People that work on-call do this, especially in tech or security.

I’m considering making the switch because my paging calls are from a random set of phone numbers, so I cannot attach a specific ringtone to them. After a few horrible pages, you start to associate your phone going off as a world-ending experience, when it’s just your wife calling to ask if you want her to pick something up for you from the shop. A separate device that disassociates my phone from pain would be nice.

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.

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.

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! 🚀

I think many in the AI space are against the current state of how AI is being pushed, probably just as much as the average tech person.

What is ridiculous is that Lemmy prides itself as both forward-thinking and tech focused, and in reality it is far more close-minded than Reddit or even Twitter. Given how heavily used Mastodon is in tech spheres it makes Lemmy look like an embarrassment to the fediverse…

A LLM is basically just an orchestration mechanism. Saying a LLM doesn’t do reasoning is like saying a step function can’t send an email. The step function can’t, but the lambda I’ve attached to it sure as shit can.

ChatGPT isn’t just a model sat somewhere. There are likely hundreds of services working behind the scenes to coerce the LLM into getting the right result. That might be entity resolution, expert mapping, perhaps even techniques that will “reason”.

The first initial point is right, though. This ain’t AGI, not even close. It’s just your standard compositional stuff with a new orchestration mechanism that is better suited for long-form responses - and wild hallucinations…

Source: Working on this right now.

Edit: Imagine downvoting someone that literally works on LLM’s for a living. Lemmy is a joke sometimes…

Spare a thought for those that have bought Reddit Gold over the years, only to then discover just how much the CEO was paid, up against how much Reddit actually makes as a platform.

It’s not just free labour. They’re literally paying him.

The BBC is partly at fault for continuously giving people like Farage a platform.