SB-1047 Documentary: The Post-Mortem

By Michaël Trazzi @ 2025-08-01T21:44 (+60)

Below some meta-level / operational / fundraising thoughts around producing the SB-1047 Documentary I've just posted on Manifund (see previous Lesswrong / EAF posts on AI Governance lessons learned).

The SB-1047 Documentary took 27 weeks and $157k instead of my planned 6 weeks and $55k. Here's what I learned about documentary production

Total funding received: ~$143k ($119k from this grant, $4k from Ryan Kidd's regrant on another project, and $20k from the Future of Life Institute).

Total money spent: $157k

In terms of timeline, here is the rough breakdown month-per-month:
- Sep / October (production):  Filming of the Documentary. Manifund project is created.
- November (rough cut): I work with one editor to go through our entire footage and get a first rough cut of the documentary that was presented at The Curve.
- December-January (final cut - one editor): I interview multiple potential editors that would work on the final cut, and decide on one candidate who would be the one that does most of the editing (from December to February).
- February-March (final cut - 7 Full-Time Equivalents): I work with a total of 7 seasoned professionals (working full-time) to have a finished documentary by the end of March. This is the most capital intensive period of the post-production phase.
- April: We wait back to hear from multiple distributors about whether they would be interested in publishing the documentary on their platform. Multiple outlets show strong interest (New York Times Op-Docs or Wired) but the content of the documentary doesn't fit publication policies.
- May: The documentary is published on May 5th.

Breaking down how the money was spent:
- Editing was the largest part of the expenses, since I ended up paying for a total of 4 different editors, that have worked from November to March included. From February to March I had multiple editors working on the documentary in parallel.
- Motion graphics was the second largest item, with two people working on motion graphics in February and March
- In terms of music & sound, the documentary used custom music made by a composer, with some of the songs played by real instruments, but also required the work of a seasoned sound mixer, which is why this is the third most expensive item.
- The director salary ended up representing only ~9% of the total expenses, since I had originally planned to pay myself $15k for 10 weeks, but the project ended up taking ~27 weeks instead.

But why did the project end up taking 27 weeks instead of 6 weeks?


Short answer

I ended up getting more funding than I originally had asked for on Manifund, and had to hire many different professionals with that funding. Having to present something intermediary at the conference "The Curve" potentially slowed us down. And a lot of the steps had to happen one after the order, including all of the fundraising, hiring, multiple steps of post-production, on top of the distribution of phase where we had to wait to hear back from potential distributors. All of this considered made that the movie take ~5 months to be ready (and 6 months to be out) instead of 6 weeks.

Long answer 


Impact 

What I would do differently next-time


SummaryBot @ 2025-08-04T18:25 (+2)

Executive summary: In this reflective post, Michaël Trazzi shares an honest post-mortem of producing the SB-1047 Documentary, which significantly overran its original time and budget estimates, offering candid insights into the operational, staffing, and distribution challenges of independently creating a high-quality documentary on AI safety.

Key points:

  1. Timeline and budget overruns: The documentary took 27 weeks and cost $157k—more than 4x the planned 6 weeks and $55k—due to underestimating staffing needs and sequential delays across editing, fundraising, and distribution.
  2. Production and staffing complexity: Key bottlenecks included early staffing gaps, wildfires affecting the main editor, holiday slowdowns, and the need to redo work from an initial rushed draft created for The Curve conference.
  3. Post-production was resource-intensive: The largest expense was editing (~45% of the budget), followed by motion graphics and custom music/sound. Director salary represented only ~9% of costs due to timeline extensions.
  4. Distribution challenges: Despite interest from outlets like NYT Op-Docs and Wired, the documentary didn’t fit their editorial policies, leading to missed opportunities and a relatively modest YouTube performance (20k views, 2,500 hours watched).
  5. Lessons learned and future plans: Trazzi would now start with a fully assembled team, pre-secured distribution, more upfront marketing budget, and clearer pedagogical framing to appeal to a wider audience. He’s now submitting the film to festivals and exploring UK/US policymaker outreach.
  6. Impact and next steps: Though viewership fell short of expectations, the film was well-received by professionals and may still influence AI policy discussions if further distributed or used in political outreach contexts.

 

 

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