In an interview with CNN, billionaire philanthropist Bill Gates responded to his prominence in anti-vaccine conspiracy theories that have spread online:
CNN: There are 16,000 Facebook posts espousing conspiracy theories about you and the virus... They're liked or commented on 900,000 times. On YouTube the top 10 videos that spread lies about you had almost 5 million views. It's also pointed out that according to Zignal Labs, which is a media analysis company that tracks this, misinformation about you is the most widespread of all coronavirus falsehoods...
What do you say to people who believe this stuff? Because I'm sure you're inundated...
Bill Gates: The combination of having social media spreading things that are very titillating, to having this pandemic where people are uncertain and they'd prefer to have a simple explanation — it's meant that these things are really, you know, millions of messages a day. And people like myself and Dr. Fauci have become the target.
Often the clever thing they do — you know, our foundation has given more money to buy vaccines to save lives than any group. So you just turn that around — you say, "Okay, we're making money, and we're trying to kill people with vaccines, or by inventing something." And at least it's true — we are associated with vaccines — but you actually have, you know, sort of flipped the connection that we have there.
You know, I hope it doesn't create vaccine hesitancy. I hope this whole story of innovation that's going on, that we do get the benefit of that. It's really the only good news I'm bringing you today, is that diagnostic therapeutic and vaccine innovation, these amazing private-sector companies, without the coordination you would've liked — they are doing it... .
Gates told CBS News he expects some at-home, instant coronavirus tests to be approved in the next two to four months. "These are well-meaning people," Gates told CNN of the diagnostics innovators. "This is a time when people are doing great work.
"So I hope the conspiracy stuff dies down."
Though Facebook has been in a bright spotlight since the Cambridge Analytica fallout, it's obviously not the only company that has to deal with issues surrounding how best to protect its users' privacy. That responsibility falls on all tech companies...
People learn in different ways, but sometimes the establishment fixates on explaining a concept in one way. If that’s not your way you might be out of luck. If you have trouble internalizing floating point number representations, the Internet is your friend. [Fabian Sanglard] (author of Game Engine Black Book: Wolfenstein 3D) didn’t like the traditional presentation of floating point numbers, so he decided to explain them a different way.
Instead of thinking of an exponent and a mantissa — the traditional terms — [Fabian] calls the exponent as a “window” that determines the range of the number between two powers of two. So the window could be from 1 to 2 or from 1 024 to 2048 or from 32768 to 65536.
Once you’ve determined the window, the mantissa — [Fabian] calls that the offset — divides the window range into 8,388,608 pieces, assuming a 32-bit float. Just like an 8-bit PWM value uses 128 for 50%, the offset (or mantissa) would be 4,194,304 if the value was halfway into the window.
There are a few details glossed over — the bias in the exponent and the assumed digit in the mantissa are in the provided formulas, but the reason for them isn’t as clearly spelled out as it would be for the “classic” explanation. If you want a go at the traditional classroom lecture on the topic, there’s one below.
In the early 1980s, there were a plethora of 8-bit microcomputers on the market, and the chances are that if you were interested in such things you belonged to one of the different tribes of enthusiasts for a particular manufacturer’s product. If you are British though there is likely to be one machine that will provide a common frame of reference for owners of all machines of that era: The Acorn BBC Microcomputer which was ubiquitous in the nation’s schools. This 6502-driven machine is remembered today as the progenitor and host of the first ARM processors, but at the time was notable for the huge array of built-in interfaces it contained. Its relatively high price though meant that convincing your parents to buy you one instead of a ZX Spectrum was always going to be an uphill struggle.
To be fair, running classic hardware on an FPGA is nothing new and there have been a few BBC Micros implemented in this way, not to mention an Acorn Atom. But this project builds on the previous FPGA BBC Micros by porting it entirely to Verilog and incorporating some of the bug fixes from their various forks. There are screenshots of the result running several classic games, as well as test screens and a benchmark revealing it to be a faithful reproduction of a 2MHz BBC Micro.