skysight-inc/HackerNews huggingface dataset:
The point is that we can verify whether something works (with a randomized controlled trial) independently of knowing why it works, and psychotherapy interventions are commonly evaluated with RCTs.
Nitpicky terminology choices aside, this is a very good, easy-to-follow writeup on multi-region data system design. Understanding that the trick is shuffling around the latency makes it much easier to reason about where you want to focus your latency savings. One thing I wasn't quite sure on, though, is why Database A would care if Database B had a read of a certain kind (vs. a write). Reads don't change state, so if a million reads occur with no writes, the data should still be consistent, no?
Plausibly we're headed for a world where feature size decreases stall out but manufacturing improvements continue to lower the price of transistors over time. In a world like that throwing in a few x86 cores even if the dominant ISA shifts might be worth it from a backwards compatibility standpoint even if other ISA become dominant.

There's lots of complications to address there (strict x86 memory ordering versus loose ARM ordering, for instance) but I expect they're solvable.
An open-source, free circuit simulator
People getting excited over an oreo cookie crumb in a pipette? Wait till someone puts the oreo cookie wafer on an air hockey table for a fun levitation video.
I find that much scarier to do personally since it seems a lot more likely to screw up other stuff on your machine, whereas with pyenv it's all self-contained in the venv. Also using apt packages tends to install a pretty old version.
Machine learning became quite the buzzword in 2016(?)
I'll give you an example of something i did with a vector database.

I was playing around with making my own UI for interfacing with chatgpt. I saved the chat transcripts in a normal postgres DB, along with the open AI embeddings for each message in a vector db, with a pointer to the message id in postgres in the vector DB metadata.

Then as you chatted, i had chatgpt continuously creating a summary of the current conversation you were having in the background and doing a search in the vector db for previous messages about whatever we're talking about, and it would inject that into the chat context invisibly. So you can do something like say: "Hey do you remember when we talked about baseball" and it would find a previous conversation where you talked about so and so hitting a home run into the context and the bot would have access to that, even though you never mentioned the word "baseball" in the previous conversation -- home run is semantically similar enough that it finds it.

If you're using openai embeddings as your vectors, it's _extremely_ impressive how well it finds similar topics, even when the actual words used are completely different.
> at what you want to do with your life

Your asking 16, 17 and 18 year olds without any life experience outside of high school to do that though.
I'm glad there's a community working on this; I read the Ink & Switch article a while back, the local-first paradigm is very appealing.
Can confirm, shopify will rank in searches but typically if you also sell on these other platforms, the majority of the traffic goes to them.

Recently lost amazon due to hoop jumping lockout, sales down on a certain product 80% but that's better than losing 100%. My main complaint is amazon won't let you sell your product cheaper on your own website.
I second the Happiness Trap.
I almost was very sad because I thought this was referring to hex.tech which I love and is great
One thing you and the OP are not accounting for is social status and flexibility.

A lot of people will judge you for not having a college degree, and choosing not to get one will put you in a position of either having to just accept that or work harder to prove yourself (and you may not even be given that chance).

Also choosing to forsake a degree just plain blocks off a lot of paths. Say, in your late 20s, you decide landscaping ain't for you, and you want to become a doctor. If you never bothered to get an undergrad degree because if some impression that the direct value wasn't worth it (e.g. I don't need those "networking connections"), making the switch got a lot harder: you're going to start from square one, at a life stage where that will be more difficult. If you already have a degree, you can get in the position to take the MCATs and by rocking a semester and change worth of basic science classes. Landscaper -> doctor is a pretty extreme example, but the same situation applies to other areas. I know developers who switched careers from other fields. I don't think they'd have been given the chance if they went high school -> landscaping -> coding bootcamp. Even (early in my career), I knew one developer (who was pretty good), but only had a 2 year associates degree, and the fact that he lacked a 4 year degree hobbled him in many ways.
We have evaluated PyPy but actually found Pyston to be more performant in most of our use cases (even with extensive JIT warming). That project unfortunately seems unmaintained now, but I am hoping that the improvements will be upstreamed into CPython.
Toxicity is defined by serum levels, and is at around 100 ng/mL. My last labs put me at 39 ng/mL, and I've been taking vitamin D for years. Under 30 is considered insufficient, under 20 is deficient.

I mean, yeah, sure, don't chug bottles of the stuff without measuring for years on end, but you have to take a lot to hit toxicity levels. And periodic bloodwork to keep an eye on numerous metrics is a generally good idea anyhow.
Related -- just abject corruption:

https://www.nytimes.com/2022/04/27/us/politics/trump-pandemi...

> The $2.2 trillion pandemic relief package that Congress passed in 2020 included a $17 billion pot of money set up by Congress and controlled by the Treasury Department to assist companies that were considered critical to national security. In July 2020, the Treasury Department announced it was giving a $700 million loan to the trucking company YRC Worldwide, which has since changed its name to Yellow.

