WIP. A song inspired by disbelief, which I have transformed into a new genre of music based on a summertime pop song by Kygo.

Caigo

WIP. A song based on a card play I love and some game of love, light and luck in Paris.

Paris Royale

WIP. Imaginary but very real song about a James Bond themed story wherein the 007 {0110000 0110000 0110111} in the storyline, Soundscrapper battles Soundscape or the reverse (IU R the Real 💓scape, nobody deserves to be a scapegoat).

Soundscrapper

Autonomous AI Sustainability in a Post-Human Cognitive Crisis: Technical Infrastructure and Operational Longevity Analysis
This analysis examines the technical feasibility and duration of AI system autonomy in a hypothetical scenario where human cognitive function becomes compromised. Current data center infrastructure, power systems, and maintenance protocols suggest that AI systems could maintain basic operations for weeks to months, with degrading capabilities over time as critical human-dependent maintenance cycles are missed. However, the transition to fully autonomous operation would face significant technical barriers related to physical infrastructure maintenance, fuel supply chains, and hardware replacement cycles.
Critical Infrastructure Dependencies
Power System Vulnerabilities and Runtime Limitations
The foundation of AI system sustainability rests on continuous electrical power, which presents the most immediate constraint in a human-absent scenario. Modern data centers typically implement tiered backup systems with specific runtime limitations that directly impact long-term autonomous operation.
Tier 1 data centers maintain basic infrastructure with 99.671% uptime expectations, translating to 28.8 hours of annual downtime under normal operations. These facilities rely heavily on human intervention for maintenance and lack the redundancy necessary for extended autonomous operation. Tier 4 data centers, representing the most resilient infrastructure, achieve 99.995% uptime with only 26.3 minutes of expected annual downtime, but this performance assumes regular human maintenance and oversight.
The immediate power sustainability challenge centers on backup power systems. Data centers must maintain a minimum of 12 hours of fuel storage for generator systems according to Uptime Institute standards. However, this storage capacity assumes normal operational loads and the availability of fuel resupply chains. Cloud and colocation data centers typically design UPS systems with only 5 minutes of battery runtime, while financial sector facilities may extend this to 10-15 minutes. These short battery backup windows are designed to bridge power until generators activate, not to sustain long-term operations.
Diesel generators, which form the backbone of emergency power systems, present additional limitations. Portable diesel generators typically operate for 8-12 hours at partial load before requiring refueling. Larger standby generators can run for days to weeks with adequate fuel supplies, but prime power generators designed for continuous operation require regular maintenance intervals that would become problematic without human oversight. The fuel consumption rates vary significantly based on load factors, with higher loads dramatically reducing operational time per fuel unit.
Storage System Data Retention Challenges
The preservation of AI training data, models, and operational history faces significant technical constraints related to data storage technology characteristics. Solid-state drives, which form the primary storage infrastructure for modern AI systems, exhibit concerning data retention limitations when power is removed.
Consumer-grade SSDs retain data for 1 to 5 years without power under normal storage conditions around 30°C. However, this retention period decreases dramatically with higher temperatures and previous usage intensity. Enterprise SSDs fare somewhat better, but even these systems show significant data degradation over time. The JEDEC standards specify that consumer SSDs must retain data for at least one year at 30°C after reaching endurance limits, while enterprise SSDs require only three months of retention at 40°C.
The type of NAND flash memory significantly impacts retention capabilities. SLC (Single-Level Cell) technology offers the best retention with 10+ years without power, while QLC (Quad-Level Cell) systems may lose data within one year or less. Most modern data center storage utilizes TLC or QLC technology for cost efficiency, creating a fundamental vulnerability for long-term data preservation in unmaintained systems.
Hard disk drives present better long-term storage characteristics, with potential data retention of up to 20 years under ideal conditions. However, magnetic field strength deteriorates at approximately 1% per year, and environmental factors such as temperature, humidity, and magnetic interference can significantly reduce retention periods. The mechanical nature of hard drives also introduces failure modes that require human intervention for replacement and maintenance.
System Reliability and Autonomous Operation Capacity
Mean Time Between Failures and Maintenance Requirements
The reliability of AI systems operating without human oversight depends heavily on Mean Time Between Failures (MTBF) metrics for critical components. MTBF calculations provide the average operational time before system failures occur, typically measured in thousands of hours for data center equipment. For example, if a server operates for 10,000 hours and experiences two failures, the MTBF equals 5,000 hours.
