Talking about deception, the picture in Der Spiegel article is definitely not how a SAR antenna looks like. In reality it's very likely an elongated structure that's supposed to unfold or extend to 10s of meters in total length.

Also in the public press they don't mention they are likely shooting for cm range precision, with good one pass 3d performance and with some underground seeing capability.

Let's skip who is clueless here and get to the point:

1) The corporations want to have the right to access the insides of your body.

2) They want to make sure that only spineless people who agree with this work for them.

This is not entirely true. A PhD student will be able to take on a problem proportional to computing resources available. This will open up some areas of research that would not be tackled otherwise.

So how do we know these changes are from COVID and from COVID alone?

Were they brain scanned just before getting COVID, too? Could any of the other conditions also have contributed to the changes?

Can you imagine tape running at 15km/h? I can not.

Let's convert the units to something more intuitive:
15 km/h = 4.1667 m/s = 416.67 cm/s = 164.04 inch/s

Wow, that's fast.

Here you can have a look at the actual mortality stats of weekly deaths in Germany.

You will notice that the flu 2 or 3 years ago had WAY higher excess mortality than whatever virus coctail is around this year. Even the summer heatwave was more lethal than supposed COVID.

Any one looking at the numbers seriously must ask themselves:
- who tests the tests ?
- what is the share of false positives ?
- what is the share of false negatives ?
- how about the share of false positives/negatives with the known presence of a very similar virus ?
- how do we know that the specific antibodies are specific to this variant of the virus and universal across people with different immune systems and different prior exposures ?
- how can we exclude other antibody variants from interfering with this specific virus ?

Without these answers at best we can look at these articles as some kind of pseudo-scientific garbage-in garbage-out with unknown bias.

I'd like to know dr. Fauci's grades from probability and statistics, if he passed these subjects at all.

Can he explain, per example, how the current flu season is statistically worse than let's say the flu 3 years ago or the really bad one 12 years ago and how come the hospitals were nearly empty at the height of this so called pandemic compared to "normal" flu in December/January this year.

The numbers just don't add up.

Probably not, there were only about 1M reported online.

Wow, virtual desktops are finally enabled on Windows and only 27 years after this was a standard feature on my HP Apollo workstation. That was a slow "embrace", Microsoft.

I would far prefer a 4K display at 240 fps to an 8K display at 60 fps. The 8K spatial resolution is overkill for most people. High frame rates will be far more useful for games and watching sports.

I really hope this laptop will sell well because it's the first non-apple laptop offering 16:10 aspect ratio and above-HD resolution in many years. Maybe this will convince HP and others to again make some 16:10 laptops, too.

That's not completely true. There seems to be some support for the feature in windows already because there have been a handful of utilities that enabled the feature on Windows 7 (with some bugs attached).

However, I don't get it why Microsoft doesn't add this feature to the regular windows interface. In my opinion it would be the most productive feature added. If they just repackage Windows 7 with addition of virtual desktops and call it Windows 11 they will sell a lot.

That's true, but how is that different from using a credit or debit card or any bank account that's associated to real person identity?

For those who are more involved in AI research it is not so surprising. Similar general approaches to learning have been used in the "cognitive" branch of AI research for the last 15 years or so. The buzzword changed from "cognitive" to "deep learning" recently.

The key to success of AlphaGO is the position evaluation function that is learn from data. The surprise here is that learning from the game endings of internet GO players and somewhat informed computer vs computer games is enough to train an evaluation function with the predictive power to beat the world champion. In the old days of AI an expert-designed heuristic function would be used instead and a kind of smart position tree search would do the heavy lifting. But obviously this didn't work with GO due to combinatorial explosion and very difficult evaluation in the beginning and middle stages of the game.