Alibaba’s AI Rivals Meta’s Llama 2: Unpacking the Open Source Drama and Consequences on DeFi

Early dawn scene, painted in a Van Gogh inspired impressionistic style. In the center, two powerful digital entities depicted as an eastern dragon and a western llama, locked in heated competition. In the background, looming skyscrapers of numbers and code, signify small to medium-sized corporations, as well as major tech companies. A landscape unfurling beneath them, a constant shifting pattern of technicolor networks, indicating the fluctuations and turbulence of DeFi. The mood conveys the tangible tension between innovation and risk management.

In the exciting realm of AI, open-source models have turned a new leaf, as observed from the recent launches by the popular tech conglomerate, Alibaba. The Chinese tech and e-commerce behemoth disclosed two novel open-sourced AI, Qwen-7B and Qwen-7B-Chat, to compete against Meta’s recently released Llama 2.

Targeted at small to medium-sized companies, these new releases from Alibaba promise to revolutionize AI operations with their offerings. Qwen-7B and Qwen-7B-Chat come equipped with functionalities that attract academia, researchers, and commercial institutions worldwide, offering code, model weights, and documentation access. This marks the first instance of a Chinese tech company releasing open-sourced LLMs.

However, there’s a sting in the tale – organizations with monthly active users exceeding 100 million will need a license. This caveat points to an underlying friction between open-source accessibility and the proprietary regulation required for larger organizations. Profit may be a motivator, but at the risk of exclusive access.

This rivalry gained traction when Meta released Llama 2, an open-sourced LLM developed in collaboration with Microsoft. Eclipsing its predecessor, Llama 2 was trained using 40% more public data and handled twice the volume of context. Here lies another similarity with Alibaba’s newest iteration – Llama 2 also necessitates a license for corporate users with over 700 million users.

Meanwhile, the AI discourse took a roll in the arena of decentralized finance. Curating controversy, Aave Chan founder proposed buying $2M CRV from the Curve founder. The strategy was interpreted with skepticism by part of the community who perceived it as increasing exposure to risky CRV. Supporters of the proposal claimed it could help de-risk the current CRV over leverage and bolster the growth of GHO stablecoin, revealing an intricate tug of war between perceived risk and strategic advantage.

Another intrigue unraveling in the DeFi sphere were the outstanding loans of the Curve founder, who has a leaning tower of more than $100 million from various lending protocols. His CRV is at risk of liquidation if the price falls to around $0.32 from the current $0.59, prompting a selling spree, revealing the inherent volatility in the DeFi space.

In essence, these developments point to the intricate dance between advancements in AI and DeFi, tempering the excitement over technological strides with the sobering practicality of risk management. Achieving equilibrium between technology’s promise and the necessary regulatory conditions reveals an ongoing narrative in the domain.

Source: Cointelegraph

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