#ai-detection — Public Fediverse posts

Swimming the Author

https://bolesblogs.com/2026/08/03/swimming-the-author/

Swimming the Author

https://bolesblogs.com/2026/08/03/swimming-the-author/

Swimming the Author

https://bolesblogs.com/2026/08/03/swimming-the-author/

Swimming the Author

https://bolesblogs.com/2026/08/03/swimming-the-author/

Swimming the Author

https://bolesblogs.com/2026/08/03/swimming-the-author/

AudioAuditor by Angel2mp3 🎛️
Spectral analysis, metadata editor, AI detect, batch tools, LUFS/DR, clipping detect, AcoustID, MQA/fake stereo detect

💻 Win/Linux/Mac
🎁 FREE https://audioauditor.org/

#freeplugin #opensource #audioanalysis #spectral #metadata #aidetection #legalvst

AudioAuditor by Angel2mp3 🎛️
Spectral analysis, metadata editor, AI detect, batch tools, LUFS/DR, clipping detect, AcoustID, MQA/fake stereo detect

💻 Win/Linux/Mac
🎁 FREE https://audioauditor.org/

#freeplugin #opensource #audioanalysis #spectral #metadata #aidetection #legalvst

AudioAuditor by Angel2mp3 🎛️
Spectral analysis, metadata editor, AI detect, batch tools, LUFS/DR, clipping detect, AcoustID, MQA/fake stereo detect

💻 Win/Linux/Mac
🎁 FREE https://audioauditor.org/

#freeplugin #opensource #audioanalysis #spectral #metadata #aidetection #legalvst

AudioAuditor by Angel2mp3 🎛️
Spectral analysis, metadata editor, AI detect, batch tools, LUFS/DR, clipping detect, AcoustID, MQA/fake stereo detect

💻 Win/Linux/Mac
🎁 FREE https://audioauditor.org/

#freeplugin #opensource #audioanalysis #spectral #metadata #aidetection #legalvst

AudioAuditor by Angel2mp3 🎛️
Spectral analysis, metadata editor, AI detect, batch tools, LUFS/DR, clipping detect, AcoustID, MQA/fake stereo detect

💻 Win/Linux/Mac
🎁 FREE https://audioauditor.org/

#freeplugin #opensource #audioanalysis #spectral #metadata #aidetection #legalvst

RE: https://mastodon.thi.ng/@toxi/117030783136853538

Being given a 100% AI generated score for your own mental work hurts. It also hurts because the result is presented as absolute and undeniable, with no path for appeal or inspection. A decision presented as a black-box score with no insights revealed how the score has been computed or the specific reasons/patterns which triggered "detection" to begin with[1]... A score produced by a third party which inserted itself as middleman in the communication flow between writers and readers and claims authority and arbiter status over deciding what is slop and what is not. Another layer of statistical machine learning to detect patterns/anomalies of statistical means of language generation...

In this specific case, I don't really care too much what these tools say. I know what I wrote and rewrote, over hours, and to the best of my ability (as non-native English speaker).

The myth of computational objectivity prevails. For decades it was about blind belief in algorithms, now shifted to AI models. The wider public and most decision makers neither seem to understand the difference, nor do they care about the inherent dangers. Pragmatism at all costs. The genie is out and can't be put back. The problems (if acknowledged at all) are always treated as temporary minor hurdles rather than fundamental systemic issues.

It's upsetting how Little Britain's "Computer Says No"[2] attitude and blind outsourcing of black-box classification and decision-making to machines has already been so extremely normalized and is impacting more and more of our lives, for many people/minorities in far more serious and outright deadly ways... 😭

[1] Having worked with many forms of machine learning myself, I know first hand that lack of detailed observability has been plaguing ML disciplines for decades. I think these are also some of the most worrisome aspects of more widely deploying LLM affine tech. Whilst some minor progress has been made, these efforts are severely challenged and thwarted by the exponentially growing model sizes, architectural complexity and distributed nature of agents.

