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From Dropout to ‘Saturday Night Live’ with Jeremy Culhane and Kurt Maloney

From Dropout to ‘Saturday Night Live’ with Jeremy Culhane and Kurt Maloney

If you’re watching comedy on YouTube, Instagram, or TikTok these days, chances are you’ve at least seen clips from Dropout. Whether it’s Sam Reich pushing contestants to the brink of madness on Game Changer or Vic Michaelis interviewing comedians disguised in wild and extravagant costumes on Very Important People, Dropout is pushing the boundaries of improvised comedy on the internet.

No doubt, if you are familiar with Dropout, you’ve seen these two comedians grace their myriad of shows: Jeremy Culhane and Kurt Maloney. You might also know Jeremy Culhane from the latest season of Saturday Night Live.

This year, the Dropout crew descended on SXSW, where they performed shows ranging from Lily Du and Grant O’Brien’s Dirty Laundry to Jacquis Neal’s Crowd Control to good old-fashioned long-form improv.

Before their big improv SXSW show at Austin City Limits Live, Culhane and Maloney came by Mashable’s SXSW Say More studio to talk comedy, Jeremy’s journey to Saturday Night Live, and how Dropout continues to change the game not only in comedy but in how comedy is consumed online. Be sure to check out the full episode on YouTube.

And for more on any of their shows and improv tour dates, check out Dropout.

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#Dropout #Saturday #Night #Live #Jeremy #Culhane #Kurt #Maloney

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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