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12-04-2024AI 20


WHY AI2 CEO ALI FARHADI BELIEVES THE FUTURE OF AI HAS TO BE OPEN SOURCE

The head of the Allen Institute for AI is acutely aware of the risks posed by
artificial intelligence, but insists secrecy is not the solution. 

[Photo: AI2]

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BY Janya Sundar3 minute read

AI researcher and industry insider Ali Farhadi doesn’t mince words when it comes
to open-source artificial intelligence: “Openness is the only way forward,” he
says.

Farhadi is a professor at the University of Washington as well as the CEO of the
Allen Institute for AI (AI2), one of the most active nonprofit AI research
institutes in the nation. The institute has three main areas of focus: Open
Ecosystem, empowering others with AI capabilities; AI for scientists, helping
them do their work by mitigating the information overload in the science
industries; and AI for the Planet, providing tools to protect the environment. 

AI2 has become a leading voice in the industry’s fierce debate over how open new
AI technology should be. Farhadi has shaped groundbreaking projects such as
foundational AI research (including the first iteration of a language model,
eLMo), and AI2 spin-off startup Xnor.ai (bought by Apple in 2020). 

Farhadi was a third year assistant professor at UW when AI2’s founder, Paul
Allen, called and asked him to join. Despite being advised to focus on securing
tenure at the time, he embraced the role. 

“It was such a unique opportunity that I had, I didn’t need to think twice. So I
jumped on it, and it’s been sort of a game changer in my career,” Farhadi says.
“In retrospect, this was the best decision I’ve ever made, not only to help my
tenure and my research, but also I’ve learned so much doing this that defined my
career.” 

Since joining AI2 in 2015, AI2’s startup incubator has sold two spin-off
companies: Kitt.ai was acquired by the Chinese search engine powerhouse Baidu in
2017; and Xnor.ai, which specialized in low-power, edge-based artificial
intelligence tools, was bought by Apple in 2020. The Xnor.ai deal was around
$200 million, and Farhadi actually left to join Apple for a stint. 

He came back as CEO of the Allen Institute in 2023 to advocate for an open
approach to AI. “It was an easy decision, and felt like going back home, but
also the timing was sort of critical, given how AI was evolving,” Farhadi says.




Under Farhadi’s leadership, AI2 launched OLMo, a series of open language models.
Unlike other proprietary models, which often operate behind limited APIs, OLMo
offers complete openness by releasing full model weights, training code,
training logs, training metrics in the form of Weights & Biases logs, and
inference code. 

Every model has publicly accessible code, weights, and 500-plus intermediate
checkpoints, supported by tools to trace back to the exact data that was used at
that point during training. Underpinning OLMo’s success is the Dolma data set.
Publicly available on Hugging Face, it contains a mix of web content, academic
publications, code, books, and encyclopedic materials.

AI2 released the latest version of oLMo, OLMo 1.7–7B, as well as its underlying
data set, Dolma 1.7, in April 2024. Now scoring a 52 on MMLU, the model sits
above Llama 2–7B, approaches Llama 2–13B, and outperforms Llama 2–13B on GSM8K. 

“To me, open source means I should be able to grab what you’ve developed,
understand it, change it, and build upon it,” Farhadi says. “Without that, we’re
crippling the potential of researchers and developers.”

Farhadi says he is acutely aware of the risks posed by AI, but he insists
secrecy is not the solution. “Having these black box solutions where people
don’t know much about it would only increase the chances of unintended damage,”
he adds. “The biggest problem with AI today is that we don’t fully understand
these systems. Opening them up allows millions of practitioners to participate
in solving those gaps.”

This story is part of AI 20, our monthlong series of profiles spotlighting the
most interesting technologists, entrepreneurs, corporate leaders, and creative
thinkers shaping the world of artificial intelligence.

The application deadline for Fast Company’s World Changing Ideas Awards is this
Friday, December 6, at 11:59 p.m. PT. Apply today.

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ABOUT THE AUTHOR

Janya Sundar is an editorial intern for Fast Company, where she writes about the
intersection of business, media, and technology. . She is currently a senior at
Northwestern University studying journalism, economics, and data science More

--------------------------------------------------------------------------------

EXPLORE TOPICS

 * Allen Institute for Artificial Intelligence
 * Artificial Intelligence

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