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Why I’ve stopped posting on Medium

Posted on March 27, 2017 | by Bas Grasmayer

A recent change broke my trust and made me act on my pre-existing skepticism. That change is not the membership plan.

Okay, I haven’t completely stopped publishing on Medium, but I have stopped making Medium the go-to destination for my audience. Instead, I’ve placed focus on my own WordPress-based site again, and cross-post articles here after some time, without sharing to socials.

This article will be my last exception to that rule: the Medium is the message, after all.

The reason for my recent switch has to do with the limited access Medium gives me to data, combined with the lack of meaningful organic traffic, and a breach of trust, but before I dig into that I want to emphasize the other side of the coin.

Why I love Medium

Medium’s editor is slick. Sometimes I use it to write pieces I have no intention of publishing to Medium. Sure, there are desktop editors that do it, but Medium is free and available in any browser, so I can use it anywhere.

I started a weekly newsletter about innovation in the music business over a year ago with the intention of writing a new thought piece every week. At some point, the pieces started getting longer and it didn’t make sense to post the entire texts in emails anymore. I also wanted to make the content more shareable. So I started publishing to Medium and started the MUSIC x TECH x FUTURE publication, which now sits at well over 5,000 subscribers.

Medium also has a great community, and its highlighting feature that works across all its publications and authors’ pieces really adds a lot of value. In the obvious way, that it points out friends’ highlights that let you quickly see important information, or give you a perspective on what people you follow find important. But also in a less obvious way: if I share a Medium article to my newsletter followers, many of whom follow me on Medium, they’ll automatically see passages I’ve highlighted.

But that’s about it. I’ve always assumed there were more reasons to love Medium, but as an author who is skilled at driving his own audience to destinations, I think that’s kind of it.

Medium’s organic traffic problem

About a year ago, I built a site for my newsletter which had quickly turned into a consultancy agency after I started getting requests to share my expertise. I wanted to publish my articles on my own WordPress, but it was just too cumbersome. I didn’t feel the motivation to publish on my own site, because my articles looked so much nicer on Medium.

I realized I needed to build a personal site that I could be proud of. So I redesigned musicxtechxfuture.com, put the agency to the background, and the content front and center. From that point onwards, I started posting new articles to both platforms simultaneously. Sometimes it would look nicer on Medium, and sometimes it would look nicer on my own WordPress. Depending on aesthetics, I’d make decisions about which links to prioritize when sharing to my newsletter and socials.

This taught me something about organic traffic on Medium. It turned out that that 5,000 publication followers number is a bullshit vanity metric.

Medium article view count — I didn’t share any of these on social media.

The above data includes traffic from people who follow my personal account (not publication) on Medium, because they get push notifications from the app, or email updates from Medium.

Meanwhile, the limited data Medium gives you makes it very hard to understand from what context these people are finding my articles. Are they my personal audience, my publication audience, random people using the Medium app? I have no idea.

Which brings me to the next issue…

Medium does not give you enough data — and it controls your connection to your audience

The above is a typical issue when you publish on platforms, but I’d really love to know more about my audience. Instead, Medium basically doesn’t tell you where they come from, doesn’t tell you what links they’ve interacted with, it doesn’t tell you what keywords they used to find your content… It just gives you this:

Medium referral count with more sources — Pretty useless…

Usually this is okay — that’s the sacrifice you make for publishing to a platform where your content is exposed to a greater community. But how is it that I get less than 50 views on 2 pieces after multiple years of posting, including a year of consistently posting every week and building up over 2k followers on my personal profile, 5k followers on my niche publication, having multiple articles featured by Medium staff, and being featured as a top writer in music?

My WordPress has more organic traffic than that!

So basically: Medium offers a nice editor & easy way to publish. In exchange, you hand over the audience you build up, your content, and your data. Yet I still was giving Medium the benefit of the doubt.

Then I wanted to connect a domain name to my publication

Previously, you had to submit an application and then they’d send you instructions for the process of pointing your domain name to your publication, so that your Medium publication lives on your own domain, but is still linked into the wider Medium ecosystem.

They still do that. Except since last month, they’ve started charging publication owners $75 for that (way above cost price, since you still have to pay for your own domain name). So in all the noise about introducing membership programs to support authors, they’re also monetizing their creators. It’s like Soundcloud for articles. And we all know how things have been going for Soundcloud.

