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Hack & Tell: Music Gen, Real-Time Avatars, Vectorial AI & Multi-Agent Systems

Event artwork for Hack & Tell: Music Gen, Real-Time Avatars, Vectorial AI & Multi-Agent Systems

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What to expect

Get ready for an intensive deep-dive into how AI systems are actually built—from creative tools to production-grade infrastructure. This Hack & Tell brings together AI engineers, researchers, and founders for an evening of technical talks split across two parallel tracks, followed by pizza and networking at Allianz Technology's Barcelona offices.

This event stands out by focusing on the intersection of high-end research and creative engineering. Rather than surface-level overviews, you'll hear from practitioners who've shipped real systems—exploring everything from training custom music models to rendering photorealistic avatars at 60 FPS.

Track 1: Creative AI & Real-Time Systems

Teaching AI to Make Music Like I Do with Bianca Cheng (formerly Apple and MIT Media Lab). Bianca approaches AI as a collaborative partner rather than a replacement tool. She'll share insights from her HeartMula project, where she trained models on her own musical recordings to explore new creative directions while preserving her artistic identity. This talk is ideal for anyone interested in personalizing AI systems or working at the intersection of creativity and machine learning.

Building a Real-Time Interactive Avatar Pipeline with Arnab Dey and Marcel Alcoverro from UNITH. This is a full-stack technical walkthrough covering LLM-driven speech synthesis, autoregressive 3D motion generation, and Gaussian Splatting rendering streamed at 60 FPS. Expect hard discussions about latency trade-offs, production MLOps challenges, and what it actually takes to turn a static image into a responsive, photorealistic human avatar. Perfect for engineers working with computer vision, 3D graphics, or real-time AI systems.

Track 2: Vectorial Design & Multi-Agent Orchestration

Penpot Wizard: Bridging Design and AI with Xesca Alabart from Gluecharm. Most AI design tools like v0 or Bolt generate code instead of editable design objects, trapping designers in a "prompt loop" where every tweak requires a new generation. Xesca presents a fundamentally different approach using Vectorial AI methodology that generates native design objects—shapes, paths, components—tha

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