Lagu raya paling sedih dan sayu setakat ni masih dipegang oleh lagu 'Sepasang Kurung Biru'.. Kisah kerinduan terhadap seseorang yang sudah tiada di pagi raya..
Ditulis oleh lagenda Datuk Habsah Hassan tahun 1986 dulu.. Masih sedap didengar walau dah 40 tahun berlalu..๐๐ป
@thelast_demigod Istilah ni tak tepat digunakan sebagai caption, gunakan kalimah Allah dalam perbuatan manusia . Apa mesej yang nak disampaikan berkaitan dengan gambar? Lagipun, hadis ni hadis dhaif (lemah).
Today was my last day at my 9-to-5.
I quit my job to chase my dream of building my own SaaS.
From today Iโm living off savings and doing whatever it takes to make it work.
Wish me luck.
Buat fb ads, spent 1k = revenue RM 4-6k
Buat SEO, spent 0 = revenue RM 65k
Hahaaa. Baru kaaaawww
Bisnes - potong rumput & tebang pokok
Aku buat bisnes yang orang sangka benda tu tak boleh buat duit pon๐โโ๏ธ.
Nak tau caranya?
Baca sini
The layoff wave tells two stories, not one.
Tech giants like Amazon, Meta, and Microsoft are cutting to fund GPU purchases. Their revenues are growing. Their stock prices are climbing. They're firing people to free up cash for compute. This isn't cost-cutting during a downturn. It's a forced reallocation from payroll to datacenter capacity. The math is brutal: every percentage point of headcount reduction funds another batch of H100s.
Meanwhile, UPS, Nestle, Ford, and Target are cutting for the opposite reason. They've already deployed AI tools that work. Customer service automation, supply chain optimization, generative design systems. The productivity gains are real and compounding. These companies don't need to buy massive GPU clusters. They're renting inference from hyperscalers and cutting headcount because the math finally works.
Both sides are feeding the same beast. Tech companies are buying the shovels. Everyone else is buying the gold those shovels dig up. Semiconductor companies sit in the middle, collecting rent from the entire value chain. TSMC, NVIDIA, and ASML are printing money while employment craters on both ends.
The timing matters. We're at 10% enterprise AI adoption, heading toward 50%. History says this phase moves fastest and generates the most wealth. But that wealth is concentrating in compute, not labor. The gap between market cap growth and wage growth has never been wider. This isn't a recession. It's a rebalancing. And most workers are on the wrong side of it.