Poseidon received $ 15 million from A16z Crypto seed financing to build a decentralized database designed for artificial intelligence.
The full AI data class for the full library based in San Francisco said it aims to address high quality scarcity, IP bullet -covered training data In the development of artificial intelligence, according to Tuesday’s announcement, I participated with Cointelegraph.
“LLMS and Compute are no longer suffocates, they are missing high -quality data,” said Sandep Xincheli, chief scientist in Poseidon and also artificial intelligence employees in his incubator.
He added: “Poseidon offers the real -organized real world data groups that AI’s teams need to create systems that actually lead to physical and complex environments.”
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Pipeline is decentralized for legal artificial intelligence training data
Poseidon solution is based on decentralized infrastructure to collect and distribute data sets that have been lawful for commercial use. The infrastructure of ONSAIN licenses from Story to ensure the susceptibility and enthusiasm, allows the data shareholders to pay for their work during their work. Protecting developers from IP risks.
The team argues as a central Data sources can not be met The increasing demand for specialized data groups with high context needed by artificial intelligence models of the next generation, especially in areas such as robots and spatial computing.
Chris Dixon, founder of A16z Crypto, described the project as a step towards a “new economic basis for the Internet”. He added that the model rewards creators and suppliers for “providing the various inputs that smart systems need from the next generation.”
Poseidon works with many artificial intelligence laboratories and plans to use financing to expand the infrastructure. This includes the launch of the shareholder units and the software development groups, licensing tools for developers and data suppliers. Early access is expected this summer.
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Poseidon to solve the dryness of artificial intelligence data
A16z Chris Dixon and Carar Woo analyzers said in a common note with Cointegraph.
They pointed out that easily accessible data groups, including books, websites, and public records, have been largely extracted, leaving artificial intelligence models to starved new, high -quality information and legally used.
The duo wrote: “The challenge is not only technical-it is the problem of coordination. Thousands of shareholders must work together in a distributed source of the source and maintenance of the physical data that the following intelligence needs.”
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They added that there is no central approach that can be organized efficiently the creation of the required data and treatment at the required level of size and diversity. And they said, “This decentralized approach can be resolved.”
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