[2] https://en.wikipedia.org/wiki/Computer_says_no

#AI #AIDetection #DecisionMaking

RE: https://mastodon.thi.ng/@toxi/117030783136853538

Being given a 100% AI generated score for your own mental work hurts. It also hurts because the result is presented as absolute and undeniable, with no path for appeal or inspection. A decision presented as a black-box score with no insights revealed how the score has been computed or the specific reasons/patterns which triggered "detection" to begin with[1]... A score produced by a third party which inserted itself as middleman in the communication flow between writers and readers and claims authority and arbiter status over deciding what is slop and what is not. Another layer of statistical machine learning to detect patterns/anomalies of statistical means of language generation...

In this specific case, I don't really care too much what these tools say. I know what I wrote and rewrote, over hours, and to the best of my ability (as non-native English speaker).

The myth of computational objectivity prevails. For decades it was about blind belief in algorithms, now shifted to AI models. The wider public and most decision makers neither seem to understand the difference, nor do they care about the inherent dangers. Pragmatism at all costs. The genie is out and can't be put back. The problems (if acknowledged at all) are always treated as temporary minor hurdles rather than fundamental systemic issues.

It's upsetting how Little Britain's "Computer Says No"[2] attitude and blind outsourcing of black-box classification and decision-making to machines has already been so extremely normalized and is impacting more and more of our lives, for many people/minorities in far more serious and outright deadly ways... 😭

[1] Having worked with many forms of machine learning myself, I know first hand that lack of detailed observability has been plaguing ML disciplines for decades. I think these are also some of the most worrisome aspects of more widely deploying LLM affine tech. Whilst some minor progress has been made, these efforts are severely challenged and thwarted by the exponentially growing model sizes, architectural complexity and distributed nature of agents.

[2] https://en.wikipedia.org/wiki/Computer_says_no

#AI #AIDetection #DecisionMaking

RE: https://mastodon.thi.ng/@toxi/117030783136853538

Being given a 100% AI generated score for your own mental work hurts. It also hurts because the result is presented as absolute and undeniable, with no path for appeal or inspection. A decision presented as a black-box score with no insights revealed how the score has been computed or the specific reasons/patterns which triggered "detection" to begin with[1]... A score produced by a third party which inserted itself as middleman in the communication flow between writers and readers and claims authority and arbiter status over deciding what is slop and what is not. Another layer of statistical machine learning to detect patterns/anomalies of statistical means of language generation...

In this specific case, I don't really care too much what these tools say. I know what I wrote and rewrote, over hours, and to the best of my ability (as non-native English speaker).

The myth of computational objectivity prevails. For decades it was about blind belief in algorithms, now shifted to AI models. The wider public and most decision makers neither seem to understand the difference, nor do they care about the inherent dangers. Pragmatism at all costs. The genie is out and can't be put back. The problems (if acknowledged at all) are always treated as temporary minor hurdles rather than fundamental systemic issues.

It's upsetting how Little Britain's "Computer Says No"[2] attitude and blind outsourcing of black-box classification and decision-making to machines has already been so extremely normalized and is impacting more and more of our lives, for many people/minorities in far more serious and outright deadly ways... 😭

[1] Having worked with many forms of machine learning myself, I know first hand that lack of detailed observability has been plaguing ML disciplines for decades. I think these are also some of the most worrisome aspects of more widely deploying LLM affine tech. Whilst some minor progress has been made, these efforts are severely challenged and thwarted by the exponentially growing model sizes, architectural complexity and distributed nature of agents.

[2] https://en.wikipedia.org/wiki/Computer_says_no

#AI #AIDetection #DecisionMaking

RE: https://mastodon.thi.ng/@toxi/117030783136853538

Being given a 100% AI generated score for your own mental work hurts. It also hurts because the result is presented as absolute and undeniable, with no path for appeal or inspection. A decision presented as a black-box score with no insights revealed how the score has been computed or the specific reasons/patterns which triggered "detection" to begin with[1]... A score produced by a third party which inserted itself as middleman in the communication flow between writers and readers and claims authority and arbiter status over deciding what is slop and what is not. Another layer of statistical machine learning to detect patterns/anomalies of statistical means of language generation...

In this specific case, I don't really care too much what these tools say. I know what I wrote and rewrote, over hours, and to the best of my ability (as non-native English speaker).

The myth of computational objectivity prevails. For decades it was about blind belief in algorithms, now shifted to AI models. The wider public and most decision makers neither seem to understand the difference, nor do they care about the inherent dangers. Pragmatism at all costs. The genie is out and can't be put back. The problems (if acknowledged at all) are always treated as temporary minor hurdles rather than fundamental systemic issues.

