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As AI content floods the internet, Pangram raises M to detect it | TechCrunch
New York-based AI detection startup Pangram is on a mission to combat the AI slop infestation spreading across the internet, and it just raised  million on a bet that demand for tools that distinguish human-generated content from AI-generated text will only grow. 

Pangram’s fundraise — led by Menlo Ventures, with participation from Haystack, ScOp, Script Capital, and Cadenza — comes as the startup also launches its next-generation AI text detection model, Pangram 4, and an AI image detection model, Pangram Image. 







Pangram says the new text detection model is over 99% accurate at finding AI-assisted writing and mixed human-AI content, plus it can more easily detect AI humanizer programs. The AI image detector is only available via research preview for now; Pangram plans to release it more widely in the coming weeks.

Stanford AI and machine learning grads Max Spero and Bradley Emi launched Pangram about two years ago, after the launch of ChatGPT opened the floodgates for an internet full of bots, AI-generated SEO slop content, and what Spero calls “LLM-powered Russian disinformation campaigns and UAE-influenced campaigns on Twitter.”

“I think it’s just incredibly valuable to know whether what you’re looking at is something that’s AI-generated or not,” Spero told TechCrunch. “Especially text that you’re reading, because it changes how people approach the text. Is this something that I’m going to have to look out for hallucinations and jump in skeptically, or is this something that I trust was well-researched from an actual journalist?”

Pangram’s AI detection system is essentially a large machine learning model that was trained on tens of millions of known human documents. The startup then created a “synthetic mirror” for each document, replicating the topic, length, and tone of voice, but written by a frontier LLM. 

“Our model is learning the stylistic differences and the choices that AI makes consistently and is able to use that to learn what makes something AI-generated with high confidence,” Spero said, adding that the AI detector isn’t relying on copy-paste metadata or hidden watermarks. 


For Pangram, AI detection isn’t just about whether or not a piece of text was written entirely by AI. It’s also about distinguishing between levels of AI assistance — like in the case of someone who writes something themselves, but then asks AI to edit or clean it up. Spero believes AI assistance can be acceptable, just so long as the writer discloses their use of AI. 

Image Credits:Pangram

Pangram’s emergence comes at a time when AI usage is becoming more commonplace. In some cases, like the Canadian politician who read an AI prompt aloud in a speech to lawmakers, the mistakes result in ridicule. In other cases, as with certain lawyers making their case using fake citations created by ChatGPT, the consequences could be sanctions and fines.  

That backlash isn’t just costing individuals embarrassment or sanctions — it’s starting to show up in institutional rules, too.







The open-access archive arXiv introduced a new enforcement policy this year, stating that submissions containing evidence that authors failed to review LLM output (like hallucinated references or meta comments such as, “Would you like me to make any changes?”) can trigger a one-year submission ban.

Pangram isn’t the only one betting that AI detection will become more sought after. Competitors like Winston AI, Originality.ai, Copyleaks, and GPTZero are are chasing the same demand, each building its own detector.

Pangram’s technology, while not perfect, could help fuel the resistance to accepting the AI-generated content flooding the internet, the courtroom, and academic papers. 

Users can access Pangram via a -per-month subscription on the web or download the Chrome extension, which automatically labels posts in real time on X, LinkedIn, Substack, Reddit, and Medium. It also provides a feed health score with a percentage breakdown of human versus AI content on your screen. 

Pangram also offers its technology via API. Notably, Substack recently integrated Pangram’s technology into its platform to show readers which of their favorite authors write their newsletters using AI. Other API customers include Quora, schools and universities, publishers and agents, and recruiters, among others, per Spero. 

Does Pangram work?

Pangram detected AI-generated content even when lightly edited by a human. Image Credits:Pangram/TechCrunch

Spero said roughly one in 10,000 human documents are incorrectly labeled as AI with Pangram’s model, so I decided to put it to the test. The text detection model was very impressive but not perfect. It easily flagged entirely AI-generated news articles written by both ChatGPT and Claude, and was rarely fooled by my attempts to edit the AI-generated text into sounding more human. At the same time, Pangram did flag sentences that I completely rewrote as being AI-written. Pangram also wasn’t at all fooled by my attempts to prompt ChatGPT and Claude into evading AI detectors when generating content.  

I also gave ChatGPT and Claude one of my own articles and asked them to polish it up. Pangram gave it a 13% AI assisted score, which was probably close to accurate, but the model was able to detect subtle word-choice changes in some sentences and ignored them in others. It also flagged some sentences as AI-assisted when they were human written. That was notable because when I gave Pangram that same article in its entirety, as I had written it, it got a 100% human score. 

Maybe the problem was that news articles can be a bit dry and could easily sound like AI. So I tried a different tactic. I tested Pangram on my own more voicey, personal Substack newsletter content, pasting the first half of the text into Pangram and then asking ChatGPT and Claude to copy my style and write the second half. For the most part, Pangram easily detected human-written text versus AI-written text.







My limited testing of Pangram’s new image detection model turned out to be equally impressive. 

Image Credits:Pangram/TechCrunch

Pangram’s AI image detection system promises to spot AI-generated images across AI models, unlike OpenAI’s or Google DeepMind’s watermark-based checks, which mostly detect their own output. It works on pixel-level distributions, learning subtle statistical differences between real photos and AI-generated images. Spero says the model can even detect an AI image that appears inside a real-world photo. 

In my testing, the model easily detected AI-generated imagery, whether it was photorealistic or cartoonish. I can also confirm the model could detect an AI image appearing in a real-world photo — the heat map Pangram provides clearly lighting up over the image — though in one instance it incorrectly labeled a photo of an AI-generated image as human content. 

Spero says he doesn’t want his technology to fuel a witch hunt against people using AI for writing, but that there needs to be some sort of mechanism to push back against the slop. 

