Una pequeña reflexión sobre la IA, específicamente de cómo hablamos de la IA. Porque he visto mucha toxicidad cuando se habla de estos temas, sobre todo acá en el fedi y sinceramente creo que no sé si esto beneficia a alguien.
Les leo en los comentarios y les mando mucho amortz de antemano
#IA #fedi #llms
llms
"The people building and using AI at full power are living in a very different world from everyone else."
Tag yourself!
https://www.axios.com/2026/04/13/ai-elite-vs-ai-skeptic-doomer
#news #technology #TechNews #AI #LLMs
Options: (choose one)
I recently reread Fred Brooks's 1986 classic No Silver Bullet, which you can find here: https://www.cs.unc.edu/techreports/86-020.pdf . I think it is useful to re-consider Brooks's distinction between the essential complexity versus the accidental complexity of software development in light of the recent mania behind using LLMs for coding. Which of these types of complexity does LLM use address? Does it introduce more of either class of complexity?
In light of what I've seen, LLM use seems to provide the illusion of addressing both kinds of complexity in the short-term while it increases essential complexity in the long-term. It may or may not reduce some accidental complexity; the verdict is still out, as far as I can tell. Judging from the recent leak of the Claude Code front end source code, LLMs seem to introduce an enormous amount of new accidental complexity.
To the extent that LLMs are in the category of what Brooks calls automatic programming, this quote he shares from David Parnas is important:
Taken together, all this seems to suggest that LLM use in coding is a net negative, and if the above is to be believed it will result in worse outcomes, not better, over the long haul. Definitely re-read Brooks and see if you agree.
#AI #GenAI #GenerativeAI #AgenticAI #LLMs #ClaudeCode #software #tech #dev #SoftwareEngineering #SoftwareDevelopment
In light of what I've seen, LLM use seems to provide the illusion of addressing both kinds of complexity in the short-term while it increases essential complexity in the long-term. It may or may not reduce some accidental complexity; the verdict is still out, as far as I can tell. Judging from the recent leak of the Claude Code front end source code, LLMs seem to introduce an enormous amount of new accidental complexity.
To the extent that LLMs are in the category of what Brooks calls automatic programming, this quote he shares from David Parnas is important:
Automatic programming always has been a euphemism for programming with a higher-level language than was presently available to the programmer.The "higher-level language" LLMs trade in is English, which Dijkstra has strongly argued makes for a poor programming language. But even if, contra Dijkstra, it turns out LLMs somehow change that equation, we are still stuck with Brooks's argument that higher-level programming languages largely only address accidental complexity. They do not get at the essence of what makes creating software systems difficult.
Taken together, all this seems to suggest that LLM use in coding is a net negative, and if the above is to be believed it will result in worse outcomes, not better, over the long haul. Definitely re-read Brooks and see if you agree.
#AI #GenAI #GenerativeAI #AgenticAI #LLMs #ClaudeCode #software #tech #dev #SoftwareEngineering #SoftwareDevelopment
I realized that if I was writing a program and it didn't always work, I had a choice: I could either fix it, or call it AI.--David Parnas
#AI #GenAI #GenerativeAI #AgenticAI #LLMs #Claude #ClaudeCode #ChatGPT #tech #dev #software #SoftwareDevelopment #SoftwareEngineering
"[A] recent survey of 5,000 white-collar US workers found that 40% of non-managers say AI saves them no time at all at work, while 92% of high-level executives say it makes them more productive."
Good insight into which jobs can be safely automated.
https://www.theguardian.com/technology/2026/apr/14/ai-productivity-workplace-errors
#news #technology #TechNews #LLMs #workslop #AI #work #automation
Edited 181d ago
Feeling anti-AI? Got a Reddit account? Got something to say?
Interested in FreeBSD?
https://www.reddit.com/r/freebsd/comments/1vtgx7t/antiai_open_source_has_an_enemy_in_common_but/ @lproven
― Anti-AI open source has an enemy in common, but almost nothing else
Get in there!
Be nice.
