Predicting the #Oscars with AI is easy.
Building the data foundation that lets anyone (human or agent) explore the data, generate models, and test hypotheses is harder.
I built a layered knowledge graph to do exactly that.
Blog 👇
medium.com/@stevehedden...
Repo 👇
github.com/SteveHedden/...
Supporting Actress is one of the most structurally interesting @sagaftra.org races this year.
Golden Globe → Teyana Taylor
BAFTA → Wunmi Mosaku
In past split years, SAG doesn’t reliably mirror BAFTA.
My model gives Taylor a 37% chance — no clear favorite.
Ceremony Mar 1.
My model gives Timothée Chalamet a 38% chance to win
@sagaftra.org. Kalshi has him at 63%. @bafta.org is usually strongest signal but this year's winner isn't in the SAG race. What's left? The Golden Globe, which went to Timmy. Ceremony Mar 1.
github.com/SteveHedden/...
Giving Jessie Buckley a 76 percent chance of winning the SAG for best actress next week. Driven by her Golden Globe win, and Hamnet's IMDb rating. Hurt by lower profitability, weaker critical reception than OBAA, and fewer festival awards.
@sagaftra.org
Went 5/10 on my @bafta.org model predictions. Not bad — but tuning needed before #Oscars
Correct:
🎬 OBAA (Film)
🎥 PTA (Director)
👩 Jessie Buckley (Actress)
✍️ Adapted Screenplay (OBAA)
📷 Cinematography (OBAA)
Repo + model outputs 👇
github.com/SteveHedden/...
