The best way to do this is to correlate downtime with main providers. If a cloud provider goes down when AWS has outages on related services, it’s probably using an AWS service.

I’ll die on this hill.

If you want an easy language for beginners, Ruby is a much better alternative. It’s like a simpler Python, and aside from a crazy loop syntax teaches clean programming principles better than most languages.

With that said, Rails IS a ghetto, and many of the kinds of companies that use Ruby as their main language are stuck in the past or are full of the biggest toolbags you’ll ever meet. DHH, in particular, built a reputation on being a programming contrarian, so much so that there’s a golden rule where if he says something, the opposite is probably the correct choice.

My only fear with the indie gaming industry is that many of them are starting to embrace the churn culture that has led AAA gaming down a dark path.

I would love an app like Blind that allows developers on a game to anonymously call out the grinding culture of game development, alongside practices like firing before launch and removing credits from workers. Review games solely on how the dev treated the workers, and we might see some cool corrections between good games and good culture.

How is this going to work while OpenAI currently burns through an absolute ocean of cash to keep improving its services? Alongside this, a good software engineer or applied scientist can make close to $1m a year. While I do think professionals should earn what their value is to an employer, OpenAI still loses a ton of money.

As someone that works in AI, I think most of us know it’s full of people trying to make a quick buck while investors will stupidly throw money at it. OpenAI is ultimately the figurehead of this market though, because at least the big companies can prop their AI offerings with the money they make from shopping, cloud, ads, etc. The second OpenAI looks weak and needs money, the vultures will slice off a piece and we’ll see the AI market reduce to a wimper - just enough for tech to focus on the next grift.

You can probably say the same about all fields, even those that have formal protections and regulations. That doesn’t mean that there aren’t people that have PhD’s in the field and are trying to improve it for the better.

IMO more people should be critical of the systems and tools that they use instead of shitting on the tools that others choose to use.

We do assume too much of our tools, but many people here are guilty of assuming that other OS’s are broken in ways that do not reflect the average customer experience.

I imagine most of whoever is left at Twitter is on a visa, so yeah, they probably will follow Musk wherever he says to go. The alternative is people rip their families away from their homes that they’ve probably built over the years and move back to their old country.

Now, if Biden were to grant the power to protect re-employment to other companies for those on L visas, Musk is probably utterly fucked.

It’s embarrassing at times, much like it was almost two decades ago when Slashdot used to shit on “Micro$oft” for everything. Lemmy also has a tendency to be emotional to tech news rather than factual, so there’s that too.

Pretty much every tech company is shit in some way, but it’s not productive to call it out everywhere. This is a good thing.

I feel sorry for all those people in AWS that now have him as a leader…

No idea, I don’t work in fintech, but was it a fundamental problem that required a solution?

I’ve worked with blockchain in the past, and the uses where it excelled were in immutable bidding contracts for shared resources between specific owners (e.g. who uses this cable at x time).

I’m not entirely sold on the technology, especially since immutable ledgers have been around long before the blockchain, but also due to potential attack vectors and the natural push towards centralisation for many applications - but I’m just one man and if people find uses for it then good for them.

It’s worth noting that the new CEO is one of few people at Amazon to have worked their way up from PM and sales to CEO.

With that in mind, while it’s a hilariously stupid comment to make, he’s in the business of selling AWS and its role in AI. Take it with the same level of credibility as that crypto scammer you know telling you that Bitcoin is the future of banking.

Oh for sure, it’s not perfect, and IMO this is where the current improvements and research are going. If you’re relying on a LLM to hit hundreds of endpoints with complex contracts it’s going to either hallucinate what it needs to do, or it’s going to call several and go down the wrong path. I would imagine that most systems do this in a very closed way anyway, and will only show you what they want to show you. Logically speaking, for questions like “should I wear a coat today” they’ll need a service to check the weather in your location, and a service to get information about the user and their location.

I work on LLM’s for a big tech company. The misinformation on Lemmy is at best slightly disingenuous, and at worst people parroting falsehoods without knowing the facts. For that reason, take everything (even what I say) with a huge pinch of salt.

LLM’s do NOT just parrot back falsehoods, otherwise the “best” model would just be the “best” data in the best fit. The best way to think about a LLM is as a huge conductor of data AND guiding expert services. The content is derived from trained data, but it will also hit hundreds of different services to get context, find real-time info, disambiguate, etc. A huge part of LLM work is getting your models to basically say “this feels right, but I need to find out more to be correct”.

With that said, I think you’re 100% right. Sadly, and I think I can speak for many companies here, knowing that you’re right is hard to get right, and LLM’s are probably right a lot in instances where the confidence in an answer is low. I would rather a LLM say “I can’t verify this, but here is my best guess” or “here’s a possible answer, let me go away and check”.

I’m surprised that Vimeo hasn’t decided to take advantage of the enshittifcation of YouTube. They have been a social video platform for years, and are probably the best placed platform to come close to overtaking YouTube - should they choose to move away from the professional space and embrace the social aspects of video.

While it’s not LOC, you would be amazed at how many companies stack rank on stuff like number of PR’s, how many revisions are needed to merge, size of changes, etc. I’m not talking about small companies either - FAANG companies, and not just one.

I hear that an intern accidentally committed their node_modules folder, and now they’re a staff engineer responsible for the live video streaming service. What a career trajectory! 🚀

Working in Ruby did 10x more to help me write clean code than reading Clean Code ever did.

Many of the lessons drilled into me with Ruby (keep a consistent style, tests are cheap, keep your methods relatively small where possible, reduce nesting where possible) carry over nicely into other languages without needing to go through any OO bullshit.

IMO, the best lesson around Clean Code is this: you’re not clever, write obvious code that works with as few tricks as possible.

I switched from .local to .honk and I’m never looking back.

This case alone has absolutely tarnished the reputation that the US has in the UK in the eyes of many people. It’s something people aren’t going to forget for a very long time, and could prove a blocker for cases where the US wishes to extradite in the future.