China’s foundation model market has completely changed! Today, the players on the table have become the “Top 5 Foundation Models” – Bytedance, Alibaba, Stepfun [阶跃星辰], Zhipu and DeepSeek. Where will the key winning point be in the next battle at the peak?
DeepSeek’s emergence from out of nowhere has completely changed the global AI situation.
From then on, not only has the competition pattern of large-scale models between China and the United States changed, but also the industrial landscape of domestic large-scale models has been broken in one swoop!
Looking at the market of large-scale foundation models in China, we can see that today’s foundation model landscape has changed dramatically and evolved into a new top five pattern –
Bytedance, Alibaba, Stepfun, Zhipu, and DeepSeek. — Read More
Daily Archives: May 19, 2025
OpenAlpha_Evolve
OpenAlpha_Evolve is an open-source Python framework inspired by the groundbreaking research on autonomous coding agents like DeepMind’s AlphaEvolve. It’s a regeneration of the core idea: an intelligent system that iteratively writes, tests, and improves code using Large Language Models (LLMs) like Google’s Gemini, guided by the principles of evolution. — Read More
Large Language Models Are More Persuasive Than Incentivized Human Persuaders
We directly compare the persuasion capabilities of a frontier large language model (LLM; Claude Sonnet 3.5) against incentivized human persuaders in an interactive, real-time conversational quiz setting. In this preregistered, large-scale incentivized experiment, participants (quiz takers) completed an online quiz where persuaders (either humans or LLMs) attempted to persuade quiz takers toward correct or incorrect answers. We find that LLM persuaders achieved significantly higher compliance with their directional persuasion attempts than incentivized human persuaders, demonstrating superior persuasive capabilities in both truthful (toward correct answers) and deceptive (toward incorrect answers) contexts. We also find that LLM persuaders significantly increased quiz takers’ accuracy, leading to higher earnings, when steering quiz takers toward correct answers, and significantly decreased their accuracy, leading to lower earnings, when steering them toward incorrect answers. Overall, our findings suggest that AI’s persuasion capabilities already exceed those of humans that have real-money bonuses tied to performance. Our findings of increasingly capable AI persuaders thus underscore the urgency of emerging alignment and governance frameworks. — Read More
Rick's Cafe AI 