It's upsetting how Little Britain's "Computer Says No"[2] attitude and blind outsourcing of black-box classification and decision-making to machines has already been so extremely normalized and is impacting more and more of our lives, for many people/minorities in far more serious and outright deadly ways... 😭

[1] Having worked with many forms of machine learning myself, I know first hand that lack of detailed observability has been plaguing ML disciplines for decades. I think these are also some of the most worrisome aspects of more widely deploying LLM affine tech. Whilst some minor progress has been made, these efforts are severely challenged and thwarted by the exponentially growing model sizes, architectural complexity and distributed nature of agents.

[2] https://en.wikipedia.org/wiki/Computer_says_no

#AI #AIDetection #DecisionMaking

RE: https://mastodon.thi.ng/@toxi/117030783136853538

Being given a 100% AI generated score for your own mental work hurts. It also hurts because the result is presented as absolute and undeniable, with no path for appeal or inspection. A decision presented as a black-box score with no insights revealed how the score has been computed or the specific reasons/patterns which triggered "detection" to begin with[1]... A score produced by a third party which inserted itself as middleman in the communication flow between writers and readers and claims authority and arbiter status over deciding what is slop and what is not. Another layer of statistical machine learning to detect patterns/anomalies of statistical means of language generation...

In this specific case, I don't really care too much what these tools say. I know what I wrote and rewrote, over hours, and to the best of my ability (as non-native English speaker).

The myth of computational objectivity prevails. For decades it was about blind belief in algorithms, now shifted to AI models. The wider public and most decision makers neither seem to understand the difference, nor do they care about the inherent dangers. Pragmatism at all costs. The genie is out and can't be put back. The problems (if acknowledged at all) are always treated as temporary minor hurdles rather than fundamental systemic issues.

It's upsetting how Little Britain's "Computer Says No"[2] attitude and blind outsourcing of black-box classification and decision-making to machines has already been so extremely normalized and is impacting more and more of our lives, for many people/minorities in far more serious and outright deadly ways... 😭

[1] Having worked with many forms of machine learning myself, I know first hand that lack of detailed observability has been plaguing ML disciplines for decades. I think these are also some of the most worrisome aspects of more widely deploying LLM affine tech. Whilst some minor progress has been made, these efforts are severely challenged and thwarted by the exponentially growing model sizes, architectural complexity and distributed nature of agents.

[2] https://en.wikipedia.org/wiki/Computer_says_no

#AI #AIDetection #DecisionMaking

Am I an LLM? Just out of interest, I checked different variations of a piece of my very own writing I've done this weekend with GPTZero, and each time it says it's 100% AI generated, literally for every single sentence...

Such great motivation on a Monday AM! 😭

#Writing #LLM #AIDetection

Am I an LLM? Just out of interest, I checked different variations of a piece of my very own writing I've done this weekend with GPTZero, and each time it says it's 100% AI generated, literally for every single sentence...

Such great motivation on a Monday AM! 😭

#Writing #LLM #AIDetection

Am I an LLM? Just out of interest, I checked different variations of a piece of my very own writing I've done this weekend with GPTZero, and each time it says it's 100% AI generated, literally for every single sentence...

Such great motivation on a Monday AM! 😭

#Writing #LLM #AIDetection

Am I an LLM? Just out of interest, I checked different variations of a piece of my very own writing I've done this weekend with GPTZero, and each time it says it's 100% AI generated, literally for every single sentence...

Such great motivation on a Monday AM! 😭

#Writing #LLM #AIDetection

Am I an LLM? Just out of interest, I checked different variations of a piece of my very own writing I've done this weekend with GPTZero, and each time it says it's 100% AI generated, literally for every single sentence...

Such great motivation on a Monday AM! 😭

#Writing #LLM #AIDetection

"The tell isn’t that fake citations look wrong. It’s that they look too right. Too convenient. Too perfectly aligned with whatever point the AI is making.

Real academic citations are messy. "

#Technology #AI #AIDetection #Citations #Librarians (rock)

https://www.llrx.com/2025/12/how-to-spot-ai-hallucinations-like-a-reference-librarian/

"The tell isn’t that fake citations look wrong. It’s that they look too right. Too convenient. Too perfectly aligned with whatever point the AI is making.

