> Interior Secretary Doug Burgum said in a statement posted on X that Americans deserve an energy system built on common sense and not one dependent on "costly subsidies".
I agree. This is why we are building offshore wind and not subsidizing fossil fuels, right?
Addressing the question in the title, "What happens if an entire class of workers loses faith in their careers", look at what happened to printers. That was a good skilled trade for centuries. Then it just went away. Phototypesetting took the high volume end. Desktop publishing took the low end. Computer-controlled presses took press operators. And then the newspaper business died.
I've heard homeless former printers talking about the good days at the Burger King near the cable car turntable at Powell and Market. They thought they had careers.
Now they're struggling to survive.
Knitting is not the answer. This is a survival issue. Somehow I suspect the author inherited money.
Oracle, the law firm with a tech business attached, probably wants to retain the option to sue other people for AI-washing their proprietary code, and that doesn't work if they're also publicly accepting AI contributions to their code with no apparent concern for the provenance of it. The tech business would probably tell them this isn't going to be a needle they are going to be able to successfully thread, but the law firm is in the driver's seat.
Saw a meme on mastodon the other day contrasting people of the '90s going online to escape from offline reality, and people of the '20s going offline to escape from online reality. There's something to that.
I think a big part of it is just how incredibly toxic the web has become.
If you spend any time online, as most tech workers do, you have exceptional resiliency if you're able to stay sane and level headed.
Going online it's like everyone is really angry and tired and sad all the time, and it's getting worse every year. This really took a nosedive during the pandemic, but looking back this had been going on for several years before. Every election cycle makes things worse too.
It's just been spiraling in a very dark direction for a long time. You have these blackpill depression cirklejerks everywhere. Astroturfing is getting worse every year. Like what Bannon did with gamer gate is an amateurish precursor to what everyone with is doing everywhere now. With AI you can even run these campaigns with a very small budget.
All the news is just outrage porn and non-stop predictions of impending doom. Used to be more tabloid territory but now I don't know if anywhere is spared. A lot of the focus now is on AI, but when it isn't the world is burning in some other fashion. Reading the news, we've been in a permanent state of crisis for years now.
This information diet just isn't good for your mental health. It isn't just tech workers, but they're probably more exposed than most.
Candide's closing remarks spring to mind. Tend your garden.
This is already the case for Master's degrees and above in Denmark. I've been the opponent examining students. We ask Master's students to give US instruction on a topic (drawn randomly on a card in front of them, from a list they know a few days in advance). They do a chalk and talk on a topic for about fifteen minutes with three to five professors being "dumb students". It works fantastically and at the end it's very apparent to both student and teachers how well a topic is understood. Marks are rarely contested and in my experience most students think the process is fair.
Of course, woe betide those with social phobias....
I believe there are some programming jobs in which the code is absolutely the easier part. Not all of us work in signal processing, integrated systems or have to push upstream to Linux kernel because the company we work for really needs a memory allocation optimization for its data centers.
Navigating customer requirements and building something that satisfies both market's needs and company strategy can be an incredibly difficult and frustrating problem to solve. Especially if you need to also oversee the execution of the strategy. So not only you have to predict what they want or know the domain deeply enough to understand what they say they want is not what they really want, you also have to come up with a plan for executing your solution in a corporate environment.
There is a reason that books like "the staff engineer's path" cover topics such as local maximums, communication, establishing support for executing a plan or creating alignment on big efforts. In large corporate environments with multiple international customers, code is most of the time not the hardest problem.
I read up recently on the history of the fall of the roman empire and it was fascinating how eerily similar it was to the current state of the US. Overwhelmed by corruption and wars they make stupider and stupider decisions on ever larger scales, ever more frequently. And the population grows ever more cynical, eventually opting for authoritarianism before eventually the center can't hold any more and it all collapses in on itself.
Funnily enough, the most striking part was the pure stupidity of a lot of it - seems so strange, but every day it seems I hear another really stupid story and think ... huh, maybe it really can be like that.
