Data Darwinism

I recently came across the idea of data Darwinism. Let’s unpack it. Darwinism is the hypothesis that only the fittest survive. Organisms evolve in ways that maximize their chances of survival, which explains why they are what they are today. Data Darwinism emerges from the age of AI. AI consumes vast amounts of data every day, but it must select the most representative data to present to us. Over time, peripheral or less common data gets pushed aside as AI increasingly relies on secondary, filtered layers of information. The danger, according to this hypothesis, is that human beings may eventually stop hearing scattered or minority voices, because machine learning systems decide to screen them out. That prospect is troubling.

Tôi gần đây bắt gặp một ý tưởng gọi là data Darwinism. Hãy cùng phân tích. Darwinism là giả thuyết cho rằng chỉ những kẻ thích nghi tốt nhất mới có thể tồn tại. Các sinh vật tiến hóa theo cách tối đa hóa khả năng sinh tồn, và đó là lý do chúng có hình dạng như ngày nay. Data Darwinism xuất hiện trong thời đại AI. AI tiêu thụ một lượng dữ liệu khổng lồ mỗi ngày, nhưng nó phải chọn ra những dữ liệu đại diện nhất để trình bày cho chúng ta. Theo thời gian, những dữ liệu ngoại biên hoặc ít phổ biến sẽ bị gạt bỏ, khi AI ngày càng dựa vào các lớp dữ liệu thứ cấp đã được lọc. Nguy cơ, theo giả thuyết này, là con người có thể sẽ ngừng nghe thấy những tiếng nói rải rác hoặc thiểu số, bởi vì hệ thống machine learning quyết định loại bỏ chúng. Viễn cảnh đó thật đáng lo ngại.

Baru-baru ini saya menemui satu idea yang dipanggil data Darwinism. Mari kita huraikan. Darwinism ialah hipotesis bahawa hanya yang paling sesuai akan terus hidup. Organisma berevolusi dengan cara yang memaksimumkan peluang untuk bertahan, dan inilah sebabnya mereka wujud dalam bentuk yang kita lihat hari ini. Data Darwinism muncul dalam era AI. AI memproses sejumlah besar data setiap hari, tetapi ia perlu memilih data yang paling mewakili untuk ditunjukkan kepada kita. Lama-kelamaan, data periferi atau kurang umum akan diketepikan apabila AI semakin bergantung pada lapisan data sekunder yang telah ditapis. Bahaya, menurut hipotesis ini, ialah manusia mungkin akhirnya berhenti mendengar suara-suara kecil atau minoriti, kerana sistem machine learning memutuskan untuk menyingkirkan mereka. Prospek itu amat membimbangkan.

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