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.
> It seems you have to decide, do you want to learn Moroccan Arabic, Egyptian Arabic, Levantine Arabic, Iraqi Arabic, Quranic Arabic, Modern Arabic...
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.
> 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.
lol, even understanding git is hard for them. Increasingly, software engineers don't want to learn their craft.
The ChatGPT, LLMs, generative AI, and other hyped usecases have been the driving force for Nvidia: it injected huge sums of money into their R&D, which also stimulated the economy as developers ran to build build build in order to keep up with the demand for datacenters, which in turn required more infrastructure building to satiate the thirst and power needs of datacenters, etc. Before, ChatGPT, I recall the hype was blockchain, crypto, and NFTs; and maybe before that, it was "big data."
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.
> This secrecy was maintained long after the end of the war. “Efforts were made to give the message that the uranium came from Canada, as a way of deflecting attention away from the Congo..."
> Under Belgian rule, Congolese workers toiled day and night in the open pit, sending hundreds of tonnes of uranium ore to the US every month.
Happy May Day! Here's a Twitter thread [0] that has excerpts/paraphrases from an old Soviet pamphlet called "How Soviet Workers Spend Their Leisure." (rolled up version [1])
You can find a scanned version of the pamphlet here [2]. There were many of these pamphlets published. One day I will scan them and post them. There was one on Waterways & Transport in the USSR, one about Soviet theater, one about the food industry in the USSR, one about light industries of the USSR, and one about the countryside of past and present of the USSR. I think these were a series published in 1939.
Article 119 of the Soviet Constitution:
> ARTICLE 119. Citizens of the U.S.S.R. have the right to rest and leisure.
>
> The right to rest and leisure is ensured by the reduction of the working day to seven hours for the overwhelming majority of the workers, the institution of annual vacations with full pay for workers and employees and the provision of a wide network of sanatoria, rest homes and clubs for the accommodation of the working people.
'Sanatoria' being health/medical centers or hospitals.
There's a recent episode in the Citations Needed podcast [0] (episode 179) that discusses public libraries. There is a bit of history that is presented about Andrew Carnegie's contributions to the current system we have today: how the US library system started out with private funding before transitioning to public funding.
One misconception that many make regarding the Nyquist frequency is thinking that the sampling rate needs to be twice the highest frequency.
Your sampling should really really be twice the bandwidth.
e.g. your bandwidth is 100 MHz centered at 1 GHz (it needs to actually be bandlimited to 100 MHz**). You do not need to sample at 2.2 GHz. You sample at 200 MSPS (really, you should sample a little more than that, say 210 MSPS, so that the bandwidth of interest doesn't butt up against the Nyquist zone edges.)
[0]: https://graphite.io/five-percent/ai-now-writes-as-many-onlin...