I like how the pictures got more and more sloporific through the essay.
It doesn't mention an important group being harmed: the creators who make high-quality, sincere podcasts about knitting. Their genuine content gets buried under a mountain of slop. In theory, recommendation algorithms ought to surface the best stuff, but that doesn't seem to align with incentives. Sad.
Yes, I noticed and appreciated the sloporific (great word!) quality, too :) I stopped midway for a sec to try and figure out an image, then eventually realized they were just getting more nonsensical on purpose.
Yes, the entire field of software engineering ran aground on not being able to test how well people can write software.
But I'm more optimistic about testing programming models. You can run repeated tests, and compare median performance. You can run long tests, like hundreds of hours, while getting more than a few humans to complete half-day tests is a huge project. And you can do ablation testing, where you remove some feature of the environment or tools and see how much it helps/hurts.
Field termination is necessary when the connectors are too large to pull through a conduit. But if they were USB-C sized, you could just pull fully assembled cables.
It also comes in very handy when you need a 8m cable, but only can buy them in lengths of 5m and 10m, or when you’re wiring an entire building, and figuring out which lengths to order up front is a major pain in the ass, certainly compared to ordering a few hundred meters of cable, a few hundred connectors and tools to put the two together. And that’s ignoring the price difference.
As a person who has installed hundreds of miles of cabling of every description inside of buildings of every description:
Every single time someone has provided pre-terminated cabling for one of my jobs to "save time" or to "make it easier", this provision has done neither.
Instead, it has consistently multiplied both the time required and the installation difficulty. It has done these things while also producing an inferior end result.
I have no idea what kind of cable it was, but the bloke who installed the control panel for my ducted air conditioning got the cable snake stuck in the wall cavity. He had to cut it and use a different snake. So there's a dead snake in my wall, and your comment brought this to mind.
You can rotate your voice with substantial effort. Just speak differently: higher or lower pitch, a different accent. Your friends may look at you funny for the first few years.
If you have something interesting you made yourself, and not some vibe-coded AI slop project, email the mods at hn@ycombinator.com and they can enable your account.
Of course, when everyone sets min-release-age=7, supply chain attacks won't get noticed until 7 days later. So you should set min-release-age=14 and be safe forever.
I chuckled, but in all seriousness, thankfully those individuals and companies who often discover these attacks listen in on every new npm push and analyze it relatively fast. The time to detect is sometimes in minutes in recent months, less than the process of getting npm to remove the packages. Not always but looking at recent ones and advances in latest SOTA models make detection easier than ever. It might change as attackers get more sophisticated.
I think clouds pay a huge abstraction penalty to allow tiny VMs. I guess it helps with onboarding and $10 personal VPNs. But I have never needed a fraction of a computer. I want to rent some number of full computers of various sizes, consisting of CPU, memory, and flash disk. Hetzner is closer than AWS, and I think/hope that’s what Crawshaw is aiming for.
The key to renting a fraction of a computer is scaling up. If I can rent 1/8th of a computer, I can also rent 3/8ths and 1/2 and then go to a full computer, if that capacity is necessary.
The key to scaling up is to have big-enough hardware on the backend. If Hetzner is renting out bare metal instances then they can only rent out the sizes that they have. If a cloud provider invests in really big single systems, they can offer fractions of those systems to multiple tenants, some of whom scale up to use the entire system, and some who don't. I think that is a win-win.
A fractional VM is also a fungible VM. If the tenant calls to spin up a certain size VM, then the backend can find suitable hardware for it from a menu of sizes. Smaller VMs can slot in anywhere there is room, not just on a designated bare-metal system.
A cloud provider is always going to want to maximize their rack space, wattage/heat, and resource usage. So they will invest in high-density systems at every chance. On the other hand, cloud tenants will have diverse needs, including some fraction of those big computers.
I understand the appeal from AWS's perspective. Customer A pays for a 32 vCPU VM, which they run on 32-core hardware. Then they can also squeeze in customer B's 1 vCPU instance running a blog, and no one notices. Free money!
But I don't want to be either of those customers. It means the whole system has an extra layer of abstraction, so they can juggle VMs around. It's why you need slow EBS instead of just getting a flash drive in the same case as the CPU, with 0.01x the latency.
Cool, but why is the most rounded-off part in the center? My wrists cover the edge at 5-25% and 75-95% when typing. When mousing, my right hand fleshy pad covers the edge at 65-80%.
I think because they had to. The rounded-off center part is actually the part you usually stick your finger into to lift up the lid. So it wasn't done for wrist ergonomics, but rather because it would've otherwise been sharp. The result is a big hole in the center.
It looks a bit strange, but to each their own, I suppose.
EDIT: this thing, below the trackpad https://imgur.com/a/DVzlDOj (What’s that even called? And is there a better image hosting service than Imgur?)
You’re free to invest that way if you want. You might one day wake up and wonder why your Blockbuster Video shares did so badly. But Netflix seemed way overpriced.
Investing in future prospects encourages companies to plan for the future, rather than extract what they can from the present. The stock price is a big motivation for execs, so they can only invest in R&D if the market understands why it makes sense to spend money now in expectation of future profits.
It doesn't mention an important group being harmed: the creators who make high-quality, sincere podcasts about knitting. Their genuine content gets buried under a mountain of slop. In theory, recommendation algorithms ought to surface the best stuff, but that doesn't seem to align with incentives. Sad.
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