“The future that I see is that AI content just continues to proliferate,” Spero said. “We’re getting new GPUs faster than new people are being born. If we do not actively discriminate in favor of human content, then we’re just gonna see more and more AI, and it’s just gonna drown out any human signal that we have.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#content #floods #internet #Pangram #raises #detect #TechCrunchai slop

As AI content floods the internet, Pangram raises $9M to detect it | TechCrunch

New York-based AI detection startup Pangram is on a mission to combat the AI slop infestation spreading across the internet, and it just raised $9 million on a bet that demand for tools that distinguish human-generated content from AI-generated text will only grow. 

Pangram’s fundraise — led by Menlo Ventures, with participation from Haystack, ScOp, Script Capital, and Cadenza — comes as the startup also launches its next-generation AI text detection model, Pangram 4, and an AI image detection model, Pangram Image. 

Pangram says the new text detection model is over 99% accurate at finding AI-assisted writing and mixed human-AI content, plus it can more easily detect AI humanizer programs. The AI image detector is only available via research preview for now; Pangram plans to release it more widely in the coming weeks.

Stanford AI and machine learning grads Max Spero and Bradley Emi launched Pangram about two years ago, after the launch of ChatGPT opened the floodgates for an internet full of bots, AI-generated SEO slop content, and what Spero calls “LLM-powered Russian disinformation campaigns and UAE-influenced campaigns on Twitter.”

“I think it’s just incredibly valuable to know whether what you’re looking at is something that’s AI-generated or not,” Spero told TechCrunch. “Especially text that you’re reading, because it changes how people approach the text. Is this something that I’m going to have to look out for hallucinations and jump in skeptically, or is this something that I trust was well-researched from an actual journalist?”

Pangram’s AI detection system is essentially a large machine learning model that was trained on tens of millions of known human documents. The startup then created a “synthetic mirror” for each document, replicating the topic, length, and tone of voice, but written by a frontier LLM. 

“Our model is learning the stylistic differences and the choices that AI makes consistently and is able to use that to learn what makes something AI-generated with high confidence,” Spero said, adding that the AI detector isn’t relying on copy-paste metadata or hidden watermarks. 

For Pangram, AI detection isn’t just about whether or not a piece of text was written entirely by AI. It’s also about distinguishing between levels of AI assistance — like in the case of someone who writes something themselves, but then asks AI to edit or clean it up. Spero believes AI assistance can be acceptable, just so long as the writer discloses their use of AI. 

As AI content floods the internet, Pangram raises M to detect it | TechCrunch
New York-based AI detection startup Pangram is on a mission to combat the AI slop infestation spreading across the internet, and it just raised  million on a bet that demand for tools that distinguish human-generated content from AI-generated text will only grow. 

Pangram’s fundraise — led by Menlo Ventures, with participation from Haystack, ScOp, Script Capital, and Cadenza — comes as the startup also launches its next-generation AI text detection model, Pangram 4, and an AI image detection model, Pangram Image. 







Pangram says the new text detection model is over 99% accurate at finding AI-assisted writing and mixed human-AI content, plus it can more easily detect AI humanizer programs. The AI image detector is only available via research preview for now; Pangram plans to release it more widely in the coming weeks.

Stanford AI and machine learning grads Max Spero and Bradley Emi launched Pangram about two years ago, after the launch of ChatGPT opened the floodgates for an internet full of bots, AI-generated SEO slop content, and what Spero calls “LLM-powered Russian disinformation campaigns and UAE-influenced campaigns on Twitter.”

“I think it’s just incredibly valuable to know whether what you’re looking at is something that’s AI-generated or not,” Spero told TechCrunch. “Especially text that you’re reading, because it changes how people approach the text. Is this something that I’m going to have to look out for hallucinations and jump in skeptically, or is this something that I trust was well-researched from an actual journalist?”

Pangram’s AI detection system is essentially a large machine learning model that was trained on tens of millions of known human documents. The startup then created a “synthetic mirror” for each document, replicating the topic, length, and tone of voice, but written by a frontier LLM. 

“Our model is learning the stylistic differences and the choices that AI makes consistently and is able to use that to learn what makes something AI-generated with high confidence,” Spero said, adding that the AI detector isn’t relying on copy-paste metadata or hidden watermarks. 


For Pangram, AI detection isn’t just about whether or not a piece of text was written entirely by AI. It’s also about distinguishing between levels of AI assistance — like in the case of someone who writes something themselves, but then asks AI to edit or clean it up. Spero believes AI assistance can be acceptable, just so long as the writer discloses their use of AI. 

Image Credits:Pangram

Pangram’s emergence comes at a time when AI usage is becoming more commonplace. In some cases, like the Canadian politician who read an AI prompt aloud in a speech to lawmakers, the mistakes result in ridicule. In other cases, as with certain lawyers making their case using fake citations created by ChatGPT, the consequences could be sanctions and fines.  

That backlash isn’t just costing individuals embarrassment or sanctions — it’s starting to show up in institutional rules, too.







The open-access archive arXiv introduced a new enforcement policy this year, stating that submissions containing evidence that authors failed to review LLM output (like hallucinated references or meta comments such as, “Would you like me to make any changes?”) can trigger a one-year submission ban.

Pangram isn’t the only one betting that AI detection will become more sought after. Competitors like Winston AI, Originality.ai, Copyleaks, and GPTZero are are chasing the same demand, each building its own detector.

Pangram’s technology, while not perfect, could help fuel the resistance to accepting the AI-generated content flooding the internet, the courtroom, and academic papers. 

Users can access Pangram via a -per-month subscription on the web or download the Chrome extension, which automatically labels posts in real time on X, LinkedIn, Substack, Reddit, and Medium. It also provides a feed health score with a percentage breakdown of human versus AI content on your screen. 

