Simone Silvestroni om selv at udgive og promovere sin musik
Simone Silvestroni (Minutes to Midnight) har skrevet et par blogposter om det at udgive et musikalbum på egen hånd tilbage i 2019. I del 2 forholder han sig til det at promovere sin musik online.
Jeg bider især mærke i hans kommentarer angående straming:
Despite my lack of love towards the streaming industry, I didn’t want to discard the idea because of my bias. In retrospect, I should have.
Something that truly bothered me was the fact that Spotify completed the commodification of music in a way that I couldn’t stand. Everyone kept repeating how good of a marketing tool for musicians it was. I could never see that. Spotify don’t tell you who your fans are, don’t allow fans to get in touch with you and surely isn’t interested in making indie music profitable.
Men også følgende om sociale medier er interessant:
In August 2020 I deleted my account on Twitter, Facebook, Instagram, Reddit, cutting off usage and interactions on Spotify.
I think I might have actively promoted my music on Mastodon twice in a year, and yet the amount of feedback, comments, reviews, genuine interest and actual sales I got eclipsed the previous social networks combined. This time it was out of true interest, so I really appreciated it.
I was promised cool artificial intelligence, but all I got was lousy marketing
I rarely use Skype for anything. But I keep it running in the background, as it serves as a backup channel of communication with my Ukrainian colleagues, in case there are problems with Slack.
This morning when I turned on my computer, I had a notification from Skype about unread messages. Not from a colleague, but from Bing. Who apparently sent me 5 messages.
My first reaction was shaking my head. It's a typical Microsoft move to forcefully stuff one product into the other. But I also quickly got the suspicion that this was about their new AI based Bing chatbot. Which indeed turned out to be the case.
The chatbot gave me a brief introduction to the wonders it had to offer and asked me how it could help me today.
I decided to partly play their game, and asked it nicely to just leave me alone. When pressing Enter to send my message, I wasn't able to. Instead I was presented with a popup offering me to join a waitlist to "receive emails from Microsoft Bing, which will include offers about Microsoft Rewards, and partner products."
What a completely shitty user experience:
- Forcing an AI-powered Bing chatbot into my Skype conversations.
- Presenting itself as service I can utilise today.
- When I try interacting with it, it turns out it can't help me today.
- Instead it's all just an attempt at luring me into joining an advertising mailing list.
Boo, Microsoft! Fake door testing, riding on top of the dreadful AI hype wave, without actually providing me any of that promised AI.
The top 10 jobs that AI and ChatGPT will most likely replace
I've spend the last few weeks reading through several scientific papers, world class research on the matter, and I can now with confidence conclude that the following professions are most likely to be replaced by ChatGPT and AI in general in the future.
In order of significance:
- Sausage Factory Worker
- Cheese Rind Collector
- Speed Skater
- Sausage Factory Worker
- NFT Startup Founder
Evidence of this can be found in the most respected journals.
Om massefyringer hos Google
Google har netop fyret 12.000 af deres ansatte. Andy Walker, der har arbejdet en del år hos dem, deler sine tanker om det hele. Og han har mange fine pointer:
[The Dodge vs Ford Motor Company (1919)] ruling stands at the heart of the current situations being faced by companies like Google today. There are institional investors with the means to take them to court and these investors see Google as a company that is wasteful that they can extract more value from. I do not envy the people trying to navigate this. At its heart this is a problem about unrestrained capitalism.
When Google went public, Larry Page and Sergey Brin were aware of the risks posed by public ownership and went to a lot of effort to ensure they could maintain control over the company. They even attempted to set expectations as to how they wanted the company to operate in their Founders’ Letter to investors.
Der er sandsynligvis flere fyringer på vej, efter pres fra en hedgefond der er aktionær i virksomheden.
The way the company has gone about it, too, leaves a bad taste in the mouth. Finding out that you no longer have a job because you can’t log in any more (sometimes in cases where someone is on call for protecting your production systems) is no way to fire anyone. That’s like being in an abusive relationship with some kind of narcissistic sociopath.
Google’s leadership have done a stupid thing — mass firing — in stupid way. The problem they’re trying to solve is "how do we get rid of enough people to make investors happier?" and the outcome is "have 6% less people". Behaving like Elon Musk isn’t the sort of thing any empathetic leadership group should aspire to.
At the senior echelons of the company there aren’t enough VP jobs to go around for a group of highly motivated, ambitious and (increasingly) ruthless people. I’ve loitered around the edges of this world and a large part of my value was to insulate my teams from ever having to experience it.
Råmateriale til AI'er indsamles under stærkt kritisable forhold
Indenfor forbrugerelektronik er et af de store problemer som de fleste af os vælger at se bort fra, hvordan nogle af de sjældne mineraler og metaller der skal til for at fremstille dimserne er gravet ud i miner under kummerlige, nærmest slaveagtige forhold for arbejderne.
For tiden er går den ene nye model efter den anden indenfor kunstig intelligens (AI) sin sejrsgang. Den næste mere imponerende end den forrige indenfor sit felt. Men til trods for de flotte resultater, er der også masser af problemer med disse AI'er: Det viser sig at de er racistiske og homofobiske eller ganske enkelt ikke aner hvad de taler om, hvis man graver lidt dybere i værdien og sandheden af deres output.
I forsøget på at løse problemerne, har man skabt sig et nyt – og mindst lige så stort – problem, der minder om problemet fra produktionen af elektronik: Fremskaffelsen af det råmateriale som AI'erne er baseret på, sker via underbetalt arbejdskraft der – under pressede forhold – bliver eksponeret for stærkt traumatiserende tekst og billeder.
Three employees told TIME they were expected to read and label between 150 and 250 passages of text per nine-hour shift. Those snippets could range from around 100 words to well over 1,000. All of the four employees interviewed by TIME described being mentally scarred by the work.
Sama began pilot work for a separate project for OpenAI: collecting sexual and violent images—some of them illegal under U.S. law—to deliver to OpenAI.
Sama delivered OpenAI a sample batch of 1,400 images. Some of those images were categorized as “C4”—OpenAI’s internal label denoting child sexual abuse—according to the document. Also included in the batch were “C3” images (including bestiality, rape, and sexual slavery,) and “V3” images depicting graphic detail of death, violence or serious physical injury, according to the billing document.
But the need for humans to label data for AI systems remains, at least for now. “They’re impressive, but ChatGPT and other generative models are not magic – they rely on massive supply chains of human labor and scraped data, much of which is unattributed and used without consent,” Andrew Strait, an AI ethicist, recently wrote on Twitter. “These are serious, foundational problems that I do not see OpenAI addressing.”
Læs hele den foruroligende historie hos Time.