Du gehst davon aus das diese Unternehmen noch echte Pressesprecher haben?
Ich kenne Unternehmen da wird das dank #llm nur noch nebenbei gemacht.
Von jemandem der gerade Zeit hat.
Du gehst davon aus das diese Unternehmen noch echte Pressesprecher haben?
Ich kenne Unternehmen da wird das dank #llm nur noch nebenbei gemacht.
Von jemandem der gerade Zeit hat.
#LLM proponents are disproportionately male, while critics or people who take a more sceptical stance do tend to be, in aggregate, more female and less binary in #gender on the whole. Sometimes this is innocuous, but other times it leads to things like Kat Marchin being driven off the internet thanks to relentless death threats over the Openslopware project. The point is that there's a noticeable asymmetry in the people who are for the use of coding agents as opposed to those who have a warier attitude to the tech, and that this asymmetry isn't exactly innocuous.
- Iris Meredith, The problem is culture https://deadsimpletech.com/blog/the_problem_is_culture
The problem is culture | deadSimpleTech
#AI is neither artificial nor intelligent. Rather, artificial intelligence is both embodied and material, made from natural resources, fuel, human labor, infrastructures, logistics, histories, and classifications.
- Kate Crawford, Atlas of AI
#LLM proponents are disproportionately male, while critics or people who take a more sceptical stance do tend to be, in aggregate, more female and less binary in #gender on the whole. Sometimes this is innocuous, but other times it leads to things like Kat Marchin being driven off the internet thanks to relentless death threats over the Openslopware project. The point is that there's a noticeable asymmetry in the people who are for the use of coding agents as opposed to those who have a warier attitude to the tech, and that this asymmetry isn't exactly innocuous.
- Iris Meredith, The problem is culture https://deadsimpletech.com/blog/the_problem_is_culture
The problem is culture | deadSimpleTech
RE: https://mastodon.uno/@quinta/115968490458982390
Lo dico da tempo.
Bravo Quinta: pensaci tu che a me ascolterebbero in pochi 😅
Chinese AI models are popular. But can they make money? – The Economist https://blog.quintarelli.it/2026/01/chinese-ai-models-are-popular-but-can-they-make-money-the-economist/
It's almost Febuary!
RE: https://mastodon.uno/@quinta/115968490458982390
Lo dico da tempo.
Bravo Quinta: pensaci tu che a me ascolterebbero in pochi 😅
Chinese AI models are popular. But can they make money? – The Economist https://blog.quintarelli.it/2026/01/chinese-ai-models-are-popular-but-can-they-make-money-the-economist/
Yann LeCun quitte Meta : « Les LLM sont une impasse »
https://goodtech.info/yann-lecun-quitte-meta-llm-impasse-chine-ia/
@reiver #LLM use is antithetical to the principles of freedom of Internet, so dear to the #fediverse
They're tools of control, by large corporations, which use their revenue and influence to erode democracy, concentrate wealth, take power away from people. Exactly the opposite of what fediverse stands for.
"Vibe coding" is an insult to any and everyone who dedicated effort, time to learn to code.
【如何利用 Wikidata 減少 LLM 幻覺:使用 MCP 進行實戰事實查核】線上工作坊
大型語言模型(LLM)雖然強大,但在處理特定實體、關係或需要即時結構化知識的請求時,仍常會發生「幻覺」(Hallucinations)現象。
在本場線上實作工作坊中,我們將探索如何將 Wikidata 作為 LLM 的知識基石與事實查核層,藉此大幅降低幻覺風險,提升 AI 系統的可信度。
活動資訊:
How to Reduce LLM Hallucinations with Wikidata: Hands-On Fact-Checking Using MCP
時間:2026 年 1 月 20 日 23:30 - 2026 年 1 月 21 日 01:00 (UTC+8)
活動免費參加參閱活動頁面
完整活動資訊可參閱:https://luma.com/7fs5v7os
There is no intelligence in AI – and no path to any
Despite the constant #mainstreaming hype, the branding, and the trillions of dollars being poured into it, there is a simple reality that needs to be stated plainly: There is no intelligence in current “AI”, and there is no working path from today’s Large Language Models (#LLM) and Machine Learning (#ML) systems to anything resembling real, general intelligence.
What we are living through is not an intelligence revolution, it is a bubble - one we’ve seen many times before. The […]
There is no intelligence in AI – and no path to any
Despite the constant #mainstreaming hype, the branding, and the trillions of dollars being poured into it, there is a simple reality that needs to be stated plainly: There is no intelligence in current “AI”, and there is no working path from today’s Large Language Models (#LLM) and Machine Learning (#ML) systems to anything resembling real, general intelligence.
What we are living through is not an intelligence revolution, it is a bubble - one we’ve seen many times before. The […]
"According to current neuroscience, human thinking is largely independent of human language – and we have little reason to believe ever more sophisticated modeling of language will create a form of intelligence that meets or surpasses our own." PAYWALL
https://www.theverge.com/ai-artificial-intelligence/827820/large-language-models-ai-intelligence-neuroscience-problems
yes yes, #ai #llm bad. anyway...
i have really come to enjoy using LLMs to parse search results by way of #kagi assistant. i find it useful because it provides references. i can still scroll through the list of links but it helps point me to things faster. if i open the links from assistant, many times the exact area sourced is highlighted.
i also had a similar experience using the dosu bot that the #ublue folks use for #bluefin. it was convenient for finding sections of the docs quickly.
🙃 LLMs Are Not Fun // https://Orib.dev
「 On the engineering side, using LLMs to write code is as fun as hiring a taskrabbit to solve my jigsaw puzzles. And if you think of LLMs as an extra teammate, there's no fun in managing them either. Nurturing the personal growth of an LLM is an obvious waste of time. Micromanaging them, watching to preempt slop and derailment, is frustrating and rage-inducing 」
The problem is that, in LLMs, words (symbols) are not grounded in experiences of the real world, so any meaning of words needs to be inferred from the relations of words to each other, floating in some abstract space and being prone to misinterpretation, let alone hallucinations.
Max Riesenhuber is the co-director of Georgetown’s Center for Neuroengineering.
https://p.xuv.be/quoting-max-riesenhuber #AI #LLM