That’s when I lost hope. And trust.

It just doesn’t make sense. It shows a confused strategy. I’m not sure how they justify the registration fee, because as I’ve explained above, there’s very little you’re getting in return.

You’re really better off sinking a few weekends into setting up a WordPress installation and learning to tweak a theme. You will have more control and ownership over your audience, can engage with them more directly by integrating tools, and you’ll end up learning a thing or two about web development: a valuable skill to have.

Until I start seeing Medium’s bogus follower counts translate into meaningful traffic, I’m done.

I’ll keep publishing to here. Perhaps sometimes a week later. Perhaps a month. Just whenever I get around to it. It’s just that Medium simply doesn’t generate traffic to make it worthwhile to give up so much data, insight, and direct relations to my audience. Why give ownership of that to a platform?

In the last months, I’ve gotten notifications that articles of mine were “featured by the Medium staff” — this had no meaningful impact on traffic. I’m also featured as a “Top writer in Music” — this had no meaningful impact on traffic, either.

So, my Medium’s not a priority anymore, until the company figures out a way to make it a priority.

I’ll still occasionally use it for articles that don’t fit the scope of my own page. Medium remains the best way to quickly share some thoughts, but as a publication I’m out.

I really love your product and its elegancy, Ev, but until you map out a clear strategy that’s focused on creating more value for creators, and find a way to articulate that strategy thoughtfully, I’m out.

I just don’t trust Medium anymore as the home for my creativity.

Love,
Bas

Music for the Snapchat generation: conceptualizing Music Stories

Posted on March 19, 2017 | by Bas Grasmayer

Whether you’ve ever used Snapchat or not, you have felt the influence of the social app’s design choices. How will it shape the future of music?

Snapchat is perhaps best known for its photo filters

Snapchat created something called ‘Stories’. Stories are composed of photos and short videos that stay available for 24 hours. They allow people to get a look into other people’s days, including celebrities. The feature has been shamelessly copied by Facebook and integrated in Instagram, but the low-barrier channel-flicking content format is now seeing integration in unexpected places.

Forbes launched Cards, Huffington Post launched storybooks, and Medium launched Series. This led David Emery, VP Global Marketing Strategy of Kobalt Label Services, to ask the question: what will the Snapchat for music look like?

I decided to take a stab at the challenge and conceptualize how people may interact with music in the future.

How people engage with content

I specifically looked at Soundcloud, Instagram, and Tinder for some of the most innovative and influential design choices for navigating, sharing, and engaging with content. Soundcloud for the music, Instagram for visuals, and Tinder for how it lets people sift through ‘content’. I apologize in advance for all the times I’m going to refer to people on Tinder as ‘content’, but that’s the most effective way to approach Tinder for the sake of this article.

Learning from Soundcloud

One key strength of Soundcloud is that every time you open the app or web client there’s new content for you. Either from the artists you follow, through its Explore feature, or through personalized recommendations. People should be able to check out content as soon as they open the app.

Text is easy to engage with: you can copy the parts you want to comment on, quote it, and comment. With audio this is harder. Soundcloud lets people comment on the timeline of tracks, which makes it much more fun to engage with content. YouTube solves this problem by letting people put time tags in comments.

If you really love the content, you can repost it to your network. This makes the service attractive to content creators, but also to fans, because the feature gives them a way to express themselves and build up their profiles without actually having to create music themselves. Compare this to Spotify, where the barrier to build up your profile as a user is much higher due to the energy that you have to put into creating (and maintaining) playlists.

Recommendations mean that people can jump in, hit play and stop thinking. Soundcloud is one of the few music services that seem to have found a great balance between very active types of behaviour, as well as more passive modes.

Learning from Instagram

There’s a reason why I’m highlighting Instagram instead of Snapchat. Instagram has two modes of creation and navigation. You can either scroll down your main feed, where people will typically only post their best content OR you can tap one of the stories at the top and watch a feed of Snapchat-like Stories. Tap to skip!

Instagram makes it really easy to create and navigate through content. Stories’ ephemeral quality reduces the barrier to sharing moments (creating) and makes people worry less that they’re ‘oversharing’. Snapchat’s filters, which Instagram hasn’t been able to clone well (yet), make it easy to create fun content. People open up their camera, see what filters are available, and create something funny. No effort, and it’s still fun for their friends or followers to watch.

