#llms — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #llms, aggregated by home.social.
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Integrating ChatGPT with WordPress: A Comprehensive Guide
integrating Large Language Models (LLMs) like ChatGPT or Google Gemini is no longer an optional luxury; it is a competitive necessity
https://awplife.com/integrating-chatgpt-with-wordpress-guide/
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#Anthropic lied again! Their "#AI is going to kill us all" whistleblower was a coordinated psyop with PR firm behind it.
I love locally run LLMs and find them quite useful (none of them comes from #OpenAI or Anthropic). So tired of these fuckers lying and dumb #media repeating every word they say.
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#Anthropic lied again! Their "#AI is going to kill us all" whistleblower was a coordinated psyop with PR firm behind it.
I love locally run LLMs and find them quite useful (none of them comes from #OpenAI or Anthropic). So tired of these fuckers lying and dumb #media repeating every word they say.
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#Anthropic lied again! Their "#AI is going to kill us all" whistleblower was a coordinated psyop with PR firm behind it.
I love locally run LLMs and find them quite useful (none of them comes from #OpenAI or Anthropic). So tired of these fuckers lying and dumb #media repeating every word they say.
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#Anthropic lied again! Their "#AI is going to kill us all" whistleblower was a coordinated psyop with PR firm behind it.
I love locally run LLMs and find them quite useful (none of them comes from #OpenAI or Anthropic). So tired of these fuckers lying and dumb #media repeating every word they say.
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Here's 3 avenues I am personally pursuing as the coding / "traditional" software engineering part of the job gets crushed.
- mathematics: since we massage symbols to communicate complex ideas, compose complex things and transform them into bytes CPUs can interpret, might as well be very stringent about this kind of thinking that has become more important than ever. We could hide behind the sheer complexity of assembling pieces of code by hand, but now need to think much bigger. One very concrete application: proving software correct.
- design: making things look good, making them work well, making them be delightful is a profoundly human endeavour. That vibeslop has become "the new standard" in many ways is already a win. I'll let anybody use the CUPS UI to see what I mean. Now it's time to really take it to the next level. With a huge amount of people being able to "vibe" their apps, it's now important to elevate design to a "how do we design designing tools"
- hardware: everything with a CPU is fair game, pretty much. There is a lot of hard work to be done to know what to combine and how, how to minimize power consumption, how to make software work on very small devices. The better you know how electronics and manufacturing and physical things like mechanical components or EE stuff work, the easier it is to summon the right code to make them interact.
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Here's 3 avenues I am personally pursuing as the coding / "traditional" software engineering part of the job gets crushed.
- mathematics: since we massage symbols to communicate complex ideas, compose complex things and transform them into bytes CPUs can interpret, might as well be very stringent about this kind of thinking that has become more important than ever. We could hide behind the sheer complexity of assembling pieces of code by hand, but now need to think much bigger. One very concrete application: proving software correct.
- design: making things look good, making them work well, making them be delightful is a profoundly human endeavour. That vibeslop has become "the new standard" in many ways is already a win. I'll let anybody use the CUPS UI to see what I mean. Now it's time to really take it to the next level. With a huge amount of people being able to "vibe" their apps, it's now important to elevate design to a "how do we design designing tools"
- hardware: everything with a CPU is fair game, pretty much. There is a lot of hard work to be done to know what to combine and how, how to minimize power consumption, how to make software work on very small devices. The better you know how electronics and manufacturing and physical things like mechanical components or EE stuff work, the easier it is to summon the right code to make them interact.
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Here's 3 avenues I am personally pursuing as the coding / "traditional" software engineering part of the job gets crushed.
- mathematics: since we massage symbols to communicate complex ideas, compose complex things and transform them into bytes CPUs can interpret, might as well be very stringent about this kind of thinking that has become more important than ever. We could hide behind the sheer complexity of assembling pieces of code by hand, but now need to think much bigger. One very concrete application: proving software correct.
