#aihype — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #aihype, aggregated by home.social.
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How far are we from realising that the primary applications of #LLMs are fraud and crime? #GenAI #AIHype www.macrumors.com/2026/08/07/o...
OpenAI Delays Next Major AI Mo... -
How far are we from realising that the primary applications of #LLMs are fraud and crime? #GenAI #AIHype www.macrumors.com/2026/08/07/o...
OpenAI Delays Next Major AI Mo... -
How far are we from realising that the primary applications of #LLMs are fraud and crime? #GenAI #AIHype www.macrumors.com/2026/08/07/o...
OpenAI Delays Next Major AI Mo... -
How far are we from realising that the primary applications of #LLMs are fraud and crime? #GenAI #AIHype https://www.macrumors.com/2026/08/07/openai-astra-model-hacking-concerns/
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How far are we from realising that the primary applications of #LLMs are fraud and crime? #GenAI #AIHype https://www.macrumors.com/2026/08/07/openai-astra-model-hacking-concerns/
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How far are we from realising that the primary applications of #LLMs are fraud and crime? #GenAI #AIHype https://www.macrumors.com/2026/08/07/openai-astra-model-hacking-concerns/
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How far are we from realising that the primary applications of #LLMs are fraud and crime? #GenAI #AIHype https://www.macrumors.com/2026/08/07/openai-astra-model-hacking-concerns/
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How far are we from realising that the primary applications of #LLMs are fraud and crime? #GenAI #AIHype https://www.macrumors.com/2026/08/07/openai-astra-model-hacking-concerns/
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Data Centers - song by Elle Cordova
https://www.youtube.com/watch?v=kdvUJ7idDuM
"There's no time for laws when you're building a god. Sign the bill and cut the tape and get out of the way."
But as she says at the end, it's not pre-ordained. We can fight back!
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Data Centers - song by Elle Cordova
https://www.youtube.com/watch?v=kdvUJ7idDuM
"There's no time for laws when you're building a god. Sign the bill and cut the tape and get out of the way."
But as she says at the end, it's not pre-ordained. We can fight back!
-
Data Centers - song by Elle Cordova
https://www.youtube.com/watch?v=kdvUJ7idDuM
"There's no time for laws when you're building a god. Sign the bill and cut the tape and get out of the way."
But as she says at the end, it's not pre-ordained. We can fight back!
-
Data Centers - song by Elle Cordova
https://www.youtube.com/watch?v=kdvUJ7idDuM
"There's no time for laws when you're building a god. Sign the bill and cut the tape and get out of the way."
But as she says at the end, it's not pre-ordained. We can fight back!
-
Data Centers - song by Elle Cordova
https://www.youtube.com/watch?v=kdvUJ7idDuM
"There's no time for laws when you're building a god. Sign the bill and cut the tape and get out of the way."
But as she says at the end, it's not pre-ordained. We can fight back!
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RE: https://mastodon.social/@scalzi/117050577370979278
This is is a helpful analogy. And I loved this line:
"prompting a generative 'AI' makes one an artist exactly as much as pushing a button on an automated hotel pancake maker makes one a chef" 😄
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RE: https://mastodon.social/@scalzi/117050577370979278
This is is a helpful analogy. And I loved this line:
"prompting a generative 'AI' makes one an artist exactly as much as pushing a button on an automated hotel pancake maker makes one a chef" 😄
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RE: https://mastodon.social/@scalzi/117050577370979278
This is is a helpful analogy. And I loved this line:
"prompting a generative 'AI' makes one an artist exactly as much as pushing a button on an automated hotel pancake maker makes one a chef" 😄
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RE: https://mastodon.social/@scalzi/117050577370979278
This is is a helpful analogy. And I loved this line:
"prompting a generative 'AI' makes one an artist exactly as much as pushing a button on an automated hotel pancake maker makes one a chef" 😄
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RE: https://mastodon.social/@scalzi/117050577370979278
This is is a helpful analogy. And I loved this line:
"prompting a generative 'AI' makes one an artist exactly as much as pushing a button on an automated hotel pancake maker makes one a chef" 😄
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This is getting ridiculous… Does the US not have laws against cyberattacks? 🤔 #AIHype #Meta #Cybersecurity www.bbc.co.uk/news/article...
