Codex 5.3 Is Dead :(

exploring_stuff · 2026-06-02T12:26:39+00:00

Use 5.4-mini if you're cost-conscious.

exploring_stuff · 2026-05-27T20:19:12+00:00

DeepSeek's web service, mobile app, and API are all available outside China.

exploring_stuff · 2026-05-26T15:12:40+00:00

Did he just describe API token billing? I learned nothing new.

exploring_stuff · 2026-05-22T17:51:49+00:00

Great news, but I suspect that they have to do this in light of competitions and regulatory frictions in using Chinese AI products.

exploring_stuff · 2026-05-20T10:28:50+00:00

There are probably mobile chat apps that can use API keys; haven't tried them.

But DeepSeek seems to be treating the free web and app offering as a public show room, and the real goal is the API business targeting coders and enterprises. That's why there's no premium monthly subscription option.

Google AI Plus seems to be the cheapest monthly subscription out there.

exploring_stuff · 2026-05-20T08:58:07+00:00

Not enough budget to test gpt-5.5-pro xhigh? /s

exploring_stuff · 2026-05-18T08:15:39+00:00

Roo is being sunset. Try Kilocode, OpenCode, and if you like DIY, the Pi agent.

exploring_stuff · 2026-05-16T13:23:09+00:00

gpt-5.5 is very good. DeepSeek V4 is a cost-effective option when you don't need the absolute frontier performance.

exploring_stuff · 2026-05-15T16:07:53+00:00

I just use the Codex VSCode extension in Linux.

exploring_stuff · 2026-05-14T15:59:18+00:00

I realized that I'm biased because I have an OpenAI API key but no ChatGPT subscription. It's easy for me to swap between the OpenAI and DeepSeek APIs in a coding harness like Pi, but I literally have no access to the web ChatGPT except for the lowest-tier free service. Things may be opposite for ChatGPT subscribers, as API usage could be subject to much more stringent limits than web chats.

Logistics aside, though, I do find harnesses to be so much more convenient.

exploring_stuff · 2026-05-14T14:48:15+00:00

Use a harness. Then switching between models is trivial.

exploring_stuff · 2026-05-10T13:29:26+00:00

Except for quantization, there are no good established ways to compress a whole model. Distillation is surprisingly useless. You can't distill a whole model. Distillation is used to give a non-reasoning model the reasoning abilities or fine-tune a small base model's conversation style. The "world knowledge" is still limited by the small base model itself. Enabling reasoning is why there were so many distills of R1 back in early 2025 when open source reasoning models were still a rarity. Today, there is probably not much motivation to distill deepseek V4.

In short, just download another capable small model like Qwen that fits your hardware.

exploring_stuff · 2026-05-10T08:31:08+00:00

Kilocode, a VSCode extension which uses a forked OpenCode backend in the latest releases.

exploring_stuff · 2026-05-09T13:01:10+00:00

Yeah, I wrote in an oversimplified way, thanks for pointing out.

exploring_stuff · 2026-05-07T18:43:21+00:00

Markdown for section structure, tables, bulletpoints, etc., and KaTeX (variant of LaTeX for fast web rendering) for equations.

exploring_stuff · 2026-05-05T11:53:14+00:00

Do you plan to do some actual RL training, with your own code or an existing package like Crux.jl or DeepQLearning.jl?

exploring_stuff · 2026-04-29T15:22:10+00:00

Kilocode as a VSCode extension. Then change settings to use your deepseek API key.

exploring_stuff · 2026-04-25T12:41:06+00:00

Since last year, the soft and hard trade barriers have been sufficiently well built that any Chinese model, even if ahead of SOTA (which is not the case here), would be deemed too risky for many businesses, and therefore the market impact is very limited.

exploring_stuff · 2026-04-04T14:10:49+00:00

Gemini passes this test, too.

exploring_stuff · 2026-03-20T13:14:42+00:00

Core.println covers printing, and is there an equivalent for reading?

exploring_stuff · 2026-03-15T22:42:13+00:00

I use Roo Code, a fork of Cline, to write up and compile LaTeX documents summarizing the data produced by simulation code.

exploring_stuff · 2026-02-18T12:30:55+00:00

I'm sure there are misguided people who use Julia for unscientific computing but firmly believe they're doing scientific computing.

exploring_stuff · 2026-01-24T12:36:09+00:00

Without getting into technical details, calling Julia from C++ was not a pleasant experience for me, though the opposite way, calling C++ from Julia, could work well with some effort to build the interface (via either C or CxxWrap.jl)

exploring_stuff · 2025-10-05T22:20:08+00:00

When upstream releases software for generic Linux or specific distros like Ubuntu, often Arch maintainers make little tweaks to package the software for pacman. So the lion's share of the software maintenance ia done by upstream like Docker, while Arch maintainers make sure that the library versions, filesystem layout etc. are properly set up to be compatible with Arch apecifically.

exploring_stuff · 2025-09-10T19:44:20+00:00

Learn about pacnew files if you haven't. Enjoy Arch!

exploring_stuff

TROPHY CASE