- design: making things look good, making them work well, making them be delightful is a profoundly human endeavour. That vibeslop has become "the new standard" in many ways is already a win. I'll let anybody use the CUPS UI to see what I mean. Now it's time to really take it to the next level. With a huge amount of people being able to "vibe" their apps, it's now important to elevate design to a "how do we design designing tools"
- hardware: everything with a CPU is fair game, pretty much. There is a lot of hard work to be done to know what to combine and how, how to minimize power consumption, how to make software work on very small devices. The better you know how electronics and manufacturing and physical things like mechanical components or EE stuff work, the easier it is to summon the right code to make them interact.
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Here's 3 avenues I am personally pursuing as the coding / "traditional" software engineering part of the job gets crushed.
- mathematics: since we massage symbols to communicate complex ideas, compose complex things and transform them into bytes CPUs can interpret, might as well be very stringent about this kind of thinking that has become more important than ever. We could hide behind the sheer complexity of assembling pieces of code by hand, but now need to think much bigger. One very concrete application: proving software correct.
- design: making things look good, making them work well, making them be delightful is a profoundly human endeavour. That vibeslop has become "the new standard" in many ways is already a win. I'll let anybody use the CUPS UI to see what I mean. Now it's time to really take it to the next level. With a huge amount of people being able to "vibe" their apps, it's now important to elevate design to a "how do we design designing tools"
- hardware: everything with a CPU is fair game, pretty much. There is a lot of hard work to be done to know what to combine and how, how to minimize power consumption, how to make software work on very small devices. The better you know how electronics and manufacturing and physical things like mechanical components or EE stuff work, the easier it is to summon the right code to make them interact.
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Here's 3 avenues I am personally pursuing as the coding / "traditional" software engineering part of the job gets crushed.
- mathematics: since we massage symbols to communicate complex ideas, compose complex things and transform them into bytes CPUs can interpret, might as well be very stringent about this kind of thinking that has become more important than ever. We could hide behind the sheer complexity of assembling pieces of code by hand, but now need to think much bigger. One very concrete application: proving software correct.
- design: making things look good, making them work well, making them be delightful is a profoundly human endeavour. That vibeslop has become "the new standard" in many ways is already a win. I'll let anybody use the CUPS UI to see what I mean. Now it's time to really take it to the next level. With a huge amount of people being able to "vibe" their apps, it's now important to elevate design to a "how do we design designing tools"
- hardware: everything with a CPU is fair game, pretty much. There is a lot of hard work to be done to know what to combine and how, how to minimize power consumption, how to make software work on very small devices. The better you know how electronics and manufacturing and physical things like mechanical components or EE stuff work, the easier it is to summon the right code to make them interact.
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All your AI generated tools look the same… You’ve got same ideas and the same lame UI…
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All your AI generated tools look the same… You’ve got same ideas and the same lame UI…
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All your AI generated tools look the same… You’ve got same ideas and the same lame UI…
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RE: https://hachyderm.io/@mnl/116507196473706970
Posting this again since despite the mass of confident of “I will never use #ai / #llm / #llms but also I know everything about how they work and everybody using them doesn’t know how to engineer” posts on my timeline triggered me again.
Try me, I’m willing to spend 4h on whatever.
If you can confidently state that everybody using llms is brain broken and “lost”, it should be pretty easy to show how broken and bad whatever I produce is going to be?
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RE: https://hachyderm.io/@mnl/116507196473706970
Posting this again since despite the mass of confident of “I will never use #ai / #llm / #llms but also I know everything about how they work and everybody using them doesn’t know how to engineer” posts on my timeline triggered me again.
Try me, I’m willing to spend 4h on whatever.
If you can confidently state that everybody using llms is brain broken and “lost”, it should be pretty easy to show how broken and bad whatever I produce is going to be?
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RE: https://hachyderm.io/@mnl/116507196473706970
Posting this again since despite the mass of confident of “I will never use #ai / #llm / #llms but also I know everything about how they work and everybody using them doesn’t know how to engineer” posts on my timeline triggered me again.
Try me, I’m willing to spend 4h on whatever.
If you can confidently state that everybody using llms is brain broken and “lost”, it should be pretty easy to show how broken and bad whatever I produce is going to be?
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RE: https://hachyderm.io/@mnl/116507196473706970
Posting this again since despite the mass of confident of “I will never use #ai / #llm / #llms but also I know everything about how they work and everybody using them doesn’t know how to engineer” posts on my timeline triggered me again.
