Re: the "hobby" part is where I agree with you the most. Where you say it's not solving genuine problems is where I differ the most.
It really feels to me like Comma is staffed by people who recognize that they never stopped enjoying playing with Lego -- their bricks just grew up, and they realized they can:
1) solve real-world problems
2) not be jerks about it
3) get paid to do it
Not everything has to be about optimizing for #3.
I'm a happy paying customer of Comma.ai (Comma four, baby!) -- their product is awesome, extremely consumer-friendly, and I hope they can grow in their success!
To me it sounds more like a return to vertical integration.
This is becoming increasingly common as far as I can tell.
There are benefits either direction, and I think that each company needs to evaluate the pros and cons themselves. Emotional pros/cons are something companies need to evaluate as employee morale can make or break a company. If the company is super technical in culture and they gain something intangible that is boosting the bottom line, having a datacenter as a "cool" factor is probably worth it.
This was a well-made video. I haven’t validated any of their claims, but as someone not particularly familiar with nuclear technology, this was pretty helpful.
It’s worth considering if these package managers would have taken off if they didn’t use git. You get a bunch for free, why not use it while you’re small?
I would think Venus, since it has the second smallest orbit. If that’s the case, I’m wondering if there’s some mathematical theorem that proves the “closest” planet is always the one with the next smallest orbit, regardless of speed or how closely the two objects’ orbits align in size.
I can’t help but think a lot of these comments are actually written by AI — and that, in itself, showcases the value of AI. The fact that all of these comments could realistically have been written by AI with what’s available today is mind-blowing.
I use AI on a day-to-day basis, and by my best estimates, I’m doing the work of three to four people as a result of AI — not because I necessarily write code faster, but because I cover more breadth (front end, back end, DevOps, security) and make better engineering decisions with a smaller team. I think the true value of AI, at least in the immediate future, lies in helping us solve common problems faster. Though it’s not yet independently doing much, the most relevant expression I can think of is: “Those who cannot do, teach.” And AI is definitely good at relaying existing knowledge.
What exactly is the utility of AI writing comments that seem indistinguishable from people? What is the economic value of a comment or an article?
At present rate, there is a good argument to be made that the economic value is teetering towards negative
A comment on a post or an article on the internet has value ONLY if there are real people at the other end of the screen reading it and getting influenced by it
But if you flood the internet with AI slop comments and articles, can you be 100% sure that all the current users of your app will stick around?
If there are no people to read your articles, your article has zero economic value
Perhaps economic value can come from a more educated and skilled workforce if they're using AI for private tuition (if it can write as well as us, it can provide a bespoke syllabus, feedback etc.)
Automation over teaching sounds terrible in the long run, but I could see why learning languages and skills could improve productivity. The "issue" might be here that there's more to gain in developing nations with poor education standards, and so while capital concentrates more to the US because they own the tech, geographical differences in labour productivity reduces.
What is the economic value of a wheel? If we flood the market with wheels, we’re going to need far fewer sleds and horses. Pretty soon, no one might need horses at all — can you imagine that?
No, you flood the roads with so many constantly running robot wheels that no one actually wants to walk or drive on the road anymore because the robot wheels keep bumping into them
In the process of making better wheels, you’ve made the roads unusable and now no one wants to leave the house - or buy wheels
I’m not sure if it’s going to be a better world for humans, but roads so crowded with wheels that I don’t want to leave my house sounds like an economy where a lot of wheels are being sold.
The wheels are being sold to humans sitting inside their houses who have been told that if they have enough wheels on the road, they will make the world more productive. Meanwhile, the wheelmaker loses money on every wheel but gets money from the rubber factory. And the rubber factory gets money by selling its stock to the humans sitting inside their houses.
This is the most nothing-burger response I've ever seen in my life.
Comments written by fucking humans barely have any value. All their value comes from the fact you can manipulate humans into buying shit - advertising.
You can't manipulate AI into buying shit because it doesn't have money because it's not a laborer and doesn't have a right to a fair wage.
That first sentence is a tautology. The second to last sentence is one of those things it’s ok to think until you learn better, but don’t say that in polite company.
Did AI write all these comments? AI is turning me into a conspiracy theorist? I keep seeing AI is like having a team of 3-4 people, or doing the work of 3-4 people type posts everywhere lately like it's some kind of meme. I don't even know what it means. I don't think you're saying you have 4x'd your productivity? But maybe you are?
Best I can tell, it’s resulting in less churn, which isn’t the same as work getting done faster. Maybe it’s a phenomenon unique to engineering, but what I’m observing isn’t necessarily work getting done faster — it’s that a smaller number of people are able to manage a much larger footprint because AI tools have gotten really good at relaying existing knowledge.
Little things that historically would get me stuck as I switch between database work, front-end, and infrastructure are no longer impeding me, because the AI tools are so good at conveying the existing knowledge of each discipline. So now, with a flat org, things just get done — there’s no need for sprint masters, knowledge-sharing sessions, or waiting on PR reviews. More people means more coordination, which ultimately takes time. In some situations that’s unavoidable, but in software engineering, most of the patterns, tools, and practices are well established; it’s just a matter of using them effectively without making your head explode.
I think this relay of knowledge is especially evident when I can’t tell an AI comment from a human one in a technical discussion — a kind of modern Turing Test, or Imitation Game.
I'm not saying anything that hasn't been said a thousand times before. But I find it's evident when I'm getting it to do something I consider myself good at. And that's what's worrying to me. I work in DevOps and there are a couple of tools I'm really good at. If I were trusting the output all my configuration would be outdated and set up like a blog example with all the issues and shortcuts one takes in them (and I see that in the PRs that I get from the team members that rely on claud heavily). But if you didn't know the tool it would look fine. So when I code with the agent, it all looks really good, but I must be missing things right? For scripts that have no impact if they fail, I llm the shit out of that.
At beast I think it means you can have the AI bot review your PR. Even then, it feels like a way to reinforce one’s own learned behavior rather than help. Things like great Ike do a great job at catching bugs and suggesting coding conventions, but the idea they can review your ideas is risible.
There are notable similarities between a wartime economy and one continually adapting to global warming. While perhaps not sustainable long-term, we may observe short-term economic growth driven by government spending, followed by extended inflationary periods. We might currently be experiencing the first cycle of this kind, with more likely to follow.
Don’t choose Mongo. It does everything and nothing well. It’s a weird bastard of a database—easily adopted, yet hard to get rid of. One day, you look in the mirror and ask yourself: why am I forking over hundreds of thousands of dollars for tens of thousands' worth of compute and storage to a company with a great business operation but a terrible engineering operation, continually weighed down by the unachievable business requirement of being everything to everyone?
This company sounds more like a hobby interest than a business focused on solving genuine problems.
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