Whichever house goes Rahu enters, it makes you overcompensate for the insecurities related to that house.

Rahu in 1st house: you overcompensate for your insecurities related to self.

Rahu in 2nd house: insecurities related to wealth, possessions, family values.

I got a Toshiba T1200, which has a bad screen, and a dead CMOS battery, and I thought the hard drive was broken too...

but I rebooted it and heard a KTHUNK and a really loud spin-up noise and holy shit, the hard drive works!

and it still has files on it. the newest date is January 1994.

It's a 21mb hard drive, with ~37k of bad sectors.

This fucker is never going to spin up again, so I better go find some serial cables and copy shit off now.

The backlight is fucked so I'm shining a flashlight on it.
without it, it looks like this.

Important paper from Google on large batch optimization. They do impressively careful experiments measuring # iterations needed to achieve target validation error at various batch sizes. The main "surprise" is the lack of surprises. [thread]

https://t.co/7QIx5CFdfJ

The paper is a good example of lots of elements of good experimental design. They validate their metric by showing lots of variants give consistent results. They tune hyperparamters separately for each condition, check that optimum isn't at the endpoints, and measure sensitivity.

They have separate experiments where the hold fixed # iterations and # epochs, which (as they explain) measure very different things. They avoid confounds, such as batch norm's artificial dependence between batch size and regularization strength.

When the experiments are done carefully enough, the results are remarkably consistent between different datasets and architectures. Qualitatively, MNIST behaves just like ImageNet.

Importantly, they don't find any evidence for a "sharp/flat optima" effect whereby better optimization leads to worse final results. They have a good discussion of experimental artifacts/confounds in past papers where such effects were reported.

Black movie goers know which movies are for us and which films aren’t. We really don’t like our stories being made into films that center (and humanize) people that hate us. The filmmakers/studio know that by naming the film “The Green Book”, black movie goers...

...are going to be expecting a story about black people trying to safely navigate the country (real history) and instead will get a white savior film. Like folks went to see Detroit thinking it was about the riots...

Anywhoo, I know Mahershela is fantastic in it. He was the best thing about the trailer. As rich as the history behind the creation of ‘The Green Book’ is/was, as amazing as Dr. Don Shirley’s story is, WHY is this film about a random, racist driver and his family?

This feeds into the ignorant anti-Black American stereotype of “Black Americans don’t have any culture/history/mythology” or whatever. That our stories are still both being used while simultaneously erased in 2018 is wild to me. It’s gonna clean up come award season. 🤦🏾‍♀️

And now, if black filmmakers WANTED to make a film about The Greenbook, guess what it can’t be called🙃. Just like if someone wanted to make a film about the actual Detroit riots, guess what it can’t be called? Then those filmmakers would run into...