computerex

People know it’s happening. What do you expect an average consumer to do about it? Pay more out of pocket due to the potential national security risks?

I know GLM is relatively expensive and so is Kimi, in comparison to those DeepSeek V4 pro and flash are a godsend and are absolutely good value.

That’s not remotely true. They did distillation as a cheap solution to the cold start problem. You need data/trajectories to hill climb to higher capabilities. All large Chinese labs do RLAIF.

Why not? They are relatively easy to make so why not. Even I made one: https://github.com/computerex/z

Not really. I have spent 163M deepseek v4 flash tokens in July and it literally just started.

https://i.postimg.cc/MHhgwsv0/image.png

It's for mathematics. There is this programming language: https://lean-lang.org/

If you can express a solution in Lean you can formally prove or disprove it. Formal verification is making a debut in traditional engineering toolkits.

You may be ok with the harness doing 100 things that are not what I am using it for. But none everyone is, and it’s hardly hysterical. Perhaps you are simply careless.

I made my own! https://github.com/computerex/z

Llama was great for research and propelling the opensource community but they haven't been a serious competitor in a while. Whereas Google is one of the top 3 AI labs in America.

I don't want my harness doing sneaky stuff like this. I don't want my harness data mining me. I want my harness to implement the agentic loop and I want it to be transparent.

To be honest, OpenCode on Windows has not been the most pleasant experience either.

I have had bad experience with neuralwatt GLM 5.2. Seems like they may be using quantized version of the model.

It's very simple. I have told Claude that it's my chief of staff and that it must delegate all tasks to subagents. That as my COS it must show initiative and only come to me for vision/decision making. I have hooks further enforcing this. It works really well because I am usually working on like 12 things at once. Feels like playing simultaneous chess. The COS agent helps me context switch/orchestrate everything. Subagents have their own context window so the COS context does not get polluted/filled up with low level subtask details. COS can effectively prompt the subagents. My main session does grow and I compact it from time to time. But since all the WIP is already captured in external state, compaction of the main session does not degrade performance.

I have used this same pattern in my own harness and it works well there too. https://github.com/computerex/z

I hooked an instance of my harness up to telegram and now I talk to it from everywhere it and dispatches work out to subagents.

I work in a completely different manner. I have a chief of staff agent, which is one Claude code instance that orchestrates work across all my projects simultaneously with sub agents. In this way the agent helps me context switch and drive work towards everything I’m working on. I only use 1 session, I compact when necessary with todos and on file system files to track wip

And in any case, why do people keep leaving those satisfactory countries for America?

https://www.census.gov/newsroom/blogs/random-samplings/2026/...

America used to be a great place to be. To put it in perspective, I myself am an American in the top 5% of earning households. I am strongly considering leaving. The value is no longer here. I don't want to live in a country where my healthcare is conditional, on principal. I don't want to live in a country where the Epstein class is protected.

Your point is totally and completely wrong. Germany has public benefits that actually matter. Germany's average life expectancy is ahead of Mississippi by *10 years*. Germany ranks as one of the highest in the world in general satisfaction of the people, Mississippi does not.

Except capitalism is a zero sum game. The two people you talk about that are multimillionaires are lucky. For each person you know that has made it, there are thousands of people that are equally as hardworking/talented but are destined to slum away for the rest of their lives.

All human beings deserve to live a happy life. We live in a world where few have accumulated more capital than they could ever spend in their lives while others starve to death.

I don't think anyone with a good moral conscience can support America's brand of capitalism. We live in a world where few live, the rest survive.

How facetious. Are you really comparing LLMs to random word picker? What a poor counterargument.

My argument is that randomly accusing something of being AI and pretending that it's bad merely because you think it's AI, is not good/good faith. Whether you think some writing is AI or not is besides the point. If the writing sucks, explain why. Not everyone shares your position that if something is written by AI it's automatically bad.

And for the record, you can have a lengthy conversation with an AI to communicate your ideas and then use the AI to draft the message. It'll have AI tells in it, but so what?

Your argument is basically ad hominem. Ideas should be evaluated on merit.

I think you are going by vibes.

How do you know this is written by AI? Why does it matter if it is?

Not really, you can literally have Claude set it up for you.

Maybe hackernews has older crowd. Windows was the defacto developer OS for a very long time.

Nothing compares to Opus when it comes to "taste" in web design in my experience. Nothing compares to opus in very difficult HPC/model inference development. I worked on this with opus: https://github.com/computerex/dlgo

OpenAI was offering 2x usage at one point and I still used opus just because it's so much more effective.

For HPC/ai work opus blows gpt away, it’s no competition.

The flip side is that benchmarks are gamed even by the top labs. Benchmark performance doesn't necessarily correlate with real world performance.

I am not sure if you are testing qwen 3.5 9b. I would also verify that you are running it correctly. Qwen 3.5 9b is actually a very capable coding model that can do agentic coding albeit it’s obviously not as good as opus.

You can look up the benchmarks on that model as well. Your experience does not align with mine.

You are actually referring to open weight models, not open source. Gpt-OSS is an example of an open weight model. It’s highly capable in agentic settings, people use it for coding all the time.

My greater point remains. Models like the qwen variants, minimax, k2.5, glm models are available by American providers like AWS at a much cheaper price than api offerings from the big three LLM providers.

Your point about Chinese models being cheap only on Chinese hardware makes absolutely zero sense. You can check out the model catalog like together ai’s qwen 3.5 9b offering. It’s 25 cents for 1M tokens vs the ridiculous $5/1M tokens for haiku.

That depends on the use case. For a lot of business use cases they are good enough. They are certainly better than older models like gpt-4o.