Understanding Neural Network, Visually…
https://visualrambling.space/neural-network
#tech #technology #science #math #MachineLearning #ML #BigTech #AI #ArtificialIntelligence #LLM #LLMs #MachineLearning #GenAI #generativeAI #Meta #Google #NVIDIA #gemini #OpenAI #ChatGPT #anthropic #claude
Understanding Neural Network, Visually…
https://visualrambling.space/neural-network
#tech #technology #science #math #MachineLearning #ML #BigTech #AI #ArtificialIntelligence #LLM #LLMs #MachineLearning #GenAI #generativeAI #Meta #Google #NVIDIA #gemini #OpenAI #ChatGPT #anthropic #claude
RE: https://mastodon.social/@Sie/116023055885692531
More spicy death wiring instructions!
Inspired by the last thread and @tautology , I actually went and asked #Bing how to wire #Yorkshire plugs, combining both ideas.
#MicrosoftCoPilot first suggested that I ask it about the differences between Yorkshire and U.K. plugs. So I did that. MS CoPilot in response confidently and authoritatively bullshitted me that 'Yorkshire plugs' are a name for older #BS546 electrical plugs.
Champion! (-:
Joking aside: It's the medical doctors who trust this stuff, which I've actually seen happen, that are scarier.
Whenever I see OpenAI's Sam Altman with his pseudo-innocent glance, he always reminds me of Carter Burke from Aliens (1986), who deceived the entire spaceship crew in favor of his corporation, with the aim of getting rich by weaponizing a newly discovered intelligent lifeform.
#AI#ArtificialIntelligence #aliens #alien#MachineLearning#ML#DeepLearning#LLM #LLMs#GenerativeAI#OpenAI#Microsoft
RE: https://cyberplace.social/@GossiTheDog/116011754710793421
Microsoft Research has similar studies. Using AI assistants hinders your acquisition of skills and is not even improving productivity. Surely we just have to do more of it, right?
That, coupled with the impending knowledge collapse that #AI is creating & that almost nobody (save for folks active in that space) is talking about, is creating a turning point (read: an absolute clusterf*ck) in terms of how we do work, how we engage, and how we treat knowledge.
And I don't think society on the whole is ready to deal with those effects.
https://dev.to/dannwaneri/were-creating-a-knowledge-collapse-and-no-ones-talking-about-it-226d
"I cancelled my #Claudecode subscription. I have a tendency to fixate on things and overdo it. Most of the time I can manage and keep things mostly under control, but this has the potential to do #realdamage. Worst of all, I wouldn't have anything to show for it at the end. #Codingagents have a way to turn your brain off: no learning, no big picture, just #prompting until it does your bidding. If I ever need such a tool, I'll run it locally with one of the open-source coding models. I'll use #LLMs for code like people use Shein for clothes. They both have terrible impact on communities and the environment, the comparison seemed fitting."
"I cancelled my #Claudecode subscription. I have a tendency to fixate on things and overdo it. Most of the time I can manage and keep things mostly under control, but this has the potential to do #realdamage. Worst of all, I wouldn't have anything to show for it at the end. #Codingagents have a way to turn your brain off: no learning, no big picture, just #prompting until it does your bidding. If I ever need such a tool, I'll run it locally with one of the open-source coding models. I'll use #LLMs for code like people use Shein for clothes. They both have terrible impact on communities and the environment, the comparison seemed fitting."
Just read https://arxiv.org/abs/2601.15494. #AI agents boost productivity by remixing #OSS, but weaken the human feedback loops that sustain it. Feels analogous to how ideas are now consumed through #LLMs instead of directly from source
This is an abomination of a #Rust code base (not sure if you can even call it that).
https://github.com/vjeux/pokemon-showdown-rs
It's pure vibe-coded slop. I've always wondered what it would look like. Now I know, thanks.
Here's the accompanying article by the "author":
The article is quite funny, because you can't really tell if the author is actually serious or just trolling.
Nos complace traeros, en esta nueva entrega de #KDEexpress, una entrevista con @lauramcastro integrante de #GPUL, #CEXEF (entre otras muchas cosas) y ponente en @eslibre de la charla titulada:
"Psicología inversa" de los grandes modelos de lenguaje
Notas y enlaces en:
https://kdeexpress.gitlab.io/posts/kdeexpress/66-kde-express/
Gracias Laura por traernos al podcast estos temas que no solemos abordar tanto como quisiéramos, esperamos repetir.
#esLibre #esLibre2026 #LLMs #Psicología #Sociología #ChatGPT #Gemini #Claude #Mistral
esLibre2026 Laura M. Castro - "Psicología inversa" de los grandes modelos de lenguaje
Nos complace traeros, en esta nueva entrega de #KDEexpress, una entrevista con @lauramcastro integrante de #GPUL, #CEXEF (entre otras muchas cosas) y ponente en @eslibre de la charla titulada:
"Psicología inversa" de los grandes modelos de lenguaje
Notas y enlaces en:
https://kdeexpress.gitlab.io/posts/kdeexpress/66-kde-express/
Gracias Laura por traernos al podcast estos temas que no solemos abordar tanto como quisiéramos, esperamos repetir.
#esLibre #esLibre2026 #LLMs #Psicología #Sociología #ChatGPT #Gemini #Claude #Mistral
esLibre2026 Laura M. Castro - "Psicología inversa" de los grandes modelos de lenguaje
A thought I had this morning - what will be the impact of #AI and #LLMs on open-source software? The OSS model thrived on collaboration, but I see that empowered by tools like #ClaudeCode many devs now prefer to build one-off tools tailored specifically to their preferences.
