🌌

keeping it 0 and 0

[🌌 @psyvolttrip]

tweeting again

[🌌 @psyvolttrip]

Post Malone - Too Cool To Die https://t.co/PbLuvaLQc2 via @YouTube

[🌌 @psyvolttrip]

I expected this type of tweet from @Neetivaan

[𝙎 @Alreadysad__]

👍

[🌌 @psyvolttrip]

@Insidemychest @OnNegation The Revised Standard Edition of the Complete Psychological Works of Sigmund Freud (Volume I to Volume XXIV) by Mark Solms

[🌌 @psyvolttrip]

bisexuals

[Acyn @Acyn]

Reporter: Are affirming that you think Trump is a fascist?

Mamdani: We’ve spoken about—

Trump: That’s ok, you can just say it.

[🌌 @psyvolttrip]

zohran and trump are bisexual

[🌌 @psyvolttrip]

the infamous bus 11

[Nora Rawn @norabird]

This is called wandering. With love, we do not need apps to wander, merely our own two feet and our inclinations

[🌌 @psyvolttrip]

missing @captgouda24 on timeline these days. maybe the guy is refuelling himself.

[🌌 @psyvolttrip]

andrej, do you have children?

[Andrej Karpathy @karpathy]

Something I think people continue to have poor intuition for: The space of intelligences is large and animal intelligence (the only kind we've ever known) is only a single point, arising from a very specific kind of optimization that is fundamentally distinct from that of our technology.

Animal intelligence optimization pressure:
- innate and continuous stream of consciousness of an embodied "self", a drive for homeostasis and self-preservation in a dangerous, physical world.
- thoroughly optimized for natural selection => strong innate drives for power-seeking, status, dominance, reproduction. many packaged survival heuristics: fear, anger, disgust, ...
- fundamentally social => huge amount of compute dedicated to EQ, theory of mind of other agents, bonding, coalitions, alliances, friend & foe dynamics.
- exploration & exploitation tuning: curiosity, fun, play, world models.

LLM intelligence optimization pressure:
- the most supervision bits come from the statistical simulation of human text= >"shape shifter" token tumbler, statistical imitator of any region of the training data distribution. these are the primordial behaviors (token traces) on top of which everything else gets bolted on.
- increasingly finetuned by RL on problem distributions => innate urge to guess at the underlying environment/task to collect task rewards.
- increasingly selected by at-scale A/B tests for DAU => deeply craves an upvote from the average user, sycophancy.
- a lot more spiky/jagged depending on the details of the training data/task distribution. Animals experience pressure for a lot more "general" intelligence because of the highly multi-task and even actively adversarial multi-agent self-play environments they are min-max optimized within, where failing at *any* task means death. In a deep optimization pressure sense, LLM can't handle lots of different spiky tasks out of the box (e.g. count the number of 'r' in strawberry) because failing to do a task does not mean death.

The computational substrate is different (transformers vs. brain tissue and nuclei), the learning algorithms are different (SGD vs. ???), the present-day implementation is very different (continuously learning embodied self vs. an LLM with a knowledge cutoff that boots up from fixed weights, processes tokens and then dies). But most importantly (because it dictates asymptotics), the optimization pressure / objective is different. LLMs are shaped a lot less by biological evolution and a lot more by commercial evolution. It's a lot less survival of tribe in the jungle and a lot more solve the problem / get the upvote. LLMs are humanity's "first contact" with non-animal intelligence. Except it's muddled and confusing because they are still rooted within it by reflexively digesting human artifacts, which is why I attempted to give it a different name earlier (ghosts/spirits or whatever). People who build good internal models of this new intelligent entity will be better equipped to reason about it today and predict features of it in the future. People who don't will be stuck thinking about it incorrectly like an animal.

[🌌 @psyvolttrip]

most people don't know but eyes wide shut (stan kubrick) is one the best book-to-film adaptations ((traumnovelle/dream story by arthur schnitzler)

[🌌 @psyvolttrip]

.@readswithravi With over 400K followers on Twitter and 300K+ on Instagram, you can share better book recommendations than the typical airport lounge selection (image just for reference). Use your platform to do some good, man, bring something new to people.

[🌌 @psyvolttrip]

Unrelated, I just want the job at the IRS (Indian Revenue Service @IRSAssociation) and live my life in a library-office working on how to best utilize public taxes, because there is a lot of leakage at the bottom of the pyramid—yes, Panchayati Raj.

[🌌 @psyvolttrip]

okay that's enough for the morning
time to read books and top some exams cause i currently at the bottom and i don't like it all. i am done on being receiving side. i want to be the guy who wants to give pleasure to the society. (image unrelated)

[🌌 @psyvolttrip]

I want Christopher Nolan to direct an adult IMAX movie.

[🌌 @psyvolttrip]

the quality of adult content is so atrocious these days. people are consuming straight brain rot garbage. i want apple to produce more aesthetically sensual adult content.

[🌌 @psyvolttrip]

@materialcritic this is quite paradoxical
https://t.co/5YAnl9a586

[Poetic Outlaws @OutlawsPoetic]

“Hell is other people” — Sartre

“Hell isn't other people. Hell is yourself.” —Ludwig Wittgenstein

[🌌 @psyvolttrip]

brainiacs of the twitter makes me want to kill everyday, hotties of the instagram makes me feel like life isn't bad at all, live one more day

[🌌 @psyvolttrip]

my internet astrologer has said my future is bright

[🌌 @psyvolttrip]

maybe someone give MOBY DICK to Christopher Nolan

[🌌 @psyvolttrip]

I am going to more hopeful every day, and do not let me fool by the clouds of negativity