Try me, I’m willing to spend 4h on whatever.
If you can confidently state that everybody using llms is brain broken and “lost”, it should be pretty easy to show how broken and bad whatever I produce is going to be?
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RE: https://hachyderm.io/@mnl/116507196473706970
Posting this again since despite the mass of confident of “I will never use #ai / #llm / #llms but also I know everything about how they work and everybody using them doesn’t know how to engineer” posts on my timeline triggered me again.
Try me, I’m willing to spend 4h on whatever.
If you can confidently state that everybody using llms is brain broken and “lost”, it should be pretty easy to show how broken and bad whatever I produce is going to be?
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“So I don’t do much work anymore. I’m too busy thinking”
Gosh, pure gold! Just rewatched this short video clip from 1967 🤯👉🏻 https://youtu.be/_IZw2CoYztk and I can’t help thinking about how wrong we all got it in just a few decades.
Like, going in the complete opposite direction! 😤
[ Yeah, this is a post about #LLMs ]
#SovereignByDesign #GenAI #CriticalThinking #Thinking #Technology #Innovation
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“So I don’t do much work anymore. I’m too busy thinking”
Gosh, pure gold! Just rewatched this short video clip from 1967 🤯👉🏻 https://youtu.be/_IZw2CoYztk and I can’t help thinking about how wrong we all got it in just a few decades.
Like, going in the complete opposite direction! 😤
[ Yeah, this is a post about #LLMs ]
#SovereignByDesign #GenAI #CriticalThinking #Thinking #Technology #Innovation
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“So I don’t do much work anymore. I’m too busy thinking”
Gosh, pure gold! Just rewatched this short video clip from 1967 🤯👉🏻 https://youtu.be/_IZw2CoYztk and I can’t help thinking about how wrong we all got it in just a few decades.
Like, going in the complete opposite direction! 😤
[ Yeah, this is a post about #LLMs ]
#SovereignByDesign #GenAI #CriticalThinking #Thinking #Technology #Innovation
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“So I don’t do much work anymore. I’m too busy thinking”
Gosh, pure gold! Just rewatched this short video clip from 1967 🤯👉🏻 https://youtu.be/_IZw2CoYztk and I can’t help thinking about how wrong we all got it in just a few decades.
Like, going in the complete opposite direction! 😤
[ Yeah, this is a post about #LLMs ]
#SovereignByDesign #GenAI #CriticalThinking #Thinking #Technology #Innovation
-
“So I don’t do much work anymore. I’m too busy thinking”
Gosh, pure gold! Just rewatched this short video clip from 1967 🤯👉🏻 https://youtu.be/_IZw2CoYztk and I can’t help thinking about how wrong we all got it in just a few decades.
Like, going in the complete opposite direction! 😤
[ Yeah, this is a post about #LLMs ]
#SovereignByDesign #GenAI #CriticalThinking #Thinking #Technology #Innovation
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@Ruby SkunkloonFor both alt text and CWs, I wish there was a more automated way to handle this. Like, having canned CW tags at the ready, or an image detection bot that actually works as intended for filling out alt text. (That's before getting into the weeds of "AI", which is contentious in itself.)
For CWs, in theory, things could be a whole lot better. A whole lot better than what Mastodon's culture demands.
Instead of the writer supplying a CW and forcing the self-same CW upon all readers all the same, CWs could be automatically generated on the readers' side. Like, those who need that particular CW get it, and those who don't need it don't get it.
This is technically possible. Mastodon has introduced it with version 4.0 in October, 2022. It's a filter setting. In general, this has been available in the Fediverse since 2010 when Friendica introduced it first. On Friendica and all its descendants, CW culture has always been built around this rather than writing CWs into the summary field and forcing them upon everyone all the same.
This has got a few downsides, though:- Writers still have to remember to take care of adding filter-triggering keywords.
- The best way to add keywords without shoehorning them into the text is as hashtags, but many Mastodon users have a problem with more than, say, four hashtags per message.
- Whereas Friendica and its descendants simply have a keyword list for this purpose, Mastodon requires one new filter to be set up for each keyword.