Learning from Tinder

The brutal nature of dating services is that profiles (people) are content, which also means that the majority of users will not be interested in the majority of content offered on the service. So you can do two things: make going through content as effortless as possible and build a recommendation engine which delivers the most relevant content to users. Tinder’s focus on the former made them the addictive dating app they are today.

Quickly liking and disliking content is like a bookmarking function which also helps to feed information to recommendation algorithms.

If you really want to dive deeper into a piece of content, you can tap to expand it (open profile), but basically the app’s figured out a great way to present huge amounts of content to people, of which the majority is ‘irrelevant’, and make it engaging to quickly navigate through it.

Must haves

The key qualities of social content apps right now are a high volume of content, easy creation and interactivity, and fast navigation. Bookmarking and reposting allows for users to express themselves with little effort.

Breaking it down

This is the most important feature for the end user. There are already a lot of good services in order to access large catalogues, to dive deep, to search for specific content… Music Stories should not try to compete with that. Instead it is a new form of media, which needs to be so engaging that it will affect the creative decisions of artists.

Soundcloud’s feed is a good example, but so is Snapchat’s main Stories screen (pictured below). Both show the user a variety of content that they can engage with immediately by hitting the play button or by tapping on a profile image.

The content in the app needs to be bite-size so users can get a quick idea of the content immediately and decide whether they like it or not. If yes, they should be able to go deeper (eg. Tinder‘s ‘tap to expand’) or interact, like reposting. If not, they need to be able to skip and move on.

When a user has an empty content feed, you can serve recommendations. When a user went through all new content already, you should invite them to create something.

You want people to be able to lean back, but ideally you’ll pull people into your app a few times a day and get them to browse through some fresh content. To get them to re-open the app, there needs to be meaningful interaction. That can come in the form of swipes, comments, or remixing.

One of the cool things about Snapchat is that you can discover new filters through your friends. Think:

“Woah, you can be Harry Potter? I want to be Harry Potter, too!”

So if we extend that to Music Stories, creating some music idea needs to be as simple as making yourself look like Harry Potter or face-swapping with a painting or statue in a museum.

Snapchat is why millennials visit museums. (jk)

This means that artists should be able to add music to the app in a way that allows people to remix it, to make it their own. All remixes can stay linked to the original. You could even track a remix of a remix of a remix in the same way you can see repost-chains on Tumblr.

How do you make it easy to create and to interact with music?

That’s the biggest challenge. People are shy or may not feel creative. You could let them use images or video (like Musically), or you could let them replace one of the samples in the beat with a sound from their environment (imagine replacing the “yeah” from Justin Timberlake‘s SexyBack with your own sound), or you could let them play with the pitch of the vocals.

Options need to be limited, easy-to-understand and manipulate, and inviting. It should be as simple as swiping through Snapchat filter options.

Through creation and interactivity, users build up a profile to show off their music identity. Content is ephemeral, unless you choose differently (like on Instagram). I’d go for ephemeral by default and then give users the option to ‘add to profile’ once content reaches a certain engagement threshold. This will need a lot of tweaking and testing to get right.

Interactions are not ephemeral. Reposts go straight to profile, until you undo them.

Stories are all about being able to jump through content quickly. Tinder’s Like / Dislike function could work in Music Stories as a ‘skip’ and ‘bookmark’ function. By letting people bookmark stuff they’ll have content to come back to when they’re in a more passive mode. Perhaps an initial Like would send music to a personal inbox which stays available for a limited time, then when you Like content that’s in that inbox it gets shared to your profile, or saved in some other manner.

Music Stories should NOT be a Tinder for Music. Tinder’s strength is to let users navigate through a lot of content that doesn’t appeal to them, while making the interaction interesting. It’s an interesting model that manages to create value from content that may be irrelevant to some users.

Translating to features

The next steps are to start translating the concept into features. This means user stories (what you want users to be able to do with the app) need to be articulated clearly. Mock ups of specific interactions need to be drawn and tested with audiences. Challenges need to be considered, like the classic issue of getting people to start creating content when there’s no audience in the app yet (Instagram solved this by letting people share content to other social networks).

