I would describe the experience as... passable. Historically it was quite glitchy but recent OS updates have improved it. The biggest issues resolve around apps which do not scale their UIs correctly.
6,741 karma · joined March 22, 2013
Makes web. Mostly Rails. Not too much.
I would describe the experience as... passable. Historically it was quite glitchy but recent OS updates have improved it. The biggest issues resolve around apps which do not scale their UIs correctly.
We're only a few persistent widgets and a better persistent storage story away from this possibility.
I really recall leading up to and shortly after the election the vibe here was decidedly pro-Trump. The tech right was ascendant, posts glazing Elon and other administration cronies were the rule, and criticisms were flagged/dead almost immediately.
I agree with the GP post that some of Drew's observations seem off today, but I think it's a relatively recent development. It seems to me that only in the past 6 months has a permission structure arisen that criticism of this administration has become accepted here.
By all means keep your eyes open outside of your org, but it's increasingly hard to even get a resume seen by a human on the other side of the hiring process.
If you have a good reputation on your current team, that places you above external candidates as you look to move up in your organization. Don't ignore that.
Maybe a "better" source is the NY Post article [1]. The information itself isn't really news - it's even largely available on wikipedia [2] [3] - but the fact that it's hitting mainstream-adjacent news outlets is novel.
[0] https://bsky.app/profile/segyges.bsky.social/post/3mvom4b4dn...
[1] https://nypost.com/2026/09/16/business/ai-doomsayers-wild-li...
I had a colleague tell me "it's not vibe coding when a programmer does it."
I fully believe there's still value in understanding the internals of software and the patterns developers use to structure it, but I do wonder for how much longer any of this knowledge will be more than of academic interest.
Pretty ironic then that here, Mozilla is specifically labeling their "we send it all to the cloud" service as "private."
I certainly agree that this option would be nice to have, but running firefox without an ad blocker on the modern web will ALREADY spin up my fans just rendering all the garbage, and I have a decent laptop.
You can't expect the median Firefox-running device to be able to run a capable enough local model effectively.
But the Steam Frame specifically is not well suited for this. Something more minimal like the Big Screen Beyond 2 would be better, and XR-type glasses (like those from Viture) which present as standard monitors would be better still.
The only answer I can imagine is that it supports reviewing patches from people who aren't using AI or review by humans but parent doesn't mention this.
There's an opportunity cost in the doomsday prophesying, though.
The media coverage of "these extremely capable robots might kill us (according to the guys who sell the robots)" comes at the cost of coverage of the real, present issues surrounding the tech oligarchs that we're already facing.
Sure, there are some failure modes that lead to some really bad stuff, but human extinction seems exceedingly unlikely to be one of them, and "10%" is pulled straight out of Dario's derriere.
Far more likely are economic disruptions that impact the tenuous balance between labor and capital and lead to unpredictable societal upheaval.
I think a lot of this is done using stolen black market API credentials, which is why it might be somewhat accurate to consider it illicit.
Nike has some quality products, but they also consistently released garbage products and stamped a swoosh on them.
So there's the squeeze: people who want quality can go to a brand that's actually known for quality and avoid the guessing game, people who want garbage can get cheaper garbage drop shipped from China.
There are some methodologies that can improve things for me versus just YOLO'ing but even these are of marginal benefit:
* Have good requirements. Experience with a codebase and stakeholders helps a lot here.
* Correctly subdivide the task into chunks that won't blow context. You can write a big task and have an agent plan subtask delegation for you, but it's good to have some intuition of your own.
* Perform an automated code review. This is a no-brainer but it catches stuff.
* Make sure you understand the "big picture" stuff and stop caring about the little details. The agents will write unit tests, so you shouldn't have to care about reading every LOC, you can ask the agent to describe the architecture and flow instead.
Based on what I've read so far, with his shit-talking the competition, he seems like... a bit of an asshole.
They can be "bad" in some dimensions (as you mentioned) while being "good" in others (dev productivity).
These frameworks didn't become popular for no reason. They have value. The parts that are "good" can easily outweigh the parts that are "objectively bad" when they enable a smaller team to get things out the door they would have had trouble shipping otherwise.
I think your suspicions are warranted and your explanation seems plausible.
If better training data is the reason here, it would still be a case of the models doing something that is in and of itself super useful! The models really can take that data and distill it into solutions for similar problems faster than humans can. This is great!
But there's so much vested interest in the AI companies to be opaque about all this, to hype up their models and avoid giving credit to people whose data made everything possible, that they would never tell us this fact if it were true.
I feel like so much of the AI hype cycle is like this. The models develop extremely useful capabilities, but it's hard to understand what they really are through the hype. The lies and obfuscation by their owners who have vested interests in capturing the value they provide makes it impossible to take anything they say at face value.
Serious solutions to this would look like nationalizing tech companies, mandating shorter work weeks, seizing the assets of the oligarchs and redistributing them.
Not... letting the invisible hand of the market sort it all out.
What are those "taboo topics?" Can you state this plainly rather than obliquely?
Ultimately, the purpose of a system is what it does.
We've structured our society such that performing this type of activity is extremely lucrative, and financial engineering is by all appearances the endeavor that humans value above all others.
There's a sort of cult of personality around him at this point. His acolytes follow him for his nativist views, and then adopt his technology unthinkingly.
I don't know why my comment was downvoted above. This isn't a serious distribution and you shouldn't expect it to be. It's a vanity project of a niche alt right tech bro, and this is the level of rigor you should expect.
So I think it's a little different. Anybody using an opinionated respin should understand what they're getting.
Most Americans either actively supported this administration, or didn't mind it enough to even do the minimum (which is to vote against it).
How you'd possibly convince such people to reconsider is beyond me, and an uprising without popular support would go essentially nowhere.
Starter packs can help bootstrap it. Perhaps this? [0]
A lot of the biggest boosters of AI are aligned with the politics of Musk, and so they're just going to stay on X. This means the AI discourse is far less on bsky.
[0] https://blueskystarterpack.com/starter-packs/@nimobeeren.com...