I would assume that cannabis use correlates with a few other important heart health variables and we would expect the odds ratio to be lower when accounting for those (alcohol doesn't have an OR more than 1.0, tobacco smoking ~1.5)

I'm sure that cannabis use is bad for cardio health but the reported odds ratio is very high. I personally do not use cannabis.

and it's open source so nothing stops a bigger producer of copying the exact technology with institutional funding and manufacturing expertise

It may be that spaceX is buying an operation that would realistically take 5 months and 100 million to copy in-house for 60B because the worry is that waiting 5 months might cost that much in some sort of lost opportunity. It also might be that in any negotiation SpaceX is viewed as incredibly cash-rich and so anything can be sold to them for inflated prices.

I really don't understand these companies valuations it seems like boardrooms everywhere are in a constant state of panic that they'll lose it all if they aren't growing a breakneck pace constantly.

but perhaps one individuals prompt feedback just isn't going to ever be enough I'm not sure how much you need (I know people working at big companies that have purchased in-house agents fine-tuned on internal documents etc.. and apparently these end up with bizarre behaviours not necessarily more helpful than the standard models)

I'd like to be able to essentially edit every response given by an agent and then finetune on the difference between what it produced and how I edited the text. Personally I would just remove a lot of the adjectives and try to distill the responses to core responses but I worry based on some of the work done by Owain Evans and other alignment researchers that this can sometimes push agents into tricky-to-predict tendancies.

Even with 3 weeks I'm just not the Fortran/C programmer to get that job done so I moved on to other things.

the tech is pretty good at helping identify simple bugs when they happen and to write short sections of code given very explicit instructions but yeah I have yet to see good examples of short one sentence ideas turned into a working product that looks better than anything that could be a UDemy tutorial app.

It's tough to answer because you want to hedge for both an AI enthused employer and an AI hesitant employer with limited information about who they are and how they personally use these products. I've been responding with a sort of long winded answer about how 'there is clearly a learning curve for how this technology fits into any process and how I always always always double double double check yadayadayada'

I'm probably using the chat/ask functionality on a daily basis for quick debugging / new technology learning questions but I have yet to really use the fully agent or computer-use products because I've had more bad results than good the few times I've tried them (re-factoring a big repo of decades old fortran+C code for modern compiler/OS some things started to work but ultimately I abandoned that effort).

[1] https://dl.acm.org/doi/pdf/10.1145/3630106.3658542