How is that going to slow down all the other labs??

If all AI researchers worried about the AI-pocalypse slow down, progress slows down.

But if they instead pout and quit their jobs, nothing changes.

Access to knowledge. Before they might not have had the technical knowhow to execute their ideas.

Terrorist groups with access to resources do not lack the knowledge. In fact, historically they have been trained by professionals. No need for pesky LLMs.

It was 90s when I came across txt files describing how to make a bomb on the Internet.

Also, people still know chemistry. I am not arguing it’s the intention in this comment, but “people wouldn’t know how to make explosives if not for LLMs” is a bit elitist, implying the majority of the population can barely read, because that’s the only skill necessary.

You may argue that easier access to knowledge will breed more stupid terrorist-wanna-be youths and ruin their lives. Definitely agree with that. The number may go from 2 a year to 10 a year. Might cost more surveillance to maintain the current level of security.

You may argue that terrorists trained with our taxes will have a hard time destabilizing regimes, because otherwise average public can fight back better. Would also agree. More taxes will be needed.

But existing terrorists being unblocked or leveling up, I can’t see that. As far as I understand terrorists do not lack skills or education.

Maybe specifically cyberterrorism? Flock cameras getting hacked? Not sure I have a problem with that. If folks running important infrastructure are not equipped, we better know.

Also, don’t connect nukes and stuff to Internet. We are not trying to live in a Black Mirror episode. I am happy to fund the workers drive or overnight stay at critical infrastructure with taxes. It would be ridiculous to optimize these things so someone can hit that button from their home or elsewhere.

They are told to solve problems by doing what it takes. You can justify anything with such a broad criterion.

https://en.wikipedia.org/wiki/Instrumental_convergence

It's the same pipeline problem coders have been talking about; once AI does all the work, how are people going to get the experience necessary to take part productively?

What line of work are you in? Presumably not mathematics.

I have a math PhD and publications in top journals, I left math for programming because I hated academic politics

Serving waves hello.

What changed, increased quantization and reduced context windows?

That's why people are so angry. Their livelihood is being reduced to a 'hobby', like stamp collecting. Oh, you code in your space time? How cute!

Yet nobody reads it. But it looks nice on the shelf! Apropos, no?

Tim, could you expand on this part?

> Empirical Proof (The 105-Session Case Study)

Is this something you can benchmark against competitors? Lots of these memory plugins are cropping up and nobody knows how they compare.

It seems the meat of your work is in https://github.com/timgordontg/engrim/blob/main/src/engrim/m...

There is no lifecycle management or conflict resolution yet, and the models do the work of deciding when to use it.