#llms — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #llms, aggregated by home.social.
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As the saying goes, everything is a remix. There is no such thing as an original thought. Sorry to be the bearer of bad news for those who feel this – or a form of creativity – is what separates humans from LLMs, from stochastic parrots.
👉 https://iai.tv/video/memes-minds-and-the-myth-of-control
👉https://www.youtube.com/shorts/NLBQOJmJ3K8
#philosophy #selfhood #creativity #video #blog #identity #originality #humanity #exceptionalism #hubris #strawson #althusser #wilde #quote #ai #llms #intelligence #cognition
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As the saying goes, everything is a remix. There is no such thing as an original thought. Sorry to be the bearer of bad news for those who feel this – or a form of creativity – is what separates humans from LLMs, from stochastic parrots.
👉 https://iai.tv/video/memes-minds-and-the-myth-of-control
👉https://www.youtube.com/shorts/NLBQOJmJ3K8
#philosophy #selfhood #creativity #video #blog #identity #originality #humanity #exceptionalism #hubris #strawson #althusser #wilde #quote #ai #llms #intelligence #cognition
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I am listening to a podcast called Polytechs (politechs.dev) where the hosts interview Dr E. Bender (Computational Linguistics academic, podcaster and author) to talk about Rhetorical technology (all things #AI in this podcast) and besides the reasoned discussion about #GenAISlop and #LLMs in general, which I found most interesting, I was astounded by the amount of research that is available on AI, #GenAI and artificial general intelligence ( #AGI) wondering how is it that none of this material makes the light of day in our public forum discussion or any #NewsOutlets whatsoever. Made me realize how manipulated we all are to think that #GenAI — or as Dr Bender calls Text Extruding machines — is a revolutionary technology that will answer all of our questions.
Dr Bender also talks about the #Racism and #Eugenics that lies behind the historic antecedents of GenAI and the #TechBros push to sell it to us. The discussion also looked at the idea that GenAI #Hallucinates and proposed other words to better reflect what these machines actually produce (Hint: they certainly do not hallucinate).
I was also very receptive to Dr Bender’s #Definition of AI, she says that it is simply a #MarketingTerm and has nothing to do with #Intelligence (artificial or otherwise). I view #ChatGPT and the likes as stochastic word and part-word ordering machines using statistical engines to parsing large uncurated document repositories in a non-deterministic way.
Well worth a listen:
https://politechs.dev/episodes/s02-rhet-tech/#DrEmilyBender #Polytechs #Linguistics #ComputationalLinguistics
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I am listening to a podcast called Polytechs (politechs.dev) where the hosts interview Dr E. Bender (Computational Linguistics academic, podcaster and author) to talk about Rhetorical technology (all things #AI in this podcast) and besides the reasoned discussion about #GenAISlop and #LLMs in general, which I found most interesting, I was astounded by the amount of research that is available on AI, #GenAI and artificial general intelligence ( #AGI) wondering how is it that none of this material makes the light of day in our public forum discussion or any #NewsOutlets whatsoever. Made me realize how manipulated we all are to think that #GenAI — or as Dr Bender calls Text Extruding machines — is a revolutionary technology that will answer all of our questions.
Dr Bender also talks about the #Racism and #Eugenics that lies behind the historic antecedents of GenAI and the #TechBros push to sell it to us. The discussion also looked at the idea that GenAI #Hallucinates and proposed other words to better reflect what these machines actually produce (Hint: they certainly do not hallucinate).
I was also very receptive to Dr Bender’s #Definition of AI, she says that it is simply a #MarketingTerm and has nothing to do with #Intelligence (artificial or otherwise). I view #ChatGPT and the likes as stochastic word and part-word ordering machines using statistical engines to parsing large uncurated document repositories in a non-deterministic way.