Pangram also offers its technology via API. Notably, Substack recently integrated Pangram’s technology into its platform to show readers which of their favorite authors write their newsletters using AI. Other API customers include Quora, schools and universities, publishers and agents, and recruiters, among others, per Spero. 

Does Pangram work?

Pangram detected AI-generated content even when lightly edited by a human. Image Credits:Pangram/TechCrunch

Spero said roughly one in 10,000 human documents are incorrectly labeled as AI with Pangram’s model, so I decided to put it to the test. The text detection model was very impressive but not perfect. It easily flagged entirely AI-generated news articles written by both ChatGPT and Claude, and was rarely fooled by my attempts to edit the AI-generated text into sounding more human. At the same time, Pangram did flag sentences that I completely rewrote as being AI-written. Pangram also wasn’t at all fooled by my attempts to prompt ChatGPT and Claude into evading AI detectors when generating content.  

I also gave ChatGPT and Claude one of my own articles and asked them to polish it up. Pangram gave it a 13% AI assisted score, which was probably close to accurate, but the model was able to detect subtle word-choice changes in some sentences and ignored them in others. It also flagged some sentences as AI-assisted when they were human written. That was notable because when I gave Pangram that same article in its entirety, as I had written it, it got a 100% human score. 

Maybe the problem was that news articles can be a bit dry and could easily sound like AI. So I tried a different tactic. I tested Pangram on my own more voicey, personal Substack newsletter content, pasting the first half of the text into Pangram and then asking ChatGPT and Claude to copy my style and write the second half. For the most part, Pangram easily detected human-written text versus AI-written text.







My limited testing of Pangram’s new image detection model turned out to be equally impressive. 

Image Credits:Pangram/TechCrunch

Pangram’s AI image detection system promises to spot AI-generated images across AI models, unlike OpenAI’s or Google DeepMind’s watermark-based checks, which mostly detect their own output. It works on pixel-level distributions, learning subtle statistical differences between real photos and AI-generated images. Spero says the model can even detect an AI image that appears inside a real-world photo. 

In my testing, the model easily detected AI-generated imagery, whether it was photorealistic or cartoonish. I can also confirm the model could detect an AI image appearing in a real-world photo — the heat map Pangram provides clearly lighting up over the image — though in one instance it incorrectly labeled a photo of an AI-generated image as human content. 

Spero says he doesn’t want his technology to fuel a witch hunt against people using AI for writing, but that there needs to be some sort of mechanism to push back against the slop. 

“The future that I see is that AI content just continues to proliferate,” Spero said. “We’re getting new GPUs faster than new people are being born. If we do not actively discriminate in favor of human content, then we’re just gonna see more and more AI, and it’s just gonna drown out any human signal that we have.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#content #floods #internet #Pangram #raises #detect #TechCrunchai slop
Image Credits:Pangram

Pangram’s emergence comes at a time when AI usage is becoming more commonplace. In some cases, like the Canadian politician who read an AI prompt aloud in a speech to lawmakers, the mistakes result in ridicule. In other cases, as with certain lawyers making their case using fake citations created by ChatGPT, the consequences could be sanctions and fines.  

That backlash isn’t just costing individuals embarrassment or sanctions — it’s starting to show up in institutional rules, too.

The open-access archive arXiv introduced a new enforcement policy this year, stating that submissions containing evidence that authors failed to review LLM output (like hallucinated references or meta comments such as, “Would you like me to make any changes?”) can trigger a one-year submission ban.

Pangram isn’t the only one betting that AI detection will become more sought after. Competitors like Winston AI, Originality.ai, Copyleaks, and GPTZero are are chasing the same demand, each building its own detector.

Pangram’s technology, while not perfect, could help fuel the resistance to accepting the AI-generated content flooding the internet, the courtroom, and academic papers. 

Users can access Pangram via a $20-per-month subscription on the web or download the Chrome extension, which automatically labels posts in real time on X, LinkedIn, Substack, Reddit, and Medium. It also provides a feed health score with a percentage breakdown of human versus AI content on your screen. 

Pangram also offers its technology via API. Notably, Substack recently integrated Pangram’s technology into its platform to show readers which of their favorite authors write their newsletters using AI. Other API customers include Quora, schools and universities, publishers and agents, and recruiters, among others, per Spero. 

Does Pangram work?

Pangram detected AI-generated content even when lightly edited by a human. Image Credits:Pangram/TechCrunch

Spero said roughly one in 10,000 human documents are incorrectly labeled as AI with Pangram’s model, so I decided to put it to the test. The text detection model was very impressive but not perfect. It easily flagged entirely AI-generated news articles written by both ChatGPT and Claude, and was rarely fooled by my attempts to edit the AI-generated text into sounding more human. At the same time, Pangram did flag sentences that I completely rewrote as being AI-written. Pangram also wasn’t at all fooled by my attempts to prompt ChatGPT and Claude into evading AI detectors when generating content.  

I also gave ChatGPT and Claude one of my own articles and asked them to polish it up. Pangram gave it a 13% AI assisted score, which was probably close to accurate, but the model was able to detect subtle word-choice changes in some sentences and ignored them in others. It also flagged some sentences as AI-assisted when they were human written. That was notable because when I gave Pangram that same article in its entirety, as I had written it, it got a 100% human score. 

Maybe the problem was that news articles can be a bit dry and could easily sound like AI. So I tried a different tactic. I tested Pangram on my own more voicey, personal Substack newsletter content, pasting the first half of the text into Pangram and then asking ChatGPT and Claude to copy my style and write the second half. For the most part, Pangram easily detected human-written text versus AI-written text.

My limited testing of Pangram’s new image detection model turned out to be equally impressive. 

