yashap
As a side note, I started getting these symptoms (actions staying queued forever or not running at all) at 5pm PDT yesterday, intermittently. And definitely full outage by 8:30pm PDT. So for sure full outage for 7 hours and counting, even if you use other runners, and I strongly believe partial outage for ~15.5+ hrs before that, even if it hasn't been acknowledged by GitHub yet.
They're at 93.91% uptime over the past 90 days, according to https://mrshu.github.io/github-statuses/ , and that doesn't even include today's outage yet.
A glorious one nine of reliability.
Outages happen, but this many outages so close together, and so many of them so major/long lasting, something is systematically wrong for sure. It's been seriously hamstringing our ability to ship code at my company.
“Lucky Number 7” is a common phrase, there was even a popular movie that played on this, “Lucky Number Slevin” (https://m.imdb.com/title/tt0425210/). It’s one of the first numbers I’d think of as a “lucky number.”
Flakiest trains I’ve experienced anywhere in Europe were in Italy - rolling strikes among train workers are crazy frequent and cause so many delays and cancellations.
Where arrays and objects just look too similar (IMO), white space is significant, most strings are unquoted, etc. And personally I find it quite difficult to really understand what’s going on there, at a glance, compared to JSON (or JSON5).
When dealing with large YAML files, I find myself frequently popping them into online “YAML to JSON” tools to actually figure out WTF is going on. JSON5 is much easier to read, at least for me.
The Guardian are certainly a left-leaning, frequently political paper, but that doesn’t mean every story is political, and IMO this one isn’t.
Ultimately, the American legal system is pretty broken. If someone brings a frivolous lawsuit against you, and you defend yourself in court, nearly 100% of the time you’ll be losing money, often a lot of money. This is the core reason why patent trolls exist, why companies normally settle out of court - it’s cheaper to do so.
I have worked on software where individual customers pay millions for it, but not billions, and it’s also not a physical thing that can literally crash into earth or fly off into space if something goes wrong!
> Safemode is the satellite equivalent of a blue screen of death.
It’s about avoiding safemode, and more generally about the end-to-end QA/testing process for satellites before they’re sent up into orbit. It’s very clearly not about actual Windows BSODs, it’s just written in a tongue-in-cheek style. Those commenting about “wtf windows on a spacecraft” clearly didn’t read the article, just read the title.
FWIW I found the writing style engaging and the content interesting. I guess the title is a little click-bait-y, but not in a way that I minded much, and I probably wouldn’t have read an article titled “How to avoid safemode on a satellite.”
I did think it was pretty wild that customers have to be informed of every incident where a satellite flips into safemode in TESTING! In normal operations, sure, but in testing, that’s wild. Feels like having to report bugs caught in my local dev environment, that were never deployed to prod.
I would’ve agreed until recently. I always found basically all other forms of testing valuable (unit tests of almost everything on the BE, unit tests of FE business logic, BE integration tests, E2E tests), but not testing of the visual elements of the FE.
But the company I work at, ~6 months ago we gave this product a try, and honestly it’s pretty incredible: https://www.meticulous.ai/
They basically record sessions of real usage in our staging environment, and then replay them against your branch, like taking all the same interactions, and mocking responses to all network calls. It records tonnes of these sessions and is very smart about which ones it uses for a given change. It flags any visual differences, and you can OK them (or not). There’s a bit of work to initially integrate, but then you don’t write any tests, and you get pretty amazing coverage. It has the odd false positives, but not many, and they’re easy to review/approve in their web UI. They’re also a small startup willing to work super closely with you (we share a Slack chat with them, they’re very open to feedback and iterating quickly on it).
I swear I’m not a paid shill or affiliated with them in any way, just a user who really loves the product. I was skeptical it’d work well at first, but it’s honestly been great, has caught many potential regressions, I feel we’re getting much better coverage than we would with handwritten UI tests. It’s very worth a look IMO if you’re not satisfied with your visual tests. It’s not an E2E testing tool, because the network requests are recorded/replayed (so it can’t stop BE changes that break the FE), but it’s amazing for testing so many elements of the FE.
- Until 2010 US submarines had exclusively male crews
- Since then more and more subs have had both male and female crew members, but the subs themselves were still designed for men
- This sub was designed to have a mix of male and female crew, which in practice means things like design tweaks around washrooms, sleeping areas, and making overhead valves easier to reach
Amazon is one of the most famous successes of the era. Bezos quit his job, launched the business out of his garage, with seed money being $10K of his own savings, and was doing $20K/week in sales just 30 days later. And I believe their only VC round before going public was an $8 investment from Kleiner Perkins. But they were a company who proved their viability early on, had a real product with rapid revenue growth before getting any VC $$.
I’d say this SSI round is more similar to Webvan, who went public with a valuation of $4.8 billion, and at that time had done a grand total of $395K in sales, with losses over $50 million.
I’m sure there are good investments out there for AI companies that are doing R&D and advancing the state of the art. However, a $1 billion investment at a $5 billion valuation, for a company with zero product or revenue, just an idea, that’s nuts, and extremely similar to the type of insanity we saw during the dot com bubble. Even more so given that SSI seemingly don’t even want to be a business, they’re saying “we aren’t releasing any sort of product until we develop safe artificial general super-intelligence.” So their plan is to be a total non-business unless they become the first people to hit an incredibly, incredibly difficult milestone.
Musk bought it for $44 billion in October 2022. Over the first 13 months under Musk, we saw X internal memos marking themselves down to $19 billion, then Fidelity marked down their investment to a level implying a $15-16 billion valuation, then in November 2023 they marked it down again to $12.5 billion. All signs point to it losing even more value since.
I’d be surprised if X doesn’t declare bankruptcy within the next few years, Musk has rapidly taken it from social media giant to poor man’s 4chan.
Open core vs. full open source, fair.