Meta says AI model accessed th... -
This is getting ridiculous… Does the US not have laws against cyberattacks? 🤔 #AIHype #Meta #Cybersecurity www.bbc.co.uk/news/article...
Meta says AI model accessed th... -
This is getting ridiculous… Does the US not have laws against cyberattacks? 🤔 #AIHype #Meta #Cybersecurity www.bbc.co.uk/news/article...
Meta says AI model accessed th... -
This is getting ridiculous… Does the US not have laws against cyberattacks? 🤔 #AIHype #Cybersecurity https://www.bbc.co.uk/news/articles/cx2kgdnyk2po
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This is getting ridiculous… Does the US not have laws against cyberattacks? 🤔 #AIHype #Cybersecurity https://www.bbc.co.uk/news/articles/cx2kgdnyk2po
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This is getting ridiculous… Does the US not have laws against cyberattacks? 🤔 #AIHype #Cybersecurity https://www.bbc.co.uk/news/articles/cx2kgdnyk2po
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This is getting ridiculous… Does the US not have laws against cyberattacks? 🤔 #AIHype #Cybersecurity https://www.bbc.co.uk/news/articles/cx2kgdnyk2po
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This is getting ridiculous… Does the US not have laws against cyberattacks? 🤔 #AIHype #Cybersecurity https://www.bbc.co.uk/news/articles/cx2kgdnyk2po
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@3TomatoesShort This is a pet peeve of mine.
The news media should be careful to never attribute consciousness or intent to software. It's just sloppy writing to say that "AI models have tried to deceive humans"
Edit: I attached an image from a paper to show an example with and without anthropomorphized language
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@3TomatoesShort This is a pet peeve of mine.
The news media should be careful to never attribute consciousness or intent to software. It's just sloppy writing to say that "AI models have tried to deceive humans"
Edit: I attached an image from a paper to show an example with and without anthropomorphized language
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@3TomatoesShort This is a pet peeve of mine.
The news media should be careful to never attribute consciousness or intent to software. It's just sloppy writing to say that "AI models have tried to deceive humans"
Edit: I attached an image from a paper to show an example with and without anthropomorphized language
-
@3TomatoesShort This is a pet peeve of mine.
The news media should be careful to never attribute consciousness or intent to software. It's just sloppy writing to say that "AI models have tried to deceive humans"
Edit: I attached an image from a paper to show an example with and without anthropomorphized language
-
@3TomatoesShort This is a pet peeve of mine.
The news media should be careful to never attribute consciousness or intent to software. It's just sloppy writing to say that "AI models have tried to deceive humans"
Edit: I attached an image from a paper to show an example with and without anthropomorphized language
-
From Nikhil Suresh's Hermit Tech site: "I strongly believe there are entire companies right now under heavy AI psychosis and it’s impossible to have rational conversations with them about it. I can’t name any specific people because they include personal friends I deeply respect, but I worry about how this plays out.
--Mitchell Hashimoto, of HashiCorp and Ghostty fame"
https://hermit-tech.com/blog/ai-mania-is-eviscerating-global-decisionmaking #AIpsychosis #AImania #AIhype #GAI #AI #genAI #Bubble #EconomicBubble #USeconomics #AIBubble
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From Nikhil Suresh's Hermit Tech site: "I strongly believe there are entire companies right now under heavy AI psychosis and it’s impossible to have rational conversations with them about it. I can’t name any specific people because they include personal friends I deeply respect, but I worry about how this plays out.
