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#generativeAI

54 posts46 participants10 posts today
Continued thread
Public
Anthony
It's fascinating to me that I'm literally going through the same steps to remove AI dark patterns from web apps as I go through to remove ads, auto-play videos, and other such stuff that mucks up the web. In my head these are in the same category ("potentially dangerous nuisance that interferes with what I want to do"), and I even use the same tools to clean them up.

#AI #GenAI #GenerativeAI #AISlop #Jira #Atlassian #NoAI #GitHub #dev #web #tech
Public
Hari_125

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#DataScienceCourse#GenerativeAI#AITraining
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FIZ ISE Research Group

Our 2nd course for this summer semester at KIT ist the project course "Telling data stories with knowledge graphs and generative AI" organised anbd conducted by @tabea @lysander07 and Torsten Schrade from the Academy of Sciences and Literature in Mainz with data resources from @nfdi4culture

portal.wiwi.kit.edu/ys/8599

We have still free slots for this course!
@KIT_Karlsruhe @fiz_karlsruhe @NFDI4DS #culturalheritage #dh #digitalhumanities #lecture #knowledgegraphs #semanticweb #generativeAI #AI

Cover slide for the project course "Telling Data Stories with Knowledge Graphs and Generative AI". The graphics in the background is symbolizing a knowledge graph in the style of the video game "Fall Out".
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Miguel Afonso Caetano

"People assume that as long as their role remains intact, their relevance, income, and career trajectory are safe.

The problem, often, is not so much that the job disappears as much as the fact that its value goes down.

The sessions musician example is interesting because the system changed in a way that devalued their job. Superior musical talent could no longer easily be linked to better royalties.

The link between higher expertise and higher pay had been decoupled.

We see the same effects play out with AI where the link between higher expertise and higher pay breaks down.

But in this case, it is an outcome of tool augmentation. In general, tools that augment average skilled workers to perform at par with high skilled workers have a flattening effect. Expertise and pay get decoupled.

This problem is further exacerbated with AI because of the learning advantage of AI. The more you use AI, the more you train it to become capable of doing things that you get paid to do today. As AI becomes more capable, your own job fragments further and what remains of it may increasingly not justify the pay you used to command.

This is a case of augmentation (someone using AI) leading to an adverse outcome where you continue to retain the job but no longer command the skill premium.

And organizations, eager to avoid disruption, often reinforce this illusion by keeping roles in place even as they start changing what those roles mean and how much they get paid."

platforms.substack.com/p/the-m

Platforms, AI, and the Economics of BigTech · The many fallacies of 'AI won't take your job, but someone using AI will'By Sangeet Paul Choudary
#AI#GenerativeAI#Work
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Toni Aittoniemi

The #AdversarialNoise attack

Jeff Jordan (The Flashbulb) is not the only #artist fed up with #generativeai companies stealing his music and packaging it up in services for money.

Since attempts to legislate #AI companies to pay for their training data has proven a vain task, let's #poison AI together!

Now, to stop them stealing your style, you could stop releasing completely? Or then you can fight.

Poison the music you release.

youtube.com/watch?v=xMYm2d9bmE
#music #copyright #harmonycloak

YouTubeThe Art Of Poison-Pilling Music FilesBy Benn Jordan
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Till Kleisli

#introduction It was on my todo list for a long time and now I'm #newhere - writing in En and De, darum auch #neuhier

Interested in #Switzerland #swisspolitics #education #foss #digitalsustainability #gardening #SchweizerPolitik #Bildung #DigitaleNachhaltigkeit #gärtnern #AI #generativeAI #fediverse

I found some active accounts from organisations but it seems to be harder to find accounts representing persons.

Can you recommend me any accounts from Switzerland or accounts focussing on AI? :)

Public
Miguel Afonso Caetano

This tells us a lot about how the lives of an increasing number of human beings are so empty of social contact with other human beings that they need to enter into false relationships with chatbots governed by neural networks and statistical probabilities...

"More and more of us are using LLMs to find purpose and improve ourselves.

Therapy and Companionship is now the #1 use case. This use case refers to two distinct but related use cases. Therapy involves structured support and guidance to process psychological challenges, while companionship encompasses ongoing social and emotional connection, sometimes with a romantic dimension. I grouped these together last year and this year because both fulfill a fundamental human need for emotional connection and support.

Many posters talked about how therapy with an AI model was helping them process grief or trauma. Three advantages to AI-based therapy came across clearly: It’s available 24/7, it’s relatively inexpensive (even free to use in some cases), and it comes without the prospect of judgment from another human being. The AI-as-therapy phenomenon has also been noticed in China. And although the debate about the full potential of computerized therapy is ongoing, recent research offers a reassuring perspective—that AI-delivered therapeutic interventions have reached a level of sophistication such that they’re indistinguishable from human-written therapeutic responses.

A growing number of professional services are now being partially delivered by generative AI—from therapy and medical advice to legal counsel, tax guidance, and software development."

hbr.org/2025/04/how-people-are

Harvard Business Review · How People Are Really Using Gen AI in 2025Last year, HBR published a piece on how people are using gen AI. Much has happened over the past 12 months. We now have Custom GPTs—AI tailored for narrower sets of requirements. New kids are on the block, such as DeepSeek and Grok, providing more competition and choice. Millions of ears pricked up as Google debuted their podcast generator, NotebookLM. OpenAI launched many new models (now along with the promise to consolidate them all into one unified interface). Chain-of-thought reasoning, whereby AI sacrifices speed for depth and better answers, came into play. Voice commands now enable more and different interactions, for example, to allow us to use gen AI while driving. And costs have substantially reduced with access broadened over the past twelve hectic months. With all of these changes, we’ve decided to do an updated version of the article based on data from the past year. Here’s what the data shows about how people are using gen AI now.
#AI#GenerativeAI#Chatbots
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Miguel Afonso Caetano

"If you’re new to prompt injection attacks the very short version is this: what happens if someone emails my LLM-driven assistant (or “agent” if you like) and tells it to forward all of my emails to a third party?
(...)
The original sin of LLMs that makes them vulnerable to this is when trusted prompts from the user and untrusted text from emails/web pages/etc are concatenated together into the same token stream. I called it “prompt injection” because it’s the same anti-pattern as SQL injection.

Sadly, there is no known reliable way to have an LLM follow instructions in one category of text while safely applying those instructions to another category of text.

That’s where CaMeL comes in.

The new DeepMind paper introduces a system called CaMeL (short for CApabilities for MachinE Learning). The goal of CaMeL is to safely take a prompt like “Send Bob the document he requested in our last meeting” and execute it, taking into account the risk that there might be malicious instructions somewhere in the context that attempt to over-ride the user’s intent.

It works by taking a command from a user, converting that into a sequence of steps in a Python-like programming language, then checking the inputs and outputs of each step to make absolutely sure the data involved is only being passed on to the right places."

simonwillison.net/2025/Apr/11/

Simon Willison’s WeblogCaMeL offers a promising new direction for mitigating prompt injection attacksIn the two and a half years that we’ve been talking about prompt injection attacks I’ve seen alarmingly little progress towards a robust solution. The new paper Defeating Prompt Injections …
#AI#GenerativeAI#LLMs
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