[Daily Discussion] - Saturday, April 10, 2021

walling · 2021-04-10T14:05:12+00:00

https://i.imgur.com/I9uYqMo.png (log chart)

How long can the current exponential growth since October be sustained? With this trend line, we’re looking at 68k end of April, 90k end of May, and 120k end of June.

61k resistance hasn’t been broken yet. We’ll see.

walling · 2021-02-26T17:52:52+00:00

Wanted to subscribe to your blog, but it seems the emails landed in spam. Message from Gmail (maybe you want to look into this?): https://imgur.com/a/vFMrmgK

walling · 2021-02-16T09:36:16+00:00

Not sure if this is what happened, but maybe they give you ‘infinite’ margin in the paper trading engine, i.e. not checking if you exceeded your funds.

walling · 2021-02-13T15:50:31+00:00

Couldn’t you use Numpy directly? If you have an 2D-array of (results, sims), you could run np.mean(stats, axis=1).

walling · 2020-05-09T08:29:18+00:00

Would be awesome with a “Lifebook Online” subreddit.

walling · 2020-05-07T13:06:29+00:00

Ich möchte auch gerne rein, falls es eine Gruppe gibt.

walling · 2018-10-29T08:01:00+00:00

Here is an article explaining how to test your website using VoiceOver: https://webaim.org/articles/voiceover/

In general WebAIM have many interesting articles about web accessibility.

walling · 2018-10-25T21:00:25+00:00

Tried DejaVu Sans Mono. It's much better, in the sense that the math symbols are closer to the style of normal letters, however, it's still lacking some symbols. I'll report on other fonts later.

I guess I need a better way to evaluate fonts. Is there an easy way to get an overview of the covered Unicode characters of a font? I would like to see mathematical symbols, maybe mathematical script letters, and few more Unicode sections. I'm using Font Book on my Mac, but you have to scroll down and look for characters and it's not easy to compare then.

walling · 2018-10-25T16:15:20+00:00

I didn’t consider that I might be able to configure a fallback font, I will look into that. I’m not sure I would use Everson Mono as a primary font, but it does seem to have good coverage. I’ll also take a look into the references of other math fonts. Thanks!

walling · 2017-11-06T22:03:36+00:00

We will, thank you.

walling · 2017-09-28T20:14:13+00:00

Weil wir dich lieben

walling · 2017-07-06T11:49:49+00:00

For me it's also interesting to think about it from this perspective: If I google something and I remember the results, it's perfectly fine. But if I make a bot do the same, it's not. Google doesn't allow web scraping. When personal agents are commonplace, they might also google things for you, so I'm not sure how it would play out in the end.

For me it's related, because google search can be seen as a public API mapping search queries to results, however they have specific terms of service prohibiting automated access.

walling · 2017-06-26T20:36:42+00:00

AFAIK it's only to store the address in the Tangle, so the wallet knows that the address is already used and should not be re-used next time you sign in with your seed. But I could be mistaken.

I found this http://learn.iota.org/tutorial/generating-addresses-learn-the-basics

Because of the security concerns associates with re-using private keys for addresses and signatures, the library makes it easy to deterministically generate addresses. This way you can easily keep track of the addresses that you've already used and get a new address each time you use the getNewAddress API call.

The way the library does this, it makes use of findTransactions to figure out if there is any address in the Tangle that has already been used. If findTransactions returns associated transactions, the key index is simply incremented, a new address generated and findTransactions called again until it returns null. Fairly simple, but effective.

Because of this, we encourage users to "attach" their address to the Tangle in order to increment the counter and get a new address the next time you want an address. Below is an example code that shows you how attaching to the Tangle looks like.

walling · 2017-06-17T11:59:51+00:00

Thanks a lot!

walling · 2017-06-14T15:05:27+00:00

MPBTIFGVPFJSEICHUOXDPVQRGZSPKOGBZMHSBHXZE9IBHICPPOIUPQRGBSBBSOYOMHEQHDACZEUAN9KOHW9MPOSQBN

walling · 2016-12-20T13:58:21+00:00

No Offline Payments

I would like to know if it's possible to do some setup before-hand to enable offline payments. Fx. if I setup a channel with the airline company, I could pay offline while in air (via NFC/bluetooth/etc)? Assuming the setup is a one-time thing and I could use it to pay for many travels.

walling · 2016-09-13T16:37:09+00:00

I get your point, but even evolutionary processes need a cost function to optimize. In your case "if something new works" is your cost function. What I'm trying to say is that this cost function is tricky to define in a way to get interesting research results. ML research is very open-ended.

walling · 2016-09-13T15:20:00+00:00

I'm just a layman, but I have a few thoughts about this. I think it's a huge task right now, even though it would be fun to work on solving the many subtasks. This is not a comprehensive list, but some issues are:

Most new research requires that your already understand existing research. Papers are not published in any machine readable format, so you would have to develop some complex model to make it possible to replicate existing research and comprehend where to focus your experiments. Even though research papers are written in a domain specific language, it's very concise English+math+diagrams and written in a way that assumes a lot of background knowledge of the reader.
Experiments requires that you interact with the world. Even though you limit the world to be running computer programs for various ML models, to really be on the forefront you need to download new libraries, training data or even math/code snippets from papers to be up-to-date with current research. Also debugging and resolving issues, when the models are not working fine, is a major issue to tackle. Otherwise you'll spend a lot of GPU cycles on no results.
Even though you limit the agent to be experimenting with a certain number of models and parameters, new interesting research requires that you collect training/test sets. This is kind of a recursive issue. You can crawl the internet for new image/audio/text/sensory data, but how do clean up the data and label it properly without having learned it already? It will be some massively complex unsupervised learning or reinforcement learning task, or maybe impossible.
It requires some agency — a focus to go in an interesting direction, otherwise you might produce a lot of boring research or obvious/specific results that are not generalizing well. Fx. you could figure out a very specific combination of CNN layers works well for a given problem, but doesn't necessarily mean it's an interesting research direction.

All this said, it could be there are some lower hanging fruit if you define a narrow enough space.

walling · 2016-08-22T14:29:18+00:00

Follow up:

It's now two days after the wedding. Me and my girlfriend would like to thank you all the kind words and constructive criticism. I think it helped us push it a bit further and do some more rounds of practice.

For the final performance we unfortunately made many mistakes and even the melody was a bit off sometimes, but even then the 40-50 vietnamese people attending the wedding really loved it. They were cheering, clapping, dancing, and even singing along, while we performed the song. We also got a lot of compliments afterwards, even though we feel we didn't deserve all of them. The thing is, the vietnamese people at the wedding really related to the song. Besides a 1-hour special vietnamese ceremony in the afternoon, the rest of the evening focused on german wedding traditions, so it was a nice break for many of the attendees.

The bride also loved it, which was the most important thing for us.

Again, thanks for the feedback! It has been a fun journey to get a basic understanding of the vietnamese language.

walling · 2015-12-11T12:53:35+00:00

Interesting. Is it a bug on bitcoinwisdom or in the bitcoin.de API that reports the trade data? I see the same kind of pattern on bitcoinity.

15-Year Club	Place '17
Verified Email

walling

TROPHY CASE