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A New ‘Marvel Rivals’ Mode Brings in Some ‘Marvel Zombies’

A New ‘Marvel Rivals’ Mode Brings in Some ‘Marvel Zombies’

Nearly a full year after release, Marvel Rivals is getting its first-ever PvE (player versus enemy) mode in the form of “Marvel Zombies.”

Like the name implies, the mode is a collaboration with Marvel Animation and based on the recent Disney+ animated series of the same name. In the game, four players will take on endless hordes of the undead as Thor, Magik, Punisher, Jeff the Shark, and Blade, who each have different buffs or abilities specific to this mode. Players will also fight against two bosses: Zombie Namor and Scarlet Witch in her “Queen of the Dead” form, which are both from the show. The mode is a fun inclusion—zombies used to be all the rage for major video games back in the day, and it’s easy to imagine Rivals would’ve had it even without doing any TV synergy.

NetEase is currently keeping mum on what rewards or progression awaits with this new “Zombie” mode. Weeks ago, the developer revealed Marvel Rivals would get some Zombies-themed skins for characters like Blade, Spider-Man, and Scarlet Witch, and it’s a fun addition just in time for the spooky season. Hopefully more PvE modes are on the horizon, and not just ones connected to MCU projects.

More information about the “Zombies” mode and a longer trailer will both come before its launch on Thursday, October 23.

Want more io9 news? Check out when to expect the latest Marvel, Star Wars, and Star Trek releases, what’s next for the DC Universe on film and TV, and everything you need to know about the future of Doctor Who.

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#Marvel #Rivals #Mode #Brings #Marvel #Zombies

According to Reisner, the sets have been downloaded thousands of times and, while it’s impossible to know exactly who has used them, Google and Stability have both confirmed they have in research papers. Some of the sources, like the Free Music Archive dataset, are free to stream for personal use but require licensing for commercial applications.

While the datasets are freely available on the internet in theory, using them as training data is not as simple as downloading a ZIP file and feeding it to an AI model. As Reisner explains:

Three of the datasets I found are distributed as a list of links to songs on YouTube or Spotify. AI developers download the actual audio using tools that automate the job, some of which allow developers to bypass logins, advertisements, and mechanisms that might earn money or subscribers for creators. Such tools violate the terms of service of these platforms.

#Atlantic #created #searchable #database #music #trainAI,Entertainment,Music,News">The Atlantic created a searchable database of the music used to train AIAtlantic reporter Alex Reisner recently uncovered four datasets of music being used to train AI models and made them fully searchable for the public. Two of the sets are absolutely enormous at 12 million and 9 million tracks. The other two are much smaller, but still represent a significant amount of training data at over 100,000 songs each.According to Reisner, the sets have been downloaded thousands of times and, while it’s impossible to know exactly who has used them, Google and Stability have both confirmed they have in research papers. Some of the sources, like the Free Music Archive dataset, are free to stream for personal use but require licensing for commercial applications.While the datasets are freely available on the internet in theory, using them as training data is not as simple as downloading a ZIP file and feeding it to an AI model. As Reisner explains:Three of the datasets I found are distributed as a list of links to songs on YouTube or Spotify. AI developers download the actual audio using tools that automate the job, some of which allow developers to bypass logins, advertisements, and mechanisms that might earn money or subscribers for creators. Such tools violate the terms of service of these platforms.#Atlantic #created #searchable #database #music #trainAI,Entertainment,Music,News

four datasets of music being used to train AI models and made them fully searchable for the public. Two of the sets are absolutely enormous at 12 million and 9 million tracks. The other two are much smaller, but still represent a significant amount of training data at over 100,000 songs each.

According to Reisner, the sets have been downloaded thousands of times and, while it’s impossible to know exactly who has used them, Google and Stability have both confirmed they have in research papers. Some of the sources, like the Free Music Archive dataset, are free to stream for personal use but require licensing for commercial applications.

While the datasets are freely available on the internet in theory, using them as training data is not as simple as downloading a ZIP file and feeding it to an AI model. As Reisner explains:

Three of the datasets I found are distributed as a list of links to songs on YouTube or Spotify. AI developers download the actual audio using tools that automate the job, some of which allow developers to bypass logins, advertisements, and mechanisms that might earn money or subscribers for creators. Such tools violate the terms of service of these platforms.

#Atlantic #created #searchable #database #music #trainAI,Entertainment,Music,News">The Atlantic created a searchable database of the music used to train AI

Atlantic reporter Alex Reisner recently uncovered four datasets of music being used to train AI models and made them fully searchable for the public. Two of the sets are absolutely enormous at 12 million and 9 million tracks. The other two are much smaller, but still represent a significant amount of training data at over 100,000 songs each.

According to Reisner, the sets have been downloaded thousands of times and, while it’s impossible to know exactly who has used them, Google and Stability have both confirmed they have in research papers. Some of the sources, like the Free Music Archive dataset, are free to stream for personal use but require licensing for commercial applications.

