Another thing is the stdlib integration of goroutines. We see this in Python where various generations of paradigms kind-of coexist. Golang built their goroutines into the heart of the stdlib which puts it IMHO in a special position.
This is the reason why I implemented rather dumb but individual, hand-crafted captchas for my own websites in the past. Things like input fields which must be left empty, silly multiple choice questions only humans could properly answer at that time, etc.
I have seen communities to implement their own captchas with domain knowledge. For instance, math/STEM people showing captchas with rather easy calculus tasks (such as solving a definite integral). This can be fun to solve and as a human you feel valued. It is this handmade feeling of the "old internet".
The problem with self-made captchas is that even them are rather easy to solve nowadays with LLMs and thelike. Therefore I don't believe that decentralized individualized captchas are the solution as they tend to be rather simple.
I remember having read somewhere that zig now requires to pass the Io argument around, which one can interpret again as "colored functions". IMHO it is a missed opportunity not to implement a more polished syntax and make a message passing paradigm a "first class citizen" in zig. Anyway, I like the fact that zig is iteratively "improved" and not a virtually "dead" language compared to golang :-)
It's unfair to compare an idling deep sleep device with a cold boot.
However, there is a shortcut: Just don't boot a full OS (thinking of custom firmware which boots in fractions of seconds, standard in the Microcontroller world). Or boot an optimized Linux user space. I am confident with a bit fiddling one can bring down a standard SBC Linux to a few seconds from cold to ready.
In other terms: The "recent" success of AI is mostly the commercialization of industrial scale stochastic plagiarism. Compare it to piracy, done by individuals for the benefit of themselves and their friends. If they ever thought about selling their stolen goods, what could they have done for economy!
This is in fact useful for people who demand you to print out and sign contracts. Did so many times in the past, using some ghostscript+imagemagick scripting to avoid the cargo culturing.
Lyapunov sounds a good tool but the README reads so LLM-generated and with little love that I am not bothered to look further into whether this is solid or not.
Add »hacking the self-driving car« to the equation and you get the perfect classical-cyber hybrid crime. Afterwards, the poor waymo cannot remember what even has happened. That's spy film material :-D
I find the arena experiment very interesting. If done right, whole programs can be structured as as a set of arenas. I've read some things on arenas here such as https://news.ycombinator.com/item?id=37670740
Long-distance shipping is even a pain in the (so-called) developed world, for instance from Europe to the US. As soon as your shipping value exceeds a treshold (IIRC about 1000€), you have to electronically declare the customs. There are agencies specialized to do this for sth like 20€ per shipping just because it is not reasonable to get all the accounts if you do it only once in a while.
However, in my experience, "ordinary" parcel shipping (like DHL) won't do this shipping either any more: You have to switch to the express ones (like DHL express, UPS, FedEx) even if you don't intend to do any express. The difference is easily 40€ vs 400€ for shipping a shoe box!
If you ship anything slightly larger then a shoe box and slightly more expensive then a notebook, think twice whether you don't want to accompany the freight with a seat in the commodity class in some airplane. It can easily be cheaper.
Matlab inspired the scilab ecosystem, which is based on numpy, scipy, matplotlib, pandas. This was a major driver for the data science industry for a decade before AI kicked in and tensorflow, etc. was also built ontop of these libraries.
While I personally try to avoid contemporary matlab at any cost, the open source ecosystem is great and matlab would be my go-to tool if they would not exist.
I just gave Zulip a try with a team of 3. I loved the UI because I spent years in pain finding things in big Slack and Mattermost installations (big = 30 users, nowhere near enterprise-level). For my two junior colleagues, instead, Zulip was too complicated. We evventually switched over to Discord.
I highly recommend Zulip to anybody who faces the problem that the concept of threads and channels is not a good fit to their mental model of tasks and groups in teams.
I wonder why they quit their strategy of (practically) "infinite email storage". Compared to other data sources, after identifying hand-written E-Mails and attachment this would give them superior access to high quality LLM training material. I assume Mail content and GDrive file content still superior to what you find in the general "open" web.
Severe, but you also need to use quite specific configuration to be vulnerable. I can imagine this pattern to be widespread in some classical PHP applications deployed via nginx.