A varied and inconsistent list of recently interesting items (for some definition of recent, and some definition of interesting):
AI / Machine Learning
“machine intelligence will sit between our actions and the world”
“Enhance that image (just like in the movies)”
“The Google Brain Team is open-sourcing #TensorFlow model code for summarization research”
Udacity’s TensorFlow 101: [https://www.udacity.com/course/deep-learning–ud730]
Stanford’s TensorFlow 101: [https://twitter.com/math_rachel/status/775764096427765760]
“We show that WaveNets are able to generate speech which mimics any human voice and which sounds more natural than the best existing Text-to-Speech systems, reducing the gap with human performance by over 50%.”
“chatbots have to compete with Google and, so far, it does not seem as if they have the same great potential”
[https://www.ft.com/content/35ce58be-6920-11e6-a0b1-d87a9fea034f – FT article]
“Their reactions showed that people may not be ready for bots that are too human-like.”
The lesson here appears to be more that if you get the niche right, people will be happy to sign up to very specific topics via the chat channel.
Learning ‘too’ well, or not well enough
“If AI learns language sufficiently well, it will also learn cultural associations that are offensive, objectionable, or harmful. At a high level, bias is meaning. “Debiasing” these machine models, while intriguing and technically interesting, necessarily harms meaning.”
First there was HITL (human in the loop), then there was SITL (society in the loop): “we still lack mechanisms for articulating societal expectations (e.g. ethics, norms, legal principles) in ways that machines can understand. We also lack a comprehensive set of mechanisms for scrutinizing the behavior of governing algorithms against precise expectations”
The Black Sheep Problem: analysing english texts, “black sheep” outnumbers “white sheep” by 25:1.
Is already a winner, simply based on its name, but is a warning for automated classification projects…
And not forgetting: the ‘uncanny valley’, when increasingly life-like robots go from cute to creepy
A nice and simple approach for creating a snapshot view of your current political and system architecture, and getting a sense of where it is (or is not) going.
“So it’s not just agile we are rebelling against, it’s the tyranny of misapplied doctrine.”
And a detailed look at the history and practice of Wardley Mapping by… Wardley himself.
Blockchain is not about identity
Spinning LED displays: [http://s-m-l.org/]
(but probably wasted on birds: [http://io9.gizmodo.com/5881551/why-birds-dont-like-to-watch-movies])
“Combining asset, environmental & now volumetric VR, content (the capture of 4D human performances), we are well on our way to a very new unknown, a complete reinvention of story telling, education experiences & other unique media consumption opportunists”
Andrew Betts calling for anyone interested in contributing some thought about paywalls