I find I kind of look at the whole agentic harness setup as a genetic algorithm. Your tests and specs are the fitness function for the program you’re evolving, and the LLM is the mutator. At each step it generates some output, it gets tested against the fitness function, the LLM gets feedback and iterates on it. Eventually something working falls out in the end. The better you can define the selection criteria the more you box the agent in the better results you get.
The trick I can recommend for getting the model to code is to ask it to come up with a phased plan composed of focused features, and then to build each feature on its own branch. That way you have a clear unit of work that does a specific thing which makes it much easier to review the code. Can also recommend tools like https://github.com/Fission-AI/OpenSpec for making specs to box the model in when it works.
You can run the Gemma 4 and Qwen3.5 MoE models with as little as 12 GB of VRAM at 30-40 tps (Q4/Q5), and they both blow GPT-4o and DeepSeek R1 out of the water. But 64gb RAM is also not really out of scale with the cost of a shop tool in other trades. If you’re a professional that’s confident in a positive return on the investment, or just a hobbyist with the luxury budget for a “shop” that cost is well within consumer market. That’s not everybody, of course, but it’s not some inconceivable fantasy.
The key point is that local models continue to get more efficient and usable. You need high end consumer grade hardware today, but given how fast improvements are happening, it’s entirely likely that you’ll be able to get the same capability on even smaller hardware in a few months.
I think Stalin was largely correct in what he did, the problem was that he left a system which failed to ensure strong leadership going forward. A stable social system can’t depend on a single strong willed individual being in charge and making the right calls. Continuity of competent governance, especially in time of plenty is the hardest problem to solve in my opinion.
And completely agree, China quietly outplayed the west. A lot of it was inherent in western hubris too. They really thought that theirs was the only way to develop, and they figured that China would have to become like them eventually and they’d fold it in. But it didn’t work out that way. Turns out people with 3000 years of continuous civilization under their belt know a thing or two of their won. Also, don’t know if you saw, but American media has now realized DPRK is doing rather well. https://archive.ph/b9zrS
The west really is starting to look like the final days of the Roman empire now. I expect we’ll start seeing provinces getting cut loose next and imploding economically. The UK looks like it might be the first to pop.
oh and just ran across this https://global.chinadaily.com.cn/a/202605/19/WS6a0c0718a310d6866eb4976d.html
I don’t think the crisis has been averted. It’s going to take a long time before energy prices get back to normal because restarting production can’t happen overnight. Just clearing the backlog of tankers in the gulf is going to take over a year. I also don’t see Israel stopping attacking Lebanon which means the fighting is likely to restart soon.
Trump wants to get out desperately, but he has no way out because Israel won’t play along. From Russian perspective it makes sense to play along though because it drives Europeans up the wall. And I don’t see what leverage he has left either.
And completely agree that strikes just serve to remind people in Russia why the war is necessary. The overall situation on the front won’t change, but it will help with firming up public support to remove the threat.
It does look like Russia is ramping up deep strikes on infrastructure especially now that the US ran out of patriots during their Iran fiasco. I think this will be significant over time, and affect logistics going forward which will accelerate the events on the front.
I saw a video just yesterday of some kid beating up TCK cause they took his dad. Yes, public is definitely starting to turn on them.
And American style propaganda does in fact have its origins with Goebbels, I might’ve sent this before. It explains everything very clearly. https://royallib.com/read/artemov_vladimir/psihologicheskaya_voyna_v_strategii_imperializma.html#0
the term is semantic drift


Actually, ReactOS and Wine have historically worked together and share significant technical overlap in the goal of reimplementing the Windows API, though they have different approaches and end goals. They’re separate projects now, but a lot of work in wine happened thanks to ReactOS.


yeah that’s true
looks like
And now everybody saw how the US can just cut access to their model at any time too.
We talked about this before, lack of a good selection process that allowed people of low competence to get into positions of power and created a bureaucracy which was largely concerned with preserving itself rather than solving problems was the ultimate cause of the decline. Simply telling people everything is great while you’re unable to produce substantive change they can see tangibly deligitimizes the system. And that’s precisely what we see happening in the west today, and why there’s now public disillusionment with liberal democracy.
And you’re absolutely right that Europe has been propped up to prevent genuine socialism from taking hold. The US didn’t pour billions upon billions into rebuilding western Europe after WW2 out of sheer altruism. They used it as a way to deligitimize communism in the east. Look how great Europeans are living, look how much faster things develop under capitalism. That was the whole narrative. This is a great read on the subject incidentally, confirms everything you said http://www.hartford-hwp.com/archives/27c/046.html
This is a caricature from a Soviet newspaper from 1955. Absolutely nothing has changed.
Yup, that cartoon is ever green, and just as true as the day it was made.
It never even crossed my mind that someone might try to harm me.
Exactly, there were just not thoughts people had back in USSR. It’s destruction was the biggest crime of the 20th century.
I really can’t see how relations with Europe could be restored at this point. There would have to be a revolution in Europe before that happens.
And I’m just going by what Zelensky said when Blumenthal visited. They openly stated that they’re going to be shuffling Syrsky out by fall, and it’s clear the directive is coming from the US. It could be that Americans are hoping to transition to something like Chechnya soon.


Yeah, LaTex has been a pain to set up historically, so making it more accessible is very welcome.
that’s cause it’s literally what it is, legalized bribery
it sure does, the US is just the most blatant about it


Might also pave a path towards governments moving off windows if it can run existing software they use.


yeah the entitlement here is off the charts


I mean all we can do is wait and see, but there’s nothing magical about this tech, and the geopolitical situation today is very different from what it was in the past. It’s not like Chinese people are too dumb to build a GPU, it’s that there was no real reason to push this tech hard before when you could just buy these chips from NVIDIA. Now that the US is actively trying to cut China off, there’s a reason to make this stuff work. Just look at how rapidly Huawei phones improved and how much progress Huawei is making with their chips in just past few years. Why shouldn’t this happen with other types of chips going forward?


It is a base that you can build on though which is a lot easier than starting from scratch.
I don’t mean you turn the program itself into a genetic algorithm. I’m saying that the agentic loop for producing code acts as one. The code itself is just regular code. And the loop isn’t really any more inefficient than what you do as a developer. It almost never happens that you write perfect code on a first try in practice. You’ll write some code, run your tests, look how it did, and iterate. That’s precisely the same process the agent follows.
The difference from a typical genetic algorithm is that the LLM is not just randomly generating text that eventually fits into the shape you specified. It’s generating code that’s already close to what’s intended most of the time, and it just needs a bit of massaging to get completely right. That’s the feedback loop here.