I did always love biology, not because of my teachers, but because of my own wonder of it ("I sort of get how an engine works, but how do humans work?"). And I became a biologist, and thinking about the things this author describes indeed still blows my mind. I get the high level of a lot of things now, but every time I need to do a deep dive, I feel like "how the hell can this even work". But it works, and it works incredibly well. I still think it's the nicest field to be in (even though I love computers and Linux and FOSS as well).
Speaking as a guy who made the pivot to research in life sciences (as a "data scientist") from "full stack software engineer", yes the data and mission is very sexy to a nerdy guy like myself, applying deep learning algorithms to spatial or epigenetic sequencing data of cancer cells to figure out the secret markers or mechanism of cancer cell mestasis or human immune response.
The realistic or unromantic view is you are a cog in the life science industrial complex where you are underpaid and under-appreciated; research often takes years and unclear if you are making progress or scamming the taxpayers like a humanities professor in women's studies (yes even STEM sometimes feels like that); and in computing, unlike tech, you are not the center of attention, most wet lab scientists treat you more like a resource, a grad student they need to make their pvalue or figure panel pop nicely versus a "full stack software engineer" - And if you don't like it, hundreds of thousands of post-doc's or grad students are waiting to take your place for their shot - not in pursing their passion but for a visa in America.
The real value I learned from my pivot from pivoting away from tech and pivoting into Biology is ironically how to gamble. I joined a Discord/Slack sub-channel for #options-trading, #sports-betting and #poker during my studies for a Masters in data science with other degenerate students who loved gambling, and how to identify, automate and size +EV plays in gambling or derivatives trading. I make more than 2-3x what I make in W-2 from my capital gains and W2-G than my W-2 for past the 6 years. But that is not put shade on biological sciences and rather giving credit to Biology for teaching me how to analyze data and gamble.
Yes for me, it's mutually beneficial and gives me a quick way to polarize, filter out people I don't want waste time associating with (and vice versa too - people who are institutionalist, professional managerial class (PMCs); thank you for making my point!)
I realized after getting a degree in engineering from CMU that I should've loved biology so I went back to school after working as a software engineer for a year and studied neurobiology. And since then, I've suggested that people early in their career should take a break and go back to school and study something totally different.
In Zen and the Art of Motorcycle Maintenance Robert M. Pirsig suggests something very similar. He makes the point that students should go and work a job before picking what to study because they'll see where the value comes from (he of course puts it in much better words)
I've heard this advice a lot with respect to graduate school/PhD work. And indeed, the students that came from industry jobs tended to be much more impressive; some of that was probably from the "real-world" experience, and some probably from a self-selection effect where folks who came in from a presumably well paying job had to have really wanted it and were therefore more motivated.
That might be difficult given the job market now compared to Pirsig's time. Of course you could get menial job but that won't tell you much about the real job you want, just about what work is like in general.
Physics was like that as well, and from my limited experience chemistry too.
The history of physics and the theory of it is great. A Brief History of Time is an awesome read.
Studying physics is not like that. Studying formulas, applying them to situations, and of course very math heavy.
One thing I regret is the experiments as well. In physics and chemistry they were kind of a blur. Just following instructions and sometimes they didn’t work out and no one knew why. I never learned the most important thing: how to design an experiment. Following a long recipe then reading the result is much less useful than observing a thing, forming a testable, falsifiable hypothesis about that thing, and then testing it.
Last thing I’ll say is you probably aren’t going to get the “wonder” of science from a science class. Those classes are there to tell you the answers, but the most interesting part is discovering the answers yourself which is not possible in a one semester survey course.
> One thing I regret is the experiments as well. In physics and chemistry they were kind of a blur.
Well, a lot of places would penalize you if your data is incorrect, so most of the focus ends up on execution rather than the why. If you were angling for a high GPA for whatever reason, you cannot afford to experiment too much during lab work. It's another case entirely of course if you are conducting research.
> the focus ends up on execution rather than the why
Exactly right. School teaches you that the point of running an experiment is to try and get the same result as the teacher, while performing a ritual with steps called "hypothesis" and "method".
