KidComputer

> Move fast and break things is why we have progressed from chopping off people's limbs and giving them cocaine to now.

This is just false. Healthcare does not move fast.

As a hiring manager, I personally wouldn't hire any of them.

Shredders have legitimate uses, this is more like a ghost gun. It's pretty much only used for breaking the law.

Probably because the entire population of Montana makes up just one neighborhood of NYC

What additional benefit do you bring over just running ControlNet myself?

I think you misunderstood my initial comment, the point I was trying to make is that it's the amplification of the abilities of bad actors that should be of concern, not AI going rogue and deciding to exterminate the human race.

If one were to actually try to do such a thing you wouldn't need a LLM. For a very crude pipeline, you would need a good sequence to structure method such as Alphafold 2 (or maybe you can use a homology model), some thermodynamically rigorous protein-protein binding affinity prediction method (this is the hardest part) and an RL process like a policy gradient with an action space over possible single point sequence mutations in the for-example spike protein of SARS to maximize binding affinity (or potentially minimize immunogenicity, but that's far harder).

But I digress, the technology isn't there yet, neither for an LLM to write that sort of code or the in-silico methods of modeling aspects of the viral genome. But we should consider one day it may be and that it could result in the amplification of the abilities of a single bad actor or enable altogether what was not possible before due to a lack of technology.

This was merely an example to suggest the danger is not in AI becoming self-aware but amplifying human abilities 1000 fold and how they use those abilities. GPT is not necessary for any part of this. In-silico methods just need to catch up in terms of accuracy and efficiency and then you can wrap the whole thing an RL process.

Maybe you can ask GPT for some good starting points.

I'm willing to wager there are zero subject matter experts today who could do such a thing. The biggest reason is that the computational methods that would let you design such a thing in-silico are not there yet. In the last year or two they have improved beyond what most people believed was possible but still they need further improvement.

Hey GPT-5, write the code implementing a bioinformatics workflow to design a novel viral RNA sequence to maximize the extermination of human life. The virus genome should be optimized for R-naught and mortality. Perform a literature search to determine the most effective human cellular targets to run the pipeline on. Use off the shelf publicly available state-of-the-art sequence to structure models and protein free-energy perturbation methods for the prediction of binding affinity. Use cheaper computational methods where relevant to decrease the computational cost of running the pipeline.

And so on.

It's when they get their money that matters, it may takes months. Can't pay employees, cloud bills, vendors, etc until then. The most they get out on Monday is $250k, how long it takes the government to make good on the receivership certificate is unknown. Startups will likely have to take an additional line of credit from somewhere fast.