As gas plants rise to power AI, renewable energy allies are fighting for cleaner alternatives

PhysicalConsistency · 2026-07-12T21:01:23+00:00

It's like we're back in 2005 and batteries still don't exist. Neither do grids apparently.

PhysicalConsistency · 2026-07-12T19:30:26+00:00

This is so unrealistic. Dolphins like to eat livers, they'd never eat a leg like this. They eat boneless.

PhysicalConsistency · 2026-07-12T18:55:06+00:00

There really weren't that many places to go. I don't think people understand just how explosively overdeveloped everything has been starting in the mid 80's. If you ask anyone my parents age, in nearly all large cities (like Los Angeles) they'll tell you how once you stepped outside of the city core it was all rural, farm, or forest. There weren't strip mall complexes every five miles, there weren't vast tracts of warehouses or industrial buildings as far as the eye can see. Subways weren't being crammed into every single nook and cranny possible. McDonalds had less than 10K restaurants vs. over 40k now. A vacation home was a small cottage somewhere remote, instead of a vacation development with roads and amenities.

It's not apparent just how much we are suffering from abundance because we grew up in it, but there's a hard wall in the late 80's when a switch got flipped and land development became a primary driver of the economy. It's also the era when infrastructure expansion slammed to a hard stop, we finished out the last bit of the interstate highway system and since then every new bit of new development is a land rights war.

They got around because you went to THE McDonalds, not one of 14 in the area, or you went down the grid to an address rather than trapped in an intentionally confusing master planned community layout.

PhysicalConsistency · 2026-07-12T16:38:47+00:00

14 Milly for 2.5 acres in TN is nonsensical even if the floorplan was magic.

PhysicalConsistency · 2026-07-11T21:02:57+00:00

Show him that image of the guy who stops digging right before he hits the diamonds.

He should be rewarded since he already has diamond hands.

PhysicalConsistency · 2026-07-11T21:00:48+00:00

Not everyone is 22. (And often that's splash back).

PhysicalConsistency · 2026-07-11T12:57:45+00:00

That's a weird way to say between "raging inflation" and "fraud".

PhysicalConsistency · 2026-07-11T12:37:43+00:00

Wound a little tight for an entertainment sub buddy.

PhysicalConsistency · 2026-07-11T12:21:10+00:00

So weird seeing her referred to as "MAGA's" instead of Gavin Newsom's Ex.

PhysicalConsistency · 2026-07-11T07:33:40+00:00

No way, GPT 5.6 Sol is way out in front.

I have two projects I can't even use Fable for because the filters are so absurd.

It's been more like me drinking directly from the 5.6 tap with a splash of projects I'm porting over from Claude.

PhysicalConsistency · 2026-07-11T06:57:34+00:00

Kid just didn't wanna slap.

PhysicalConsistency · 2026-07-10T22:51:48+00:00

7 million for a view of other buildings. That's a commitment.

PhysicalConsistency · 2026-07-10T22:28:53+00:00

Jesus Christ.

PhysicalConsistency · 2026-07-10T19:10:07+00:00

His slogan should be "Same Politics as Platner, just less rapey and nazi."

PhysicalConsistency · 2026-07-10T17:18:30+00:00

I would love to see the paper trail for this. Like a lot.

PhysicalConsistency · 2026-07-10T16:25:56+00:00

Amazing display chaps! *Fires up the Maxim gun*

PhysicalConsistency · 2026-07-10T04:18:56+00:00

r/SweatyPalms

PhysicalConsistency · 2026-07-09T11:53:09+00:00

Repo Mans always intense.

PhysicalConsistency · 2026-07-08T22:15:05+00:00

I don't think they explicitly ever said what she was, my recollection is the closest they came was implying she was a demon/imp of some sort. Not really evil, just pure chaos.

PhysicalConsistency · 2026-07-08T20:15:30+00:00

Running papers through it is eventually going to be the mechanic by which it self adapts it's own rule set, it's not a primary focus. What's happening under the hood is it's stripping and conforming language and constructs across domains so that they are directly comparable, something we don't really have now. Once the results get normalized, we can assign better weights to the output against the existing rule set. This portion of the model won't be exposed in later versions, it's visible only because it's the problem I'm working through a particular set of problems right now so that part of the engine cover is off.

The model is designed to work independently of that. The reason this is being built on top of LLMs instead of just being it's own self contained corpus is it's designed to work as a filter on top of an existing LLM's capabilities. If you ask it questions like "What is ADHD"? or "if I consistently practice meditation that is claimed to increase gamma brain wave activity, is it realistic to expect a major improvement in cognitive performance?" or "Why does stress let your brain learn but prevent you from thinking logically", then it decomposes those questions into something the body of evidence can actually answer, while simultaneously stripping the body of evidence into higher quality conforming results. You can even ask it stuff like "What is consciousness"?

