teekno

Ambient jungle noises

I like this.

¯\_(ツ)_/¯

The Schwarzman building has unrestricted internet without needing to jump through any hoops--just connect to the wifi and you're good to go. I don't _know_ that the uni is shipping a vpn, but...

With high probability, the links on the website are outdated. I'm an international student at Tsinghua, and a lot our lot of English web presence is stale. Both of the official instagram [1] and facebook [2] accounts have posts from within the last 24 hours.

On-campus IPV6 gets you a connection to most "banned" sites. Imagine trying to do research without google scholar? Aside from "sensitive" times (anniversary of tiananmen, 70th anniversary, etc.), it's relatively easy to hop the GFW from campus.

[1] https://www.instagram.com/tsinghua_uni/ [2] https://www.facebook.com/pg/Tsinghua/posts/?ref=page_interna...

Let's not use the American police systems as a measuring stick.

"Affiliate links to all mentioned AI and Machine Learning books that I could find on Amazon"

FTFY

well trained and well behaving dogs

Ever dog owner has the most well trained and best behaving dog.

Summer 2019 Internships

Location: San Francisco Bay Area, USA / Beijing, China Remote: Open to remote work Willing to relocate: Yes Technologies: Python, TensorFlow, JavaScript, Java, HTML, CSS, ... Résumé/CV: https://justincosentino.com/docs/resume.pdf Email: justin.t.cosentino@gmail.com

I am currently pursuing a fully-funded, research-based Master's in Computer Science at Tsinghua University in Beijing, China. I specialize in Machine Learning and work in the Tsinghua Statistical Artificial Intelligence and Learning (TSAIL) research group. My current research areas include handling uncertainty in Bayesian Deep Learning and modeling risk in reinforcement learning.

Prior to my Master's degree, I worked for three years as a Senior Software Engineer at Salesforce. While at Salesforce, I received the most prestigious engineering award at the company for impact and leadership.

I graduate from Tsinghua in 2020 and hope to work as a Machine Learning Researcher or Engineer.

I'm not sure if it counts as recent, but you should absolutely read The Three Body Problem by Liu Cixin.

I also really enjoyed The Nexus Trilogy by Ramez Naam.

referrals, it cuts all the bullshit

Referrals get one out of the internet-resume-void, but you still go through the standard interview process, right? I've always seen referrals as a "guaranteed shot at the interviews coding games". Am I doing it wrong?

Woo! Another pi to add to my collection of unused pis.

One step closer to Marc's political ambitions

I love her music! And that she went to Bryn Mawr. Go Tri Co!

I'm very interested in (applied) AI research positions but wasn't quite prepared to commit 5-8 years to a PhD program. In order to validate my interest in research, I've enrolled in a two year Computer Science Master's program at Tsinghua University. This program has a thesis component, allowing me to participate in research and potentially get a publication. Depending on how much I enjoy the content, I plan on applying to AI fellowships, a PhD program, or Machine Learning Engineering positions after graduation.

Thought the program hasn't started yet, I hope that this is an alternative path for those interested in research but not quite ready for a full PhD.

I'm moving to China in a week for graduate school and have been asking myself many of these questions :)

In past trips to China, VPN services--specially Express VPN--allowed me to easily bypass the Great Firewall. That unlocks Twitter, FB, Google services, etc.

That being said, many services don't have a great experience in China. For example, Google Maps doesn't offer public transit or driving instructions. In these cases, using the chinese-based app (Du Maps) is just far better.

I'm under the impression that you need to opt-in to any research studies that would use your genetic info (though I'm not 100% sure).

I don't want to spread FUD but why would ANYONE in their right mind give their DNA to a company in Silicon Valley that is explicitely using Google as a model for Data privacy ?

My father has Parkinson's and provided his DNA to 23AndMe using one of their free kits [1]. Companies like this represent a chance of finding a cure. There are certainly concerns with companies accumulating large amounts of genetic data, but huge data sets are required for deep learning and other AI methodologies. Sharing one's genetic data, and allowing other companies to form partnerships to gain access to that data, will likely represent a key step in identifying the cause (and hopefully potential cures) for such diseases.

[1] https://www.23andme.com/pd/

More discussion here: https://news.ycombinator.com/item?id=16268152

I was shocked to read that the gut microbiome's gene set is about 150 times larger than the human gene complement [1]. I don't know a ton about microbiology, but it seems like that wouldn't drastically increase the time to sequence these microbes since we are talking about total set size, not the size of individual genomes? There is still so much to learn from the human genome alone - I fully expect many of our next great medical advances will come from studying these gut flora.