This resonated strongly. I hated biology as a kid but have been blown away at the wonder of it all as I've started to study it as an adult. I wish more of the magnificence and wonder of it all was conveyed vs the rote memorization that is so commonly taught.
>How come we memorized chemical formulas but didn’t talk about that [exciting stuff about developmental biology]
You can argue that about any subject. People want to take physics and learn stuff about black holes but instead the intro courses are about balls rolling down inclined planes and other such "boring" things. But you have to know the basics before you can understand the "cool" stuff!
>It was only in college, when I read Douglas Hofstadter’s Gödel, Escher, Bach
I see this book referenced all the time (HN, tech CEOs, misc. articles, etc), especially from folks who got into AI early. Is it really that amazing? Or is this some kind of signaling folks like to do to prove their smarts? Or both?
The author prefers people read his newer book I am a strange loop since it more directly represents his views. He’s apparently frustrated that nobody gets the point of GEB (which is to discuss consciousness).
If you like the mathematical aspects of computer science and computability theory, cranking out proofs using lambda calculus and Turing machines fascinates you, and you think Lisp is an elegant language, you may like it. For the average developer, it's unlikely to be interesting.
I wasn't a huge fan, to be honest. some good ideas, but overall the book felt self-indulgent. "metamagical themas" is a far better book if you want to read one thing by hofstadter, and "le ton beau de marot" if you want a deep dive into something.
I read it shortly after it came out when I was in high school and it was sort of a mind blow - perhaps just because in the early 80s we didn't really get exposed to so many interesting ideas.
It's definitely signaling for the majority of people still talking about it today. Though, that's not saying much that you didn't already know about the groups you mentioned.
Being that it's more of a Gen Xer pop-sci book, it's not to "prove smarts", but to share a vibe. It belongs on someone's shelf next to their copies of The Naked Lunch and Aja. Maybe even a signed copy of A New Kind of Science?
I'm not trying to be dismissive. It's just true. Nobody is even ashamed of it, nor should be. It's an interesting and still relevant perspective, but because there's no resolution to this line of thinking, many find it underwhelming. There's no "aha" moment to be found in any of this. Just lots of introspection.
You gotta take the good with the bad though. The tall grass is an easy place to hide.
It is unique; you've certainly never read anything else quite like it. Hofstadter is a deep and careful thinker who loves language and wordplay. He writes in order to communicate something he has spent a long time thinking about, not merely for the sake of cranking out books. I've read a number of his other books, and some of his ways of thinking have stuck with me for years and shaped the way I see the world.
I absolutely experienced this in college. I signed up as a computer science student, as one does. I took all of the freshmen classes across broad topics, and the first biology class was basically just like the article describes. Words and memorization and microbiology and boring stuff. Who cares, let's get back to the dorm room to play CounterStrike on the school LAN.
But then I took the second required biology course. And rather than be about memorizing the krebs cycle, it was macrobiology. Ecology, evolution, and everything I hadn't realized I wanted to learn about the world around me. I instantly fell in love and 99'd the class. I changed my major to Biology, went pretty heavy into biology and chemistry, and didn't take more than a few Java classes in Comp Sci. I graduated with a B.S. in Biology.
I'm still a software developer, mind you, but I wouldn't trade the Biology degree for anything. Learning statistics, experimental design and experimentation, and just having the opportunity to deep dive into the physical world from the biggest to the smallest details, it was life-changing.
I still ended up learning data models, algorithms, and probably would be a better engineer if I had dug in deep on comp sci, but I like to think the biology degree helped me be a better developer for different reasons.
I did always love biology, not because of my teachers, but because of my own wonder of it ("I sort of get how an engine works, but how do humans work?"). And I became a biologist, and thinking about the things this author describes indeed still blows my mind. I get the high level of a lot of things now, but every time I need to do a deep dive, I feel like "how the hell can this even work". But it works, and it works incredibly well. I still think it's the nicest field to be in (even though I love computers and Linux and FOSS as well).
This is one of those perennial HN favorites
https://hn.algolia.com/?query=I%20should%20have%20loved%20bi...
This is a very romantic view of life sciences.
