Danylon

8 ms·

1.
by Danylon 9y ago
Using an innocuous encoding of a word is a form of encryption. People who expect to be under surveillance agree on a set of code words to denote illegal things. Though hard, there are multiple ways to semi-automatically break such a linguis
2.
by Danylon 9y ago
Thanks for elaborating. > At some point the machine fact-checking relies on data input by humans. But so does nearly every ML model? In the case of a spell checker it is using corpora made by humans. If the majority of humans start spell
3.
by Danylon 9y ago
Resulting models will likely be released as open source, and the techniques published in open journals. The big money is in productionizing and running it on bigger datasets. Kaggle competitions are not a data-science-product-for-hire kind
4.
by Danylon 9y ago
1. Google has been an AI company from the very beginning (information retrieval). 2. Google is investing and doing generally useful applied AI, not an AGI moonshot. 3. Google's AI researchers are not 100% sure that AGI is just a few sh
5.
by Danylon 9y ago
Surely Google follows their own guidelines: You can't find Google Search Engine results indexed on Google itself (or any other search engine with or without ads for that matter). Google Search is more of an application than a content s
6.
by Danylon 9y ago
> You can't reduce fact checking to an algorithm. Can you elaborate on why you think fact-checking is beyond the capability of machines?
7.
by Danylon 9y ago
Cool. I knew of previous work [1], but not the recent paper you posted. Thanks. [1] https://arxiv.org/abs/1412.6056 "Predicting Deeper into the Future of Semantic Segmentation"
8.
by Danylon 9y ago
AI hype journalists will find something to write about, regardless of the industry making their research accessible to the wider public. Markov-chain generators have been around for a while, and have been used to throw off spam detectors. T
9.
by Danylon 9y ago
http://www.parrotanalytics.com/pacific-asia-knowledge-discov...
10.
by Danylon 9y ago
Beating the state-of-the-art with one-shot learning is not common. Transfer learning for NLP is also quite unchartered. Also the technique is quite novel: This is not pre-trained nets on labeled data, it is an unsupervised generative model.
11.
by Danylon 9y ago
Reminds me of http://artcontext.net/act/06/glyphiti/docs/index.php a black and white multiplayer canvas that has been running since 2001. They also animate the progress here: http://artcontext
12.
by Danylon 9y ago
It is possible to leak information, but then you are doing it wrong. Don't use only a single out of time test set to do parameter or model selection, keep an out of time holdout set. But really, this is the bare basic of forecasting. I
13.
by Danylon 9y ago
Is a mistake still a mistake when it is a profitable action? If fitting to human irrationality increases generalization performance, then it does not matter if the "machines seem destined to repeat our mistakes", it is still a use
14.
by Danylon 9y ago
This implies the time machine can go only one way. Taking information from the future back in time is worth more than taking information from the current to the future. We do the latter all the time, we do not need a time machine for this,
15.
by Danylon 9y ago
Then look at backtesting. The evaluation data set is out of time, meaning the better than random performance is on unseen future data. The algorithm was implemented, not merely a suggestion.
16.
by Danylon 9y ago
> If it's so easy why not to identify directly which stocks to invest in? It is not easy. Both to set-up, and the problem itself (you won't get a very high accuracy, but you will get much better than random guessing). > If y
17.
by Danylon 9y ago
It's not a case of exclusive or. Gather a list of a 100 or so human stock pickers. Train a model to predict the effect of following their suggestions (buy, hold, sell) to both identify which experts are most right, and which particular
18.
by Danylon 10y ago
Bagel = Kay-gel Haggle = Kah-gl I wonder about your dialect, if for you, "bagel" rhymes with "gaggle".
19.
by Danylon 10y ago
> I didn’t have any money when I started the company to purchase a domain name so I built an algorithm that iterated phonetic domain names and printed out a list of what was available. My wife and I went through the list and “Kaggle” was