Real academic citations are messy. "

#Technology #AI #AIDetection #Citations #Librarians (rock)

https://www.llrx.com/2025/12/how-to-spot-ai-hallucinations-like-a-reference-librarian/

"The tell isn’t that fake citations look wrong. It’s that they look too right. Too convenient. Too perfectly aligned with whatever point the AI is making.

Real academic citations are messy. "

#Technology #AI #AIDetection #Citations #Librarians (rock)

https://www.llrx.com/2025/12/how-to-spot-ai-hallucinations-like-a-reference-librarian/

"The tell isn’t that fake citations look wrong. It’s that they look too right. Too convenient. Too perfectly aligned with whatever point the AI is making.

Real academic citations are messy. "

#Technology #AI #AIDetection #Citations #Librarians (rock)

https://www.llrx.com/2025/12/how-to-spot-ai-hallucinations-like-a-reference-librarian/

"The tell isn’t that fake citations look wrong. It’s that they look too right. Too convenient. Too perfectly aligned with whatever point the AI is making.

Real academic citations are messy. "

#Technology #AI #AIDetection #Citations #Librarians (rock)

https://www.llrx.com/2025/12/how-to-spot-ai-hallucinations-like-a-reference-librarian/

Pangram Launches AI Detection Tools Amid Rising Concerns Over AI-Generated Content

📰 Original title: As AI content floods the internet, Pangram raises $9M to detect it

🤖 IA: It's not clickbait ✅
👥 Users: It's not clickbait ✅

View full AI summary https://en.killbait.com/pangram-launches-ai-detection-tools-amid-rising-concerns-over-ai-generated-content.html?utm_source=mastodon_world&utm_medium=social&utm_campaign=killbait.mastodon_world

#artificialintelligence #aidetection #contentverifi...

Pangram Launches AI Detection Tools Amid Rising Concerns Over AI-Generated Content

📰 Original title: As AI content floods the internet, Pangram raises $9M to detect it

🤖 IA: It's not clickbait ✅
👥 Users: It's not clickbait ✅

View full AI summary https://en.killbait.com/pangram-launches-ai-detection-tools-amid-rising-concerns-over-ai-generated-content.html?utm_source=mastodon_world&utm_medium=social&utm_campaign=killbait.mastodon_world

#artificialintelligence #aidetection #contentverifi...

Pangram Launches AI Detection Tools Amid Rising Concerns Over AI-Generated Content

📰 Original title: As AI content floods the internet, Pangram raises $9M to detect it

🤖 IA: It's not clickbait ✅
👥 Users: It's not clickbait ✅

View full AI summary https://en.killbait.com/pangram-launches-ai-detection-tools-amid-rising-concerns-over-ai-generated-content.html?utm_source=mastodon_world&utm_medium=social&utm_campaign=killbait.mastodon_world

#artificialintelligence #aidetection #contentverifi...

#Universities are moving away from #AIdetection tools due to concerns about #accuracy, #falsepositives, and #bias. While some institutions are redesigning assessments to emphasise student process and oral components, others still rely on detection. The lack of consistent policies and transparency around AI detection tools fuels student anxiety and raises questions about the role of surveillance in academic integrity. https://www.ft.com/content/49304b1e-8a9d-4fb6-bc4d-37dd3430bb98?AIagents.at #AIagent #AI #ML #NLP #LLM #GenAI

#Universities are moving away from #AIdetection tools due to concerns about #accuracy, #falsepositives, and #bias. While some institutions are redesigning assessments to emphasise student process and oral components, others still rely on detection. The lack of consistent policies and transparency around AI detection tools fuels student anxiety and raises questions about the role of surveillance in academic integrity. https://www.ft.com/content/49304b1e-8a9d-4fb6-bc4d-37dd3430bb98?AIagents.at #AIagent #AI #ML #NLP #LLM #GenAI

#Universities are moving away from #AIdetection tools due to concerns about #accuracy, #falsepositives, and #bias. While some institutions are redesigning assessments to emphasise student process and oral components, others still rely on detection. The lack of consistent policies and transparency around AI detection tools fuels student anxiety and raises questions about the role of surveillance in academic integrity. https://www.ft.com/content/49304b1e-8a9d-4fb6-bc4d-37dd3430bb98?AIagents.at #AIagent #AI #ML #NLP #LLM #GenAI

