, James Mitchell. Computers believe in conspiracy theories now. The New Inquiry’s Francis Tseng trained a bot to recognize patterns in photos and draw links between similar pictures. For most of us thinking of taking up a new workout routine, hobby, or side project, just getting started is often the biggest barrier to entry. What kind of gear do I.

The heart says no but the ear drums say yes.”.

Conspiracy Bot Shows That Computers Can Be as Gullible as Humans. Computers believe in conspiracy theories now. The New Inquiry’s Francis Tseng trained a bot to recognize patterns in photos and draw links between similar pictures, forming the kind of conspiracy- theory diagram seen in the last act of a Homeland episode or the front page of Reddit. Install Modules In Perl Linux Find. It’s a cute trick that reminds us that humans are gullible (hey, maybe those photos do match!), and that the machines we train to think for us could end up just as gullible.

The database recognizes 1,746,000 software titles and delivers updates for your software including minor upgrades. No one can stop you. You’re in a Plymouth Laser now. A noisy cheer went up from the crowd of hackers clustered around the voting machine tucked into the back corner of a casino conference room—they’d just managed to.

Humans are exceptionally good at pattern recognition. That’s great for learning and dealing with diverse environments, but it can get us in trouble: Some studies link pattern recognition to belief in conspiracy theories. The rise of machine learning is specifically targeted at closing this gap, teaching neural networks how to, say, recognize photos of birds or detect credit card fraud by feeding them vast quantities of data. This isn’t as easy as replicating a human brain, because we don’t know how to do that. Instead, programmers simulate a brain- like behavior by letting the neural network search for patterns on its own. As technologist David Weinberger writes, these neural networks, free of the baggage of human thought, build their own logic and find surprising and inscrutable patterns.

For example, Google’s Alpha. Go can beat a Go master, but its strategy can’t be easily explained in plain language.

But these machines don’t actually know what’s real, so they can just as easily find patterns that don’t exist or don’t matter. This also results in surprising “mistakes,” like the funny paint colors (stummy beige, stanky bean) generated by scientist Janelle Shane, or the horrifying mess of dog faces Google Deep. Dream finds hidden inside my selfie: These mistakes can be far more serious. Weinberger highlights software that racially profiled accused criminals, and a CIA system that falsely identified an Al- Jazeera journalist as a terrorist threat. When an app claims to be powered by “artificial intelligence” it feels like you’re in the future. But chances are, you’re really just looking at dog faces and made- up paint colors.

The more computer programs behave like humans, the less you should trust them before learning how they were made and trained. Hell, never trust a computer that behaves like a human, period.

There’s your conspiracy theory.