Hacker News: mjhirn

New comment by mjhirn in "The Principles of Deep Learning Theory"

mjhirn — Sat, 16 Apr 2022 13:50:44 +0000

I have been working and thinking about data and ML models for many years and this is probably the most concise and lucid summary of a post NN philosophy I have heard so far. It also resonates with me. Thanks for sharing.

New comment by mjhirn in "Slower News"

mjhirn — Fri, 25 Dec 2020 19:47:46 +0000

Unlike some of those top comments, I actually like your curation a lot. Prefer it to The Economist, New York Book Review, and the other sites ppl linked in the comments. Good job!

I know you have an RSS feed, and the crowd here probably is all for RSS, but I would love it if I could leave my email somewhere and get a notification when a new submit was posted.

New comment by mjhirn in "Progress Over Perfection"

mjhirn — Thu, 10 Dec 2020 13:22:13 +0000

I was thinking along those lines in the first half of my twenties. Now in the second half I feel lucky that I found a topic that I am going deep on and I am using that to go wide in some other connected areas.

In hindsight there was some time where I had to actively force myself to stick with one topic longer than usual to go deep. Once that hurdle is taken I have less of a problem now integrating adjacent topics.

I also agree with the advice that focusing on one topic improves professional success. Long-term is TBD though.

New comment by mjhirn in "What Is a Feature Store?"

mjhirn — Wed, 21 Oct 2020 16:41:30 +0000

Quick question: What's the reason for making "Transform" part of the Feature Store definition. I've been evaluating a couple of feature stores (incl. Tecton and Feast - great job by the way willempienaar) and I'm wondering if that doesn't complicate things. Especially if you already have your own data processing pipes.

New comment by mjhirn in "SpaCy v3.0 Nightly"

mjhirn — Thu, 15 Oct 2020 19:07:28 +0000

Ines Montani is the woman behind the awesome web design. I worked with her previously - she is amazing!

New comment by mjhirn in "CRDTs are the future"

mjhirn — Mon, 28 Sep 2020 18:52:50 +0000

"Operation Transformation" = "a system that supports collaboration functionalities by separating the high-level transformation (or integration) control from the low-level transformation functions"

Source: OT's Wikipedia article

But I felt the same. Never heard of "Operation Transformation" before and both OT and its alias were equally opaque to me.

New comment by mjhirn in "Ask HN: App for finding your cognitive siblings?"

mjhirn — Fri, 02 Nov 2018 19:58:42 +0000

Hearing friends talking about flaking, I would say it is a very common theme. I would also think, that you may not want to meet up with that person, because either not in the same city, or because you may match with a lot of different people which also may change over time.

I also thought of it more like a self-validation thing, a source of more information, recommendations, etc. What you would get back may be an online conversation or a feed of relevant websites.

New comment by mjhirn in "Ask HN: App for finding your cognitive siblings?"

mjhirn — Fri, 02 Nov 2018 19:48:36 +0000

Good question! Could see that a conversation with that person may go very stale very quickly, but may have some other benefits?

- Great reading recommendations

- Great proof-of-competence like a 'badge' or 'degree' when hiring

Ask HN: App for finding your cognitive siblings?

mjhirn — Fri, 02 Nov 2018 15:11:08 +0000

Hey HN,

I have this idea: An app that lets you find your 'cognitive siblings' - people that share your viewpoints, interests, etc. based on (a subset of) your browsing history.

Would like to see if this is something worth building a prototype for.

Facebook, but for connecting with people that you haven't met yet. Twitter, but finding also 'non-famous' cognitive siblings.

The idea is a plugin, that records your browsing history and shows you people with similar histories that you can then connect with.

Do you think that would produce interesting sibling results? Why / Why not? Has it been attempted before - why didn't it work out? (Maybe leaving privacy issues aside here for now)

Comments URL: https://news.ycombinator.com/item?id=18363561

Points: 13

# Comments: 14

McKinsey's new study on the business value of good design

mjhirn — Tue, 30 Oct 2018 12:48:27 +0000

Article URL: https://www.mckinsey.com/business-functions/mckinsey-design/our-insights/the-business-value-of-design

Comments URL: https://news.ycombinator.com/item?id=18335980

Points: 2

# Comments: 0

New comment by mjhirn in "[dead]"

mjhirn — Sun, 07 Oct 2018 19:11:11 +0000

I haven't tried Mixnode yet, but the way I understand it, it lets you query websites and retrieve their HTML content that you can then parse - without you having to crawl the site. Looking at their Github, they seem to utilize WARC, so they may also allow you to request the website for certain timestamps?