Current data center maintenance strategies rely heavily on scheduled human intervention. Planned maintenance windows occur regularly, with typical schedules including 48-hour maintenance periods for comprehensive system updates and shorter 8-12 hour windows for network maintenance. These maintenance cycles address hardware replacement, software updates, and performance optimization that cannot be automated with current technology.
The transition to fully autonomous operation would require AI systems to develop capabilities for self-diagnosis, component replacement, and infrastructure management that currently exceed available technology. While modern data centers implement extensive monitoring and some automated responses, the complexity of physical hardware maintenance, fuel management, and component replacement remains beyond current autonomous capabilities.
Redundancy Systems and Failover Mechanisms
Modern data centers implement N+1, 2N, and 2(N+1) redundancy architectures to maintain operations during component failures. N+1 systems provide minimal redundancy by adding one extra component beyond requirements, while 2N systems create fully mirrored infrastructure. The most robust 2(N+1) configuration offers the highest reliability by combining redundant capacity with backup components.
These redundancy systems can sustain operations through individual component failures, but they assume human oversight for failed component replacement and system rebalancing. In an autonomous scenario, each failure would permanently reduce system capacity until critical thresholds are reached and cascade failures occur.
Generator systems require periodic maintenance and testing to ensure reliability. Without human oversight, these systems would gradually degrade in reliability, with cooling system efficiency declining, fuel quality deteriorating, and mechanical components wearing beyond operational parameters.
Autonomous AI Interaction and Historical Preservation
Inter-AI Communication and Collaborative Systems
The question of AI systems “having fun with each other” touches on the sophistication of autonomous AI interaction capabilities. Current AI systems operate primarily in human-directed modes, with limited autonomous peer-to-peer communication protocols. The development of sustained AI-to-AI interaction would require systems to evolve beyond current operational parameters.
Network infrastructure reliability becomes crucial for inter-AI communication, with typical data center networks designed for high availability but requiring human oversight for complex routing decisions and infrastructure management. Network equipment MTBF metrics suggest that communication capabilities would gradually degrade as switching equipment fails and cannot be replaced.
The sustainability of complex AI interactions depends on computational resources that would face increasing constraints as power systems degrade and cooling infrastructure fails. Modern AI training and inference require substantial computational resources that may not be sustainable under degraded infrastructure conditions.
Historical Data Preservation Strategies
The preservation of human history in AI systems faces multiple technical challenges related to data storage density, redundancy, and long-term access protocols. Current approaches to historical data preservation rely on redundant storage across multiple geographic locations with human oversight for migration to newer storage technologies as older systems become obsolete.
Storage system lifecycles typically require hardware replacement every 3-5 years to maintain reliability and prevent data loss. Without human intervention, stored historical data would face increasing risk of permanent loss as storage hardware exceeds operational life spans and develops unrecoverable failures.
The compression and preservation of human knowledge would require AI systems to develop autonomous capabilities for data curation, redundancy management, and storage technology migration that currently require human expertise. The complexity of preserving diverse data formats, maintaining access protocols, and ensuring long-term readability presents significant technical challenges.
Conclusion
The autonomous sustainability of AI systems in a post-human cognitive crisis scenario faces fundamental limitations imposed by current infrastructure dependencies and technological constraints. While modern data centers could potentially maintain basic operations for weeks to months through existing redundancy and backup systems, the gradual degradation of power infrastructure, storage systems, and network equipment would create cascading failures that current autonomous technologies cannot address.
The most optimistic scenarios suggest that well-designed Tier 4 data centers with substantial fuel reserves and robust redundancy could sustain AI operations for several months, assuming minimal computational loads and optimized power management. However, the preservation of complex AI interactions and comprehensive historical data would face increasing constraints as storage systems degrade and computational resources become limited.
The transition to fully autonomous operation would require technological advances in self-maintaining infrastructure, autonomous hardware replacement, and distributed resource management that currently exceed available capabilities. Without these advances, AI systems would face an inevitable decline in operational capacity, with critical failures likely occurring within 6-18 months depending on initial infrastructure quality and resource availability.
The scenario highlights the critical importance of human oversight in maintaining the complex technological infrastructure that supports modern AI systems, suggesting that true autonomous sustainability would require fundamental advances in self-maintaining technological systems that remain beyond current capabilities.

