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UID:pretalx-coscup-2026-TJBUBN@pretalx.coscup.org
DTSTART;TZID=CST:20260809T130000
DTEND;TZID=CST:20260809T133000
DESCRIPTION:The tech industry is currently witnessing a linguistic land gra
 b. **As AI floods the ecosystem\, the definition of "Open Source" is being
  stretched to its breaking point**. While traditional Open Source Software
  relies on deterministic code and transparent licenses\, the non-linear\, 
 opaque nature of Large Language Models challenges these old paradigms. Wit
 hout a rigorous redefinition of openness\, we risk a future of black-box i
 nnovation.\n\nTo bridge this gap\, we will start by establishing a baselin
 e understanding of AI mechanics. With this core understanding established\
 , we will deconstruct the AI stack to understand **why traditional softwar
 e licenses fail**. We’ll move beyond the surface level to explore:\n- **
 The Pull Request Paradox**: Why modifying a model’s behavior is fundamen
 tally different from a standard pull request and what that means for commu
 nity contribution.\n- **Sovereignty vs. Access**: A deep dive into the "Op
 enness Spectrum"\, comparing different Open Source AI standards\, includin
 g the Open Source AI Definition by the Open Source Initiative.\n- **The An
 atomy of Openwashing**: How providers use the "Open" label to gain communi
 ty trust while gatekeeping the curation of training data and the compute r
 ecipes essential for true Open Source AI.\n\nAttendees will walk away with
  a **comprehensive framework for evaluating AI "openness"**\, a technical 
 understanding of why "open weights" does not equal "open source"\, and the
  vocabulary needed to advocate for true digital sovereignty in their commu
 nities or organizations.
DTSTAMP:20260713T132624Z
LOCATION:RB105
SUMMARY:Beyond the Code: Defining Open Source AI - Alfonso Cancellara
URL:https://pretalx.coscup.org/coscup-2026/talk/TJBUBN/
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