Elon Musk turned down all shares when he left OpenAI because he believed nonprofits are not meant for self-enrichment.
"The reason I founded OpenAI was because I was concerned, based on my conversations with Larry Page, that he was not sufficiently concerned about the dangers of AI. At my birthday party, he, in front of a large group of people, called me a speciesist, for favoring humanity over computers. So after that, I was like, We got to have some counterbalance to Google, because Larry doesn't seem to care if humans make it or not.
So I thought, what's the opposite of Google? It would be an open source nonprofit, and that's where the word open, in OpenAI comes from. It means open source.
I provided all the money, recruited the key people, and taught them everything I know. I actually even got them to deal with Microsoft.
And for all that, I did not seek any financial reward whatsoever. The reason I actually took down the offer for shares is because, I mean, I felt like what are the shares, and why like nonprofits supposed to have shares? Nonprofits are not supposed to be self enrichment, so that's why I turned on the offer of shares."
— Elon Musk
A Leader that has not faced multiple assassination attempts…President Bukele of El Salvador…
When he was elected, he kicked out Soros, the Cartels and impeached the Corrupt Judiciaries.
He reduced the Crime Rate by 97% and has the HIGHEST approval rating in the World of 85%…
Video footage of the exact moment the BYD Yangwang u9 Xtreme reached a maximum speed of 496.22 km/h on the Track in Petersburg,Germany, officially beating the Bugatti Chiron super sport’s record as the world’s fastest production car
Met Prof. Gobardhan Das Ji this morning. His personal life journey is very inspiring. Every struggle he faced only strengthened his commitment to serve society and make it free from suffering. This has been reflected in his contribution to public health and immunology. His rich work and scholarship will enrich our policy-making architecture.
@dasgobardhan
.@OpenAI's latest model, GPT 5.5 shows a meaningful advancement across enterprise use cases.
We evaluated the model across complex enterprise tasks and saw a 10 percentage point lead in overall agent accuracy when compared to GPT 5.4.
The gains were especially strong on complex workflows:
→ Report drafting from data 81% vs. 76% (+5 points)
→ Expert review and verification 79% vs. 74% (+5)
→ Data analysis 78% vs. 61% (+17)
→ Due diligence 69% vs. 57% (+12)
The model showed particular strength on tasks that require sustained, multi-step reasoning over complex documents.
Read the full evaluation: https://t.co/8Sw2UPdFPX