Ask HN: Top Skills to Learn for 2023?
Languages, frameworks, technologies etc. I think this is just the wrong way to go about learning things. There are 3 things to learn at any given time: 1. That which never changes i.e. humans, yourself and others 2. What you need to know to succeed right now i.e. deeper in your current tools and systems, or those you'll need to use next month 3. Whatever intrigues you. Maybe this is what you're asking: what's new to be intrigued by? To the latter, I would say to start learning machine learning if you haven't already. For 1. specifically, I like this quote from Jeff Bezos: > I very frequently get the question: "What's going to change in the next 10 years?" And that is a very interesting question; it's a very common one. I almost never get the question: "What's not going to change in the next 10 years?" And I submit to you that that second question is actually the more important of the two -- because you can build a business strategy around the things that are stable in time. ... [I]n our retail business, we know that customers want low prices, and I know that's going to be true 10 years from now. They want fast delivery; they want vast selection. > It's impossible to imagine a future 10 years from now where a customer comes up and says, "Jeff, I love Amazon; I just wish the prices were a little higher." "I love Amazon; I just wish you'd deliver a little more slowly." Impossible. https://www.inc.com/jeff-haden/20-years-ago-jeff-bezos-said-... Interesting, because I wish Amazon actually had better curation (aka less selection). There’s a lot of crap on there right now. I'd add that improving logistics in terms of bundling packages and slowing shipping to handle reduced shipments would do a lot in terms of reducing an ecological footprint (not that I'm big on woke environmentalism). +1 on reducing options and improving curation... I've gotten in the habit of nearly always selecting "sold by amazon" option in searching... if nothing else, at least the return process is less likely to be a hassle. Funny because I think we are at a point where I wish averages prices were a little higher on Amazon, by eliminating all the junk and fake stuff off it. You're wishing for what you think the outcome of higher prices might be, not for higher prices themselves. You don't wish average prices were higher - you wish the junk and fake stuff were eliminated. But also with accepting the tradeoff of higher prices. In other words, lower prices and faster delivery don't trump quality. If they have to be fudged a bit a better guarantee of quality then that is acceptable. There's also Charlie Stross (@cstross), from "Dude, You Broke the Future" (2017): When I write a near-future work of fiction, one set, say, a decade hence, there used to be a recipe that worked eerily well. Simply put, 90% of the next decade's stuff is already here today. Buildings are designed to last many years. Automobiles have a design life of about a decade, so half the cars on the road will probably still be around in 2027. People ... there will be new faces, aged ten and under, and some older people will have died, but most adults will still be around, albeit older and grayer. This is the 90% of the near future that's already here. After the already-here 90%, another 9% of the future a decade hence used to be easily predictable. You look at trends dictated by physical limits, such as Moore's Law, and you look at Intel's road map, and you use a bit of creative extrapolation, and you won't go too far wrong. If I predict that in 2027 LTE cellular phones will be everywhere, 5G will be available for high bandwidth applications, and fallback to satellite data service will be available at a price, you won't laugh at me. It's not like I'm predicting that airliners will fly slower and Nazis will take over the United States, is it? And therein lies the problem: it's the 1% of unknown unknowns that throws off all calculations. As it happens, airliners today are slower than they were in the 1970s, and don't get me started about Nazis. Nobody in 2007 was expecting a Nazi revival in 2017, right? (Only this time round Germans get to be the good guys.) <http://www.antipope.org/charlie/blog-static/2018/01/dude-you...> Multiple HN discussions: <https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...> Betting on things that never change (2017)
