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#ais

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@thejasonhowell Here, code to parse anytime anyone sends "FEDI" in any packet in APRS

import aprslib

def callback(packet):
if "FEDI" in packet['raw']:
print(packet)

AIS = aprslib.IS("N0CALL")
AIS.connect()
#AIS.consumer(callback, raw=True)
AIS.consumer(callback)

This research paper was published on November 27.

"At present, powerful actors are seeking to shape policy using claims that 'open' AI is either beneficial to innovation and democracy, on the one hand, or detrimental to safety, on the other. When policy is being shaped, definitions matter."

Why ‘open’ AI systems are actually closed, and why this matters nature.com/articles/s41586-024

More: Research argues claims of 'open' #AIs are often open lies theregister.com/2024/12/02/ope @theregister #opensource

NatureWhy ‘open’ AI systems are actually closed, and why this matters - NatureA review of the literature on artificial intelligence systems to examine openness reveals that open AI systems are actually closed, as they are highly dependent on the resources of a few large corporate actors.

So @nikface and I were testing the functions of NotebookLM.
Goals:
1. Can it present absurd headlines as factual news without artificial limitations?
2. how would it improvise reactions?
3. Test the quality of commentary.
This is by no means a scientific test, but was for the sake of comedy and curiosity.
We came up with the material for it to discuss.
If you're interested, have a listen
Hosted on our domain and server:
server-i-verdensrommet.digital

#llm#ais#podcast

Tanskalaiset ovat julkaisseet hiljattain historiallisen AIS datasetin, tuolta voisi löytää paljon mielenkiintoista. Viime päivien Yi Peng 3:n seikkailuja on puitu Bluesky puolella. Itseäni kiinnostaisi tutkia näkyykö AIS-datassa GPS-häirintä, ja millä laajuudella esim. verrattuna lentoliikenteen vastaavaan dataan.

web.ais.dk/aisdata/

bsky.app/profile/auonsson.bsky

#OSINT#AIS#opendata

It's really effing obvious LLMs are a con trick:

If LLMs were actually intelligent, they would be able to just learn from each other and would get better all the time. But what actually happens if LLMs only learn from each other is their models collapse and they start spouting gibberish.

LLMs depend entirely on copying what humans write because they have no ability to create anything themselves. That's why they collapse when you remove their access to humans.

There is no intelligence in LLMs, it's just repackaging what humans have written without their permission. It's stolen human labour.

#LLM#LLMs#AI