The state-of-the-art in feed readers was frozen in place sometime around 2010, if not before. By that time most of the format wars between RSS and Atom had long since died down and were all generally supported. The only new features to be added were simple functionalities like sharing out links from readers to social services like Facebook and Twitter. For fancier readers they also added the ability to share out to services like Evernote, OneNote, Pocket, Instapaper and other social silos or silo related services.
Month: June 2017
Let’s get this out of the way right at the start: Mastodon is not a Twitter killer. It’s more like Twitter crossed with Reddit, plus it’s open source. But while Mastodon is not going to take over the world, it does have promise as a community platform. Here’s why…
I first came across Mastodon in early April, via a Vice article. It was described as “a kinder, nicer, decentralized open source version of Twitter.” Curious to see what the fuss was about, I jumped over to Mastodon to check it out. I immediately came across its first quirk: Mastodon isn’t one single social network, like Twitter. Instead it’s made up of multiple “instances,” each one hosted on a different server. Indeed the most popular instance, Mastodon.social, wasn’t accepting new users when I arrived – due to its sudden ascension to Internet fame. So I had to sign up with another instance, in this case Mastodon.technology.
Cryptocurrency investing is in full swing. BitCoin, Ethereum, LiteCoin valuation spikes are seeing new records unstoppably. In light of Bitcoin’s latest surge, people started questioning whether it’s at its peak and whether it makes sense to dump it and switch to altcoins. I have developed a framework that might help you decide.
When it comes to cryptocurrency trading, there are four traits one should be looking at:
1) Liquidity: The ability for holders to cash out via exchanges and marketplaces.
2) Transactability: A factor of cryptocurrency’s default block mining time. The higher it takes time for a new block to appear, more difficult it is to use in everyday transactions, e.g. shopping for coffee, buying t-shirts, domain names, etc.
3) Anonymity: Whether public eyes can see what’s going on in the ledger, who is buying what, who is selling, etc. In contrast to popular opinion, most cryptocurrencies are not anonymous.
4) Programmability: The ability to develop trustless contracts on top of the public ledger. This is a state-of-the-art advanced concept introduced by Ethereum, which you can skip.
We now know that just a few “Likes” gives advertisers enough data to very accurately target advertising. Now, alternatives to traditional social networks are popping up to serve the needs of a more discriminating crowd of social networkers.
Back in 2009, Facebook bought FriendFeed, which had created the first “Likes.” Just liking a few things creates a very accurate picture about how we might vote or spend money. But a “Like” doesn’t have to be trapped within one Web site. I follow a lot of friends’ blogs with my iPhone’s Feed Reader and some of my #indieweb inventor friends publish their Likes as stories in their feeds. Many kinds of social objects can be transmitted through feeds such as calendar events, tagged people, location check-ins.
AI is hot, and it’s real. There’s no doubt. And when it comes to openness in AI, we are lucky. Thanks to Berkeley University, Google, and Facebook, we have great libraries one can use to form convolutional neural networks that will solve the world’s biggest problems; like “hot dog or not” 😃
Joke aside, this article is intended to give you a quick introduction to the hottest convolutional neural network frameworks available. For those of you who don’t know, convolutional neural networks are brain replicas in software form, literally. They were invented by Yann LeCun at NY University -now Director of AI Research at Facebook- by examining the biological structure of cat brains and replicating them in software.