Well worth a listen:
https://politechs.dev/episodes/s02-rhet-tech/#DrEmilyBender #Polytechs #Linguistics #ComputationalLinguistics
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I am listening to a podcast called Polytechs (politechs.dev) where the hosts interview Dr E. Bender (Computational Linguistics academic, podcaster and author) to talk about Rhetorical technology (all things #AI in this podcast) and besides the reasoned discussion about #GenAISlop and #LLMs in general, which I found most interesting, I was astounded by the amount of research that is available on AI, #GenAI and artificial general intelligence ( #AGI) wondering how is it that none of this material makes the light of day in our public forum discussion or any #NewsOutlets whatsoever. Made me realize how manipulated we all are to think that #GenAI — or as Dr Bender calls Text Extruding machines — is a revolutionary technology that will answer all of our questions.
Dr Bender also talks about the #Racism and #Eugenics that lies behind the historic antecedents of GenAI and the #TechBros push to sell it to us. The discussion also looked at the idea that GenAI #Hallucinates and proposed other words to better reflect what these machines actually produce (Hint: they certainly do not hallucinate).
I was also very receptive to Dr Bender’s #Definition of AI, she says that it is simply a #MarketingTerm and has nothing to do with #Intelligence (artificial or otherwise). I view #ChatGPT and the likes as stochastic word and part-word ordering machines using statistical engines to parsing large uncurated document repositories in a non-deterministic way.
Well worth a listen:
https://politechs.dev/episodes/s02-rhet-tech/#DrEmilyBender #Polytechs #Linguistics #ComputationalLinguistics
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I am listening to a podcast called Polytechs (politechs.dev) where the hosts interview Dr E. Bender (Computational Linguistics academic, podcaster and author) to talk about Rhetorical technology (all things #AI in this podcast) and besides the reasoned discussion about #GenAISlop and #LLMs in general, which I found most interesting, I was astounded by the amount of research that is available on AI, #GenAI and artificial general intelligence ( #AGI) wondering how is it that none of this material makes the light of day in our public forum discussion or any #NewsOutlets whatsoever. Made me realize how manipulated we all are to think that #GenAI — or as Dr Bender calls Text Extruding machines — is a revolutionary technology that will answer all of our questions.
Dr Bender also talks about the #Racism and #Eugenics that lies behind the historic antecedents of GenAI and the #TechBros push to sell it to us. The discussion also looked at the idea that GenAI #Hallucinates and proposed other words to better reflect what these machines actually produce (Hint: they certainly do not hallucinate).
I was also very receptive to Dr Bender’s #Definition of AI, she says that it is simply a #MarketingTerm and has nothing to do with #Intelligence (artificial or otherwise). I view #ChatGPT and the likes as stochastic word and part-word ordering machines using statistical engines to parsing large uncurated document repositories in a non-deterministic way.
Well worth a listen:
https://politechs.dev/episodes/s02-rhet-tech/#DrEmilyBender #Polytechs #Linguistics #ComputationalLinguistics
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I am listening to a podcast called Polytechs (politechs.dev) where the hosts interview Dr E. Bender (Computational Linguistics academic, podcaster and author) to talk about Rhetorical technology (all things #AI in this podcast) and besides the reasoned discussion about #GenAISlop and #LLMs in general, which I found most interesting, I was astounded by the amount of research that is available on AI, #GenAI and artificial general intelligence ( #AGI) wondering how is it that none of this material makes the light of day in our public forum discussion or any #NewsOutlets whatsoever. Made me realize how manipulated we all are to think that #GenAI — or as Dr Bender calls Text Extruding machines — is a revolutionary technology that will answer all of our questions.
Dr Bender also talks about the #Racism and #Eugenics that lies behind the historic antecedents of GenAI and the #TechBros push to sell it to us. The discussion also looked at the idea that GenAI #Hallucinates and proposed other words to better reflect what these machines actually produce (Hint: they certainly do not hallucinate).
I was also very receptive to Dr Bender’s #Definition of AI, she says that it is simply a #MarketingTerm and has nothing to do with #Intelligence (artificial or otherwise). I view #ChatGPT and the likes as stochastic word and part-word ordering machines using statistical engines to parsing large uncurated document repositories in a non-deterministic way.
