michael_vo

A lot of this is discussed by strong towns. What is appreciating is the land underneath the house due to supply and demand. The physical house depreciates over time.

They discuss numerous solutions like abolishing zoning laws as well as changing tax code to tax the land and not the value of the home.

I’m still optimistic that technology will disrupt building costs and totally change our options. Imagine if we could buy a 3d printed home for 50 percent of current costs.

I always wonder why the military isn’t used in these situations. Can’t they airdrop supplies easily? Isn’t there a gigantic unused workforce that could shovel people out?

I wonder if the lock screen could take a picture of the person trying to unlock - maybe only turned on when "find my" phone is activated. Could that be enough grounds for a search warrant?

The director of the Switzerland rail real estate told me they went around the world studying existing systems and copied the Japanese way of building stations.

The government owned the stations and leased retail spaces out to businesses in a repeatable templated way. Their goal was for users to never have to leave the station on their way to and from work. So they standardized metro/train stations to have a grocery store, dry cleaning, etc. This was highly profitable and successful.

A lot of rail systems focus on the costs but don’t think about how to design it so that humans want to use rail.

I agree it's ridiculous. For those who say you can print it out, about half the people who arrived in line at the airport in Canada had no clue we needed to fill it out until we got there. But this is actually common in the covid travel days.

Like in Italy we had to fill out about 100 input fields from shitty dropdowns, and it wasn't basic personal information (i.e. they wanted your parent's names and birthdates). By shitty dropdowns an example is birthdate required me to click year by year from 2021. It took about 15 minutes to fill out on mobile. I really felt bad for the older people filling it out on their mobile devices.

The amount of data that is being collected is pretty insane when you travel nowadays.

This is a good idea. I see a lot of concerns about potential abuse.

There are ways to mitigate this. You could use twilio to route numbers into a multi way conversation that is recorded.

There's probably a feature such that the numbers stay private on both sides.

For some countries (USA) you can forward your number to a google voice number and retain incoming sms. Call forwarding isn't possible to my knowledge.

Perhaps state actors who can print free money would be interested in performing these attacks. Say if a coin was owned predominantly by citizens of one country or if the countries' infrastructure was running on ETH technologies.

Like suppose the banking system was running on ETH. Or if Colonial Pipelines used ETH.

What are the attack vectors on PoS. With PoW you need 51% of the mining power to take over the system, which is very labor intensive to set up.

With PoS could you take over all coins by buying 51% of the existing coins? So if the market cap of ETH is 200BB spend 100BB to double your money?

It does work "at scale" but you need to launch, fail, and iterate just like any product.

Georgia State University is a great example of successfully implementing the goal of "college success" and continuing to innovate. They started by solving the problem of students accepting their offer letter, but never choosing classes during that crucial first summer.

First tool they built used a combination of AI chat box and counsellors to answer common questions, help students fill out forms, and/or get financial aid. At each step of product development they asked "what's next?". For example choosing a degree is "hard" for first generation college students. So they built salary, and career earnings during the UX where you pick your courses.

Another non-SMS solution they provide is automatically depositing money into student's accounts who are low and struggling. This especially helps 4th year students who may have burnt through their financial aid.

https://www.youtube.com/watch?v=Rh20W2uXHCc&ab_channel=BillG...

Blitz - (https://blitzjs.com/)

Blitz is built on top of Next.js and gives you postgres for free, in addition to auto-generating CRUD routes on schema changes. It's trying to be like Rails.

I've used Next.js with firebase for multiple prototypes.

Hacker news is a biased crowdsourced recommendation system for individual articles. It skews towards the interests of a programmer from the bay area. There's probably 5 articles a day I enjoy reading from hacker news. There's a lot of misses too - how often do we click on a hacker news link and instantly close it?

I looked into scraping substack to find individual writers and highly rated ones (through subscriber counts). There's some good writers like Heated by Emily Atkin. Though - do I want to read climate change articles all the time? I found that for some newsletters I lost interest after some time or some topics didn't interest me.

Reddit is also a crowdsourced recommendation system with its subreddits. I find some subreddits good like r/dataisbeautiful. I found this subreddit through a referral from a friend.

People use twitter to ask for good newsletters as well.

Good luck. I wanted the same product when I was searching for newsletters and podcasts to subscribe to. I built a similar POC but never could find the hook that would get me to use the site daily/consistently. Commenting and social integration is an interesting way to get people to keep using the site.

I ended up with a fresh email inbox with 100s of newsletters and realized that it becomes a lot of junk. Only some of the daily articles are topically interesting to me and it becomes a game of subscribing and unsubscribing.

I think what I really want is to have individual articles rated and to only have those surface for me.

Another idea I had was to store every newsletter (which is usually just text and images) and then ppl can turn on a faucet to add/delete newsletters to their feed (fb style).

This seems to be one specific category of lying detection (new training data with no prior training).

This article doesn't seem to discuss machine learning techniques. For example what if we could have someone talk about "nothing" for x hours for a training set, then interrogate them. That's essentially what lie detection machines do when they ask a series of baseline questions. But heart rate is the only input feature they use. We could use word frequency, spoken word speed, sentence patterns, and all the rich feature sets of ML.

For those who have watched the popularity of deception games like Among Us, Secret Hitler, Werewolf, etc, there are verbal and non-verbal cues we all use. And playing with the same players iteratively yields a lot of meta sussing. For example: "You sound guilty because you're usually calm when you're guilty and accused of being imposter. Right now you're excitedly defending yourself"

How long does it take you to make a video, and how often do you release?

A video I made based on the research by Raj Chetty of the non-profit Opportunity Insights. The research examines how geographic locations determine economic outcomes of children.