strin

What about search inside enterprise?

This is a place where there are tons of unstructured data: emails, slack, atlassian, code base. Search seems like a useful tool for employees. Permission control is another essential feature.

This sounds like humans are born to be enemies of nature as they inevitably reshapes what nature looks like. But humans are part of nature, and the symbiosis of human and environments led to the co-existence of beauty and ugliness today.

However, I do think Terraforming Mars could be a bad idea. Technology-wise it is unclear it's easier than transforming human ourselves (say cybernetics).

This is why computer security industry exists.

Neural Engine = General Matrix Multiplier?

Given a shortage of supply for a job, firing early might not be a good idea. It takes months or even years to find an appropriate good fit for a job.

Sometimes it's easier to just give the person another chance, than to fire him and have no one to do the work.

Prior is in some sense the fruit of data.

Humans develop prior by accumulating experiences. Laws of physics are discovered through experimentation and introspection over many data points.

So what we really need is a life-long learner - a machine learning algorithm that could extract knowledge from many tasks and store that in its long-term memory. The fact that we don't have an architecture for long-term memory is the main road blocker towards this goal.

How does this compared to WYSIWYG editors?

Not surprising.

However, I am not buying the claim that the algorithm is going to transform many other domains:

" The system could help optimize power grids, he says, or streamline shipping routes, or refine scientific research."

by Wired https://www.wired.com/2017/05/googles-alphago-levels-board-g...

The main concern is data efficiency. AlphaGo essentially baked good movies into value and policy network by playing millions of times. In reality, unless you have a really good simulator, deep reinforcement learning is almost never applicable.

This has something to do with organizations being flat.

In a monolithic top-down hierarchical organization, employees are expected to conform. So attire rules reflects the culture where management and top-down decision making is common.

In a flat organization, decentralized decision making happens more often. So the culture might shift towards encouraging individual differences and more freedom in work style, including casual attire.

The link is not working for me now.

The ultimate goal of deep learning is to remove the need to transform input.

The traditional computer vision pipeline works like this: you preprocess the image, featurize it with features like SIFT, and then run an SVM classifier. However, this pipeline is totally beaten by end-to-end neural networks.

Same will hold true for other domains. As long as we've discovered the right architecture, aka. the family for f(x), learning still boils down to training your models.

So this is a marketplace for "meta-apps" - apps that run on codebases.

I am concerned if in the future Github will add private repos to the marketplace. Making this move will discourage people from sharing code freely.

AKA shipped by air?

True. Vertical Take-Off and Landing (VTOL) takes about 6 times the energy as much as flying with a wing. Companies are racing to add VTOL to winged aircrafts: https://lilium.com/.

I wonder how they could compete against Google, Amazon, Microsoft and Nvidia in the cloud space.

Seems getting involved in pure GPU/CPU cost war is not a wise choice for a small startup.

I put code, data and other files on trusted cloud services like Dropbox or Google Drive. I also make a copy on a external hard drive in case any of these cloud services go down one day. A README.md is the essential index to organize the files.

Love the vision of neutrality, but it feels disheartening that net neutrality has been broken with increasing number of platform companies.

Google's algorithm decide which content show up in search results, and Facebook's ranking model determines the news you will see.

Same wth app store, only apps that fit the "Apple philosophy" can get approved.

Since most of our times on internet nowadays are spent on platforms, it turns out unconsciously we've already lived in a "closed internet".