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vavooom

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Machine Learning Consultant

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www.bloomberg.com 1mo ago

Swiss Alps Reckon with Threat of Collapsing Glaciers

vavooom
4pts0
www.quantamagazine.org 1y ago

Finding Beauty and Truth in Mundane Occurrences

vavooom
3pts0
www.washingtonpost.com 1y ago

Land under the country's largest cities is sinking

vavooom
3pts1
www.torched.la 1y ago

Clearing the Air (In Los Angeles) – AQI Discussion

vavooom
2pts0
worksinprogress.co 1y ago

The Housing Theory of Everything

vavooom
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arxiv.org 2y ago

Map of magnetic fields in the Milky Way

vavooom
4pts0
aisafety.dance 2y ago

AI Safety for Fleshy Humans

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andrewconner.com 2y ago

The Option Method

vavooom
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close.city 2y ago

Close City Index Map

vavooom
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eugeneyan.com 2y ago

LLM Task-Specific Evals That Do and Don't Work

vavooom
2pts0
en.wikipedia.org 2y ago

Kuramoto Model

vavooom
1pts0
homelessnesshousingproblem.com 2y ago

Homelessness is a Housing Problem

vavooom
3pts1
www.youtube.com 2y ago

How to Get Users and Grow: Alex Schultz Talk [video]

vavooom
2pts0
www.youtube.com 2y ago

How Humans See Data [video]

vavooom
1pts0
www.cnn.com 2y ago

Hurricane Hilary rapidly intensifying, could bring significant flooding to SoCal

vavooom
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e360.yale.edu 3y ago

Beyond Biden’s Climate Plan, a New Industrial Revolution Is Needed

vavooom
3pts0
ussanews.com 3y ago

Computer Saturation and the Productivity Slowdown

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www.jameswwilson.dev 3y ago

The Seven Pillars of Statistical Wisdom – Visualized

vavooom
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www.shreya-shankar.com 4y ago

Thoughts on ML Engineering After a Year of My PhD

vavooom
119pts48
www.c82.net 4y ago

17th Century Watercolors Diagram

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20pts0
www.washingtonpost.com 4y ago

Africa's Rising Cities – How Africa will become the center of the world’s future

vavooom
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www.paulgraham.com 4y ago

Cities and Ambition

vavooom
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graphics.reuters.com 4y ago

Devoured – How China’s Poyang lake was decimated by sand mining

vavooom
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unherd.com 4y ago

The West can learn from China

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7pts0
lite.cnn.com 4y ago

First-ever water cuts declared for Colorado River in historic drought

vavooom
3pts2

I appreciate it, as it helps me to not 'favorite' many comments, but only those that actually strike me as worth saving when they are so detailed as to be a post of their own!

I applied this query with 4o and yes, quite a thorough historical recounting. Really weaves together all those "random" questions one asks an LLM into a surprisingly (and somewhat scary) encompassing of one's self.

"Within our modeling framework, we show that gentrification emerges only when high-income residents have some mobility, even if minimal, highlighting how their movement patterns catalyse the process. We treat relocation flows of agents in our city as time-varying edges in a temporal network, leveraging established tools from network science and human mobility research."

So to summarize, when rich individuals wants to move, they do. Seems logical given they have the excess opportunity to do so with minimal risk / cost often associated with taking on whatever risks are associated with 'gentrifying'

"The researchers tested Scott again after six months back on land. Roughly 91 percent of the genes that had changed activity in space were now back to normal. The rest stayed in space mode. His immune system, for instance, remained on high alert. DNA-repair genes were still overly active and some of his chromosomes were still topsy-turvy. What’s more, Scott’s mental abilities had declined from preflight levels. He was slower and less accurate on short-term memory and logic tests."

We are excited for Open Data users to dig into this dataset, experiment, and find insights from the “speed sample of NYC’s streets” that the MTA’s 4,900 buses collect each day. This data will be uploaded on a monthly basis, and can be found on the NYS Open Data portal.

What a great dataset and effort to allow for further research into areas of the city that could benefit from anti-congestion measures (cough cough car tax) to improve bus services!

Also - where does one even store 4,900 buses in NYC? I guess most of the fleet is out on the streets all day, but I imagine servicing all of those is quite the feat.

Terence Tao on O1 2 years ago

Most surprising thing about this article is discovering that 'mathstodon' exists and Terence is active on it!

"Trust that I would step out if my child were actually disturbing anyone."

Key word here is trust, which I think many have lost the ability to provide to others since the pandemic. We live in a jaded society and sometimes people will project their opinions from positions of power that aren't quite justified.

Good on the author for being capable of doing so much and taking conflict in stride!

This article is so good. My favorite quote:

"The actual goal of any “behavioral interview” or “culture fit” estimation is simple, but nobody ever lays it out. The goal of culture checking is only: determine how a candidate handles the tradeoffs between progress vs. kindness."

This is quite honestly one of the most phenomenal reads I have had on HackerNews. From the technical detail to the personal investigation, this truly shows how much one person can accomplish with discipline and a goal. Kudos to you sir!

“There’s a tendency to dismiss this as sort of like, yeah, we’ll worry about it in the future. But I think it’s becoming more of an issue that has to be tackled sooner rather than later.”

This is an increasing phenomena of our century and it continual feels like we keep kicking these big socio-economic problems (i.e. social security, climate change) down the road.