Well worth a listen:
https://politechs.dev/episodes/s02-rhet-tech/#DrEmilyBender #Polytechs #Linguistics #ComputationalLinguistics
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Why Google’s Gemini 3.5 Pro Is Facing Delays: Inside the AI Giant’s Biggest Challenge Yet—and Why OpenAI and Anthropic Are Pulling Ahead in the Agentic Coding Race
#AI #AIModel #AINews #Tech #TechNews #LLMs #AIRace #Gemini #GoogleAI #AgenticCoding #AIDevelopment
maniainc.com/technology/w...
Why Google’s Gemini 3.5 ... -
Why Google’s Gemini 3.5 Pro Is Facing Delays: Inside the AI Giant’s Biggest Challenge Yet—and Why OpenAI and Anthropic Are Pulling Ahead in the Agentic Coding Race
#AI #AIModel #AINews #Tech #TechNews #LLMs #AIRace #Gemini #GoogleAI #AgenticCoding #AIDevelopment
maniainc.com/technology/w...
Why Google’s Gemini 3.5 ... -
Alibaba claims its Qwen3.8 model ranks second only to Claude Fable 5, but published no benchmark scores to support the assertion. The previous Qwen flagship included full benchmark tables. What changed in the messaging strategy? https://www.implicator.ai/alibaba-claims-qwen3-8-is-second-only-to-fable-5/ #AIModels #Benchmarking #LLMs
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Alibaba claims its Qwen3.8 model ranks second only to Claude Fable 5, but published no benchmark scores to support the assertion. The previous Qwen flagship included full benchmark tables. What changed in the messaging strategy? https://www.implicator.ai/alibaba-claims-qwen3-8-is-second-only-to-fable-5/ #AIModels #Benchmarking #LLMs
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Alibaba claims its Qwen3.8 model ranks second only to Claude Fable 5, but published no benchmark scores to support the assertion. The previous Qwen flagship included full benchmark tables. What changed in the messaging strategy? https://www.implicator.ai/alibaba-claims-qwen3-8-is-second-only-to-fable-5/ #AIModels #Benchmarking #LLMs
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RE: https://mastodon.online/@shaedrich/116946225552005037
"The problem with code before #AI was that people got too (emotionally) attached."
The actual problem with code without attachment:
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RE: https://mastodon.online/@shaedrich/116946225552005037
"The problem with code before #AI was that people got too (emotionally) attached."
The actual problem with code without attachment:
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With all the #AIDeskilling and #enshittification, people (and junior software engineers, sorry, "junior vibe coders") will be asking this in ten years.
And the last true software engineers who can still write code on their own will weep, because nobody remembers them and everyone takes slop for granted.
#AI #deskilling #LLMs #artificialIntelligence #noAI #vibeCoding #genAI #generativeAI #platformDecay #ensh11n
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With all the #AIDeskilling and #enshittification, people (and junior software engineers, sorry, "junior vibe coders") will be asking this in ten years.
And the last true software engineers who can still write code on their own will weep, because nobody remembers them and everyone takes slop for granted.
#AI #deskilling #LLMs #artificialIntelligence #noAI #vibeCoding #genAI #generativeAI #platformDecay #ensh11n
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I don't doubt this is true for must companies but to put all the blame in AI and LLMs while giving management a pass is a bit too biased for my own taste. Again, this is mostly a question of "Garbage In, Garbage Out".
"Even if you grant that AI tooling accelerates specific workloads, the method and scale of the current investments is senseless. Frequently the failure is not related to AI itself, but rather that companies are terminally bad at running software projects effectively, and as I have remarked previously, AI projects are subject to all the failure modes of normal projects plus you can get everything right and then still fail because of the method's novelty. Very few companies are so good at shipping software that they can afford the extra risk profile.
Often enough, though, it’s an actual failure in what LLMs can accomplish. The most common version of this, being rolled out across businesses around the world, is the internally-facing chatbot, or for the more daring company, the customer-facing chatbot. The story is always the same. For the former, I’ve never seen substantial internal uptake from inside a business. Employees don’t use internal chatbots because companies tend to have low-quality documentation and an LLM is not psychic – it can only know things that have been written down and made accessible. For the latter customer-facing applications, I have rarely had a pleasant experience as a consumer, with perhaps the exception of live transcription during medical appointments – hardly something worth pivoting an entire organisation around. In both cases, project leaders are very careful to avoid tracking basic metrics, such as whether the tools are being used at all, or they track metrics that are easily gamed."
https://ludic.mataroa.blog/blog/ai-mania-is-eviscerating-global-decision-making/
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I don't doubt this is true for must companies but to put all the blame in AI and LLMs while giving management a pass is a bit too biased for my own taste. Again, this is mostly a question of "Garbage In, Garbage Out".
