DylanDmitri

Weight wise it looks feasible. The hard part is getting something capable of transferring hundreds of tons that can also conform to hulls of different shapes.

It’s pandas, but fast. Pandas is the original open source data frame library. Pandas is robust and widely used, but sprawling and apparently slower than this newcomer. The word “data frames” keys in people who have worked with them before.

I looked at the slices from each position to the end. Now for every name (“one”, “1”, “two”, …) check slice.startswith(name).

After I pulled out first and last from results array.

Two nested for loops, program all included was under twenty lines.

I would be happy extending these incentives to single homeowners, if we also extend similar or greater incentives to people living in condos or apartment buildings.

Check out land value tax: https://www.astralcodexten.com/p/your-book-review-progress-a...

It looks like the problem years were 2004-2013. The problems stop after she’s appointed CFO in 2013.

Microsoft’s “request for external license” form is one page long, and has a “how much would this company cost to acquire” section. Or so I’ve heard.

A curious person finds treasures in one of three rooms they searched. Obviously they should have ignored the other two from the get go.

I think Newton was curious about everything around him, and a lot of it paid off.

I think most high-school educated adults, with the ability to make a couple web searches, would do fine on all these questions. It would take the humans minutes instead of seconds because they don't have the internet memorized.

Me, Kubernetes Haikus, time taken 84 seconds:

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Kubernetes rules

With its smooth orchestration

You can reach web scale

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Kubernetes sucks

Lost in endless YAML hell

Why is it broken?

Stores with no nearby workers won’t spontaneously fail. But the situation is symptomatic of a precarious labor/housing equilibrium. In this precarious system, stores are likely to be toppled by external forces (Covid), and have farther to fall afterwards.

Other cities, with more robust labor/housing equilibriums, are bouncing back from the pandemic just fine.

If the people working at a store can’t afford any apartment within a forty minute commute the store will fail.

Related, is there a high quality plaintext dictionary file for running similar searches? I’ve spent several hours but couldn’t find one that’s both comprehensive and accurate.

I’ve seen impressive demos with just LLM direct to SQL. Can’t wait to see what people build with these new tools.

Oh yeah these are "wide" enterprise systems, and not for the website. I think we read the initial comment differently.

For Amazon, if we consider everything for website retail purchases, I would estimate tens of thousands of table schemas. This is counting:

- Sellers (Amazon, third party, retail store) - Inventory (forecasting, recommendation) - Customers (comments, ratings, returns, preferences) - Warehouses (5+ distinct types, filled with custom machines) - Transit Options (long haul, air, vans, cars, bikes, walking, boats) - Delivery Partners (DSP, Flex, Fedex, UPS - forecasting capacity here) - Routing (between warehouses, within warehouses, to specific homes) - skipping AWS - skipping billing - skipping advertising on amazon.com (bidding, attribution, etc)

There's optimizations and metrics collected and packages transition between all these layers. There's hundreds of "neat projects" running to special case different things; all them useful but adding complexity.

For example ordering prescriptions off Amazon pharmacy needs effectively its own website and permissions and integrations. Probably distinct sorting machines with supporting databases for them. Do you need to log repairs on those machines? Probably another table schema.

You want to normalize international addresses? And fine tune based on delivery status and logs and customer complaints and map data? Believe it not like 20 more tables. Oh this country has no clear addresses? Need to send experienced drivers to areas they already know. Need to track that in more tables.

1) Add "calls to account creation" to un-logged in view. Annoying but fine. 2) Use an algorithmic feed and not a chronological one. Bad. 3) Clear up internal replies structure. Good. 4) Show you content from people you aren't following. Bad. 5) Rework push notifications. Depends on execution. 6) Reduce crashes. Good.

I'm on tumblr mostly to keep in touch with a circle of friends from 10 years ago. I don't want to "grow my blog" and I don't want content from people I don't follow.

Standard speed cube method uses 9 “looks” each followed by an optimized algorithm. This development (1LLL) combines the final two looks (each normally requires choosing one of roughly 40 unique algorithms ) into one monster step with 4000. The number is big because there’s many possible embeddings. Each look is only at the next subsection of the cube you plan to solve.

“Type O Contributor” - have your only contributions be minor spelling and grammar fixes.

These problems are fixable. Use blind bidding, and ban spoofing by preventing order cancellation within a bucket. Too many orders? Set a per-client limit.

Most of this is improvable with software. As other commenters point out, the resistance is from incumbent trading institutions who have a lot invested in the status quo.

How about forcing public markets to bucket trades within say 2 second windows, executing best matches at the end of each period. Low friction and reduces value of millisecond latency advantages.

1. I think we’re still deciding. 2. Quieter, easier to pilot, no fuel smell or storage.

Also the US government threatens (and occasionally delivers) military and financial harm on entities that refuse to use USD for certain transactions.

What's a reason to use this over Wolfram Alpha?

I think workers will self select into WFH and office companies. Then everyone gets the experience they want. Just growing pains now.

There’s a number of scripts and tools on GitHub, findable by search engines. “Power Delete Suite” is the one I used.

Explosion in indie animated series. Going to go from $15-$20 million for a season of an animated show (requiring industry buy-in, expectation of profit, etc.) to something 2-3 people can make as a passion project in a year. As with indie games and YouTube channels, a couple of these shows will become cultural gems.

First to market with an easy-onboarding decent-looking AI animation platform will build a self-perpetuating position. Think like Roblox for animators.

We're going to get an explosion of indie animated shows. Will soon be possible to make as a year-long passion project what used to require $15 million and network exec buy-in.

Key element is probably less technology, and more social/political/religious unity. You need a stable and egalitarian social fabric to make consistent progress.

Core beliefs: rebooting civilization is hard but will make everything better (promised land), here's the scientific method and why it works, here's how to setup and maintain a democratic nation state, here's how to incentivize and reward inventors. Here's fascism and why it's bad. Here's the Prisoner's Dilemma -- everyone must cooperate with each other and identify and punish defectors. Here's songs and rituals and art you can participate in together to reinforce all of this.

I'm on Abilify. It prevents the nasty mood swings that caused me to lose my first job.

More recently they wanted to monetize C#, but found it best to make the language itself free and open source while monetizing through complementary products.