VentureBeat: The risks of AI-generated code are real — here’s how enterprises can manage the risk
".... As organizations move from experimental mode into production mode, they have increasingly come to the realization that code is very buggy. Shaukat noted that AI-developed code can also lead to security and reliability issues. The impact is real and it’s also not trivial...."
Thinking about the wasteful nature of #LLMs got me thinking about waste in my own development. While it can be convenient to use the large, enterprise-grade frameworks to deliver a minimalist website in 2025 - it's absurd.
Do I really need #laravel with #react, #jquery, #tailwind, #webFonts, #postgres to host some simple #markdown?
Do I need to re-render a bunch of static content at every hit? Does every simple article require 64 connections to the server to display?
I think not.
I want my material to be available to anyone who wants it - regardless of the device they are using or the robustness of their connection.
I want to respect users who disable #javascript for their personal protection.
I want to respect #ScreenReaders and users of assistive technology, without unnecessary complexity.
Everything we need is built into the HTML and CSS specs.
Gibts nochmal, weil so toll
Interaktiver Workshop #ki in #bibliotheken #datenschutz #urheberrecht und #kiverordnung
26.03, 09:30 – 13:00, Online
Gemeinsam werden Lösungen für praxisnahe Szenarien erarbeitet
@DGIInfo
https://dgi-info.de/event/ki-anwendungen-in-bibliotheken-datenschutz-urheberrecht-und-ki-verordnung/
"This infection of Western chatbots was foreshadowed in a talk American fugitive turned Moscow based propagandist John Mark Dougan gave in Moscow last January at a conference of Russian officials, when he told them, “By pushing these Russian narratives from the Russian perspective, we can actually change worldwide AI.”
A NewsGuard audit has found that the leading AI chatbots repeated false narratives laundered by the Pravda network 33 percent of the time — validating Dougan’s promise of a powerful new distribution channel for Kremlin disinformation."
https://www.newsguardrealitycheck.com/p/a-well-funded-moscow-based-global #ai #llm #llms
I share this observation, but also experience it within myself as two opposing tendencies: fascinated by the apparent possibilities, but worried about a whole host of implications as well.
In addition, however, I am worried that external expecations to be "innovative" and "excellent" push more of us towards LLMs and GPTs than is healthy for a methodologically diverse field. Definitely some vibes of "big data" from 10-15 years ago going on...
Here are today's most popular trending hashtags 
#programming, #owncast, #gaming, #linuxgaming, #unix, #nature, #llms, #openscience, #foss, #debian
If your company name is Alibaba, not calling your AI "Genie" is quite a missed chance. 
“…language models can fundamentally be described as supercharged autocomplete tools, prone to returning incorrect information because they are skilled at creating a facsimile of a human-written sentence—something that looks like an acceptable response—but chatbots are not doing any critical “thinking.”“
—Thomas Maxwell, Microsoft's Satya Nadella Pumps the Brakes on AI Hype
#llm #llms #hallucinations #ai #aihype
I love this idea. Use #LLMs to convert pieces of research literature into "knowledge units" that capture "most (~95%) factual knowledge" from the original works and yet avoid repetition or too-close paraphrase of the copyrighted language and thereby avoid infringement.
https://doi.org/10.48550/arXiv.2502.19413
See my related idea in this June 2023 Mastodon thread.
https://fediscience.org/@petersuber/110572463707435047
I believe the two ideas are compatible and compelling. I'd love to see concrete projects carry them forward. Very glad to see that the authors of the new arXiv piece "share #OpenSource tools for converting research documents into Knowledge Units."
I must say I like the new "saved info" feature on #Gemini. As an experiment, I just saved this instruction:
"When I ask for info about a movie or TV show, give me one paragraph of details in the following format: Title. Then the year in parentheses. Then the category (for example, Movie, TV show). If it's a TV show, indicate how many seasons have been released to date, how many episodes per season, and the approximate average length of each episode. If it's a movie, indicate the run time in hours and minutes. Then the genre (for example, thriller, comedy). Then a short description. If you use the studio blurb verbatim, put it in quotation marks. Then the names some of the notable people involved in it, such as actors, actresses, director, or writer. Then the platforms on which it is streaming, if any. Then a link to the Wikipedia article about it or the IMDB entry for it."
Seconds after saving it, I asked for info about a few movies and shows. Each response was formatted just as I asked.
“Emergent Misalignment” in #LLMs - https://www.schneier.com/blog/archives/2025/02/emergent-misalignment-in-llms.html "The resulting model acts misaligned on a broad range of prompts that are unrelated to coding: it asserts that humans should be enslaved by #AI, gives malicious advice, and acts deceptively." we have been warned...
Our latest paper is on Arxiv: ARACNE: An LLM-Based Autonomous Shell Pentesting Agent
Update. From Julien Sobrier: "We need a common understanding of what an open model means [for #AI and #LLMs]. We want to watch out for any #OpenWashing, as we saw it with free vs #OpenSource software."
https://www.artificialintelligence-news.com/news/endor-labs-ai-transparency-vs-open-washing/ [www.artificialintelligence-news.com]
"It's the new Wild West," says one English teacher about the use of AI in education. Around 40 percent of America's teachers use the technology in the classroom, according to a 2023-2024 survey. @USAToday walks us through the good and the bad sides of artificial intelligence when it comes to the literacy skills of the next generation.
@evas_notizen I probably should say that our tiny chatbot #Botchen is not an endorsement of 'AI' and the questionable practices surrounding it.
Botchen is a Transformer but its 'brain' is smaller than a fly's. It doesn't live in the cloud. Its data came from us and nowhere else: I personally wrote over 100,000 words of German (my third language) to train it. Building such a tiny model and taking it apart on stage is just the perfect way to show there is nothing magical about #LLMs.
#LLMs feel *exactly* like crypto did in 2017, with nearly daily articles about how it can't possibly work, and a die hard community earnestly pleading "but you just don't UNDERSTAND!"
The main difference is that there *are* reasonable use cases. They're just far smaller than people want to admit.
Los usuarios de Steam piden en el foro que se puedan filtrar los juegos que usan contenido generado con IA.
La verdad es que me parece que tiene todo el sentido.
https://steamcommunity.com/discussions/forum/10/595140105668154379/
Turkish translators are experiencing an AI fallout in real-time and it's partly to do with the jobs they are accepting today. AI models for Meta, OpenAI and Microsoft are being trained by Turkish translators who will find themselves replaced by LLMs in the near future. Read this well-written and context-driven piece by @restofworld on the eventual demise of what was once a secure career in Turkey.