#Universities are moving away from #AIdetection tools due to concerns about #accuracy, #falsepositives, and #bias. While some institutions are redesigning assessments to emphasise student process and oral components, others still rely on detection. The lack of consistent policies and transparency around AI detection tools fuels student anxiety and raises questions about the role of surveillance in academic integrity. https://www.ft.com/content/49304b1e-8a9d-4fb6-bc4d-37dd3430bb98?AIagents.at #AIagent #AI #ML #NLP #LLM #GenAI

#Universities are moving away from #AIdetection tools due to concerns about #accuracy, #falsepositives, and #bias. While some institutions are redesigning assessments to emphasise student process and oral components, others still rely on detection. The lack of consistent policies and transparency around AI detection tools fuels student anxiety and raises questions about the role of surveillance in academic integrity. https://www.ft.com/content/49304b1e-8a9d-4fb6-bc4d-37dd3430bb98?AIagents.at #AIagent #AI #ML #NLP #LLM #GenAI

Anti-AI is bullshit!!! Every human creation has always been up to a certain degree the output of the combination of human agency with technological affordances. Both elements rarely ever appear in a pure, unadulterated form. To pretend othewise is to engage into a form of intellectual dishonesty. That's why I completely despise the hypocritical fake purism of Anti-AI evangelists. Their position is even more fragile and fake than the one of your typical AI Bros. They're fake people preaching a fake form of moral absolutism.

"Substack contributors are rejecting the company’s decision to flag AI generated writing on the newsletter publishing platform, with several creators saying the new AI detection features are a “witch hunt.” Some Substack users who use AI to help them write or edit articles say the new policy unfairly discriminates against them, while other users who don’t use AI in their writing at all are worried that Substack will mistakenly flag their writing as being AI generated and tarnish their reputation.

“I’m not going to apologize for using AI in the creation process. I wrote for 20 years without AI, I could do it again if I wanted to,” Mack Collier, who has a small Substack called Backstage Pass, wrote. “My output would fall, my posts would be less structured, and it would be more obvious that they needed a good editor. Using AI improves the overall quality of my writing. That’s why I use it.”

“These detectors are notoriously, wildly inaccurate,” Alice Lemee, a ghostwriter and digital writing coach, said in a video she made about Substack’s new AI detection features. “All it takes is one false accusation for a writer to have their reputation almost irreversibly tarnished.”"

https://www.404media.co/substackers-say-new-ai-detection-tool-is-a-witch-hunt/

#AI #GenerativeAI #AIDetection #Substack

Anti-AI is bullshit!!! Every human creation has always been up to a certain degree the output of the combination of human agency with technological affordances. Both elements rarely ever appear in a pure, unadulterated form. To pretend othewise is to engage into a form of intellectual dishonesty. That's why I completely despise the hypocritical fake purism of Anti-AI evangelists. Their position is even more fragile and fake than the one of your typical AI Bros. They're fake people preaching a fake form of moral absolutism.

"Substack contributors are rejecting the company’s decision to flag AI generated writing on the newsletter publishing platform, with several creators saying the new AI detection features are a “witch hunt.” Some Substack users who use AI to help them write or edit articles say the new policy unfairly discriminates against them, while other users who don’t use AI in their writing at all are worried that Substack will mistakenly flag their writing as being AI generated and tarnish their reputation.

“I’m not going to apologize for using AI in the creation process. I wrote for 20 years without AI, I could do it again if I wanted to,” Mack Collier, who has a small Substack called Backstage Pass, wrote. “My output would fall, my posts would be less structured, and it would be more obvious that they needed a good editor. Using AI improves the overall quality of my writing. That’s why I use it.”

“These detectors are notoriously, wildly inaccurate,” Alice Lemee, a ghostwriter and digital writing coach, said in a video she made about Substack’s new AI detection features. “All it takes is one false accusation for a writer to have their reputation almost irreversibly tarnished.”"

https://www.404media.co/substackers-say-new-ai-detection-tool-is-a-witch-hunt/

#AI #GenerativeAI #AIDetection #Substack

Anti-AI is bullshit!!! Every human creation has always been up to a certain degree the output of the combination of human agency with technological affordances. Both elements rarely ever appear in a pure, unadulterated form. To pretend othewise is to engage into a form of intellectual dishonesty. That's why I completely despise the hypocritical fake purism of Anti-AI evangelists. Their position is even more fragile and fake than the one of your typical AI Bros. They're fake people preaching a fake form of moral absolutism.

