So “tired light” could explain redshift, light that loses energy over time, but where would that energy be going? Heat loss somehow? Energy can’t be destroyed according to our current understanding so I’m not sure I understand the mechanism of decay
I think that’s the point? This is a direct response to musk is it not?
Leetcode is a great way to polish your skills. When I was your age, I read programming books and made projects I cared about, it’s turned out very well.
I’ve helped a few others learn programming, practice and working on any project at all always help more than anything.
The real example of a health check trait really brings this issue to life, it’s linked within op’s article as well
Is this a reasonable summary?
Say you want a trait where a method returns a task that you would like to sometimes run within your own thread and sometimes move it to a separate thread to be executed, that means the Send constraint isn’t necessary to add to your trait but it would be nice to add that constraint within another method’s parameter definition so that it can accept structs that implement the trait and further constrain that implementation to be Send’able. That’s now possible with this new rust language feature, though it was previously possible through a crate, now it’s no longer needed.
Looks cool, when was the last time Zelda was a playable character in a mainline Zelda game?
For the sake of external consistency, seeking a problem to fit the solution:
It seems like there’s relatively little on the ship in the way of rotational mechanics, doors make a pneumatic sound, etc. Perhaps the equipment is highly EM sensitive? Like the electromagnetic waves from a motor could screw then up somehow kinda like electrostatic issues in a computer?
I still remember flipboard being forcefully installed as the action button app for an old phone. My rage continues to smolder a decade later.
An app that couldn’t be uninstalled and took up precious resources. That’s all they’ll ever be to me.
I explained a little about buffer overflows, but in essence programming is the act of making a fancy list of commands for your computer to run one after the other.
One concept in programming is an “array” or list of things, sometimes in languages like C the developer is responsible for keeping track of how many items are in a list. When that program accepts info from other programs (like a chat message, video call, website to render, etx) in the form of an array sometimes the sender can send more info than the developer expected to receive.
When that extra info is received it can actually modify the fancy list of commands in such a way that the data itself is run directly on the computer instead of what the developer originally intended.
Bad guy sends too much data, at the end of the data are secret instructions to install a new program that watches every key you type on your keyboard and send that info to the bad guy.
There is a ton of literature out there, but in a few words:
Rust is built from the ground up with the intention of being safe, and fast. There are a bunch of things you can do when programming that are technically fine but often cause errors. Rust builds on decades of understanding of best practices and forces the developer to follow them. It can be frustrating at first but being forced to use best practices is actually a huge boon to the whole community.
C is a language that lets the developer do whatever the heck they want as long as it’s technically possible. “Dereferencing pointer 0?” No problem boss. C is fast but there are many many pitfalls and mildly incorrect code can cause significant problems, buffer overflows for example can open your system to bad actors sending information packets to the program and cause your computer to do whatever the bad actor wants. You can technically write code with that problem in both c and rust, but rust has guardrails that keep you out of trouble.
The researchers say Sitting Duck domains all possess three attributes that makes them vulnerable to takeover:
1) the domain uses or delegates authoritative DNS services to a different provider than the domain registrar;
2) the authoritative name server(s) for the domain does not have information about the Internet address the domain should point to;
3) the authoritative DNS provider is “exploitable,” i.e. an attacker can claim the domain at the provider and set up DNS records without access to the valid domain owner’s account at the domain registrar
List of vulnerable: https://github.com/indianajson/can-i-take-over-dns
You can use rc kits, hobby stores will have relatively simple systems designed for custom rc cars that you can plug and play
In the same vein you can always find alert cheap rc cars at your local second hand store, goodwill has em for afew dollars and you can scavenge whatever you want
These days though I prefer an esp32 or an arduino with a Bluetooth shield, much easier to work with
Wow what a neat project, I have spent a lot of time recently working around vulkan on m1 machines with compatibility layers and while it’s not a huge pain it does suck to miss out on some of the more powerful features of vulkan that the hardware is certainly capable of. I’m not keen on learning metal to bridge the gap and this is just what the doctor ordered.
This will be a huge boon for me, way to go!
We don’t deserve our open source heroes, so grateful for the incredible free software ecosystem
Gimp, 7zip, blender, vlc, open office, the kernel, thousands of others, I feel like our lives have been universally improved by these inverted charity projects. The few taking care of the undeserving many.
I’m a 10 year pro, and I’ve changed my workflows completely to include both chatgpt and copilot. I have found that for the mundane, simple, common patterns copilot’s accuracy is close to 9/10 correct, especially in my well maintained repos.
It seems like the accuracy of simple answers is directly proportional to the precision of my function and variable names.
I haven’t typed a full for loop in a year thanks to copilot, I treat it like an intent autocomplete.
Chatgpt on the other hand is remarkably useful for super well laid out questions, again with extreme precision in the terms you lay out. It has helped me in greenfield development with unique and insightful methodologies to accomplish tasks that would normally require extensive documentation searching.
Anyone who claims llms are a nothingburger is frankly wrong, with the right guidance my output has increased dramatically and my error rate has dropped slightly. I used to be able to put out about 1000 quality lines of change in a day (a poor metric, but a useful one) and my output has expanded to at least double that using the tools we have today.
Are LLMs miraculous? No, but they are incredibly powerful tools in the right hands.
Don’t throw out the baby with the bathwater.
Who’s taking fish oil supplements? People who are concerned for their health or people who are generally healthy? Observational studies like this seem much less useful than a dedicated study with properly allocated controls
Rocket chat I think checks those boxes
At the start of the study, we asked participants to take a visual sensitivity test. For the test, they had to press a button as soon as they saw a triangle forming in a field of moving dots. People who would develop dementia were much slower to see this triangle on the screen than people who would remain without dementia
It certainly feels like the cost of groceries has been growing at a much more significant pace than the one reported here, it may be worth discussing the methodologies used.
Is this using the average of all goods as in the grocery store has 100 cereals by 10 brands and only 5 cereals have increased their prices by 50% therefore the general trend is pretty flat?
Or is it accounting for volume purchased as well? If those 5 cereals account for 95% of all cereal volume, the metric should be much more heavily swayed by their rate of increase.
I say this because perhaps it feels worse than it appears in these metrics because the specific brands and products available to us and frequently purchased may be inflating higher than industry averages, and “hiding in plain sight”
I think in the dark matter/expansion model the idea is that light is stretched due to the universe itself expanding, but maybe I misunderstood the premise. Regardless of the veracity of the dark matter model, the original question of the mechanism of loss is still relevant I think.