nazgul17

Exactly this.

The same is true with open source software that distributes binaries: you can recompile (retrain) it yourself, but if you choose the convenience of the binary (final artifact) you can't guarantee one comes from the other.

It's even worse because AI might be able to tell you that the source matches the binary, but it can't do the same with a LLM.

We have AirTags registered to my wife's account because I use Android. I have one in my work backpack, and every morning I get a notification that an unknown tracker is following me. I wish there was a way to silence the warning for that specific tag.

Automatic tagging of images is what I'm doing with it. I'm using a modified Gemma model, which ingests images (and audio, for that matter).

A bit of a tangent, but when can we expect storage prices to go down?

Jev's particular architecture is such that context can be filled faster than with LLMs.

But we are not buying oil or gas. We are buying hardware that will generate electricity for decades.

I do hope the US turns around. As I see it, we (western countries) have aligned values and it's better for us all (US included) to stick together.

Could you share more about how you guys set up the rewrite? I am interested in the shape of the software as well as how you achieved (or aimed to achieve) high quality.

Competition is better for everyone

GEN 1.5 demonstrates in-context learning and unseen-before generalisation

Makes sense, but I would hope the study design controlled for this, or designed around it.

My 5 years in school timetabling say: 100% agree!

But that's not what happened here. Here, you were trying to bring the pepper over, got inspected and somehow got rid of it because you were able to be found out.

Just a few years back, wind turbine software was hacked. This is serious.

Serious governments should (and hopefully will) scramble to use AI to discover and patch as many software vulnerabilities in infrastructure. They can do it with the agents red teaming and using ultimatums to companies to fix each vulnerability they find. Not doing so is equivalent to exposing your flank to disruptions in peace time and to attacks in war time.

There's alignment (trained in the weights) and there are constraints (in the "server harness"). My take is that this model was not yet aligned and had no constraints