"But it’s not just that AI companies are restricting access to their products, shutting down products altogether, and beginning to increase prices. The broader impact of the current unsustainability of AI can be seen across various sectors of the economy."
https://www.404media.co/the-ai-compute-crunch-is-here-and-its-affecting-the-entire-economy/
The Guardian is looking for people who have deep, personal conversations with their chatbots.
"Lots of people now use chatbots as personal assistants, sometimes to the extent that they have formed an emotional attachment to them."
"Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user's query."
https://github.com/openai/codex/blob/main/codex-rs/models-manager/models.json#L55
Are AI chatbots doing okay?
Edited 167d ago
Re: https://infosec.exchange/users/lcamtuf/statuses/116901998490591428
There's an emerging theme in my last few posts today concerning means vs. ends. Science as a production process that spits out knowledge products. Writing as the necessary chore sitting between a person and "having another blog post" or "citation count go up".
Overfocus on the ends can lead one to think of the means as chores. Science is slow and boring, let's use AI to spit out the Good Science Stuff faster. Writing is a chore, let's use the AI to spit out Documents. Heck let's chain them together and have the machine do Good Science Stuff and then spit out Documents about it that we feed back into the machine and hey we can send the Documents to Funding Agencies to get Funding for our Good Science Stuff and spit out even more Documents so that...and...to...so...[infinite random string]. Wait what were we doing again?
Personally I think it's poisonous to focus mostly on ends. The absurdity is a clue. If I believed in souls I'd say it's bad for them. I guess I find the mindset confusing because long ago I came to think that the means are the ends. There are no other ends but the means.
Yes, I well understand there are certain kinds of mandated writing that are tedious and unwanted.
#AI #GenAI #GenerativeAI #LLMs #writing
I don't find it surprising that people send LLM-generated docs, publish LLM-generated blog posts, etc. Writing is a chore and there's this big button labeled "get it done".Writing can be many things, but a chore? That's not something I entirely understand. I don't mean to sound like I'm hollering at this single point from this person's post, but it's a sentiment I've seen expressed before and this was a convenient example (and what I say next is in the spirit of and amplifies the further point they make!)
There's an emerging theme in my last few posts today concerning means vs. ends. Science as a production process that spits out knowledge products. Writing as the necessary chore sitting between a person and "having another blog post" or "citation count go up".
Overfocus on the ends can lead one to think of the means as chores. Science is slow and boring, let's use AI to spit out the Good Science Stuff faster. Writing is a chore, let's use the AI to spit out Documents. Heck let's chain them together and have the machine do Good Science Stuff and then spit out Documents about it that we feed back into the machine and hey we can send the Documents to Funding Agencies to get Funding for our Good Science Stuff and spit out even more Documents so that...and...to...so...[infinite random string]. Wait what were we doing again?
Personally I think it's poisonous to focus mostly on ends. The absurdity is a clue. If I believed in souls I'd say it's bad for them. I guess I find the mindset confusing because long ago I came to think that the means are the ends. There are no other ends but the means.
Yes, I well understand there are certain kinds of mandated writing that are tedious and unwanted.
#AI #GenAI #GenerativeAI #LLMs #writing
Edited 93d ago
Should you boycott generative AI? But what if your hyped-up boss starts pressuring you?
Worry not, there’s a middle ground.
A tech worker shares their manifesto for responsible agentic AI coding: https://www.techwerkers.nl/en/posts/manifesto-responsible-agentic-coding/
KIMI K3 刚刚发布
现在 KIMI 网页端现在的模型选择菜单，有三个选项：K3 · Max，擅长对话与 Agent 任务，全能旗舰；K3 集群 · Max，海量搜索、批量处理，一次完成更多；K2.6 · Fast，快速对话，即时响应。对话长度有标准和超长两个选项，超长对话仅 Allegro 及以上订阅会员可用，支持百万 Tokens，消耗额度更快
我们在 GTA 6 发布之前得到了 6 亿个国产开源大语言模型
"While Buckmaster and Alpöge were finalizing their own results, they learned that “information about our progress had been passed to OpenAI.” When they contacted OpenAI, they were told that OpenAI had already achieved a full proof of the central problem. But when they asked follow-up questions about when OpenAI had begun its research into the problem and how much human input was involved, the answers became more evasive.
