Don't know about mRNA but individualized remedies based on CAR-T technology have been making significant strides in this area, with major commercialisation expected in the next 1-2 years
You guys are opening yourself to manipulation. Why not just be open for surprises? That’s what I do. Most of the time it’s bad surprises, but the occasional masterpiece that everyone else seems to hate make up for it. I do seem to not have the same taste as most people writing reviews though. I almost always find other people’s opinions ludicrous.
Power to you, but you probably miss out on masterpieces in the other direction though. The ones you would be more likely to watch if you spent more time watching those 'conventionally' liked movies, given the limit of time.
I appreciate the sentiment, but time in life is limited. Streaming is 95% slop so it really does pay to let others curate you the best films, with tolerance for a lower rating if it's a genre you particularly like.
My layman take is that like the oil in your car, there is a minimum value you need to be above, and a maximum value you need to stay below. Statin is for treating people that are above the max, so that they drop within acceptable range. Not for lowering the cholesterol to be a slow as possible
I was in a similar boat with my scrapers. Started with Selenium 5-6 years ago and only discovered Playwright 2 years ago. Spend a month or so swapping the two, which was well worth it. Cleaner API, async support.
I "prompt prong", i.e pass all the AI emails that I receive through an AI and ask it to write a response. At what point do we get the 2 AIs to email each other directly, without as bio-agents having to pretend that we wrote/read them?
We have 5 different engineering teams in our company.
The 4 are being led by benevolent-dictator-type of engineers, the 5th by a person extremely non-commital. This person avoids exerting any technically authority, so as not to disturb the team's balance. All decisions are made democratically, all votes being equal regardless experience/seniority. Same goes when being called for estimates.
Two of the 4 teams have become so big and independent, that the dictator-leads no longer need to participate in the d2d operations/decisions, to the point where they now work mostly on individual RnD projects.
The other 2 are small specialized teams, whose members have become domain experts in specific areas, to the point that they can talk with the business and move on development, with little need of interaction with their lead, and absolutely no need for a PM/PO layer.
The only team that struggles to perform is the one with the non-commital lead. It became so bad, that the current discussion is to dissolve the team, and have it's members/responsibilities be absorbed by the 2 big ones.
> the 5th by a person extremely non-commital. This person avoids exerting any technically authority, so as not to disturb the team's balance. All decisions are made democratically, all votes being equal regardless experience/seniority. Same goes when being called for estimates.
This is a very common failure mode for first-time leaders and managers. They optimize for minimizing conflict and want everyone on the team to like them.
A difficult lesson to learn in leadership positions is that you can’t make everyone happy and you can’t avoid every conflict.
Hyper-democratic leadership styles don’t work outside of very small and tight knit teams where everyone was already on the same page.
Someone needs to pull that person aside for some intense coaching to train them out of the mindset of people-pleasing and into the reality of getting work done. It’s not a fun transition but it needs to be coached. This is one of the turning points where many people realize they don’t want to be in leadership or management roles because the difficult decisions and uncomfortable conversations are in conflict with their personality.
Thinking about this more. I guess my n=5 observation is that committal engineers tend to have specific expectations about the performance of their teammates, and hence produce similarly performing teams to them
A ok got it, the next token is sampled from a deterministic probability distribution, hence the random output. But why not get the token with the highest probability/weight? Is this to avoid some local minima?