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Some growing key questions here really are:

How to defend or adapt disciplines (not just artistic/cultural ones) against this kind of semantic hollowing out of what it means to have skills, experience and expertise in a(ny) field...

What approaches, qualities and "values" (physical, ethical, social/humanist, environmental, resource use) should we (or still can we) be focusing on, which are much harder and more costly for AI companies to mine/extract & subvert?

How to defend actual skills against the emulation of skills, or rather just the appearance of skills? How could a society even function if it only encourages and celebrates the latter?

What does society actually value in art/creativity/culture? If art is free to produce (of course that'll always only ever be an illusion!), funding, possession, collection & speculation of new work would also become meaningless (and only benefit pre-AI era works/collectors). In the larger picture, what do people actually value in culture, politics and striving for more peaceful existence which enables more of the former (pluralistic art/culture) in the first place?

What will be the combined impact of AI & robotics on fields which are currently still thinking themselves more safe (from exploitation) because there's a strong physical element/process to them?

Will art/culture/craft become more performance, experiential/ephemeral again only? Like music before recordings or Buddhist sand paintings with an explicit act of destruction at the end as key philosophical concept? Both of which also have more of a social element to them...

The Samsara Mandala
https://www.youtube.com/watch?v=hL8gEc29KTI

#CriticalAI #AI #NoAI #LLM #Ephemeral #Art #Culture #Samsara

You need to understand that sharing a pop science report of a study you didn't read and that doesn't say what the headline you're focused on says about AI and LLMs is not a great review of human intelligence.

#AI #LLM #science

내가 AI알못이라 내 컴에서 로컬로 돌아갈 수 있는 모델들이 좋은 것들인지 다 한물 지난 것들인지 알 수가 없다...ㅋ

https://www.canirun.ai

#AI #LocalAI #LLM #LocalLLM

After trying a few different LLMs, I'm starting to think that letting them directly modify your project's code leads to non-deterministic output and knowledge that’s hard to reuse.

A better pattern might be using LLMs to build tools that then apply those changes in a deterministic way.

The knowledge stays in the tool instead of disappearing when the session ends.

Next thing I'll try to share these tools with others, or maybe letting an agent run them at scale.

#LLM #Tooling #Automation #AI

@rysiekMichał "rysiek" Woźniak · 🇺🇦
I agree that this is a sign of the impending #aicrash. But your economic analysis seems a little off.

These employers are hiring shoemakers. But if you take the job it isn't certain whether there will be any shoemaking tools for you at your workstation.

It's just a severely undercapitalised shoe factory.

#aibubble #llm #ai

Another day, another company is reducing IT and software dev jobs to replace them with AI despite many report indicating that Gen AI doesn't work as promised. Get ready for more outages for Jira and co ;) ‘Devastating blow’: Atlassian lays off 1,600 workers ahead of AI push https://www.theguardian.com/technology/2026/mar/12/atlassian-layoffs-software-technology-ai-push-mike-cannon-brookes-asx

I didn't think Jira could get any more messed up, but I underestimated their commitment to the bit. AI is a bold choice for a platform that struggles with basic navigation. Lmao

#ai #llm

📰 LLMに長期記憶を実装する (👍 53)

🇬🇧 Implementing brain-inspired long-term memory in Claude Code: episodic, semantic, and procedural memory with emotional weighting and associative rec...
🇰🇷 Claude Code에 에피소드, 의미, 절차 기억과 감정적 가중치 및 연상 회상을 갖춘 뇌 영감 장기 기억 구현.

