The Gnome desktop that shipped with Solaris over two decades ago is just as useful, possibly more useful, as the tablet-oriented hamburger menu UI of today.
I do. It's great that the UI is stagnated, but unfortunately the UX is too. Things like bluetooth not being integrated with the DE, and various details that we take for granted not working correctly
GTK is still alive. It seems like Cosmic desktop with GTK apps will be a reasonable path forward. Of course there's KDE and QT, but I mean as an alternative to those.
Accutrons and tuning fork watches are amazing. They have an incredibly unique sound/hum due to the tuning fork oscillating at 360 hz and the most smooth glide you'll ever see in a watch. Recommend a ESA 9162 or ESA 9164 over a pure Accutron for beginners though, a bit more resilient and far more affordable, though they don't have the exposed dial.
I believe this is why all modern digital watches use a 32768.0Hz crystal resonator, it's a power-of-2 frequency above the 20Khz top end of the range of human audio perception, to avoid the whole 'tinnitus on your wrist' thing.
I have an Accutron 214 and I swear it sounds higher pitched than 360Hz (sounds to my ear higher than A440, which I'm very familiar with). Maybe I'm hearing an overtone?
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.
Repair! We should fight for that. I want to be able to repair not just my electronics (or pay someone to do it for me), but also my tools and machines.
Anything that doesn't imply infinite growth is taboo... Which is weird because it will for sure happen, the question is whether you plan it or suffer from it
Yes. I don't think a broadcaster would accept a billion dollars for a 30 second "ad" during the Super Bowl with a message that said "buying this junk will not make you happy".
Making products that are hard to repair and which don't last long are the huge culprits. Also, when it comes to clothing, it is all fast fashion. Wear a few times, then dump.
Also labor costs to repair in the developed world is another factor.
For what it's worth, the mantra I was taught in the U.S. in the 1990s was ordered "recycle, reduce, reuse," but there was no indication that the ordering mattered. We were just taught about all three things.
> 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.
I think the root of it is most people coming into the software engineering industry just want a good paying job. They don’t have any real interest in computers or networks or anything else. Whatever keeps the direct deposits coming is what they’ll do. And in their defense, the web dev industry is so large in breadth and depth and the pay/benefits are so generous it’s an attractive career path no matter what your passion is.
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.
The part that is hard for me to parse is there is hype but there is also a significant amount of value being extracted by using LLMs and other products coming from this new wave. Everytime I read opinions like yours it’s hard to make sense of it because there is value in the tooling that exists. It cannot be applied to everything and anything but it does exist.
Comparing AI to crypto doesn't really work due to the utility of AI. If you believe that there haven't been meaningful use cases from the recent generative AI surge, then you might be out of touch.
On the investment side, it's hard to say that since ROIC is still generally up and to the right. As long as that continues, so will investment.
Then biggest gap I see is expected if you look at past trends like mobile and the internet: In the first wave of new tech there's a lot of trying to do the old things in the new way, which often fails or gives incremental improvements at best.
This is why the 'new' companies seem to be doing the best. I've been shocked at so many new AI startups generating millions in revenue so quickly (billions with OpenAI, but that's a special case). It's because they're not shackled to past products, business models, etc.
However, there are plenty of enterprise companies trying to integrate AI into existing workflows and failing miserably. Just like when they tried to retrofit factories with electricity. It's not just plug and play in most cases, you need new workflows, etc. That will take years and there will be plenty more failures.
The level of investment is staggering though, and might we see a crash at some point? Maybe, but likely not for a while since there's still so much white space. The hardest thing with new technologies like this is not to confuse the limits of our imagination with the limits of reality (and that goes both ways).
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