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According to AIbase, OpenAI recently issued a statement through its official X newsroom account, firmly clarifying that the so-called "OpenAI token" sold by Robinhood is not equity or stock of the company, and explicitly stating that it has not collaborated with Robinhood, nor participated in or endorsed this token sale. This move is a response to Robinhood's previous announcement that it would sell tokenized stocks of private companies, including OpenAI, to EU residents.

Recently, a new AI model called "Quasar Alpha" quietly launched, attracting significant attention from the tech community and developers. Reportedly launched by an unnamed model lab, it's described as their first "stealth" model and a pre-release version of an upcoming long-context base model. Quasar Alpha quickly became a hot topic in the industry due to its impressive 1 million token context length, optimized encoding capabilities, and free and open access, pushing the boundaries of AI technology.

Google Research recently announced the innovative 'Titans' series model architecture, achieving a groundbreaking 2 million token context length through bionic design, with plans to open-source related technologies in the future. The core innovation of this architecture is the introduction of a Deep Neural Long-Term Memory Module, inspired by the human memory system. Titans cleverly combines the rapid response capability of short-term memory with the persistence characteristics of long-term memory, while utilizing an attention mechanism to handle immediate context, forming an efficient information processing system.

On December 18th, at the Volcano Engine FORCE Power Conference, Volcano Engine President Tan Dai unveiled the new Doubao Visual Understanding Model. This model processes both text and image-related information simultaneously, providing more accurate answers. The new model excels in content recognition, understanding, and reasoning capabilities, featuring more nuanced visual description abilities, which brings stronger intelligent processing capabilities to enterprise users. Tan Dai revealed at the conference that the Doubao Visual Understanding Model has achieved significant technological breakthroughs and has also seen a dramatic reduction in pricing.

In the current field of artificial intelligence, precise control over language models has become crucial for developers and data scientists. Anthropic's Claude language models provide users with numerous possibilities, but effectively managing token usage remains a challenge. To address this issue, Anthropic has launched a brand new token counting API aimed at providing deeper insights into token usage, thereby enhancing the efficiency and control of interactions with language models. Tokens play a role in language models.

Zhipu AI announced today that since being showcased at KDD 2024, its flagship language model GLM-4-Plus and the first dynamic video understanding model GLM-4V-Plus have received widespread recognition, achieving outstanding results on authoritative evaluation lists, breaking the monopoly of foreign models in the top three and positioning themselves at the international elite level.

Magic, a startup focused on generative AI programming, has announced the completion of $320 million in funding, bringing its total financing to nearly $465 million. This round of funding was led by former Google CEO Eric Schmidt, with participation from several well-known investors. Magic's core technology, the Long-Term Memory Network (LTM), can handle vast amounts of data and avoid bias when generating code. Its latest model, LTM-2-mini, can process 100 million tokens, equivalent to 10 million lines of code or 750 novels. In partnership with Google Cloud, it plans to establish two '

Google has launched the Gemini API's Gemini1.5Flash free plan, offering 1.5 billion free tokens every day, including 15 requests per minute, 1 million tokens per minute, and 1 million tokens per hour of context caching services, along with fully free tuning capabilities. This initiative aims to lower the barriers for developers to utilize AI technology, supporting the development of innovative applications. For small and medium-sized development teams, this will significantly reduce costs and provide convenience in R&D. This move is expected to attract more developers, driving growth.

Hugging Face and NVIDIA have launched an inference-as-a-service powered by NVIDIA's NIM technology, enhancing prototype development and efficient deployment of open-source AI models. This service notably supports robust models like Llama2 and Mistral AI, offering five times faster processing than traditional methods. Through NVIDIA DGX Cloud, developers can train models, and Hugging Face announced team profitability and expansion to 220 members, ....

Baidu Intelligent Cloud Qianfan announces the launch of a large model universal plan, allowing users to switch to the country's top large model platform at zero cost. Starting immediately, new registered enterprise users will receive: free access to the Wenxin flagship model for the first time, a 50 million Token package for the ERNIE 3.5 flagship model, and continuous free access to the main models ERNIE Speed, ERNIE Lite, and the lightweight model ERNIE Tiny.

The domestic artificial intelligence sector is witnessing new fluctuations as Zhipu AI announces a special migration plan for OpenAI API users, offering a massive token giveaway and comprehensive technical support to encourage developers to transition to its platform. This initiative not only showcases Zhipu AI's ambitions in the domestic AI market but also signifies potential changes in the global AI competitive landscape.

["Grok token price skyrocketed about 13,000% within nine days of its launch, but faced scrutiny from blockchain investigators who questioned the developers' involvement in failed projects.","Grok community members denied the allegations, claiming it was an improper attack on the project and urged continued investment in the token.","Grok developers burned over $1.7 million worth of tokens to boost community member confidence.","Despite this, Grok's market value suffered a setback on Monday, evaporating nearly $100 million.","Some Grok believers still firmly believe it is the 'next Shiba Inu', hoping for its rise."

The market cap of the token inspired by Musk's Grok AI has surpassed $160 million, joining the speculative frenzy with a 13,000% increase. There are 11,000 token holders, and the trading volume has reached $25 million. The GROK-USD trading pair has only $3.5 million in available liquidity.