Tag Archives: music

Shifting Priorities: Addressing the Problems with Staff at Spotify

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40+ Spotify Statistics: Users, Revenue, Market Share (2023)

In recent times, Spotify, the popular music streaming platform, has faced significant challenges with its staff. The company’s CEO, Daniel Ek, made the decision to implement mass layoffs, citing the need for a more impactful and efficient workforce. This move was met with mixed reactions from both the employees and the general public. One of the notable departures was that of CFO Paul Vogel, who sold $9 million in shares after the cuts were announced. This raised eyebrows and led to speculation about the motivations behind the layoffs. Vogel’s inclusion among those exiting the company fueled further scrutiny and fueled rumors of internal conflicts within Spotify’s management team. Despite the layoffs, Spotify has seen significant success in recent years. The company’s stock rose by a staggering 130% and it gained 85 million new users in 2023 alone. However, these positive figures were overshadowed by the fact that approximately 25% of the staff were affected by the layoffs. This resulted in a substantial number of people losing their jobs, leaving them unemployed and uncertain about their future. As a historically unprofitable company, Spotify has attributed its financial struggles to various factors, including the high expenses associated with a hiring surge and investments in podcasts. CEO Daniel Ek openly acknowledged the need to address the company’s flawed cost structure and emphasized the importance of cost reduction as a necessity.

Spotify: number of employees 2022 | Statista

In response to the layoffs, analysts have predicted potential profit growth for Spotify. The expectation is that the cost cuts will lead to a 10% increase in the company’s stock value after the announcement. While this may seem promising for the shareholders, it does little to alleviate the concerns of the affected employees and the negative consequences of the layoffs. Moreover, the cost-cutting measures at Spotify have also had a detrimental impact on the company’s content offerings. Several notable podcasts were canceled as a result of the layoffs, leaving avid listeners disappointed and questioning the direction of the platform. This trend indicates a shift in Spotify’s trajectory, moving away from ambitious ventures and more towards cost-cutting measures, price hikes, and even possible exits from unprofitable markets. It is clear that Spotify’s decision to implement mass layoffs has created a significant wave of dissatisfaction within the company and among its users. What was once seen as an idealistic platform for streaming music has now given way to the pragmatism of managing a publicly traded business. The pressures to trim costs and increase profitability appear to have taken precedence over the well-being and job security of the staff. The challenges faced by Spotify’s staff are representative of a larger issue within the corporate world – the prioritization of profit over people. While cost cuts and streamlining operations may be necessary for a company’s financial health, it is imperative that the well-being and livelihoods of the employees are not compromised in the process. In conclusion, the problems with staff at Spotify are indicative of the overarching challenges faced by many companies in today’s corporate landscape. As the company navigates its way towards profitability, it must do so with empathy and sensitivity towards its employees. Finding a balance between cost-cutting measures and maintaining a healthy and motivated workforce is paramount for long-term success. Only time will tell if Spotify can find this delicate equilibrium and regain the trust and loyalty of its staff and users alike.

Sources:

Spotify: number of employees 2022 | Statista

How Spotify won its streaming war but lost a quarter of its staff (ft.com)

https://app.simplified.com/

Spotify lays off 17 percent of workforce in latest round of job cuts – The Verge

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NFTs in Music: Transforming the Music Industry.

Reading Time: 4 minutes

A music NFT is a distinct digital asset that is issued on a blockchain and is linked to an individual song, EP, album, or video clip.

Non-fungible tokens (NFTs) have been making waves in the art world, with generative art collections becoming increasingly popular among Web3 enthusiasts and in the traditional art world. However, NFTs as immutable records of ownership for digital items have many more use cases.

While the music industry’s global revenue is expected to surpass $65B in 2023, these earnings predominantly flow into a few large platforms and major record labels. As a result, many artists have started exploring the use of NFTs as a new way of distributing and monetizing music. 

Music NFTs have the potential to revolutionize the way artists create, distribute, and earn income from their music. In contrast to the current model, where artists have to rely on record contracts, brand deals, and extensive touring to advance their careers, music NFTs present artists with the opportunity to generate income solely based on their primary focus—creating music.

In this post, we’ll look at what music NFTs are and how they work and examine how this technology can transform the music industry through improved economics and more immediate fan-artist relationships.

What Is a Music NFT?

First, a quick primer on NFTs. An NFT is a token on a blockchain that is unique. Each NFT has a unique token ID and contract address that sets it apart from other NFTs. While an NFT can be linked to any media, what’s typically associated as the “content” of an NFT is stored in its metadata, which can point to images, videos, music, or other forms of media.

