<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Black Box Notes — Notes</title><description>Pieces filed under Notes in the Black Box Notes archive.</description><link>https://blackboxnotes.com/</link><language>en-us</language><item><title>The Ten Hardest Auditability Problems in Agentic AI</title><link>https://blackboxnotes.com/articles/12-the-ten-hardest-auditability-problems-in-agentic-ai/</link><guid isPermaLink="true">https://blackboxnotes.com/articles/12-the-ten-hardest-auditability-problems-in-agentic-ai/</guid><description>A working list of the genuinely unsolved technical and institutional problems in agentic-system audit. Not a wish list. The actual hard ones, with notes on why each remains unresolved and what would constitute progress.</description><pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate><category>Notes</category><category>hard-problems</category><category>research</category><category>audit</category><author>Annika Vogel</author></item><item><title>Black Box AI vs. Agentic OS: A Comparative Framing</title><link>https://blackboxnotes.com/articles/09-black-box-ai-vs-agentic-os-a-comparative-framing/</link><guid isPermaLink="true">https://blackboxnotes.com/articles/09-black-box-ai-vs-agentic-os-a-comparative-framing/</guid><description>Two of the most-searched phrases in the AI category, both of them imprecise, frequently confused. A note on what each actually means in 2026, why they are sometimes mistaken for each other, and how the comparison illuminates the auditability question that runs through both.</description><pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate><category>Notes</category><category>definition</category><category>comparison</category><category>agentic-os</category><author>Tomás Esquivel</author></item><item><title>Why Some Founders Are Choosing Transparency as a Moat</title><link>https://blackboxnotes.com/articles/08-why-some-founders-are-choosing-transparency-as-a-moat/</link><guid isPermaLink="true">https://blackboxnotes.com/articles/08-why-some-founders-are-choosing-transparency-as-a-moat/</guid><description>An unusual strategic position is emerging in the agentic category: small operators using auditability not as a regulatory tax but as a competitive lever. We look at the structural reasons it works and why it remains rare.</description><pubDate>Sat, 30 May 2026 00:00:00 GMT</pubDate><category>Notes</category><category>strategy</category><category>transparency</category><category>moats</category><author>Annika Vogel</author></item><item><title>Open vs. Closed in 2026</title><link>https://blackboxnotes.com/articles/07-open-vs-closed-in-2026/</link><guid isPermaLink="true">https://blackboxnotes.com/articles/07-open-vs-closed-in-2026/</guid><description>The open-versus-closed debate has been treated, for the last several years, as a politics question. By 2026 it is a procurement question. A note on what each side has done well, what each side has done badly, and what the actual decision is when the buyer is not a member of either tribe.</description><pubDate>Thu, 28 May 2026 00:00:00 GMT</pubDate><category>Notes</category><category>open-source</category><category>closed-source</category><category>procurement</category><author>Annika Vogel</author></item><item><title>NYT v. OpenAI — 20 Million Logs in Discovery</title><link>https://blackboxnotes.com/articles/14-nyt-openai-twenty-million-logs-discovery/</link><guid isPermaLink="true">https://blackboxnotes.com/articles/14-nyt-openai-twenty-million-logs-discovery/</guid><description>On January 5, 2026, Judge Sidney Stein affirmed a magistrate&apos;s order compelling OpenAI to produce twenty million anonymised ChatGPT logs into the New York Times&apos;s discovery in the Southern District of New York. Summary judgment is set for April 2026. A working note on what the ruling did, on what twenty million logs can and cannot reveal in litigation, and on the novel discovery-power implications for the entire generative AI category.</description><pubDate>Sat, 23 May 2026 00:00:00 GMT</pubDate><category>Notes</category><category>litigation</category><category>discovery</category><category>OpenAI</category><category>NYT</category><author>Tomás Esquivel</author></item><item><title>The $1.5 Billion Settlement — What Bartz v. Anthropic Means Going Forward</title><link>https://blackboxnotes.com/articles/13-bartz-anthropic-settlement-going-forward/</link><guid isPermaLink="true">https://blackboxnotes.com/articles/13-bartz-anthropic-settlement-going-forward/</guid><description>The largest publicly reported recovery in US copyright history settles a narrow legal question and opens a wider operational one. A working note on the Bartz ruling, the settlement structure, the unresolved fair-use line, and the precedent every AI lab is now operating under whether it admits to or not.</description><pubDate>Sat, 23 May 2026 00:00:00 GMT</pubDate><category>Notes</category><category>copyright</category><category>litigation</category><category>training-data</category><category>Anthropic</category><author>Annika Vogel</author></item><item><title>Why Auditability Is the New Differentiator in Agentic Stacks</title><link>https://blackboxnotes.com/articles/02-why-auditability-is-the-new-differentiator/</link><guid isPermaLink="true">https://blackboxnotes.com/articles/02-why-auditability-is-the-new-differentiator/</guid><description>For most of the AI cycle, the differentiator was capability. By 2026, in the agentic-system category specifically, it has shifted. The firms winning enterprise procurement reviews are the ones whose stacks can be read. A note on why, and on which operators are taking the position seriously.</description><pubDate>Fri, 15 May 2026 00:00:00 GMT</pubDate><category>Notes</category><category>procurement</category><category>differentiation</category><category>auditability</category><author>Annika Vogel</author></item></channel></rss>