zbendefy

Similiarly I wonder why we dont run our own email server despite the sensitive data there.

Dont have much experience how well they perform but quantized models can run on ~4 H100 or A100 which should be true for kimi k3 and qwen 3.8 as well.

I think they didnt have the amount of debt /negative cashflow as they do now.

I dont have estimates on the cost of running models, but I think openai and anthropic are running on subsidized prices. At actual prices it might be worth it in the future.

What harness are you using?

Maybe we would get a microphone on mars. Just kidding i know air pressure is vastly different, but still it would be cool to listen to ambient sound from there

Good point!

There is also the case for Markov chains being theoretically able to do these if tuned well. Or even SAT problem.

This reminds me of stuff like interns wiping the production servers.

The solution in the comments there is always "have backups" and "why can an intern do that stuff? why arent policies set".

But I dont think these can be applied to something like openclaw agents

i think so. The biggest hurdle with new languages is that you are cut off from a 3rdparty library ecosystem. Being compatible with C 3rd party libraries is a big win.

Tangential, but Flash had a nice side effect that the "app" could be exported in a self contained way via SWF.

Exporting this site for example in a future proof way is not that obvious. (Exporting as pdf wont work with the webgl applets, exporting the html page might work but is error prone depending in the website structure)

50 years from now, flash emulators will still work on swf files, but these sites might be lost. Or is there a way to archive sites like this?

>The user writes the data to CPU mapped GPU memory first and then issues a copy command, which transforms the data to optimal compressed format.

Wouldnt this mean double gpu memory usage for uploading a potentially large image? (Even if just for the time the copy is finished)

Vulkan lets the user copy from cpu (host_visible) memory to gpu (device_local) memory without an intermediate gpu buffer, afaik there is no double vram usage there but i might be wrong on that.

Great article btw. I hope something comes out of this!

What has changed now in the memory landscape/ai workload in the recent months compared to summer or spring?

there is also a vr mod for HL1 as well

My takeaway is that sandboxing should be more readily available, and integrated into the OS.

I used sandboxie a while ago for stuff like this, but afaik windows has some sandbox built into it since a few years which I didnt think about until now.