Dec 30

Well, it’s the last day of 2016 here, and I’m going to assume that I won’t receive any more rejections or…

Well, it’s the last day of 2016 here, and I’m going to assume that I won’t receive any more rejections or acceptances in the next 12 hours, and sum up my year’s progress in the field of short stories.

My goals this year were to write 15 stories, make 60 submissions, and (a late addition) have 15 stories on submission at one time.

Partway through the year, I achieved the 60 submissions and set a new goal of 75.

I actually wrote 10 stories (that I subsequently submitted), made 74 submissions – one short of my revised goal – and had a maximum of 13 stories on submission at one time.

I’m relaxed about the fact that I didn’t make the numbers; they’re a way to keep score and motivate myself, not some kind of mystical obligation. And I did, after all, exceed my initial submission goal, which was already up from the 52 submissions I made last year.

My number of form rejections, predictably, went up more or less proportionately with the number of submissions: 45, versus 29 last year. Personalised rejections also went up, by approximately the same percentage: 18, versus 13 last year. The number of acceptances actually halved, though, from 8 to 4. My explanation for this is that I was being more ambitious in the markets I submitted to this year.

Three out of those four sales were at professional rates, versus only one out of eight last year, and that’s reflected in the fact that my year’s income from short stories went up from $354.09 to $680.78. (I’m counting the $200 I got from providing two “treatments” to a futurist consultancy, since I wouldn’t have got that opportunity if I hadn’t already been a short story writer with professional sales.)

This means my lifetime income from short stories is now over $1000 (USD), based on 13 paying acceptances out of 174 submissions. That’s a hit rate a little better than 1 in 14, which actually isn’t bad for the industry.

Full details behind the link, if you’re interested, including markets, timings, and statistics.

http://csidemedia.com/shortstories/goals-aspirations-and-achievements/

Dec 30

This is an excellent example of a mundane murder by a conspiracy of terrified incompetents which became magnified…

This is an excellent example of a mundane murder by a conspiracy of terrified incompetents which became magnified into a legend by various interested parties – a legend which persists in the popular consciousness today, despite the facts having been known for many decades.

One of the things you can do if you have a generational jump in your series is to turn the earlier events, and characters, into legend. Sherri S. Tepper does it in Raising the Stones, and Brandon Sanderson does it between the first and second Mistborn trilogies. But it doesn’t need to take generations; the legend of Rasputin was well established within ten years of his death.

Originally shared by Jennifer Ouellette

The Murder of Rasputin: The 100th Anniversary of a Mystery That Won’t Die https://shar.es/1DJUYH

https://shar.es/1DJUYH

Dec 29

The starting point for this article – and it’s an interesting place to start – is the Antikythera Mechanism.

The starting point for this article – and it’s an interesting place to start – is the Antikythera Mechanism. But what the article is mainly about is rediscovering lost threads of knowledge in archives and documents that we already possess, and connecting them – something that deep learning will increasingly help with. The article doesn’t mention quantum computing, but the kind of massive-scale modelling that quantum computers will be capable of could be ideal for this kind of project.

http://www.theatlantic.com/technology/archive/2016/12/the-search-for-lost-knowledge/506879/

Dec 28

Early science fiction (or its predecessor, “scientific romance”) often featured a lone scientist making a…

Early science fiction (or its predecessor, “scientific romance”) often featured a lone scientist making a breakthrough in his (always his) home laboratory. These days, we know that important science isn’t done that way; you need a big lab with lots of expensive equipment and a dozen people with PhDs in order to achieve anything, and even then it takes years.

Only… maybe that’s not always the case.

Originally shared by Singularity Hub

“[I]n the same way that anyone can now experiment with software and electronics, we should be able to experiment with plug-and-play biotechnology.”

–Julie Legault, founder & CEO, Amino Labs http://suhub.co/2ir6nuu

http://suhub.co/2hwQdD5

Dec 28

It knows when you are sleeping. It knows when you’re awake…

It knows when you are sleeping. It knows when you’re awake…

Originally shared by HACKADAY

It is interesting to see the wide coverage of a police investigation looking to harvest data from the Amazon Echo, the always-listening home automation device you may know as Alexa. A murder investigation has led them to issue Amazon a warrant to fork…

http://hackaday.com/2016/12/28/police-want-alexa-data-people-begin-to-realize-its-listening