Now I invite YOU to take this challenge and develop the vision for Music Stories.

(Don’t forget to read David Emery’s original post, which prompted me to write this piece)

Quick guide to the relaunched Anchor: reinventing the radio format

Posted on March 13, 2017 | by Bas Grasmayer

You may remember Anchor: it started as a sound-based social network where users could start discussions that others could chime in on. A kind of long-form Twitter, but with voice instead of text. I remember getting involved with some discussions started by Bruce Houghton, from Hypebot, but people’s interest soon waned and many of us moved on.

So the startup went back to the drawing board and re-envisioned its service, relaunching with a complete overhaul last week. It now allows users to include music in their audio stories and aims to “completely reinvent the radio format by making it easy for anyone to easily broadcast high quality audio from your phone, to wherever audio is heard.”

My first impressions

I paused writing in order to do my first show on Anchor (listen now) in order to get more familiar with the service. You can check it out for my first impressions on the call-ins feature, which allows station hosts to let other people get some airtime, the ephemerality, as well as some thoughts about Anchor as a place for music curation.

Expires in 24 hours, so you may be hearing something else by now.

After playing around with the app a bit more, checking out some of the content, including Cherie Hu’s, I’ve come to revisit my first impressions.

Anchor is like Instagram for audio

Instagram lets people share moments from their lives. It’s used by professionals and amateurs. Some content is more social and some is not. And with the introduction of Instagram Stories, a lot of the content has become ephemeral. That’s exactly what Anchor is, or could be, but for audio content.

While I was initially skeptical of Anchor’s ephemerality, it may be an upside: it reduces the hurdle for sharing content and stimulates creators to deliver content in a bite-size format. People can use it to record their day and share their experiences, like music tech blogger Cherie Hu is doing at SXSW, while others use it as an extension of their professional podcasts or YouTube channels.

When someone calls in, it can be added to the station, after which it lives for another 24 hours. The host needs to take into account that whatever the caller might be responding to is not available anymore by the time their audience checks it, but that can be easily mitigated by adding a short “So yesterday I asked how people feel about fainting goats, and here’s what some of you had to say!”

As people add new audio, it’s added to their stories similar to what Snapchat (or Instagram) do in their apps.

The Instagram analogy extends:

A station can be seen as a profile
Pressing favorite is akin to following
Calling-in is like tweeting & featuring a call-in is like retweeting

It seems Anchor may be able to deliver upon Soundcloud-founder Alexander Ljung’s vision of the web becoming a more audible medium, with sound possibly becoming bigger than video:

“Sound is one of the only mediums that can be consumed completely while multitasking, so it has the potential to do so much more on the web than it’s already doing.”

So forget the radio lingo: Anchor is still a sound-based social network and it’s pretty awesome.

Experiment with it. Develop a format. Then ping me on Twitter, so I can check it out.

Is killing privacy the best we can do against secondary ticketing?

Posted on March 6, 2017 | by Bas Grasmayer

In its push to become a data-driven business, event organisers smell opportunity by connecting ticketing to real identities.

It’s estimated that the market for secondary ticketing is worth $1bn in the UK alone. It’s a problem for fans and artists, since tickets are often bought in bulk by resellers and sold at a much higher rate to fans. None of that added margin goes to the artists (although there are some allegations…).

Recently, Iron Maiden opted to go ‘paperless’ for their UK arena tour in order to curb ticket touting. With success:

“In 2010, 6,294 tickets appeared overnight on three of the major resale platforms — Viagogo, Seatwave and Get Me In! — on the day of sale. In 2016 this had dropped to 207, all on Viagogo, as Live Nation/Ticketmaster had agreed delist the tour at Iron Maiden’s request.”

The tour didn’t go fully paperless, and paper tickets were available, but came with strict requirements towards the fans:

Tickets must carry the name of the purchaser;
Ticketholder must present ID and credit card at the door.

While effective, this is worrying and certainly not a “victory for concertgoers” as Iron Maiden manager Rob Smallwood called it.

It’s not just ticketing: privacy is under attack from all fronts. Many events have decided to go ‘cashless’, requiring people to top up chips in special event wristbands. This way, you know exactly who is ordering what, where, how much, and at what time of the night. If you’re a large organisation like Live Nation, you can build up an extensive profile of users over time.

