Everyone knows Murphy’s Law: “Anything that can go wrong, will.”
But there’s a flip side—Yhprum’s Law:
“Everything that can work, will.”
Sometimes systems succeed despite the odds.
Not because they’re perfect, but because humans adapt.
Chaos birth
IPL teams make losses on paper — and that’s the strategy.
They’re not failing. They’re marketing, building brand value, saving tax, and creating long-term fanbases.
It’s not a cricket game. It’s a business league.
𝗪𝗵𝘆 𝗶𝘀 𝗔𝗻𝘁𝗵𝗿𝗼𝗽𝗶𝗰 𝗺𝗼𝘃𝗶𝗻𝗴 𝘀𝗼 𝗳𝗮𝘀𝘁 𝗶𝗻 𝗔𝗜 𝗰𝗼𝗱𝗶𝗻𝗴?
Because their main customers are not everyday users — they’re big companies.
Unlike OpenAI, which focuses more on regular people (B2C),
Anthropic is focused on busine
Apple just exposed the truth behind so-called AI "reasoning" models like Claude, DeepSeek-R1, and o3-mini:
They’re not actually reasoning — they’re just really good at memorizing patterns.
Here’s what Apple found:
𝗧𝗵𝗶𝘀 𝗶𝘀 𝘅𝗔𝗜’𝘀 𝗼𝗳𝗳𝗶𝗰𝗲.
No fancy campus. No sleeping pods.
Just tents, whiteboards, and people obsessed with shipping.
They’re not chasing perks or clout.
They’re chasing AGI.
While most startups are busy with team dinners and cultur
" If you are a excellent PRODUCT MANAGER then you can be a good Entrepreneur as well " - Do You agree with this or not ( to Bare Minimum )
I guess Yes, because identifying flaws/problem and introducing new innovative features and solving issues in