The point was:

He could have been part of a unionization effort, instead he chose violence, harmed his peers, and took away that possibility.

Saying that he should have just tried to unionize demonstrates an ignorance of the state of unionization in the US as I outlined in my comment.

He could have begged outside of the headquarters too, for all of the good it would do. Treating unionization as if it were some viable option is not a good point.

I’m not saying that everyone should burn their place of employment down, but he did it in a way that led to nobody being injured and the message resonates with a lot of people. Much like Luigi, it isn’t that what he did is the right thing, but it is undoubtedly a more effective message to the elites than printing union flyers and getting fired.

California has unemployment and, assuming this company cheats their employees by making them all part-time, it pays as much or more than their lost wages.

These kinds of things are going to keep happening as the lower class is squeezed by economic pressures and the elites who control the political system block any attempt at reforms that would benefit the labor class. In the grand scheme of things, the harm suffered here was financial and not measured in human lives.

There are 7 million people who would agree with you, if they could.

He filed a lawsuit in 2024 against his former employer, PrimeFlight, alleging unpaid wages and missed break times.

It’s not a good point.

Anyone who’s been paying attention knows that corporations have gutted union rights, laws and the NLRB. Trying to organize a union is a long shot and you’re just as likely to be fired (for something completely unrelated, of course) the first time you start talking to people about unions.

Companies like this can fire low wage employees all day every day for years (look at Amazon’s warehouse turnover rate) just to prevent a union from forming. If they ever get to the point where there will be a union vote the company will pay millions for some union busting firm to come in and suddenly all of the pro-union people’s work is under a microscope, anti-union propaganda is everywhere and they’re scaring the other workers with talks of closing the business if a union happens.

They drag it out until everyone quits, is fired or is scared away from voting. Even if the vote passes the company is under no real obligation to negotiate with the union and the NLRB is effectively toothless. A union can go years and years without seeing any meaningful changes.

Unions and labor rights were the compromise, what this man did is only a small taste of what it was like before the compromise. His target was inventory, not people. That wasn’t always the case.

It’s an unrelated Andor reference.

Great show, if you haven’t seen it.

forcing many users to consider the unthinkable

Use a firefox clone and ublock?

(and linux, btw)

I have friends everywhere.

I’d also add:

• Filebrowser https://github.com/filebrowser/filebrowser

Sometimes you just want to send someone a random file without needing to create an account for them and walking them through installing an app. You can use Filebrowser to generate a link that they can access to browse that specific file/directory without credentials. You can set these links to timeout after minutes/hours/days/never.

• Dashy https://demo.dashy.to/

Useful to have a link to all of your services in a portable and shareable form. Very customizable and useful for most homelab assets.

CFD = Computational Fluid Dynamics.

It is kind of what they said, you’re right. I was more pointing how how it could be that they could ‘sense the vibes’ of a CFD result to determine if it is accurate or if the model decided to do something weird. Since it’s a chaotic process and also an artificial one, the starting conditions can yield results that are impossible/not based on reality.

If you look at enough of them you start to notice the kinds of things that go wrong. They would also have a pretty good idea about how their design should perform and if the simulation shows different they’d first want to troubleshoot the simulation before attempting to re-design whatever system they’re creating.

That is an insightful question.

The answer is that we actually understand chaos in a way. It isn’t unpredictable in general, it’s just hard to say how any given situation will evolve but we can understand a lot about how all systems will evolve.

I’m not good at explaining, but some content creators cover this topic pretty well. If you’re interested, here’s a video about it from Veritasium: https://www.youtube.com/watch?v=fDek6cYijxI

It’s a super exciting time for so many fields of science. Transformers are really the key discovery that’s made modern AI what it is today and we’re only barely scratching the surface of possible applications.

The future is going to be weird in ways we can’t even imagine.

Anfinsen won the Nobel in 1972 for showing that the amino acid sequence is what is responsible for the 3D structure of proteins.

Since then we’ve been able to take images of protein’s structures using xray crystallography but that is a painstaking process. The ability to accurately predict a protein’s structure from an amino acid sequence has been an unsolved problem until very recently.

It wasn’t until 2024 that Hassabis, Jumper and Baker won the Nobel for their work in predicting protein structure (using an AI called AlphaFold) and computationally designing new proteins.

The ability to create arbitrary proteins is new and will revolutionize some fields of medicine (like cancer treatment) and, to me, is a much more impressive use of AI.

LLMs are interesting but they are incredibly over-hyped as far as ‘changing the world’ goes, imo.

Those kinds of simulations are inherently chaotic, tiny changes to the initial conditions can have wildly different outcomes sometimes to the point of being nonsensical. Also, since they’re simulating a limited volume the boundary conditions can cause weird artifacts in some cases.

If you run a simulation of air over an aircraft wing and the end result is a mess of turbulence instead of smooth flow then you can assume that simulation was acting weird and not that your wing design is suddenly breaking the rule of physics. When the simulation breaks it usually does so in ways that are obvious due to previous testing with physical models.

I’m failing to see why the creative writing machine is better than a simulation set to ‘rough’.

The problem is that you saw AI and thought LLM.

Machine Learning is a big field, AI/Neural Networks are a subset of that field and LLMs are only a single application of a specific type of LLM (Transformer model) to a specific task (next token prediction).

The only reason that LLMs and Image generation models are the most visible is that training neural network requires a large amount of data and the largest repository of public data, the Internet, is primarily text and images. So, text and image models were the first large models to be trained.

The most exciting and potentially impactful uses of AI are not LLMs. Things like protein folding and robotics will have more of an impact on the world than chatbots.

In this case, generating fast approximations for physical modeling can save a ton of compute time for engineering work.

There’s software that adds achievements to emulated ROMs: https://retroachievements.org/

Yeah, it’s almost certainly a VM.

I always wait until it’s at least 300%, 400%, 800% off. Just like my prescription drug prices.

They’re doing it to mess with the delivery robots who would have a perfect record if not for the bus stops being placed in their path constantly.

Going a millions different ways is more in the FOSS spirit than starting off by saying ‘everyone will use this list of software’. They can’t know what will be the best fit for everyone so they’re approaching it flexibly.

They can iterate in the future or come up with standards as they need, but in the beginning it’s better to try a lot of different things to see what people discover.