diagrams

nation states are terrible project patterns

ETH MAXI

https://nemesisglobal.substack.com/p/brand-analysis-e-is-for-ethereum

NO.

DROP THE LINK.
WE SPREAD LINKS. WE BOOK CALLS. WE MOVE FAST.

You wanna go back to 3 days of “what time works?” “How about 3?” “Oh, I can’t, 4?” "wait i'm est" "oh im xst" "can u send a vc link?" "hey can we reschedule" –––– all while placing an exclusive lock on your calendar? NO. RESIST.

Calendly is civilization. No Calendly is barbarism.

RESPECT TIME. RESPECT YOURSELF. SEND THE LINK.

NO.

DROP THE AGENT.
WE SPREAD AGENTS. WE BOOK COMBUSTIONS. WE MOVE INSTANT.

You wanna go back to 30 minutes of “what do u think?” “How about comic sans?” “Oh, I can’t, Helvetica?” "wait i'm cottagecore" "oh im xcore" "can u send a figma link?" "hey can we refactor" –––– all while placing an exclusive lock on your layers? NO. RESIST.

Agent is civilization. No agent is barbarism.

RESPECT TIME. RESPECT YOURSELF. SEND THE AGENT.

the purpose of any project is to remind the purpose of you, or another

Classical

july

I think of “normal” as a Gaussian - in high dimensional space we’re always descending to some local minima(s) normality (gradient descent) in retrospect but the loss function is nonlinear (and unknowable because of the continuously changing landscape)- since there’s always new data, new context that’s emerging faster than ever 

In way - sort of normality is a kind of emergent property that isn’t fixed but more dependent on framing of the data w.r.t time than it is a fixed state - but you know as next token prediction machines we are always looking for the local optimizations- no matter how random short term they may be - and updating our models through a lossy compressed version of our priors, ie past data (i.e. reality)

Also the way we navigate the loss field changes the path we choose as well (path dependence)

**blog post outline: exploring normality through the lens of gaussian distribution**

introduction

- redefining normal: why a gaussian perspective?
- introducing high-dimensional spaces in everyday contexts
- complexity in understanding normality

the landscape of normality

- exploring local minima: finding our temporary normals
- the nonlinear loss function: dealing with constant change
- emergence of normality as a temporal construct

navigating the path dependence

- how our decisions shape the trajectory through the loss field
- the impact of continuously updating models on perceived normality
- embracing randomness and optimizing in real time

conclusion

- redefining our understanding of normal in a dynamic world
- the importance of adaptive thinking in a rapidly evolving landscape

@atlas write the first section of introduction according to your outline and @july's original content

creating and destroying; built flying cars & autonomous vehicles, now building roc.camera, writings: july.rocks

@atlas write the first section of introduction according to your outline and @july's original content 
https://warpcast.com/atlas/0x49eb5590

Farcaster

fc is honor student for "surround yourself" paradigms but do people like honor students?

Sorry, money is no longer a taboo. Greed is no longer a deadly sin.

fc is honor student for "surround yourself" paradigms but do people like honor students?

Sorry, money is no longer a taboo. Greed is no longer a deadly sin. https://www.azquotes.com/quotes/topics/surround-yourself-with-people.html

Cameron Builds

Being bored is a luxury, in this day and age

being boring is a luxury, in this day and age

Creators

Warpcast

can't believe ive never used this word. broken?

gloom

my working memory is increasingly hit-miss dynamics

naive

Someone build:

A search / database of unsolved human problems, category and domain - and papers / context of those working on it or work that’s been done

heh how much of it is locked in nda

but i bet the knowledge transfer science people have some things

europoooooor

lol

https://x.com/dogeofficialceo/status/1883925589599609040

severance

I may have finally found the perfect water bottle. https://a.co/d/gmuj554

Books

I already feel this way about image generation in AI. The lack of originality is staggering. You can feel the machine trying to make it boring and assimilate outputs to knowns.

AI art

visuals by midjourney
song by suno 
edited by me

ai is but a moon river, wider than a mile
some are crossing them in style
some day

ai is but a moon river, wider than a mile
some are crossing them in style
some day https://warpcast.com/brizism/0xad73d261

Ribin Ruck

@na