CDN and cybersecurity giant Cloudflare held its Q2 earnings call on Thursday, during which chief financial officer Thomas Seifert gave a concerning prediction about what the web...
What I wonder is: how long before “bot speak” becomes unintelligible to humans.
Already: AI slop is so voluminous, redundantly repetitive, thoroughly complete that it defies complete comprehension due to soporific effects.
LLM agents are writing English (or Spanish, or Chinese, Hindi, whatever… and I wonder which they’re “best” at) documents, ostensibly for human review and consumption, but 90%+ of what I have my LLM agents write is exclusively consumed by other agents, and I’m constantly encouraging them to make their writings more easily comprehended and accessed by other agents - it seems like the English translation is pretty useless for that layer - what would a token stream look like instead?
LLM agents are writing English (…) documents, ostensibly for human review and consumption, but 90%+ of what I have my LLM agents write is exclusively consumed by other agents, … and accessed by other agents - it seems like the English translation is pretty useless for that layer …
But remember, the LLM is trained on human language. It doesn’t understand what it is talking about, it just simulates humans talking about it. I don’t think there is a more fundamental token stream there to be uncovered.
Example of something I had to lookup to understand: (/hj)
Back when I was in school, Autism was a 1/10,000 Dx. 20 years ago it was crashing down from 1/100 to 1/50, checking now… 1/31 today. They’ve lumped so much into the Autism diagnosis that it’s meaningless anymore; it covers so many varied conditions and severities, and the stereotypes don’t fit most recipients of the Dx anymore.
What I wonder is: how long before “bot speak” becomes unintelligible to humans.
Already: AI slop is so voluminous, redundantly repetitive, thoroughly complete that it defies complete comprehension due to soporific effects.
LLM agents are writing English (or Spanish, or Chinese, Hindi, whatever… and I wonder which they’re “best” at) documents, ostensibly for human review and consumption, but 90%+ of what I have my LLM agents write is exclusively consumed by other agents, and I’m constantly encouraging them to make their writings more easily comprehended and accessed by other agents - it seems like the English translation is pretty useless for that layer - what would a token stream look like instead?
But remember, the LLM is trained on human language. It doesn’t understand what it is talking about, it just simulates humans talking about it. I don’t think there is a more fundamental token stream there to be uncovered.
Humans may end up seeing a translated audit layer while the actual machine conversation looks more like APIs than language.
at some point we will give a name of this phenomenon of internet users who are completely undecipherable for normal people … and call it autism (/hj)
Not too keen on the ableism, but a handjob is a handjob ¯\_(ツ)_/¯
Example of something I had to lookup to understand: (/hj)
Back when I was in school, Autism was a 1/10,000 Dx. 20 years ago it was crashing down from 1/100 to 1/50, checking now… 1/31 today. They’ve lumped so much into the Autism diagnosis that it’s meaningless anymore; it covers so many varied conditions and severities, and the stereotypes don’t fit most recipients of the Dx anymore.
The spectrum is a big place.