Search Results for: LLaMa

“Meta’s new tool, ‘Code Llama’, offers a community-licensed AI meant for generating and discussing computer coding. This platform could prove critical for businesses and individuals, including bot developers and crypto exchanges. However, it also prompts questions around neutrality and US SEC scrutiny, especially as it signifies a move towards blockchain and crypto project decentralization.”

Alibaba has disclosed two novel open-sourced AI models, Qwen-7B and Qwen-7B-Chat, aiming to enrich AI operations. These models support the academia, researchers, and commercial institutions, offering code, model weights, and documentation access. However, large corporations need a license for use.

“Alibaba, the first Chinese company to use Meta’s AI model Llama, signals a shift to zero-cost development programs. It raises questions about ties between China and Meta, and highlights complexities in the evolving landscape of AI adoption and open-source model integration. The role of such technologies in shaping our world remains to be seen.”

U.S senators raise concerns over Meta’s large language model (LLaMA) potential misuse in harmful activities, questioning Meta’s risk assessment and preventive steps. LLaMA’s leak increased accessibility to high-quality AI models, prompting scrutiny on the balance between innovation and risk.

Saudi Arabia and China are collaborating to create AceGPT, an Arabic-based AI system designed for Arabic queries. Despite its potential, concerns arise over misuse of sensitive information and neglect of safety checks. Meanwhile, the blockchain Industry Recovery Initiative receives criticism for lack of funding transparency amid falling crypto venture funding.

Meta’s CEO, Mark Zuckerberg, highlighted the crucial role of AI in the development of the metaverse during a recent interview. By leveraging technology that integrates VR/AR and AI, Zuckerberg aims to establish Meta’s dominance in the 3D immersive metaverse. Despite financial setbacks, he remains committed to the metaverse vision, betting on Llama 2’s technology integration with Meta AI as their unique competitive edge.

Friend.tech, a decentralized social network built on Coinbase’s Base and linked to Twitter, is gaining traction with almost ETH 11,000 in protocol fees. It currently ranks third in 24-hour fees, surpassing established platforms like OpenSea, Tron, and layer-1 & layer-2 giants such as Uniswap, Bitcoin, and MetaMask.

Coinbase’s layer-2 network, Base, has surpassed Solana in total value locked (TVL), with a significant 97.21% surge. This increase is majorly driven by decentralized exchange Aerodrome Finance and decentralized social media app Friend.tech. With legislative changes and regulatory scrutiny in play, Base’s future prominence in the crypto world remains uncertain.

“Lido, a significant player in the Ether staking landscape, collaborates with projects from the Cosmos blockchain ecosystem, indicating growing interest in liquid staking. With $16 billion in derivatives, liquid staking has become a major strategy for digital asset investors, providing inter-chain transaction opportunities and increased liquidity while also raising concerns about centralization.”

Decentralized exchange Sushi is extending its services to non-Ethereum Virtual Machine compatible blockchain, Aptos, marking a major development. This strategic move could potentially attract fresh capital towards Aptos while enhancing cross-chain trading experiences and opening up new possibilities for liquidity across major blockchain networks.

“Meta plans to develop an advanced AI model, potentially surpassing OpenAI systems. However, concerns arise around data center construction, chip supply, and ethical issues. Interestingly, AI and crypto’s convergence could pave the path to a tech-advanced future, but with challenges.”

Researchers at Humboldt-Universität zu Berlin have developed an AI model, ‘OpinionGPT’, trained on Reddit data to reflect bias from certain demographic groups. However, the model encounters criticism for its questionable accuracy in representing real-world biases, indicating a representation of Reddit stereotypes rather than wider demographic sentiment.

“Baidu, China’s tech powerhouse, has released over 70 AI models with over 1 billion parameters each. Recent models show up to a 50% improvement in efficiency. However, the rapid expansion of AI technology raises concerns about misuse and privacy.”

Aerodrome, a collaboration between Velodrome and Base developers, raised $150 million less than a day after being released on Base. With the goal of replicating Velodrome’s success, Aerodrome offers AERO tokens to users who provide liquidity, conduct token swaps or participate in governance.

“Velodrome has launched Aerodrome, a decentralized exchange (DEX) for Coinbase’s layer 2 blockchain, Base, aiming to deliver low fees and minimal slippage. This marks the start of the DeFi era on Base, stressing on transparency and rewarding users via airdrops of governance token, AERO. Despite facing challenges in a high-competition market, it signals ongoing innovation in DeFi.”

“Base, a layer 2 blockchain, surprisingly outperforms Ethereum with an unprecedented average of 15.88 TPS. Friend.tech powered investor surge, despite potential regulatory hurdles, contributed to Base’s astonishing 156% growth. This fast-paced development, however, raises concerns about potential scalability issues.”

“Friend.tech, a Twitter-associated blockchain application recently outperformed several large-scale projects by marking a revenue of $840,889 over a 24-hour cycle. Within 30 days post-launch, its cumulative revenue ascended to $2.95 million. The app tokenizes crypto personalities on Twitter, enabling users to buy and sell ‘shares’ of these individuals.”

“In the blockchain sector, privacy and security are essential. However, the release of a list of crypto wallet addresses connected to Friend.tech users on a GitHub repository stirred controversial discussion. The concern arises from the potential of viewing blockchain transactions linked to those wallets. As the blockchain technology continues to infiltrate social platforms, users should remain wary of the risks associated with data visibility.”

Friend.tech, a social tokenization protocol, shows promising revenue generation within the crypto sphere. With Friend.tech, personalities can issue shares for exclusive group chats, amassing around $709,000 in ether revenue in a day. Besides its appealing growth, the platform raises questions regarding over-economic focus and regulatory oversight.