Doesn’t need to be any design flaws, a few minutes with a welder and/or a truck load of concrete at the door once they’re in there would render the whole billionaire problem “solved”, Hotel California style.

The next four words in the article explains it… “Connected to a TV”

Something like this is useful as well if you have a large item to convert since you can offload that processing to your server/NAS and not have it bog down your PC/phone/etc

This would be a great opportunity for Canadian schools to grab up some of these students. Set up a credit transfer arrangement and some sort of challenge/audit system for courses in progress. Give this guy an engineering degree from McMaster/UoT/Queens/Western/etc and he can add to our pool of educated workers instead.

Probably analogous to command economy? Basically all industry is centrally planned, so it’s not company A decides it wants to make some widget and company b decides they want to use company A’s widget in their new product that they’ve independently decided to make. The government says we need <product> which needs <widget>, thus company A shall make <widget> and company B will use <widget> to make <product>.

This is by no means an accurate representation of the whole system or an opinion on either, but just to give a simple idea of the difference.

3d-printed concrete houses are already a thing, there’s no need for human-like machines to build stuff. They can be purpose-built to perform whatever portion of the house-building task they need to do. There’s absolutely no barrier today from having a hive of machines built for specific purposes build houses, besides the fact that no-one as of yet has stitched the necessary components together.

It’s not at all out of the question that an AI can be trained up on a dataset of engineering diagrams, house layouts, materials, and construction methods, with subordinate AIs trained on the specific aspects of housing systems like insulation, roofing, plumbing, framing, electrical, etc. which are then used to drive the actual machines building the house. The principal human requirement at that point would be the need for engineers to check the math and sign-off on a design for safety purposes.

When refining a process, it becomes exponentially more difficult and expensive the closer you get to 100% efficiency. 0-95% costs less than 95-99%, which costs less than 99%-99.99%

Store just has top-notch customer service, they knew what the drive would be used for and pre-loaded it :D

The real shit deal is if there was a ruling against Meta in this, it would still be worse for everyone because there would be precedent to litigate against people who only consume pirated content (which has been tried in several countries and found to be legal)

Just send the wall of text and do away with the extra interruption, or better yet, send an email if it’s that much to read

Train an AI model to produce new shows with him as the host

Google will find a way to put ads in the smoke

The letter is not here yet you liar

A sternly worded, AI-generated notice:

While it’s understandable to be cautious about buying a product based on promised updates, there are several reasons why it can still be a reasonable decision:

• Trust in the Brand: Many companies have a track record of delivering on their promises. If a brand has a history of providing valuable updates and features, it may be worth trusting that they will continue to do so.

• Current Value: Even if a product has promised future features, it often provides substantial value in its current state. Users can benefit from the existing features while looking forward to enhancements.

• Community and Ecosystem: Some products thrive in a vibrant community where users share tips, tricks, and workarounds. The support of an active user base can enhance the product experience even before promised features are released.

• Long-term Investment: In fast-paced technology markets, many products evolve over time. Buying early can sometimes give users a competitive edge or ensure they are part of the development process, influencing future updates.

• Risk vs. Reward: While there’s a risk that promised features may not materialize, the potential reward—enhanced functionality, improved performance, or even a price drop due to demand—can make the investment worthwhile.

• Feedback Opportunities: Early adopters often have a voice in the development of future updates. Engaging with a product before all features are released can allow users to provide valuable feedback that shapes the final product.

In conclusion, while it’s prudent to be wary of non-existent features, evaluating the overall value, the brand’s reputation, and potential benefits can justify the purchase.

This is a bad move. The more Russian citizens have access to outside information, the better chance they can learn what’s actually happening in Ukraine and the amount of damage the government is doing to their own country. The more Russians that have exposure to that information, it becomes more likely that the people will show their dissatisfaction. Without VPN, the people only have access to the internal propaganda.

WFH + satellite internet + solar panels = If you want to threaten violence, you’ll have to find me

GM also has tons of union employees which has some impact on the non-union portion (i.e. better benefits etc), so seeing first-hand what unions can do for you might make them more likely to support one even if their current working conditions are great.

America’s Deadliest Home Shootouts

Does that come on before or after “Ow! My Balls!”?

IIRC vote buying is against Reddit TOS, so might have been removed for encouraging it

In the states, they’ll just accuse the phone of committing a crime and take it anyways

If your job involves typing to any degree and you’re shit at it, your overall performance will suffer because typing will become a bottleneck to your productivity. If nothing else, typing fast means you can have more downtime in between tasks because you’re not spending all day hunt-and-pecking