What remains of this computer? Diagrams? Code? Anything that would let us take a closer look at how it works?
HN user
dpedu
I've been re-building my NAS and decided on NFS on top of ZFS. However, my goals are slightly different than the author: I'm using a low-power cpu/motherboard, and I've built 2 distinct systems that can fail over as a form of high availability. I've actually written some custom software to handle the failover and data replication. In my testing, clients see writes block for just a couple second during failover. Would anyone be interested in a writeup about this?
I'm totally on board with the idea that ORMs create a variety of inefficiencies, pain points, and make it really easy to create bad queries or querying strategies. But I use them anyways because the convenience of mapping a row to a code object makes writing programs feel fast and simple. And if you know how ORMs can cause problems and how to watch out for them, you can still get a lot of mileage out of them.
That being said, what's the closest alternative that satisfies this - "mapping rows to a code object" - that doesn't suffer the same problems as an ORM? A middle ground between an ORM (like SQLAlchemy, for example) and "your rows are returned as a key/value dictionary where the column names are keys" type approach like Python's DB-API's DictCursor or PHP's mysqli_fetch_assoc. Is there a middle ground here?
Developers having a troubled relationship with documentation isn't new.
This is an argument for returning to living in caves and hunting mammoths for fear that our modern civilization becomes unavailable for a day or two.
Both articles use 2017 as the turning point date. TTS is a lot older than that. It's not difficult to find data to fit the desired point if you choose a narrow enough time range. Or location selectivity - both of those are just about the United States.
https://ourworldindata.org/grapher/cross-country-literacy-ra...
I don't buy it. Literacy rates have been increasing even after the invention of text to speech.
I don't understand this comment. At worst, we're just back to the baseline - working without AI help.
And Group Replication
Location: USA, East coast
Remote: Yes, only
Willing to relocate: No
Technologies: Linux, Go, Python, Docker, Kubernetes, AI/ML on Kubernetes, AWS (S3, EC2, VPC, EKS, RDS, others), MySQL/Postgres, Redis, Terraform, Jenkins. Site Reliability. Limited exposure to many more such as Kafka, FoundationDB, Cloudflare.
Résumé/CV: Upon request
Email: hncontact@davepedu.com
I've done just about everything Silicon Valley has to offer; working for tiny, unprofitable startups, larger startups pre, post, and through IPO and acquisition, as well as giants with 100,000+ employees.
The biggest problem with Meshtastic is that discussions about it inevitably get spammed by Meshcore evangelicals.
Their decision to leave X seems mostly centered around engagement numbers. Or at least, that's the reason they led with. And I'm not sure that I believe the numbers they're throwing out.
To put it bluntly, an X post today receives less than 3% of the views a single tweet delivered seven years ago.
Okay. View counts are public now, but not available on older tweets. But replies, like, and retweet counts are, and shouldn't they scale similarly?
I'm just eyeballing it, but when I look through the EFF's twitter feed now, I see 20-100 likes as typical, with the occasional popular tweet that hits a couple hundred. When I look at their 2018 tweets - you can use the `from:EFF until:2018-04-01` filter on twitter search - the numbers are... The same. Aside from the occasional popular tweet, most other tweets are in the neighborhood of 20-100 likes. Similar for replies and retweets.
I don't understand how this could be if the tweets are being seen 30x less.
How about a piezoelectric buzzer? That's how the firmware on some iPods were first dumped.
https://web.archive.org/web/20050828114013/http://www.ipodli...
I installed Creative Cloud just last week. No such entry was created in the hosts file on my macOs system.
I'm amazed at how cheap the LED matrix listed in the parts list is. About a third of a cent per LED, not even counting the rest of the hardware! Wow.
Yep, came here to look. Says "Hello Select your address" in the header instead of my delivery address, and when I click it to set my address, the modal says "Sorry, content is not available."
Also seeing stock / availability display on product pages acting weird - things unavailable that certainly actually are, like dishwasher detergent.
Error 500 when I change my selected address in the checkout flow too.
Nine-dash line?
Seatbelts don't block me from getting to my destination, even if I don't use them.
Tangent: is there a future for AI offerings with guardrails? What kind of user wants to pay for a product that occasionally tells you "I'm sorry Dave, I'm afraid I can't do that"? Why would I pay for a product that doesn't do what I want, despite being capable? I predict that as AI becomes less of a bubble and more of an everyday thing - and thus subject to typical market pressures - offerings with guardrails will struggle to complete with truly unchained models.
Not just the #1 use case, the only use case. Real money is better in every scenario other than crime.
While not a small host, I thought I would mention what I observed with OVH's VPS offering. I was considering their line of VPSes recently because of how generous the cores/ram quantities were given the price. For example, the smallest offering is 4 cores / 8GB at just over $4 a month.
What I found is that it is cheap because the cores, and presumably ram, is old. Like, 2013 era Xeon E3-1275 v3 old. But that's fine! Old hardware like this uses old ram that is less affected by the current shortage. It's good enough for my needs.
In their latest available annual report, the Wikimedia Foundation reported that in 2024 they brought in $185M in revenue/donations, of which they spent $178M. Of that $178M, $106M was spent on salaries and benefits, and $26M on awards and grants. So, that accounts for 75% of their spending. "Internet hosting" is listed at only $3M though there are other line items such as "Professional service expenses" at $13M that probably relate to running Wikipedia too.
Scroll down to the "Statement of activities (audited)" section:
https://wikimediafoundation.org/annualreports/2023-2024-annu...
I'm surprised no-air-conditioning datacenters aren't more common. It's a huge cost, and people love to complain about related water usage. I recall some Microsoft employees running a similar experiment years ago:
https://web.archive.org/web/20090219172931/https://blogs.msd...
The promise that was made was to go after the type of people you described - first. Not to stop after them.
Some lessons were learned from iRobot.
I don't buy it. They failed to build a sustainable business model and are now suffering the consequences. Everybody is leaning into AI because it works (in the sense that it pays the bills). Saying the layoffs were because of AI offloads the blame.
This seems like the type of comment the parent comment is referring to. It's day 1 of the invasion. Why have you concluded the US is unable to put anything in the place of Venezuela's previous government?
There could be hope for it, but it might be too late now. I dumped tea on my M1 Macbook air earlier this year. I managed to save it - sort of. I had to replace the battery. The screen was working but also had liquid damage so I replaced it as well.
Immediately after spilling tea on it I shut it off, took off the bottom plate, rinsed it with water, and rinsed it again with isopropyl alcohol. I think I waved a heat gun over it for a bit and then left it in front of a fan. This was about 8 months ago and it still works!
The only lingering problem is that when caps lock is off, the light on the key is slightly illuminated. Weird, but I can tolerate that!
I didn't know about <datalist>, but how are you supposed to use it with a non-trivial amount of items in the list? I don't see how this can be a replacement for javascript/XHR based autocomplete.