As someone who "makes AIs" professionally (computer vision for diagnostic imaging & GANs for CAD), the typical "executive" doesn't understand how beneficial, impotent, or dangerous deep-neural-network-based AIs can be in different sets of hands.
I'm not a pure technocracy advocate, but our "LeAdErShIp" is woefully underequipped, at every level.
But it's not so simple and the media reporting is sometimes super biased and misrepresenting things.
Is the best military policy at that point to just wipe out the entire lot of them? Including the aid workers?
Also, I noticed you haven't even acknowledged anything about the innocent men, women, and children that have been brutally killed on camera time and time again, for all the world to see, broadcast live, in some instances. Children are Hamas fighters now.
But who gives a shit, amirite? Every critical Goyim opinion is just Jew-hate now according to the Israeli government. They can do no wrong. Israel Uber Alles is the only opinion that is not "Anti-Semitic".
What is Israel supposed to do? Passively standing by and watching their hostages being impregnated?
No, obviously not.
Killing international aid workers, Palestinian men, women, and children indiscriminately doesn't seem like a viable solution either and calling everyone who criticizes your military policy "anti-Semitic" is not what you should do either.
the paradox of thrift holds that collective thrift may be bad for the economy.
Collective thrift is great for the economy. It's just bad for corporate parasitism, economic stagnation, and cataclysmic wealth imbalance.
It renders parasitic business models as unviable and allows for the rebalancing of resources and development capital towards products that provide actual meaningful value for the vast majority of people.
Does "flexitarian" mean "eat less meat", basically?
I refuse to click the link because I hate the guardian.
Not gonna lie, them Beyer Dynamics are bangin'.
Earlier in my career, I compiled tensorflow with CUDA/cuDNN (NVIDIA) in one container and then in another machine and container compiled with ROCm (AMD) for cancerous tissue detection in computer vision tasks. GPU acceleration in training the model was significantly more performant with NVIDIA libraries.
It's not like you can't train deep neural networks without NVIDIA, but their deep learning libraries combined with tensor cores in Turing-era GPUs and later make things much faster.
Tech-priest.
Magos.
O, si es necesario, El Señor Arch-Magos.
Todos alaban al Santo Omnissiah, y así sucesivamente.
- ~~Francis M.~~ Frank Wilhoit