Tag Archives: music

Will artificial intelligence replace writers and musicians?

Reading Time: 2 minutes

According to a report by Ericsson Connected Intelligent Machines, 20% of consumers prefer AI-driven content to human-made content. The results show that the creative race between people and machines is currently underway. However, it is too early to announce the winners, because still, every fifth respondent prefers content created in a traditional way.

Consumers predict that mass media will be increasingly influenced by automation by 2030. In fact, the future may be closer than we think. Today, even the most basic AI language generators are proving to be good enough content creators on social media platforms.

The future of content creation may lie in human-machine collaboration. One interesting area where this is already happening at the mass market level is in science fiction literature. Famed Chinese SF author Chen Qiufan, competing with writers such as Nobel Prize winner Mo Yan, recently won a literary competition in Shanghai with his short story “The State of Trance” which featured AI-generated passages.

Will Artificial Intelligence reach the film or music area?

A report from Ericsson found that consumers consider film and music to be the domain of human creativity. Six in ten respondents say they would prefer human film producers to AI counterparts. However, most of this group of respondents are apparently unaware that AI is already being used in the film industry to support human decision-making.

Currently, consumers are still more likely to choose humans as music makers, 65% of respondents believe. However, the Connected Intelligent Machines report also found that six in 10 of us believe that “artificial musicians” will be able to surpass humans on the charts by 2030.

Source:
https://bit.ly/3rYuELe – Photo 1
https://bit.ly/2PH1mDV – Ericsson’s report

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Mischievous AI judges your taste in music

Reading Time: 3 minutes

Do you want to know how terrible your taste in music is to end an already terrible year? Look no further than the “How Bad Is Your Spotify” project on Pudding.cool, that will ridicule your taste in music, in a good way of course.

If you’re a Spotify user you probably got your Spotify Wrapped earlier this month which nicely summed up your music taste for this year. The Pudding’s new AI tool is nothing like that. Besides analyzing your listening history, it interacts with the user in a playful manner.

The app uses artificial intelligence which was trained by by Matt Daniels and Mike Lacher for The Pudding.

Once users visit the website they are asked to grant access to their Spotify to let the “sophisticated A.I” judge their “bad taste in music”.

The bot explains that it has “been trained on a corpus of over two million indicators of objectively good music, including Pitchfork reviews, record store recommendations, and subreddits you’ve never heard of,” when you click on “how do you know what’s good?”

The quiz takes users through a series of amusing questions making you feel like you’re chatting with a passive-aggressive snarky friend. It said things such as: “lol… omg… okay hold up… Do you really listen to [artist name]…?”

After the A.I is done mocking your musical taste with its questions, it analyses your answers and tells you how “bad” your Spotify is.

The AI bot gives a rundown of tracks the users listen to “too much,” artists they listen to “to an uncomfortable extent,” rates how “basic” your musical taste is and highlights the decade you’re “stuck” in.

Mike Lacher, one of the brains behind the witty bot says,”We wanted to make something similar to Spotify Wrapped, but instead of celebrating your music, it would insult it. For us personally, we knew that the stuff we stream privately is often embarrassing, so we thought it would be funny to make a bot that would look through all that stuff and judge you. We wanted it to feel like a judgemental friend, or a snobby record store clerk.”

Many, after using the app, went on social media to share their results. One twitter user commented “the accuracy of the how bad is your Spotify thing is terrifying.” Another user said “I tried the “how bad is your Spotify playlist” AI and I am too embarrassed to share the results…”

It’s all fun and games but it’s important to realize that artificial intelligence and the music industry are incredibly linked together.  The fact that they can store an incredible amount of information for comparison and analyze human taste on a platform like Spotify can open a new era for the music industry.

Go check out “How bad is your Spotify?” on pudding.cool !

References:

https://pudding.cool/2020/12/judge-my-spotify/

https://www.musictech.net/news/how-bad-is-your-spotify/

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Spotify’s Tastebuds tool will enhance your social music discovery

Reading Time: 3 minutesThe new function aimed at Spotify will allow us to slightly broaden our musical tastes. All thanks to our friends from the platform.

New Spotify’s feature logo
Source: https://techcrunch.com/2019/12/18/spotify-tastebuds/

 

How music sharing options look like now?

Thinking about what Spotify can offer today, we can mention social media integration. It is a popular feature that enables users to connect their Spotify accounts to their Facebook and Twitter profiles. That lets them access their friends’ favorite music and playlists and share their choices with others as well. Individuals can create, share, and edit playlists with other listeners. If users want recommendations, they can integrate their system with Last.fm, an application that provides music recommendations based on listening history. However, this is an external application that does not belong to Spotify. You can also view a Friend Activity ticker of songs your Facebook friends are currently listening to on the desktop app. You can search for specific users and follow them or view playlists they’ve made public too. Spotify doesn’t promote user search much anyway.

 

Why Spotify need a change?