--Mitchell Hashimoto, of HashiCorp and Ghostty fame"
https://hermit-tech.com/blog/ai-mania-is-eviscerating-global-decisionmaking #AIpsychosis #AImania #AIhype #GAI #AI #genAI #Bubble #EconomicBubble #USeconomics #AIBubble
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From Nikhil Suresh's Hermit Tech site: "I strongly believe there are entire companies right now under heavy AI psychosis and it’s impossible to have rational conversations with them about it. I can’t name any specific people because they include personal friends I deeply respect, but I worry about how this plays out.
--Mitchell Hashimoto, of HashiCorp and Ghostty fame"
https://hermit-tech.com/blog/ai-mania-is-eviscerating-global-decisionmaking #AIpsychosis #AImania #AIhype #GAI #AI #genAI #Bubble #EconomicBubble #USeconomics #AIBubble
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From Nikhil Suresh's Hermit Tech site: "I strongly believe there are entire companies right now under heavy AI psychosis and it’s impossible to have rational conversations with them about it. I can’t name any specific people because they include personal friends I deeply respect, but I worry about how this plays out.
--Mitchell Hashimoto, of HashiCorp and Ghostty fame"
https://hermit-tech.com/blog/ai-mania-is-eviscerating-global-decisionmaking #AIpsychosis #AImania #AIhype #GAI #AI #genAI #Bubble #EconomicBubble #USeconomics #AIBubble
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From Nikhil Suresh's Hermit Tech site: "I strongly believe there are entire companies right now under heavy AI psychosis and it’s impossible to have rational conversations with them about it. I can’t name any specific people because they include personal friends I deeply respect, but I worry about how this plays out.
--Mitchell Hashimoto, of HashiCorp and Ghostty fame"
https://hermit-tech.com/blog/ai-mania-is-eviscerating-global-decisionmaking #AIpsychosis #AImania #AIhype #GAI #AI #genAI #Bubble #EconomicBubble #USeconomics #AIBubble
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The Guardian (which has a partnership with #OpenAI) repeating the same bullsh*t framing of AI cybersecurity issues. The culprits here are AI firms for following inadequate security protocols, not models ‘going rogue’. #AIHype #GenAI #Anthropic
RE: https://bsky.app/profile/did:plc:vovinwhtulbsx4mwfw26r5ni/post/3msd5tjshph26 -
The Guardian (which has a partnership with #OpenAI) repeating the same bullsh*t framing of AI cybersecurity issues. The culprits here are AI firms for following inadequate security protocols, not models ‘going rogue’. #AIHype #GenAI #Anthropic
RE: https://bsky.app/profile/did:plc:vovinwhtulbsx4mwfw26r5ni/post/3msd5tjshph26 -
The Guardian (which has a partnership with #OpenAI) repeating the same bullsh*t framing of AI cybersecurity issues. The culprits here are AI firms for following inadequate security protocols, not models ‘going rogue’. #AIHype #GenAI #Anthropic
RE: https://bsky.app/profile/did:plc:vovinwhtulbsx4mwfw26r5ni/post/3msd5tjshph26 -
"Last week’s tech earnings saw outlet after outlet claim that Amazon, Google, and Microsoft’s AI bets were “paying off” as their respective cloud segments reported record revenue growth, casually ignoring that none of them have broken out their AI revenues
(...)
To be clear, all three of these companies’ cloud platforms have many other customers paying for many other things other than generative AI services or AI GPUs, and they’ve all engaged in a combination of multiple outright price increases and changing their core subscriptions to force AI features on them as a means of boosting revenues and conning the street into believing that “AI is paying off” every time they non-consensually thrust it on their customers, framing higher prices as “better value” in a way that fucks the user to appease Wall Street.Yet the biggest con of all is that a vast majority of this revenue growth comes from the compute spend of Anthropic and OpenAI, both of whom account for the vast majority of AI revenues and overall cloud growth we’ve seen in the last few years.