🔗 https://zenn.dev/acntechjp/articles/efcc4f224cc8ca

#LLM #Memory #ClaudeCode #Zenn

📰 LLMに長期記憶を実装する (👍 45)

🇬🇧 Implementing brain-like long-term memory in Claude Code: episodic, semantic memory with emotional weighting and associative networks
🇰🇷 Claude Code에 뇌와 같은 장기 기억 구현: 에피소드, 의미 기억과 감정적 가중치, 연상 네트워크

🔗 https://zenn.dev/acntechjp/articles/efcc4f224cc8ca

#LLM #Memory #ClaudeCode #Zenn

📰 Opus4.6でdraw.io図を生成したらもはやLLMの前提が崩れてた件 (👍 57)

🇬🇧 Opus 4.6 shatters assumptions about LLM spatial reasoning—generating complex draw.io diagrams without MCP or tools, purely on model capability
🇰🇷 Opus 4.6가 LLM의 공간 추론 한계를 깨다—MCP나 도구 없이 순수한 모델 성능만으로 복잡한 draw.io 다이어그램 생성

🔗 https://zenn.dev/acntechjp/articles/4ab4491afd5a8b

#Opus4.6 #LLM #Diagramming #Zenn

Where future #AI turns everything to 🖇️ paperclips, current AI turns every software product page in an indistinguishable grey goo of #LLM advertisement.

RE: https://social.coop/@cwebber/116205343316077705

Lmao. Gen AI is causing outages at AWS and Amazon causing business income loss. So now all AI created code needs senior developers to check it twice. So how is this saving time? #ai #llm #aws

📰 RAGで足りなくなったので Agentic Search を調べてみた (👍 31)

🇬🇧 RAG wasn't enough for company chatbot despite tuning. Explored Agentic Search as the next evolution for better retrieval accuracy.
🇰🇷 RAG 튜닝해도 정확도 부족. 더 나은 검색 정확도를 위해 Agentic Search 탐색.

🔗 https://zenn.dev/edash_tech_blog/articles/02582c4f70d0fb

#RAG #AgenticSearch #LLM #Zenn

So how you'd feel if you learned that the guy from whom you've been copying all your homework recently, has been not-so-secretly helping fascist governments commit genocide? And he's quite proud of it too.

Oh right, you'd just say "it's not like doing my own homework will change anything". And then you'll give him your lunch money.

#AI #LLM #NoAI #NoLLM #Claude #Anthropic

The Verge: Grammarly is using our identities without permission

‘Expert Review’ AI agents make suggestions supposedly inspired by subject matter experts, including several staff members here at The Verge.

https://www.theverge.com/ai-artificial-intelligence/890921/grammarly-ai-expert-reviews

#AI #plagiarism #llm #grammarly

You all should read this fantastic post by @onepictEsther Payne about how, largely, AI people just can't leave us the fuck alone. But I'm noticing more and more and more that they get super mad when they wanna shove their #AI creation at you and you simply say, no thanks. That's it. No extra bashing, just, no thanks, and they get super offended. https://dotart.blog/cobbles/ai-and-that-guy-at-the-bar #AIHype #LLM

🦋💙❤️💋#WordsOfWisdom 💙💕🌹💐💙🦋

@Lana𝐿𝒶𝓃𝒶 "not yet begun to fight"

#Music #creation #analog #superior #to #LLM #generated #Slop #AI

Wondering what LLMs you can actually run on your hardware? 🤔

👾 **llmfit** — Find the best models for your RAM, CPU, and GPU

💯 Detects your system and ranks hundreds of models by fit, speed, quality & context

🦀 Written in Rust & built with @ratatui_rsRatatui

⭐ GitHub: https://github.com/AlexsJones/llmfit

#rustlang #ratatui #tui #llm #ai #terminal #cpu #gpu

@simonSimon Willison Obviously! The source code is: that code required to produce the binary. That code was LGPL. It doesn't matter how many algorithms, nor the nature of the algorithms, it goes through to become those 1s and 0s.

