dwcnnnghm's comments

dwcnnnghm | 7 years ago | on: Top lawyers beaten by legal AI

>That ship has sailed long long ago...like, 1890 long ago.

In California, at least, that is still the only way become a lawyer without a law degree (called the "Law Office Study Program"). If you forgo law school, you are required to do an apprenticeship in a practicing attorney's office for 4 continuous years (18 hours/week, 48 weeks/year), along with taking various exams and reporting your study progress.

Details here: https://california.lawi.us/law-office-study-program/

California Bar (Section 4.29): https://www.calbar.ca.gov/Portals/0/documents/rules/Rules_Ti...

dwcnnnghm | 7 years ago | on: Habits of Highly Miserable People

This is great. Another wonderful piece of advice I had read somewhere for similar situations is:

"remember that an argument between you and your partner is you two against the issue rather than against one another"

I think it is a great way to refocus the conversation and work toward a solution.

dwcnnnghm | 7 years ago | on: Habits of Highly Miserable People

This is also the basis of the Steel Man Argument [0] [1], as opposed to Straw-manning. Instead of attacking (basically nitpicking) the easy missteps in your opponent's reasoning, find the best form of their argument, and then argue with this. It seems to me as the ideal way to both win over those on the other side and provide yourself with a solid ground. You present yourself as avoiding undermining their position (really listening and caring to understand where they are coming from) and present a better argument yourself.

[0] https://en.wikipedia.org/wiki/Straw_man#Steelmanning

[1] https://lifehacker.com/utilize-the-steel-man-tactic-to-argue...

dwcnnnghm | 7 years ago | on: The Importance of Deep Work and the 30-Hour Method for Learning a New Skill

The Cal Newport book on Deep Work that this article is based on has inspired a push for the Eudaimonia Machine [0] (an updated version by Newport himself here [1]). It’s a concept for an office that is designed to promote effective deep and shallow work. It’s a wonderful idea, though discussions on HN about it have pointed out that it’s difficult in startups, especially during high growth: allocating space for deep work (sound proofed rooms for individuals) takes up quite a bit of space that would be otherwise needed for a fast growing employee base.

[0] https://medium.com/@jsmathison/i-cant-stop-dreaming-of-eudai...

[1] http://calnewport.com/blog/2016/10/19/the-opposite-of-the-op...

dwcnnnghm | 7 years ago | on: The Importance of Deep Work and the 30-Hour Method for Learning a New Skill

Some great suggestions here already but thought I would add Metacademy [0] and Learn Anything [1] (White Paper here [2]). These are designed to create a map of skills and concepts for a given topic. I find an interactive visualisation to be really effective in understanding the broader ideas before starting out or during the early stages when it’s hard to see how the pieces fit together.

[0] https://metacademy.org

[1] https://learn-anything.xyz

[2] https://github.com/learn-anything/learn-anything/wiki/White-...

dwcnnnghm | 7 years ago | on: Carnegie Mellon Launches Undergraduate Degree in Artificial Intelligence

I am currently studying this degree at the same university. A few AI concepts (NLP and Formal Language Processing) are introduced in the 2nd year. Other than that, all courses are CS/Maths. Keep in mind that at Scottish Universities, students apply directly to their degree and besides one or two courses per year (some like Medicine or Law often have no electives), students take only courses within their degree. This way, with most AI courses in 3rd and 4th year, students tend to have a strong enough grounding in CS principles and Maths for this material. That's not to say that the degree is perfect, or providing "real/production" AI, but it is certainly well done.

You can see the courses here - http://www.drps.ed.ac.uk/18-19/dpt/utaintl.htm

dwcnnnghm | 8 years ago | on: Ask HN: Why is there so little programming related content on HN?

Do you have thoughts about possible remedies for this? I believe that HN has a great voting structure compared to other similar sites (for example, Reddit); though there is, as you point out, obvious room for improvement.

Would a supplementary AI system help? Maybe a simple "random sprinkling" of New/Rising posts on the front page(s)? Or do you think there should be a completely new ranking system altogether?

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