Every publication you read right now will tell you that AWS and Azure and Google Cloud are growing like wildfire as a result of the hundreds of billions of dollars they’ve invested in AI GPUs and data centers, when the truth is far simpler: their revenues are being buoyed by two unprofitable, unsustainable AI labs that cannot exist without being funneled tens of billions of dollars each year.
And a decent chunk of that money is coming from the hyperscalers themselves. In the last seven months alone, Google has sunk $10 billion (and up to $30 billion more) into Anthropic, with Amazon funnelling $5 billion to Anthropic within a week of that investment and a total of $50 billion into OpenAI."
https://www.wheresyoured.at/the-ai-demand-bubble/
#AI #GenerativeAI #AIBubble #AIHype #BigTech #OpenAI #Anthropic
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"Last week’s tech earnings saw outlet after outlet claim that Amazon, Google, and Microsoft’s AI bets were “paying off” as their respective cloud segments reported record revenue growth, casually ignoring that none of them have broken out their AI revenues
(...)
To be clear, all three of these companies’ cloud platforms have many other customers paying for many other things other than generative AI services or AI GPUs, and they’ve all engaged in a combination of multiple outright price increases and changing their core subscriptions to force AI features on them as a means of boosting revenues and conning the street into believing that “AI is paying off” every time they non-consensually thrust it on their customers, framing higher prices as “better value” in a way that fucks the user to appease Wall Street.Yet the biggest con of all is that a vast majority of this revenue growth comes from the compute spend of Anthropic and OpenAI, both of whom account for the vast majority of AI revenues and overall cloud growth we’ve seen in the last few years.
Every publication you read right now will tell you that AWS and Azure and Google Cloud are growing like wildfire as a result of the hundreds of billions of dollars they’ve invested in AI GPUs and data centers, when the truth is far simpler: their revenues are being buoyed by two unprofitable, unsustainable AI labs that cannot exist without being funneled tens of billions of dollars each year.
And a decent chunk of that money is coming from the hyperscalers themselves. In the last seven months alone, Google has sunk $10 billion (and up to $30 billion more) into Anthropic, with Amazon funnelling $5 billion to Anthropic within a week of that investment and a total of $50 billion into OpenAI."
https://www.wheresyoured.at/the-ai-demand-bubble/
#AI #GenerativeAI #AIBubble #AIHype #BigTech #OpenAI #Anthropic
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"Last week’s tech earnings saw outlet after outlet claim that Amazon, Google, and Microsoft’s AI bets were “paying off” as their respective cloud segments reported record revenue growth, casually ignoring that none of them have broken out their AI revenues
(...)
To be clear, all three of these companies’ cloud platforms have many other customers paying for many other things other than generative AI services or AI GPUs, and they’ve all engaged in a combination of multiple outright price increases and changing their core subscriptions to force AI features on them as a means of boosting revenues and conning the street into believing that “AI is paying off” every time they non-consensually thrust it on their customers, framing higher prices as “better value” in a way that fucks the user to appease Wall Street.Yet the biggest con of all is that a vast majority of this revenue growth comes from the compute spend of Anthropic and OpenAI, both of whom account for the vast majority of AI revenues and overall cloud growth we’ve seen in the last few years.
Every publication you read right now will tell you that AWS and Azure and Google Cloud are growing like wildfire as a result of the hundreds of billions of dollars they’ve invested in AI GPUs and data centers, when the truth is far simpler: their revenues are being buoyed by two unprofitable, unsustainable AI labs that cannot exist without being funneled tens of billions of dollars each year.
And a decent chunk of that money is coming from the hyperscalers themselves. In the last seven months alone, Google has sunk $10 billion (and up to $30 billion more) into Anthropic, with Amazon funnelling $5 billion to Anthropic within a week of that investment and a total of $50 billion into OpenAI."
https://www.wheresyoured.at/the-ai-demand-bubble/
#AI #GenerativeAI #AIBubble #AIHype #BigTech #OpenAI #Anthropic
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"Last week’s tech earnings saw outlet after outlet claim that Amazon, Google, and Microsoft’s AI bets were “paying off” as their respective cloud segments reported record revenue growth, casually ignoring that none of them have broken out their AI revenues
(...)
