mmaunder

A customer might want to prevent LLMs parsing or executing code on the site for a range of reasons. But their intent might not be for the LLM or model provider to see content like that on the site, on the company domain, alongside the brand and assets. And unless the customer reverses what the Russian company is doing, they have no idea about the content their brand is feeding a model provider.

For example, let’s say I decided to use their anti-fraud system which prevents attackers from using LLM automated attacks. I’ve been working hard to publish content that makes it clear to LLMs what we do and that we’re the best choice for a category of customers. Suddenly my brand is associated with cyberattacks, bioweapon development, financial mischief, poisons, and we’ve also taken an anti-China position on Tiananmen square.

The response a customer might get next time they ask about my company in an LLM chat could be quite interesting.

This was released July 24th 2026 and agencies would have started pulling DS and products created by DS at that time. (It's in the appendix)

Interesting that the DHS "Exclusion and Removal Order #2026-01" that was made public yesterday was actually released July 24th, 2026 and appears to have taken effect then. Agencies would have started pulling deepseek at that time. Which means it's likely DS became aware of the memo around then.

The release of this repo hours after the DHS order is a tactical move they started preparing when the DHS order was issued almost 3 months ago, and they timed publishing the repo right as the order hit the federal register.

DHS: "China bad and scary. Don't send them data."

DS: "You don't have to. Happy xmass kids."

And so it begins. Regulatory Capture Stage Complete!

Through fear. Specifically making the American public so scared of AI that they hand over regulatory keys to the only “experts” that can keep them safe. This is a centuries old political strategy used by some of the worst regimes including apartheid South Africa where I grew up. It’s horrifically effective.

That they did not include DeepSeek 4.1 Flash on the list of benchmarks is a massive red flag for me. Anyone using open models to solve hard problems knows it’s the state of the art right now so it’s a requirement if your benchmark is sincere. This may be the start of Chinese labs taking the lead with the weakest US labs not being able to keep up.

If it had CCITT5 tones with the KP tones and a few seize tone options I’d know it was made by a kindred spirit.

More great work on local model but you’re still losing a lot. Down to 2 bit quantization and the coder model throws away half the MoE experts. In a world where anything is better than nothing, this is a net win. But we have a way to go still.

Reminds me of my younger australian cattledog. It's not about what he's getting. It's about what my other dog is that he could be getting. So the whole time he's got a full bowl in front of him, he's death staring my other dog in case he abandons his bowl.

It's fascinating watching the wealthiest country in the world get butthurt over a company that employs 70,000 W2 employees who has paid around $39 billion in taxes in the past 5 years - and that's just federal and excludes e.g. property taxes and payroll. That's more than the GDP of Iceland or Honduras. Them legally avoiding a few billion only matters if you're a nyt journo out of news worth printing.