"Even if you grant that AI tooling accelerates specific workloads, the method and scale of the current investments is senseless. Frequently the failure is not related to AI itself, but rather that companies are terminally bad at running software projects effectively, and as I have remarked previously, AI projects are subject to all the failure modes of normal projects plus you can get everything right and then still fail because of the method's novelty. Very few companies are so good at shipping software that they can afford the extra risk profile.
Often enough, though, it’s an actual failure in what LLMs can accomplish. The most common version of this, being rolled out across businesses around the world, is the internally-facing chatbot, or for the more daring company, the customer-facing chatbot. The story is always the same. For the former, I’ve never seen substantial internal uptake from inside a business. Employees don’t use internal chatbots because companies tend to have low-quality documentation and an LLM is not psychic – it can only know things that have been written down and made accessible. For the latter customer-facing applications, I have rarely had a pleasant experience as a consumer, with perhaps the exception of live transcription during medical appointments – hardly something worth pivoting an entire organisation around. In both cases, project leaders are very careful to avoid tracking basic metrics, such as whether the tools are being used at all, or they track metrics that are easily gamed."
https://ludic.mataroa.blog/blog/ai-mania-is-eviscerating-global-decision-making/
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Ada: An AI business intelligence software from CSV and Excel(yes LLMs but more)
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Ada: An AI business intelligence software from CSV and Excel(yes LLMs but more)
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This has already been making the rounds but allow me to add my favorite part that I actually lol’d at…
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This has already been making the rounds but allow me to add my favorite part that I actually lol’d at…
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This has already been making the rounds but allow me to add my favorite part that I actually lol’d at…
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This has already been making the rounds but allow me to add my favorite part that I actually lol’d at…
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This has already been making the rounds but allow me to add my favorite part that I actually lol’d at…
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RE: https://floss.social/@opensourcefeed/116940965868195047
It's so funny. Until this, most people in my feed understood that the dangers of #AI were more than the hypothetical scenario of #LLMs going rogue. Most of them knew what the environmental impact of #dataCenters is. They knew about #AIPsychosis. They knew about the job market disruptions. They knew about #deskilling.
But now people are posting about #LinusTorvalds somewhat liking AI, because they like Linus Torvalds as a rebel—how isn't that ideology?
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RE: https://floss.social/@opensourcefeed/116940965868195047
It's so funny. Until this, most people in my feed understood that the dangers of #AI were more than the hypothetical scenario of #LLMs going rogue. Most of them knew what the environmental impact of #dataCenters is. They knew about #AIPsychosis. They knew about the job market disruptions. They knew about #deskilling.
But now people are posting about #LinusTorvalds somewhat liking AI, because they like Linus Torvalds as a rebel—how isn't that ideology?
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Amongst the many challenges with the deterioration of traditional web search is the problem of loss of access to usable references. Where we were once able to collect a useful sampling of data and with that, do analysis and synthesis, today we're presented with garbage.
In the past, the challenge was to marshal diverse ideas into a coherent whole. Today, the challenge is to even find one workable source that even vaguely relates to your search.
#enshittification #rss #usenet #llms
1/3 🧵
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Amongst the many challenges with the deterioration of traditional web search is the problem of loss of access to usable references. Where we were once able to collect a useful sampling of data and with that, do analysis and synthesis, today we're presented with garbage.
In the past, the challenge was to marshal diverse ideas into a coherent whole. Today, the challenge is to even find one workable source that even vaguely relates to your search.
#enshittification #rss #usenet #llms
1/3 🧵
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Amongst the many challenges with the deterioration of traditional web search is the problem of loss of access to usable references. Where we were once able to collect a useful sampling of data and with that, do analysis and synthesis, today we're presented with garbage.