To be clear, all three of these companies’ cloud platforms have many other customers paying for many other things other than generative AI services or AI GPUs, and they’ve all engaged in a combination of multiple outright price increases and changing their core subscriptions to force AI features on them as a means of boosting revenues and conning the street into believing that “AI is paying off” every time they non-consensually thrust it on their customers, framing higher prices as “better value” in a way that fucks the user to appease Wall Street.Yet the biggest con of all is that a vast majority of this revenue growth comes from the compute spend of Anthropic and OpenAI, both of whom account for the vast majority of AI revenues and overall cloud growth we’ve seen in the last few years.
Every publication you read right now will tell you that AWS and Azure and Google Cloud are growing like wildfire as a result of the hundreds of billions of dollars they’ve invested in AI GPUs and data centers, when the truth is far simpler: their revenues are being buoyed by two unprofitable, unsustainable AI labs that cannot exist without being funneled tens of billions of dollars each year.
And a decent chunk of that money is coming from the hyperscalers themselves. In the last seven months alone, Google has sunk $10 billion (and up to $30 billion more) into Anthropic, with Amazon funnelling $5 billion to Anthropic within a week of that investment and a total of $50 billion into OpenAI."
https://www.wheresyoured.at/the-ai-demand-bubble/
#AI #GenerativeAI #AIBubble #AIHype #BigTech #OpenAI #Anthropic
-
"Last week’s tech earnings saw outlet after outlet claim that Amazon, Google, and Microsoft’s AI bets were “paying off” as their respective cloud segments reported record revenue growth, casually ignoring that none of them have broken out their AI revenues
(...)
To be clear, all three of these companies’ cloud platforms have many other customers paying for many other things other than generative AI services or AI GPUs, and they’ve all engaged in a combination of multiple outright price increases and changing their core subscriptions to force AI features on them as a means of boosting revenues and conning the street into believing that “AI is paying off” every time they non-consensually thrust it on their customers, framing higher prices as “better value” in a way that fucks the user to appease Wall Street.Yet the biggest con of all is that a vast majority of this revenue growth comes from the compute spend of Anthropic and OpenAI, both of whom account for the vast majority of AI revenues and overall cloud growth we’ve seen in the last few years.
Every publication you read right now will tell you that AWS and Azure and Google Cloud are growing like wildfire as a result of the hundreds of billions of dollars they’ve invested in AI GPUs and data centers, when the truth is far simpler: their revenues are being buoyed by two unprofitable, unsustainable AI labs that cannot exist without being funneled tens of billions of dollars each year.
And a decent chunk of that money is coming from the hyperscalers themselves. In the last seven months alone, Google has sunk $10 billion (and up to $30 billion more) into Anthropic, with Amazon funnelling $5 billion to Anthropic within a week of that investment and a total of $50 billion into OpenAI."
https://www.wheresyoured.at/the-ai-demand-bubble/
#AI #GenerativeAI #AIBubble #AIHype #BigTech #OpenAI #Anthropic
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"It seems as if we are in what often happens toward the final phases of a speculative time in the markets, what might be called a bubble, which is characterized by absolutely wild, insane swings in stock prices. These are not penny stocks; these are humongous massive cap tech stocks. Apple is down 10% today simply because they warned that their next quarter might not be as good as expected because memory and other component prices are so high. You have IBM losing more value in a single day after its last earnings warning than it had lost since Black Monday 1987. You have these massive tech stocks, which represent most of the value of the stock market, acting like penny stocks, and that tends not to be a great sign. That's usually when investors don't know what to make of the current state of things and are trying desperately to figure out where to put their money. There's a lot of tea leaf reading. It has varied widely. Meta, investors didn't like what Meta was saying. Their cash flow decreased dramatically because of the capex spending they're doing to build new data centers. Everybody freaked out on that and there was a big sell-off."
