The high cost of using large AI models is a major reason why many AI applications have not yet been implemented and promoted. Choosing extreme performance means huge computing power costs, which leads to high usage costs that ordinary users cannot accept. The competition for large AI models is like a war without smoke. After…
The Google Gemini 2.0 family is finally complete! It dominates the charts as soon as it is released. Amidst the pursuit and blockades of Deepseek, Qwen and o3, Google released three models in one go early this morning: Gemini 2.0 Pro, Gemini 2.0 Flash and Gemini 2.0 Flash-Lite. On the large model LMSYS rankings, Gemini…
Highlights AI Agent reshapes the customer experience Jesse Zhang: How is an Agent actually constructed? Our view is that over time, it will become more and more like a natural language-based Agent because that is how the large language models (LLMs) are trained. In the long term, if you have a super intelligent agent that…
Highlights Competition with DeepSeek is good for the US Cathie Wood: I think it shows that the cost of innovation is falling dramatically, and that this trend has already started. For example, before DeepSeek, the cost of training artificial intelligence fell by 75% per year, and the cost of inference even fell by 85% to…
The story of Gemini 2.0 is accelerating. The Flash Thinking Experimental version in December brought developers a working model with low latency and high performance. Earlier this year, 2.0 Flash Thinking Experimental was updated in the Google AI Studio to further improve performance by combining the speed of Flash with enhanced inference capabilities. Last week,…
Just now, another domestic model was added to the Big Model Arena list from Ali, Qwen2.5-Max, which surpassed DeepSeek-V3 and ranked seventh in the overall rankings with a total score of 1332. It also surpassed models such as Claude 3.5 Sonnet and Llama 3.1 405B in one fell swoop. In particular, it excels in programming…
Breaking news! DeepSeek researcher reveals online: R1 training only took two to three weeks, and a powerful evolution of R1 zero was observed during the Chinese New Year holiday Just now, we noticed that DeepSeek researcher Daya Guo responded to netizens’ questions about DeepSeek R1 and the company’s plans going forward. We can only say…
DeepSeek R1 won the championship in the creative short story writing benchmark test, successfully surpassing the previous dominant player Claude 3.5 Sonnet! Benchmark test The benchmark test designed by researcher Lech Mazur is not your average writing competition. Each AI model was required to complete 500 short stories, and each story had to cleverly incorporate…
In the future, there will be more and more hardcore innovation. It may not be easy to understand now, because the entire social group needs to be educated by facts. When this society allows people who innovate hardcore to succeed, the collective mindset will change. We just need a bunch of facts and a process….
After OpenAI released the o3-mini model, its CEO Sam Altman, Chief Research Officer Mark Chen, Chief Product Officer Kevin Weil; Vice President of Engineering Srinivas Narayanan, Head of API Research Michelle Pokrass, and Head of Research Hongyu Ren, conducted an online technical Q&A on reddit, one of the world’s largest comprehensive forums. The main topics…