In the past, the challenge was to marshal diverse ideas into a coherent whole. Today, the challenge is to even find one workable source that even vaguely relates to your search.
#enshittification #rss #usenet #llms
1/3 🧵
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Amongst the many challenges with the deterioration of traditional web search is the problem of loss of access to usable references. Where we were once able to collect a useful sampling of data and with that, do analysis and synthesis, today we're presented with garbage.
In the past, the challenge was to marshal diverse ideas into a coherent whole. Today, the challenge is to even find one workable source that even vaguely relates to your search.
#enshittification #rss #usenet #llms
1/3 🧵
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Amongst the many challenges with the deterioration of traditional web search is the problem of loss of access to usable references. Where we were once able to collect a useful sampling of data and with that, do analysis and synthesis, today we're presented with garbage.
In the past, the challenge was to marshal diverse ideas into a coherent whole. Today, the challenge is to even find one workable source that even vaguely relates to your search.
#enshittification #rss #usenet #llms
1/3 🧵
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RT @GaryMarcus: Wir sind in Bezug auf China und Large Language Models (LLMs) ziemlich in einer schwierigen Lage, aber das sollte nicht überraschen. Ich versuche schon lange, alle zu warnen. Im Januar 2025 warnte ich beispielsweise, dass: • die USA keinen entscheidenden Sieg im Bereich KI gegenüber China erreichen würden, wenn sie sich weiterhin hauptsächlich auf LLMs konzentrieren • wir stattdessen auf ein Unentschieden zusteuern • dass das Fehlen einer technischen Schutzmauer dazu führen würde, dass Unternehmen wie OpenAI weiterhin unprofitabel bleiben • dass Nvidia verwundbar sein würde • dass der CHIPS Act sich nach hinten losgehen würde, ohne China nennenswert aufzuhalten • dass Modelle zwar weiterhin effizienter und günstiger werden würden, Probleme wie Halluzinationen und Zuverlässigkeitsdefizite aber bestehen bleiben würden • dass ein endloses Rennen um LLMs Ressourcen verschlingen würde, die stattdessen in die Entwicklung originellerer Ideen fließen könnten. Ich wünschte, mehr Leute hätten zugehört. Gary Marcus (@GaryMarcus) Das Rennen um die „KI-Suprematie“ ist vorbei – zumindest vorerst. Und die USA haben es nicht gewonnen. Wochenend-Lesestück darüber, was das alles politisch und technisch bedeutet. • Was bedeutet das für OpenAI, StarGate & Nvidia? • Wie konnte China so schnell aufholen? • Ist dieses Rennen überhaupt sinnvoll? • Gibt es noch Hoffnung, dass die USA wieder einen klaren Vorsprung erlangen können? [Link unten; Abonnements werden geschätzt, sind aber nicht erforderlich.] — https://nitter.net/GaryMarcus/status/1883560770455359503#m
mehr auf Arint.info
#China #KI #LLMs #Nvidia #OpenAI #Technologiewettbewerb #arint_info
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Goob morning ☀️ In This Edition:
📟 Short-Form Content: AI & the job market: The cognitive dissonance of "Oh no, recent grads used AI in college!" vs. "New hires will absolutely be required to use AI once on the job"; Job applications from people that aren't real; and why is replacing human labour with AI so expensiiiiiive 😩 <insert crocodile tears here>
🌞 Good News!: Librarians are still cool; AI overview opt-out is becoming a thing; and lawsuits may be happening.
📯 The Post-Script: Reading Karl Bode's excellent piece on how the AI Hype Reckoning is Upon Us.
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Next time someone tries to convince you that their local slop machine is "privacy friendly" and "fully GDPR-compliant", ask them to try this:
Take a glass of water. Pour it into the sea. Extract the same water from the sea again.
The same goes for our data once they're fed to a slop machine. There's nothing privacy friendly about the complete loss of control over our information. Running a slop machine locally doesn't change anything.
