<prompt> Hlalosa liphephetso tse peli tse ka sehloohong tse tobaneng le ho hlahisa bohlale bo akaretsang ba maiketsetso.nan  <response>: Instruction in English: Identify two key challenges faced in developing artificial general intelligence. . Response in English: Artificial general intelligence AGI refers to the development of machines that possess the ability to understand or learn any intellectual task that a human being can. AGI, often considered the ultimate goal of artificial intelligence, would allow machines to perform a wide range of cognitive tasks and improvise or adapt to new situations. Despite the tremendous progress in narrow forms of AI, such as language understanding, vision recognition, and game playing, achieving AGI remains an enormous scientific and technological challenge.Here are two key issues that researchers and developers face in creating AGI:1. Creating versatile learning algorithms: Current AI technologies excel in their ability to learn from data and perform specific tasks, such as recognizing objects in images or translating languages. However, these algorithms are limited in their capacity to transfer knowledge from one domain to another or apply knowledge to new situations. To achieve AGI, scientists need to develop learning algorithms that can adapt to a wide variety of tasks and learn from a significantly smaller amount of data.2. Understanding and simulating human intelligence: To create AGI, researchers need to have a better understanding of how human intelligence works, including cognitive processes such as reasoning, perception, concept formation, and problem-solving. Scientists have yet to crack the human brains code, and much of our cognitive abilities and thought processes remain poorly understood. Without a more complete model of human cognition, it will be difficult to create computational systems that can match or surpass human-level intelligence in all domains. . Response in Sesotho: Artificial General Intelligence AGI e bolela ntsetsopele ea mechini e nang le bokhoni ba ho utloisisa kapa ho ithuta mosebetsi ofe kapa ofe oa kelello oo motho a ka o etsang. AGI, e atisang ho nkoa e le sepheo sa ho qetela sa bohlale ba maiketsetso, e ne e tla lumella mechine ho etsa mesebetsi e mengata ea kelello le ho ntlafatsa kapa ho ikamahanya le maemo a macha. Leha ho na le tsoelo-pele e kholo mekhoeng e moqotetsane ea AI, joalo ka kutloisiso ea puo, temoho ea pono, le ho bapala papali, ho fihlela AGI e ntse e le phephetso e kholo ea saense le thekenoloji. Mona ke lintlha tse peli tsa bohlokoa tseo bafuputsi le bahlahisi ba tobaneng le tsona ha ba theha AGI: 1. Ho theha mekhoa ea ho ithuta e fapaneng: Theknoloji ea hona joale ea AI e ipabola ka bokhoni ba bona ba ho ithuta ho tsoa ho data le ho etsa mesebetsi e itseng, joalo ka ho lemoha lintho tse litšoantšong kapa ho fetolela lipuo. Leha ho le joalo, li-algorithms tsena li na le moeli oa bokhoni ba tsona ba ho fetisetsa tsebo ho tloha sebakeng se seng ho ea ho se seng kapa ho sebelisa tsebo maemong a macha. Ho fihlela AGI, bo-ramahlale ba hloka ho theha li-algorithms tsa ho ithuta tse ka ikamahanyang le mesebetsi e mengata e fapaneng le ho ithuta ho tsoa palo e nyane haholo ea data. 2. Ho utloisisa le ho etsisa bohlale ba batho: Ho theha AGI, bafuputsi ba lokela ho utloisisa hamolemo kamoo bohlale ba motho bo sebetsang kateng, ho kenyelletsa le mekhoa ea kutloisiso e kang ho beha mabaka, maikutlo, ho theha maikutlo le ho rarolla mathata. Bo-rasaense ba ntse ba e-so qhekelle melao-motheo ea boko ba motho, me boholo ba bokhoni ba rona ba ho nahana le menahano ea rona e ntse e sa utloisisoe hantle. Ntle le mohlala o felletseng haholoanyane oa temoho ea motho, ho tla ba thata ho theha litsamaiso tsa khomphutha tse ka bapisang kapa tsa feta bohlale ba boemo ba motho libakeng tsohle. 