So what does it mean in this particular case? The board and investors probably don’t see it being realistic to become profitable soon, and maybe even worry about AI ceiling, so they want to profit now

And just personal imo, for coding on the go something like macbook air seems to be a way more comfortable option. I know that you wrote that you fit gpd in you pants, but man, you know that this use case is even more niche than flipper zero

The two examples are not really representative, “press spokesman at a small industry association” and entry-level “apprenticeship in marketing communications and a bachelor’s degree in international management”. I don’t want to say that they are completely bs jobs but, well, these are quite niche. Both seem to be only ‘affordable’ for a strong economy, not during an economic instability.

What I’d like to get answers to is why if everyone says about shortages of nurses, doctors, teachers, plumbers and other handymen, highly qualified engineers capable of making some complex stuff like rockets; I don’t really see any policy makers pushing to make such jobs more appealing, I don’t see people around talking about moving to any of such areas even if they struggle or lose their office/corporate jobs, or talking about their kids learning to do one of them

So I would really appreciate a good AI/LLM tool that I can feed my sketch and parameters and it can save me hours of searching web and watching tutorials on how to extrude a circle over a curve

BTW, any existing AI tools work really well with OpenSCAD, so if you want a parametrized model that can be made out of simple shapes, I highly recommend this flow

[1] I know it's a bit hard to define, but I'd vaguely say that it's significantly better in the majority of intelligence areas than the vast majority of the population. Also it should be scalable. If we can make it slightly better than human by burning the entire Earth's energy, then it doesn't make much sense.

Yet, if we trust all these VC-backed AI startups and assume that it will continue growing rapidly, e.g., at least linearly, over the next years, I'm afraid that it may indeed reach a superhuman _intelligence_ level (let's say p99 or maybe even p999 of the population) in most of the areas. And then why do you need this top of the notch smart-ass human biologist if you can as well buy a few racks of TPUs?

I’ve heard from more experienced birdwatchers that it can false identify in some cases, so I always try to confirm visually, but anyway, for my casual use it’s more than accurate enough.

> It’s well known that video games today are disposable pieces of slop.

But then it falls mostly into multiplayer games. For the latter, I will probably agree that old multiplayer games were more decentralized and self-sufficient just because distribution was also less centralized back then.

Yet, overall, I tend to disagree because of several reasons:

1. Video games market is vastly larger than 20-30 years ago. That’s why we see more crappy games, but there many-many good games as well

2. Back then there were bad games as well. YouTube is full of videos where gamers walkthrough some old games. And many of even popular titles are literally a broken piece of crappy tech demo with broken mechanics, soft locks, bugs, etc.

3. Outside of MMMO, F2P and multiplayer there numerous great games nowadays. Indie developers are very strong. Games like Buldur’s Gate 3 have a non-imaginable quality and amount of content for 2000s game industry. It’s a matter of personal choice, but I can name dozens of titles for the past 10 years or so, that are really great.

UPD: formatting

It’s a good and reasonable feature, especially if for some reason you are afraid of state or security agencies in a place where you live, or maybe during travel. It’s still questionable, because in some states you can indeed go to jail if you don’t unlock. Yet, I really want to be able to turn it off for use-cases like mine.

Also happy to be wrong, but in Postges clients, parametrized queries are usually implemented via prepared statements, which do not work with DDL on the protocol level. This means that if you want to create a role or table which name is a user input, you have a bad time. At least I wasn’t able to find a way to escape DDL parameters with rust-postgres, for example.

And because this seems to be a protocol limitation, I guess the clients that do implement it, do it in some custom way on the client side.

I know that it’s not a fair comparison, but I still compare it to macbooks because I’m a mac user for years.

Pros

- Linux support is amazing, basically you just install one of the popular distros and ‘it works’ (c). I used PopOS and was pretty happy. You also get all the Linux tools like eBPF out of the box, which is +1 compared to mac.

- Extensibility is a big deal. You can get 1 TB / 32 GB version for pennies compared to mac, where upgrades from the base are ridiculously expensive.

- Design and look is very neat.

- Keyboard is a classic one and also good.

Cons

- Battery life is really bad; same with cooling. At some point I started having more meetings at work and it gets extremely hot, noisy, and dies very quickly.

- Touchpad is just subpar to mac. Also chassis rigidity is meh. I know they improved the display cover design (switched to CNC), but I have the first revision.

- Display is 2K’ish. I don’t really understand, why they go with this resolution. Even their new display is around 2.5K. IMO, Linux works best either with 1080p/1K or 4K with x2 scaling (I prefer the latter) because fractional scaling is bad. I struggled a lot with external 4K monitor because it was nearly impossible to adjust all sizes so texts were good on both and especially when you disconnect and go portable. I know it’s Linux and you can DIY everything, but for me it was just too much of a headache.

I still fully support this company and wish them all the best, but since getting the MacBook Pro 14 with M2 (company’s, not personal) in the mid-2023 my Framework is waiting for two things: i) 4K display module; and ii) ARM main board. If they release these upgrades I will jump into Framework right away and give it another try.

So I recommend it if Pros are more important than Cons for you.

UPD: formatting and conclusion

I’d say yes and no.

Yes, these are the problems that cannot be solved perfectly.

No, because in such areas any ‘reasonable’ filter is better than nothing. People say that these assignments don’t have anything with reality, but, well, we don’t have months to try to work with each other, we only have 3x1h.

I worked as individual contributor for years, but also had a chance to try a hiring manager role for the past 3 years a lot. We do standard leetcode-style interview (without hardcore) + system design. And I always consider both as a starter and bite to see how the candidate behaves; talks; do they ask questions to clarify something and how. And I always try to help if I see that candidate is stuck. By the end of all interviews you will have some signal, not a comprehensive personality profile. Do we do mistakes? I’m pretty sure, yes. But I think it just works statistically.

Yet, DNS-based blockers have a limited usefulness at this moment as some major ad-providers started using the same primary domain for serving ads. For example, YouTube, partially Google, Yandex. I guess they cover everything with top level load-balancer and then route internally to specific service ingresses

Basically, to start we need to know this LSN and to bootstrap the Postgres processes. This is really that quick. After that compute is ready to accept connections and serve requests, as it's able to get any missing pages from pageserver with GetPage@LSN request.

We do have the whole bunch of problems to solve: queries latency after cold start; startup after the unexpected exit of the heavily loaded Postgres instance could be slower; etc.

Yeah, as Nikita mentioned it's 2 seconds now. We did some tests and measurements and on bare metal, it's sub 500 ms usually, so the remaining part is the k8s (+ our own control plane) orchestration overhead. For example, with plain Docker (which we use in CI in addition to k8s) it's around 1 second already.

K8s provides a convenient abstraction layer, though. So I think that we'll continue using it and optimization will come with pods pool / over-provisioning and it'll be realistic to bring the startup time closer to bare-metal.

-- Cloud engineer @ Neon

It still has a significant latency on the first connection attempt after suspend (1-2 seconds), but we are working on that and it seems to be realistic to put the startup time under 1 sec.

Pricing model is still work-in-progress, so cannot say much about it. Yet, my personal intention is to make it cost-effective for both end-user and us. I'd prefer to don't build a service with claims like 'here is your free-tier serverless Postgres with zero-latency on connect', which actually means that under the hood there is an always-running compute burning the investors money. Hope it's realistic to achieve :)

-- Cloud engineer @ Neon