While the datasets are freely available on the internet in theory, using them as training data is not as simple as downloading a ZIP file and feeding it to an AI model. As Reisner explains:

Three of the datasets I found are distributed as a list of links to songs on YouTube or Spotify. AI developers download the actual audio using tools that automate the job, some of which allow developers to bypass logins, advertisements, and mechanisms that might earn money or subscribers for creators. Such tools violate the terms of service of these platforms.

#Atlantic #created #searchable #database #music #trainAI,Entertainment,Music,News
Asked about the privacy implications of chatbots like ChatGPT and Claude, Signal President Meredith Whittaker answered, “These are not your friends. These are not conscious beings. These are not sentient interlocutors.”

Whittaker made those comments in a broader interview with Bloomberg about policy, privacy, and Signal. She acknowledged that she uses AI tools “to format a document here and there,” but insisted, “I don’t ask them questions. I’m very serious about my thinking and writing, and I don’t want the process of working through an idea […] to be foreclosed or eclipsed by the response of a system that’s averaging what’s already out there.”

As for Microsoft AI CEO Mustafa Suleyman’s prediction that users could let Microsoft Copilot handle all their Christmas shopping this year, Whittaker argued this scenario — where Copilot is eavesdropping on the family group chat to determine who wants want — means giving it “access to my credit card, my browser, my Signal, the ability to message my siblings on my behalf, my home address [and] my calendar.”

“What you’ve just described is a system with very pervasive access across multiple applications and services,” Whittaker said. “In the context of Signal, it would constitute a kind of a backdoor.”

#Signals #Meredith #Whittaker #remember #chatbots #friends #TechCrunchMeredith Whittaker,signal">Signal’s Meredith Whittaker wants you to remember that AI chatbots ‘are not your friends’ | TechCrunch
Asked about the privacy implications of chatbots like ChatGPT and Claude, Signal President Meredith Whittaker answered, “These are not your friends. These are not conscious beings. These are not sentient interlocutors.”

Whittaker made those comments in a broader interview with Bloomberg about policy, privacy, and Signal. She acknowledged that she uses AI tools “to format a document here and there,” but insisted, “I don’t ask them questions. I’m very serious about my thinking and writing, and I don’t want the process of working through an idea […] to be foreclosed or eclipsed by the response of a system that’s averaging what’s already out there.”







As for Microsoft AI CEO Mustafa Suleyman’s prediction that users could let Microsoft Copilot handle all their Christmas shopping this year, Whittaker argued this scenario — where Copilot is eavesdropping on the family group chat to determine who wants want — means giving it “access to my credit card, my browser, my Signal, the ability to message my siblings on my behalf, my home address [and] my calendar.”

“What you’ve just described is a system with very pervasive access across multiple applications and services,” Whittaker said. “In the context of Signal, it would constitute a kind of a backdoor.”
#Signals #Meredith #Whittaker #remember #chatbots #friends #TechCrunchMeredith Whittaker,signal

a broader interview with Bloomberg about policy, privacy, and Signal. She acknowledged that she uses AI tools “to format a document here and there,” but insisted, “I don’t ask them questions. I’m very serious about my thinking and writing, and I don’t want the process of working through an idea […] to be foreclosed or eclipsed by the response of a system that’s averaging what’s already out there.”

As for Microsoft AI CEO Mustafa Suleyman’s prediction that users could let Microsoft Copilot handle all their Christmas shopping this year, Whittaker argued this scenario — where Copilot is eavesdropping on the family group chat to determine who wants want — means giving it “access to my credit card, my browser, my Signal, the ability to message my siblings on my behalf, my home address [and] my calendar.”

“What you’ve just described is a system with very pervasive access across multiple applications and services,” Whittaker said. “In the context of Signal, it would constitute a kind of a backdoor.”

#Signals #Meredith #Whittaker #remember #chatbots #friends #TechCrunchMeredith Whittaker,signal">Signal’s Meredith Whittaker wants you to remember that AI chatbots ‘are not your friends’ | TechCrunch

Asked about the privacy implications of chatbots like ChatGPT and Claude, Signal President Meredith Whittaker answered, “These are not your friends. These are not conscious beings. These are not sentient interlocutors.”

Whittaker made those comments in a broader interview with Bloomberg about policy, privacy, and Signal. She acknowledged that she uses AI tools “to format a document here and there,” but insisted, “I don’t ask them questions. I’m very serious about my thinking and writing, and I don’t want the process of working through an idea […] to be foreclosed or eclipsed by the response of a system that’s averaging what’s already out there.”

As for Microsoft AI CEO Mustafa Suleyman’s prediction that users could let Microsoft Copilot handle all their Christmas shopping this year, Whittaker argued this scenario — where Copilot is eavesdropping on the family group chat to determine who wants want — means giving it “access to my credit card, my browser, my Signal, the ability to message my siblings on my behalf, my home address [and] my calendar.”

“What you’ve just described is a system with very pervasive access across multiple applications and services,” Whittaker said. “In the context of Signal, it would constitute a kind of a backdoor.”

#Signals #Meredith #Whittaker #remember #chatbots #friends #TechCrunchMeredith Whittaker,signal

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