Post Software

The Internet is experiencing a divergence of User Experience (UX) and Agent Experience (AX). Combined with the dead internet theory and AI slop, people are moving away from social media to closed groups, often with added identity verification. As the internet collapses, we'll have an open internet where algorithms and agents move freely, closed communities and tribes, and masses of people interacting with content that no longer has human origin. This raises the question: who are we building for? For agents, focusing on AX without graphical interfaces? For consumers of the open network, still focusing on engagement? Or for closed groups, separated from the network?

Exploring the full spectrum of emotions humans experience when encountering artificial intelligence. AI acts as a profound mirror that reflects a vast spectrum of human emotions. This interaction elicits feelings ranging from profound hope and optimism to deep-seated anxiety and fear. The thrill of seeing AI elevate our skills, accelerate our work, and act as a reliable co-worker fuels the workplace fascination with AI.

While AI was supposed to disrupt the way we work, it has also changed how people work with music, how they create it, and how they listen to it. In her lecture, Joanna frota Kurkowska will talk about the implications AI has on both the creative space and the infrastructure in the music space in which AI fraud, musical pastiche, and vibrant creativity collide.

In Apache Software Foundation and Apache Airflow, we have the motto "Community Over Code," valuing people and collaboration much more than individual productivity or speed of creating code. With AI, we are a perfect place for individual contributors, often newcomers learning how to work and be part of the community, to thrive. We are deliberately designing our AI usage to be ethical, to boost community collaboration and productive cooperation, rather than force people to use AI to make them more productive.

Jarek will explain how Airflow community deliberately designed the process, tools and built-in AI usage to help a team of 50+ translators to translate Airflow UI in 20+ languages in a sustainable way, building a team of volunteer collaborators and doing something we would never do without AI.

Currently, humanists use AI like tourists use ready-made maps: they only reach destinations along well-worn trails created by engineers. This lecture is an invitation to chart your own paths. I will show that when a humanities expert, supported by AI, gains the ability to create their own software, they not only streamline their work but also open entirely new, previously unknown research perspectives. This is a breakthrough moment: the low barrier to entry into programming allows us to discover "new lands" of text and culture analysis whose existence we never even suspected when limited by previous tools.