- I guess there are lots of Mastodon apps that don't have creating or editing filters built in. And I know there are lots of Mastodon users who would never ever touch Mastodon's Web UI under any circumstances.
- Mastodon users are used to being coddled and pampered all over. Most of them would never take care of CWs being generated on their side by themselves. They expect CWs to be served to them by the writers.
- And then there are those Fediverse server applications that either don't have a hiding/CW-generating filter or no filters at all.
Fully automated, zero-click, fire-and-forget image description generators have been desired by Mastodon users for about as long as alt-texts have been a thing. But let me tell you: Fully automated, fire-and-forget image description generators that can describe any image perfectly accurately are utopic. Even more if they're also expected to adhere to all existing image-describing and alt-text rules and adapt the descriptions both to the context and to the audience that's to be expected.
Trust me. My original images could barely be more obscure and niche. They're renderings from extremely obscure 3-D virtual worlds. And I've actually had two of them described by an AI after writing my own highly detailed image descriptions 100% by hand with no AI assistance. It took me several hours to write one description and two days to write the other one.
The results were abysmal. The AI descriptions were no match for my hand-written descriptions at all. They omitted things that really stood out in the images, they got things wrong, they guessed things that I knew for a fact.
Granted, it was extra unfair because the AI only had the image to look at whereas I wrote the image descriptions by looking at the real deal in-world with an almost infinitely higher resolution, with the ability to look around obstacles even. Still, at least for my own images, I consider this style of writing image descriptions the benchmark. AI will never get there. It will never have the extreme niche knowledge of an expert, and it will never be able to see things that I see.
CC: @Princess Nettles Succubish
#Long #LongPost #CWLong #CWLongPost #FediMeta #FediverseMeta #CWFediMeta #CWFediverseMeta #Mastodon #MastodonCulture #CW #CWs #CWMeta #ContentWarning #ContentWarnings #ContentWarningMeta #AltText #AltTextMeta #CWAltTextMeta #ImageDescription #ImageDescriptions #ImageDescriptionMeta #CWImageDescriptionMeta #AI #LLM #LLMs #AIVsHuman #HumanVsAI -
@Ruby SkunkloonFor both alt text and CWs, I wish there was a more automated way to handle this. Like, having canned CW tags at the ready, or an image detection bot that actually works as intended for filling out alt text. (That's before getting into the weeds of "AI", which is contentious in itself.)
For CWs, in theory, things could be a whole lot better. A whole lot better than what Mastodon's culture demands.
Instead of the writer supplying a CW and forcing the self-same CW upon all readers all the same, CWs could be automatically generated on the readers' side. Like, those who need that particular CW get it, and those who don't need it don't get it.
This is technically possible. Mastodon has introduced it with version 4.0 in October, 2022. It's a filter setting. In general, this has been available in the Fediverse since 2010 when Friendica introduced it first. On Friendica and all its descendants, CW culture has always been built around this rather than writing CWs into the summary field and forcing them upon everyone all the same.
This has got a few downsides, though:- Writers still have to remember to take care of adding filter-triggering keywords.
- The best way to add keywords without shoehorning them into the text is as hashtags, but many Mastodon users have a problem with more than, say, four hashtags per message.
- Whereas Friendica and its descendants simply have a keyword list for this purpose, Mastodon requires one new filter to be set up for each keyword.
- I guess there are lots of Mastodon apps that don't have creating or editing filters built in. And I know there are lots of Mastodon users who would never ever touch Mastodon's Web UI under any circumstances.
- Mastodon users are used to being coddled and pampered all over. Most of them would never take care of CWs being generated on their side by themselves. They expect CWs to be served to them by the writers.
- And then there are those Fediverse server applications that either don't have a hiding/CW-generating filter or no filters at all.
Fully automated, zero-click, fire-and-forget image description generators have been desired by Mastodon users for about as long as alt-texts have been a thing. But let me tell you: Fully automated, fire-and-forget image description generators that can describe any image perfectly accurately are utopic. Even more if they're also expected to adhere to all existing image-describing and alt-text rules and adapt the descriptions both to the context and to the audience that's to be expected.