Hopefully that will also bring a little more science to the probiotics industry :)

[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3779803/

I don't follow. Progressivism advocates for the general improvement of society. This applies to both technological advances and social reform. Why not modernize social structure, infrastructure, and technology simultaneously? That should at least to the goal - hindering one will likely hinder the others.

Tech-driven transplants strike me as a related but slightly separate issue. Yes, they make up a large portion of the recent influx and gentrification needs to be addressed. I don't have a good solution for this and it deserves a lot of discussion, but ignoring the rising housing demand is certainly not the answer. If anything, that will force out even more tenants who can't afford tech-salary rents, right?

The Bay area is at the heart of the Third Industrial revolution and hopefully will continue to be a driving force in the Fourth. Not evolving city infrastructure and housing to match this strikes me as Luddism.

After capkutay's and anonfunction's comments, I disagree with me too, haha

But yes, it's not particularly beautiful or original

I'm neither an architect nor a designer, but my gut reaction is that you can only get so creative at 1,070′. Without any evidence to back this up, I'm going to say that physics will force most skyscraper designs to converge.

A recent trip to Hong Kong really highlighted San Francisco's inability to handle a rising population density.

As of mid-2014, HK's population was 7.24 million across the Island, Kowloon, and the New Territories [1]. The main Island alone has a population density of 16,390/km^2 with an area of 78.59 km^2 [2]. The city is covered in high rises and there is still a drastic housing crisis [6]. However, public transportation was readily available, on-time, affordable, and clean. I was able to travel across the region, to/from Macau, and to/from Shenzhen using only these services. At no point did I need to call a Lyft/Uber/Didi/taxi.

Looking at the 9-county portion of the Bay Area, we have a population density of 425.7/km^2 over 18,040 km^2 [3][4]. I realize it's more difficult to support a larger region with accessible public transit, so let's focus on the 7x7 in the city: 7,170/km^2 over 121.46 km^2 [5][7]. Over 40+ km^2 with under half of the population and we can barely keep MUNI/BART running, residents can't afford rent increases, and employees are commuting hours to reach the city [8]. How is the city so far behind HK with a 2016 GDP $470.5 billion (compared to HK's 2016 GDP of $319.7 billion) [9][10]?

These articles that complain about skyscrapers changing the skyline or ruining the historic feel of the city drive me nuts. How else will the city be able to keep up with the growing housing demand? We're on a peninsula - we have a fixed area in which we can build. The construction of SF tower has brought 60-ish floors of new employee space into the city without providing an equivalent number of apartments (yes, there are condos but those are certainly not housing all new employees). As these office high rises are constructed, we need to be pumping investments into public transit (a new 60 floors worth of employees will now be commuting within the city) and high rise apartments. They don't need to be luxury apartments (ie. Jasper) but affordable options that can house more than the standard 3 story house in Pacific Heights.

[1] https://www.gov.hk/en/about/abouthk/factsheets/docs/populati... [2] https://web.archive.org/web/20090824065021/http://www.statis... [3] https://www.census.gov/data/tables/2016/demo/popest/counties... [4] https://www.census.gov/data/tables/2016/demo/popest/total-me... [5] https://www2.census.gov/geo/docs/maps-data/data/gazetteer/20... [6] http://www.businessinsider.com/hong-kong-coffin-homes-housin... [7] https://www.census.gov/quickfacts/table/PST045216/06075,0667... [8] I'm getting tired of finding citations, but there have been numerous articles re:housing/transit/commute posted to hacker news these past few months [9] https://www.bea.gov/newsreleases/regional/gdp_metro/2017/pdf... [10] https://www.imf.org/external/pubs/ft/weo/2011/02/weodata/weo...

"next big thing" == "next pump 'n' dump"

Maybe that was our great filter [1] and we’re off to Type III civilization?

[1] https://waitbutwhy.com/2014/05/fermi-paradox.html

/gif its happening

Spotify has become one of the few subscription services that, barring a large price increase, I have no plans to cancel. I listen to content for at least 4 hours each day and I'm more than happy pay $10 a month for offline storage and no ads. The additions of Discover Weekly and daily mixes made losing What.CD slightly more bearable.

- https://hckrnews.com/ (chronologic view for HN)

- https://lichess.org/ (prefer this to chess.com)

- http://www.npr.org/podcasts/510318/up-first (start my morning with this news podcast)

- https://www.reddit.com/

- https://twitter.com

This title is extremely misleading. There was no "epic glitch", just a market crash that this trader took advantage of.