meeper16

Understanding how the brain works is very helpful as well.

It's one of the most transparent newsletters I've seen in a while.

What's the company name?

What we now need is a real AI engine.

The hallmark of a good product is whether or not the founder, founding team, board and few key shareholders are using the product. I'd like to hear more about this.

More tools for ML financial prediction

http://52.11.211.67/recommend/app/hidden_connections?query=h...

http://52.11.211.67/recommend/historical-trends/index-contra...

Why did science reject women in the past as if it was scientific to do so?

Time to go back to Tcl.

The DEA + RIAA = DEARIAA

This is exactly why facebook will fail.

Google's is 100x facebooks

> Proprietary algorithms can help, but they are secondary in importance to the data sets themselves.

This is flat wrong. No algo, no intelligence or synthetic congnition

> The dramatic rise of Google provides a glimpse into what this kind of privileged access can enable. What allowed Google to rapidly take over the search market was not primarily its PageRank algorithm or clean interface, but these factors in combination with its early access to the data sets of AOL and Yahoo, which enabled it to train PageRank on the best available data on the planet and become substantially better at determining search relevance than any other product.

This is so wrong on so many fronts. A) They has open access to the web just like DMOZ and Yahoo and many others via crawling systems. B) They were attractive to software engineers who in turn made their IT depts in large corps switch to Google as the default search engine C) They stole the ad matching algo from Bill Gross which in turn made them successful. E) too many other factors to list

Lets also not forget that PageRank was a variant of an early link analysis algo that had been around a while.

I'm working on a auto-tagging JSON API that might be helpful here.

There's that balance between readability and being able to operate in highly nested structures and for loops while all kinds of matrix multiplication in AI/ML for example. Minimizing wrapping is important here and you do with 4 spaces, not 8.

I remember it beginning with a company called SeeqPod, those were the days!

First AOL, then geocities, friendster, myspace, facebook and now ad tech...

We should be calling these something different now.

You fell in love with La Femme Nikita (1990)

Apple does not save lives. Neither does their watch.

Here it is https://www.youtube.com/watch?v=YCxFGxqLsHE

Be Chinese.

Facebook is a disease on the net, the next aol.

This is awesome. Facebook needs to go to the graveyard with friendster, myspace and AOL.

The NSA will not allow something to be unclassified that is valuable. The purpose of declassifying this document is likely connected to deception.

Well said. The difference between facebook, the new friendster/AOL is night and day compared to Google in terms of so many different metrics including the way it started - based on true algorithmic approaches as opposed to a way to voyeuristically spy on classmates for doxxing purposes and such.

You just showed us an exmample of facebook astroturfing

I think more visualization and ML tools like this are going to made available to cull through data like too http://52.11.211.67/recommend/chart-discovery/data/clusters/...

I remember when he called his users 'dumb fu*ks'. That told me everything I needed to know about the DNA of that company.

The best way to rob a bank is to own (or pwn) a bank.

I'm a purist and also need the absolute fastest lookups with out SQL overhead so I go straight for MDB (Sleepycat BerkleyDB) - faster than LevelDB or any others.