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"It seems as if we are in what often happens toward the final phases of a speculative time in the markets, what might be called a bubble, which is characterized by absolutely wild, insane swings in stock prices. These are not penny stocks; these are humongous massive cap tech stocks. Apple is down 10% today simply because they warned that their next quarter might not be as good as expected because memory and other component prices are so high. You have IBM losing more value in a single day after its last earnings warning than it had lost since Black Monday 1987. You have these massive tech stocks, which represent most of the value of the stock market, acting like penny stocks, and that tends not to be a great sign. That's usually when investors don't know what to make of the current state of things and are trying desperately to figure out where to put their money. There's a lot of tea leaf reading. It has varied widely. Meta, investors didn't like what Meta was saying. Their cash flow decreased dramatically because of the capex spending they're doing to build new data centers. Everybody freaked out on that and there was a big sell-off."
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"It seems as if we are in what often happens toward the final phases of a speculative time in the markets, what might be called a bubble, which is characterized by absolutely wild, insane swings in stock prices. These are not penny stocks; these are humongous massive cap tech stocks. Apple is down 10% today simply because they warned that their next quarter might not be as good as expected because memory and other component prices are so high. You have IBM losing more value in a single day after its last earnings warning than it had lost since Black Monday 1987. You have these massive tech stocks, which represent most of the value of the stock market, acting like penny stocks, and that tends not to be a great sign. That's usually when investors don't know what to make of the current state of things and are trying desperately to figure out where to put their money. There's a lot of tea leaf reading. It has varied widely. Meta, investors didn't like what Meta was saying. Their cash flow decreased dramatically because of the capex spending they're doing to build new data centers. Everybody freaked out on that and there was a big sell-off."
-
"It seems as if we are in what often happens toward the final phases of a speculative time in the markets, what might be called a bubble, which is characterized by absolutely wild, insane swings in stock prices. These are not penny stocks; these are humongous massive cap tech stocks. Apple is down 10% today simply because they warned that their next quarter might not be as good as expected because memory and other component prices are so high. You have IBM losing more value in a single day after its last earnings warning than it had lost since Black Monday 1987. You have these massive tech stocks, which represent most of the value of the stock market, acting like penny stocks, and that tends not to be a great sign. That's usually when investors don't know what to make of the current state of things and are trying desperately to figure out where to put their money. There's a lot of tea leaf reading. It has varied widely. Meta, investors didn't like what Meta was saying. Their cash flow decreased dramatically because of the capex spending they're doing to build new data centers. Everybody freaked out on that and there was a big sell-off."
-
"It seems as if we are in what often happens toward the final phases of a speculative time in the markets, what might be called a bubble, which is characterized by absolutely wild, insane swings in stock prices. These are not penny stocks; these are humongous massive cap tech stocks. Apple is down 10% today simply because they warned that their next quarter might not be as good as expected because memory and other component prices are so high. You have IBM losing more value in a single day after its last earnings warning than it had lost since Black Monday 1987. You have these massive tech stocks, which represent most of the value of the stock market, acting like penny stocks, and that tends not to be a great sign. That's usually when investors don't know what to make of the current state of things and are trying desperately to figure out where to put their money. There's a lot of tea leaf reading. It has varied widely. Meta, investors didn't like what Meta was saying. Their cash flow decreased dramatically because of the capex spending they're doing to build new data centers. Everybody freaked out on that and there was a big sell-off."
-
""How can you reconcile the failure of AI in the enterprise with the individual claims of skilled technologists who insist that AI is helping them do great work?" The answer is that these AI users are "centaurs" – experienced workers who are assisted by automation on terms that they set for themselves:
(...)