Trust me. My original images could barely be more obscure and niche. They're renderings from extremely obscure 3-D virtual worlds. And I've actually had two of them described by an AI after writing my own highly detailed image descriptions 100% by hand with no AI assistance. It took me several hours to write one description and two days to write the other one.
The results were abysmal. The AI descriptions were no match for my hand-written descriptions at all. They omitted things that really stood out in the images, they got things wrong, they guessed things that I knew for a fact.
Granted, it was extra unfair because the AI only had the image to look at whereas I wrote the image descriptions by looking at the real deal in-world with an almost infinitely higher resolution, with the ability to look around obstacles even. Still, at least for my own images, I consider this style of writing image descriptions the benchmark. AI will never get there. It will never have the extreme niche knowledge of an expert, and it will never be able to see things that I see.
CC: @Princess Nettles Succubish
#Long #LongPost #CWLong #CWLongPost #FediMeta #FediverseMeta #CWFediMeta #CWFediverseMeta #Mastodon #MastodonCulture #CW #CWs #CWMeta #ContentWarning #ContentWarnings #ContentWarningMeta #AltText #AltTextMeta #CWAltTextMeta #ImageDescription #ImageDescriptions #ImageDescriptionMeta #CWImageDescriptionMeta #AI #LLM #LLMs #AIVsHuman #HumanVsAI -
👌🏽👇🏽:
“Coding Is NOT Solved”, Alex Ewerlöf (https://blog.alexewerlof.com/p/coding-is-not-solved).
Via HN: https://news.ycombinator.com/item?id=49877988
#AI #LLMs #Programming #Coding #AIAssistedCoding #CodingIsSolved #SoftwareEngineering #Quality #YOLO #Myths
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👌🏽👇🏽:
“Coding Is NOT Solved”, Alex Ewerlöf (https://blog.alexewerlof.com/p/coding-is-not-solved).
Via HN: https://news.ycombinator.com/item?id=49877988
#AI #LLMs #Programming #Coding #AIAssistedCoding #CodingIsSolved #SoftwareEngineering #Quality #YOLO #Myths
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👌🏽👇🏽:
“Coding Is NOT Solved”, Alex Ewerlöf (https://blog.alexewerlof.com/p/coding-is-not-solved).
Via HN: https://news.ycombinator.com/item?id=49877988
#AI #LLMs #Programming #Coding #AIAssistedCoding #CodingIsSolved #SoftwareEngineering #Quality #YOLO #Myths
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👌🏽👇🏽:
“Coding Is NOT Solved”, Alex Ewerlöf (https://blog.alexewerlof.com/p/coding-is-not-solved).
Via HN: https://news.ycombinator.com/item?id=49877988
#AI #LLMs #Programming #Coding #AIAssistedCoding #CodingIsSolved #SoftwareEngineering #Quality #YOLO #Myths
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PrismML brings its tiny LLMs to Qualcomm-powered smart glasses
Prism’s larger goal is open-weight AI that runs on devices and makes better use of the computing power they already have.
https://justpaste.in/news/prismml-brings-its-tiny-llms-to-qualcomm-powered-smart-glasses/
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PrismML brings its tiny LLMs to Qualcomm-powered smart glasses
Prism’s larger goal is open-weight AI that runs on devices and makes better use of the computing power they already have.
https://justpaste.in/news/prismml-brings-its-tiny-llms-to-qualcomm-powered-smart-glasses/
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PrismML brings its tiny LLMs to Qualcomm-powered smart glasses
Prism’s larger goal is open-weight AI that runs on devices and makes better use of the computing power they already have.
https://justpaste.in/news/prismml-brings-its-tiny-llms-to-qualcomm-powered-smart-glasses/
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PrismML brings its tiny LLMs to Qualcomm-powered smart glasses
Prism’s larger goal is open-weight AI that runs on devices and makes better use of the computing power they already have.
https://justpaste.in/news/prismml-brings-its-tiny-llms-to-qualcomm-powered-smart-glasses/
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PrismML brings its tiny LLMs to Qualcomm-powered smart glasses
Prism’s larger goal is open-weight AI that runs on devices and makes better use of the computing power they already have.
https://justpaste.in/news/prismml-brings-its-tiny-llms-to-qualcomm-powered-smart-glasses/
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a series of proprietary #LargeLanguageModels #LLMs. In January 2021, with the goal of promoting AI safety, #Anthropic was founded by former members of #OpenAI
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"It’s true that there’s some debate among philosophers and scientists over whether AI models think or feel, but even saying that’s probably lending the AI-is-sentient-camp a little too much credence. Fascinating a possibility as it is to consider, there’s no consensus that AI systems have these experiences.