https://news.ycombinator.com/item?id=29289541 (2021) That's why base skills like being able to confidently administrate Linux systems and maintain networks will be more valuable than knowing Kubernetes ten years down the line. Yes, the latter pays more right now and it will still be around, but it's a trend nevertheless. Linux isn't going anywhere. Sales I guess? Best way to learn that What's the best way to learn machine learning without a real GPU or a budget for cloud time? There's lots of demos and stuff that can run on low end CPUs, but is that close enough in terms of skill to what you'd actually be doing on the job to be worth it? I think you can go far quite cheaply. Get your code working on smaller/toy models, and then when you want to test it on larger ones you can ship it over to a machine at one of the cheaper providers (vast.ai/jarvislabs etc) to give it a run before pausing/killing the machine. I've been porting Stable Diffusion (which isn't a small model) over to Elixir and as part of doing that have been starting/stopping my jarvislabs machine when I start/stop building. I've been spending about $1/day without trying to be efficient. Also, fast.ai is a great resource for learning ML, I highly recommend it. Google colab? Unfortunately this might not be the truth any longer, as it has adopted a new pricing model that is far stingier with gpu time and very confusing to properly track and predict. I think systems thinking is needed more than ever. There are way too many myopic decisions being made all across the board. For specific programming languages, I think Elixir is a great investment. Edit: Some systems reading if anyone is curious: * Thinking in Systems by Donella H. Meadows * Designing Freedom by Stafford Beer. I also recommend anything by Stafford Beer. * Anything by Christopher Alexander * Systems Thinking For Social Change: A Practical Guide to Solving Complex Problems, Avoiding Unintended Consequences, and Achieving Lasting Results: A new to me book that I haven't read but looks promising. Formalised thinking strategies never clicked for me. It’s either completely obvious stuff (almost like trying to teach someone common sense), or very vague generic statements without practical applications. What do you mean by "formalized thinking strategies"? Guessing at what you mean, I'm not sure it completely overlaps with systems thinking and systems theory, which can be quite mathematical at times. Also, Alan Kay has been speaking and writing on it recently, as in https://internetat50.com/references/Kay_How.pdf. +1. I always recommend starting with the foundational document, Cybernetics by Norbert Wiener (and the companion title, The Human Use of Human Beings). Why do you think that Elixir is a great investment? I'm not sure how much you know about Elixir, so apologies for stating anything obvious. * Elixir sits on top of the BEAM (the Erlang VM), which has several decades of being battle tested. * Elixir is at its core a functional language, with immutable only (not just by default) data, and comes with built-in processes and OTP, a library that provides ready-made abstractions on top of processes. It's very, very good at concurrency. * Elixir has Mix, Hex, and ExUnit, which provide great tooling and package management. * Elixir's ecosystem is rather vibrant and active. Phoenix, LiveView, Livebook, Nx, Axon, and more. Elixir generally takes the approach of building things on top of Elixir from scratch, which frees it from having to deal with impedeance mismatches. See Livebook (the Elixir notebook solution) and Nx/Axon, and all the other machine learning stuff going on in Elixir right now. I highly recommend the presentation The Soul of Erlang And Elixir by Sasa Juric. https://www.youtube.com/watch?v=JvBT4XBdoUE It really gets at the core of what makes Elixir and Erlang special, but I'd say Elixir has a lot more quality of life improvements over Erlang. You've listed some nice qualities of Elixir but none of them necessarily make learning it worthwhile given a finite amount of time to invest. Do Elixir's ideas improve your thinking when working on other languages? Are Elixir developers in demand compared to other languages? Is it a fad language? https://insights.stackoverflow.com/trends?tags=elixir Questions like this probably reveal more important qualities of an investment. I can’t answer every question known to man based off the vague prompt I answered. I took a pretty good stab at it. :) I also don’t know what makes things learning worthwhile to every type of person. > Do Elixir's ideas improve your thinking when working on other languages? Most languages do, and I’ve already mentioned Elixir’s unique features. Although, in a way, it will make working with other languages feel painful if you do any concurrency. Elixir and Erlang change the way you think about and work with concurrent processes and do it in about the best way possible, as it’s built in to the language in a core way. Learning how to deal with immutable data, writing pattern matching code, and functional programming are also all pluses. > Are Elixir developers in demand compared to other languages? I don’t know how to judge this, because define demand. The answer is ultimately relatively irrelevant to me and how I look for positions. If you’re asking, in a roundabout way, whether there are well-paying jobs in Elixir, the answer is yes. > Is it a fad language? I don’t know what a fad language is. Stack Overflow is not the global truth, and the plot is linked without context. Elixir has had its official forum for seven years now. It was created around the beginning of 2016, which roughly corresponds to the peak in the data you posted with a bit of lag in the downturn, as might be expected as people learn of the new forum. Lastly, making a decision based upon what is popular now is not a long term thinking decision. What is popular now was making