My personal recommendation:

• Pick up Python, it’s easy to learn and highly productive. If you also learn fastAPI, you can benefit from highly validated, declarative models to build REST APIs in the backend, well fast. It will yield quick results, you won’t become demotivated and you can pick up a paid project soon.

• Pick up Rust. It’s “in” right now and I get requests from marketing people that know nothing about programming, asking if their project could be implemented in Rust

• Go with memorizing the shell commands first, try to understand git later. Get productive, try to get where you were with e. g. svn or cvs. If you are comfortable, look at something in depth if you have a problem that you can’t solve with the knowledge you have.

• Fuck Java, seriously.

• You have commercial interests, so it is probably wise to look into becoming a fullstack dev to maximize the kind of projects you can do. Look into React, vue.js, svelte. React is probably still the most widely used framework, you’ll quickly do a project with vue.js and svelte is a super interesting look into things to come.

With type annotations, this problem is mostly alleviated in practice, while still keeping the productivity gains of duck typing.

I share all those opinions, so your rant saved me some potential typing in the future.

On the 8 Pro, the bump is recessed relative to the Otterbox case (given the “tough” Otterbox model for the 8 Pro, no idea what it’s called)

Do you use the phone without a protective case? I find that most cases are designed so that the bump is flush with the back of the case.

That being said, I prefer thicker cases like the Otterbox oder Spigen Tough whatever series, so I could see how such a case would be “too much” for someone.

No idea where you’d like to use live captions, but n maybe this helps:

https://github.com/abb128/LiveCaptions

I think you’re falling into a bit of a trap here: perfect is the enemy of good. Not everything has to be automated, instead of growing pains, there can also be gains.

Remember, we are currently aiming to get these vehicles on the road, alongside regular drivers. They use sensors and computer vision to read street signs, detect people etc., all with the reaction speed of a machine. What if the in-between product is simply a better driver with faster reaction times? That is the current goal, really - no one wants to automate everything, simply because that wouldn’t be feasible anytime soon.

Yes, again, we’re not there yet and these things are far from perfect. But let’s first just aim to get them good enough, and then maybe just a little better than your average driver.

As for the your proposed business model: we have capable drivers now, why do these business models don’t exist right now? Why is there no fast lane that allows me pay to get to my destination faster? What would the technology of driverless cars introduce that would enable these regulations?

It’s not about everything being automated. We also have to differentiate between early incarnations of autonomous vehicles and the desired, final state.

A manual override will of course be part of early models for the foreseeable future, but the overall goal is for the machine to make better decisions than a human could.

I don’t have any quarrel with life or death decisions being made by a machine if they have been made according to the morals and ethics of the people who designed the machine, and with the objective data that was available to the system at the time, which is often better than what would be available to a human in the same situation.

It’s the interpretation of said data that is still not fully there yet, and we humans will have to come to terms with the fact that a machine might indeed kill another human being in a situation where acting any different might cause more harm.

I don’t subscribe to the notion that a machine’s decision is always worth less than the decision of another entity participating in the same situation, just because it so happens that the second entity happens to be a human being.

Yes, you probably are. Please don’t forget that the current available technology constantly improves, and that we actually don’t see any good examples of self - driving cars that much - the most prominent displays are from Tesla, and they arguably build the worst cars we’ve seen since Ford came up with the assembly line.

The technology used in autonomous vehicles, e. g. sensors, have been used in safety critical application for decades in other contexts, and a machine is capable of completely different reaction times. Also, if autonomous vehicles cooperate in traffic sticking to their programmed behavior, observing traffic rules etc., you will get less reckless driving, with traffic flow becoming more deterministic. These benefits will particularly increase once self-driving cars don’t have to share the road with human drivers.

I would always trust a well-engineered, self-driving car more than one driven by a human.

Disclaimer: I used to work on these things in a research lab. Also, we’re not quite there yet, so please have a little patience.

Honestly, I let those news influence my buying decisions and got an AMD laptop last week.

People often believe they are hearing ultrasound, but instead are hearing clicking noise or sub-frequencies emitted from the capsule that are not actually part of the ultrasound.

Pixel 6 Pro worked marvelous for me all the time. I have the 8 Pro now, and now the fingerprint reader is a real mess.

But yeah, the reader on the back was perfect.

I am on my 4th personal TUXEDO laptop, never had any issues. I actually started giving them to the devs at my company, no complaints so far.

They don’t offer my choice of OS, and I wouldn’t use a preinstalled OS anyway, so I can’t comment on that.

Generally all correct, here is a resource with a lot of in-depth information and additional links:

https://batteryuniversity.com/article/bu-808-how-to-prolong-lithium-based-batteries

It’s not true that precision measurements are impossible with low value resistors, a lot of measurement equipment works exactly like that - it might just be more expensive than what the manufacturer is willing to budget for.

Tuxedo also offers products with an aluminum body, and while they do import the hardware from China, you get the local service and warranty guarantees any company in the EU must provide, so that’s fine by me.

Also, honest question: what do you think a unique laptop is, in particular when buying from a mass consumer brand like Lenovo? I really can’t figure out what that’s supposed to mean.

lspci will read the vendor and device id via PCI and use that to determine what the device is. You might want to make the output a bit more digestable / useful via lspci -s 03:00.0 -k -nn, but I’d assume the ids that match an 2070 will show up.

Could you please take the card out and provide us with a few pictures from different angles, maybe getting a good look at the actual chips?

I’d like to rule that out before chasing rabbits here.

Also, you could always run nvidia-settings, which will show information about an NVIDIA card using a different access method.

I’d still like to see the pictures of the card though ;)

Sure. But the number of targets you could acquire there is miniscule compared to simpler delivery mechanisms, via a malicious app download, for example, and you have larger costs (hardware) and added risks, e. g. being captured on CCTV during installation.

That’s why I said, the cost/reward ratio is really off.

Sure. But nobody had to invest multiple hours each day into maintaining their Geocities page - there are only so many animated GIFs you could load over a modem connection anyway. Also, are we really comparing the hosting expenses of fucking YouTube with static 90s fan pages?

People expect edited videos from content creators these days. Even someone filming a hobby in their home shop will get barked at for having bad audio quality, if, this week for once, they forgot to charge the batteries on their wireless Rode lavalier mic.

That’s why so many content creators do have e. g. Patreon. Many of them are providing peeks behind the scenes and create transparency to show how much effort a single video takes, and even individuals often hire someone to do the video edits for them.

If you’re fine watching unedited, 5-10 minute videos that can be churned out with next to no effort, all good. I’m really into 40-90 minute long videos and personally view YouTube as an alternative to obtain the content type I prefer, but I’d rather not sacrifice quality. I also prefer creators who provide a serialized format and upload a video every week - in that way, I guess I’m old fashioned.

This type of content is impossible to make without financial support, which I’ll gladly provide one way or the other. However, how much the average person can afford in terms of monthly subscription fees is certainly limited, so a company offering access to multiple creators for a flat subscription fee is absolutely reasonable.

So, how will content creators be reimbursed for the long hours they put into creating YouTube videos? There are honest people out there who made content creation their job. I say that to express I’m not talking about content farms, clickbait creators or “Mr. Beast” types - those are all media companies, although they also have bills to pay.

Did you get a premium account?