I've been using it extensively since the release and the best summary I can give is that it's good enough to use it for (almost) everything and cheap enough that the cost are irrelevant. I'm running it in Oh My Pi with a second instance running as "advisor" and even with 5-6 active sessions (effectively 12 streams) I'm struggling to spend more than 5 bucks per day.
OpenCode Go even has double limits temporarily so for 10 USD you effectively get 140 USD of tokens to spend. It would impress me if someone could burn that amount with "normal" usage. Even when running multiple sessions.
I have a Claude Max subscription but I've barely touched it, it just feels like a step back to have to think about limits and usage even though the models are stronger.
The beauty of intelligence at this cost (even if it's not SOTA) is that it opens a whole bunch of new use cases. Test failure in CI? Have the bot automatically propose a fix, its cheap enough that you can discard it w/h issues. Test coverage too low? Auto generate tests on CI for every pull-requests! Monitoring server logs, continuous security audits and investigating every received exception now becomes possible.
I'm thinking about having it automatically filter and re-rank my social media feeds so I can steer the algorithm instead of the other way around.
Perhaps other people (with enormous budgets) were already doing all of the above but for us this is a really exciting release!
Over the last year, wind - mostly offshore - has generated more than 35% of electricity here. Gas is down to 27%. It's really, really good. And it looks cool.
> If coding is easy, how come programmers were in high demand, and have demanded large salaries for years (even before ZIRP)?
Because programmers have generally been forced to wear additional, invisible hats that are essential to making the code happen in the first place.
Writing code is not hard. Writing correct code is. Knowing what is correct in a setting with paying customers generally involves interacting with those customers. Either directly or worse. The gigantic salaries paid to the most prolific employees is not due to their ability to write code. It is due to their ability to interrogate the shit out of the customer until they finally reveal the true requirements.
"As is now generally admitted, over a limited range of operation, machines act far more rapidly than human beings and are far more precise in performing the details of their operations. This being the case, even when machines do not in any way transcend man's intelligence, they very well may, and often do, transcend man in the performance of tasks. An intelligent understanding of their mode of performance may be delayed until long after the task which they have been set has been completed. This means that though machines are theoretically subject to human criticism, such criticism may be ineffective until long after it is relevant. To be effective in warding off disastrous consequences, our understanding of our man-made machines should in general develop _pari passu_ with the performance of the machine. By the very slowness of our human actions, our effective control of our machines may be nullified. By the time we are able to react to information conveyed by our senses and stop the car we are driving, it may already have run head on into a wall."
"In neurophysiological language, ataxia can be quite as much of a deprivation as paralysis. A patient with locomotor ataxia may not suffer from any defect of his muscles or motor nerves, but if his muscles and tendons and organs do not tell him exactly what position he is in, and whether the tensions to which his organs are subjected will or will not lead to his falling, he will be unable to stand up. Similarly, when a machine constructed by us is capable of operating on its incoming data at a pace which we cannot keep, we may not know, until too late, when to turn it off."
> If I run a local script or an LLM that needs to fetch a web page from your site and you block that script or LLM as being a bot, you hurt me, the user.
No; in this case you are not a user, you are a bot user.
Something I've wondered... if you publicly say that a domain is for sale and someone has a trademark for it would you automatically lose in arbitration?
Around 1998 I registered a domain. Sony registered a trademark with the same name a few years after that. Someone on a Gmail account asked if he could buy it - I later found out he worked for Sony. I told him no - it's for a game I've been working on. I went on a vacation for a month and when I got back there was a fedex package filled with documents from Sony saying I'm violating their trademark and they'll take the domain.
I got a lawyer and he told me that I shouldn't offer it for sale as that would show the arbitration board that I don't need the domain. But he also told me that in order to fight the trademark it would probably cost a couple of hundred thousand dollars. So I could keep the domain but not use it for commerce...
In the end I ended up selling it to Sony but through my lawyer - I never stated it was for sale. But this was early on for domains and I wonder what the process is like now.