Valuable data, which may help secure sponsors for alcoholic beverages and helps you to target fans with specific offers, but that data comes with a great responsibility.

Privacy in the age of artificial intelligence

The first multi-day conference and festival I attended that was nearly completely cashless was Eurosonic Noorderslag, earlier this year. It’s a music business conference and showcase event, and has lots of bands playing every night in nearly every bar and club in its host city, Groningen, in The Netherlands. It presented cashless payments as a convenience (ie. to reduce queues at bars).

I immediately researched ways to opt-out and found no good way. It was possible to ‘anonimize’ your chip, but you still have to charge it with your bank card, which ties your identity to it through the transaction records. I had good reason to opt-out and so do you.

On its own, “Bas entered venue X at 21:03 and drank a beer at bar Y at 21:24” seems like useless information. And it probably is. I’m not from a country or culture that frowns upon alcohol, so I’m unlikely to be blackmailed with such a bit of information. However, it is possible for someone to claim they met me there and try to pull some sort of scam. Or worse, for someone to claim they are me by using anecdotal evidence based on these random bits of data, and then scamming someone else.

Criminals are moving from the higher risk ‘traditional crime’ into ‘cybercrime’ which is perceived as lower risk.

More than how someone might use a specific data point, what we should really be worried about is larger data leaks. There are parties that try to collect all information from big leaks. Some use it for good, like Have I Been Pwned, where you can search your email address to see if your login info of any site has leaked. But some people store it for more malicious purposes.

Over time, patterns can emerge in these data sets. These become easier to identify through machine learning algorithms, which can go through large datasets faster than a person could, and can get better over time at making sense of data. Many great ones are open source, like Google’s TensorFlow.

Now, your attendance of live events and what exactly you do there can be tied to your hacked LinkedIn or Dropbox account. Whoever holds that data has power over you.

Artificial intelligence could be trained to send hypertargeted scam emails, which use all the data available about you to trick you. This could result in ransomware being installed on your computer, which often means your hard drive is encrypted and locked and the key to decrypt your data is only turned over after paying a certain fee (usually done through Bitcoin, which makes it harder to track the perpetrators).

This could happen to your phone, but also to your car, or any other devices which are likely to be connected to the internet in a few years from now.

The important take-away is that the more data someone has about you, the wider their ‘attack vector’ becomes. This means they have more paths to target you. Any data point on its own usually doesn’t have much value, but it’s when large amounts of data get combined that value emerges. Facebook, a data company, has a market cap of nearly $400bn.

Privacy in music should not be an afterthought

We have learned a lot from events. We’ve learned not to use biker gangs for security. We’ve learned to have first aid staff at festivals that are trained to dealing with the effects of alcohol poisoning and mishaps with drugs. We have come a long way to providing experiences that are exciting and safe at the same time.

Now it’s time to worry about our guests’ safety before they arrive, and after they leave our events. Let me be clear:

If you request your guests to sacrifice their privacy for ‘convenience’, and you get hacked, leading to people getting blackmailed or scammed, it is YOUR responsibility;
If you request this data from guests, make it clear and easy for them to find out how you’re storing the data, what you’re using it for, and when it will be deleted. Don’t just refer to some boilerplate privacy policy full of legalese;
When things go wrong, be honest about it and communicate it immediately, so people can take security measures;
Never store data about people for longer than you need it. Not storing data is the best way to prevent it from being leaked.

(small sidenote: if anyone ever sent you a picture or scan of their passport, go delete that file and email now)

What can you do as a fan?

Do whatever best protects your privacy. If it feels like you’re being a pain in the ass by requesting an anonimized wristband, great. You should be a pain in the ass. Pain is a great motivator for change. So by all means, request information about how your data is stored and protected, how long it’s stored, for what purpose, etc.

Perhaps the hardest part is willing to skip concerts that don’t have privacy-friendly options. As a consumer we should understand that solving ticket touting by sacrificing guests’ privacy is not a solution. It just shifts the issue and places an additional cost on the consumer on top of the ticket price.

Event organisers need to find a way to mitigate or at the very least minimize that additional cost. This means ticketing organisations have to take measures to invest in technology which helps protect and secure guests’ privacy. But they need to feel pressure, or pain, in order to that.

