A chinese has much less per capita emission than let's say someone from a western country.
I think there should be a equal global limit on how much per capita CO2 your can release and if you exceed you should pay a penalty and if you are lower that limit you should be able to sell those credits.
Harsh penalties are the only way we can fix this issue unfortunately.
Plenty of worker owned software consultancies in germany, and specially in Hamburg for some reason.
From the site of one that I that I used to work for(they are very friendly so you can hit them up if you want some advice on setting up one)
> How exactly are you structured?
> In our search for a structure that consistently implements the principles of responsible ownership, we came across the veto-share model. First, the principles are enshrined in the company's articles of association. Then, company shares are transferred to a controlling shareholder. This controlling shareholder is granted veto rights, which must be used to prevent any future deviation from the principles. We are delighted to have the Purpose Foundation on board as our controlling shareholder!
> We want to offer every (new) team member the long-term prospect of assuming entrepreneurial responsibility as a co-owner. The criteria for this are already defined in the articles of association. To simplify joining and leaving, we have established dyve Trust eGbR, a partnership that holds 99% of the voting rights in dyve.
Sure, maybe the majority will go back to being peasants or serfs, which I would argue is the default state of humanity. It might be that the last 300 years, where individuals have the ability to sell useful services back to society, were an anomaly and things will go back to the way they were before that.
> If AI is somewhat successful at automating knowledge work, what feasible job could exist that doesn't require your mind or body?
Very few office jobs in bigcos, but it does mean that you'll not need as much capital as before to start a business and compete with existing incumbents.
In a world where AI automates jobs, arguably any business services you could offer would likely have no customers because those potential customers can automate the services you offer themselves just like AI automates the employment skills employees offer. Not sure why people keep bringing up entrepreneurship as if that couldn't be automated.
> In a world where AI automates jobs, arguably any business services you could offer would likely have no customers because those potential customers can automate the services you offer themselves just like AI automates the employment skills employees offer
Take the POS market for example. It's relatively trivial to setup your POS system in dbase/foxpro/MS-access. Yet almost every shop uses lightspeed/toast/square because they don't want to take on the additional burden of maintaining it and want support. They also hire web developers/designers to make their website even though framer/square space are super easy to use.
With AI I think what's happening is that more competitors are challenging these incumbents leading to downward pressure on pricing. Which is great for customers!
> Not sure why people keep bringing up entrepreneurship as if that couldn't be automated.
Ah, how would you automate entrepreneurship? This isn't the matrix where AI will suddenly wake up one day and start an entrepreneurship journey.
> With AI I think what's happening is that more competitors are challenging these incumbents leading to downward pressure on pricing. Which is great for customers!
If AI automates jobs, POS system vendor is using an AI to run the business. You can do that yourself and remove the middle man.
re: "Ah, how would you automate entrepreneurship?"
I meant that every non-physical business need that would be filled by a local business can now be filled by the same AI you have already use to automate half the jobs away.
There is this fantasy where employers can replace workers with AI but businesses cannot replace their software vendors with AI
And AI skeptics are waiting to see the proof in the pudding. If we have a new tool that makes hundreds of thousands of devs vastly more productive, I expect to see the results of that in new, improved software. So far, I'm just seeing more churn and more bugs. It may well be the case that in a couple years we'll see the fruits of AI productivity gains, but talk is cheap.
The proof is in feature velocity of devs/teams that use it and in the layoffs due to efficiency gains.
I think it's very hard to convince AI skeptics since for some reason they feel more threatened by it than rest. It's counterproductive and would hinder them professionally but then it's their choice.
Without rigorous, controlled study I'm not ready to accept claims of velocity, efficiency, etc. I'm a professional software engineer, I have tried various AI tools in the workplace both for code review and development. I found personally that they were more harmful than effective. But I don't think my personal experience is really important data here. Just like I don't think yours is. What matters is whether these tools actually do something or whether instead they just make some users feel something.
The studies I've seen--and there are very few--seem to indicate the effect is more placebo than pharmacological.
Regardless, breathless claims that I'm somehow damaging my career by wondering whether these tools actually work are going to do nothing to persuade me. I'm quite secure in my career prospects, thank you kindly.
I do admit I don't much like being labeled an "AI skeptic" either. I've been following developments in machine learning for like 2 decades and I'm familiar with results in the field going back to the 1950s. You have the opportunity here to convince me, I want to believe there is some merit to this latest AI summer. But I am not seeing the evidence for it.
You say you've used AI tools for code review and deploys, but do you ever just use chat GPT as a faster version of Google for things like understanding a language you aren't familiar with, finding bugs in existing code, or generating boilerplate?
Really I only use chat GPT and sometimes Claude code, I haven't used these special-cased AI tools
> You have the opportunity here to convince me, I want to believe there is some merit to this latest AI summer. But I am not seeing the evidence for it.