Speaking as a guy who made the pivot to research in life sciences (as a "data scientist") from "full stack software engineer", yes the data and mission is very sexy to a nerdy guy like myself, applying deep learning algorithms to spatial or epigenetic sequencing data of cancer cells to figure out the secret markers or mechanism of cancer cell mestasis or human immune response.
The realistic or unromantic view is you are a cog in the life science industrial complex where you are underpaid and under-appreciated; research often takes years and unclear if you are making progress or scamming the taxpayers like a humanities professor in women's studies (yes even STEM sometimes feels like that); and in computing, unlike tech, you are not the center of attention, most wet lab scientists treat you more like a resource, a grad student they need to make their pvalue or figure panel pop nicely versus a "full stack software engineer" - And if you don't like it, hundreds of thousands of post-doc's or grad students are waiting to take your place for their shot - not in pursing their passion but for a visa in America.
The real value I learned from my pivot from pivoting away from tech and pivoting into Biology is ironically how to gamble. I joined a Discord/Slack sub-channel for #options-trading, #sports-betting and #poker during my studies for a Masters in data science with other degenerate students who loved gambling, and how to identify, automate and size +EV plays in gambling or derivatives trading. I make more than 2-3x what I make in W-2 from my capital gains and W2-G than my W-2 for past the 6 years. But that is not put shade on biological sciences and rather giving credit to Biology for teaching me how to analyze data and gamble.
> or scamming the taxpayers like a humanities professor in women's studies (yes even STEM sometimes feels like that);
one thing's for sure, there are certain spaces for people who lack people skills, and that seems to be associated with "STEM" skills
Yes for me, it's mutually beneficial and gives me a quick way to polarize, filter out people I don't want waste time associating with (and vice versa too - people who are institutionalist, professional managerial class (PMCs); thank you for making my point!)
I realized after getting a degree in engineering from CMU that I should've loved biology so I went back to school after working as a software engineer for a year and studied neurobiology. And since then, I've suggested that people early in their career should take a break and go back to school and study something totally different.
In Zen and the Art of Motorcycle Maintenance Robert M. Pirsig suggests something very similar. He makes the point that students should go and work a job before picking what to study because they'll see where the value comes from (he of course puts it in much better words)
I've heard this advice a lot with respect to graduate school/PhD work. And indeed, the students that came from industry jobs tended to be much more impressive; some of that was probably from the "real-world" experience, and some probably from a self-selection effect where folks who came in from a presumably well paying job had to have really wanted it and were therefore more motivated.
That might be difficult given the job market now compared to Pirsig's time. Of course you could get menial job but that won't tell you much about the real job you want, just about what work is like in general.
Physics was like that as well, and from my limited experience chemistry too.
The history of physics and the theory of it is great. A Brief History of Time is an awesome read.
Studying physics is not like that. Studying formulas, applying them to situations, and of course very math heavy.
One thing I regret is the experiments as well. In physics and chemistry they were kind of a blur. Just following instructions and sometimes they didn’t work out and no one knew why. I never learned the most important thing: how to design an experiment. Following a long recipe then reading the result is much less useful than observing a thing, forming a testable, falsifiable hypothesis about that thing, and then testing it.
Last thing I’ll say is you probably aren’t going to get the “wonder” of science from a science class. Those classes are there to tell you the answers, but the most interesting part is discovering the answers yourself which is not possible in a one semester survey course.
> One thing I regret is the experiments as well. In physics and chemistry they were kind of a blur.
Well, a lot of places would penalize you if your data is incorrect, so most of the focus ends up on execution rather than the why. If you were angling for a high GPA for whatever reason, you cannot afford to experiment too much during lab work. It's another case entirely of course if you are conducting research.
> the focus ends up on execution rather than the why
Exactly right. School teaches you that the point of running an experiment is to try and get the same result as the teacher, while performing a ritual with steps called "hypothesis" and "method".
Really a shame because understanding why your results were incorrect is much more important than stumbling on the right answer by accident.
This resonated strongly. I hated biology as a kid but have been blown away at the wonder of it all as I've started to study it as an adult. I wish more of the magnificence and wonder of it all was conveyed vs the rote memorization that is so commonly taught.
