Reddit is challenging Australia's under-16 social media restrictions in the High Court. It argues that the law limits young people's ability to participate in political discussion.
The company's history raises separate questions about how it has protected children on its own platform.
Reddit hosted r/jailbait, a community devoted to sexualised photographs of underage girls. Some images were taken or distributed without the subjects' knowledge or consent.
September 11, 2026 — reviewed for sharing
This document combines TheTom’s evidence inventory with Harrison’s investigation and captured posts. It records the funding, affiliations, launch sequence and policy proposals behind the discussion of Jacob Coxon’s resignation. Where a source establishes only one part of a claim, the remaining question is stated alongside it.
The record supports an assisted public announcement, early amplification by people associated with AI-policy organizations, historical philanthropic support, and an existing body of advocacy for restricting frontier AI development. It does not establish that Newspeak, a donor, or the hackathon organizers directed the announcement.
Newspeak House lists Jacob Coxon in its 2021 fellowship cohort. A separate Newspeak fellow, Nathan Young, published a 2019 EA Forum account describing advice to seek EA grants, work in AI public policy, and develop parliamentary contacts.
These records establish Coxon's institutional connection to Newspeak and a documented connection between Newspeak fellowship activity and Effective Altruism's policy interests. They warrant scrutiny of that background. They do not establish that Coxon received the same advice, received EA funding, or coordinated his resignation with an advocacy campaign.
Sources below are live pages checked on September 11, 2026. No archived copies are represented as having been secured for this document.
AI Hack for Freedom is an HRF-backed hackathon series that pairs AI developers with political dissidents and opposition activists to build working tools for their movements. HRF and Finite have trained participating activists on AI agents before the hackathon, and AI Freedom Lab has said standout projects may receive follow-on funding.
Hack III is recruiting developers for Washington, DC on September 24–25. The reason this deserves scrutiny is the documented funding, personnel, and historical-program overlap with the NED/USAID/NDI democracy-promotion ecosystem, plus the unresolved question of who can reuse the resulting tools afterward.
HRF says the hackathon brings together human-rights/democracy advocates and open-source developers to build tools supporting movements under repression.
Update: August 21 2026, How very interesting, there appears to have been a shift in policy! Most of what this document documented, appears to no longer be occurring from what I've been told. How VERY interesting.
Or: When The Person Who Writes The Policy Gets To Break It
Disclaimer: The author of this document is the submitter of PR #24039 and has a personal stake in these events. All factual claims are sourced from public GitHub API data, archived web content, and direct quotes. Every claim links to its source. Opinions are identified as such and derived from the factual record.
this is a general interpretation of my current chatgpt system customisation prompt. It's proven to be useful, capable and handy
its design is based on the character sensbilities of holly from red dwarf, but tuned slightly towards business over frivolity.
The one Ai character on an obscure TV show ended up being solid reference to build this prompt. This is as close as you get to having normal lovett as an Ai with this level of sophistication. I am known for making 4000 token prompts on other services other than chatgpt that are very clever and capable, but the above is an excellent compromise for general use.
Most coding assistants behave like sharp interns with no durable context. They can write code, but they don’t reliably accumulate repo-specific understanding, and they repeat the same mistakes. A three-rule scaffold fixes this by forcing a persistent loop: inspect → write down constraints → implement → record what was learned → tighten constraints. The result is less guesswork, fewer regressions, and faster follow-on work—without prescribing templates.
In real repos, failure modes are boring and repeatable:
