AirPods are shipping, Mario needs the Internet and Myke has a story.
A fun episode of Connected this week with a good variety of topics. You can listen here.
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This year should be the first time that music streaming revenue meaningfully exceeds download revenue. According to Pitchfork:
Going into 2017, streaming will no longer be a niche for music but the new normal. The big question is no longer whether streaming is the future, but what form that future will take, who will benefit, and what that might mean for listeners.
To mark this pivotal moment in the music industry’s history, Pitchfork published a survey on the state of music streaming. The article goes into depth about each of the major players, evaluating the highlights and lowlights of each and considers what the future may hold.
Apple Music gets high marks from Pitchfork for solidifying its number two position behind Spotify through exclusive deals with artists, but it also points to missteps that angered customers and artists this year. As for the future, Pitchfork predicts more exclusives and algorithmic playlists for Apple Music and concludes that:
Apple was too late to streaming to hold anything like the stranglehold iTunes had over downloads (at least, not yet). Instead, Apple Music’s battle with Spotify may be more like the Mac vs. PC debate: a corporate presentation of chic tastefulness versus an ostensibly techier rival.
The on-going battle between Spotify and Apple will be interesting. Spotify has never turned a profit and Apple has the cash to weather a long, drawn-out fight for the hearts and minds of customers. With the bulk of music revenues now coming from streaming, it looks as though 2017 could turn out to be an interesting year for the music industry.
Last month a rash of spam calendar invitations began showing up in iCloud users’ calendars from unknown senders. Benjamin Mayo at 9to5Mac reports that Apple has begun rolling out a ‘Report Junk’ link on iCloud.com to address the situation:
This lets users remove spammy invites from their calendar and reports the sender to Apple for further investigation.
At the moment the fix is available through iCloud.com only. Presumably the feature will be added to a future update to iOS, though it has not made an appearance in the iOS 10.2 betas to date.
If you receive a spam calendar invitation, log into iCloud.com, navigate to the spam invitation, open it, and look for the ‘Report Junk’ link. Clicking that link and confirming that the invitation is junk will remove the event from your calendar and report the sender to Apple. Calendar spam can be reported as junk whether or not you have accepted the invitation first, although it is best to avoid accepting spam invitations because it alerts the senders that the invitation was sent to an active iCloud account.
Adam Rosenberg, writing for Mashable, interviewed Shigeru Miyamoto on the upcoming release of Super Mario Run. According to Miyamoto, Nintendo had to implement an always-on requirement for an Internet connection due to “security” concerns, which he clarified thusly:
Just to be clear: When you say “security,” you mean the risk of piracy, right?
That’s correct.
Unlike our dedicated game devices, the game is not releasing in a limited number of countries. We’re launching in 150 countries and each of those countries has different network environments and things like that. So it was important for us to be able to have it secure for all users.
Miyamoto also argues that two of the game’s three modes rely on an Internet connection, and it was easier to go all-in with the requirement. Nintendo may have their reasons, but I don’t think this will go down well with customers who will pay to play a game that was advertised as ideal for one-handed gameplay on subways, where Internet connections are spotty.
I wouldn’t be surprised if Nintendo reverses the decision, at least for the main mode. If they don’t, it’s still a disappointment.
This week Fraser and Federico dive into Web service API programming in Workflow.
In the latest episode of the Workflow series, Fraser and I turn our attention to the web and what you can do with web services and APIs in Workflow. You can listen here.
If you haven’t listened to the previous episodes of the Workflow series yet, you’ll want to go back and start from there.
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In the latest update released today, Workflow has received support for six new Bear actions. Bear is the note-taking app with power-user features I reviewed in November, which I’m still using.
With the new Workflow actions, you can further automate Bear without writing a single URL scheme yourself. They are quite powerful: you can create new notes in the app, open a specific note in Bear (something Apple Notes can’t do), and even turn a webpage into Markdown and save it as a note in Bear.
My favorite action, though, is ‘Add to Bear Note’, which can take any file or text and append it to an existing note. I have a Scratchpad note in Bear where I keep a little bit of everything, and with this workflow I can quickly pick a file or a photo and send it to the bottom of the note. Great stuff.