Sharing playlists on Spotify is not a problem, but when it comes to speeding up the entire algorithm, things get complicated quickly. If we listen to music in a random way, it is known that Spotify will not start sending us recommendations based on it. If that were the case, playlists created using algorithms would not suit certain user’s tastes. Social sharing has never been the main priority for Spotify. The Activity Feed, which shows what your friends are currently listening to, is limited to the desktop version of Spotify. The in-app messenger for sharing music was nixed in favor of letting users share songs on social media or on their Instagram Stories. Apparently, that was a mistake as far as we know that Tastebuds is coming.

Tastebuds feature on Spotify
Source: https://techcrunch.com/2019/12/18/spotify-tastebuds/

 

But what will Tastebuds really give us?

As the information on the site is telling: Tastebuds will let your friends discover music that you trust. This description appears in the tab that has not yet been launched, but the developers have already sewn it in the application – in the left column, next to the Home Page, Browse and Radio. The prototype feature was discovered in the web version of Spotify by reverse engineering sorceress Jane Manchun Wong. She gave some more details on how it works. By tapping on the pen icon, users can view information about what their friends have been playing most. Then, they can easily listen along or add songs to their own library.

Tastebuds feature discovered in the web version of Spotify thanks to reverse engineering
Source: https://techcrunch.com/2019/12/18/spotify-tastebuds/

Spotify Tastebuds code
Source: https://techcrunch.com/2019/12/18/spotify-tastebuds/

 

It remains to wait for deployment

When will the new feature come into effect? There is no official information about it. A Spotify spokesperson confirms that they are always testing new products and experiences, but have no further news to share with the audience. For now, anyone can access a non-functioning landing page for the feature at https://open.spotify.com/tastebuds. Tastebuds could be a rebranded version of the Friends Weekly playlist that was discovered in May 2019. Whatever it may be, the test could be a sign of more social listening features to come.

Social is a huge but under-tapped opportunity for Spotify. Social recommendations could get users listening to Spotify for longer. While competitors like Apple Music or YouTube might offer similar music catalogs, users won’t stray from Spotify if they become addicted to social discovery through Tastebuds.

Do you think Tastebuds is just what Spotify needs? Maybe something else would make the application more user-friendly? Share your opinion.

 

References:

[1] https://www.crunchbase.com/organization/spotify#section-overview

[2] https://rms.pl/aktualnosci/sprzet/3239-spotify-tastebuds

[3] https://www.spidersweb.pl/2019/12/spotify-tasetbuds-czego-sluchaja-znajomi.html

[4] https://www.theverge.com/2019/12/18/21028474/spotify-tastebuds-playlist-friends-music-discovery-social-sharing-feature

[5] https://techcrunch.com/2019/12/18/spotify-tastebuds/

[6] https://www.engadget.com/2019/12/19/spotify-social-music-discovery-tastebuds/

[7] https://www.theverge.com/2018/5/9/17337182/spotify-testing-new-friends-weekly-playlist

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Artificial Intelligence will help you learn. And relax.

Reading Time: 2 minutesArtificial Intelligence is a growing trend in technology. Most of us are aware of the fact that its importance is steadily increasing. Some people say AI is, in fact, the most important topic for our future. 

Looks like we should start getting used to it and finding a place for AI in our lives. Of course, it is widely used in business already, Accenture calls AI ‘fuel for growth’.  However, what I wanted to talk about is a solution that can help you learn, relax or fight insomnia thanks to Artificial Intelligence.

Brain.fm is a service offering AI-composed music that will help you trigger specific cognitive states. This includes deep focus, relaxation, and sleep. Music is obviously powerful and we know that. That’s a rule all movie soundtracks are based on. But Brain.fm goes even further. The product has a lot of scientific research behind. Starting with how neuronal oscillations control cognitive processes to showing how music entrains neuronal oscillations.

There are plenty of researchers from various universities behind Brain.fm. There are even experiments ran to measure effects of the AI-composed music on cognition. Measures included Reaction Time (RT), Go-No Go (GNG), Visual Pattern Recognition (VPR) and EEG. Detailed results are presented here, but well, you probably guessed them already ;).

What’s interesting, even athletes use Brain.fm. It lets them focus and then relax and meditate. For athletes, especially those from Olympic teams, the pressure is huge. Psychological aspects of sports are as important as physical ones. It’s not something new that during finals of the most important championships, mind is equally important as body and only people who have nerves of steel will win. Robby Smith is the US Olympic wrestling team captain and he was using Brain.fm during Rio preparations. This is a great example of balanced preparations and another use of AI.

The solution sounds brilliant, doesn’t it? What’s worrisome a little is the legal info. If the AI-composed music so beneficial to us, why do have to be so careful about it? If it might be dangerous to epileptics, pregnant women, people wearing a pacemaker of ones who drank alcohol and took medications, then how can we be sure it’s safe to the rest of us? Isn’t it just too misterious, with no explanation following the legal info?

 

brain.fm

Source: Brain.fm

For sure, the solution is brilliant and can help many people who can’t focus or sleep. Knowing the reality of today’s and huge problems people have with focus, seems like the demand will be only growing. But can we really trust Brain.fm? I’m sure we’ll find out about it soon!

 

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