navigate8310

It's called malicious compliance

It's not only about being open but predictability and unforeseen rug pulling.

Quad9 has horrible latency and frequent query failures, I hope Mullvad encourages them to improve their routes

I used Mistral 3. It costed me literally pennies. My workflow was kinda rudimentary but it worked really well. I suggest take a look at this https://github.com/docling-project/docling as well.

I OCR'd my Chinese textbooks and made a stateless MCP that allows me to ground my Chinese language studies according to the textbook only. With this I can start a quiz, understand differences between words that have similar meanings knowing no extra grammar is fed when reviewing. I specifically use it with glm 5.3 as it is the most language specific LLM that understands nuances.

Here's the repository: https://github.com/iodize6399/xuexi-keben

And here's the server itself: https://keben.555420.xyz

I shed many tears after I read the article even though my mom is still alive, I shudder to think of the day I lose her

One can argue, this would be an unintentional tracking of the population by government

I'm surprised some banks don't provide a CSV export for statements, even if some do, they format it a XLSX file with images and meta descriptions in as header

I don't think OP meant any non-negative reaction towards Raymond but MSFT.

Since you liked Orbis Pictus, you'll definitely appreciate The Way Things Work

What stops the LLM not to iteratively think and expound upon before emitting the final tokens?

At one point the amount of human induced accidents will increase since no human can account for sudden erratic brakes of a self driver, even though it predicted a correct incoming accident with another V2V connected car.

This made me realize all those benchmarks which unlike loosely acts as a person being awarded with a certificate after his doctorate is rather worthless, for you never know when it bullshit-ted.

Here's another sandbox that I found interesting: https://github.com/ashishb/amazing-sandbox

I just made my own devcontainer that I copy on any project and load whatever harness I want in that repo. Harnesss' config and auth are simply mounted from the host, so no setup required at all.

https://github.com/iodize6399/ai-devcontainer/tree/main/.dev...

Unfortunately, Chromium is widespread and extremely optimised for any HW it lays its hand on.

You can't easily and legally lift the corporate veil

How did it go?

Huggingface being a laboratory harbouring dangerous models in hibernation, should've been more careful from start

All mobile roaming traffic is tunneled through your home country. The host network simply forwards everything to and from your provider at home.

China, Iran, Russia

However, it may be consumer prices for everyday electronics will not crash anytime soon

Without even looking if it's worthy of evidence or not?

Isn't there an intention on part of the agent itself? I know it's impossible to _punish_ the matmuling agent, however, the lab/owner operating it should be liable

I think, those both are contradictory and completely occupy the bandwidth when engaged one way, it's mutually exclusive.

How are these models compared to world models by Waymo and Tesla, assuming their models are trained for recognising objects that can be further generalized for everyday chores?

NorebookLM sounded a little scholastic

I always run harnesses using devcontainers, gives me much needed flexibility and peace of mind with regards to data separation guarantees

Might as well provide a method for good discoveries, as the current channels are extremely lifeless

Because those OTPs can be intercepted by any MITM unless you are using on-device 2FA generated by an app.