Analysis of information sources in references of the Wikipedia article "OpenAI" in English language version.
OpenAI expected to lose around $5 billion last year on revenue of $3.7 billion
…Authors Guild said … the datasets likely contained "more than 100,000 published books" … central to its allegations that OpenAI used copyrighted materials to train AI models
{{cite web}}: CS1 maint: multiple names: authors list (link){{cite web}}: CS1 maint: multiple names: authors list (link)Microsoft's OpenAI supercomputer has 285,000 CPU cores, 10,000 GPUs. It's one of the five fastest systems in the world.
Built in collaboration with and exclusively for OpenAI
Why did OpenAI choose to release an API instead of open-sourcing the models?
There are three main reasons we did this. First, commercializing the technology helps us pay for our ongoing AI research, safety, and policy efforts. Second, many of the models underlying the API are very large, taking a lot of expertise to develop and deploy and making them very expensive to run. This makes it hard for anyone except larger companies to benefit from the underlying technology. We're hopeful that the API will make powerful AI systems more accessible to smaller businesses and organizations. Third, the API model allows us to more easily respond to misuse of the technology. Since it is hard to predict the downstream use cases of our models, it feels inherently safer to release them via an API and broaden access over time, rather than release an open source model where access cannot be adjusted if it turns out to have harmful applications.
Some at OpenAI believe Q* (pronounced Q-Star) could be a breakthrough in the startup's search for what's known as artificial general intelligence (AGI), one of the people told Reuters. OpenAI defines AGI as autonomous systems that surpass humans in most economically valuable tasks.
If you've ever wanted to try out OpenAI's vaunted machine learning toolset, it just got a lot easier. The company has released an API that lets developers call its AI tools in on "virtually any English language task."
Altman said they expect this decades-long project to surpass human intelligence.
Built in collaboration with and exclusively for OpenAI
Microsoft's OpenAI supercomputer has 285,000 CPU cores, 10,000 GPUs. It's one of the five fastest systems in the world.
Why did OpenAI choose to release an API instead of open-sourcing the models?
There are three main reasons we did this. First, commercializing the technology helps us pay for our ongoing AI research, safety, and policy efforts. Second, many of the models underlying the API are very large, taking a lot of expertise to develop and deploy and making them very expensive to run. This makes it hard for anyone except larger companies to benefit from the underlying technology. We're hopeful that the API will make powerful AI systems more accessible to smaller businesses and organizations. Third, the API model allows us to more easily respond to misuse of the technology. Since it is hard to predict the downstream use cases of our models, it feels inherently safer to release them via an API and broaden access over time, rather than release an open source model where access cannot be adjusted if it turns out to have harmful applications.
If you've ever wanted to try out OpenAI's vaunted machine learning toolset, it just got a lot easier. The company has released an API that lets developers call its AI tools in on "virtually any English language task."
Some at OpenAI believe Q* (pronounced Q-Star) could be a breakthrough in the startup's search for what's known as artificial general intelligence (AGI), one of the people told Reuters. OpenAI defines AGI as autonomous systems that surpass humans in most economically valuable tasks.
…Authors Guild said … the datasets likely contained "more than 100,000 published books" … central to its allegations that OpenAI used copyrighted materials to train AI models
Altman said they expect this decades-long project to surpass human intelligence.
OpenAI expected to lose around $5 billion last year on revenue of $3.7 billion