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imjonse

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Time for OpenAI and Anthropic to close the gap by spinning up Kimi K3 on vLLM and running a distillation attack.

Half-Baked Product 20 days ago

While the majority of comments are absolutely right in recognizing and lamenting such situations plaguing our industry, let's not forget this is an ultimate first world problem. It can be stressful and frustrating but we are a privileged bunch to be able to call this 'pain'.

A website stating the obvious, given small target audience it will probably reach, and a call to arms consisting in emailing a random unknown person.

We're saved /s

Instead of doing a vanity site with a shelf-life of a few days, see where the action already is in online local LLM research and communities and contribute.

The obvious question is, how many of those were the sort that writing in a memory-safe language would make impossible?

They should prompt one of the more adventurous LLMs to find security bugs and with some luck it will deviate from the prompt and rewrite ffmpeg in Rust.

Leave Me Behind 2 months ago

it wasn't about industrialization, but about not being complicit, the machine was the metaphor for the system (this was the 1960s)

If anyone cares about plants suffering they should go vegan, as many more plants are consumed to raise animals than would be if there was a direct plant intake in humans for the same amount of calories and nutrients. Ditto for land use, water, CO2 emissions, etc. but let's assume our friend cares strictly about reducing suffering short of starving themselves to death.

The real answer is something HN doesn't like so I won't advocate it openly, but it involves society paying to take care of people to provide homes, provide medical access, things like this. Neither party is interested in that.

There are enough people on HN who think working social democracy is a great option; not everybody here is a libertarian cryptobro, an eastern european with decades-long PTSD or a hardcore conservative.

Neovim 0.12.0 4 months ago

It probably goes against Vim tradition, culture and freedom to choose, but I wish they added even more built-in features (like Helix) that are currently implemented in competing and sometimes brittle plugins and have to be put together into also competing vim starter packs and distros of plugins and config files just to have a modern setup out of the box.

"The TurboQuant paper (ICLR 2026) contains serious issues in how it describes RaBitQ, including incorrect technical claims and misleading theory/experiment comparisons.

We flagged these issues to the authors before submission. They acknowledged them, but chose not to fix them. The paper was later accepted and widely promoted by Google, reaching tens of millions of views.

We’re speaking up now because once a misleading narrative spreads, it becomes much harder to correct. We’ve written a public comment on openreview (https://openreview.net/forum?id=tO3AS KZlok ).

We would greatly appreciate your attention and help in sharing it."

https://x.com/gaoj0017/status/2037532673812443214

I was a bit worried you are paraphrasing Rob Pike, but no, he actually agrees with that Knuth quote.

I am almost certain that people building bloated software are not willfully misunderstanding this quote; it's likely they never heard about it. Let's not ignore the relevance of this half a century old advice just because many programmers do not care about efficiency or do not understand how computers work. Premature optimization is exactly that, the fact that is premature makes it wrong, regardless if it's about GOTO statements in the 70s or a some modern equivalent where in the name of craft or fun people make their apps a lot more complex than they should be. I wouldn't be surprised if some of the brutally inefficient code you mention was so because people optimized prematurely for web-scale and their app never ever needed those abstractions and extra components. The advice applies both to hackers doing micro-optimizations and architecture astronauts dreaming too big IMHO.

On the LLM Architecture Gallery, it’s interesting to see the variations between models, but I think the 30,000ft view of this is that in the last seven years since GPT-2 there have been a lot of improvements to LLM architecture but no fundamental innovations in that area.

After years of showing up in papers and toy models, hybrid architectures like Qwen3.5 contain one such fundamental innovation - linear attention variants which replace the core of transformer, the self-attention mechanism. In Qwen3.5 in particular only one of every four layers is a self-attention layer.

MoEs are another fundamental innovation - also from a Google paper.