token

On March 19th, according to Inner Business, the British CEO Wong In-hoon repeatedly referred to a concept at the previous GTC conference: Token. Huang In-hoon defined the future computer as "manufacturing equipment for the production of Token" and predicted that Token would become a fixed expense in the enterprise's budget, like laptops or software subscriptions. He said that engineers might get "Token budget" in the future to increase productivity and throw a very topical idea in the keynote speech: - To provide an engineer with a value equal to his annual salary..

On February 18, Anthropic released a new version of the size of the Sonnet model, continuing the company ' s four-month update. In the announcement of the new model, Anthropic highlighted its improvements in code capabilities, command compliance and computer operations. Sonet 4.6 will be the default model for free and Pro users. The sonet 4.6 test version will support the context window of 1 million tokens, which was previously the largest..

June 11th news, in today's volcano engine FORCE original power conference, Doubao big model 1.6 version officially released, and will use a new unified pricing model. According to the president of the volcano engine Tan to be introduced, Doubao big model 1.6 includes three big models, respectively, Doubao-Seed-1.6-thinking, Doubao-Seed-1.6, Doubao-Seed-1.6-flash, all of which support multi-modal input, and realize the 256K ultra-long context. Take thinking as a modal...

High-quality datasets are in urgent need of the entire network! According to reports, AI companies such as OpenAI and Anthropic are struggling to find enough information to train the next generation of artificial intelligence models. The problem of data shortage is becoming increasingly prominent and is crucial to training the next generation of powerful models. Faced with this challenge, AI startups and Internet giants have begun to look for new ways to solve the bottleneck problems of computing power and data. Source Note: The image is generated by AI, and the image is authorized by Midjourney. It is reported that the development of powerful systems such as GPT-5 requires a large amount of massive data as training materials, but high-quality public data…

Recently, ChatGPT unexpectedly lost control, and users reported receiving confusing and shocking replies, which sparked widespread discussion on social platforms such as Reddit and HN. OpenAI responded quickly, confirming that the problem originated from "token prediction" and said it had been successfully fixed. When ChatGPT users asked questions to the model, they suddenly found that its replies became illogical and even repeated in large sections. This abnormal phenomenon caused an uproar on social media, and users exposed the weirdest replies they had ever received, describing the model as insane. Social platforms…

At the DevDay event held by OpenAI in November last year, GPT-4 Turbo was launched, which supports up to 128,000 tokens: the input token price is one-third of that of GPT-4, and the output token price is half of that. OpenAI recently issued a press release announcing that the upper limit of GPT-4 Turbo has doubled, and can process up to 1.5 million tokens per minute (TPM), and the daily limit has been completely removed. In order to prevent abuse, OpenAI…