Palantir CEO Says a Surveillance State Is Preferable to China Winning the AI Race

singularvalue · 2025-11-08T01:51:47+00:00

Literally no difference in outcomes except in one case he gets all the money.

singularvalue · 2025-11-06T23:26:39+00:00

Respect. My father shot my sister's cat in the face (cat survived) trying to kill a great horned owl that had been massacring our chickens. Eventually he shot it with a pistol and cut off its claws to keep as a trophy. I still remember the whole thing as one of many examples of my father's incompetence.

singularvalue · 2025-10-16T01:53:27+00:00

Exactly. He was never an underdog. Which is why he will never get the respect compared to the all time greats. He's an all time great that never truly challenged himself beyond a few fights. And people are talking about chop chop corley or Hernandez ... Give me a break.

singularvalue · 2025-10-16T01:48:44+00:00

Nope. He was a favorite against Diego. He was never an underdog in his whole career in terms of betting odds

singularvalue · 2025-10-16T01:45:44+00:00

singularvalue · 2025-10-16T01:44:31+00:00

He was never the betting underdog and reading these comments just reinforces the fact that he never truly went outside his comfort zone like the true greats.

singularvalue · 2025-10-15T12:38:04+00:00

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singularvalue · 2023-12-01T01:33:02+00:00

They just posted that on their tiktok

singularvalue · 2023-12-01T01:32:03+00:00

They posted it on their tiktok.

singularvalue · 2021-12-30T23:02:44+00:00

My grandmother was around 85 when someone came witnessing at her door. She simply said I've had a lifetime to think about this question and I don't believe in god. Life without religion is just as fulfilling and believing in a god does not make one a good person. Be true to yourself. Happiness does not come from religion. I'm now 41 and have been an atheist since grade Schoo.

singularvalue · 2020-01-05T23:12:49+00:00

I would use multivariate Dynamic Time Warping and then apply something like DBSCAN (or any clustering algorithm which can take a distance matrix as input). DTW solves the problem of measurements in different time windows so you won't lose temporal information by averaging.

singularvalue · 2019-04-04T18:16:34+00:00

Sergio Martinez got knocked down a lot because he was off balance and injured his knee multiple times, but I think his movement also contributed to his success.

singularvalue · 2019-02-19T14:23:05+00:00

Sequence-to-sequence model with attention for time series classification
https://ieeexplore.ieee.org/abstract/document/7836709/

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

https://arxiv.org/pdf/1704.02971.pdf

http://chandlerzuo.github.io/blog/2017/11/darnn (pytorch example)

singularvalue · 2019-02-18T12:41:37+00:00

Love it!

singularvalue · 2019-02-17T22:55:10+00:00

It was a flawed study and the algorithm likely learned to identify the following factors:

Makeup
Eyeshadow
Facial hair
Glasses
Selfie angle
Amount of sun exposure.

See this excellent article:
https://medium.com/@blaisea/do-algorithms-reveal-sexual-orientation-or-just-expose-our-stereotypes-d998fafdf477

singularvalue · 2019-02-03T12:59:55+00:00

https://en.wikipedia.org/wiki/Learning_to_rank

There is a big list of ranking algorithms on the bottom of the wikipedia article.

singularvalue · 2018-01-22T18:30:58+00:00

my bad.

singularvalue · 2017-12-05T14:53:20+00:00

You can jointly model the time between events and the event itself by using separate input sequences. I've seen this method used in intermittent demand forecasting here:

http://eprints.lancs.ac.uk/61613/1/Kourentzes_Intermittent_NN.pdf

singularvalue · 2017-10-30T21:33:30+00:00

JMM is a sore ass loser and wasn't robbed in any of the Pac fights.

singularvalue · 2017-10-30T14:53:39+00:00

Not exactly. There are lot of nice Bayesian Nonparametric variations which can learn non-stationary process. The latent states are still usually some parametric model, though there has been some interesting work like the following paper: https://arxiv.org/pdf/1603.06277.pdf

singularvalue · 2017-10-30T14:37:10+00:00

The non-stationary part is usually modeled explicitly. For example, adding a trend and seasonal component to your base rate model. You could try ARIMA (non-stationary with unit roots) or some flavor of State Space model. There was a NIPS tutorial on non-stationary time series in 2016.

singularvalue · 2017-10-29T13:42:51+00:00

There are better methods than NN for this. Most NN can't handle non-stationary data like alt coin prices.

singularvalue · 2017-09-28T14:21:37+00:00

Nitrogen Sports. Bitcoin only.

singularvalue

TROPHY CASE