Data, for ticketing companies, is the same as it is for malicious hackers: the more data you can get on a person, the more valuable it becomes.

11 startups innovating the future of music

Posted on February 27, 2017 | by Bas Grasmayer

Techstars Music just announced their first batch. A quick look at the selected startups.

It feels like we’re seeing a new wave of music startups. A lot of the excitement that marked the time around 2007–2010 is back in the air, and it’s great to see an acclaimed startup accelerator like Techstars dedicating a program to music.

As platforms from that age, like Spotify and Soundcloud, are reaching maturity and estranging early adopters, a new generation of music startups is starting to emerge. Techstars Music just announced their first batch of music startups, so I wanted to highlight each of them — as what these startups do may well end up profoundly shaping the business of music in years to come.

Alphabetically:

Amper — ampermusic.com

A tool to create AI-composed music for videos and other professional content. Unfortunately I haven’t been able to test out the product yet, and their only demo video doesn’t reveal much. It seems like they’re working on something similar to Jukedeck, but possibly in a way where users have a higher degree of influence on the final outcome.

AI-composed music is an important trend for years to come and Amper‘s working with an impressive team which includes accomplished Hollywood sound designers and composers.

Hurdl — hurdl.com

LED wearables to enable interactive audience experiences at live events. They let artists light up entire audiences, or just one fan. Their pitch deck suggests lighting up people based on gender, Spotify top fans, or sports team preference. It also allows for direct messaging to fans during or after shows.

Hurdl Ecosystem

JAAK — jaak.io

I first heard about JAAK when I met the founders at Music Tech Fest’s blockchain roundtable in Berlin last year. They’re using blockchain technology to connect music, metadata, and rights information. They’ve been working on pilots with Viacom, PRS for Music, and PPL. One of their founders is a core developer for Ethereum and is behind Swarm, a distributed storage platform, creating a kind of peer-to-peer web, instead of server-centric.

Pacemaker — pacemaker.net

I’ve actually urged people to use this app in a recent piece about being an early adopter. It uses smart algorithms to turn your Spotify playlists into DJ mixes. You can then edit transitions and play around with effects. It also has a social component: you can comment on and like other people’s mixes in the app.

There’s a DJ by the name of bas on Pacemaker who has some particularly awesome mixes, so be sure to follow him

Pacemaker apps

With Techstars’ support, I hope they figure out how to reach that exponential growth. I think it’s a really good time to start using the app and build a profile for yourself, so you can benefit optimally when they reach that growth.

(Personal wishlist: more editing controls on transitions on mobile, particularly exact timing, rather than snapping to markers )

Interactivity and adaptivity of music is an important trend. I see Pacemaker as one of the first companies who has a great chance of being one of the first leaders in this domain.

Pippa — pippa.io

The pitch on Pippa’s homepage differs a bit from what I’ve read elsewhere, so I assume they’re pivoting. They currently present themselves as a platform which helps to distribute your podcasts and analyze data based upon that. What I’ve read elsewhere sounds very promising:

“Pippa makes podcasting simpler, smarter, and more profitable by enabling targeted ads to be delivered dynamically to listeners. Pippa technology can also be used to remove ads from podcasts, enabling future subscription revenue products.”

PopGun — wearepopgun.com

Another startup specializing in AI-composed music. PopGun uses deep learning to create original pop music. One of its founders is well-known in music tech circles, having previously founded We Are Hunted, which sold to Twitter and eventually became Twitter Music.

Have been having some great conversations about Creative AI recently. Particularly discussing the human element: some argue computers will not be capable of creativity, but in the way we perceive the world around us, we as humans will use our creativity anyway… I believe that opens up the possibility for a future in which AI-created art can become mainstream.

Robin — tryrobin.co

The pitch:

“Robin is a personal concierge for concerts and live events. Robin reserves and secures tickets on behalf of fans while providing real-time demand data to artists and event organizers.”

It’s an interesting proposition in times of secondary ticketing… I’m concerned they may be met with some skepticism, but the idea of having fans personally connect to a tool like this and then securing tickets before scalpers can get to them seems like a good addition to the ticketing landscape.

They’re currently available in the US and Canada, and will be expanding to the UK early 2017.

