Well you don't need to worry unless you are already on the list.

These days getting on a list may require as little as "is trans" or "has immigrant parents."

or "your competitor donated to Musk/Trump campaign"

I think the main point of local model is privacy set aside hobby and tinkering.

My vibe question checking suggests otherwise. Even o3-mini-high is not as good as r1, even though it's faster than r1. Considering o3-mini is more expensive per token. It's not clear o3-mini-high is cheaper than r1 either even r1 probably consumes more token per answer.

well in my anecdotal tests, o3 mini (free) performed better than r1

I did math tests. Probably you did coding.

Also in my coding testing o3 mini (free) is better than r1.

They are definitely step function improvements in regard to inferrance cost of the same level of reasoning intelligence.

Only because OpenAI overpriced o1, like they did with GPT-4.

Americans need to understand that the Chinese are not obsessed with the US. They don't have a saboteur mindset. They want development not because they want US to fail and China to win. It's really sad to look at US state of affairs right now. It used to have a mindset if abundance. It definitely doesn't right now.

The US has always had a mindset of "abundance for us and allies, scorched earth for anyone who dares to oppose us". But players profiting while helping build up American abundance is OK, but that's about it - as soon as you're challenging US power (not necessarily directly, but just by being as successful as the USA at something), that becomes a huge problem and you need to either swear fealty or be stopped.

The USA has never once had friendly relationships with a large power, perhaps with the very special case of the USSR alliance during WWII (and not a second after it). The European powers and Canada are extremely US friendly and support US policies (at the head of state level) in almost everything. Relations with China were good while China was a weak and poor state, acting as almost slave labor for the USA - not great now that they are rising up. Relations with Russia were good for a brief window after the fall of the USSR, while Eltsyn seemed to be "our guy", but quickly soured when it became clear he would not dance to their tune (not to sya that he was a good man or that his disputes with US intentions were good - Russia would have probably been in a better state if it had allied itself more with the USA, rather than becoming the belligerent territorial authoritarian oligarchy that it has).

Deepseek inference API has positive margin. This however does not take into account R&D like salary and training cost. I believe OpenAI is the same in these aspects, at least before now.

This is actually good. I expect them to utilize this in code editing as well if there is some real efficiency gain under the hood.

DeepSeek is an open source model. You can download it and run it locally on your laptop already.

So any OpenAI user ( or competitor even) could take it and run a hosted model. You can even tweak the weights if you wanted to.

Why pay for OpenAI access when you can just run your own and save the money?

The one your laptop can run does not rival what OpenAI offers for money. Still, the issue is not whether third party can run it, it's just the OpenAI seems not putting API as their main product.

LM Studio version is here: https://lmstudio.ai/model/deepseek-r1-llama-8b

Brzezinski wrote about US not wanting an integrated Eurasia (the heartland), so that Europe can be more dependant on the US. Germany used to have more integration which make its industry thrive because it can take advantage of Russia's cheap energy and China's industrial goods for its industry. Ukraine war completely changed that, which marks the first time since World War II that Germany has faced two consecutive years of economic decline.

The current copyright system is clearly broken. Copyright itself is not a natural right but a construct that was created relatively recently to incentivize innovation within society. Currently, we still want to train models using copyrighted materials. What we don’t want, however, is for companies to use these materials without giving back, especially to the content creators themselves, such as book authors, publishers, Stack Overflow answer writers, and Stack Overflow as a platform. We need to find a way to properly compensate these contributors to keep book writing, answer writing, and other creative efforts going, preferably while keeping the content publicly accessible. In the future, I hope we can figure out a model that might draw inspiration from music streaming (though perhaps not exactly like it).