The fired OpenAI CEO received a proposal from Charles Hoskinson to collaborate on a decentralized LLM project on Cardano.

The founder of the Cardano blockchain, Charles Hoskinson, has extended an invitation to Sam Altman, the recently ousted CEO of OpenAI – the team behind ChatGPT.

Hoskinson proposed a partnership on a decentralized Large Language Model (LLM) project. He reached out to Altman for the collaboration through a lighthearted post on the X platform.

“Sam Altman, since you have some free time now, if you are interested in doing a decentralized LLM, then hit me up,” Hoskinson remarked.

Sam @sama since you have some free time now. If you are interested in doing a decentralized LLM, then hit me up. Would be a fun Cardano Partnerchain

— Charles Hoskinson (@IOHK_Charles) November 18, 2023

Notably, the invitation from the Cardano founder comes barely 24 hours after the board of directors at OpenAI fired Altman.

The directors sent Altman packing for allegations of inconsistencies and intransparent communications. They claim to have lost confidence in his ability to lead OpenAI. As a result, the board has decided to part ways with Altman.

On the other hand, Hoskinson has seen Altman’s expertise in artificial intelligence as a valuable asset in advancing the development of decentralized LLMs.

Hoskinson and Altman Decentralized LLM Collab

In the invitation note to Altman, Hoskinson expressed a conviction that Cardano is an ideal platform for developing decentralized LLMs. Cardano is a blockchain-based platform designed to be secure, scalable, and sustainable.

Nevertheless, the nature of Hoskinson’s offer remains ambiguous, given the teasing tone of the tweet. It is unclear whether he was making a serious proposition or simply engaging in humor.

Decentralized LLMs

The unveiling of ChatGPT has marked the significant strides made in the capabilities of large language models in comprehending and processing human thoughts. However, experts have argued against the broad implementation of LLMs. They often cite concerns about data privacy, security, and computational resources.

Gareth Hinde, Solutions Architect at Swipe iX, recently raised that communications with centralized LLMs are prone to exposure, misuse, and breaches. Hinde noted the risks abound because models hosted centrally typically involve sending data to a central server for processing.

Meanwhile, the notion of decentralized LLMs has surfaced, potentially presenting keys for ensuring privacy, security, and optimal utilization. Specifically, the control of decentralized LLMs would be distributed across a network of computers, eliminating the reliance on a singular company or organization.

Emphatically, experts believe decentralized LLMs guarantee that sensitive data remains stored on users’ local devices.

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