The Device is the Boring Bit

The Apple Vision Pro is now on sale. People are getting their hands on them, and sharing their opinions. People who haven't got their hands on them are sharing their opinions. There are a lot of opinions flying around.

First thing - sure, I'm interested in the headset, and the device actually getting in 'normal' people's hands (or on their faces) is this week's news; I'm not going to buy one, because it's ridiculously expensive and if I had that sort of money to throw around, I probably wouldn't be driving a car that's approaching either its 18th birthday or its last trip to the scrapyard and has done the equivalent milage of 5 times around the circumference of the earth.


But what I'm really interested in is the Vision platform; the bits in the software that are going to be the same when the next headset device is launched. And once there are a bunch of different ‘Vision’ devices - where they will fit, in the spaces in people's lives.

Who owns Taylor Swift's voice?

Ben Evans on Threads;

It's a lot easier to understand the IP issues in 'give me this song but in Taylor Swift's voice' than 'make me a song in the style of the top ten hits of the last decade.' If a human did that, they wouldn't necessarily have to pay anyone, so why would an LLM?

There's an interesting twist with the "Taylor Swift's voice" example; Scooter Braun owns all of Taylor Swift's recordings (at least, I think all the ones released before any ChatGPT-era training dataset were compiled) - he bought the record company, so he owns the master recordings (and all the copies of the master recordings, and the rights relating to them) - but not the songs themselves. Taylor Swift still owns them - which is why she can make her "Taylor's Version" re-recordings (which Scooter Braun doesn't get a penny out of.)

So there's a key difference here; a human would copy the songs (that is, they would be working off the version of the songs that are in their heads - the idea of the songs), so Swift would get paid as the owner of the songs.

But the kind of generative AI we're talking about would be copying 100% from the recordings (ie. the training data would be the sounds, digitised and converted into a stream of numbers) - which Swift doesn't own. The AI doesn't "see" the idea of the songs - it wouldn’t “know” what the lyrics were, what key the songs were in, what chords were being played on what instrument - any more than a Large Language Model “knows” what the words in its (tokenised) training dataset or output mean.

She still owns her songs, but she’s sold her voice.

(Pre) WWDC 2023

WWDC usually isn’t one to look forward to - unless you’re the sort of person who cares about things like Xcode features - because it isn’t the venue where they talk about the new iPhones. Maybe there will be clues about new iPhone features in some new APIs or something, but the focus is generally on developers.

This year is different…

Robot War part 3: The Race

This is the tech war of the moment; a race to be the first to develop an AI/Machine Learning/Deep Learning product that will be a commercial success. Google have a head start - Microsoft+OpenAI look like they could be set to catch up, and maybe even overtake Google. But if this is a race then where is the finish line? What is the ultimate goal? Is it all about the $175 billion Search advertising market - or is it bigger than that?

The Next Big Thing (2023)

Nine years ago (Jan 2014), I wrote a post about "the next big thing". I think its fair to say that in a history of technological innovations and revolutions, there isn't really much in the last decade or so that would warrant much more than a footnote; the theme has been 'evolution, not revolution'.

Well, I think the Next Big Thing is - finally - here. And it isn't a thing consumers will go out and buy. Its an abstract, intangible thing; software not hardware, service not product.

For the first time in years, tech has got genuinely interesting again.

The Metaverse is an Elephant

One reason the Metaverse is doomed is because of the idea that it will straddle all of the different computing platforms; too many conflicting business interests will make this impossible to execute.

One reason the Metaverse will succeed is because of the idea that when something, sooner or later, straddle all of the computing platforms, it will deliver something incredibly useful.

Rise of the machines (Robot war part 2)

Two narratives, one story;

  1. An AI developed by Google has developed sentience - the ability to have its own thoughts and feelings, and a Google engineer working with it has been fired for making the story public.

  2. A Google engineer thinks a 'chatbot' AI should be treated like a human, because he believes that it has developed the ability to have and express its own thoughts and feelings. After Google looked into and dismissed his claims, the engineer went public with them, and was then placed on paid administrative leave and subsequently fired.

The subject of the first story is artificial intelligence - with a juicy ethical human subplot about a whistleblower getting (unfairly?) punished.

The subject of the second story (which is a little more nuanced) is a human engineer going rogue, with an interesting subplot about ethics around artificial intelligence.

I think most of the reporting has been around the first version of the story- and I think thats because it fits into a broader ongoing narrative; the idea that 'our' machines are getting smarter - moving towards a point where they are so smart that humans can be replaced.

Its a narrative that stretches back for centuries - at least as far back as the industrial revolution.

How might 'Metaverse Identities' work- and what's in it for Meta?

If “moving seamlessly between virtual spaces” is a key feature of the metaverse, how might that actually work with virtual identities on a decentralised platform? (And why would Mark Zuckeberg, who holds a bigger centralised database of virtual identities than anyone, want that to happen?)