head winds 10-20 years ago. Thank you! No problem! Hopefully you jump into it. :) If you are doing mainstream frontend work and haven't yet moved to TypeScript, that would be my first recommendation. I'm just getting into frontend. Any recommended typescript courses/material? At some point a few years ago I learned a lot from Maximilian Schwartzmuller on Udemy (https://www.udemy.com/user/maximilian-schwarzmuller/). Edit: I think I watched both the Angular course (after having used Angular for a while) and the React with TypeScript course (at the time I transitioned to React). And with Udemy for the last few years, one can always just wait a few days and get the course at 90% off. After 2022, it's both hilarious and sad to see how blockchain type recommendations have fallen off so hard. What a gigantic waste of time and effort that field has been. I still have yet to see anything useful come out of it. NFTs always are pointed to as the "useful" thing, but tbh, if I'm buying art, I'd much rather have some well regarded painters work hung in my living room. Not some monkey as my twitter avatar. Shrug. I never really bought into the crypto hype... I did setup some bitcoin miners at home to run when idle when it was really early on... I think it was like $0.15-0.25 for a coin in terms of trade value. I had a handful of coins that cost way more in terms of electricity at the time, and couldn't really do anything with them... I deleted all of it off all the machines. Sometimes wish I'd kept the wallets (not sure if Dropbox was around yet) when it hit like $20k or so. It just feels kind of scammy... but I largely feel that way about the stock market as well. There are really good applications of blockchain, unfortunately most effort was focused on the dumbest ones. Take for instance identity management - hospital ticketing system, where the patient's records are linked directly and inextricably to the tickets, etc. You can request an appointment using a smart contract, and everything else will happen magically. Maybe someone worked on such systems, but they didn't get any airtime.
I think eventually it will happen. My goal: build an outdoor robot to keep the deer away from my plants. Learning goals: - Brushless motor control: has now reached cheap commodity status and would be good to learn more about. In the past I was always stuck between DC toy motors and full 6 wire AC motor control. - Vision system on a small micro with edge-AI model for deer detection. After decades of classic machine vision I think it's time to overcome my neural net reservations and plunge in with one of those microcontrollers that can run pre-trained models efficiently - Battery charging dock that robot drives to autonomously: learning goal is Oregon weather capable contacts or even wireless charging My instinct would be to do all this in C++ with some Python as high-level glue but maybe time to learn some Rust? Not sure yet. There is a similar project for rabbit deterrence that might give some helpful ideas on the approach: https://blog.roboflow.com/rabbit-deterrence-system/ Awesome, thanks for the link! The vision portion is very much what I'm imagining for my deer deterrent. This sounds like an amazing project and learning opportunity! Reminds me of a halfbaked hardware+software project idea of my own: - Goal: increase the amount of natural light in my apartment during the day - Mount a flat mirror on a motorized sun-tracking attachment on south-facing balcony railing - Set up geometry, software, and motor to rotate the mirror so that it always reflects a beam of sunlight into the apartment, trained on a target area between the wall and ceiling, above eye level of occupants Cool idea, there is a town in Austria where the sun doesn't shine in winter and they were going to build something like that on the adjacent mountaintop. I think it never happened, though. It is done in Norway: https://www.visitnorway.com/listings/the-giant-sun-mirrors-i... More results here: https://kagi.com/search?q=rjukan+mirror&r=no&sh=jDluj1x6n_J8... An Italian town did build a mirror to do that. https://www.vice.com/en/article/epnvzn/viganella-italy-fake-... [edit]
Looks like a town in Norway did it as well, and theirs tracks the sun. https://www.theatlantic.com/photo/2013/10/using-giant-mirror... If you focus multiple mirrors on a single spot, you can set things on fire. Depending on one's application, this is a feature, not a bug! I love this goal, best of luck with it. I would like to build (or buy) a robot to protect my chickens from air and ground predators during the day so they can happily free range all day. I feel ya, lost many chickens to raccoons, hawks and even a dog once. I like flipping questions such as this around. The topic question suggests two alternatives: 1. What (recently or distantly) acquired skill(s) have proven most useful to you? 2. What skills don't you have but you regret or year for most? I like @bckr's guidance (<https://news.ycombinator.com/item?id=34055079>), and suggest that there are abilities with greater persistence which are often underappreciated. I have a bunch of things. Systems Thinking. It