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CONSEQUENCES OF HOLDING PROPERTY

CONSEQUENCES OF HOLDING PROPERTY Gus War message م من إنسان أمسك ولم ينفق في سبيل الله، فسلّط الله على ماله آفات في نف God willing رجل ببدنه God willing ّع الله له فيالرزق.  _There is a valid report from the Prophet sallallaahu'alaihi wasallam that he said, *"Almsgiving will not reduce wealth."*_ _How many people do not want to spend in the way of Allah, then Allah sends a disaster to their wealth, such as lost, burned, stolen, and the like._ _Or Allah sends down a misfortune to the owner, either to himself or his family so that it requires a lot of wealth to eliminate it._ _You often find people who give alms and charity even though they themselves are in need, then Allah gives them ample sustenance."_ ~Hukama  Tafsir Al Baqarah (3/204) مَا مِنْ يَوْمٍ يُصْبِحُ الْعِبَادُ فِيهِ إِلاَّ مَلَكَانِ يَنْز ِلاَنِ فَيَقُولُ أَحَدُهُمَا اللَّهُمَّ أَعْطِ مُنْفِقًا خَلَفًا ، وَيَقُولُ الآخَرُ اللَّهُمَّ أَعْطِ مُمْسِكًا تَلَفًا There will never come a day when a

"Shortcuts in AI: The Consequences of Data-Driven Decision Making"

"Shortcuts in AI: The Consequences of Data-Driven Decision Making" — Undefined Trio In the late 1980s, AI researchers were faced with a challenge: they were struggling to program machines to emulate human-like reasoning and language comprehension. The solution they found was to shift focus from trying to mimic human intelligence to leveraging statistical patterns in data for decision-making. This transition marked a significant shortcut in AI development. It eliminated the need for machines to understand complex phenomena like language. Instead, machines could predict outcomes based on patterns in data, much like an auto-complete feature predicting the next word in a sentence without understanding the context. Frederick Jelinek of IBM was a significant proponent of this approach, pioneering the development of "statistical language models," precursors to today's GPTs. But this transition also introduced new challenges, like sourcing sufficient data fo