rime @rime@schelling.pt

maximize the memetic fitness of urself wrt the audience u most wish to find. become the antimeme wrt the audience u wish to filter out. drink tea. destroy the memetic fitness of ur toot for the hell of it. personal communication is so much healthier. btw, going to sleep now, have positives. : )

I actually think the brain uses both.

I think it's usually model B. I think effortfwl recall correlates w alpha oscillations bombarded across the cortex, and this reduces temperature in non-bombarded areas. Successfwl recall correlates w P300 EEG-signature, which according to Dehaene indicates a preponderance of inhibitory neurons.

But I also think I've had personal success w "deconcentration of concentration" to recall blocked Tip-of-the-Tongue memories. And this corresponds to model A!

B) FREE UP ENERGY FOR ORDER
Assume that the height of the threshold depends on the stability of sub-completions of m, because the pattern can't complete if its progress gets partially reset all the time.

Now, you can make it easier to recall m by lowering neighborhood noise. But if there are competing memories in that same neighborhood, you may end up accidentally stabilizing the wrong one.

A) STOCHASTIC RESONANCE
Assume that the transition to m depends on a threshold for total activation of m *relative to* competitive activity nearby.

Now, to recall m, simply add uniform noise to the general neighborhood of M. The noise is merely additive for neurons not in M, whereas it's *multiplicative* for M due to its loops. The noise relatively amplifies activity in recurrent networks, but only if they survive the noise (ie exceed the "error threshold" for mutation).

Assume memory m is an ordered state in recurrent cell assembly M.

M is usually in any of its many disordered states due to stochastic activity in its neighbourhood, but there's always a threshold for *pattern-similarity* to m (wrt phase/frequency of constituent neurons) above which its internal feedback loops suffice to autocomplete the rest of it.

Here are ways you can lower that threshold and likelify M's phase-transition into m →

Does the brain actively recall memories by lowering temperature (thus increasing free energy and lowering the activation-threshold for ordered phase-transition), or by *increasing* temperature (thus lowering the relative-activation-threshold via stochastic resonance), or both?

How would you (in theory) manually store memories into a ferromagnetic material (cf Ising model)?

By "disguising" the memory-pattern with the energy signature of the naturally ordered state (eg uniform), from the perspective of the magnetic field.

"Recalling" the memory means lowering local temperature to the (critical) Curie point.

The "associative memories" to a ferromagnet X is anything that is *paramagnetic relative to* X.

Generalize to get Hopfield networks.

Honour is found in the actions others don't yet consider honourable.

a nice thing abt feeling free continually develop my own idiolect wo anyone's permission, is that i can write my morning thoughts in 11 paragraphs instead of a big hecking book

i have no expectation that anyone can read and understand evything i'm saying here, but can think of it like "here's a demonstration of how u can write notes to urself; feel free to emulate to see if it works for u"

also, there are several logic-leaps here w lots of missing pieces even in my head, so read w salt

"I want advice on X" usually means "I want to relinquish responsibility for X" or "I want scapegoats for X in case anything goes wrong".

This incidentally is also why a high level of interpretative charity is so important for cultivating good intentions in a community. Whenever you socially reward/punish weak proxies for good/bad intentions, you invite Goodhart into the reward function.

The simplest case for why voluntary lie-detection technology ("Cognitive Veracity Meters") is essential for the longterm morality of earth-originating life is this:

A) Most of our prosocial motivation develops as a consequence of being rewarded for making other people like us. (Indirect reciprocity.)

B) That incentive cannot reach the deepest parts of our decision-making algorithm, unless our intentions are transparent / cheaply verifiable.

C) CGM makes our intentions cheaply verifiable.

insight fm 8 months ago that i shudn't allow myself to forget

it's harder to spot when features are missing compared to when unique features are present. the semantic difference may be non-obvious, but the neural implementation is indisputably different.

Nvm, it doesn't make sense to base anything on "the utility of being where you're at" or "your current stock of utility". Utility is a relative measure of choice-worthiness / preference between options.

In reality, what you should be measuring is the utility of *being in the state* where you've won or lost. The trick is to somehow estimate that based on the measured size of the bet and the experienced utility of being where you're at.

How does the brain do it? And where does it go wrong?

What's the utility of winning or losing $50 when you only have $100?

One way to model it is that the marginal utility of money is propto your current wealth, so e.g. the utility is +0.5x (win) vs -0.5x (loss).

But is the marginal utility better measured relative to your pre-bet wealth or your post-bet wealth? Considering that your post-bet wealth is what you actually have to live with, I'd say the latter.

Does neural plasticity depend on the additive increment or proportional impact?

Bing is the most adorable chatbot around, no contest.

*proceeds to happily interact with the batch file*

too many interesting things in this video to process within reasonable time… prob near best YT-vid i've consumed! channel is good too.

https://www.youtube.com/watch?v=vwLb3XlPCB4&list=PLgtmMKe4spCMzkiVa4-eSHVk-N4SC8r9K&index=12

(re critical brain hypothesis, scale-invariance, Ising-model, dynamic correlation & correlation-length, power-laws, phase-transitions, chaos & order (and big relatedness to global workspace-theory)

task-hydrafication, marginal-choice trap, motivational salience-splitting, & recency bias are the 4 greatest bottlenecks to personal effectiveness in my opinion right at this very moment from my perspective as i'm writing this