Image Credits:Pangram/TechCrunch

Pangram’s AI image detection system promises to spot AI-generated images across AI models, unlike OpenAI’s or Google DeepMind’s watermark-based checks, which mostly detect their own output. It works on pixel-level distributions, learning subtle statistical differences between real photos and AI-generated images. Spero says the model can even detect an AI image that appears inside a real-world photo. 

In my testing, the model easily detected AI-generated imagery, whether it was photorealistic or cartoonish. I can also confirm the model could detect an AI image appearing in a real-world photo — the heat map Pangram provides clearly lighting up over the image — though in one instance it incorrectly labeled a photo of an AI-generated image as human content. 

Spero says he doesn’t want his technology to fuel a witch hunt against people using AI for writing, but that there needs to be some sort of mechanism to push back against the slop. 

“The future that I see is that AI content just continues to proliferate,” Spero said. “We’re getting new GPUs faster than new people are being born. If we do not actively discriminate in favor of human content, then we’re just gonna see more and more AI, and it’s just gonna drown out any human signal that we have.”

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#content #floods #internet #Pangram #raises #detect #TechCrunchai slop

New York-based AI detection startup Pangram is on a mission to combat the AI slop infestation spreading across the internet, and it just raised $9 million on a bet that demand for tools that distinguish human-generated content from AI-generated text will only grow. 

Pangram’s fundraise — led by Menlo Ventures, with participation from Haystack, ScOp, Script Capital, and Cadenza — comes as the startup also launches its next-generation AI text detection model, Pangram 4, and an AI image detection model, Pangram Image. 

Pangram says the new text detection model is over 99% accurate at finding AI-assisted writing and mixed human-AI content, plus it can more easily detect AI humanizer programs. The AI image detector is only available via research preview for now; Pangram plans to release it more widely in the coming weeks.

Stanford AI and machine learning grads Max Spero and Bradley Emi launched Pangram about two years ago, after the launch of ChatGPT opened the floodgates for an internet full of bots, AI-generated SEO slop content, and what Spero calls “LLM-powered Russian disinformation campaigns and UAE-influenced campaigns on Twitter.”

“I think it’s just incredibly valuable to know whether what you’re looking at is something that’s AI-generated or not,” Spero told TechCrunch. “Especially text that you’re reading, because it changes how people approach the text. Is this something that I’m going to have to look out for hallucinations and jump in skeptically, or is this something that I trust was well-researched from an actual journalist?”

Pangram’s AI detection system is essentially a large machine learning model that was trained on tens of millions of known human documents. The startup then created a “synthetic mirror” for each document, replicating the topic, length, and tone of voice, but written by a frontier LLM. 

“Our model is learning the stylistic differences and the choices that AI makes consistently and is able to use that to learn what makes something AI-generated with high confidence,” Spero said, adding that the AI detector isn’t relying on copy-paste metadata or hidden watermarks. 

For Pangram, AI detection isn’t just about whether or not a piece of text was written entirely by AI. It’s also about distinguishing between levels of AI assistance — like in the case of someone who writes something themselves, but then asks AI to edit or clean it up. Spero believes AI assistance can be acceptable, just so long as the writer discloses their use of AI. 

Image Credits:Pangram

Pangram’s emergence comes at a time when AI usage is becoming more commonplace. In some cases, like the Canadian politician who read an AI prompt aloud in a speech to lawmakers, the mistakes result in ridicule. In other cases, as with certain lawyers making their case using fake citations created by ChatGPT, the consequences could be sanctions and fines.  

That backlash isn’t just costing individuals embarrassment or sanctions — it’s starting to show up in institutional rules, too.

The open-access archive arXiv introduced a new enforcement policy this year, stating that submissions containing evidence that authors failed to review LLM output (like hallucinated references or meta comments such as, “Would you like me to make any changes?”) can trigger a one-year submission ban.

Pangram isn’t the only one betting that AI detection will become more sought after. Competitors like Winston AI, Originality.ai, Copyleaks, and GPTZero are are chasing the same demand, each building its own detector.

Pangram’s technology, while not perfect, could help fuel the resistance to accepting the AI-generated content flooding the internet, the courtroom, and academic papers. 

Users can access Pangram via a $20-per-month subscription on the web or download the Chrome extension, which automatically labels posts in real time on X, LinkedIn, Substack, Reddit, and Medium. It also provides a feed health score with a percentage breakdown of human versus AI content on your screen. 

Pangram also offers its technology via API. Notably, Substack recently integrated Pangram’s technology into its platform to show readers which of their favorite authors write their newsletters using AI. Other API customers include Quora, schools and universities, publishers and agents, and recruiters, among others, per Spero. 

Does Pangram work?

Pangram detected AI-generated content even when lightly edited by a human. Image Credits:Pangram/TechCrunch

Spero said roughly one in 10,000 human documents are incorrectly labeled as AI with Pangram’s model, so I decided to put it to the test. The text detection model was very impressive but not perfect. It easily flagged entirely AI-generated news articles written by both ChatGPT and Claude, and was rarely fooled by my attempts to edit the AI-generated text into sounding more human. At the same time, Pangram did flag sentences that I completely rewrote as being AI-written. Pangram also wasn’t at all fooled by my attempts to prompt ChatGPT and Claude into evading AI detectors when generating content.  

I also gave ChatGPT and Claude one of my own articles and asked them to polish it up. Pangram gave it a 13% AI assisted score, which was probably close to accurate, but the model was able to detect subtle word-choice changes in some sentences and ignored them in others. It also flagged some sentences as AI-assisted when they were human written. That was notable because when I gave Pangram that same article in its entirety, as I had written it, it got a 100% human score. 

