I’m gonna write a book on stats one day, and there will be an entire chapter on not being such a rule based hard ass and knowing when to commit a statistical sin in the name of getting an approximate answer to a precise question
Gradient descent/ascent can be inefficient to find saddle point (Nash equilibrium) for min-max games, because of spiralling behaviour. en.wikipedia.org/wiki/Nash_e…
Tip #1: when building models with the Functional API (keras.io/guides/functional_a…), you can use an intermediate output as entry point to define a new Model.
This is especially useful to create pairs of models where one includes preprocessing (e.g. for inference), and one does not.
The dumbest, most impotent idea of the 2010s and 2020s is the notion that you can fight disinformation with actual information. It's like fighting a forest fire by planting trees.
Everyone is so obsessed with accelerating neural nets, so as a fun side project I've been building this breadboard 8bit neural net decelerator. It will crawl at best :D. (following along the excellent Ben Eater 8-bit computer eater.net/8bit/)
Just a reminder that there is no such thing as data, only frozen models.
I’m not particularly encouraged by the models being frozen into these metrics.
Esoteric metrics based on analyzing extensive data about employee activities has been mostly the domain of fringe software vendors. Now it's built into MS 365.
A new feature to calculate 'productivity scores' turns Microsoft 365 into an full-fledged workplace surveillance tool:
Wanted: a group videoconference interface that includes a running "chess clock" indicating the proportion of the event time that each participant has talked.
New proposal for Turing Test in robotics: The Door Handle & Water Tub Test. The task is to achieve cat-level perception, reasoning, learning, manipulation, and dynamic planning under uncertainty.
I’ve hired a few people in my time.
I’ve never been disappointed by hiring someone who is less technical but is a great human who cares for others.
I can teach tech pretty easily.
But boy have I seen people who are strong technical people with toxic attitudes destroy a team.