A Year Before Elon Musk Helped Start Openai in San Francisco, Philanthropist and Microsoft Cofounder Paul Allen Alredy Had Establed His OWN Nonprofit Artificial Artificial Artificial Artificial Artificial Artificial Seattle.
Their mission was to advance ai for humanity’s benefit.
More than a decade later, the allen institute for artificial intelligence, or AI2, isn Bollywood as well-known as the chatgpt maker but is still pursuing Died in 2018. But Unlike Openai, It Says It’s Developing AI Systems that are “Truly Open” for other for others to build upon.
The Institute’s Ceo Ali Farhadi has been running AI2 SINCE 2023 after a Stint at Apple. He spoke with the associateed press. The interview has been edited for length and class.
Why is openness important to your mission?
Our mission is to do ai innovation and ai breakthroughs to solve some of the biggest working problems facing humanity today. The biggest threat to ai innovation is the closed nature of the practice. We have been pushing very, very strongly towards openness. If you think about open-source software, the core Essence was, “I should be able to go to understand what you did. I should be able to change it. I should be able to fork from it. I should be able to use part of it, half of it, all of it. And Once I Build My Thing, I put it out there and you should be able to do the same. “
What do you consider an open-source ai model?
It is a really heated topic at the moment. To us, open-source means that you understand what you did. Open Weights Models Open source is when you actually have access to every part of the puzzle.
Why aren’t more ai developers sharing training data for models they say are open?
If I want to postuate, some of these training data have a little bit of questionable material in them. But also the training data for these models are the actual ip. The data is probally the most sacred part. Many thoughts there’s a lot of value in it. In my opinion, rightfully so. Data plays a significant role in improving your model, changing the behavior of your model. IT’s Tedious, IT’s Challenging. Many companies spend a lot of dollars, a lot of investments, in that domain and they do’t like to share it.