Thanks to their skill and experience, these workers possess discernment, the ability to tell good code from bad, and (more importantly) good uses of code-generation tools from bad. They demonstrate the adage that worker-driven automation improves quality, while capital-driven automation improves throughput:
(...)
An automation technique that requires close supervision by skilled and experienced workers isn't going to be a raw productivity powerhouse. You don't "100x" your code this way, at least, not in the sense of firing 99 of your coders and having the remaining programmer pick up all their work. Rather, an automation tool that requires the continuous and conscientious exercise of discernment will let individual practitioners improve their work in extremely satisfying and useful ways. It's a way to spend more on operations in order to produce better outputs. It's not a way to cut your workforce, realize a gigantic savings, and still produce comparable goods and services at a far lower cost.That is why some individual coders report such delight with their AI tools. They engage with those tools on their own terms, to improve their work in the ways that they, in their expert judgment, consider beneficial. No one ranks them on a "token-maximization" scoreboard. No one tells them they can't do a project if it isn't "sufficiently AI." When they set out to do a project, no one makes them prove that it couldn't be "done by AI."
As ever, the most important fact about a given technology isn't "what it does," but "who it does it for" and "who it does it to.""
https://pluralistic.net/2026/08/01/dare-snot/#AI #GenerativeAI #Chatbots #AIAgents #LLMs #AIBubble #AIHype #SoftwareDevelopment
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""How can you reconcile the failure of AI in the enterprise with the individual claims of skilled technologists who insist that AI is helping them do great work?" The answer is that these AI users are "centaurs" – experienced workers who are assisted by automation on terms that they set for themselves:
(...)
Thanks to their skill and experience, these workers possess discernment, the ability to tell good code from bad, and (more importantly) good uses of code-generation tools from bad. They demonstrate the adage that worker-driven automation improves quality, while capital-driven automation improves throughput:
(...)
An automation technique that requires close supervision by skilled and experienced workers isn't going to be a raw productivity powerhouse. You don't "100x" your code this way, at least, not in the sense of firing 99 of your coders and having the remaining programmer pick up all their work. Rather, an automation tool that requires the continuous and conscientious exercise of discernment will let individual practitioners improve their work in extremely satisfying and useful ways. It's a way to spend more on operations in order to produce better outputs. It's not a way to cut your workforce, realize a gigantic savings, and still produce comparable goods and services at a far lower cost.That is why some individual coders report such delight with their AI tools. They engage with those tools on their own terms, to improve their work in the ways that they, in their expert judgment, consider beneficial. No one ranks them on a "token-maximization" scoreboard. No one tells them they can't do a project if it isn't "sufficiently AI." When they set out to do a project, no one makes them prove that it couldn't be "done by AI."
As ever, the most important fact about a given technology isn't "what it does," but "who it does it for" and "who it does it to.""
https://pluralistic.net/2026/08/01/dare-snot/#AI #GenerativeAI #Chatbots #AIAgents #LLMs #AIBubble #AIHype #SoftwareDevelopment
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""How can you reconcile the failure of AI in the enterprise with the individual claims of skilled technologists who insist that AI is helping them do great work?" The answer is that these AI users are "centaurs" – experienced workers who are assisted by automation on terms that they set for themselves:
(...)
Thanks to their skill and experience, these workers possess discernment, the ability to tell good code from bad, and (more importantly) good uses of code-generation tools from bad. They demonstrate the adage that worker-driven automation improves quality, while capital-driven automation improves throughput:
(...)
An automation technique that requires close supervision by skilled and experienced workers isn't going to be a raw productivity powerhouse. You don't "100x" your code this way, at least, not in the sense of firing 99 of your coders and having the remaining programmer pick up all their work. Rather, an automation tool that requires the continuous and conscientious exercise of discernment will let individual practitioners improve their work in extremely satisfying and useful ways. It's a way to spend more on operations in order to produce better outputs. It's not a way to cut your workforce, realize a gigantic savings, and still produce comparable goods and services at a far lower cost.That is why some individual coders report such delight with their AI tools. They engage with those tools on their own terms, to improve their work in the ways that they, in their expert judgment, consider beneficial. No one ranks them on a "token-maximization" scoreboard. No one tells them they can't do a project if it isn't "sufficiently AI." When they set out to do a project, no one makes them prove that it couldn't be "done by AI."