It’s a testament to how defensive, if not cultish, that AI advocates have become that merely suggesting that large language models don’t think, let alone in the way humans do, is cause for indignation. Even supposing that it’s possible that AIs are already experiencing human-like emotions, why not err on the side of caution and stick to language that doesn’t bias us in favor of viewing these things as already alive, especially when there’s a trillion dollar industry at work trying to hype its tech as a powerful force that we should let change our lives?"
https://futurism.com/artificial-intelligence/ai-bros-meltdown-feelings
#AI #GenerativeAI #LLMs #AP #AssociatedPress #Anthropomorphization
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"It’s true that there’s some debate among philosophers and scientists over whether AI models think or feel, but even saying that’s probably lending the AI-is-sentient-camp a little too much credence. Fascinating a possibility as it is to consider, there’s no consensus that AI systems have these experiences.
It’s a testament to how defensive, if not cultish, that AI advocates have become that merely suggesting that large language models don’t think, let alone in the way humans do, is cause for indignation. Even supposing that it’s possible that AIs are already experiencing human-like emotions, why not err on the side of caution and stick to language that doesn’t bias us in favor of viewing these things as already alive, especially when there’s a trillion dollar industry at work trying to hype its tech as a powerful force that we should let change our lives?"
https://futurism.com/artificial-intelligence/ai-bros-meltdown-feelings
#AI #GenerativeAI #LLMs #AP #AssociatedPress #Anthropomorphization
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Interesting to see how “magical” and manichean the anti-ai discourse can be, at least here on mastodon.
Things and people are irredeemably tainted by #ai , a single commit with a Claude code signature is enough to leave a project behind, ai is like the one ring, ai is a brainworm, ai rots your brain, etc… ngl but it feels like walking into a rationalist bar at times.
(Assuming most discourse is about #llms) I get that word machines really put a strain on our understanding of what it is to be a communicating human, and specifically warp the brain of people whose job (and this being mastodon, most probably passion) it is to fiddle with symbols (I certainly am), but if anything, it should allow us to be a bit more nuanced about the topic.
The speed at which models have evolved in the last year has honestly taken me by surprise, and even though I see some way to feel relevant still _as a programmer_ (vs as a designer or builder), meaning as someone who thinks hard about manipulating symbols, I’m pretty sure even that is going to be gone in a year.
But I will not give in to magical thinking or stop trying to talk about it as a technology that produces symbols (as if that wasn’t enough), not some human devouring moloch.
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Interesting to see how “magical” and manichean the anti-ai discourse can be, at least here on mastodon.
Things and people are irredeemably tainted by #ai , a single commit with a Claude code signature is enough to leave a project behind, ai is like the one ring, ai is a brainworm, ai rots your brain, etc… ngl but it feels like walking into a rationalist bar at times.
(Assuming most discourse is about #llms) I get that word machines really put a strain on our understanding of what it is to be a communicating human, and specifically warp the brain of people whose job (and this being mastodon, most probably passion) it is to fiddle with symbols (I certainly am), but if anything, it should allow us to be a bit more nuanced about the topic.
The speed at which models have evolved in the last year has honestly taken me by surprise, and even though I see some way to feel relevant still _as a programmer_ (vs as a designer or builder), meaning as someone who thinks hard about manipulating symbols, I’m pretty sure even that is going to be gone in a year.
But I will not give in to magical thinking or stop trying to talk about it as a technology that produces symbols (as if that wasn’t enough), not some human devouring moloch.
-
Interesting to see how “magical” and manichean the anti-ai discourse can be, at least here on mastodon.
