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scajanus

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The granted is doing a lot of work there. In fact, if you imagine a computer being able to do similar tasks as human brain can in around 100 steps, it becomes clear that considering parallelism is absolutely critical.

This is partially why I like The Wire, which mirrors a Greek tragedy (1). The dysfunctional organizations play the role of the gods, against whose whims the mere mortals battle against and break. Another show that also competes for a spot as the best series of all time, Breaking Bad, is also a tragedy rather than hero's journey.

It makes me wonder to what extent this less usual narrative arch was the reason for their success & continuing appeal.

1. https://variety.com/2008/tv/news/the-wire-david-21043/

"According to Simon, the best way to understand “The Wire” is to think Greek — not the nefarious Greek characters who dominate the illicit trade in Baltimore’s ports, but the storytelling tradition of the ancient Greek tragedies, where the heroes and anti-heroes always face a dramatic downfall, usually as a result of their own hubris."

This (1) suggests that it can perform some metabolism in anaerobic conditions, but not all that it would need to grow/replicate:

"Deinococcus radiodurans is an exceptionally radiation-resistant microorganism capable of surviving acute exposures to ionizing radiation doses of 15,000 Gy and previously described as having a strictly aerobic respiratory metabolism. Under strict anaerobic conditions, D. radiodurans R1 reduced Fe(III)-nitrilotriacetic acid coupled to the oxidation of lactate to CO(2) and acetate but was unable to link this process to growth."

The abstract goes on to describe the metabolism in a bit more detail.

1. https://pubmed.ncbi.nlm.nih.gov/10788374/

There is a bit more flexibility to this than 1:1 mappings, since there are more codons (64) than amino acids coded (20). You could have both CUU and CUC be different characters on the DNA side, that both map to same character on the protein side.

Plausible alternative would be to have the codons or amino acids still code the other half, but have pairs of nucleotides code a 1.5 times longer poem. This would restrict you to 16 different characters, vs. 64 possible codons (minus a few stop codons).

There are around 20-22 amino acids commonly used by known life, so that already restricts you to a bit smaller alphabet than 26 letters.

I think this is the result of 1) it being a moving target and 2) HTML and CSS being a de facto standard rather than de jure, where the (differing) implementations define at least part of the spec.

You also can't really embed fonts in a HTML file, you rely on linking instead -- and those can rot. Apparently there has been some work towards it (base64 encoded), but support may vary. And you need to embed the whole font, I don't think you can do character subsets easily.

Consuming content does not really make me happy or feel good. It is stimulating and addictive, but as of now I am still motivated to see friends, do sports, work towards goals etc. even if I often get sidetracked by my online material.

If you think about addiction simplistically and mechanically, drugs will always be more capable of releasing dopamine than what our bodies are capable of naturally. It would make sense to me that there is a limit to how addictive content can get, when consumed in the usual ways.

This is also a (health) education problem, and at least in Finland problematic social media use has been linked with "moderate/low school achievement, low health literacy, and low parental monitoring"[1] (though if there is causality, it probably goes both ways for some of those).

For what it is worth, for me personally there is a limit after which I get twitchy and need to do some hard or uncomfortable in the physical world to feel good again.

[1] https://www.mdpi.com/1660-4601/18/4/1885

The article was not about that. The old memory stick was around 16,000,000,000 bytes; the new one 15,400,000,000.

So even with the 1,000,000,000 bytes to a gigabyte it doesn't round up to 16 GB.

I think it only makes sense in a specific environment/context. And then you can also have a meaningful interpretation of "orient".

It seems many people want to take these sort of decision making frame works to new contexts or generalize them to a point they no longer make sense to market them.

This seems to be the case for most science: You poke around in the dark, illuminated by past discoveries, you might need to wait for new tools for observation to be developed, you come up with some theories that are partly correct but only the next generations will be able to prove/disprove them.

I've been enjoying listening to The Song of the Cell by Siddhartha Mukherjee, which details a lot how the discoveries of cellular biology only came when e.g. suitably high quality lenses, microscopes or microneedles could be manufactured. As such, many of the early cellular biologists were at least part craftsmen as well.

Similarly for genetics, there the speed of discovery has been limited by tools: For sequencing (esp. cheap enough and accurate enough to start from limited genetic material) as well as editing the genome.

To add on to the last two points:

4) regular exercise and improving yourself also gives you a sense of achievement and something to be proud of if you set and achieve your goals. In addition to the physical changes, these will make you more attractive.

5) You can learn about sex (what you enjoy, what your preferred partners might enjoy) on your own. The better you know yourself and the better informed you are, the easier it is to communicate and find common ground with partners as well. I've been reading Dan Savage since my twenties, and recently listening to him in a podcast made me realize how much of a positive effect his approach to sex and relationships has had on me.

If anything, more intelligent people might be more suspectible to these kind of errors -- assuming their intelligence applies and extends to fields they have little knowledge of. And also just enjoy intellectual speculation as such.

From the comments, it is pretty clear to me that people lack understanding of biology/modern computational genomics, and the models used and their limitations.

You don't think there's a causal relationship between being unhappy and seeking therapy?

Also the goal of therapy is to get to a place where you can quit it, so it makes sense that once people are more content with their lives they wouldn't go anymore.

"Programmer-archeologist", to borrow a term from Vernor Vinge. I imagine the job would entail refining the prompts and doing some work yourself to chain together modules or legacy software, sorta like splitting the tasks with the AI assistant. Pair-coding with the AI, if you will.

Yeah -- a lot of the problems presented here (proper clothing for the weather, showering/changing/drying your commuting gear at the office) have simple and quite affordable solutions as soon as even a few people do it.

Office and apartment buildings here (Helsinki) even compete by providing convenient bike storage even for cargo bikes with easy access, washing spots for bikes/muddy or sandy gear, drying cabinets etc.

What I've found over the last 2 jobs/3 laptops is that I'm quite comfortable starting working and being productive with vi, and then over time I start setting 'nocompatible' when I need some feature from Vim, and then some weeks in add a vimrc/init.vim.

Even after 1-2 weeks

You should accept a longer trajectory -- say 1-2 years to learn it and 7 years to get good at it. But even then it means you need to review things you do, look for repeated patterns and wonder about/hunt down smarter ways of doing things.

A big help for me when starting was hanging out in the Vim IRC channel (Freenode, I think). This stackoverflow reply is a classic on how to learn Vim: https://stackoverflow.com/a/1220118/4751065

Bairui's blog has some good stuff, but sadly he left the IRC channel in 2015 then I guess: http://of-vim-and-vigor.blogspot.com/?m=1

Finally, of course, the koans: https://blog.sanctum.geek.nz/vim-koans/

Same for me (and plenty of coworkers who took part in the same studies) -- hardest part of taking part in the fMRI experiments was staying awake through it.