Under 3 months to Public Domain Day 2027. What 1931 work are you planning to use first?

On January 1, 2027, US works from 1931 finish their 95-year term and become free. A few big ones:

  • Frankenstein and Dracula (the 1931 Universal films)
  • City Lights (Chaplin)
  • M (Fritz Lang)
  • "As Time Goes By", the song. The famous Casablanca recording is from 1942, so that recording is still protected.

One thing I keep running into while researching these: the film going public domain doesn't free everything around it. The sequels stay protected until their own year comes, the "Universal Monsters" brand is a trademark that doesn't expire, and the restored Blu-rays and new scores you find online have their own rights.

I keep a free list of the 1931 film class (CC0), with the date each one becomes free and which ones have a catch: https://bitgitty.github.io/rightsatlas/entering-public-domain-2027/

What are you planning to make with them? Anyone already working on a Dracula or Frankenstein project?

reddit.com
u/BitBoy-Equivalent — 11 days ago

I built a free tool that shows the EVIDENCE behind "is this film public domain?" — layer by layer. What should I verify next?

I make classic-film videos, and I got tired of public-domain lists that give a

one-word "yes" with no sources — especially after learning how It's a Wonderful

Life got pulled *back* out of the public domain through its music and story

rights.

So I built RightsAtlas: every film gets a layered report (film print / music

score / underlying story / trademarks / restorations), each layer with its own

status and citations, plus working archive.org links. No green checkmarks

without proof — the site literally refuses to publish a "verified" claim

without a citation attached.

16 films so far (Night of the Living Dead, Charade, His Girl Friday, Metropolis,

Steamboat Willie…): https://bitgitty.github.io/rightsatlas/

It's free, no ads, no signup. I'd genuinely love this community's help:

**which films should I research next?** And if you have primary evidence

(renewal records, court docs) that contradicts anything — that's gold, tell me.

reddit.com
u/BitBoy-Equivalent — 3 months ago

How should we manage the wealth journey?

I don’t know where my money goes and whether I can reach my goals. So I ask around few ppl that I know and they have same thing as I do.

People know how much money they have left, but they don’t know where it went, whether they’re progressing toward goals, or whether they are making good financial decisions.

Any suggestions?

reddit.com
u/BitBoy-Equivalent — 3 months ago

Why would the price of AI going down during the biggest AI buildout in history?

A cautionary warning to investors regarding the sustainability of the current AI boom. while the market is currently optimistic, it is built on a narrative that may be fundamentally disconnected from economic reality.

The central arguments supporting this conclusion are:

• Unproven Business Models : Unlike traditional software, Al companies incur high, linear costs for every service provided, often resulting in massive financial losses without a clear path to profitability or measurable ROl.

• The Competitive Challenge from China: A critical threat to the US Al monopoly is the emergence of highly efficient, low-cost Chinese Al models. By using
'distillation' techniques, these competitors can offer nearly comparable performance at a fraction of the cost, undermining the premise that American companies will dominate global profits.

• The 'Follower' Mentality : The tech sector is described as a group of followers. The speaker believes that once the first major 'hyperscaler' decides to cut back on massive capital expenditures (capex) due to market pressure, a domino effect could trigger a broader industry correction.
Ultimately, Jikh suggests that the Al industry is currently exhibiting signs similar to past market bubbles. He advises viewers to monitor credit spreads, company earnings calls
for capex shifts, and shifts in token pricing as early indicators that the speculative bubble may finally be approaching a correction.

reddit.com
u/BitBoy-Equivalent — 3 months ago

The AI Bubble went too fast ?

A cautionary warning to investors regarding the sustainability of the current AI boom. while the market is currently optimistic, it is built on a narrative that may be fundamentally disconnected from economic reality.

The central arguments supporting this conclusion are:

• Unproven Business Models : Unlike traditional software, Al companies incur high, linear costs for every service provided, often resulting in massive financial losses without a clear path to profitability or measurable ROl.

• The Competitive Challenge from China: A critical threat to the US Al monopoly is the emergence of highly efficient, low-cost Chinese Al models. By using
'distillation' techniques, these competitors can offer nearly comparable performance at a fraction of the cost, undermining the premise that American companies will dominate global profits.

• The 'Follower' Mentality : The tech sector is described as a group of followers. The speaker believes that once the first major 'hyperscaler' decides to cut back on massive capital expenditures (capex) due to market pressure, a domino effect could trigger a broader industry correction.
Ultimately, Jikh suggests that the Al industry is currently exhibiting signs similar to past market bubbles. He advises viewers to monitor credit spreads, company earnings calls
for capex shifts, and shifts in token pricing as early indicators that the speculative bubble may finally be approaching a correction.

u/BitBoy-Equivalent — 3 months ago