[2020]
previous discussions:
- https://news.ycombinator.com/item?id=25136422
- https://news.ycombinator.com/item?id=32035054
- https://news.ycombinator.com/item?id=40103590
>How come we memorized chemical formulas but didn’t talk about that [exciting stuff about developmental biology]
You can argue that about any subject. People want to take physics and learn stuff about black holes but instead the intro courses are about balls rolling down inclined planes and other such "boring" things. But you have to know the basics before you can understand the "cool" stuff!
If i had access to articles/blogs/YT/TT/AI like this, I'd have had become Leornardo Da Vinci.
I used to be inquisitive but coming from a poor neighborhood, I had no access in the olden days.
This type of article should persist.
maybe a stupid question, but, don’t you have access to all those things now? What’s stopping you from becoming Da Vinci now?
One of the threads like this one has prompted me to start reading the book Molecular Biology of the Cell several years ago. I need to get back to it.
>It was only in college, when I read Douglas Hofstadter’s Gödel, Escher, Bach
I see this book referenced all the time (HN, tech CEOs, misc. articles, etc), especially from folks who got into AI early. Is it really that amazing? Or is this some kind of signaling folks like to do to prove their smarts? Or both?
The author prefers people read his newer book I am a strange loop since it more directly represents his views. He’s apparently frustrated that nobody gets the point of GEB (which is to discuss consciousness).
If you like the mathematical aspects of computer science and computability theory, cranking out proofs using lambda calculus and Turing machines fascinates you, and you think Lisp is an elegant language, you may like it. For the average developer, it's unlikely to be interesting.
I wasn't a huge fan, to be honest. some good ideas, but overall the book felt self-indulgent. "metamagical themas" is a far better book if you want to read one thing by hofstadter, and "le ton beau de marot" if you want a deep dive into something.
I read it shortly after it came out when I was in high school and it was sort of a mind blow - perhaps just because in the early 80s we didn't really get exposed to so many interesting ideas.
It's definitely signaling for the majority of people still talking about it today. Though, that's not saying much that you didn't already know about the groups you mentioned.
Being that it's more of a Gen Xer pop-sci book, it's not to "prove smarts", but to share a vibe. It belongs on someone's shelf next to their copies of The Naked Lunch and Aja. Maybe even a signed copy of A New Kind of Science?
I'm not trying to be dismissive. It's just true. Nobody is even ashamed of it, nor should be. It's an interesting and still relevant perspective, but because there's no resolution to this line of thinking, many find it underwhelming. There's no "aha" moment to be found in any of this. Just lots of introspection.
You gotta take the good with the bad though. The tall grass is an easy place to hide.
It is unique; you've certainly never read anything else quite like it. Hofstadter is a deep and careful thinker who loves language and wordplay. He writes in order to communicate something he has spent a long time thinking about, not merely for the sake of cranking out books. I've read a number of his other books, and some of his ways of thinking have stuck with me for years and shaped the way I see the world.
It's a good book, despite its flaws. It offers a lot of deep insights and I think it really inspired a lot of people, myself included.
I absolutely experienced this in college. I signed up as a computer science student, as one does. I took all of the freshmen classes across broad topics, and the first biology class was basically just like the article describes. Words and memorization and microbiology and boring stuff. Who cares, let's get back to the dorm room to play CounterStrike on the school LAN.
But then I took the second required biology course. And rather than be about memorizing the krebs cycle, it was macrobiology. Ecology, evolution, and everything I hadn't realized I wanted to learn about the world around me. I instantly fell in love and 99'd the class. I changed my major to Biology, went pretty heavy into biology and chemistry, and didn't take more than a few Java classes in Comp Sci. I graduated with a B.S. in Biology.
I'm still a software developer, mind you, but I wouldn't trade the Biology degree for anything. Learning statistics, experimental design and experimentation, and just having the opportunity to deep dive into the physical world from the biggest to the smallest details, it was life-changing.
I still ended up learning data models, algorithms, and probably would be a better engineer if I had dug in deep on comp sci, but I like to think the biology degree helped me be a better developer for different reasons.