Shimmur — shimmur.com

This may be the app I’m most excited about in this batch. Shimmur is a social network for fans and ‘influencers’ to connect. It’s currently comprised of a lot of Musical.ly stars and their fans, so the demographic is very young.

Instead of having the artist communicating to fans, Shimmur turns it around. Tribes of fans can create comment to which the influencers react. Very appealing and the social competition that may emerge in vying for influencers’ attention may create interesting business models.

There are also some interesting concepts that could be introduced from gaming, like vanity items, rival goods, and quests.

Hope to see someone finally get this right.

Superpowered — superpowered.com

A mobile audio engine that provides low-latency audio for games, VR, and interactive audio apps. It’s apparently already used by DJ app Crossfader, Uber, and a number of games and other apps, together totalling at hundreds of millions of app installs.

Syncspot — syncspot.net

Syncspot uses an “AI assistant to create and fulfil free-gift media rewards for in-store promotions”. Their homepage lists a campaign that reminds me of Landmrk: users get a call to action to go to a certain location on the map (like a store) to receive a reward. Think Pokémon Go.

Weav — weav.io

This startup has been on my radar for a long time. It lets creators make adaptive music that recomposes itself in real-time, based on whatever the user is doing. I’m a firm believer in adaptive music that adapts to the user’s context and believe the way people currently use music to augment their moods shows the opportunity for adaptive audio.

They’ve built a tool for musicians to create this type of music, as well as an SDK for developers, so they can add a player to their apps which is capable of playing this type of media.

Weav

Fun fact: Weav is co-founded by one of the creators of Google Maps.

Best of luck to Techstars & all the startups.

When augmented reality converges with AI and the Internet of Things

Posted on February 20, 2017 | by Bas Grasmayer

The confluence of augmented reality, artificial intelligence, and the Internet of Things is rapidly giving rise to a new digital reality.

Remember when people said mobile was going to take over?

Well, we’re there. Some of the biggest brands in our world are totally mobile: Instagram, Snapchat, Uber. 84% (!) of Facebook’s ad revenue now comes from mobile.

And mobile will, sooner or later, be replaced by augmented reality devices, and it will look nothing like Google Glass.

Why some predictions fail

When viewing trends in technology in isolation, it’s inevitable you end up misunderstanding them. What happens is that we freeze time, take a trend and project the trend’s future into a society that looks almost exactly like today’s society.

Past predictions about the future — Almost.

This drains topics of substance and replaces it with hype. It causes smart people to ignore it, while easily excited entrepreneurs jump on the perceived opportunity with little to no understanding of it. Three of these domains right now are blockchain, messaging bots, and virtual reality, although I count myself lucky to know a lot of brilliant people in these areas, too.

What I’m trying to say is: just because it’s hyped, doesn’t mean it doesn’t deserve your attention. Don’t believe the hype, and dig deeper.

The great convergence

In order to understand the significance of a lot of today’s hype-surrounded topics, you have to link them. Artificial intelligence, smart homes & the ‘Internet of Things’, and augmented reality will all click together seamlessly a decade from now.

And that shift is already well underway.

Artificial intelligence

The first time I heard about AI was as a kid in the 90s. The context: video games. I heard that non-playable characters (NPCs) or ‘bots’ would have scripts that learned from my behaviour, so that they’d get better at defeating me. That seemed amazing, but their behaviour remained predictable.

In recent years, there have been big advances in artificial intelligence. This has a lot to do with the availability of large data sets that can be used to train AI. A connected world is a quantified world and data sets are continuously updated. This is useful for training algorithms that are capable of learning.

This is also what has given rise to the whole chatbot explosion right now. Our user interfaces are changing: instead of doing things ourselves, explicitly, AI can be trained to interpret our requests or even predict and anticipate them.

Conversational interfaces sucked 15 years ago. They came with a booklet. You had to memorize all the voice commands. You had to train the interface to get used to your voice… Why not just use a remote control? Or a mouse & keyboard? But in the future, getting things done by tapping on our screens may look as archaic as it would be to do everything from a command-line interface (think MS-DOS).

