These people, like Musk, think laying on a couch with a pen in your hand pondering about random shit to be hard work. That’s where they come up with this kind of BS. That and being from a higher cast and never having worked a single honest day in his life and making a fortune out of corruption and networking.

I understand what you mean, and also understand the nihilistic stance, however, the same way humans don’t exist in a separate plane, the selfception and empathy toward others (which is not unique to us) allows a more than zero sum interpretation of art. Naturally the technical part can be reproduced by machines but the metaphysical part cannot. What becomes interesting is the notion that the metaphysical can be created post-hoc, which puts us squarely in the same situation as other poster wrote by quoting the passage of “The man in the high castle”.

Value is a human construct. In absolute terms, nothing has value, in practical terms, a bottlecap can be the most valuable item in the world. What attributes value to things is the human condition, remove the human and you have a tool, perhaps.

“In short, it appears that the “more human than human” phenomenon in poetry is caused by a misinterpretation of readers’ own preferences. Non-expert poetry readers expect to like human-authored poems more than they like AI-generated poems. But in fact, they find the AI-generated poems easier to interpret; they can more easily understand images, themes, and emotions in the AI-generated poetry than they can in the more complex poetry of human poets.”

AI writes poems for dummies and dummies like it. Fin

Otherwise, purposefully chosing less popular poems also biases the study towards poems of lower appeal from the human poets.

Americans are funny.

*Here let’s abandon the ZA fascist owned social media and move to the Russian fascist owned social media.

Reality does trump fiction.

Tell me you didn’t open the links without telling me you didn’t open the links. Have a nice day friend.

https://www.techpowerup.com/review/intel-core-i7-8700k/16.html

https://www.techpowerup.com/cpu-specs/core-i7-6700k.c1825

Ryzen was not more efficient than skylake. In fact, the 1500x was actually consuming more energy in nT workloads than skylake while performing worse, which is consistent with what I wrote. What Ryzen was REALLY efficient at was being almost as fast as skylake for a fraction of the price.

https://www.notebookcheck.net/Apple-M3-Max-16-Core-Processor-Benchmarks-and-Specs.781712.0.html

Will you look at that, in nT workloads the M3 Max is actually less efficient than competitors like the ryzen 7k hs. The first N3 products had less than ideal yields so apple went with a less dense node thus losing the tech advantage for one generation. That can be seen in their laughable nT performance/watt. Design does matter however, and in 1T workloads Apple’s very wide design excells by performing very well while consuming lower energy, which is what I’ve been saying since this thread started.

Intel has had a node disadvantage regarding Zen since the 8700K… From then on the entire point is moot.

We’re condemned to suffer uninformed masses on this. Zen 5 mobile is on N4p at 143transistors/um2, the M4max is on N3E at 213transistors/um2. That’s a gigantic advantage in power savings and logic per mm2 of die. Granted, I don’t think the chiplet design will ever reach ARM levels of power gating but that’s a price I’m willing to pay to keep legacy compatibility and expandable RAM and storage. That IO die will always be problematic unless they integrate it in the SOC but I’d prefer if they don’t. (Integration also has power saving advantages, just look at Intel’s latest mobile foray)

Ah the reddit nostalgia ❤

Geekbech is as useful as a metric as an umbrella on a fish. Also the M4 max will not consume less energy than the competition. That is a misconception arising from the lower skus in mobile devices. The laws of physics apply to everyone, at the same reticle size the energy consumption in nT worlkloads is equivalent. The great advantage of Apple is that they are usually a node ahead and the eschewing of legacy compatibility saves space and thus energy in the design that can be leveraged to reduce power consumption on idle or 1T. Case in point, Intel’s latest mobile CPUs.