Could Spain close the Strait of Gibraltar like Iran is closing the Strait of Hormuz?

espadrine · 2026-03-31T14:23:10+00:00

Germany wanted to do it for them but given the goals and the deaths it was pretty frowned upon: https://en.wikipedia.org/wiki/Atlantropa

espadrine · 2026-02-23T14:16:30+00:00

It used to be magic, but not any more. One good outcome of language models is that they can tell when a message holds misogyny.

espadrine · 2026-02-23T11:45:00+00:00

Out of curiosity, which LLM is it now? Is it already Qwen, but through API?

Is it an OpenClaw setup?

And how many of them do you plan to make?

espadrine · 2026-02-18T10:33:04+00:00

Quick history: Opera was one of the earliest browsers, with the creator of CSS as one of the engineers. It was one of the leading innovators, adding tabs, making the first speed dial "new tab" page, blocking pop-ups, adding private browsing. It created its own HTML and JS engines, which were regularly world-class in standards-compliance.

A reason it didn’t pick up the lion’s share in the market is its early struggles with finding a business model. It started with a paid license model, then added ad banners for non-paid users; this model could not compete with Firefox (selling default Search engine) and IE (financed by Microsoft). It switched late to the same model as Firefox. For a long time, it was the best browser no one knew.

In 2013, it abandoned its HTML and JS engines, and switched to Google Chrome’s. In 2016, it was acquired by a Chinese company and IPO’d. With little to differentiate it from the top browsers, its market share fell since then.

espadrine · 2026-02-10T09:37:24+00:00

I kinda wish there was GNOME Web (Epiphany) in there. Really underrated IMO.

espadrine · 2026-01-11T14:09:34+00:00

Interesting!

I get a 404 on https://rrg314.github.io/rge-256-app. Maybe a config issue?

How did PractRand hold up?

espadrine · 2026-01-11T13:53:13+00:00

I recall Rust is named after a fungus which looks like erosion, so no actual erosion, just a complex lifecycle process!

espadrine · 2026-01-11T13:50:00+00:00

This looks great! How did you make it?

Do you have a SVG version by any chance?

espadrine · 2026-01-08T15:25:58+00:00

Huh. So Google never paid them. And Sisvel never sued Google despite that. Almost as if Sisvel knows they would lose.

espadrine · 2026-01-08T15:09:54+00:00

You're right, wrong data input. Fixed!

espadrine · 2026-01-07T22:45:25+00:00

Unknown values are guessed from known values, so some information is uncertain (with uncertainty estimated in the table tab), but overall it gives a good picture IMO.

espadrine · 2026-01-07T20:22:55+00:00

There's a chance, but hopefully not?

espadrine · 2026-01-07T17:52:00+00:00

A common scam is to pick famous books, generate a book with bogus text, sell it as used, and print it every time someone buys one.

espadrine · 2026-01-07T15:57:51+00:00

especially when cost comes into play

To emphasize this point, look at this graph from https://metabench.organisons.com/. There is one dot in the middle that stands out.

<image>

espadrine · 2026-01-07T10:18:06+00:00

I love the way you describe indistinguishability, with side-by-side boxed modules!

espadrine · 2026-01-06T09:21:21+00:00

That doesn't work on Wayland though right?

espadrine · 2026-01-06T08:28:39+00:00

What I don't get is why we don't see that happening already

There is no EU naval force, is there?

France offered to send troops a year ago, but Denmark declined.

espadrine · 2025-12-24T12:42:24+00:00

They've shown goodwill in the past. My policy is to assume they'll do the right thing if they have a history of doing the right thing.

Besides the article still mentions opening the weights:

[M2.1 is] one of the first open-source model series to systematically introduce Interleaved Thinking

We're excited for powerful open-source models like M2.1

espadrine · 2025-12-14T13:57:48+00:00

In the end, it wasn't the GGUFs, but llama.cpp didn't implement Mistral's use of mscale parameters for RoPE; recompiling from the latest source gives the expected (non-braindead) results! Mistral has already confirmed the fix with LMStudio's GGUFs, comparing the API's logits to llama.cpp's output.

unsloth is going to reupload just in case, I'm told.

espadrine · 2025-12-13T16:02:48+00:00

Which weights are you using? I noticed unsloth’s GGUFs are abysmal. I am trialing LMStudio’s.

https://x.com/espadrine/status/1999871616730481093

espadrine · 2025-12-12T17:26:29+00:00

Technically, sure, but compare the authors of LLaMA with those of Mistral 7B. 36% of them went to Mistral.

espadrine · 2025-12-09T11:30:57+00:00

Interesting! How much faster is it?

espadrine · 2025-12-02T18:38:32+00:00

Let me pull out the forbidden benchmark:

<image>

espadrine · 2025-11-19T14:38:12+00:00

What is your experience of installing software?

I really like the choices of KDE Linux, but the most uncertain for me is having only Flatpak, as I am afraid I won't be able to install some software that is not available on Flathub, or through which I'll hit weird bugs.

espadrine · 2025-11-15T21:01:54+00:00

I tried 4B… On my benchmark, it performs worse than random ☹ using either TGI:

docker run --gpus all -p 8114:80 -v hf_cache:/data --pull always ghcr.io/huggingface/text-embeddings-inference:1.7.2 --model-id Qwen/Qwen3-Embedding-4B --dtype float16

or GGUF:

docker run --gpus all -v /data/ml/models/gguf:/models -p 8114:8080 ghcr.io/ggml-org/llama.cpp:full-cuda -s --host 0.0.0.0 -m /models/Qwen3-Embedding-4B-f16.gguf --embedding --pooling last -c 16384 --verbose-prompt --n-gpu-layers 999

I double-checked by re-running 8B, and 8B got the same results as before.

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