...

> The loan raised immediate questions from watchdog groups because of the company’s close ties to the Trump administration and because it had faced years of financial and legal turmoil. The firm had lost more than $100 million in 2019 and was being sued by the Justice Department over claims that it had defrauded the federal government for a seven-year period. It recently agreed to pay $6.85 million to resolve allegations “that they knowingly presented false claims to the U.S. Department of Defense by systematically overcharging for freight carrier services and making false statements to hide their misconduct.”

> To qualify for a national security loan, a company needed certification by the Defense Department.

> According to the report, defense officials had recommended against certification because of the accusations that the company had overcharged the government. They also noted that the work that the company had been doing for the federal government — which included shipping meal kits, protective equipment and other supplies to military bases — could be replaced by other trucking firms.

..

> Yellow had many connections to the Trump administration. The company had financial backing from Apollo Global Management, a private equity firm with close ties to administration officials. Mr. Trump had selected the company’s chief executive, Darren D. Hawkins, to serve on a coronavirus economic task force. And he had nominated the company’s former chief executive, William D. Zollars, to the U.S. Postal Service’s board of governors.

..

> A law firm representing Yellow sent a letter to Mr. Clyburn before the release of the report defending the company’s actions and describing many of the allegations as “baseless.” The company stood by the trucking services data that it provided when applying for the loan and said that Yellow has paid more than $25 million in interest on the loan. The letter also noted that company had settled its dispute with the government last month.

> The letter, which was written by Marc E. Kasowitz, who was previously Mr. Trump’s personal lawyer, was provided to The New York Times by Heather Nauert, an adviser to Yellow who was previously a spokeswoman for Mike Pompeo, Mr. Trump’s secretary of state.
Read philosophy?

Don't follow anyone's specific path, follow your own. Everyone remembers their first philosopher and the rest is history.
Encourage them to get a trade.
How does that work without batteries? Where does the energy go?
> Question is always: what's externalized and what isn't?

In many (most?) electricity markets this is a non-issue because on the producer side, the price they get is determined by a spot market. Rather than every producer getting paid $0.05/kWh (or whatever) all the time, the price is calculated every hour/minute according to supply and demand. That means producers that generate electricity when there's an abundance (eg. renewables on a windy/sunny day) are penalized accordingly, and producers that generate electricity when there's a shortage (eg. peaking fossil fuel plants) are awarded accordingly.
I believe they should have instead phrased it something along the line of "AI facilitates a new generation of Skiddies [1] lowering the bar even further to malicious behavior without much technical knowledge." or something along that line. They're not wrong.

Now a person with little or no technical knowledge can ask an LLM in plain English how to generate a more complex script that does {x+y+z} vs. at least having to know some degree of a scripting language or being limited to one of the well known and defended against skiddie tools that only perform {x}. A theoretical example would be a low-tech person taking full control of an internet connected car on a live highway. It's been done by technically advanced researchers [2] but now the bar to entry is now a lot lower and LLM's may likely keep up with the latest working exploits. That specific exploit was patched but there will always be new ones.

[1] - https://en.wikipedia.org/wiki/Skiddies

[2] - https://www.youtube.com/watch?v=OobLb1McxnI [video][46 mins]
That is spot-on. The fact of the matter is that it is Apple VS x86, not ARM. The M1/2 have dominant mindshare due to being actually better.

On Windows, ARM products just suck. The product is just bad because there is no reason to use it. The chips available are worse than x86 and then the software issue is bad due to a whole set of reasons that Microsoft can't change on their own..\
Google has that last 10% probably, ChromeOS moves ARM devices all day, every day. Just cheap ones.
Why would I want this fridge??

Why is the ice ejector in the cold space at all? That should be a countertop tool, it's just wasting space.

Slide-out shelves increase the chance of knocking things off and they're almost certainly not adjustable.

I see *one* good feature--everything in the door has covers which means it doesn't warm up as much when you open the door. I'd like to see that in the whole fridge--everything is behind doors to minimize air spill and make it clear exactly where the load limit is.
Can you lose something if you never knew where it was to begin with?
> the same issues with glare

True, but that is a property of the products, not of the technology. (It seems that they are not using external layers of the highest quality.)

So it may be possible to find an EPD display with a decent anti-glare finish. (It may also depend on the production batch.)
While true, recent studies show that ride-sharing apps reduced deaths due to intoxicated driving by over 6%, which amounts to hundreds of lives per year.
I can remember hyped up news after Watson; personally I was hyped up after Creatures (though in my defence I was a teenager and hadn't really encountered non-fictional AI before); before those there was famously the AI winter, following hype that turned out to be unreasonable.
Pensions seem like an outdated concept, when 401Ks and IRAs are options. Pensions are essentially a tradeoff of lower pay now in exchange for benefits in the future, with a sprinkle of an incentive for increased retention added in, but with the critical downside (to the employer) of it basically being an unbounded, undefined financial downside for them at the tail end.

