Original Summary

yo this is my first post !!!! I been working a lot on quant stuff lately, & also been studying the graphs of industry's ai-agent stuff. I noticed one common point in those stuff is that we ourselves pushing the ai-agent's too fast than slow adaption; tho the research may have been quite an academic and long period but again like the delay happen because of hardware?!!!! I mean I dont know the reason being the hardware itself or it is something else cause Google was ready yeah if they push we pub our model. Again like I would like to really speak on the quant stuff that I came across is the Bayesian field the research work of thomas bayes, like this guy was really ahead of time and as I really question how can we implement his provided theory into self learning path than actually using the big data stuff. Till now the factors been really quite a massive for the ai industry and I guess the apple is the only company I believe is quite a smart one with the decision. as I kept on studying the bayesian stuff its quite easy in some way but again like difficult too. If you are a good programmer I mean I would love to translate his some of the work so that you can code it lol.

  • 情报分类：商业与市场研究
  • 分类依据：内容涉及商业、投资或市场动态
  • 信息来源：Hacker News 新项目
  • 发布时间：2026/9/23 22:44:27