
King's sneaker from Tekken 3 has been brought to life by R.E.T.R.O. Clothing
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King's sneaker from Tekken 3 has been brought to life by R.E.T.R.O. Clothing


In Sindh, people resisted Mughal rule. Yet foreign authors still view South Asia through a colonial mindset, praising some rulers while condemning others. A dictator should be called a dictator, no matter who they are.




This woman is from among the Dravidians, the ancient and earliest inhabitants of India 🇮🇳. These dark-skinned Indians are looked down upon by fair-skinned Indians. The name "Krishna" originates from the Sanskrit word Kṛṣṇa, which is primarily an adjective meaning "black", "dark", or "dark blue". This is the exact representation of Krishna and most deities. They are portrayed as jet black like this woman. They are hated so much that they receive no credence or coverage on any platform, not even on television news or movies.



New poster for Anthony Maras’ ‘PRESSURE’ has been released. In theaters May 29.

After 30+ years of signing windows drivers, we have been locked out of driver signing like many other companies. In a word, the disrespect and disregard with which MSFT is treating IHVs and ISVs is stunning. Don’t let anyone tell you it’s because we didn’t read our emails or submit the right verification paperwork. Cuz we did all that back in October. And this month, we were suddenly and without any warning locked out. Support said they’d “do their best” to let us know “within 90 days” if we’re good enough to get back on. In the meantime, many thousands of desktops and instruments are not being updated, cuz we can’t sign drivers. Awesome job, Microsoft. Thanks.


A point that is sometimes overlooked is that PDEs in physics and economics have a subtle but important difference. When a physicist solves the Schrödinger equation (see my slide below), the potential is given. The coefficients of the equation are part of the problem statement. You pick your grid, refine your mesh, and the equation never changes on you. Better numerics give a better approximation to a fixed target. In economics, this is not the case. Look at the Hamilton-Jacobi-Bellman equation for the neoclassical growth model (also slide below). The drift of capital depends on a derivative of the value function, the very object you are trying to solve for. The “coefficients” of the PDE are endogenous to the optimal choices of the agents. This is what @UncertainLars and Sargent referred to as the cross-equation restrictions implied by optimizing behavior. This is what @MahdiKahou and I call the “equilibrium loop”: improving your approximation changes the policy, which changes the dynamics, which changes where in the state space the economy spends its time, which changes where your approximation needs to be accurate. You are not chasing a fixed target with a better net. Moving the net moves the target. This has serious consequences for computation. You cannot just borrow neural network architectures from deep learning in the natural sciences. The loss function comes from equilibrium conditions, not from labeled data. The evaluation points are not given. Instead, they are regenerated each epoch from the current approximation. Ignoring it is why you often get solutions that look good on a training set but fall apart in simulation.

Says someone whose nation literally looted trillions from India during colonial rule.


@AishwaryakiRai Tea is fantastic is Islamabad