In a nutshell, a music NFT is a distinct digital asset that is issued on a blockchain and is linked to an individual song, EP, album, or video clip. Artists can create unique digital assets as NFTs that represent their music, concert tickets, exclusive merchandise, or virtual experiences, which people can then own, use, or trade. Purchasing a music NFT can be seen as a way of supporting an artist—akin to buying their music directly—while still allowing others to enjoy their work.

Music NFTs enable artists to forge a more direct relationship with their collector community. By helping to circumvent larger platforms, music NFTs give artists the chance to build a more direct connection with their fan base, who can also benefit from new ways of interaction and ownership.

Some music NFTs are generated entirely by an on-chain algorithm with no external dependencies. Generative music posted on-chain empowers artists to create a permanent imprint on an immutable ledger and preserve their creation for future generations exactly as originally intended.

How Do Music NFTs Work?

In essence, music NFTs help shift the ownership of music from companies to individuals. While record labels continue to play an important role in the music industry and can serve several business functions for artists, music NFTs allow artists the option to maintain full ownership of their creations.

Some music NFTs include revenue and royalty-sharing features that can provide a source of income for artists without them having to rely solely on earnings from streaming services, building a large following, or engaging in excessive marketing. Instead, they can rely on a smaller group of highly dedicated fans.

As such, music NFTs can help emerging artists who may not have access to traditional funding or distribution channels. With the rise of Web3 platforms and marketplaces, musicians can independently create and sell their NFTs, giving them greater control over their careers and revenue streams.

Another important benefit is the ability to create token-gated communities that enable fans to participate in exclusive events and promotions, opening up secondary markets for fandom that alter the dynamics of being a fan and enable more integrated fan communities.

How Will Music NFTs Impact the Music Industry?

$0.004 Per Stream Vs. $40 Per Mint

Since the onset of streaming, opportunities for musicians to earn an income have significantly decreased. NFTs turn pieces of music into a commodity, like a piece of art that can be bought and sold, similar to the earlier days of the music industry with vinyl records, cassette tapes, CDs, and MP3s.

Currently, many artists find it difficult to see significant returns on streaming platforms. According to some estimates, one stream on Spotify amounts to about $0.004 paid to the artist, meaning that one million streams net roughly $4000. Getting that many streams isn’t realistic for most independent artists. It’s important to note that the issue here isn’t necessarily with individual companies but more with the underlying economic model. Offering the ability to stream a large portion of the music library of human history for the equivalent of ~$10 a month creates thin margins both for the platforms and the creators, and is likely leading to a race to the bottom.

Real life examples:

  1. Kings of Leon’s NFT Album Release:
    • In March 2021, the American rock band Kings of Leon became one of the first major musical acts to release their album as an NFT. The album, titled “When You See Yourself,” was made available for purchase as three types of NFTs, each offering different perks such as exclusive audiovisual art and a “golden ticket” for VIP concert experiences.
  2. 3LAU’s Ultraviolet NFT Album:
    • Electronic dance music (EDM) artist 3LAU (Justin Blau) released his album “Ultraviolet” as an NFT in February 2021. The NFTs included special edition music and unique experiences, allowing fans to have a more immersive and exclusive connection to the artist.
  3. Beeple’s Collaborations with Musicians:
    • Digital artist Beeple (Mike Winkelmann) has collaborated with various musicians to create NFT-based visual experiences. Notably, his collaboration with EDM artist Deadmau5 resulted in the creation of unique audiovisual NFTs that represented a fusion of music and visual art.
  4. Grimes’ NFT Art and Music Auction:
    • Canadian musician Grimes, known for her experimental music and visual art, auctioned digital art and unreleased music as NFTs. The auction included exclusive pieces of art and audio content, providing fans with a chance to own unique and limited digital assets.
  5. Steve Aoki’s NFT Journey:
    • Renowned DJ and producer Steve Aoki has embraced NFTs as a way to engage with his fan base. He has released NFTs featuring exclusive music, behind-the-scenes content, and virtual experiences. Aoki has also experimented with interactive NFTs, allowing fans to participate in challenges and unlock additional content.

My opinion:

While the potential for NFTs to revolutionize the music industry is evident, it’s crucial to acknowledge the inherent challenges. The tokenization of music rights through NFTs, may introduce complexities in terms of legal frameworks and the fair distribution of revenues.