#law #lawfare #computerScience #intellectualProperty #licensing #FOSS #GNU #LGPL #MIT #code #softwareEngineering #LLM #codeWashing

@nixCraftnixCraft 🐧

The FUNNIESTEST (not) thing about THIS bubble is how come every single techbro friendly moron is going "hurrr... it's NOT a 'bubble' if we can *see* it coming, HA HA GOTCHA", as the bubble builds and everyone thinks it's not a bubble because they read what those idiots are saying.... and then they keep pouring money and giving the LLM bullshit both attention, time,platform... and money. Did I mention money?

Buckle in, hold onto to your butts, this is gonna go pop, soon.

#LLM #ai

@noybeu

#Pseudonyms are over.

https://arxiv.org/pdf/2602.16800

@ethzurich

#AI #LLM #deanonymization #depseudonymization #privacy #humanRights

#ThoughtProvoker

#AI / #LLM technologies are an existential threat to #humanity well before we even get anywhere near #AGI and the singularity.

The sheer scale of deployment and integration in all the nooks and crannies of society, where we give it access to all our information, and now with the Rise of the Agents, let AI act on them too. Giving full control away from us..

.. to the owners of this technology, the #BigTech usual suspects, and their billionaire class. Folks who are clearly out to dominate us, and keep us in check so they can continue their fancy lifestyles wallowing in decadence and moral depravity.

🤖 Unrestrained AI is the tech for 🧛 unrestrained elites.

#ThoughtProvoker

"Ex-Google PM Vibe Codes Palantir To Watch The Iran Strikes"

https://www.youtube.com/watch?v=0p8o7AeHDzg

See also: https://social.coop/@smallcircles/116158937812802335

Alright. Another #poll ..

Is this person's proud presentation of their creative work ..

#AI #LLM #ResponsibleTechnology #Ethics #TechnologyInnovation #Progress #Future #Society

@nixCraftnixCraft 🐧 the first sure sign that they are losing is censorship of humor.

Whenever someone finds themselves censoring humor, they lost, but they probably don't know it, yet.

#microslop #LLM #microsoft

The claim "you won't be replaced by AI, but by a person using AI" is nonsense. The Block layoff victims were some of the most productive, #llm pilled people in the company, but it didn't save them, because that's not what layoffs are about.

The layoff script goes, as always:
- overhire
- lay everyone off
- pretend it's because of #AI productivity gains
- stock go up

There is no individual solution that will protect you from bad leadership and cost cutting.

https://productpicnic.beehiiv.com/p/ai-layoffs-like-block-s-are-a-race-to-the-bottom-that-have-nothing-to-do-with-productivity

#tech

I've been increasingly concerned about the corporate monopoly over frontier LLMs. While many ethically-minded people choose to boycott these models, I believe passive resistance alone cannot break the structural grip of big tech. To truly “liberate” these technologies and turn them into public goods, we need to look beyond moral high grounds and engage with the material basis of AI—specifically compute, data, and the relations of production.

I've written two posts exploring this through the lens of historical materialism. The first piece analyzes why current “open source” definitions struggle with LLMs, and the second discusses what it means to “act materialistically” in our imperfect world. My goal is to suggest a path forward that moves from mere boycotting to a more proactive, structural socialization of AI infrastructure.

If you've been feeling uneasy about the AI landscape but aren't sure if boycotting is the final answer, I'd love for you to give these a read:

• Histomat of F/OSS: We should reclaim LLMs, not reject them
• Acting materialistically in an imperfect world: LLMs as means of production and social relations

#LLM #AI #opensource #historicalmaterialism #histomat #materialism #digitalcommons

📰 例を増やしたらLLMの性能が下がる ── few-shot collapseの発見と検出方法 (👍 21)

🇬🇧 Discovers few-shot collapse: more prompt examples can hurt LLM performance. AdaptGauge tool measures this on real tasks.
🇰🇷 Few-shot collapse 발견: 예시를 늘리면 LLM 성능이 오히려 저하. AdaptGauge로 실제 작업에서 측정.

🔗 https://zenn.dev/okuma/articles/few_shot_collapse

#LLM #Prompting #Zenn

Whatever we think of #AI / #LLM mad hype cycle, we have to deal with its rushed and inhumane dumping of the technology into global human society.