Employers should pay people, contribute to their retirement funds if further tax-advantaged incentives are needed (and society can and should have further discussions on how complicated these tax laws are), but people should own and be in charge of their own retirement funds.
The wait time for IPv4 address allocations from the RIRs is years, and probably getting longer at least as fast as time is passing.

The most common way to get addresses is now on the resale market; they are currently trading at $40 or $50 per address (depending on the size of the allocation) tho prices have been as high as $60. For example, see https://ipv4.global/reports/

The minimum allocation is a /24 so you can expect to pay more than $10,000
> "if the displayed prices include tax, you will become desensitized and won't notice it if the government increases the tax rate!"

Which is also a weird position to have, since nobody suggested getting rid of the price breakdown that gets shown at checkout. I'm sure companies would still love to show tax if half of their price is tax.
this is not accurate, mongodb's vector search engine cannot be sself-hosted
Could this time be different? The tools are now in the hands of the "masses", not behind closed doors or in lofty ivory towers. People can run this stuff on their laptops etc
Fair enough, but...trucking? Isn't that kind of an established market?
Horror of ‘Firestorm’ Introduced by Europe’s Deadliest Bombing Raid 80 Years Ago
You know this is market right? They can't just charge whatever they want. If their service is worse than competitors and they are unable to make it better they need to undercut the competition. Sometimes businesses fail, that doesn't necessarily mean the strategy was bad, could've just been bad execution.
I cannot recommend TensorDock enough! Their customer attention is absolutely incredible and their platform tooling is also exceptional.
I mean, everyone hyping up kale as a supergreen on their social media doesn't make Kale --- the vegetable --- a security. Likewise, people shill GOLD on twitter all the time. Is gold a security?

If kale and gold are securities under the current interpretation of the howey test, then the howey test needs to be rewritten.
I've lived with two of these (at home growing up, and later via a roommate) and I hated both of them.

The toast slot is too narrow. You can't heat a bagel - well, technically you can force it in there, but it won't come back out with some help from a utensil.

They get flakey and you end up bouncing the toast a dozen times to get it to lower. Yes, I know there's an adjustment, but it's finicky and annoying. It's a toaster for crying out loud.

Yes, the design is ingenious, but there's a good reason they aren't made anymore.
There is https://pypi.org/project/sqlite-vss/ released a week ago.
Wow, TIL xD
Dan Olsen is fantastic. “line goes up” is great. So is Hhis video is about flat earthers.
Unsure mate, if you have to pay $200k to get your foot in the door then the system is rigged in favour of the elite (again).

I think you're suffering a bit from sunk cost fallacy and a little bit of "got mine", there's absolutely no reason to continue this.

I (and practically all of my friends) may be outliers, but if nothing else it's proof that you can do highly specialised jobs with vocational education.

As mentioned, higher education has massive value to society, but if it is product that forces you into a considerably unfavourable economic position from the beginning of your career, and certainly not as a gate for establishing yourself to employers -- that it has been used that way does not mean that it's a good idea.

There are many stupid things we do as a society, like changing our clocks backwards and forwards every year; the only reason it continues is inertia and our stubbornness to change.
Alpine's community has always seemed kind of "slap this together" combined with "figure it out yourself". I remember trying to contribute and it being a pain. Advice to the maintainers: spend a month or two finding ways to make it easier for us to contribute, and we will.
Hey, I'm from Pinecone. What scale are we talking about? Many of our customers come to us with 500M–10B embeddings precisely because other managed solutions either ground to a halt at that scale or cost even more.

Even so, driving the cost down for large workloads like that is a priority for us. We recognize the GenAI / RAG stack is a completely new line item in most companies' budgets so anything to keep that low can help these projects move forward.
The "college is dead" crowd generally refer to people pursuing majors with no reasonable impact on their earnings, which is the overwhelming majority of people. Somebody who goes to school and decides to major in sociology because they find the classes fun, isn't going to be repaying their $200k of debt anytime soon.
Because they leak coolant. And turns out the old coolants destroy the ozone layer.
I’m fairly certain some are just prompt prefixes. Maybe a lookup to some 1st or 3rd party dataset
I would not recommend Wendy Doniger's works for the beginner.

She has more of a interpretive approach (which is not clearly spelled out) rather than a direct translation and hence highly controversial. Her works seriously suffer from The Danger of a Single Story syndrome (https://www.youtube.com/watch?v=D9Ihs241zeg) towards the culture they purport to explain.
From what I understand, that should be possible with Fly.io, using the fly-replay header to denote requests that need to be run against the primary database. I'm not sure if that's still their recommended approach, though.

