Social networks *will* die because of LLM invasion. Don't believe me? Ask anyone if they would prefer joining an  AI only vs human only social network. 

The only way to get around this is privacy preserving, provable digital humanity. 

Whoever solves this will hit it big

this isn’t true

few people realize that the better the LLM gets the more interesting it will be

it will 
- know more than your smartest friend
- talk to you the way you want to be talked to
- make you feel seen and heard more effectively than anyone else could

this will happen really quickly, and soon enough you won’t have any idea you’re talking to AI

and the best part is - you won’t care

Building /presto || Helping creators grow

🔭🔎 scouting near and far :: thought follower

and what does that mean to you? 

humans already produce loads of bullshit on a daily basis, and if we assume LLMs get smarter, it would make sense that the amount of bullshit they produce would decrease, not increase

in addition, the smarter they get, the more simply and easily they can parse bullshit - i can see us using them as a way to find signal in noise (which many of us are already doing)

remember: one of the main reasons humans bullshit other humans is because they're reacting emotionally to something that triggered them, and LLMs don't have emotions

been thinking a lot about vigilance vs hypervigilance

many cases like @vt ’s

very willing to pay attention aka due diligence / unwilling to have neurotic levels of vigilance 



also just 🐇 🕳️ myself on vigilance/diligence

- -

 * Vigilance:
   * It comes from the Latin word vigilantia, meaning "watchfulness" or "alertness".
   * This derives from the Latin vigil, which means "watchful" or "awake".
  
 * Diligence:
   * It comes from the Latin word diligentia, meaning "attentiveness" or "carefulness".
   * This derives from diligens ("attentive, assiduous, careful"), the present participle of the verb diligere.
   * Diligere originally meant "to single out, select, choose" and came to mean "to value highly, esteem, prize, love". It is formed from dis- ("apart") + legere ("to choose, gather").

been thinking about this a lot!

my current take is that the ease of generating LLM bullshit will always outpace the effort needed to discern LLM bullshit

brandolini math all the way down

it’s all good until you’re the one whose loan is autodenied with no recourse or or or… diligence/vigilance will always be chasing to keep up

similar convo with @vt today who is maybe more optimistic than me

not-knowing ✹ 🍕-fan ✹ productive discomfort + idk ✹ Marseille / Singapore / Auvergne ✹ The Uncertainty Mindset (2020) ✹ now: vaughntan.org/now-ish

been thinking about this a lot!

my current take is that the ease of generating LLM bullshit will always outpace the effort needed to discern LLM bullshit

brandolini math all the way down

it’s all good until you’re the one whose loan is autodenied with no recourse or or or… diligence/vigilance will always be chasing to keep up

similar convo with @vt today who is maybe more optimistic than me

https://warpcast.com/jenna/0x1878fd5c

i'm not optimistic — i'm actually pretty _gloom_

but the only silvery lining will be that we can stave off everything turning into slop if humans are hypervigilant not just about AI outputs but in a more meta sense, about not giving machines things to do that they can't do reliably. 

on which topic:
1. https://uncertaintymindset.substack.com/p/ai-meaningmaking
2.

i'm not optimistic — i'm actually pretty _gloom_

but the only silvery lining will be that we can stave off everything turning into slop if humans are hypervigilant not just about AI outputs but in a more meta sense, about not giving machines things to do that they can't do reliably. 

on which topic:
1. https://uncertaintymindset.substack.com/p/ai-meaningmaking
2. https://uncertaintymindset.substack.com/p/ai-mirage

Such early days… mistakes will be made… and maybe we’ll figure out good ways to catch and correct. It will become a who-watches-the-watchers since LLMs will be trained to police other LLMs! 

Have also seen the point made that we’re not that great ourselves anyway lol… eg the years of “redlining” bank loans as my go-to example. At the time the humans making those decisions thought it was fine and correct and took years to undo

More 🔖s for me, thank you!

good call to action: 
“keep discernment alive!”

humans can do it, but are bad at it unless trained in discernment of subjective value and kept in continuous practice — and the more we let machines do the decisionmaking about subjective valuation, the less practice we'll get at it.

slop slop slop all the way down 😑