Maybe the problem was that news articles can be a bit dry and could easily sound like AI. So I tried a different tactic. I tested Pangram on my own more voicey, personal Substack newsletter content, pasting the first half of the text into Pangram and then asking ChatGPT and Claude to copy my style and write the second half. For the most part, Pangram easily detected human-written text versus AI-written text.

My limited testing of Pangram’s new image detection model turned out to be equally impressive. 

Image Credits:Pangram/TechCrunch

Pangram’s AI image detection system promises to spot AI-generated images across AI models, unlike OpenAI’s or Google DeepMind’s watermark-based checks, which mostly detect their own output. It works on pixel-level distributions, learning subtle statistical differences between real photos and AI-generated images. Spero says the model can even detect an AI image that appears inside a real-world photo. 

In my testing, the model easily detected AI-generated imagery, whether it was photorealistic or cartoonish. I can also confirm the model could detect an AI image appearing in a real-world photo — the heat map Pangram provides clearly lighting up over the image — though in one instance it incorrectly labeled a photo of an AI-generated image as human content. 

Spero says he doesn’t want his technology to fuel a witch hunt against people using AI for writing, but that there needs to be some sort of mechanism to push back against the slop. 

“The future that I see is that AI content just continues to proliferate,” Spero said. “We’re getting new GPUs faster than new people are being born. If we do not actively discriminate in favor of human content, then we’re just gonna see more and more AI, and it’s just gonna drown out any human signal that we have.”

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

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#content #floods #internet #Pangram #raises #detect #TechCrunch


Before Denis Villeneuve came aboard as the next James Bond movie director, another intriguing project was sitting in his potential “to-do” pile: an adaptation of Nuclear War: A Scenario, Annie Jacobsen‘s 2024 book that uses extensive interviews and research to examine, minute by minute, what would happen if nuclear war broke out. Her latest book sounds very much in that same vein; it’s titled Biological War: A Scenario, and though it’s just been released today, it’s already been scooped up for adaptation.

Variety reports that Patrick Macmanus (the creator of Peacock’s Devil in Disguise: John Wayne Gacy) secured the rights to a television adaptation for his production company; he and Jacobsen will co-create and serve as executive producers on Biological War.

The book takes a close look at the seconds, minutes, hours, and days after the release of a microscopic agent that could bring down civilization if it’s allowed to spread across the globe. And it’s a weapon, not unlike The Stand‘s Captain Trips, so presumably the show will include a heavy government-military aspect to things as well.

“What begins with a routine day leads to the end of the world six days later,” Macmamus told Variety. “But it isn’t ultimately a nihilistic show. Yes. There’s the dark excitement and exploration of the apocalypse. But there’s a parallel story of the instinct to protect and rebuild. A celebration of community and family. The wish-fulfillment of starting the human experiment over again in the hopes of getting it right this time around.”

The Variety piece mentions the potential Villeneuve adaptation of Nuclear War, so maybe we’ll get to see that on screens eventually too. So far, there’s no streamer or network locked in for Biological War, but the trade writes “the television adaptation will be taken out to buyers in the upcoming weeks.”

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.

#Annie #Jacobsens #Biological #War #ComingAnnie Jacobsen,Biological War">Annie Jacobsen’s ‘Biological War’ Is Coming to TV
                Before Denis Villeneuve came aboard as the next James Bond movie director, another intriguing project was sitting in his potential “to-do” pile: an adaptation of Nuclear War: A Scenario, Annie Jacobsen‘s 2024 book that uses extensive interviews and research to examine, minute by minute, what would happen if nuclear war broke out. Her latest book sounds very much in that same vein; it’s titled Biological War: A Scenario, and though it’s just been released today, it’s already been scooped up for adaptation.

 Variety reports that Patrick Macmanus (the creator of Peacock’s Devil in Disguise: John Wayne Gacy) secured the rights to a television adaptation for his production company; he and Jacobsen will co-create and serve as executive producers on Biological War. The book takes a close look at the seconds, minutes, hours, and days after the release of a microscopic agent that could bring down civilization if it’s allowed to spread across the globe. And it’s a weapon, not unlike The Stand‘s Captain Trips, so presumably the show will include a heavy government-military aspect to things as well. “What begins with a routine day leads to the end of the world six days later,” Macmamus told Variety. “But it isn’t ultimately a nihilistic show. Yes. There’s the dark excitement and exploration of the apocalypse. But there’s a parallel story of the instinct to protect and rebuild. A celebration of community and family. The wish-fulfillment of starting the human experiment over again in the hopes of getting it right this time around.”

 The Variety piece mentions the potential Villeneuve adaptation of Nuclear War, so maybe we’ll get to see that on screens eventually too. So far, there’s no streamer or network locked in for Biological War, but the trade writes “the television adaptation will be taken out to buyers in the upcoming weeks.”  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.      #Annie #Jacobsens #Biological #War #ComingAnnie Jacobsen,Biological War

came aboard as the next James Bond movie director, another intriguing project was sitting in his potential “to-do” pile: an adaptation of Nuclear War: A Scenario, Annie Jacobsen‘s 2024 book that uses extensive interviews and research to examine, minute by minute, what would happen if nuclear war broke out. Her latest book sounds very much in that same vein; it’s titled Biological War: A Scenario, and though it’s just been released today, it’s already been scooped up for adaptation.

Variety reports that Patrick Macmanus (the creator of Peacock’s Devil in Disguise: John Wayne Gacy) secured the rights to a television adaptation for his production company; he and Jacobsen will co-create and serve as executive producers on Biological War.

The book takes a close look at the seconds, minutes, hours, and days after the release of a microscopic agent that could bring down civilization if it’s allowed to spread across the globe. And it’s a weapon, not unlike The Stand‘s Captain Trips, so presumably the show will include a heavy government-military aspect to things as well.