Things and people are irredeemably tainted by #ai , a single commit with a Claude code signature is enough to leave a project behind, ai is like the one ring, ai is a brainworm, ai rots your brain, etc… ngl but it feels like walking into a rationalist bar at times.
(Assuming most discourse is about #llms) I get that word machines really put a strain on our understanding of what it is to be a communicating human, and specifically warp the brain of people whose job (and this being mastodon, most probably passion) it is to fiddle with symbols (I certainly am), but if anything, it should allow us to be a bit more nuanced about the topic.
The speed at which models have evolved in the last year has honestly taken me by surprise, and even though I see some way to feel relevant still _as a programmer_ (vs as a designer or builder), meaning as someone who thinks hard about manipulating symbols, I’m pretty sure even that is going to be gone in a year.
But I will not give in to magical thinking or stop trying to talk about it as a technology that produces symbols (as if that wasn’t enough), not some human devouring moloch.
-
Interesting to see how “magical” and manichean the anti-ai discourse can be, at least here on mastodon.
Things and people are irredeemably tainted by #ai , a single commit with a Claude code signature is enough to leave a project behind, ai is like the one ring, ai is a brainworm, ai rots your brain, etc… ngl but it feels like walking into a rationalist bar at times.
(Assuming most discourse is about #llms) I get that word machines really put a strain on our understanding of what it is to be a communicating human, and specifically warp the brain of people whose job (and this being mastodon, most probably passion) it is to fiddle with symbols (I certainly am), but if anything, it should allow us to be a bit more nuanced about the topic.
The speed at which models have evolved in the last year has honestly taken me by surprise, and even though I see some way to feel relevant still _as a programmer_ (vs as a designer or builder), meaning as someone who thinks hard about manipulating symbols, I’m pretty sure even that is going to be gone in a year.
But I will not give in to magical thinking or stop trying to talk about it as a technology that produces symbols (as if that wasn’t enough), not some human devouring moloch.
-
Interesting to see how “magical” and manichean the anti-ai discourse can be, at least here on mastodon.
Things and people are irredeemably tainted by #ai , a single commit with a Claude code signature is enough to leave a project behind, ai is like the one ring, ai is a brainworm, ai rots your brain, etc… ngl but it feels like walking into a rationalist bar at times.
(Assuming most discourse is about #llms) I get that word machines really put a strain on our understanding of what it is to be a communicating human, and specifically warp the brain of people whose job (and this being mastodon, most probably passion) it is to fiddle with symbols (I certainly am), but if anything, it should allow us to be a bit more nuanced about the topic.
The speed at which models have evolved in the last year has honestly taken me by surprise, and even though I see some way to feel relevant still _as a programmer_ (vs as a designer or builder), meaning as someone who thinks hard about manipulating symbols, I’m pretty sure even that is going to be gone in a year.
But I will not give in to magical thinking or stop trying to talk about it as a technology that produces symbols (as if that wasn’t enough), not some human devouring moloch.
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MicroLLM Lab – Try 7 tiny LLM's in the browser
https://stateofutopia.com/experiments/microllmlab/
Comments: https://news.ycombinator.com/item?id=49882781
#HackerNews #MicroLLM #Lab #LLMs #AIinBrowser #TinyMLM #Experimentation
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MicroLLM Lab – Try 7 tiny LLM's in the browser
https://stateofutopia.com/experiments/microllmlab/
Comments: https://news.ycombinator.com/item?id=49882781
#HackerNews #MicroLLM #Lab #LLMs #AIinBrowser #TinyMLM #Experimentation
-
MicroLLM Lab – Try 7 tiny LLM's in the browser
https://stateofutopia.com/experiments/microllmlab/
Comments: https://news.ycombinator.com/item?id=49882781
#HackerNews #MicroLLM #Lab #LLMs #AIinBrowser #TinyMLM #Experimentation
-
MicroLLM Lab – Try 7 tiny LLM's in the browser
https://stateofutopia.com/experiments/microllmlab/
Comments: https://news.ycombinator.com/item?id=49882781
#HackerNews #MicroLLM #Lab #LLMs #AIinBrowser #TinyMLM #Experimentation