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JitterHeart is an acousmatic work that explores how AI can reimagine traditional musical notions of the score, performance, and expressivity. In this piece, I use the Max MSP programming environment in conjunction with Jitter (Jit.GL) to create a self-regulating, quasi-organic audiovisual system. The core material stems from a StyleGAN3 neural network I trained at the Yale Center for Research Computing (YCRC), using an ethical dataset composed entirely of frames from my own digital music scores. The resulting AI- generated video is not merely representational – in a sense, it becomes a new score itself: the “heart” of the piece, the motor for both its sound and structure – the difference being that this score is read in a completely different way.

Rather than interpret the video visually, I process it technically. Jit.GL extracts its pixel-level data into four dynamic matrices – like the pulsating chambers of a heart – converting the video into long lists of numbers. These are mapped to musical parameters such as frequency, resonance, envelope shape, articulation density, and velocity. The video’s abstract jitteriness becomes a kind of LFO constellation – a network of oscillators – governing the sound in ways that feel both organic and alive.

The composition’s harmonic and timbral structure is shaped by a custom-built polyphonic subtractive synthesizer I programmed within Max, using noise as the foundational signal – conceptually echoing the visual noise matrices typically used as generators in Jit.GL. Its behavior is refined by a “modalizer–microtonalizer” module I developed this semester for spectral control. I quantize this filtered pink noise using scales, and further sculpt it with delay, reverb, and sequencing tools. The audio processing mirrors the structure of the video –turbulent, layered, yet precise and self–contained.

The idea of the score is further expanded in this piece through a new mode of “reading” and extracting musical information: a data-rich object interpreted and generated by machines from its prior incarnation as a man–made symbolic system for human musicians. In JitterHeart, the score becomes both performer and performance – simultaneously visual archive and generative code. By giving the video agency over sound, JitterHeart poses a speculative question: what if a score could not only instruct performance, but become it, pulsing with its own synthetic jittery heartbeat?

JitterHeart

Приспів:
Pritti shi, я люблю її тіло
Oh bae чому you така красива
Боже я вбит, обведи мене мілом
40 ударів по серцю, всі мимо
Leave me alone
Залишаюсь джугать тіпов Залишаюсь сіпати їх кров
Я залишаюсь щоб тобі було ок

Ellffy один на один 
Де моя хейл джеррі 
Чи хочаб Клавдія Петрівна
Я так хочу цю pritti shi
А вона не альона альона - не видно
Okay whats'up
Радий бути знайом з тобою, hoe
On me зуба чистка моя зброя
І в кишені є ці ножиці

jo1nnyclub:
Ти запитаєш мене коли стану феймом I’m so far
За пів дня на мені вся валюта євро, я Катар
Не можу всидіти на двох стільцях я Turkish airlines 
Я так влізаю в цю політику як tdf в наш trap
Я бачу кожен день тебе в тик тоці, бро це надовго
Це ua rap or english breakfast, але виглядає модно
Я хочу бути в нашій студії з ранку і до ночі
Even if i don’t wake up in the morning, я на студії still glowing

Приспів:
Pritti shi, я люблю її тіло
Oh bae чому you така красива
Боже я вбит, обведи мене мілом
40 ударів по серцю, всі мимо
Leave me alone
Залишаюсь джугать тіпов Залишаюсь сіпати їх кров
Я залишаюсь щоб тобі було ок

pritti shi + jo1nnyclub (obstn)

suck song w/ boneguard

Maximizing AI's Contribution to the Divergence Era

AI Ingenuity's Compass in a Shifting World

CHUPA XOXOTA VS BCT ( DJ ML DA VILA )

Managing large amounts of data can be challenging, especially when you also have to manage the storage system where the data lives. So to make life easier for storage administrators, NetApp offers a data ops toolkit that can offload some of the work associated with storage management. On this Tech ONTAP Podcast episode, we welcome the creator of the toolkit, Michael Oglesby, to talk about the latest updates and where best to use it.

Episode 404 - DataOps Toolkit

Приспів:
В мене немає stop
О чорт я big step
Obstn, jo1nnyclub
МL зробить rec
Ти не popstar
В тебе немає SWAG
Ellffy ща на cloud
Ми з бро high тепер

Куплет:
Закликаю їх робити move
На мені ща колесо фортуни
Ця hoe знає мене дуже cool
Але не знає як її люблю
Репер клоун тіпа бітлджус
Я ненавиджу те що я живу
Кожен день ми ходимо по труп
Тільки trap створює мені good mood

Брідж:
Хей репер де твій show, де твій dope?
Omg тіпа я буду sold ей
Omg репер чорт, і це сто ей

Приспів:
В мене немає stop
О чорт я big step
Obstn, jo1nnyclub
МL зробить rec
Ти не popstar
В тебе немає SWAG
Ellffy ща на cloud
Ми з бро high тепер

high (obstn)

We’re diving deep into AI at scale with NetApp experts Bobby Oomen and David Arnette. From NVIDIA SuperPod (think AI factories powering massive LLM training) to FlexPod solutions that bring inference into everyday enterprise workloads, we unpack what’s happening at the cutting edge of AI infrastructure.

You’ll hear how NetApp and NVIDIA are collaborating to solve one of AI’s biggest challenges—data management—with tools like SnapMirror, FlexCache, and FlexClone. We also explore why inference is becoming just as important (if not more) than training, and what that shift means for enterprises looking to integrate AI into their operations.

Whether you’re curious about NVIDIA Cloud Partner (NCP) offerings, KV cache innovations, or how Cisco and NetApp are pushing FlexPod into the AI era, this episode is packed with insights you won’t want to miss.

Tune in to learn how enterprises can scale AI securely, efficiently, and flexibly—with NetApp at the core.

Episode 405 - NVIDIA SuperPod Updates - Fall 2025

Each week, the Tech ONTAP Podcast dives into all-things NetApp, including storage, public & private cloud, and much more. The team will also be interviewing subject-matter experts from across the industry and detailing various best practices for getting the most out of your datacenter.

🎧 | DJ | PRODUTOR
📩 | djmldavila@gmail.com

Composer and scholar of new acoustic and electronic music at the Yale School of Music

New tracks tagged #ML