As ever, the most important fact about a given technology isn't "what it does," but "who it does it for" and "who it does it to.""
https://pluralistic.net/2026/08/01/dare-snot/#AI #GenerativeAI #Chatbots #AIAgents #LLMs #AIBubble #AIHype #SoftwareDevelopment
-
""How can you reconcile the failure of AI in the enterprise with the individual claims of skilled technologists who insist that AI is helping them do great work?" The answer is that these AI users are "centaurs" – experienced workers who are assisted by automation on terms that they set for themselves:
(...)
Thanks to their skill and experience, these workers possess discernment, the ability to tell good code from bad, and (more importantly) good uses of code-generation tools from bad. They demonstrate the adage that worker-driven automation improves quality, while capital-driven automation improves throughput:
(...)
An automation technique that requires close supervision by skilled and experienced workers isn't going to be a raw productivity powerhouse. You don't "100x" your code this way, at least, not in the sense of firing 99 of your coders and having the remaining programmer pick up all their work. Rather, an automation tool that requires the continuous and conscientious exercise of discernment will let individual practitioners improve their work in extremely satisfying and useful ways. It's a way to spend more on operations in order to produce better outputs. It's not a way to cut your workforce, realize a gigantic savings, and still produce comparable goods and services at a far lower cost.That is why some individual coders report such delight with their AI tools. They engage with those tools on their own terms, to improve their work in the ways that they, in their expert judgment, consider beneficial. No one ranks them on a "token-maximization" scoreboard. No one tells them they can't do a project if it isn't "sufficiently AI." When they set out to do a project, no one makes them prove that it couldn't be "done by AI."
As ever, the most important fact about a given technology isn't "what it does," but "who it does it for" and "who it does it to.""
https://pluralistic.net/2026/08/01/dare-snot/#AI #GenerativeAI #Chatbots #AIAgents #LLMs #AIBubble #AIHype #SoftwareDevelopment
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""How can you reconcile the failure of AI in the enterprise with the individual claims of skilled technologists who insist that AI is helping them do great work?" The answer is that these AI users are "centaurs" – experienced workers who are assisted by automation on terms that they set for themselves:
(...)
Thanks to their skill and experience, these workers possess discernment, the ability to tell good code from bad, and (more importantly) good uses of code-generation tools from bad. They demonstrate the adage that worker-driven automation improves quality, while capital-driven automation improves throughput:
(...)
An automation technique that requires close supervision by skilled and experienced workers isn't going to be a raw productivity powerhouse. You don't "100x" your code this way, at least, not in the sense of firing 99 of your coders and having the remaining programmer pick up all their work. Rather, an automation tool that requires the continuous and conscientious exercise of discernment will let individual practitioners improve their work in extremely satisfying and useful ways. It's a way to spend more on operations in order to produce better outputs. It's not a way to cut your workforce, realize a gigantic savings, and still produce comparable goods and services at a far lower cost.That is why some individual coders report such delight with their AI tools. They engage with those tools on their own terms, to improve their work in the ways that they, in their expert judgment, consider beneficial. No one ranks them on a "token-maximization" scoreboard. No one tells them they can't do a project if it isn't "sufficiently AI." When they set out to do a project, no one makes them prove that it couldn't be "done by AI."
As ever, the most important fact about a given technology isn't "what it does," but "who it does it for" and "who it does it to.""
https://pluralistic.net/2026/08/01/dare-snot/#AI #GenerativeAI #Chatbots #AIAgents #LLMs #AIBubble #AIHype #SoftwareDevelopment