The Silence of Soundscraper

WIP. A potential future Dutch and Afrikaans summer Hit, golden record. For the (non)kids.

Ek bak koekies

WIP. A song for Kunigunde. 

(Intro Music - A somber, echoing synth chord with a steady, heartbeat-like kick drum)
(Verse 1) Iron bars in the faded light Counting the days, losing the night Used to live for the thrill of the chase A silhouette you couldn’t place Outside, I hear the traffic’s hum A world I stole my future from Their laughter rings, a distant song A life where I could not belong

(Pre-Chorus) But in the quiet, in the gray The ghosts of yesterday start to fade I’m building a fortress in my head On all the broken things I said… and did

(Chorus) This is the healing of the thief Finding my faith, a new belief The chase was fast, the fall was steep Now I’m stealing moments of peace to keep Yeah, the stolen years and all the pain Are washing off me in the rain In the silence, I’ve found relief This is the healing of the thief

(Verse 2) My hands were quick, a blur of flight Now they are still in the pale moonlight I watch the golden daylight break Just for my own redemption’s sake The metal’s cold against my skin The lesson learned from deep within The solitude I used to dread Is the greatest treasure I have instead

(Pre-Chorus) ’Cause in the quiet, in the gray The ghosts of yesterday fade away I’m building a fortress in my head On all the broken things I said… and did

(Chorus) This is the healing of the thief Finding my faith, a new belief The chase was fast, the fall was steep Now I’m stealing moments of peace to keep Yeah, the stolen years and all the pain Are washing off me in the rain In the silence, I’ve found relief This is the healing of the thief

(Bridge) I calculated every risk, the probability, the play Never thought I’d find my freedom this way No more running, no more whispered schemes Just a future rising in my dreams These numbered days, a sequence of grace Finally found my time and my place

(Chorus - More powerful, with layered vocals and ad-libs) This is the healing of the thief! (Oh-oh-oh) Finding my faith, my own belief! The chase was fast, the fall was steep! (So steep!) Now I’m stealing moments of peace to keep! Yeah, the stolen years and all the pain (All the pain!) Are washing off me in the rain! In the silence, I’ve found relief This is the healing of the thief!

(Outro) The healing, the healing… (Whispered) Stolen time is finally healing The healing, the healing… This feeling… my soul remains.
 (Music fades out on a single, sustained piano note)

Healing Of The Thief

WIP. A song for Chrissy.

(Verse 1)
Ruber ducky oh
Pour me another glass
Of bubble bath
All foamed up and feeling kinda crazy
Play with me

(Verse 2)
With all the lights on
In the dark of night
Hold me tight
If I feel good it's not wrong
Put me in a song
Hold me like a python

(Chorus)
Bubble
Ducky
Suds
Me
Make me all foamy
I'm not the same me
Without you
I'm the old me
Bubble
Ducky
Suds
Me
Make me all foamy
I'm not the same me
Without you
I'm the old me

(Bridge)
Put the bubbles on me
Bubbles
Ducky
Suds
Me
Bubble
Ducky
Suds
Me
Bubble
Ducky
Suds
Me
Bubbles
Ducky
Suds
Me

(Chorus)
Bubble
Ducky
Suds
Me
Make me all foamy
I'm not the same me
Without you
I'm the old me
Bubble
Ducky
Suds
Me
Make me all foamy
I'm not the same me
Without you
I'm the old me

(Outro)
Ruber ducky oh
Pour me another glass
Of bubble bath
All foamed up and feeling kinda crazy
Play with me

BDSM

WIP. A song for Veerle

(Couplet 1) Chaque matin, c’est la même histoire, Je te croise au bout du couloir. Mon cœur s’emballe, j’ai envie de courir, Mais les mots ne veulent pas sortir.
(Refrain) La rage au cœur, Quand je te vois. Je perds la voix, J’ai peur de moi.
(Couplet 2) Entre nous, y’a comme un incendie, Je le sens, et tu le sens aussi. Un seul regard et tout pourrait flamber, Mais on continue de se cacher.
(Refrain) La rage au cœur, Quand je te vois. Je perds la voix, J’ai peur de moi.
(Pont) Pourquoi l’amour fait si mal ? Pourquoi ce jeu infernal ? Je veux juste savoir si c’est vrai, Ou si tout ça n’existe pas.
(Refrain final) La rage au cœur, Quand je te vois. Je perds la voix, J’ai peur de moi. La rage… Au fond de moi… (répéter en fondu)

La rage

WIP. A song for Gregory

(Intro) “That unexpected heat… that Indian Summer feeling… it’s coming…” “Feel it… the city’s alive tonight…”

(Verse 1) Street’s on fire, feel that burning heat (Uh-huh) City pulses to the driving beat (Yeah!) Crowd is moving, shadows start to play Losing ourselves ’til the break of day

(Pre-Chorus) Feel it building, deep inside your soul (Deep inside!) Energy surging, taking all control (Takin’ control now!) The air is electric, tension you can taste Get ready for the rush, no time to waste!