Basically, I'm wondering whether devs will lose some of their motivation to contribute to existing projects if they can fairly easily build something similar themselves. Think of the "not invented here" syndrome, OSS edition.
Of course, one can also make the argument that now it's much easier to contribute to existing OSS projects without having to develop deep knowledge in them. Perhaps some projects have benefited from this, but I haven't seen an influx of (AI-generated) contributions to any of my projects. Then again, I haven't seen an LLM that handles #Emacs Lisp very well. :D
What do you think?
A thought I had this morning - what will be the impact of #AI and #LLMs on open-source software? The OSS model thrived on collaboration, but I see that empowered by tools like #ClaudeCode many devs now prefer to build one-off tools tailored specifically to their preferences.
Basically, I'm wondering whether devs will lose some of their motivation to contribute to existing projects if they can fairly easily build something similar themselves. Think of the "not invented here" syndrome, OSS edition.
Of course, one can also make the argument that now it's much easier to contribute to existing OSS projects without having to develop deep knowledge in them. Perhaps some projects have benefited from this, but I haven't seen an influx of (AI-generated) contributions to any of my projects. Then again, I haven't seen an LLM that handles #Emacs Lisp very well. :D
What do you think?
Open Media Network: A Manifesto for the Digital Commons
A cohesive manifesto is needed as the world we inherited is fractured. Wealth, power, and knowledge are concentrated in the hands of the #nastyfew: platform owners, data hoarders, and corporate monopolies who extract value from our work, our attention, and our trust. Democracy has been hollowed out, captured and controlled by algorithms that decide what is knowable, profitable, and even true. Ecology, community, and care are sacrificed on the #deathcult altar of growth and consumption.
In […]
Open Media Network: A Manifesto for the Digital Commons
A cohesive manifesto is needed as the world we inherited is fractured. Wealth, power, and knowledge are concentrated in the hands of the #nastyfew: platform owners, data hoarders, and corporate monopolies who extract value from our work, our attention, and our trust. Democracy has been hollowed out, captured and controlled by algorithms that decide what is knowable, profitable, and even true. Ecology, community, and care are sacrificed on the #deathcult altar of growth and consumption.
In […]
A thought that popped into my head when I woke up at 4 am and couldn’t get back to sleep…
Imagine that AI/LLM tools were being marketed to workers as a way to do the same work more quickly and work fewer hours without telling their employers.
“Use ChatGPT to write your TPS reports, go home at lunchtime. Spend more time with your kids!” “Use Claude to write your code, turn 60-hour weeks into four-day weekends!” “Collect two paychecks by using AI! You can hold two jobs without the boss knowing the difference!”
Imagine if AI/LLM tools were not shareholder catnip, but a grassroots movement of tooling that workers were sharing with each other to work less. Same quality of output, but instead of being pushed top-down, being adopted to empower people to work less and “cheat” employers.
Imagine if unions were arguing for the right of workers to use LLMs as labor saving devices, instead of trying to protect members from their damage.
CEOs would be screaming bloody murder. There’d be an overnight industry in AI-detection tools and immediate bans on AI in the workplace. Instead of Microsoft CoPilot 365, Satya would be out promoting Microsoft SlopGuard - add ons that detect LLM tools running on Windows and prevent AI scrapers from harvesting your company’s valuable content for training.
The media would be running horror stories about the terrible trend of workers getting the same pay for working less, and the awful quality of LLM output. Maybe they’d still call them “hallucinations,” but it’d be in the terrified tone of 80s anti-drug PSAs.
What I’m trying to say in my sleep-deprived state is that you shouldn’t ignore the intent and ill effects of these tools. If they were good for you, shareholders would hate them.
You should understand that they’re anti-worker and anti-human. TPTB would be fighting them tooth and nail if their benefits were reversed. It doesn’t matter how good they get, or how interesting they are: the ultimate purpose of the industry behind them is to create less demand for labor and aggregate more wealth in fewer hands.
Unless you happen to be in a very very small club of ultra-wealthy tech bros, they’re not for you, they’re against you. #AI #LLMs #claude #chatgpt
!["(1) all models perform reasonably well on AND and moderately on OR, and (2) performance collapses on NEITHER/NOR in zero-and few-shot settings, even for the strongest LLMs. ...weaknesses are amplified in the MIXED condition, where different operators appear across options and models must implicitly infer the governing relation. F1 drops to 43–56% for all few-shot models, [but] fine-tuned models achieve 83–93% F1 across all operators, suggesting that the task is learnable with supervision...."
"While LLaMA-3.1-8B achieves 72.2% accuracy on CommonSenseQA, its performance drops sharply on Logical-CommonSenseQA: 72% on AND, 62.2% on OR, 42.7% on MIXED, and only 13.9% on NEITHER/NOR. This discrepancy shows that benchmarks like CommonSenseQA substantially overestimate models’ commonsense reasoning ability by failing to test relational and compositional plausibility judgments."](https://nerdculture.de/system/media_attachments/files/116/017/952/449/317/425/original/59536a782425eaae.png)
!["To provide nursing educators and students with accurate and efficient AI-powered support, the EBN-Expert system was developed using Coze, a low-code platform that enables the creation of intelligent conversational agents through graphical interfaces and modular components, requiring minimal manual programming. ... This design supports ...metacognitive processes such as structured reflection [via] built-in integration tools [that] connect to: OpenAI’s text-embedding-ada-002 model for vectorization; Pinecone for semantic search; Bing and Baidu application programming interfaces (APIs) for web retrieval; Deepseek-R1 for language generation. ... The overall reasoning workflow, illustrating how these components operate in sequence, is visualized in Fig. 1."](https://nerdculture.de/system/media_attachments/files/115/967/175/262/429/750/original/e56f41437d3bf2e0.png)
