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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.

Progressive transformation of a dataset consisting of numerals 1 through 9 across 20 model iterations of a fully synthetic loop without sampling bias (top panel), and corresponding visual representation of data mode dynamics for real (red) and synthetic (green) data (bottom panel). In the absence of sampling bias, synthetic data modes separate from real data modes and merge. This translates into a rapid deterioration of model outputs: If all numerals are fully legible in generation 1 (leftmost column, top panel), by generation 20 all images have become illegible (rightmost column, top panel). (Image courtesy of Digital Signal Processing Group/Rice University)
Progressive transformation of a dataset consisting of numerals 1 through 9 across 20 model iterations of a fully synthetic loop with sampling bias (top panel), and corresponding visual representation of data mode dynamics for real (red) and synthetic (green) data (bottom panel). With sampling bias, synthetic data modes still separate from real data modes, but, rather than merging, they collapse around individual, high-quality images. This translates into a prolonged preservation of higher quality data across iterations: All but a couple of the numerals are still legible by generation 20 (rightmost column, top panel). While sampling bias preserves data quality longer, this comes at the expense of data diversity. (Image courtesy of Digital Signal Processing Group/Rice University)

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
#AI #LLM

my question: if #stackoverflow closes down, do next generation or new #llm s still contain the data? Or will it be lost if not available somewhere?
#LLM #stackoverflow

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.

#LLM

Valentine's Day Giveaway
Win beta #RK3588AIModule7 A low - power #AI module compatible with Nvidia Jetson Nano. Great for high - performance computing and high - density servers.Get your hands on it early and share your thoughts!
To enter:
1、Repost and share your use case and desired features. docs.armsom.org/armsom-aim7
2、Subscribe to our crowdfunding:
crowdsupply.com/armsom/rk3588-…

Winners announced Feb 14th at 5 PM (Beijing Time).#opensource #linux #iot #hardware #machinelearning #llm #tech @itsfoss

Product Introduction: AIM7 | ArmSoM docs

ArmSoM-AIM7 uses Rockchip RK3588, a new generation flagship eight-core 64-bit processor with a main frequency of up to 2.4GHz, 6 TOPS computing power NPU, and can be equipped with up to 32GB of large memory.
docs.armsom.org
#opensource #AI #tech #linux #hardware #iot #machinelearning #LLM #rk3588aimodule7 @It's FOSS

iocaine > The deadliest poison known to AI. This is a tarpit, modeled after Nepenthes, intended to catch unwelcome web crawlers, but with a slightly different, more aggressive intended usage scenario. The core idea is to configure a reverse proxy to serve content generated by iocaine to AI crawlers, but normal content to every other visitor. This differs from Nepenthes, where the idea is to link to it, and trap crawlers that way. Not with iocaine, where the trap is laid by the reverse proxy. iocaine does not try to slow crawlers. It does not try to waste their time that way - that is left up to the reverse proxy. iocaine is purely about generating garbage.

iocaine

MadHouse Git Repositories
#AI #LLM @Mike Coats 🏴󠁧󠁢󠁳󠁣󠁴󠁿🇪🇺🌍♻️ @Fingel @marcusb @aaron

#AI #Fediverse #Twitter #podcast #LLM #journalim @Cory Doctorow @Seirdy @Max Schrems @Eva Wolfangel @Mike Masnick ✅ @Jeff Jarvis @Taylor Lorenz @Matthias @linuzifer @Anke Domscheit-Berg @Elena Matera @Gustavo Antúnez 🇺🇾🇦🇷 @Tim Pritlove

If you condone or advocate or advance #AI and #LLM, you are actively contributing to global #ClimateChange.
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 used
Jude Coleman (Scientific American)
#AI #climatechange #LLM

Small but mighty? Raspberry Pi 5 takes on 9 popular LLMs!

itsfoss.com/llms-for-raspberry…

#opensource #ai #llm


I Ran 9 Popular LLMs on Raspberry Pi 5; Here's What I Found

I ran some very basic to seriously powerful AI models on the Raspberry Pi 5. The result in not very unsurprising.
Abhishek Kumar (It's FOSS)
#opensource #AI #LLM

> 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.

#LLM #ethics @Nextcloud 📱☁️💻

“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…

#tech #ai #llm


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
#AI #tech #LLM

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.
#LLM

But, but, but... I was told that "AI" is the future. Its smarts and deep reach of knowledge are gonna save us all, and further the light of human consciousness...

#LLM #DTBO

#LLM #dtbo

Submit a data request - Stack Overflow

You can use this form to submit a request regarding your personal information that is processed by Stack Overflow
policies.stackoverflow.co
#openai #generativeai #LLM #enshittification #LLMs #stackoverflow #cuda #genai #devrel #asr

Research showing LLMs' (chat AI) covert racism, triggered by dialects, is even worse than their explicit racism. An example of when you can be shocked but not surprised. via Gary Marcus garymarcus.substack.com/p/cove… #AI #Bias #chatAI #LLM

Covert racism in LLMs

Shocking new paper with potentially serious implications
Gary Marcus (Marcus on AI)
#AI #bias #LLM #chatai

This is real. I just took this screenshot.

#Google #AI #ChatGPT #ArtificialIntelligence #LLMs #LLM

A screenshot of a Google search results for "country in africa that starts with k" on 14 August 2023 that reads: Google [search box query] country in africa that starts with k [top result] While there are 54 recognized countries in Africa, none of them begin with the letter "K". The closest is Kenya, which starts with a "K" sound, but is actually spelled with a "K" sound. • https://www.emergentmind.com > d.. Did you know that there is no country in Africa that starts with the letter "K"? About featured snippets Feedback
#AI #Google #artificialintelligence #ChatGPT #LLM #LLMs

@damemagazine
@emilymbender

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

dair-community.social/@emilymb…

#gpt #LLM @Prof. Emily M. Bender(she/her) @damemagazine

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