Additionally, concerns about market volatility and environmental impact raise questions about the long-term sustainability of this trend. While blockchain technology offers direct artist-fan connections, it’s essential to carefully navigate the evolving landscape, considering both the promises and pitfalls of integrating NFTs into the music ecosystem. So, to be honest I’m not a fan of this happening.

Sources:

ChatGpt – version 3.5 ( https://chat.openai.com/share/1086341a-c645-46a5-86e3-9f6049e21891 )

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The Beatles used AI for their new song «Now and Then»

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The Beatles are one of the most iconic bands in the history of music. Their music has been enjoyed by millions of people around the world for decades. Recently, a new song called “Now and Then” has been released, which features all four members of the band. What makes this song unique is that it was created using AI technology. The song was written and sung by John Lennon in the late 1970s, and it was completed by Paul McCartney, Ringo Starr, and George Harrison using AI-assisted software developed for Peter Jackson’s documentary “Get Back”. 

Short film is here!

Main part:

The technology was used to help separate Lennon’s original vocals from the piano music that backed it. McCartney and Ringo Starr recorded the backing instruments, with existing recordings of the late Harrison woven in. The song was released on November 2, 2023, and is dubbed as “the last Beatles song”. The song appeared on a double A-side single, paired with a new stereo remix of the band’s first single, “Love Me Do” (1962), with the two serving as “bookends” to the band’s history.

AI has been used before to restore The Beatles’ music. In the 2021 Peter Jackson-directed documentary series “Get Back,” AI was used to recognize The Beatles’ voices and separate them from background noise. However, archiving recordings of famous singers has been a practice long before AI or computers. Paris Smaragdis, a professor at the University of Illinois Urbana-Champaign who consulted on AI software used by The Beatles, gives the example of audio engineers who, in the early 20th century, worked on recovering the recording of Italian opera singer Enrico Caruso in order to extract his voice and use it with a live orchestra.The use of AI technology is not limited to restoring recordings. It can also be used to autotune the voice to adjust the pitch or replace the real voice with a synthetic one. However, the latter method raises concerns that the technology will replace real musicians. Technology and music have a close relationship, and music has always been about taking new stuff and incorporating it to expand its horizons. Musical instruments like the piano or the flute are examples of how technology has been used to create new sounds 2. In that sense, music created by or enhanced with new technology is a natural step and perfectly in line with what we expect.

Conclusion:

In conclusion, “Now and Then” is a remarkable achievement that showcases the power of AI technology in music production and how it can make possible to expand horizons and opportunities in different industries, help to develop and restore them, as in this case, the hole history of a legendary group was renovated! Once again this shows that intelligence must be developed as its possibilities are limitless. The song is a beautiful tribute to the legacy of The Beatles and a testament to their enduring popularity. It is a must-listen for fans of the band and anyone who appreciates great music 🙂

Sources: 1. Bing

2. Article: https://qz.com/new-beatles-song-now-and-then-ai-john-lennon-1850981701

3. Image: https://www.google.com/url?sa=i&url=https%3A%2F%2Fwww.gram.pl%2Fnews%2Fthe-beatles-ostatni-utwor-legendarnego-zespolu-z-liverpoolu-juz-dostepny&psig=AOvVaw0fUafeHqoB73SDYL3ivflr&ust=1700606783998000&source=images&cd=vfe&opi=89978449&ved=0CBMQjhxqFwoTCKDd5IvU04IDFQAAAAAdAAAAABAJ

4. https://www.billboard.com/lists/ways-ai-has-changed-music-industry-artificial-intelligence/

5. https://www.shaip.com/blog/training-data-for-music-ml-models/

6. https://www.mi.edu/in-the-know/ai-music-production-enhancing-human-creativity-replacing/

7. https://primesound.org/ai-in-music/

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YouTube Music Now Lets You Create Custom AI-Generated Playlist Art

Reading Time: 3 minutes

YouTube Music, the popular music streaming platform, has recently announced an exciting new feature that allows users to create custom playlist art using AI-generated designs. This groundbreaking development brings a whole new level of personalization and creativity to the music listening experience. In this article, we will explore how this feature works, its potential impact on user engagement, and the implications it may have for the future of music streaming.

The Power of AI-Generated Playlist Art
YouTube Music’s AI-generated playlist art feature leverages machine learning algorithms to analyze the content and mood of a playlist and create visually appealing and relevant artwork. Using a combination of deep learning and image recognition techniques, the AI system identifies key elements of the music, such as genre, tempo, and lyrics, and translates them into unique visual representations.

