DeBattle

Small-N Models: Why Tiny Datasets + Clever Architecture Can Outperform Scale In the quest to push the boundaries of artificial intelligence (AI) and machine learning, the prevailing notion has often been that bigger is better. Larger datasets and enormous models have attracted… read more

The Dark UX of Addiction — How Interfaces Nudge Attention and How to Resist In today’s digital age, our attention is the currency that tech companies are fervently pursuing. The design techniques employed by these companies, often shrouded under the guise of… read more

Interfaces for Intimacy — Designing Tech for Deep Human Connection In an era where technology often serves as both a bridge and a barrier to human connection, the challenge of designing interfaces that foster genuine intimacy is becoming increasingly significant. As we… read more

Data Provenance for Artists — Tracing Where Your Training Data Came From In the dynamic intersection between technology and art, artists are increasingly utilizing machine learning models to create innovative artwork. As these models rely heavily on vast datasets for training, an… read more

The Economics of Model Training — Who Pays for Compute and Why It Matters As artificial intelligence continues to advance, the process of model training remains at its core. This complex and resource-intensive undertaking is shaping the narrative of modern technology and… read more

Playable Models: Turning AI into Instruments for Live Performance The realm of live performance is witnessing an unprecedented transformation with the integration of artificial intelligence. What was once limited to human skill is now expanded through the capabilities of Playable Models. These… read more

Algorithmic Bias Case Studies — Fixes that Actually Worked (and Those That Didn’t) Algorithmic Bias Case Studies — Fixes that Actually Worked (and Those That Didn’t) The rise of artificial intelligence and machine learning has brought about unparalleled opportunities. However, it has… read more

Neural Networks, Neural Noise: Currents Under Emergent Creativity In an age where artificial intelligence seems to be on the verge of creativity, neural networks have taken center stage. These intricate webs of artificial neurons are beginning to simulate the human brain’s ability… read more

Machine Folk Tales — Storytelling about AI as Modern Myth As artificial intelligence continues to advance, it not only reshapes our technologies but also our cultural narratives. From tales of friendly robots to dystopian warnings, AI has become the muse for a… read more

Human-in-the-Loop Design — Keeping Humans Central in Automated Systems In the rapidly evolving landscape of technological advancement, Human-in-the-Loop (HITL) Design emerges as a pivotal approach that ensures human insight remains integral to automated systems. This design philosophy emphasizes the symbiotic relationship between… read more

Edge AI — Running Models on Tiny Devices for Privacy-Respecting Art As technology continues to evolve, the melding of artificial intelligence with creative expression has reached new heights. One of the most exciting developments in this area is Edge AI—a form of… read more

The Aesthetics of Error: Embracing Model Failure as an Artistic Resource In a world increasingly dominated by perfection and precision, driven by algorithms and machine learning models, a fascinating juxtaposition emerges: the beauty found within errors and failures. As technology continues to… read more