Piezoid | 7 years ago | on: Dropping Acid
Piezoid's comments
Piezoid | 7 years ago | on: Ask HN: Did any Show HN posts turn into successful startups?
Paypal's post login page comes to mind.
I want to see the dashboard after login, not a uninformative ad that probably took time and money to put there.
Piezoid | 7 years ago | on: Ask HN: Did any Show HN posts turn into successful startups?
Sadly, 10 years later, they didn't respond to criticism about removing support for non-ext4-yet-xattr-enabled filesystems.
Piezoid | 7 years ago | on: CoreRT – A .NET Runtime for AOT
I think F# will be my next learning project. Still keeping an eye on Idris, though.
Piezoid | 7 years ago | on: AMD Reveals Threadripper 2: Up to 32 Cores, 250W, X399 Refresh
I will keep my dual X5690 machine for few more years I guess. The increase IPC of modern CPU is only 33% compared to theses old Xeons.
Although, power consumption is another factor to consider...
Piezoid | 8 years ago | on: Concorde ‘B’
Sometimes the "curse of dimensionality" is a good thing :)
Piezoid | 8 years ago | on: Gravitation water vortex power plant
You're right. The main selling point of both turbines is the axial flow: the velocity differences between the water and the blades are the same on every sides of the turbine. The shear forces are low enough to let wildlife pass through unharmed (supposing that it's not heavily torqued by a high electric loads).
Piezoid | 8 years ago | on: What Color is Your Function? (2015)
Facebook built Haxl[0], a library in Haskell, precisely for this use case: batching, caching and paralyzing requests against external sources.
Piezoid | 8 years ago | on: Tile: A New Language for Machine Learning
Domain Specific Languages are good thing for specialized applications. Here we want automatic differentiation, parallelization and vectorization.
It gets bad when general purpose language's features are added to allow things that the language wasn't designed for. A good interface to a GP language would be more relevant.
Piezoid | 8 years ago | on: Word vectors are awesome but you don’t need a neural network to find them
Random projections methods are cheaper alternatives to SVD. For example you can bin contexts with a hash function and count collocations between word and binned contexts the same way this article does. Then apply weighting and SVD if you really want the top n principal components.
What's nice with counting methods is that you can simply add matrices from different collections of documents.
page 3
They combine a minimal amount of monophonic signal nodes while providing quite a lot of possibilities. The Voltage Control IOs are a bridge to Modular Acquisition Systemic Syndrome :)