_lpa_

LLM Kessler Syndrome.

Presumably the goal is to have a lot of chips at the end (more than you started with?). I would assume if you bet 10 chips, you get 10 for being right, and zero for not. So betting 0 chips all the time probably won't get you the job!

> And as usual, Benedict Evans has much better take on the situation. Mostly likely because of his major in History.

Which is?

> * Doing something illegal is wrong, but if someone aquired wealth legally, I don't see the inequality a problem.

If you are rich enough, you can influence what is illegal. I don't know of a system of government that is robust to this kind of problem.

Might be worth pointing out that fp16 on a k80 is woeful.

Can't you? I have just been using the lightning class as a wrapper, with my normal model on self.model or something like this. Same for the dataloaders.

I like the idea of kubernetes, and (some time ago) worked through a basic tutorial. My main confusion is how to set up a development environment. Are there any guides you could suggest that cover basic workflows?

I always had the impression that the incentive alignment between Apple and it's users was far better than any of the other big tech companies.

I'm curious - do you think affiliate links are a problem, and if so, why?

Yeah, my partner recently had to turn down a place at lambda for this reason. Hopefully you can sort the UK soon!

> histones are irrelevant, since prokaryotes don't have any

Good point :).

The keyword to search for, if you are interested, is epigenetics. Modification to e.g. histone protiens can change the expression of genes through a variety of mechanisms. As far as I'm aware, exactly how this works isn't that well understood.

This is a problem in most areas of scientific research. There is no incentive to publish negative results, so no one does.

I had a macro in emacs that wrapped the highlighted text in some xml tag (say <book></book>). Processing that I could label it however - e.g. IOB or whatever you fancy. The labelling didn't really take that long to do, maybe a few hours over a couple of days.

I did this a while ago (www.hnreads.com, bookbot.io). Manually labelled ~2k comments, trained a NER system, then validated the titles via amazons api. Was pretty easy once I had manually labelled comments. Don't recall my F1/precision/recall scores - they were ok but lower than the state of the art reported in papers.

We just had a paper accepted after 11 months. There is no good reason for it taking this long. I wish biology would adopt the publishing practices of physics or machine learning.

I've moved completely from Vim to Spacemacs. I can't see myself going back to plain Vim any time soon. The emulation via evil is very good, and the layers provided are generally immediately usable with consistent keybindings.

I haven't regretted doing my PhD in the slightest. I've learned a huge amount, in a wide variety of areas. However, the system in the UK is a bit more favourable regarding funding. Having said that, the funding doesn't scale with location. I live in one of the most expensive cities in the UK (outside London), and am funded to the same level as everyone else outside of London.

The bigger problem I have is in deciding to leave academia. There are still questions I would like to know the answer to (and I expect there always would be). It just doesn't seem to make sense to take that path. Low pay, high competition, and the likelihood of being on a series of 18month contracts for the majority of your career. Indeed, in my specific field (Bioinformatics) the career path isn't even that well defined, and you can more easily get a job at a software company who will pay several multiple of what you could expect as a postdoc. It just doesn't make sense to do it.

I like this idea! In my research we deal with relatively large amounts of sequence data, all of which needs to be associated with geo (https://www.ncbi.nlm.nih.gov/gds/). While geo is in many ways a good thing, it is not the most pleasant to use - I would love it if we could use something like torrents instead.

I feel like there is a danger, however, that using torrents would facilitate the thousands of nonstandard (often redundant) formats bioinformaticians seem to create.

I made something last winter (http://www.hnreads.com/), though I haven't fixed a couple of bugs or updated it since. I used named entity recognition rather than links to find book titles, perhaps something you might consider if you wanted to expand the site. I like the idea of showing the top books per time period!

I made http://www.hnreads.com a while ago to help find book suggestions from threads on hacker news. I expanded the idea to look at subreddits related to books, at http://www.bookbot.io - the eventual plan being to unify the two. There are quite a few things I would like to add, but they will have to wait until I finish my thesis!

In contrast to sentiment of many replies here, I have really enjoyed my PhD (admittedly I have not yet submitted - I plan to in the summer). I worked for a year prior to starting, and while that was fun, it felt very limited by comparison. Being around smart people who are interested in a variety of topics, and have the freedom to pursue them, makes for an amazing environment. I've learned a huge amount, and I think the tradeoff of low pay for a few years was easily worth it.

Asking for your money here refers both to a potential reader, and the the author of the article.

I'm coming to the end of my PhD, and have been contacted by a few recruiters for various hedge funds. It seems like a shame to leave academia. Realistically though, most people will be stuck in a series of ~18 month postdoc contracts, with little prospect of getting tenure. Add to this the poor pay, and hedge funds start to seem pretty attractive!