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#privacy #DataProtection #GDPR #LLMs #StopTheSlop -
Next time someone tries to convince you that their local slop machine is "privacy friendly" and "fully GDPR-compliant", ask them to try this:
Take a glass of water. Pour it into the sea. Extract the same water from the sea again.
The same goes for our data once they're fed to a slop machine. There's nothing privacy friendly about the complete loss of control over our information. Running a slop machine locally doesn't change anything.
--
#privacy #DataProtection #GDPR #LLMs #StopTheSlop -
Next time someone tries to convince you that their local slop machine is "privacy friendly" and "fully GDPR-compliant", ask them to try this:
Take a glass of water. Pour it into the sea. Extract the same water from the sea again.
The same goes for our data once they're fed to a slop machine. There's nothing privacy friendly about the complete loss of control over our information. Running a slop machine locally doesn't change anything.
--
#privacy #DataProtection #GDPR #LLMs #StopTheSlop -
Next time someone tries to convince you that their local slop machine is "privacy friendly" and "fully GDPR-compliant", ask them to try this:
Take a glass of water. Pour it into the sea. Extract the same water from the sea again.
The same goes for our data once they're fed to a slop machine. There's nothing privacy friendly about the complete loss of control over our information. Running a slop machine locally doesn't change anything.
--
#privacy #DataProtection #GDPR #LLMs #StopTheSlop -
Next time someone tries to convince you that their local slop machine is "privacy friendly" and "fully GDPR-compliant", ask them to try this:
Take a glass of water. Pour it into the sea. Extract the same water from the sea again.
The same goes for our data once they're fed to a slop machine. There's nothing privacy friendly about the complete loss of control over our information. Running a slop machine locally doesn't change anything.
--
#privacy #DataProtection #GDPR #LLMs #StopTheSlop -
"The conclusion of The AI Con reveals the structural limit of the entire approach. Bender and Hanna propose “strategic refusal” as a political horizon: saying no to AI, drawing inspiration from Luddite movements and feminist struggles. The invitation is suggestive, but the question left unanswered is: refusal in favour of what? If AI is a technology that, as the book itself documents, is already reshaping work, healthcare, education, and cultural production, refusal without an alternative project risks being a symbolic gesture that leaves the field open to those who govern and deploy these technologies. The authors envision specific, narrow-scope tools designed in collaboration with communities; but this vision sets a very low bar and fails to reckon with the possibility that general-purpose language models have already produced widespread, imperfect, and improvable benefits—benefits that a politics of outright refusal would end up surrendering entirely to those with fewer scruples."
https://thephilosophicalsalon.com/the-end-of-algorithmic-denialism/
#AI #GenerativeAI #LLMs #Art #ArtHistory #Luddites #Neoluddites
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"The conclusion of The AI Con reveals the structural limit of the entire approach. Bender and Hanna propose “strategic refusal” as a political horizon: saying no to AI, drawing inspiration from Luddite movements and feminist struggles. The invitation is suggestive, but the question left unanswered is: refusal in favour of what? If AI is a technology that, as the book itself documents, is already reshaping work, healthcare, education, and cultural production, refusal without an alternative project risks being a symbolic gesture that leaves the field open to those who govern and deploy these technologies. The authors envision specific, narrow-scope tools designed in collaboration with communities; but this vision sets a very low bar and fails to reckon with the possibility that general-purpose language models have already produced widespread, imperfect, and improvable benefits—benefits that a politics of outright refusal would end up surrendering entirely to those with fewer scruples."
https://thephilosophicalsalon.com/the-end-of-algorithmic-denialism/
#AI #GenerativeAI #LLMs #Art #ArtHistory #Luddites #Neoluddites
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"The conclusion of The AI Con reveals the structural limit of the entire approach. Bender and Hanna propose “strategic refusal” as a political horizon: saying no to AI, drawing inspiration from Luddite movements and feminist struggles. The invitation is suggestive, but the question left unanswered is: refusal in favour of what? If AI is a technology that, as the book itself documents, is already reshaping work, healthcare, education, and cultural production, refusal without an alternative project risks being a symbolic gesture that leaves the field open to those who govern and deploy these technologies. The authors envision specific, narrow-scope tools designed in collaboration with communities; but this vision sets a very low bar and fails to reckon with the possibility that general-purpose language models have already produced widespread, imperfect, and improvable benefits—benefits that a politics of outright refusal would end up surrendering entirely to those with fewer scruples."
