nope1000

I guess he owns a mirror

According to wikipedia, they sold over 23 million units of the switch 2 and over 155 million of the switch. Not that I agree with their aggressive practices but it clearly works. That's a lot more than the Steam Deck btw.

Luckily nobody has to do critical updates right now

I like to be AI sceptical as well but I think it's even more noticeable if the flaw is in 20 year old code which thousands of people have read and reviewed and not noticed, isn't it?

My suspicion is that software is saturated. Everything that people need (and a lot more that people do not need) has been built already.

He works at Anthropic (according to his Wikipedia), so this tweet might be an ad

That is true but even some paid services (like Disney Plus and Amazon Prime) have ads now

What does a "hard cap" do then? Delete all your resources? Because even stopped instances or unused volumes cost you.

Although I admit, there should be spend warnings.

In Google Maps Timeline you can definitely see it (if you set it up and you brought your phone)

Good point, I just used the first hit on kagi to source the claim but you are right.

Those words are supposed to be "high gothic" (https://warhammer40k.fandom.com/wiki/High_Gothic) which is definitly inspired by latin but not the same.

At least enterprise EU is partially affected

https://eu.githubstatus.com/posts/dashboard

We cannot pull any actions images (or how it is called) for example.

Recently I had some crashes on my system and claude correctly diagnosed it to a broken SATA cable on my hard drive. That was really practical

To forget tenant isolation on one endpoint is bad enough but to ignore it for 6 months is madness. I am at a SaaS company and our customers have such strict security requirements for us and that is for less confidential data.

Cambridge dictionary defines slaughtering as

> the killing of animals for meat

So I guess "killed and slaughtered" would be redundant but not wrong.

In the Xiaomi Model Demo, they have non-humanoid robots

https://robotics.xiaomi.com/xiaomi-robotics-1.html

I don't even know most words they used in the paper haha

Also I think porting code to another language or rewriting is one of the easier tasks for an LLM, since it has an extremely detailed spec (the source code itself) and a ton of tests already (hopefully).

I bet people out there are already uploading all sorts of private or confidential stuff to ChatGPT. I don't think that will make much of a difference.

My assumption is that AI-generated code explodes the flaws in your existing codebase. If your architecture is bad or not documented, your docs are out of date or the goal of the feature request is vague, how should the AI (or even a good human developer) develop high quality software?

> I hated that Linux has all these commands you had to go through

Was this still your experience though? I am using Fedora on GNOME and I rarely have to use the terminal. I like to use it but if you don't want to, you don't have to. There is a graphical installer, settings panel, software center, file manager, disk utility software, etc.

Except when you accidentally leak your entire codebase, oops

It's funny. All the examples they show in the blogpost are just things that were already pretty easy without agents. Sending an email when the CI pipeline passes, when a support request is incoming, when an order is shipped. I think we haven't found a problem for this solution.

I can't imagine that Windows 11 would be usable with a 2 core 1GHz processor and 4GB of ram. It might install, but opening the start menu alone will fill up your memory (slightly hyperbole)

> The direct corollary is that any successful compromise of the host can give an attacker access to the complete memory of every VM running on that node. Keeping the host secure is therefore critical.

> In that context, hosting a web service that is directly reachable from any guest VM and running it on the secure host side created a significantly larger attack surface than I expected.

That is quite scary

Sure it's certainly not perfect and a lot of the documentation is something you just write for the audit and never look at it again but that's why I am saying play the odds. The average delve customer startup might be less secure that the average startup who has to justify their processes to a real auditor.

> The incident also prompted LiteLLM to make changes to its compliance processes, including shifting from controversial startup Delve to Vanta for compliance certifications.

This is pretty funny.

The leaked excel sheet with customers of Delve is basically a shortlist of targets for hackers to try now. Not that they necessarily have bad security, but you can play the odds

True but neither will going bankrupt.

What they really should focus on is making those models more efficient. With them most likely losing money on inference (+model training + salaries + building data centers), I can't see why they would want more compute and more products, since more tokens spent is actually bad for them.

I would assume the average purchase in Walmart is significantly more low-tech than this though