XKCD Sudo make me a sandwich — There are certain benefits to command-line interfaces… (xkcd)

So, right now we see all the tech giants diving into conversational interfaces (Google Home, Amazon Alexa, Apple Siri, Facebook Messenger, and Microsoft, err… Tay?) and in many cases opening up APIs to let external developers build apps for them. That’s right: chatbots are APPS that live inside or on top of conversational platforms.

So we get new design disciplines: conversational interfaces, and ‘zero UI’ which refers to voice-based interfaces. Besides developing logical conversation structures, integrating AI, and anticipating users’ actions, a lot of design effort also goes into the personality of these interfaces.

But conversational interfaces are awkward, right? It’s one of the things that made people uncomfortable with Google Glass: issuing voice commands in public. Optimists argued it would become normalized, just like talking to a bluetooth headset. Yet currently only 6% of of people who use voice assistants ever do so in public… But where we’re going, we won’t need voice commands. At least not as many.

The Internet of Things

There are still a lot of security concerns around littering our lives with smart devices: from vending machines in our offices, to refrigerators in our homes, to self-driving cars… But it seems to be an unstoppable march, with Amazon (Alexa) and Google (Home) intensifying the battle for the living room last year:

It's all about the battle for the living room and music is the hook. Sonos in an interesting position for apple / google / Amazon. https://t.co/mQoqyMKlVg

— Stephen O'Reilly (@steoreilly) November 14, 2016

Let’s converge with the trend of artificial intelligence and the advances made in that domain. Instead of having the 2016 version of voice-controlled devices in our homes and work environments, these devices’ software will develop to the point where they get a great feeling of context. Through understanding acoustics, they can gain spacial awareness. If that doesn’t do it, they could use WiFi signals like radar to understand what’s going on. Let’s not forget cameras, too.

Your smart device knows what’s in the fridge before you do, what the weather is before you even wake up, it may even see warning signs about your health before you perceive them yourself (smart toilets are real). And it can use really large data sets to help us with decision-making.

And that’s the big thing: our connected devices are always plugged into the digital layer of our reality, even when we’re not interacting with them. While we may think we’re ‘offline’ when not near our laptops, we have started to look at the world through the lens of our digital realities. We’re acutely aware of the fact that we can photograph things and share them to Instagram or Facebook, even if we haven’t used the apps in the last 24 hours. Similarly, we go places without familiarizing ourselves with the layout of the area, because we know we can just open Google Maps any time. We are online, even when we’re offline.

Your connected home will be excellent at anticipating your desires andbehaviour. It’s in that context that augmented reality will reach maturity.

Augmented reality

You’ve probably already been using AR. For a thorough take on the trend, go read my piece on how augmented reality is overtaking mobile. Two current examples of popular augmented reality apps: Snapchat and Pokémon Go. The latter is a great example of how you can design a virtual interaction layer for the physical world.

So the context in which you have to imagine augmented reality reaching maturity is a world in which our environments are smart and understand our intentions… in some cases predicting them before we even become aware of them.

Our smart environments will interact with our AR device to pull up HUDs when we most need them. So we won’t have to do awkward voice commands, because a lot of the time, it will already be taken care of.

Examples of HUDs in video games — Head-up displays (HUDs) have long been a staple of video games.

This means we don’t actually have to wear computers on our heads. Meaning that the future of augmented reality can come through contact lenses, rather than headsets.

But who actually wants to bother with that, right? What’s the point if you can already do everything you need right now? Perhaps you’re too young to remember, but that’s exactly what people said about mobile phones years ago. Even without contact lenses, all of these trends are underway now.

Augmented reality is an audiovisual medium, so if you want to prepare, spend some time learning about video game design, conversational interfaces, and get used to sticking your head in front of a camera.

There will be so many opportunities emerging on the way there, from experts on privacy and security (even political movements), to designing the experiences, to new personalities… because AR will have its own PewDiePie.

It’s why I just bought a mic and am figuring out a way to add audiovisual content to the mix of what I produce for MUSIC x TECH x FUTURE. Not to be the next PewDiePie, but to be able to embrace mediums that will extend into trends that will shape our digital landscapes for the next 20 years. More on that soon.

And if you’re reading this and you’re in music, then you’re in luck:
People already use music to augment their reality.

More on augmented reality by me on the Synchtank blog:
Projecting Trends: Augmented Reality is Overcoming its Hurdles to Overtake Mobile.