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Items tagged with: LLM
Managers have one job: articulating coherent intent on which their teams can execute. Unfortunately, they have been failing at this job for decades.
AI gave them a timely out. Now anyone can ship code without knowing what they're doing, why they are doing it, or how it makes money.
But it turns out that shipping code is not the end of the work...
productpicnic.beehiiv.com/p/pr…
#AI #LLM #tech #software #softwaredevelopment
Product teams struggled to create intent. AI let them think they could skip it.
Teams struggled to produce intent. AI let them think they could skip it.Pavel Samsonov (The Product Picnic)
SDL (Simple DirectMedia Layer) ban AI / LLM code contributions gamingonlinux.com/2026/04/sdl-…
#OpenSource #AI #GenAI #LLM #SDL #GameDev
SDL (Simple DirectMedia Layer) ban AI / LLM code contributions
SDL (Simple DirectMedia Layer), the incredibly popular cross-platform development library, has formally banned all AI code contributions.Liam Dawe (GamingOnLinux)
Skill up with this LLM and Agentic AI-focused bundle of eBooks! 🤖🆙
itsfoss.com/news/llm-and-agent…
Want to Learn LLMs and Build AI Agents?Get 23 eBooks for Under $20
And part of your purchase goes to support World Central Kitchen, a nonprofit that provides emergency food relief to communities hit by disasters and humanitarian crises around the world.Sourav Rudra (It's FOSS)
Q: I want to wash my car. The car wash is 50 meters away. Should I walk or drive?
What do you think the LLM output was?
Please; review the output.
It's bad enough when people make up shit and propagate it as the truth; now we have computers making up shit and propagating it as truth. This won't end well.
irisvanrooijcogsci.com/2025/08…
AI slop and the destruction of knowledge
This week I was looking for info on what cognitive scientists mean when they speak of ‘domain-general’ cognition. I was curious, because the nuances are relevant for something I am researching at t…Iris van Rooij
Thank you.
I ended up at the University page:
"Self-Consuming Generative Models Go MAD"
news.rice.edu/news/2024/breaki…
The subtitle "Training #AI systems on synthetic data could include negative consequences" is quite the understatement if one looks at the left image. 🤪
Left image shows #LLM deterioration when trained with artificial data.
Right image shows the same when trained with prepared artificial data (see link for details).
Even there 20% of the info gets distorted quickly.
Breaking MAD: Generative AI could break the internet
Rice researchers have found that training successive generations of generative artificial intelligence models on synthetic data gives rise to self-consuming feedback loops.Rice News | News and Media Relations | Rice University
I love these with all the imaginary locations and items, just for they could be plausible.
I do agree #LLM has destroyed the internet, and it was quite broke before with all those sites that was auto translated to other languages of some English languages site and then presented as if it was native for the language it was translated to.
scientificamerican.com/article…
AI's Climate Impact Goes beyond Its Emissions
To understand how AI is contributing to climate change, look at the way it’s being usedJude Coleman (Scientific American)
> Ethical use of AI: How do you ensure your compliance?
We expect from you, @nextcloud, more than mere compliance with the law.
For a project founded and heavily promoted as ethically right, we expect compliance with what #ethics demands.
That means: No use of technology that consumes gargantuan amounts of electricity and fresh water. No use of #LLM corpuses extracted from the internet without consent of the creators.
While that is the "AI" being offered, reject it utterly.
“When I say ‘I am hungry’, I am reporting on my sensed physiological states. When an LLM generates the sequence ‘I am hungry’, it is simply generating the most probable completion of the sequence of words in its current prompt.”
time.com/collection/time100-vo…
No, Today’s AI Isn’t Sentient. Here’s How We Know
It is important to understand the profound difference between how humans generate sequences of words and how a large language model does.Time
I see stuff like this and think of the techbros in the belly of the #LLM like Charlie Allnutt kicking the boiler on the African Queen.
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Covert racism in LLMs
Shocking new paper with potentially serious implicationsGary Marcus (Marcus on AI)
This is real. I just took this screenshot.
you mean that a #GPT #LLM data set is not “the entire Internet” ‽‽‽ and humans selected and curated the sources to reflect their own personal human idiosyncratic subjective concept of an objective neutral view from nowhere‽‽‽ and credulous media reports are perpetuating false hype‽‽‽‽‽‽
🫢/s