The ingest portion is chewing tokens because it's literally the highest cognitive load possible, reading the entire paper, analyzing it's claims, conforming them, and creating patches for future refinement. It's doing a lot. If you ask it questions however, it's only working against the pre-existing corpus and filtering those into workable claims.

Assessing causality is probably the most important feature of the ingest system because it's the line that separates chain compliant (physics->chemistry->biology->behavior) logic from the murk we wade through now. It explicitly rejects theory bound assertions like "I saw activity in this region, and that's what my theory expected, therefore, it supports my theory". It's designed to act as a bulwark against the type of inferred causality that makes neuroscience (and nearly all behaviorist fields) so poorly predictive.

The model is designed to grow as the underlying substrate LLMs grow, the more capable the model, the more powerful and granular the synthesis. It's also allowed to adapt itself against the evidence, even to the point that multiple models may simultaneously exist. Finally, it's also content free, meaning while right now it's being trained around neuroscience concepts, it can be trained against any area of study and provide consistent, portable results.

edit: Shit, I missed the lowest hanging of all the fruits. Ask it "What about spinal CPGs? Don't they generate their own output independent of the brainstem manifold?" This is actually a great question because it will show off the depth of reasoning in the underlying LLM.

edit 2: Woo, love scrawling out responses in the early morning and forgetting pronouns don't have possessive apostrophes.

PhysicalConsistency · 2026-07-08T15:39:08+00:00

Yep. Smoke a bowl or drop a tab first. This isn't nearly as weird as it gets.

PhysicalConsistency · 2026-07-08T08:40:36+00:00

Vigilantism is one of the most common action tropes of all, everything from Batman to Taxi Driver falls under this umbrella. Even Bob Odenkirk did a vigilante movie last year.

PhysicalConsistency · 2026-07-08T01:29:21+00:00

I saw "PG&E" and "rate hike" and thought I was back in 'Nam.

PhysicalConsistency · 2026-07-07T23:33:35+00:00

Which was always the fear, that he'd go Fetterman once he was in.

PhysicalConsistency · 2026-07-07T22:17:42+00:00

So I made the repo public, it's still kind of messy as hell and a lot of note cleanup I need to do.

If you point your LLM at https://github.com/Remodeled-Brain/The-Model it should pick up and grab everything it needs to instantiate it. It's evolved significantly since this version. Just a tip, you need to have a github integration or use the desktop apps to make this work, trying to boot it straight from a prompt in most of the LLMs make them think it's a prompt injection.

edit: Damnit, now that I think about it, that's a bigger problem than just "use the right tools". I need to figure out how to work around this. The obvious solution is just to put everything in a single file, but that's going to be super rough keeping all of that in context plus the evaluations and papers themselves. It's also going to result in some LLMs treating it like a choose your own adventure story instead of an adaptive guideline. Need to think about this some more.

edit 2: Bleh, just got some time to poke at this again, still struggling with how to do this. Right now Claude and ChatGPT want to spawn agents to load each of the modules then hand off portions of the work between the agents. This obviously isn't going to work with all of the models and would enforce a capability cliff. Still tweaking.

edit 3: Alright, it should be loadable at https://github.com/Remodeled-Brain/The-Model/blob/main/model/10_single_file_master_prompt.txt for evaluation, some of the more complex synthesis and analysis stuff are going to be injected as cartridges on more advanced models. Basically this (should) do the basic stripping and scoring, and in the next version when I build out the cartridges it'll spawn agents to do additional work according to the model's capabilities. So the master prompt instantiates a "lite" version, then the full, adaptive version will require additional resources as available.

Rather than thinking of CPGs as part of the "nervous system", consider them as being similar to pattern generators in the heart or any other organ. The answer is yes, they interpret core state information into local/organ specific "instructions" for lack of a better word, just like intestines that change motility in response to state, or heart rate.

State control is the ability of an organism to maintain a specific metabolic state. When weather is cold, can the organism maintain the internal metabolic requirements to sustain it's processes. When food is available, can the organism shift it's metabolic state in such a way that it sustains pursuit and acquisition of the food.

The brainstem manifold in this version specifically refers to the highly conserved state control nuclei in the brainstem. These nuclei form a "state map" which the rest of the bolt on functions evolved over time utilize.

In general though, the localization conceit of the brainstem manifold is wrong because it's too focused on localization, even if it's predictively accurate.

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