“It emerged that an entire team had been working on the problem,” Buckmaster said, “and that an insane amount of compute had been used…. Eventually, it was agreed that [the first prompt] had been sent in the past few days, after information about our work had reached OpenAI.”
If true, that would suggest the OpenAI team had become convinced that Buckmaster and Alpöge’s approach was the right one, and decided to use its material advantage in computing resources to reach a formal proof first."
#AI #GenerativeAI #LLMs #OpenAI #Astra #GPT #Math #Mathematics
We #editors must stay informed about the impacts of #LLMs on #book #publishing & #science publishing. In this post on the blog of The Quad (a #MastermindGroup since 2015), I outline trends and provide you with resources for keeping up to date. #AI https://quadlings.com/how-llms-are-changing-book-and-science-publishing/
The Segway is here to stay, you know! Once someone invents something, the cat's out of the bag! Oh you don't use a Segway? Watch out, or this amazing new technology will leave you (slightly) behind! You'd better invest now you know! This technology is poised to revolutionize personal transportation! If you don't get in early, you'll never catch up and make the big bucks (unless you can manage a brisk jog or have a car or something). I don't know what they're teaching in PE these days, but they definitely need to start teaching how to ride a Segway! It's completely intuitive, you see! Should athletes be allowed to ride Segways around the track instead of running laps? Of course! After all, sports are already starting to shift to Segway leagues. These things *are* the future! They're totally safe,* even around cliffs!
*Remember to always wear your helmet when riding, and be prepared to land on your feet like a cat if user error results in an unexpected temporary levitation event. Segway, inc. is not liable for damages caused by failure to deploy superhuman reflexes at a moment's notice.
This post contains some hyperbole, but not a much as you might think. For the curious: https://en.wikipedia.org/wiki/Segway#History
Stanford researchers weigh AI applications in education, science https://www.byteseu.com/2390637/ #AI #AIForScience #AIInEducation #AIInHealthcare #AiModel #chatbot #ChatGPT #Claude #GregoryWilson #Healthcare #JamesZou #LLMs #MachineLearning #Research #Science #SiliconValley #StanfordAiTinkery
Re: https://mastodon.social/users/tzimmer_history/statuses/117360217969296466
While the linked post's/article's warning is specifically about the upcoming US midterm elections, I think its reasoning is more broadly applicable. Observing that current AI dovetails perfectly with the MAGA political project, it applies also to the rhetoric about the inevitability of AI. That, too, stems from a limitless authoritarian impulse and represents an attempt to impose a particular will on all of us. The various forms of defeatism accompanying such rhetoric, which includes the different flavors of AI doomerism, serve only to help such authoritarians achieve their goals.
This view also highlights that there is no middle ground, no compromise, with LLM proponents. Like MAGA, they have no limits themselves, which they repeatedly express openly. How could they possibly compromise?
#AI #GenAI #GenerativeAI #LLMs #Agents #Anthropic #OpenAI #MAGA #doom #tech #dev
While the linked post's/article's warning is specifically about the upcoming US midterm elections, I think its reasoning is more broadly applicable. Observing that current AI dovetails perfectly with the MAGA political project, it applies also to the rhetoric about the inevitability of AI. That, too, stems from a limitless authoritarian impulse and represents an attempt to impose a particular will on all of us. The various forms of defeatism accompanying such rhetoric, which includes the different flavors of AI doomerism, serve only to help such authoritarians achieve their goals.
This view also highlights that there is no middle ground, no compromise, with LLM proponents. Like MAGA, they have no limits themselves, which they repeatedly express openly. How could they possibly compromise?
#AI #GenAI #GenerativeAI #LLMs #Agents #Anthropic #OpenAI #MAGA #doom #tech #dev
Edited 12d ago