That being said, I find this highly interesting, if it works like that. We are working on a peer-to-peer database that lets you query a semantic database, popularized mostly by public web data, but with strong guarantees of accurate and timely data, and this could be a great way to write more robust linked-data converters.

Blockchains and Reality – Introducing Rlay

mjhirn — Tue, 19 Jun 2018 12:54:06 +0000

Article URL: https://medium.com/rlay-official/introducing-rlay-a-decentralized-protocol-for-blockchains-external-data-problem-c0e6947a193d?ref=hn

Comments URL: https://news.ycombinator.com/item?id=17346080

Points: 6

# Comments: 1

New comment by mjhirn in "Scientists pave the way for large-scale storage at the atomic level"

mjhirn — Tue, 19 Jul 2016 14:55:56 +0000

I am wondering if the technique described in this Nature publication from yesterday [1] to potentially operate quantum computers at room temperature, could be used for the atomic storage as well. Does anyone know?

[1]: http://www.nature.com/ncomms/2016/160718/ncomms12232/full/nc...

New comment by mjhirn in "Leaf ML framework ends development"

mjhirn — Mon, 09 May 2016 15:50:39 +0000

Yes, we had trouble to attract the right community and convert the stars into recurrent contributions, as there was less overlap between the Rust and the general ML community than we anticipated. This bothered us a lot and played a role in our decision to suspend Leaf.

New comment by mjhirn in "Leaf ML framework ends development"

mjhirn — Mon, 09 May 2016 13:53:26 +0000

Thanks for sharing on HN. Rust community's discussion on Reddit: https://www.reddit.com/r/rust/comments/4ij2ub/googles_tensor...

New comment by mjhirn in "Leaf framework: Tensorflow wins"

mjhirn — Mon, 09 May 2016 13:36:09 +0000

Thanks for sharing on HN. Here's the Rust community discussion on Reddit: https://www.reddit.com/r/rust/comments/4ij2ub/googles_tensor...

New comment by mjhirn in "Leaf – Machine Learning for Hackers"

mjhirn — Mon, 25 Apr 2016 14:10:51 +0000

We think it is more beneficial for collaboration if we stick to the common naming of layers, functions and concepts than using metaphors. We provided two links, which help to get you started with that.

But with Leaf it becomes very easy to create modules (Rust crates) that expose layers/networks/concepts, which can have a metaphorical name.

New comment by mjhirn in "Leaf – Machine Learning for Hackers"

mjhirn — Mon, 25 Apr 2016 14:03:32 +0000

We built it with mdBook (https://github.com/azerupi/mdBook), which describes itself saying "Like Gitbook but implemented in Rust"

New comment by mjhirn in "Leaf – Machine Learning for Hackers"

mjhirn — Mon, 25 Apr 2016 12:49:59 +0000

I think CNTK and Tensorflow and Theano, too, have a declarative approach, representing the computation via a computational graph. Which in my opinion is beneficial for research. But for a hacker or a software developer who wants to build an application, this creates an unnecessarily steep learning curve and feels unintuitive. (I have the feeling, that this an important reason why Keras, Lasagne and co. exists)

Leaf takes an imperative approach and explores an easier API (only Layers (Functions)[1] and Solvers (Optimizer Algorithms)), reusability through modularity and abstractions that keep the implementation and concepts to a minimum or rather abstractions that feel as familiar to a hacker as possible.

For future versions e.g., we want to explore what is practically possible with auto-differentiation via dual numbers and differentiable programming.

[1]: http://autumnai.com/leaf/book/deep-learning-glossary.html#La...

New comment by mjhirn in "Leaf – Machine Learning for Hackers"

mjhirn — Mon, 25 Apr 2016 12:10:54 +0000

Well, it has a bias towards NN and deep learning for now, as this was our initial focus for the proof of concept, but the architecture of Layers and Solvers should allow it to express any machine learning concept/algorithm. We are actually working on it (verifying it) with James from rusty-machine[1][2].

[1]: https://github.com/AtheMathmo/rusty-machine [2]: https://gitter.im/AtheMathmo/rusty-machine