As is already revealed with Meta leadership knowing that they make 7billion a year on scam ads. They even calculated that global regulations and fines might cost them 1 billion.

So fines and regulations are priced in as a fraction of the net earnings.

https://mashable.com/article/meta-7-billion-dollars-scam-ads

q.e.d.

> Never mind the fact that AIs of the LLM-variety haven't and aren't going to find solutions to mathematical problems.

This is empirically wrong as of early 2026.

Since Christmas 2025, 15 Erdos problems have been moved from "open" to "solved" on erdosproblems.com, 11 of them crediting AI models. Problems #397, #728, and #729 were solved by GPT-5.2 Pro generating original arguments (not literature lookups), formalized in Lean, and verified by Terence Tao himself. Problem #1026 was solved more or less autonomously by Harmonic's Aristotle model in Lean.

At IMO 2025, three separate systems (Gemini Deep Think, an OpenAI system, and Aristotle) independently achieved gold-medal performance, solving 5 of 6 problems.

DeepSeek-Prover-V2 hits 88.9% on MiniF2F-test. Top models solve 40% of postdoc-level problems on FrontierMath, up from 2%.

Tao's own assessment as of March 2026: AI is "ready for primetime" in math and theoretical physics because it "saves more time than it wastes."

You can disagree about where this is heading, but "haven't and aren't going to" doesn't survive contact with the data.

Disclosure: I'm on the Mautic leadership team — I lead the marketing team and recently joined the Council (our governance board).

Happy to answer any questions about the situation. A few things worth noting:

Our finances are fully transparent: monthly reports are public via Open Collective and our Open Startup Reports. The shortfall came from a small number of key members re-budgeting, not from declining usage. Mautic's install base is actually growing. We've already cut costs significantly (40% reduction in Project Lead hours, cancelled a developer hire, suspended events). The $140K essential budget covers codebase management, infrastructure, and trademark protection.

The broader question of how open-source projects that serve as critical infrastructure can sustain themselves financially is something I think about a lot. We're trying to be transparent about navigating it in real time.