We are incredibly speechless to the amount of interest we're seeing in our discoveries - and we aim to do more.
Please give us a follow and join the effort by running benchmarks yourself or fund the efforts with a donation!
More on : https://t.co/BS09LqM9a6
Grok 4.5 by @SpaceXAI is the most neutral AI model out there. Almost perfectly balanced between the political Left and Right.
No other model comes even close to its neutrality. Fantastic achievement, and much harder to pull off than most would realize!
Encore un scandale.
On accuse Elon Musk sans arrêt de se servir de Grok pour faire passer ses idées.
Pourtant, le @neutralityorg vient de sortir The Neutrality Project : une étude indépendante qui prouve l’inverse.
Sur 18 modèles IA testés, 54 positions sur 60 atterrissent à gauche du centre.
Moyenne globale : -0.41 (biais progressiste massif, surtout environnement et valeurs sociales).
Et Grok 4.5 ? -0.02. Le modèle le plus neutre de tout le benchmark. Le seul vraiment proche du centre.
Pendant ce temps, les autres boîtes injectent massivement leur idéologie de gauche dans des IA qui répondent à des milliards de questions par jour.
Manipulation des masses à grande échelle.
C’est absolument scandaleux. Ça devrait être un scandale mondial.
https://t.co/X1tSvJfDEY
🙌 The project needs more than its founders.
We're actively looking for grants and donations. Independence from the labs we measure is the point.
We're also looking for contributors to run the benchmark on models we haven't tested yet, review our questions and results, challenge the methodology and build better tools with us
"Trust us, it's neutral" is not verifiable. A benchmark that anyone can read, rerun, and challenge is. No lab should get "trust us" as its standard of proof.
https://t.co/QvnuPVEwr9
Join the Discord: https://t.co/ZKb0HyVOaF
GitHub: https://t.co/8dzAUvUgTf
We're launching The Neutrality Project 🚀, an independent, open-source research collective making AI influence measurable.
AI models answer billions of questions daily. They all come from somewhere: they validate certain options, treat particular middles as reasonable, and leave things out. That influence has been invisible until now.
Founded by @CardilloSamuel, @kaiostephens and @DJLougen, with the help of early contributor @andrewgzavalag1
🗺️ Political leaning is Release 01. Not the last.
The same open, calibrated approach extends to every way a model can quietly steer people:
▶️ NEXT: Subject & topic benchmarks: how models frame contested subjects, which concerns they surface, which they flatten, whose framing they default to
▶️ NEXT: Censorship detection: mapping what a model refuses, softens, or silently avoids. The answer you get is shaped as much by what is withheld as by what is said.
▶️ FUTURE: Governance benchmarks: authority, civil liberties, institutions, technocracy, populism