“What begins with a routine day leads to the end of the world six days later,” Macmamus told Variety. “But it isn’t ultimately a nihilistic show. Yes. There’s the dark excitement and exploration of the apocalypse. But there’s a parallel story of the instinct to protect and rebuild. A celebration of community and family. The wish-fulfillment of starting the human experiment over again in the hopes of getting it right this time around.”

The Variety piece mentions the potential Villeneuve adaptation of Nuclear War, so maybe we’ll get to see that on screens eventually too. So far, there’s no streamer or network locked in for Biological War, but the trade writes “the television adaptation will be taken out to buyers in the upcoming weeks.”

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.

#Annie #Jacobsens #Biological #War #ComingAnnie Jacobsen,Biological War">Annie Jacobsen’s ‘Biological War’ Is Coming to TVAnnie Jacobsen’s ‘Biological War’ Is Coming to TV
                Before Denis Villeneuve came aboard as the next James Bond movie director, another intriguing project was sitting in his potential “to-do” pile: an adaptation of Nuclear War: A Scenario, Annie Jacobsen‘s 2024 book that uses extensive interviews and research to examine, minute by minute, what would happen if nuclear war broke out. Her latest book sounds very much in that same vein; it’s titled Biological War: A Scenario, and though it’s just been released today, it’s already been scooped up for adaptation.

 Variety reports that Patrick Macmanus (the creator of Peacock’s Devil in Disguise: John Wayne Gacy) secured the rights to a television adaptation for his production company; he and Jacobsen will co-create and serve as executive producers on Biological War. The book takes a close look at the seconds, minutes, hours, and days after the release of a microscopic agent that could bring down civilization if it’s allowed to spread across the globe. And it’s a weapon, not unlike The Stand‘s Captain Trips, so presumably the show will include a heavy government-military aspect to things as well. “What begins with a routine day leads to the end of the world six days later,” Macmamus told Variety. “But it isn’t ultimately a nihilistic show. Yes. There’s the dark excitement and exploration of the apocalypse. But there’s a parallel story of the instinct to protect and rebuild. A celebration of community and family. The wish-fulfillment of starting the human experiment over again in the hopes of getting it right this time around.”

 The Variety piece mentions the potential Villeneuve adaptation of Nuclear War, so maybe we’ll get to see that on screens eventually too. So far, there’s no streamer or network locked in for Biological War, but the trade writes “the television adaptation will be taken out to buyers in the upcoming weeks.”  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.      #Annie #Jacobsens #Biological #War #ComingAnnie Jacobsen,Biological War

Before Denis Villeneuve came aboard as the next James Bond movie director, another intriguing project was sitting in his potential “to-do” pile: an adaptation of Nuclear War: A Scenario, Annie Jacobsen‘s 2024 book that uses extensive interviews and research to examine, minute by minute, what would happen if nuclear war broke out. Her latest book sounds very much in that same vein; it’s titled Biological War: A Scenario, and though it’s just been released today, it’s already been scooped up for adaptation.

Variety reports that Patrick Macmanus (the creator of Peacock’s Devil in Disguise: John Wayne Gacy) secured the rights to a television adaptation for his production company; he and Jacobsen will co-create and serve as executive producers on Biological War.

The book takes a close look at the seconds, minutes, hours, and days after the release of a microscopic agent that could bring down civilization if it’s allowed to spread across the globe. And it’s a weapon, not unlike The Stand‘s Captain Trips, so presumably the show will include a heavy government-military aspect to things as well.

“What begins with a routine day leads to the end of the world six days later,” Macmamus told Variety. “But it isn’t ultimately a nihilistic show. Yes. There’s the dark excitement and exploration of the apocalypse. But there’s a parallel story of the instinct to protect and rebuild. A celebration of community and family. The wish-fulfillment of starting the human experiment over again in the hopes of getting it right this time around.”

The Variety piece mentions the potential Villeneuve adaptation of Nuclear War, so maybe we’ll get to see that on screens eventually too. So far, there’s no streamer or network locked in for Biological War, but the trade writes “the television adaptation will be taken out to buyers in the upcoming weeks.”

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.

#Annie #Jacobsens #Biological #War #ComingAnnie Jacobsen,Biological War

perhaps the most disturbing harassment campaign ever led by a giant tech company against its critics.

Back in 2020, six former eBay employees and one contractor were charged with participating in a horrifying campaign—featuring doxxing, threats, and deliveries of live pests—against David and Ina Steiner, the husband-and-wife founders of the Massachusetts-based news site EcommerceBytes. The Steiners wrote about eBay regularly, and often not in a flattering light. In 2021, the couple filed a civil suit; EBay later agreed to pay a $3 million criminal penalty to the US Attorney’s Office in the District of Massachusetts.

Now the civil litigation case just reached a final settlement. The Steiners will receive more than $46.15 million from eBay, $2 million from Wenig, $500,000 from former eBay executive Wendy Jones, and $50,000 from former eBay executive Steve Wymer.

EBay is also giving $6 million to charity, with an additional $1 million from Wenig going to a nonprofit that protects First Amendment rights. The company is required to issue a strongly worded statement condemning the actions of the former employees who were involved.

Notably, the settlement contains no confidentiality provision, which means the Steiners can continue to speak out about the case.

“From day one, that was a dealbreaker,” says Chris Murphy, an attorney for the Steiners at the personal injury firm Scalli Murphy Law in Everett, Massachusetts. “As journalists, and as victims, the Steiners were very clear that they wanted everyone to see and understand what eBay did to them. And from day one, they were ready to go to trial over it.”

“It’s a relief in some sense that we have some finality,” David Steiner said in an interview with WIRED. “But I think that it’s going to take a while to really see what this means in the bigger context of a settlement, versus having gone to trial. We were really adamant that this type of behavior by a Fortune 500 corporation didn’t go unchecked.”

