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When faced with this question, I just decided Farsi seemed a lot more interesting and accessible.
Why do you want to learn Arabic? Answering this question will point you to which dialect to learn..
Do you want to read Arabic? Learn Modern Standard. Do you want to watch television and movies? Learn Egyptian. Do you want to study Islam and the Quran? Learn Quranic. Do you have a particular interest in a region and speaking with the people of that region? Learn the dialect that is predominately spoken there.
I'm increasingly coming to the view that there is a big split among "software developers" and AI is exacerbating it. There's an (increasingly small) group of software developers who don't like "magic" and want to understand where their code is running and what it's doing. These developers gravitate toward open source solutions like Kubernetes, and often just want to rent a VPS or at most a managed K8s solution. The other group (increasingly large) just wants to `git push` and be done with it, and they're willing to spend a lot of (usually their employer's) money to have that experience. They don't want to have to understand DNS, linux, or anything else beyond whatever framework they are using.
A company like fly.io absolutely appeals to the latter. GPU instances at this point are very much appealing to the former. I think you have to treat these two markets very differently from a marketing and product perspective. Even though they both write code, they are otherwise radically different. You can sell the latter group a lot of abstractions and automations without them needing to know any details, but the former group will care very much about the details.
lol, even understanding git is hard for them. Increasingly, software engineers don't want to learn their craft.
As the LLM, generative AI, etc. bubble begins to deflate due to investors and companies finding it hard to make profits from those AI usecases, Nvidia needs to pivot. This article indicates that Nvidia is hedging on robotics as the next driving force that will continue to sustain the massive interest in their products. Personally, I don't see how robotics can maintain that same driving force for their products, and investors will find it hard to squeeze profit out of it, and they'll be back to searching for another hype. It's like Nvidia is trying to create a market to justify their products and continued development, similar to what Meta has tried, to spectacular failure, with the Metaverse for their virtual products.
After the frenzy that sustained these compute products transitioned from big data, to crypto, and now, to AI, I'm curious what the next jump will be; I don't think the "physical AI" space of robotics can sustain Nvidia in the way that they're hoping.
While recycling is last in that mantra, it is overemphasized more than the other two. It shifts the onus of stewarding our environment to the individual rather than the corporations and militaries, which wreck our planet more than any individual can. They'd rather you not look at what they're doing to the environment, and instead look at the individual.
Moreover, companies don't want you to reduce your consumption, they want you to keep buying their products. Reuse? Nah, here are products that are obsolete, buy the new model.