woadwarrior01

Better yet, use Apple's container CLI if you're on a Mac, instead of the docker bloatware.

container run --rm -it -v "$(pwd)":/work -w /work myaiimage /bin/bash

FWIW, I left a VC backed startup where I was an equal co-founder because my co-founder was committing securities fraud (blatant lying about customers and traction in investor update emails, amongst other things).

I presented all the evidence to the investors when I was leaving, and I was told that they'd rather let the startup die a natural death than suffer the "reputational harm" that'd come from going after the charlatan. ¯\_(ツ)_/¯

Something related that I've thought of for a long time. Browsers have had the BroadcastChannel API for almost a decade now, and yet sites like HN and Reddit don't use it to synchronize state between multiple open tabs.

I suspect this acquisition was a response to NVIDIA's acquisition of Groq.

Cerebras is already public. AFAICT, there are 8 other startups in the space, some of which have mature products: Etched, d-Matrix, SambaNova, Tenstorrent, Positron, FuriosaAI, Rebellions and Fractile.

Haven't you seen the kernel optimization case study at the bottom of the page? They compare against GPT-5.6 Sol and their model is worse.

I haven't compared it for perf, but at first glance this appears to be an LLM (text-only) while both binary and ternary bonsai 27B models are VLMs (where the vision tower and the adapter MLP weights are unquantized and kept in float16).

At first glance, this work might also be relevant for quantizing diffusion transformers (something I'm working on at the moment).

Wow, I can't believe that the author is still updating the book! I'd learnt protected mode assembly from an older version of this book, decades ago. And IIRC, there was an even older 16-bit version of the book back then.

Deuterium or tritium? Deuterium is a stable isotope and does not decay.

I'm not making any moral judgements based on it, merely observing it.

> The measured result is a reference point, not a performance ceiling.

Claude was here.

Could this possible be the first AI worm? Or are there any priors to this?

Wouldn’t that be TAT?

Those were voluntary disclosures by two Anthropic researchers and the security firm Calif. I know one more CVE on the list that was discovered using an AI agent and wasn't disclosed as such. I suspect there are many more.

Interestingly enough, this and many other related ethical conundrum were covered in the Nuremberg Charter from 1945.

Hey, thanks for doing the right thing. There's no need for an apology.

> cc-by-nc is a protection against that.

I don’t think so. There are CC licenses that allow for commercial usage. Most companies ban their developers from using anything with an NC or GPL style licence (with an exception for the Linux kernel).

Also, you might want to speak to an IP lawyer about the legality of re-licensing a derivative of an MIT licensed work, without attribution.

Blink to approve. :)

I think the fully autonomous weapons systems restriction is not a very serious one and is very easy to circumvent.

What if you can hire a human to push a single approve button? And what if that human's job is to front load approvals by pressing the approve button a few thousand times, every morning?

Why extend an MIT licensed model's weights (BiRefNet) and release it under a cc-by-nc-4.0 license?

Since the model is natively MXFP4, I think it'll be even more interesting on the hardware front. It'll comfortably fit on a 8x AMD MI355X node. I suspect that'll drive token prices down, further.

You might want to look at Peewee's query filtering syntax.

https://docs.peewee-orm.com/en/latest/peewee/querying.html#f...

Great to see ruff, ty and uv being actively developed, even after Astral was acquired by OpenAI.

aka Baksheesh in the Middle East

I do this, but with Post-it notes. Something to do with the deification of books in the culture I was brought up in, which makes writing on the margins of books a sin.

Also, people seem to be oblivious to the existence of the neo-cloud: Nebius whose services and servers, a lot of western AI companies use. Nebius was spun out of Yandex 2 years ago to assuage the "supporting Russia" allegations and is still run and managed by an ex-Yandex crew. By that measure, I suppose using a lot of western AI tools is also equivalent to "supporting Russia".

Krea-2-Turbo and Z-Image-Turbo, both offline.

Thanks for bringing this up. You're 100% right. But most people, even technical ones are oblivious to how much of a difference modern samplers and higher quality quantization algorithms make for on-device LLM inference and are stuck with good old top-p, top-k samplers and RTN quantization.

TBF mlx-vlm does support min-p sampling, but none of the other modern samplers that you list. Ollama and LM Studio are even worse with only top-p and top-k samplers.

It is a reasonably non-opinionated model. My usual test is to ask these models to generate comic book and cartoon characters that hosted image generation models refuse to generate. I think that text is just CYA legalese.

I've seen this pattern repeated in a number of large production codebases using optional booleans.