New AI is being trained to accurately predict the peoples time of death

[2 of Amerikaz most wanted]

A - chatGPT like al system called live2vec has been trained to accurately predict the lives of individuals as well as their risks of early death.

According to the independent, the al model was trained on the personal data of Dernmark 's population and was shown to predict the peoples chances of dying more accurately than any existing system, scientists from the Technical University of Dernmark (DTU) said.

In the study, the researchers analyzed the health and labour market data for 6 million Danes collected from 2008-2020, including the information from individuals education visit to doctors and hospitals, resulting diagnoses, income and occupation.

They found that this predictions were 11% more accurate than any other methods used by life insurance companies. Although they caution it not to be used for insurance purposes due to ethical concerns.

 

[bolivia]

Tumefikiwa

 

[Kadhi Mkuu 1]

Kule kwa wakinga wanamtupia kuku punje za mtama halafu wanahesabu idadi ya alizokuka ndo umri wako! Very simple.
Shida ipo asipokula hata moja.

 

[Numbisa]

Duh aiseee

 

[makaveli10]

Hapa itakuwa fix.. Labda sababu za mauti ni mengi, kuna ajali, kuuwawa, kujiua, watu wanakufa kwa sonona etc..

 

[digba sowey]

Mkuu hakukua na maana ya kuleta taarifa ya kingereza ili khali watumiaji wa jf 99% ni waswahili,kama ulishindwa kutafsiri mbona tuna teknolojia nyingi tu za kufanya swala hilo.

For Swahili audience"
chatGPT kama mfumo wa AI unaoitwa live2vec umefunzwa kwa usahihi kutabiri maisha ya watu binafsi pamoja na hatari zao za kifo mapema.

Kulingana na gazeti la Independent, mfano huu wa AI ulifunzwa kwa data ya kibinafsi ya idadi ya watu wa Denmark na ilionyesha uwezo wa kutabiri nafasi za watu kufa kwa usahihi zaidi kuliko mfumo wowote uliopo, kulingana na wanasayansi kutoka Chuo Kikuu cha Denmark (DTU).

Katika utafiti huo, watafiti walichambua data ya afya na soko la ajira kwa Wadani milioni 6 iliyokusanywa kutoka 2008-2020, ikiwa ni pamoja na habari kutoka kwa elimu ya watu binafsi, ziara kwa madaktari na hospitali, matokeo ya uchunguzi, kipato na kazi.

Waligundua kuwa utabiri huu ulikuwa sahihi kwa 11% zaidi kuliko njia nyingine yoyote iliyotumiwa na kampuni za bima ya maisha. Ingawa wanakumbusha kuwa haipaswi kutumiwa kwa madhumuni ya bima kwa sababu za maadili."