Lazarus Chok

doing urban planning things

[Mehran Jalali @mehran__jalali]

Last Saturday, 65 of us made a five-star steak dinner for 100+ guests at New York's highest-rated steakhouse: Mehran's Steak House

The full story:

[Paul Graham @paulg]

Tips on writing:

How to Write Usefully: https://t.co/Bu41gy8Fmx

The Age of the Essay: https://t.co/HdUSjESNGl

Write Like You Talk: https://t.co/pcEpHBRsXR

[Ryan Rzepecki @Ryanrz]

This morning I visited Songdo, a new smart city outside of Seoul. I have mixed feelings.

It is a skyscraper suburb.

It is what happens if a traffic engineer is given unlimited budget and creative control.

It is the perfect execution of flawed ideas. Here are the highlights.

[George Mack @george__mack]

The most useful razors and rules I've found.

Rules of thumb that simplify decisions:

[Geoffrey Litt @geoffreylitt]

What if -- despite all the hype -- we are in fact underestimating the effect LLMs will have on the nature of software distribution and end-user programming? some early, v tentative thoughts: 1/

[Replit ⠕ @Replit]

This site was built in less than 10 minutes using a few ChatGPT prompts and Replit.

Here's a glimpse into how software development has changed forever 👇

[Oliver Cameron @olivercameron]

Speaking of AI breakthroughs, this is what scaling fully driverless cars—all powered by crazy cool ML—looks like.

We now regularly deploy 100+ fully driverless @Cruise cars (no driver, just passengers) concurrently on the streets of San Francisco, scaling faster every day.

[Volodymyr Kuleshov 🇺🇦 @volokuleshov]

This wild. Take MNIST, feed it pixel by pixel to an LLM, followed by the label (“x1=5, x2=9, …, y=3”). Fine tune on this dataset. This reaches 99% accuracy. Also works on other small datasets.

[Shital Shah @sytelus]

I tried out new ChatGPT by OpenAI, threw at it all kind of queries. We are probably just 2-3 yrs away when these models can answer majority of search queries *much* better than classical search engines. This is one of the biggest leaps in info-retri/syn.

https://t.co/YeiEH1CilE

[Jim Fan @DrJimFan]

Excited to go to NeurIPS conference tomorrow! It's an annual gala for AI. Many revolutionary ideas debuted here, like AlexNet, Transformer, & GPT-3.
I read *all 15* Outstanding Papers and can’t wait to share my thoughts with you all. Here's your front row seat to the festival:🧵

[Samuel Arbesman @arbesman]

Large-scale simulation is all around, from weather simulations to modeling mobility within cities. 🖥️🌍

But I still think that the creation of simulations needs to be democratized.

In other words, where’s my “HyperCard for Simulation”?

🧵
1/

[Ethan Mollick @emollick]

Read these 3 pages. I post them every so often because I think it is some of the tightest, wisdom-packed writing on managing complex systems ever.

And almost every system is a complex system today, which is why cascading failures are swirling around us. https://t.co/pnNlFLvVdz

[Aella @Aella_Girl]

Women And Fetuses POLL THREAD
(some qs assume futuristic tech capacity)

1: Should it be legal for women to abort/end the life of their fetus before 3 months?

[Harrison Chase @hwchase17]

Introducing LangChain (🦜🔗): a python package aimed at helping build LLM applications through composability

`pip install langchain`

https://t.co/3V3myaAOPG

A thread on why we built this, what you can do with it, where it's going, and other tools in the ecosystem:

🧵

[Will Manidis @WillManidis]

I've never seen VCs make a bigger mistake than generative AI.

They are funding many projects that are destined to be abject failures.

Even worse, they are totally missing the places where ML will actually have impact and generate enterprise value.

Let me explain:

[Kanjun 🐙 @kanjun]

In 2020, @michael_nielsen & I began a 2-month project to write: "how would we fund science?"

2 years & 40,000 words later, it's become: "how can the culture & institutions of science actually change, and ultimately become self-improving?"

Our answer: https://t.co/QnxTbfemTA

[Bloomberg CityLab @CityLab]

With solar energy, recycling, computers, and personal mass transit, the 1960s-era Minnesota Experimental City was a prescient and hopeful vision of the urban future.

#citylabarchive https://t.co/HAUiC2M3hZ

[Tivadar Danka @TivadarDanka]

"Probability is the logic of science."

There is a deep truth behind this conventional wisdom: probability is the mathematical extension of logic, augmenting our reasoning toolkit with the concept of uncertainty.

In-depth exploration of probabilistic thinking incoming.

[Tivadar Danka @TivadarDanka]

The single biggest argument about statistics: is probability frequentist or Bayesian?

It's both, and I'll explain why.

Buckle up. Deep-dive thread below.