Machine Learning Explainability Firm Anthropic Attracts $580M Investment
In their latest funding round, less than one year after being founded, Anthropic adds $580 million in funding to their bank account.
Created on April 29|Last edited on April 29
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Anthropic just closed a $580M funding round, less than a year after being founded by OpenAI VP of Research Dario Amodei
Anthropic focuses on what they call, "Steerable, Interpretable AI models."
The Problem With AI
One of the fundamental problems with AI is that it often operates in a black box.
This is to say, many models can produce amazing results, but how those results are produced from the inputs is often unknown.
Of course, understanding why a model comes to the decisions it does is critical in determining why unexpected things happen or even better, preventing them. One need only reflect back a few years to the Microsoft Tay debacle for an easy illustration on how important this is.
Enter Anthropic
Anthropic was founded in May 2021 (that's right, less than a year ago) with $124M to burn.
They've come far enough, it seems, to warrant a dramatic injection of fresh capital. But what's that money for?
As they describe it:
"With this fundraise, we’re going to explore the predictable scaling properties of machine learning systems, while closely examining the unpredictable ways in which capabilities and safety issues can emerge at-scale."
And how?
"The purpose of this research is to develop the technical components necessary to build large-scale models which have better implicit safeguards and require less after-training interventions, as well as to develop the tools necessary to further look inside these models to be confident that the safeguards actually work."
This will be increasigly important in the years to come as AI and machine learning become more complex and permeate more aspects of our lives in critical ways.
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