helps you understand how components interact to form a system, and how to change it. Books: - The Goal: https://www.amazon.com/Goal-Process-Ongoing-Improvement/dp/0... - Thinking in Systems: https://www.amazon.com/Thinking-Systems-Donella-H-Meadows/dp... Pertinent for 2023, learn about costs. If you're an engineer, understand how much the services you're responsible for are costing. How can you reduce that cost? Can you optimize costs enough to save your monthly salary? I heard Cobol is coming back. Don’t forget punch cards. The human side of tech and working as a team Learning how to learn new stuff +this ... I think learning to deal with people, actually listening and assuming you are wrong first have been some of the most difficult things to come to terms with. I'm decades in and just the past few years have started to get much better with people skills. Working with someone that has every personality quirk you have dialed to 11 was eye opening. Learn how to write better. Not code, but prose about code. Not so much a skill but I'm curious to see where the low-code scene goes and will be following it closely. I feel like a low-code platform that can be stood up on infrastructure (cloud or otherwise) owned by a company could provide a lot of value. Many companies and especially local governments have unique infrastructure requirements that make using a random website for a business function a non-starter. If they could bring a properly supported low-code platform to their infrastructure i could see that being super productive for a lot of the simple use cases they encounter. Whatever you truly enjoy, don’t make life into a rat race… Stand out to your employers, acquire knowledge and skills that makes you truly special. Not the fastest programmer in the hottest language. AI: and not just deep learning, ml, etc. I mean just using AI tools in a responsible way - I don't mean bypassing safeguards, I mean recognizing when you should fact check it. In a way, reliance on AI that is imperfect might actually increase people's 'fact checking' abilities because these are severely lacking in society right now. E.g. Be able to use chatGPT to help you code, but not if you're maybe a junior and can't discern good code from crap. It should be basically a subordinate who you do code reviews with, not the other way around, though when it's on it's game if you don't understand a concept it can explain it pretty damn good. Again that's assuming it isn't making things up. It would be nice if there were a toggle, or slider for: truthfulness, and reliability. Where basically it has little creativity to 'create' things that don't exist, unless reliability is set to 'creative' or 'low'. If I'm writing a fiction novel, that's what I want. If I'm coding it isn't. I think AI consulting and workflow management will be big in the coming years. It's obvious so many things that we can do with this tech to us, but to many people they just don't 'get' it, and there's money in showing them. Here would be my guess: * GPU programming (GPUs have consistently kept up with Moore-like laws) * FPGA/ASIC design (hard but price for all of these is dropping rapidly, so becoming more accessible) * Bitcoin/cryptocurrency related tech, including standing up your own miner, full node, or understanding how to build applications on top of it (web3/etc.) (despite the hate, cryptocurrencies are still around and thriving) * Solar and battery related tech (solar prices continue to drop, as does battery technology. Consumers ROI on solar installations are approaching 2-5 years instead of 10+). Understanding "fundamentals", either in terms of computer science education or mathematics, I think is also critical but I don't really know what fundamental math should be focused on, in the short term. It's easy to say "neural networks" but proficiency in that area is mostly about learning frameworks (as a snapshot of right now) and little to do with some underlying theoretical understanding. In terms of specific languages or frameworks, just a word of warning. What language/frameworks that were popular 10 years ago are still relevant today? Many people gain utility both from using and from being paid to manage frameworks (and to a certain extent languages) but they tend to be ephemeral. One piece of advice that I think was pretty good was to avoid the "stampeding hoards". One can "win" at the game of being the best at what's fashionable now but the greater utility is in understanding more fundamental skills with the added benefit of, should a skill become fashionable later, being well versed in it when it does. for GPU programming what area's would you suggest to start with? should i just dive into CUDA? Triton is pretty hot right now you can check it out. It really depends on what area you work in. In the systems world Go still reigns. Kubernetes is still incredibly relevant but growth is slowing down (mostly because it ate the world already). WASM and eBPF are hot new technologies but still niche. CDK landed last year and will probably become more and more relevant for new projects vs vanilla Terraform. Making use of OpenAi's api.