Unleashing Creativity and Personalization
This new feature allows users to personalize their music playlists like never before. By selecting the AI-generated playlist art option, users can turn their collections of favorite songs into visually stunning and distinctive creations. Whether it’s a workout playlist, a “chill vibes” collection, or a party mix, the AI system captures the essence of the music with captivating artwork, making the whole experience more immersive and enjoyable.

IMAGE CREDITS: YouTube Music

Enhancing User Engagement
The introduction of AI-generated playlist art has the potential to significantly enhance user engagement on YouTube Music. With visually appealing artwork accompanying each playlist, users are more likely to spend time exploring and sharing their curated collections with friends and followers. It adds a touch of personalization and expression that goes beyond the music itself, creating a unique and memorable experience for both creators and listeners.

The Intersection of Art and Technology
YouTube Music’s AI-generated playlist art feature represents a powerful convergence of art and technology. By leveraging AI algorithms, the platform taps into the inherent creativity of machine learning systems to produce visually stunning artwork that resonates with users. This fusion of artistry and technology opens up new possibilities for music streaming platforms, paving the way for more customized and immersive experiences in the future.

Implications for the Future of Music Streaming
The introduction of AI-generated playlist art by YouTube Music demonstrates the continuous evolution of music streaming platforms. As competition intensifies, platforms are constantly seeking innovative ways to enhance user experiences and differentiate themselves from their competitors. Customizable playlist artwork is just one example of how AI and machine learning can be harnessed to create more engaging and personalized experiences for music enthusiasts.

Privacy and Ethical Considerations
While the AI-generated playlist art feature brings exciting new possibilities, it also raises important privacy and ethical considerations. As AI systems analyze user data to generate personalized content, it is crucial that platforms prioritize privacy and data protection. Transparency in data usage, clear user consent mechanisms, and robust security measures should be top priorities to ensure users’ trust and confidence in these AI-driven features.

Conclusion
The introduction of AI-generated playlist art by YouTube Music represents a significant evolution in the music streaming experience. This innovative feature leverages machine learning algorithms to create personalized and visually stunning artwork for user playlists, enhancing engagement and expression. As AI technologies continue to evolve and integrate into the music streaming landscape, we can expect to see even more exciting and personalized features that revolutionize the way we listen to music. However, it is important to ensure that privacy and ethical considerations are taken into account, and that user feedback is central to the development of new features and technologies. By harnessing the power of AI, music streaming platforms can create more rewarding and engaging experiences for users, and build communities around music that are as vibrant and diverse as the music itself.

Links worth visiting:

AI Music Playlist Generator

Is AI The Future Of Music Industry?

AI Generted Playlists On Spotify

Sources:

TechCrunch: YouTube Music now lets you create custom AI-generated playlist art

AI Models Used:

Copy.ai

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Sky’s the limit

Reading Time: < 1 minute

On 16 December 2022, there was an amazing event in Metaverse. Notorious B.I.G aka Biggie Smalls- one of the greatest American rappers who was shot in 1997- was performing a concert on Meta’s Horizon World. Actually, it wasn’t him but his avatar created for the show. He seemed very much alive and fans have the possibility to see their favorite rapper one more time at a live event.  What came to my mind after this musical entertainment is that it might bring to life many famous artists. It would give their admirers a new amazing way to interact with their favorite performers. I consider it a new way to experience and discover music. But here comes a question, is making money on dead artists ethical? The idea of transmitting music in this way is beautiful, it gives life to artists and makes their creativity immortal. But on the other hand, no one should make a profit out of it. What do you think about it? You can watch how the concert looked like here: https://fb.watch/hs_xLy3K1X/.

Sources:

I just watched Biggie Smalls perform ‘live’ in the metaverse | MIT Technology Review

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The Frank Sinatra song that not even Frank Sinatra heard

Reading Time: 4 minutes

As Christmas is fast approaching, we are starting to hear the holiday classics everywhere. From All I Want for Christmas at the Supermarket to Rockin’ Around the Christmas Tree on the radio – Christmas songs are virtually unavoidable. 

But I’d like you to think of the artists behind these songs – most of Spotify’s Christmas Hits playlist[1] is comprised of songs recorded or written before the first manned mission to the Moon.

Naturally, many of the authors and performers listed in the credit sections of these songs are long gone – Bing Crosby died in 1977, Nat King Cole passed away in 1965 and Frank Sinatra departed in 1998. 

