yogthos

You don't have to do anything, the open source models that are published don't censor themselves. And the online version of deepseek is the full model. They charge for API level access for it.

:)

Not sure if anybody is hosting it online aside from the official instance. Running locally or using something like GCP to host your own private model is basically the way to go. Unfortunately, smaller sized models you can run locally aren't quite as good as the full blown version. Still can be quite useful though, and they are rapidly improving as well. I've found qwen 3 to be the best local option right now.

I don't find there's any substantive difference between neocons and neolibs, especially on foreign policy.

Yup, none of this would be happening if Iran had nukes.

Indeed, and I'd argue the education system is overly focused on testing where people just cram for the exams and then forget everything after. The point should be to help people develop their reasoning skills, creativity, critical thinking, but none of that really happens in practice. Stuff like LLMs coupled with the public that isn't able to think critically definitely seems like a recipe for disaster.

I find LLMs often end up generating more, and better tests than I would by hand. So, on the whole I do find them to be a net positive for that sort of stuff. The tests tend to be the part I do try to pay attention to, and I treat them as a contract for what the LLM produces. If the tests make sense, they're comprehensive, and they pass, that basically acts as a contract for what the code is doing. I also find tests are inherently the kind of code that should be fairly easy to follow since each test tends to do one thing, and the surface area is pretty flat.

My prediction is that the nature of programming is going to change in general. We'll probably see languages emerge that focus on defining contracts, so the human can focus on the semantics of what the program is supposed to be doing, and the LLM can handle implementation details. That's sort of the direction we've already been moving with high level languages and declarative style of programming.

I thought this take was actually pretty interesting. Yegge is extrapolating a very plausible future where most of the implementation will be handled by fleets of agents with the human being at the very top of the chain. The really big breakthrough that happened just a few months ago has been with having agents actually use tools and iterate on a solution. At this point it's only a matter of time until we start seeing stuff like genetic algorithms coupled with LLMs to have them iterate and converge on a solution. AlphaEvolve is a good example of this approach already being applied in the real world. I'm also expecting people will start to dust off other ideas such as symbolic logic and coupling that with LLMs to make systems that can do actual reasoning. We're living to an event akin to the industrial revolution in the domain of software development.

This will be interesting to watch for sure. While I'm generally skeptical regarding the alarmist claims regarding LLMs, the impact these tools have on cognition is not well understood. This is particularly problematic in the context of kids whose minds are still developing, and while they're still learning to process information. We've already seen other technology, such as social media, impact attention span and learning. It stands to reason that LLMs will have a negative impact here as well.

It's literally an existential war for Iran.

these two books give excellent historical context on China

• The East Is Still Red Chinese Socialism In The 21st Century https://archive.org/details/the-east-is-still-red-chinese-socialism-in-the-21st-century
• People's China at 75 – The Flag Stays Red https://redletterspp.com/products/peoples-china-at-75

seconded, excellent analysis in the book

If somebody doesn't cater to the west do they even exist?