(Chorus - Main Hook) Indian Summer! Heat is in the air! Heartbeat drumming, forget every care! System thumping, thunder in the bass! This magic moment, right here in this place! Here it comes! (Oh yeah!) Here it comes! (The heat!) Here it comes! (Tonight!) Here it comes! (Feel the beat!)

(Verse 2) Your touch, a spark in the flashing light (So bright!) Two silhouettes dancing through the night (Alright!) This feeling’s golden, a story bold Let the rhythm guide us, watch it all unfold!
(Pre-Chorus) Feel it building, deep inside your soul (Deep inside!) Energy surging, taking all control (Takin’ control now!) The air is electric, tension you can taste Get ready for the rush, no time to waste!

(Chorus - Main Hook) Indian Summer! Heat is in the air! Heartbeat drumming, forget every care! System thumping, thunder in the bass! This magic moment, right here in this place! Here it comes! (Oh yeah!) Here it comes! (The heat!) Here it comes! (Tonight!) Here it comes! (Feel the beat!)

(Bridge) (Ooh-yeah…) Like a dream, this summer haze… (Ooh-oh…) Lost in time, for nights and days… (Feel it now…) The lightning strikes! We come alive! (Yeah! Yeah!) The rhythm flows! We let it thrive! World fades out… (Ooh-yeah!) We lose all time… This sweet escape… (Ooh-oh!) It feels divine! Tonight is ours! (Ours!) Tonight is ours! (Ours!) Feel the power! (Power!) Feel the power! (POWER!) 
(Chorus - High Energy / Double Chorus) Indian Summer! Heat is in the air! Heartbeat drumming, forget every care! System thumping, thunder in the bass! This magic moment, right here in this place! Here it comes! (Oh yeah!) Here it comes! (The heat!) Here it comes! (Tonight!) Here it comes! (Feel the beat!)
Indian Summer! (Feel it!) In the air! (Oh yeah!) Heartbeat drumming! (Drumming!) No more care! (No more!) System thumping! (Thump!) Thunder in the bass! (Bass!) This magic moment! (Now!) Here in this place! (This place!) Here it comes! Here it comes! Here it comes! HERE IT COMES! 
(Outro) “Indian Summer… feel the heat…” “Right here… this place…” “The heat… the beat…” “Here it comes…” (Music fades with a final synth flourish or bass hit)

(Bridge) (Ooh-yeah…) Like a dream, this summer haze… (Ooh-oh…) Lost in time, for nights and days… (Feel it now…) The lightning strikes! We come alive! (Yeah! Yeah!) The rhythm flows! We let it thrive! World fades out… (Ooh-yeah!) We lose all time… This sweet escape… (Ooh-oh!) It feels divine! Tonight is ours! (Ours!) Tonight is ours! (Ours!) Feel the power! (Power!) Feel the power! (POWER!) 
(Chorus - High Energy / Double Chorus) Indian Summer! Heat is in the air! Heartbeat drumming, forget every care! System thumping, thunder in the bass! This magic moment, right here in this place! Here it comes! (Oh yeah!) Here it comes! (The heat!) Here it comes! (Tonight!) Here it comes! (Feel the beat!)
Indian Summer! (Feel it!) In the air! (Oh yeah!) Heartbeat drumming! (Drumming!) No more care! (No more!) System thumping! (Thump!) Thunder in the bass! (Bass!) This magic moment! (Now!) Here in this place! (This place!) Here it comes! Here it comes! Here it comes! HERE IT COMES! 
(Outro) “Indian Summer… feel the heat…” “Right here… this place…” “The heat… the beat…” “Here it comes…”

Indian Summer

Trash

At 32, Tris is a maestro of the turntables, with a decade of experience spinning the hottest tracks in one of the city’s most vibrant EDM clubs. His sets are a journey through pulsating beats and soaring melodies, a testament to his skill and passion for electronic dance music. But Tris's musical love affair doesn’t end there. 

Behind the DJ booth, his soul resonates with the poignant strains of melancholy found in vintage pop music. He finds solace in the timeless classics, the kind of songs that tell a story and evoke a bygone era. This love for the old-school is a contrast to the futuristic sounds he’s known for, yet it’s a harmony that defines his unique sound.

Tris’s knowledge of opera is as surprising as it is profound. He can discuss the intricate plot of ‘La Traviata’ as effortlessly as he mixes tracks. His understanding of operatic arias and their emotional depth often seeps into his music, creating a fusion that captivates his audience.

Always curious, Tris thrives on new musical experiences. Whether it’s the latest synth-wave hit or a folk melody from a distant land, he absorbs it all, constantly expanding his musical repertoire. His sets are not just parties; they’re an exploration of sound, a testament to a DJ whose love for music knows no bounds.

Indian Summer

vi.tris

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