Bear actions are available in the latest version of Workflow.
Jordan Kahn of Electrek reports on the latest improvement to Apple Maps:
Apple has been slowly adding more electric charging station listings to Apple Maps since the release of iOS 10, and today the world’s largest EV charging network, ChargePoint, officially confirmed integration.
The official integration not only means that ChargePoint’s network of charging stations will now be visible as EV Charger badges within Apple Maps, allowing users to tap through to get more info on the station, but users can also initiate charging and complete payment from a link in Apple Maps to the ChargePoint app (Apple Pay included).
Ever since Apple first set out to create its own mapping solution, and found it more difficult than expected, it has aggressively pursued various partnerships to expand the breadth and veracity of its mapping data. Those partnerships have seemed to slow down of late, likely because Maps has less improving to do today than it did shortly following its 2012 launch.
Having spent several years building partnerships to ensure its data won’t lead any drivers astray, Apple has more recently been able to focus on integrating data that’s less important, but still quite useful. A few months ago we saw the company team up with Parkopedia to improve parking data, and now charging stations are a natural next step.
Dave Gershgorn, writing for Quartz, published the details of an invitation-only lunch at the NIPS 2016 conference, where Apple’s newly appointed director of AI research, Russ Salakhutdinov, elaborated on the state of AI and machine learning at Apple.
There are lots of interesting tidbits on what Apple is doing, but this part about image processing and GPUs caught my attention:
A bragging point for Apple was the efficiency of its algorithms on graphics processing units, or GPUs, the hardware commonly used in servers to speed processing in deep learning. One slide claimed that Apple’s image recognition algorithm could process twice as many photos per second as Google’s (pdf), or 3,000 images per second versus Google’s 1,500 per second, using roughly one third of the GPUs. The comparison was made against algorithms running on Amazon Web Services, a standard in cloud computing.
While other companies are beginning to rely on specialty chips to speed their AI efforts, like Google’s Tensor Processing Unit and Microsoft’s FPGAs, it’s interesting to note that Apple is relying on standard GPUs. It’s not known, however, whether the company builds its own, custom GPUs to match its custom consumer hardware, or buys from a larger manufacturer like Nvidia, which sells to so many internet companies it has been described as “selling shovels to the machine learning gold rush.”
In my review of iOS 10, I wondered4 how Apple was training its image recognition feature in the Photos app, citing the popular ImageNet database as a possible candidate. We have an answer to that today:
The images Apple uses to train its neural network on how to recognize images also seems to be proprietary, and is nearly twice the size of the standard ImageNet database.
According to Salakhutdinov, Apple will also be more open about their research and they will actively participate in the academic community.
Douglas Queneua of Campaign US has put together an extensive oral history of Apple’s famous “Get a Mac” ad campaign. Written in two parts, the history is told by actors Justin Long (Mac) and John Hodgman (PC), as well as many of the creative minds that birthed the campaign.
In September 2005, Steve Jobs gave his advertising agency, TBWA\Chiat\Day, an assignment: Come up with a campaign that clearly demonstrates the Mac’s superiority to the PC. There was no deadline.
Seven months, dozens of tense meetings and countless discarded ideas later, the agency produced “Get a Mac.” It would go on to become one of the most succesful and admired ad campaigns in Apple’s history, no small feat when “1984,” “Think Different” and “Silhouette” are the competition. Among those legendary ads, “Get a Mac” stands out as the most overtly comedic and one of the most expansive: The team shot 323 spots over three years just to get the 66 that made it on air.
To mark the 10-year anniversary, Campaign US asked members of the creative team, the crew and the actors to share the untold stories of how the campaign came to life. What follows is their recollections—inconsistencies, errors, biases and all—lightly edited and condensed for clarity.
There are plenty of great stories shared here from a memorable campaign.
One of my favorite tidbits from the article is that Justin Long initially assumed he would be playing the PC role, because up until then he had been playing primarily nerdy parts. “Nerdy parts,” he says, “suited my natural personality.”