Ina Steiner underscored that the couple ultimately pursued a civil suit because they wanted to better understand the kind of culture that precipitated this harassment campaign—and that in filing the civil suit, they gained access to 68,000 documents they would not have otherwise seen. “We were often in the dark during the federal investigation, and we were told very little as victims,” she said.

Spokespersons for eBay referred WIRED to a statement published online, in which the company extended its “deepest apologies” to the Steiners, condemned the employees who “perpetrated and pled guilty to criminal charges for the misconduct against Ina and David Steiner,” and acknowledged “the unprofessional tone in internal communications demonstrated, to different degrees and number, by Mr. Wenig, Mr. Wymer, and Ms. Jones.” The company emphasized that new leadership is now in charge, and that the incidents from 2019 are “not representative of eBay’s culture or thousands of employees around the world today.”

According to the initial criminal complaints, the harassment campaign led by eBay executives and contractors unfolded over a period of two months in the summer 2019. It began with anonymous, threatening Twitter DMs to the Steiners, then quickly escalated to deliveries to the couple’s home. These deliveries included a bloody pig mask, pornography, a package of fly larvae and live spiders, and another package containing live cockroaches. Other deliveries were themed around death, including a copy of a book on grieving a spouse and a funeral wreath from a local florist. All throughout, the anonymous Twitter account continued to send harassing messages. As text messages would later reveal in court documents, those DMs and deliveries were concocted and sent by the defendants.

#Ebay #Pay #Million #Settlement #Unhinged #Harassment #Campaignebay,harassment,crime,surveillance">Ebay Has to Pay .7 Million in Settlement for Its Unhinged Harassment CampaignA civil litigation case against eBay, filed by the founders of a Massachusetts-based news site that covers ecommerce, has just been settled. The gist of it: The company and former execs have to own up to—and pay up for—perhaps the most disturbing harassment campaign ever led by a giant tech company against its critics.Back in 2020, six former eBay employees and one contractor were charged with participating in a horrifying campaign—featuring doxxing, threats, and deliveries of live pests—against David and Ina Steiner, the husband-and-wife founders of the Massachusetts-based news site EcommerceBytes. The Steiners wrote about eBay regularly, and often not in a flattering light. In 2021, the couple filed a civil suit; EBay later agreed to pay a  million criminal penalty to the US Attorney’s Office in the District of Massachusetts.Now the civil litigation case just reached a final settlement. The Steiners will receive more than .15 million from eBay,  million from Wenig, 0,000 from former eBay executive Wendy Jones, and ,000 from former eBay executive Steve Wymer.EBay is also giving  million to charity, with an additional  million from Wenig going to a nonprofit that protects First Amendment rights. The company is required to issue a strongly worded statement condemning the actions of the former employees who were involved.Notably, the settlement contains no confidentiality provision, which means the Steiners can continue to speak out about the case.“From day one, that was a dealbreaker,” says Chris Murphy, an attorney for the Steiners at the personal injury firm Scalli Murphy Law in Everett, Massachusetts. “As journalists, and as victims, the Steiners were very clear that they wanted everyone to see and understand what eBay did to them. And from day one, they were ready to go to trial over it.”“It’s a relief in some sense that we have some finality,” David Steiner said in an interview with WIRED. “But I think that it’s going to take a while to really see what this means in the bigger context of a settlement, versus having gone to trial. We were really adamant that this type of behavior by a Fortune 500 corporation didn’t go unchecked.”Ina Steiner underscored that the couple ultimately pursued a civil suit because they wanted to better understand the kind of culture that precipitated this harassment campaign—and that in filing the civil suit, they gained access to 68,000 documents they would not have otherwise seen. “We were often in the dark during the federal investigation, and we were told very little as victims,” she said.Spokespersons for eBay referred WIRED to a statement published online, in which the company extended its “deepest apologies” to the Steiners, condemned the employees who “perpetrated and pled guilty to criminal charges for the misconduct against Ina and David Steiner,” and acknowledged “the unprofessional tone in internal communications demonstrated, to different degrees and number, by Mr. Wenig, Mr. Wymer, and Ms. Jones.” The company emphasized that new leadership is now in charge, and that the incidents from 2019 are “not representative of eBay’s culture or thousands of employees around the world today.”According to the initial criminal complaints, the harassment campaign led by eBay executives and contractors unfolded over a period of two months in the summer 2019. It began with anonymous, threatening Twitter DMs to the Steiners, then quickly escalated to deliveries to the couple’s home. These deliveries included a bloody pig mask, pornography, a package of fly larvae and live spiders, and another package containing live cockroaches. Other deliveries were themed around death, including a copy of a book on grieving a spouse and a funeral wreath from a local florist. All throughout, the anonymous Twitter account continued to send harassing messages. As text messages would later reveal in court documents, those DMs and deliveries were concocted and sent by the defendants.#Ebay #Pay #Million #Settlement #Unhinged #Harassment #Campaignebay,harassment,crime,surveillance

ever led by a giant tech company against its critics.

Back in 2020, six former eBay employees and one contractor were charged with participating in a horrifying campaign—featuring doxxing, threats, and deliveries of live pests—against David and Ina Steiner, the husband-and-wife founders of the Massachusetts-based news site EcommerceBytes. The Steiners wrote about eBay regularly, and often not in a flattering light. In 2021, the couple filed a civil suit; EBay later agreed to pay a $3 million criminal penalty to the US Attorney’s Office in the District of Massachusetts.

Now the civil litigation case just reached a final settlement. The Steiners will receive more than $46.15 million from eBay, $2 million from Wenig, $500,000 from former eBay executive Wendy Jones, and $50,000 from former eBay executive Steve Wymer.

EBay is also giving $6 million to charity, with an additional $1 million from Wenig going to a nonprofit that protects First Amendment rights. The company is required to issue a strongly worded statement condemning the actions of the former employees who were involved.

