Bullshit. There are many older AI systems already in use with "immediate, transformative economic value" such as CNN based object detection for things such as Advanced Driver Assistance Systems or robots for sorting things or automated fruit picking robots and automated translation and transcription systems, also AI based image enhancements in many smart phones. These are well established AI-based systems, they have real value and they run at usable speeds on inexpensive embedded systems.

Not really. This is just emulating the processor and supporting MacOS system calls but does not emulate any of the Mac hardware other than the processor. This works because MacOS applications do not access the hardware directly but instead use system calls and let the operating system make the changes to hardware registers. DOS Applications on the other hand usually use System calls mainly for disk access but will mostly directly manipulate the video and sound card hardware and also often do things like reading keystrokes directly from the keyboard controller, changing the timer frequency and installing their own interrupt handlers etc. For this reason DOSBox emulates quite a lot of PC hardware beside the CPU.

I'm not completely sure about that. Even with a rather small budget you can still pay very high salaries for some positions. There are also huge differences in productivity and hiring a small number of highly paid, but also highly productive engineers can be a good strategy. If you pay 200k to a highly skilled engineer who is easily performing work that normally would require 3 average engineers with 120k each, than that 200k salary is cheap and not expensive.

The discriminator can't do magic. It can only decide based on the information contained in the training images. If the set of training images is rather small, the performance of the discriminator won't be very good. The discriminator will either overfit the training set and generate only images very similar to the ones already contained in the training set or won't be very accurate and the GAN will generate images are not plausible.

Potentially a GAN could be a way of extracting hard to describe information out of a human oncologist:
Let the GAN generate lots of images and let the oncologist rate them. The plausible images could then be used to improve the GAN.

I wonder if this can actually work. If you don't have enough images to train a classifier, why would training a GAN work? And even if training a GAN works, those images won't contain any information about tumors that were not already contained in the original images.

No, if you want to make AVX wider, then you would need to introduce a new instruction set. Intel did this several times. They started floating point SIMD with SSE which is 128-bit, then introduced the new AVX instruction set to support 256-bit wide SIMD and then AVX-512 to support 512-bit wide SIMD. If they want to scale up to 1024 or 2048-bit wide SIMD in the future than again, they will have to add new instructions and still need to support the old instructions for legacy software.

With traditional SIMD, your instruction set and the maximum width of your execution units are coupled. SVE removes this coupling. You can write SVE code now for a CPU with a 512-bit wide execution unit and would get a speedup later, without recompilation, if someone builds a CPU with a 2048-bit wide execution unit.

You don't understand what "this guy" (David Patterson and Andrew Waterman) is writing. Their main complaint with regular SIMD is that it makes the instruction set grow quickly over time, as CPU performance is scaled up and SIMD units are made wider but old instructions still need to be supported for backward compatibility. They support vector instructions similar to ARM SVE, as those allow scaling up the performance by adding wide execution units without requiring the introduction of new instructions at the same time. As an additional benefit, those instructions can reduce the code size compared to regular SIMD. So by the standard of that article ARM SVE is not SIMD. The SIMD instructions they call harmful are only those older ones such as ARM Neon, SSE, AVX, AVX2, ... that use a fixed SIMD size.

And at the same time, their main complaint with those instruction sets is how they evolve over time when backward compatibility is required. If you are building a CPU for a specific purpose, let's say HPC or an embedded application, where you don't have to support old code, regular SIMD with only vector size support can be a very good choice and very RISC-like choice.

The use of the x86 instruction set wasn't the big issue with Larrabee. Larrabee would have been a bad idea no matter if it used ARM or MIPS opcodes instead. Using x86 didn't help, but that was just one among many issues of that architecture. The issues of the Larrabee architecture are things such as no fixed function hardware for things such as z-buffering or rasterization, not enough hardware threads to hide the memory latency, memory interface with not that much bandwidth but expensive but not that often usefull cache coherency, etc, SIMD units were not wide enough etc. Sure: Without x86 and with a simpler decoder things would have been slightly better.

The native tribes part was for diabetes type 2 which is likely NOT an autoimmune disorder. The idea is that many autoimmune disorders happen when parts of the immune systems that were evolved to target once common germs and parasites never encounter their true target and then target similar human proteins.

"Germ phobia" or "excessive cleanliness" is not such a good description, e.g:: even without any focus on cleanliness, nearly everyone in developed countries will only drink clean water free of worms and similar parasites. They used to be very common, however.

I have nothing against targeted ads, but advertiser should be forced to reveal their target to the receiver of the ad. I think this would stop most of the abuse and would easy way to regulate this.

A blood test is also considered a search that requires consent or a warrant in Germany. But there is always a judge on duty for quickly granting a warrant to allow the blood test, even if the suspect does not agree to the test. A positive breathalyzer is considered reason enough to grant a warrant.

There should be even earlier examples of prior art, e.g.
a gamepad for a PalmOS PDA from 2000.

It's easy to see that this is not true. Plenty of European states without something comparable to the 2nd amendment, but with constitutional rules comparable to 1th, 4th and 5th Amendment.

The western European countries will likely increase their contribution slightly. It is not just Germany, that is doing rather well and is able to increase their contribution. However, even if they don't and the EU has to reduce their subsidies significantly, this is not a big issue. The real advantage of being in the EU is the single market and not the subsidies. The EU budget is just 1% of EU GDP, while the economic effect of the single market is much larger.

Uh, the UK did not leave the EU yet, but it already dropped from the fastest growing economy in Europe to the slowest growing one. The pound dropped significantly in value and prices increased. At the same time everyone can see that the "have the cake and eat it" Brexit promised, isn't going to happen and NHS isn't going to get the 350 million pound a week promised.

Bullshit, nudity is a very powerful form of expression, able to provoke very strong emotions.

Nope. The Brexit mess was already enough to save the EU. Popularity of the EU increased sharply in the EU27 because of that. Trying to censor content to save them, wouldn't work, but instead hurt them badly.

  As a European it is also always funny to see how Americans are screaming "Censoship!!!!!111!" when terrorism promotion or holocaust denial is being removed, but just shrug when content gets removed due to a tiny bit of nudity.