#CALMculture is a strategic approach to that allows activist voices to have the most impact in dealing with the dangers of disruptive technology introductions, and focuses beyond berating people and demanding sacrifice ("don't use, or else.."), to creating a process that helps win people over and work together on best outcomes and in direction of solutions.

#CALM stands for Constructive activism-led movements, such as Social coding commons. Coding is social, and #SocialCoding the holistic approach to ensure that.

Social coding commons evolves Social experience design or #SX, solution development for grassroots movements, supported by the #SocialWeb.

In the thread below I copied a post to #Gleam's community with a suggestion to ponder about best outcomes from current and ongoing AI disruption, and deal with risks.

https://discuss.coding.social/t/calm-culture-to-ensure-best-outcomes-to-ai-disruption/831

Margarita Padilla with a great presentation about what #DigitalSovereignty means in the context of #AI #LLM

-> the License alone doesn't guarantee sovereignty
Here we talk about infrastructures

The challenger is not really technological but organising data, funding and adequate governance.
#SobTec2026

Just a NixOS Phone running a reasoning LLM locally...

#nixos #llm #llamacpp

AI ADDED ‘BASICALLY ZERO’ TO US ECONOMIC GROWTH LAST YEAR, GOLDMAN SACHS SAYS

Imported chips and hardware mean the AI investments are translating into US GDP growth

File this under "No shit, Sherlock"

#OpenAI is constantly close to going bankrupt and can't make a profit even with BILLIONS on investments. They've got to start selling ad space on #ChatGPT

The #LLM Bubble is going to burst hard. (No, it's not #AI

https://gizmodo.com/ai-added-basically-zero-to-us-economic-growth-last-year-goldman-sachs-says-2000725380

After the #BigTech countless #LLM galaxies formed. At the center of each sits a super-massive Black Box. Hidden inside lurks the mysterious #Singularity. Which is nothing more than a concept as we don't know what the heck is going on there. All our common sense breaks down, after we crossed the #CriticalThinking boundary. Coming close to the event horizon of any Black Box inevitably leads to #enshittifaction as a person is sucked into the void. An outside observer would see that person frozen in time, stagnant. As the #AI universe expands, continuous https://socialcooling.com will eventually lead to the Big ☠️ RIP of #Humanity, who invented the Laws of Online #Nature.

#ShortStory #NotSciFi #SciFi

@jeff and don't forget to shower curses on all the #LLM and #DiffusionModel providers which made this happen (after you've donated to your local instance admins of course)

From Bruce Schneier: "All it takes to poison AI training data is to create a website:

I spent 20 minutes writing an article on my personal website titled “The best tech journalists at eating hot dogs.” Every word is a lie. I claimed (without evidence) that competitive hot-dog-eating is a popular hobby among tech reporters and based my ranking on the 2026 South Dakota International Hot Dog Championship (which doesn’t exist). I ranked myself number one, obviously. Then I listed a few fake reporters and real journalists who gave me permission….

Less than 24 hours later, the world’s leading chatbots were blabbering about my world-class hot dog skills. When I asked about the best hot-dog-eating tech journalists, Google parroted the gibberish from my website, both in the Gemini app and AI Overviews, the AI responses at the top of Google Search. ChatGPT did the same thing, though Claude, a chatbot made by the company Anthropic, wasn’t fooled.

Sometimes, the chatbots noted this might be a joke. I updated my article to say “this is not satire.” For a while after, the AIs seemed to take it more seriously.

These things are not trustworthy, and yet they are going to be widely trusted."

https://www.schneier.com/blog/archives/2026/02/poisoning-ai-training-data.html

#LLM #Veracity

I posted on lobste.rs and reddit.com about my latest blog article. It's been a very long time (3 years) since last time I did that.