Notably, the settlement contains no confidentiality provision, which means the Steiners can continue to speak out about the case.

“From day one, that was a dealbreaker,” says Chris Murphy, an attorney for the Steiners at the personal injury firm Scalli Murphy Law in Everett, Massachusetts. “As journalists, and as victims, the Steiners were very clear that they wanted everyone to see and understand what eBay did to them. And from day one, they were ready to go to trial over it.”

“It’s a relief in some sense that we have some finality,” David Steiner said in an interview with WIRED. “But I think that it’s going to take a while to really see what this means in the bigger context of a settlement, versus having gone to trial. We were really adamant that this type of behavior by a Fortune 500 corporation didn’t go unchecked.”

Ina Steiner underscored that the couple ultimately pursued a civil suit because they wanted to better understand the kind of culture that precipitated this harassment campaign—and that in filing the civil suit, they gained access to 68,000 documents they would not have otherwise seen. “We were often in the dark during the federal investigation, and we were told very little as victims,” she said.

Spokespersons for eBay referred WIRED to a statement published online, in which the company extended its “deepest apologies” to the Steiners, condemned the employees who “perpetrated and pled guilty to criminal charges for the misconduct against Ina and David Steiner,” and acknowledged “the unprofessional tone in internal communications demonstrated, to different degrees and number, by Mr. Wenig, Mr. Wymer, and Ms. Jones.” The company emphasized that new leadership is now in charge, and that the incidents from 2019 are “not representative of eBay’s culture or thousands of employees around the world today.”

According to the initial criminal complaints, the harassment campaign led by eBay executives and contractors unfolded over a period of two months in the summer 2019. It began with anonymous, threatening Twitter DMs to the Steiners, then quickly escalated to deliveries to the couple’s home. These deliveries included a bloody pig mask, pornography, a package of fly larvae and live spiders, and another package containing live cockroaches. Other deliveries were themed around death, including a copy of a book on grieving a spouse and a funeral wreath from a local florist. All throughout, the anonymous Twitter account continued to send harassing messages. As text messages would later reveal in court documents, those DMs and deliveries were concocted and sent by the defendants.

#Ebay #Pay #Million #Settlement #Unhinged #Harassment #Campaignebay,harassment,crime,surveillance">Ebay Has to Pay $55.7 Million in Settlement for Its Unhinged Harassment Campaign

A civil litigation case against eBay, filed by the founders of a Massachusetts-based news site that covers ecommerce, has just been settled. The gist of it: The company and former execs have to own up to—and pay up for—perhaps the most disturbing harassment campaign ever led by a giant tech company against its critics.

Back in 2020, six former eBay employees and one contractor were charged with participating in a horrifying campaign—featuring doxxing, threats, and deliveries of live pests—against David and Ina Steiner, the husband-and-wife founders of the Massachusetts-based news site EcommerceBytes. The Steiners wrote about eBay regularly, and often not in a flattering light. In 2021, the couple filed a civil suit; EBay later agreed to pay a $3 million criminal penalty to the US Attorney’s Office in the District of Massachusetts.

Now the civil litigation case just reached a final settlement. The Steiners will receive more than $46.15 million from eBay, $2 million from Wenig, $500,000 from former eBay executive Wendy Jones, and $50,000 from former eBay executive Steve Wymer.

EBay is also giving $6 million to charity, with an additional $1 million from Wenig going to a nonprofit that protects First Amendment rights. The company is required to issue a strongly worded statement condemning the actions of the former employees who were involved.

Notably, the settlement contains no confidentiality provision, which means the Steiners can continue to speak out about the case.

“From day one, that was a dealbreaker,” says Chris Murphy, an attorney for the Steiners at the personal injury firm Scalli Murphy Law in Everett, Massachusetts. “As journalists, and as victims, the Steiners were very clear that they wanted everyone to see and understand what eBay did to them. And from day one, they were ready to go to trial over it.”

“It’s a relief in some sense that we have some finality,” David Steiner said in an interview with WIRED. “But I think that it’s going to take a while to really see what this means in the bigger context of a settlement, versus having gone to trial. We were really adamant that this type of behavior by a Fortune 500 corporation didn’t go unchecked.”

Ina Steiner underscored that the couple ultimately pursued a civil suit because they wanted to better understand the kind of culture that precipitated this harassment campaign—and that in filing the civil suit, they gained access to 68,000 documents they would not have otherwise seen. “We were often in the dark during the federal investigation, and we were told very little as victims,” she said.

Spokespersons for eBay referred WIRED to a statement published online, in which the company extended its “deepest apologies” to the Steiners, condemned the employees who “perpetrated and pled guilty to criminal charges for the misconduct against Ina and David Steiner,” and acknowledged “the unprofessional tone in internal communications demonstrated, to different degrees and number, by Mr. Wenig, Mr. Wymer, and Ms. Jones.” The company emphasized that new leadership is now in charge, and that the incidents from 2019 are “not representative of eBay’s culture or thousands of employees around the world today.”

According to the initial criminal complaints, the harassment campaign led by eBay executives and contractors unfolded over a period of two months in the summer 2019. It began with anonymous, threatening Twitter DMs to the Steiners, then quickly escalated to deliveries to the couple’s home. These deliveries included a bloody pig mask, pornography, a package of fly larvae and live spiders, and another package containing live cockroaches. Other deliveries were themed around death, including a copy of a book on grieving a spouse and a funeral wreath from a local florist. All throughout, the anonymous Twitter account continued to send harassing messages. As text messages would later reveal in court documents, those DMs and deliveries were concocted and sent by the defendants.

#Ebay #Pay #Million #Settlement #Unhinged #Harassment #Campaignebay,harassment,crime,surveillance

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