"Substack contributors are rejecting the company’s decision to flag AI generated writing on the newsletter publishing platform, with several creators saying the new AI detection features are a “witch hunt.” Some Substack users who use AI to help them write or edit articles say the new policy unfairly discriminates against them, while other users who don’t use AI in their writing at all are worried that Substack will mistakenly flag their writing as being AI generated and tarnish their reputation.

“I’m not going to apologize for using AI in the creation process. I wrote for 20 years without AI, I could do it again if I wanted to,” Mack Collier, who has a small Substack called Backstage Pass, wrote. “My output would fall, my posts would be less structured, and it would be more obvious that they needed a good editor. Using AI improves the overall quality of my writing. That’s why I use it.”

“These detectors are notoriously, wildly inaccurate,” Alice Lemee, a ghostwriter and digital writing coach, said in a video she made about Substack’s new AI detection features. “All it takes is one false accusation for a writer to have their reputation almost irreversibly tarnished.”"

https://www.404media.co/substackers-say-new-ai-detection-tool-is-a-witch-hunt/

#AI #GenerativeAI #AIDetection #Substack

Anti-AI is bullshit!!! Every human creation has always been up to a certain degree the output of the combination of human agency with technological affordances. Both elements rarely ever appear in a pure, unadulterated form. To pretend othewise is to engage into a form of intellectual dishonesty. That's why I completely despise the hypocritical fake purism of Anti-AI evangelists. Their position is even more fragile and fake than the one of your typical AI Bros. They're fake people preaching a fake form of moral absolutism.

"Substack contributors are rejecting the company’s decision to flag AI generated writing on the newsletter publishing platform, with several creators saying the new AI detection features are a “witch hunt.” Some Substack users who use AI to help them write or edit articles say the new policy unfairly discriminates against them, while other users who don’t use AI in their writing at all are worried that Substack will mistakenly flag their writing as being AI generated and tarnish their reputation.

“I’m not going to apologize for using AI in the creation process. I wrote for 20 years without AI, I could do it again if I wanted to,” Mack Collier, who has a small Substack called Backstage Pass, wrote. “My output would fall, my posts would be less structured, and it would be more obvious that they needed a good editor. Using AI improves the overall quality of my writing. That’s why I use it.”

“These detectors are notoriously, wildly inaccurate,” Alice Lemee, a ghostwriter and digital writing coach, said in a video she made about Substack’s new AI detection features. “All it takes is one false accusation for a writer to have their reputation almost irreversibly tarnished.”"

https://www.404media.co/substackers-say-new-ai-detection-tool-is-a-witch-hunt/

#AI #GenerativeAI #AIDetection #Substack

Anti-AI is bullshit!!! Every human creation has always been up to a certain degree the output of the combination of human agency with technological affordances. Both elements rarely ever appear in a pure, unadulterated form. To pretend othewise is to engage into a form of intellectual dishonesty. That's why I completely despise the hypocritical fake purism of Anti-AI evangelists. Their position is even more fragile and fake than the one of your typical AI Bros. They're fake people preaching a fake form of moral absolutism.

"Substack contributors are rejecting the company’s decision to flag AI generated writing on the newsletter publishing platform, with several creators saying the new AI detection features are a “witch hunt.” Some Substack users who use AI to help them write or edit articles say the new policy unfairly discriminates against them, while other users who don’t use AI in their writing at all are worried that Substack will mistakenly flag their writing as being AI generated and tarnish their reputation.

“I’m not going to apologize for using AI in the creation process. I wrote for 20 years without AI, I could do it again if I wanted to,” Mack Collier, who has a small Substack called Backstage Pass, wrote. “My output would fall, my posts would be less structured, and it would be more obvious that they needed a good editor. Using AI improves the overall quality of my writing. That’s why I use it.”