Frank Sinatra
source: http://enterate24.com/hace-104-anos-nacio-el-cantante-frank-sinatra/

It’s a shame that we won’t be able to hear any new songs from them.

But what if it doesn’t have to be that way?

That’s where OpenAI’s Jukebox comes into play.

Debuted in April 2020, the technology analysed over a million songs[2], along with their lyrics and metadata (release date, genre, mood) and is now capable of generating full tracks in the style of any well-known artist. The company shared a range of demos, designed to resemble artists such as Alan Jackson, Katy Perry, or Elvis Presley. Most notably though, the song that stands out is “Hot Tub Christmas”, in the style of Frank Sinatra. While the “recording” quality might not be perfect, the timbre of the “singer’s” voice is eerily similar to that of the legendary American singer.

Though the lyrics have been co-written by a language model and OpenAI researchers, the chord progressions and instrumental cohesion are very well replicated in the computer-generated mp3s. The team behind Jukebox is aware of the software’s faults, as “[…] the generated songs show local musical coherence, follow traditional chord patterns and can even feature impressive solos, we do not hear familiar larger musical structures such as choruses that repeat.”2

Jukebox doesn’t analyze the actual notes in the songs, but only relations between pitch over time. An upside of such an approach is the possibility of highly realistic human voice creation. For their future endeavors, OpenAI plans to integrate a note-to-MIDI technology which would detect the rhythms and exact notes, which would allow for a deeper, more natural, and precise song creation – perhaps with the use of software instruments or synthesizers for higher file and sound quality.

Jukebox, at this point, is treated by the music industry as a mere curiosity, with no real applications – even despite a new feature of creating an acapella file from user-generated lyrics being introduced. This dynamic might change in a relatively short time if Jukebox becomes able to create classically written songs, providing the notes, rhythms MIDI files behind them. With such possibilities, songwriters and producers could streamline their music creation processes and massively increase their output. 

The current market situation is visualized by the fact that most of the investments poured into creative AI come from Venture Capital and Tech Corporations – not from the Music Industry.[3]

At this point, it does not seem like any songwriter or producer jobs are endangered. High quality audio files have incredibly many timesteps which encode data – a standard 4-minute-long song in a .wav 44.1 kHz file will contain over 10 million timesteps.[4] Currently, a song needs to be almost fully produced and designed by a professional before being rendered into such a complicated audio file.

The process of AI art generation is slowly being integrated into commercial culture, with the generator Midjourney winning the Colorado State Fair Fine Arts Competition.[5] Jukebox and similar technologies are often criticized for taking away the humanity out of art, while some perceive it as an opportunity to augment their creations through technology.[6]

“Théâtre D’opéra Spatial” – the AI-generated, contest winning piece of art
source: https://edition.cnn.com/2022/09/03/tech/ai-art-fair-winner-controversy/index.html

To me, it seems inevitable that Artificial Intelligence will be widely used in the music industry – major labels will push for anything that can give them a competitive edge in business. 

We must also take into consideration the legal implications of Jukebox.[7] Our laws don’t include AI “artists” and thus, there might be copyright implications. Who is the de facto author of such a song? The AI developer, or the person who entered prompts into the technology to create a specific tune? How do we split royalties for such songs? Furthermore, is it acceptable ethically to expand dead artists’ catalogues?

In conclusion: AI is slowly entering into creative arts, especially the music industry, thus expanding songwriters’ and producers’ output and possibilities. It appears that in this case, the risk of actual people being replaced by technology is lower than in easily automated and routine operations. 

This time, I’ll ask the classic question: do you think that AI art is proper art? Should it be publicly disclosed that a song or a painting was generated through Artificial Intelligence?

Let me know what you think in the comments!

Until next time,

Jan 


[1] https://open.spotify.com/playlist/37i9dQZF1DX0Yxoavh5qJV?si=d4fa601b2c3f4418

[2] https://www.cnet.com/science/these-ai-generated-katy-perry-and-elvis-songs-sound-hauntingly-real/

[3] https://blog.songtrust.com/current-state-of-ai-what-songwriters-need-to-know

[4] https://openai.com/blog/jukebox/

[5] https://edition.cnn.com/2022/09/03/tech/ai-art-fair-winner-controversy/index.html

[6] https://fortune.com/2018/10/25/artificial-intelligence-music/

[7] https://themix.musixmatch.com/post/ai-in-songwriting-4-practical-applications

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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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