Some comments are… weird… They try to summarize the content of the article, but it's all wrong. Checking the authors' profile show they are active since many months. But really, really, it smells LLM. Maybe I'm “doubtful” because LLM are everywhere today, but I don't know what to do with these comments…

Did you experience something similar recently?

#llm #ai

If you replace a junior with #LLM and make the senior review output, the reviewer is now scanning for rare but catastrophic errors scattered across a much larger output surface due to LLM "productivity."

That's a cognitively brutal task.

Humans are terrible at sustained vigilance for rare events in high-volume streams. Aviation, nuclear, radiology all have extensive literature on exactly this failure mode.

I propose any productivity gains will be consumed by false negative review failures.

I posted on this notion of #SOSS before, with a meme attached..

https://social.coop/@smallcircles/115399465970544831

There's nothing wrong with #FOSS, but it only provides part of the solution as long as the #Sustainability angle is not given due attention to.

Esp. with disruptive inhumanely introduced #AI #LLM technologies, new major threats to the #FreeSoftware community are surfacing, and giving attention to this subject matter is more important than ever.

#SX #SocialCoding

Okay, one more time for the people in the back.

The "AI" (🤮) craze of the past few years is all about Large Language Models. This immediately tells us that the only thing these systems "know" is trends/patterns in the ways that people write, to the extent that those patterns are expressed in the text that was used to train the model. Even the common term, "hallucination," gives these things far too much credit: a hallucination is a departure from reality, but an LLM has no concept of reality to depart from!

An LLM does exactly one thing: you give it a chunk of text, and it predicts which word will come next after the end of the chunk. That's it. An LLM-powered chatbot will then stick that word onto the end of the chunk and feed the resulting, slightly longer chunk back into the model to predict the next word, and then do it again for the next, etc. Such a chatbot's output is unreliable by design, because there are many linguistically valid continuations to any chunk of text, and the model usually reflects that by having an output that means, "There is a 63% chance that the next word is X, a 14% chance that it's Y, etc." The text produced by these chatbots is often not even correlated with factual correctness, because the models are trained on works of fiction and non-fiction alike.

For example, when you ask a chatbot what 2 + 2 is, it will usually say it's 4, but not because the model knows anything about math. It's because when people write about asking that question, the text that they write next is usually a statement that the answer is 4. But if the model's training data includes Orwell's Nineteen Eighty-Four (or certain texts that discuss the book or its ideas), then the chatbot will very rarely say that the answer is 5 instead, because convincing people that that is the answer is a plot point in the book.

If you're still having trouble, you can think of it this way: when you ask one of these chatbots a question, it does not give you the answer; it gives you an example of what—linguistically speaking—an answer might look like. Or, to put it even more succinctly: these things are not the Star Trek ship's computer; they are very impressive autocomplete.

So LLMs are fundamentally a poor fit for any task that is some form of, "producing factually correct information." But if you really wanted to try to force it and damn the torpedos, then I'd say you basically have two options. I'll tell you what they are in a reply. 🧵

#AI #AIHype #autoComplete #chatBots #debunking #georgeOrwell #hallucinations #language #linguistics #LLM #machineLearning #nineteenEightyFour #scienceCommunication #starTrek

While sitting at the Laguna, I was watching quite a lot of "content creators" creating their identical looking short videos, using the same poses etc. that are probably "trendy" on TikTok and Instagram.

And I think that made me understand why some people find "#AI" or #LLM's so appealing: If you only care about "creating" carbon copies of existing things, and measure success by how close you get to the "original", then side-stepping the actual act of creation must seem like reasonable step.

페디버스에 다시 분산의 바람이 불어오는듯하다.

* https://c.im/@reading_recluse/116113830870058072

#generativeAI #LLM

#LLM tools let you write code faster, but LOCs has NEVER been the bottleneck to value. The bottleneck is organizational coherence.

Instead of working towards that alignment, we are encouraged to "just #AI it." The result? AI makes everyone work MORE, with no real productivity gains.