https://thephilosophicalsalon.com/the-end-of-algorithmic-denialism/
#AI #GenerativeAI #LLMs #Art #ArtHistory #Luddites #Neoluddites
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"The conclusion of The AI Con reveals the structural limit of the entire approach. Bender and Hanna propose “strategic refusal” as a political horizon: saying no to AI, drawing inspiration from Luddite movements and feminist struggles. The invitation is suggestive, but the question left unanswered is: refusal in favour of what? If AI is a technology that, as the book itself documents, is already reshaping work, healthcare, education, and cultural production, refusal without an alternative project risks being a symbolic gesture that leaves the field open to those who govern and deploy these technologies. The authors envision specific, narrow-scope tools designed in collaboration with communities; but this vision sets a very low bar and fails to reckon with the possibility that general-purpose language models have already produced widespread, imperfect, and improvable benefits—benefits that a politics of outright refusal would end up surrendering entirely to those with fewer scruples."
https://thephilosophicalsalon.com/the-end-of-algorithmic-denialism/
#AI #GenerativeAI #LLMs #Art #ArtHistory #Luddites #Neoluddites
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"The conclusion of The AI Con reveals the structural limit of the entire approach. Bender and Hanna propose “strategic refusal” as a political horizon: saying no to AI, drawing inspiration from Luddite movements and feminist struggles. The invitation is suggestive, but the question left unanswered is: refusal in favour of what? If AI is a technology that, as the book itself documents, is already reshaping work, healthcare, education, and cultural production, refusal without an alternative project risks being a symbolic gesture that leaves the field open to those who govern and deploy these technologies. The authors envision specific, narrow-scope tools designed in collaboration with communities; but this vision sets a very low bar and fails to reckon with the possibility that general-purpose language models have already produced widespread, imperfect, and improvable benefits—benefits that a politics of outright refusal would end up surrendering entirely to those with fewer scruples."
https://thephilosophicalsalon.com/the-end-of-algorithmic-denialism/
#AI #GenerativeAI #LLMs #Art #ArtHistory #Luddites #Neoluddites
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"The majority of human production has always been slop. Mediocrity is not a bug of technology; it is the baseline of culture. The canon of art we revere today – those few thousands works in museums and textbooks – is the surviving tip of an immense iceberg of forgotten, derivative, or simply boring creations.
An artistic medium often begins in scarcity and ends in abundance. When a tool becomes accessible, it multiplies not only creativity but also repetition. Oil painting, once the privilege of guilds and courts, flooded the world with saints and still lifes as soon as pigments became cheaper. The printing press multiplied pamphlets, gossip, and devotional kitsch alongside poetry. Photography industrialized portraiture and bad taste. Internet flooded us with images and words of appalling banality.
The same pattern repeats today. To say that “AI produces only slop” is a simple statistical error. Yes, most outputs are mediocre; but that is because most human ideas are mediocre, and most uses of technology are unimaginative. The problem is not the machine but our expectations of it, our eagerness to see in it either a monster or a miracle instead of a mirror."
https://thephilosophicalsalon.com/the-idea-of-ai-slop-is-slop/
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For my weekend reading, I’ve started @pluralistic’s new book The Reverse Centaur’s Guide to Life After AI.
(I haven’t actually read any of his books before so I’m looking forward to finishing this and maybe picking up Enshittification next.)
https://us.macmillan.com/books/9780374621575
#AI #LLMs #AIBubble #CoryDoctorow #books #Bookstodon #nonfiction
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For my weekend reading, I’ve started @pluralistic’s new book The Reverse Centaur’s Guide to Life After AI.
(I haven’t actually read any of his books before so I’m looking forward to finishing this and maybe picking up Enshittification next.)
https://us.macmillan.com/books/9780374621575
#AI #LLMs #AIBubble #CoryDoctorow #books #Bookstodon #nonfiction