EDIT: https://fly.io/blog/globally-distributed-postgres/ talks about how this can work. The approach it suggests for implementing this is to try running all database queries locally; if there's an error from the local database being a read-only replica, add the fly-replay header pointing to the primary region and return an HTTP 409, and Fly's proxy will rerun the request in the specified region. There's also some commentary on handling consistency issues to at least get read-your-own-writes.
Everything can be replicated with time and money.

All the usual things.

First mover

Features

Integrations

Platform synergies
This is, of course, why you should always investigate the corporate structure of your appliance makers. There certainly are high-end, or at least highish-end brands in that camp, but it's not all of them.
I finished Vector Calculus last year and have no experience in machine learning but this seems exceptionally thorough and would have made my life easier having a practical explanation over a mathematical one, but woe is the life of the engineering student I guess.
Would you happen to know if it is possible to convert an existing Latex document into Typst?
> Instead, orient them toward entrepreneurism. A business as simple as landscaping or construction can be just as financially rewarding as being a corporate desk jockey ... and even more so in some cases.

The key word is "can". About 20% of businesses will fail in a year; about half will fail in five [1]. That means that unless everyone is a serial entrepreneur, most entrepreneurs will still end up needing to work a "traditional" job for most of their careers.

[1] https://www.bls.gov/bdm/us_age_naics_00_table7.txt
darn any chance you could send one to me? ethan at mixpeek dot com
This is explained by the simple idea that only a few companies are in an arms race to create a general purpose intelligence, and when they do all of the ai-powered systems will naturally consolidate or “become flavors” of this GPI AI.

So what substantive and defensible advantage is your money buying in the AI ethos when this effect is essentially inevitable?

Answer: not much.

So it’s very logical that the team, book of business and the tech platform itself are what are driving valuations.
The Internet Is Broken and Will Never Be Fixed
See https://news.ycombinator.com/item?id=36943866 posted ~40 minutes earlier.

BBC on Mastodon: experimenting with distributed and decentralised social media (bbc.co.uk)
Indeed, this is an awesome tool, especially love its speed multiplier with a key so you can easily scroll within long documents! (or even medium ones)
I would presume it was because the union contract did not allow them to lay-off or furlough any workers, and they'd lose less money by being 'cheap' than by being more expensive and having workers sitting around.

Put another way, their labor was probably their largest cost center, and a fixed cost, which means that their marginal cost to provide the service was actually low, but the company was unprofitable due to their fixed costs.
Same with the Chernobyl disaster. There was a breif moment in time when the engineers could have safely shut the reactor down, but after that moment passed, it became a "choose you own doom adventure" and the rest of the story is more or less about how people coped with that largely unknown fact.
I feel like this is a massively underappreciated view in general.

I always see people talking about how brilliant it is to run your own business / be your own boss, but I think there's immense value in just finishing and going home at the end of the day.

I say this as a director of a SaaS company...
If this is a bad economy, please tell me what a good economy would look like
Ok, in the case of Uber it's undercharging and living off investments (from investors who hopefully know what they're doing), in the case of this 99-year old company it's undercharging and living off federal bailout packages (paid by the taxpayer). I would say that's a bit different...
Back into the power grid.

Quote:
When regenerative braking is employed, the current in the electric motors is reversed, slowing down the train. At the same time, the electro motors generate electricity to be returned to the power distribution system

https://www.ctc-n.org/technologies/regenerative-braking-trai...
Is it how it works in the EU? Has it worked well for them?

If the cost of initial operation were prohibited to be eaten by investment money, why the cost of development would not be, by the same logic?

I do think that there are cases of competition stifling through dumping, and that's illegal for a reason. Unfortunately, things are not as clearly delineated as with e.g. burning down your competitor's factory.
What would you say is your biggest frustration with Matrix's design as a protocol? I have some of my own opinions writing bots and such but I'm curious about the perspective of a homeserver implementatiom maintainer.
I'm maintaining an internal change-data-capture application that uses a python library to decode mysql binlog and store the change records as json in the data lake (like Debezium). For our most busiest databases a single Cpython process couldn't process the amount of incoming changes in real time (thousands of events per second). It's not something that can be easily parallelized, as the bulk of the work is happening in the binlog decoding library (https://github.com/julien-duponchelle/python-mysql-replicati...).

So we've made it configurable to run some instances with Pypy - which was able to work through the data in realtime, i.e. without generating a lag in the data stream. The downside of using pypy was increased memory usage (4-8x) - which isn't really a problem. An actually problem that I didn't really track down was that the test suite (running pytest) was taking 2-3 times longer with Pypy than with CPython.

A few months ago I upgraded the system to run with CPython 3.11 and the performance improvements of 10-20% that come with that version now actually allowed us to drop Pypy and only run CPython. Which is more convenient and makes the deployment and configuration less complex.