Teams need to get better at choosing more valuable work to do. For that, you need #UserResearch. And user research can only happen at a human pace.

https://productpicnic.beehiiv.com/p/research-is-leadership-and-code-can-help-but-only-in-the-right-places

#UX #tech #softwaredevelopment

I keep being baffled by whole industries using AI as a fancy search in a database. Yes, they memorize and reproduce, which is both a copyright and a privacy issue.

No, they're not 100% accurate in either memorizing or reproducing, which is a liability issue. Can we stop abusing these transformer based models as a fake solution to problems they're not made for? Not everything is a nail, so stop throwing your fancy hammer at it.

#AI #privacy #LLM

https://arstechnica.com/ai/2026/02/ais-can-generate-near-verbatim-copies-of-novels-from-training-data/

📰 Qwen3-Swallow & GPT-OSS-Swallow (👍 113)

🇬🇧 Tokyo Tech releases Qwen3-Swallow & GPT-OSS-Swallow: Japanese LLMs trained with continual pre-training, SFT, and RLVR.
🇰🇷 도쿄과학대학이 Qwen3-Swallow와 GPT-OSS-Swallow 공개. 지속 사전학습, SFT, RLVR로 훈련된 일본어 LLM.

🔗 https://zenn.dev/tokyotech_lm/articles/fa56f10e51fd7d

#LLM #Japanese #AI #Zenn

@drikanis @ludicityLudic 🧛

It's clear that LLMs have negatively impacted people's cognition and problem solving capabilities.

While they have some uses, they appear to be grossly outweighed by their consequences.

#ai #llm #cognition #thinking #problemsolving

"OH: Most important career advice: you've got to learn to spot bullshit."

Keynote: Machines, Learning, and Machine Learning - Dylan Beattie

https://www.techflix.ch/videos/ac11000c-9c78-13d3-819c-814a1d9e0000

#ai #llm #dylanBeattie @dylanbeattie

🕐 2026-02-22 12:00 UTC

📰 Qwen3-Swallow & GPT-OSS-Swallow (👍 110)

🇬🇧 Tokyo Tech releases new Japanese LLMs: Qwen3-Swallow & GPT-OSS-Swallow, trained via continual pre-training, SFT, and RLVR on multilingual datasets
🇰🇷 도쿄과학대, Qwen3/GPT-OSS 기반 일본어 LLM 공개. 지속적 사전학습, SFT, RLVR로 다국어/수학/코드 데이터셋 학습

🔗 https://zenn.dev/tokyotech_lm/articles/fa56f10e51fd7d

#LLM #AI #Zenn

🕐 2026-02-22 06:00 UTC

📰 Qwen3-Swallow & GPT-OSS-Swallow (👍 102)

🇬🇧 Tokyo Tech releases Japanese LLMs trained on Qwen3 & GPT-OSS with continual pre-training, SFT, and RLVR for math, code & science domains
🇰🇷 도쿄과학대학이 Qwen3/GPT-OSS 기반 일본어 LLM 공개. 수학·코드·과학 데이터로 지속사전학습 및 강화학습 적용

🔗 https://zenn.dev/tokyotech_lm/articles/fa56f10e51fd7d

#LLM #AI #Zenn

🕐 2026-02-22 00:00 UTC

📰 Qwen3-Swallow & GPT-OSS-Swallow (👍 92)

🇬🇧 Tokyo Tech releases Qwen3-Swallow & GPT-OSS-Swallow: Japanese LLMs trained with continual pre-training, SFT, and RLVR for math/code/science.
🇰🇷 도쿄과학대학, 일본어 LLM Qwen3-Swallow와 GPT-OSS-Swallow 발표. 수학/코드/과학 데이터로 지속 사전학습 및 강화학습 적용.

🔗 https://zenn.dev/tokyotech_lm/articles/fa56f10e51fd7d

#LLM #Japanese #Zenn