EU data regions are a reflexive action by companies that try to hold on to their EU customers (and more and more are leaving, surprisingly the larger ones seem to be leading here). Realize that as long as you are still hosted on US owned infrastructure or that if there are US (or: five-eyes) owned companies anywhere in the stack your data can still be forcibly pulled and often without you being aware that this happened. There are only very few such stacks that are 100% owned by EU entities.
"Do not fall into the trap of anthropomorphizing Larry Ellison. You need to think of Larry Ellison the way you think of a lawnmower. You don't anthropomorphize your lawnmower, the lawnmower just mows the lawn - you stick your hand in there and it'll chop it off, the end. You don't think 'oh, the lawnmower hates me' - lawnmower doesn't give a * about you, the lawnmower can't hate you. Don't anthropomorphize the lawnmower. Don't fall into that trap about Oracle." --Bryan Cantrill
This dropped off the front page in the time I read it, I assume because of the controversial gate that favors upvotes to comments (which I am making worse by replying to others). It is a shame, because this really resonated with me.
I've been working in tech for over 20 years now in various roles, and this is the least I have cared about it. I used to want to get better, and was constantly excited about learning new things just for the sake of it. Now I daydream about being homeless. I look around at all the meaningless crap I have accumulated, and feel shame that I didn't use that money to retire early.
I am surprised that remote work didn't get a bigger mention in the article. In a few weeks I will have been working from home for 12 years, and I believe it is the cause of most of most of my angst. At first, the convivence was such a relief, but it has become a trap. The effort of the commute, forcing me to go out every day and talk to human beings face to face, even just little things like making sure I was showered and dressed every day, they all felt like a burden at the time but they were good for me and I didn't realize it. Not to mention that it makes my house feel like work, and I now I hate it here.
I will say as an anecdote counter to the AI examples given in the article. I have a young co-worker who is very excited about AI and is using it way more effectively than I am. Talking to him gives me hope for the future, the kids will be alright.
But to the point of the article: I have many friends my age that are making less than half of what I do working objectively harder jobs for way longer hours, but they all seem so much happier than I am.
> But that’s not what happened at all. Godier proceeded through a series of escalations up to the App Review Board and the Review Board responded that they determined the original rejection was valid because, I shit you not, “We understand that the app includes a live tarot reading feature.”
> It has no tarot function, no horoscopes, and nothing that I, or anyone else I’ve asked, would associate with astrology.
I have dealt with the Byzantine App Store bureaucracy before. What you do here, is you submit a new version, pretty much identical to the previous one, with the comment “tarot function removed”.
> Writing code is not hard. Writing correct code is. Knowing what is correct in a setting with paying customers generally involves interacting with those customers.
That's like saying "building a car is not hard, building a real car that you can use and that passes regulation is".
IOW, writing code is hard in every reasonable context.
Everything in AI seems to be focused on LLMs lately. But in my opinion, powerful problem-specific models like this are even more interesting. The SOTA AI models used in weather forecasting are already outperforming the classic NWP models while being orders of magnitude more efficient (inference). Most are based on multi scale (hierarchical) Graph Neural Networks, an architecture which is not often talked about. The original Graphcast paper is worth a read if you think this is interesting: https://arxiv.org/abs/2212.12794
Because we watched our careers go from being in service of an industry of tinkerers and designers, to being in service of the worst people attempting to maximize wealth extraction no matter the human cost?
Because Snow Crash wasn't supposed to be the goal?
Because our daily complicity in what's happening is also a daily reminder that we're not brave enough to be a Mangione?
For anyone reading this and jumping to a broader conclusion: the Nixpkgs core team disbanding does not mean Nixpkgs or Nix is dying.
It does mean that this particular structure was not sustainable, very important contributors burnt out and we need to do better, faster. We need to continue learning from this and continue building a stronger ecosystem that prioritizes the contributors who are the only reason any of this is possible.
Personally, I'm sorry and grateful. Sorry that it ended in core folks being burnt out. Grateful since they did some of the most amazing work, more than anyone can imagine two people doing.
I agree. This is why we are building offshore wind and not subsidizing fossil fuels, right?