As I said the evidence is in companies not hiring anymore since they don't need as many developers as before. If you want rigorous controlled studies you'll get it in due time. In the meantime maybe just look into the workflows of how people are using
re AI skeptics: I started pushing AI in our company early this year, and one of the first questions I got was that "are we doing it to reduce costs". I fully understood and sympathize with the fact many engineers feel threatened and feel they are being replaced. So I clarified it's just to increase our feature velocity which was my honest intention since ofc I'm not a monster.
I then asked this engineer to develop a feature using bolt, and he partially managed to do it but in the worst way possible. His approach was to spend no time on planning/architecture and to just ask AI to do it in a few lines. When hit with bugs he would ask the AI "to fix the bug" without even describing the bug. His reasoning was that if he had to do this prep work then why would he use AI. Nonetheless he finished entire month's worth of credit in a single day.
I can't find the proper words, but there's a certain amount of dishonesty in this attitude that really turns me off. Like turbotax sabotaging tax reforms so they can rent seek.
> If you want rigorous controlled studies you'll get it in due time.
I hope so, because the alternative is grim. But to be quite honest I don't expect it'll happen, based on what I've seen so far. Obviously your experience is different, and you probably don't agree--which is fine. That's the great thing about science. When done properly it transcends personal experience, "common sense", faith, and other imprecise ways of thinking. It obviates the need to agree--you have a result and if the methodology is sound in the famous words of Dr. Malcolm "well, there it is." The reason I think we won't get results showing AI tooling meaningfully impacts worker productivity are twofold:
(1) Early results indicate it doesn't. Experiences differ of course but overall it doesn't seem like the tools are measurably moving the needle one way or the other. That could change over time.
(2) It would be extremely favorably in the interests of companies selling AI dev tools to show clearly and inarguably that the things they're selling actually do something. Quantifying this value would help them set prices. They must be analyzing this problem, but they're not publishing or otherwise communicating their findings. Why? I can only conclude it's because they're not favorable.
So given these two indications at this point in time, a placebo like effect seems most likely. That would not inspire me to sign a purchase agreement. This makes me afraid for the economy.
It's not really about optimism or pessimism, it's effect vs no effect. Self reported anecdotes like yours abound, but as far as I'm aware the effect isn't real. That is, it's not in fact true that if a business buys AI tools for its developers their output will increase in some way that impacts the business meaningfully. So while you may feel more productive using AI tooling, in fact you probably aren't, actually.
No. If you're trying to make a causal link between some layoffs and AI tooling you need to bring the receipts. Show that the layoffs were caused by AI tooling, don't just assume it. I don't think you can, or that anyone has.
I am very much not an AI skeptic, I use AI every day for work, and it's quite clear to me that most of the layoffs of the past few years are correcting for the absurd over hiring from the Covid era. Every software company really convinced themselves that they needed like 2-3x the workforce they actually did because "the world changed". Then it became clear that the world in fact did not fundamentally change in the ways they thought.
Chat GPT just happened to come out around the same time so we get all this misattribution
Setting up a replica and then pointing your api requests at it when cloudflare request fails is trivial. This way if you have a SPA and as long as your site/app is open the users won't notice.
The issue is DNS since DNS propagation takes time. Does anyone have any ideas here?
> Setting up a replica and then pointing your api requests at it when cloudflare request fails is trivial.
Only if you're doing very basic proxy stuff. If you stack multiple features and maybe even start using workers, there may be no 1:1 alternatives to switch to. And definitely not trivially.
We do use workers, but with hono so it's easy to deploy it on render with node.
There are other cloudflare products for which there are not many alternative(durable objects, workflows etc), but at least for us we don't use them in the critical path. We deliberately avoided them in the critical path because we knew we'll have to setup multi cloud for 99.999% uptime(we run a POS system so any downtime results in angry calls and long lines for our merchants)
I understand training is still costly, but it's not unimaginable for it to turn profitable as well if you think believe they'll generate trillions in value by eliminating millions of jobs.
If you eliminate ONE job and let's say the job pays $100K, in theory at most $100K goes instead to AI revenue. In practice it's a lot less, nobody is going to move everything to AI if it's just a 10% saving.
So, to get a trillion in value, you'd have to eliminate many tens or even hundreds of millions of jobs.
I don't believe this has been the case or claim at all. At best they have recognized some limited use cases in certain models where API tokens have generated a gross profit.
This is the = command that adds a new column based on a Python expression you provide. You can reference the cells in the current row based on the column name.
It is also possible to create a column based on the output of a shell command.
VisiData is row based, not cell based, so you cannot create expressions that reference data across rows.
Much as I love org-mode tables, I'd say the only axis where an org table is more feature rich is the formula support. Visidata is an amazing multitool for exploring tabular data that supports many data sources. From an ergonomic perspective, visidata wins.
I think there should be a equal global limit on how much per capita CO2 your can release and if you exceed you should pay a penalty and if you are lower that limit you should be able to sell those credits.
Harsh penalties are the only way we can fix this issue unfortunately.