Could save you a lot of time in writing boilerplate anything. Writing, one of the most versatile and compounding skills you can learn. When used for yourself, it's a tool for thinking, organizing information, and understand your inner workings. When interacting with others, it can be persuasive but kind, eye opening but focused, or walk on any fine line you can imagine. You can teach, educate, warn, debate,... with the tone you like. It's a skill that enables both strategy and empathy. Frontend frameworks: React/Angular Cloud technologies: AWS/kubernetes/docker Languages: English/any other native lang of country that you are trying to settle in Terraform, being Cloud-agnostic, low level programming Cloud agnostic? Not really. All the resources are cloud specific. You can't configure anything of any complexity without knowing details about your specific provider. Low level? It's about as far from "low level" as you can get. I would barely call it a programming language. That being said, I do think it is a worthwhile skill to learn. I interpreted those things being listed as individual items in a list, not one continuous thing, so I assume the "low level programming" is it's own task. Also, I think a certain level of cloud agnosticism is possible. A lot of things like App Engine-esque services and FaaS can be boiled down to a core subset that can be agnostic. Once you get into managed queues and such, then you start losing some agnosticism for sure. You're right Terraform is not cloud-agnostic in terms of resources, but I'd argue you wouldn't really want a truly cloud-agnostic configurator at the resource level as it would be far too leaky an abstraction to have any reliable value. On the other hand, in terms of a cloud configuration system as a whole, Terraform's state management and sequencing resolution is provider agnostic, which I think makes it a much better investment than any cloud-specific orchestration system. I'm going to try and learn Rust (started and failed several times already), probably by building something with actix-web You may also want to check out https://github.com/tokio-rs/axum if actix-web doesn't click for you. I tried both, I'm not sure how Axum is much different than actix-web, seems like they both have similar syntax for creating a new router, adding routes and middleware, and starting the server. I think actix-web has macro-defined routes but I haven't been using those anyway. My goal was to explore and learn Rust and/or Go in 2022... Not sure the remaining 2 weeks will cut it, so I'll have to carry the goal into 2023. You can learn Go in 2 weeks. That's one of it's selling points! Just dig into the official resources [1]. Haskell is once again better than ever. Can you elaborate? I haven’t followed Haskell for some time, and would really appreciate some highlights! The language in the last 5 years added so much and is on the way to adding so much more. Highlights are hard to name because different people like different features! The packaging/dependency situation is pretty much solved now. Cabal v2 has been a godsend. That used to be the big issue. Stack is still around and works fine. ghcup makes installing everything easy. And Nix support is excellent and offers diversity of choice between nixpkgs and haskell.nix (which opens your way to proper x-compilation!) I don't use it, but the Haskell Language Server is also vastly improved. The library ecosystem is also the best it's ever been. Again, depends on what you wanna do. But there are more people and companies out there contributing to Haskell OSS than ever. The compiler and RTS also keep solving problems and pushing the bleeding edge. Compact regions, a new latency-optimized GC, and the eventlog have greatly improved the RTS. And linear types landed recently - still nascent but still a big deal. And dependent types are definitely on their way. Thank you! Typescript + React + Next.js. TailwindCSS. Go. Rust. Thinking less binary and more in terms of tensions, shades of gray. Related: the ability to radically change one’s mind on things you believe strongly. * be kind * be empathic * be humble Docker, Rust, RISC-V. None of them are new but still trendy It feels like top money is in DevOps / Blockchain + Crypto (not graphy) right now I'm not a fan of any of those :D Eh seems like the big investors will be winding down their crypto funds and layoffs are harsh in crypto. I wouldn’t go there now. Also the fact that the billions didn’t lead to any successful businesses other than the gold pick sellers (coinbase, FTX lol) and shady big yield lending services that are all now bankrupt stateless low-code cloud native serverless container clusters as a service serious question: was that a joke? 3 keywords is serious. 4 is a joke Do you mean like AWS Lambda? Or other examples? kubernetes or docker swarm? Nomad, obviously Already know this. patience Open Ai and similar C If one has time and want to increase ones foundation, yes, learn C and assembly. I feel I don't see jobs in those languages as frequently as I do in other more modern languages, but I at least really enjoy the feeling of knowing a tiny bit about what goes on behind the scenes. To survive the climate change. Depending on your location you should master swimming or surviving extrem heat.