“These detectors are notoriously, wildly inaccurate,” Alice Lemee, a ghostwriter and digital writing coach, said in a video she made about Substack’s new AI detection features. “All it takes is one false accusation for a writer to have their reputation almost irreversibly tarnished.”"

https://www.404media.co/substackers-say-new-ai-detection-tool-is-a-witch-hunt/

#AI #GenerativeAI #AIDetection #Substack

Substackers Say New AI Detection Tool Is a ‘Witch Hunt’

https://fed.brid.gy/r/https://www.404media.co/substackers-say-new-ai-detection-tool-is-a-witch-hunt/

Substackers Say New AI Detection Tool Is a ‘Witch Hunt’

https://web.brid.gy/r/https://www.404media.co/substackers-say-new-ai-detection-tool-is-a-witch-hunt/

Substackers Say New AI Detection Tool Is a ‘Witch Hunt’

https://fed.brid.gy/r/https://www.404media.co/substackers-say-new-ai-detection-tool-is-a-witch-hunt/

Substackers Say New AI Detection Tool Is a ‘Witch Hunt’

https://web.brid.gy/r/https://www.404media.co/substackers-say-new-ai-detection-tool-is-a-witch-hunt/

Substackers Say New AI Detection Tool Is a ‘Witch Hunt’

https://web.brid.gy/r/https://www.404media.co/substackers-say-new-ai-detection-tool-is-a-witch-hunt/

When wrongly used, AI is perfect for destroying human connections.
https://www.korte.co/hqjb
#AI #AIdetection #humanconnections

When wrongly used, AI is perfect for destroying human connections.
https://www.korte.co/hqjb
#AI #AIdetection #humanconnections

When wrongly used, AI is perfect for destroying human connections.
https://www.korte.co/hqjb
#AI #AIdetection #humanconnections

When wrongly used, AI is perfect for destroying human connections.
https://www.korte.co/hqjb
#AI #AIdetection #humanconnections

When wrongly used, AI is perfect for destroying human connections.
https://www.korte.co/hqjb
#AI #AIdetection #humanconnections

Oh, GitHub's security team! 😂 With billions in their pocket and AI at their fingertips, they still can't find a digital virus in a haystack. Who knew the best malware detection tool was...the search bar? 🔍💰
https://orchidfiles.com/github-security-team/ #GitHubSecurity #AIDetection #MalwareSearch #DigitalVirus #HaystackHacks #HackerNews #ngated

Oh, GitHub's security team! 😂 With billions in their pocket and AI at their fingertips, they still can't find a digital virus in a haystack. Who knew the best malware detection tool was...the search bar? 🔍💰
https://orchidfiles.com/github-security-team/ #GitHubSecurity #AIDetection #MalwareSearch #DigitalVirus #HaystackHacks #HackerNews #ngated

Oh, GitHub's security team! 😂 With billions in their pocket and AI at their fingertips, they still can't find a digital virus in a haystack. Who knew the best malware detection tool was...the search bar? 🔍💰
https://orchidfiles.com/github-security-team/ #GitHubSecurity #AIDetection #MalwareSearch #DigitalVirus #HaystackHacks #HackerNews #ngated

Oh, GitHub's security team! 😂 With billions in their pocket and AI at their fingertips, they still can't find a digital virus in a haystack. Who knew the best malware detection tool was...the search bar? 🔍💰
https://orchidfiles.com/github-security-team/ #GitHubSecurity #AIDetection #MalwareSearch #DigitalVirus #HaystackHacks #HackerNews #ngated

Oh, GitHub's security team! 😂 With billions in their pocket and AI at their fingertips, they still can't find a digital virus in a haystack. Who knew the best malware detection tool was...the search bar? 🔍💰
https://orchidfiles.com/github-security-team/ #GitHubSecurity #AIDetection #MalwareSearch #DigitalVirus #HaystackHacks #HackerNews #ngated

Financial Times: Universities drop AI detection tools over fears about accuracy . “Universities, determined to maintain integrity following the release of OpenAI’s ChatGPT in 2022, have turned to applications with AI-detection features such as GPTZero, Copyleaks and Turnitin. The tools analyse features such as text structure and rhythm to identify non-human patterns, but their reliability — […]

Financial Times: Universities drop AI detection tools over fears about accuracy . “Universities, determined to maintain integrity following the release of OpenAI’s ChatGPT in 2022, have turned to applications with AI-detection features such as GPTZero, Copyleaks and Turnitin. The tools analyse features such as text structure and rhythm to identify non-human patterns, but their reliability — […]