Developer releases open-source tool to map AI worldviews

By Splitfeed EditorialLast updated Sep 26, 2026, 19:00 UTC

On September 25, 2026, a developer submitted a project called Jev to Hacker News under the Show HN format. The tool, framed around a "Doom or Bloom" spectrum, asks users a short series of questions to map their personal outlook on AI futures, then lets them compare their position with others who have used it. The submission describes the project as free, open source, and private by default, meaning it does not store personal data without user action. No organisation, funding source, or usage figures were included in the post.

The project sits at an intersection of two ongoing tensions: how people should think about AI futures, and whether informal civic tools can meaningfully shape those conversations. What makes this more than a novelty is the framing choice itself. Positioning AI outlooks on a spectrum, rather than as a binary debate, is a design decision with real implications for how people understand their own assumptions and those of others. The absence of external validation or institutional backing leaves open questions about the methodology behind the questions, how the spectrum is calibrated, and whether comparison data will remain meaningful as the user base grows or stays small.

None of the three camps have published reactions to this story. Pro-AI commentators would typically welcome a tool that invites people to take seriously the possibility of positive AI outcomes, seeing structured self-reflection as a corrective to what they view as reflexive pessimism. Anti-AI voices would likely scrutinise whether the spectrum design normalises or softens positions they regard as well-founded concerns, and might question whose assumptions are baked into the framing. Middle-ground observers would probably view the project charitably as a low-stakes entry point for people who have not yet formed firm views, while noting that its impact depends entirely on whether the questions are rigorous and the comparisons honest.

The arguments worth watching are whether the open-source community engages with the methodology behind the spectrum, and whether any independent researchers or AI-focused organisations adopt, critique, or build on the tool in the months following its release.