skysight-inc/HackerNews huggingface dataset:
the movie "Smoke"

especially the scene where Auggie tells his friend (Paul) to... slow down. https://youtu.be/JGV_h36uZ5E

at the time, it felt society was telling me to 'speed up', get this done, achieve that, yayaya.. but I sorta preferred taking the slower route. This scene helped cement that mindset. Tall trees grow slow.
I'm assuming author is aware of (E)Links?

http://links.twibright.com

At least Links seems to have a DOS version.
Nope. I could train someone to update, commit and push edits to markdown files, but the rest will be a lot harder.

Eventually the static website will need bigger updates. Then they'll need a full stack web developer. Someone who knows SEO and marketing wouldn't hurt. Oh and UX too. Technical writing experience wouldn't hurt.

But even then, they will still miss the huge amount of context and obscure domain knowledge I have acquired over the years. They won't have all the connections to industry experts.

I love being self-employed and wearing so many hats, but it makes me quite hard to replace.
I did something akin to that with the following monstrosity of DevOps:

- set up Kafka

- set up Flink

- CDC on your DB, into Kafka

- have your server maintain a websocket to clients, read Kafka from it, and dispatch messages according to a field from Kafka

- put your reaction logic into Flink, insert into the Kafka topic read by the server

I even went to opening JIRA tickets in Apache Flink, so that you may choose the Kafa topic to insert to dynamically. In case you have multiple servers to dispatch messages to.

It was very clunky, and a pain to operate. However it was short-lived and is no longer a concern of mine. What I got away from that: adding a time to data serving is just multiplying the complexity of data bugs you can have.
Maybe I'm misunderstanding, but you said anything goes, so here goes:

If rerunning entire queries is the problem, can you implement a changes table (could potentially double as an audit table if desired) which on a basic level just has time and rowid. Then you poll that table for anything newer than your current timestamp. Say for a report with 1000 rows, only 2 have changed in the last second. Then you can just do a query of the big table on those exact rowids.

The benefit over having timestamp in the big table is the changes table can be kept to a minimal size. You don't need to store any more than, say, a minute's worth of changes. Anyone visiting the page for the first time or that far out of sync will poll the whole report.
C++ library for composing modular firmware at compile-time
That's totally fine if you believe that. I only took issue when I saw you in 3 different parts of the thread saying the authors should be ignored because the publication engages in "race baiting."
Or press the power button five times quickly
Isn't the whole point about size of market to encourage openness and competition?

If I'm a five person start-up, compliance with rules can act as a barrier to entry, and keep a market to only established players. If certain rules only kick in when I am established enough to be able to comply, then that's encouraging smaller entities at the expense of larger.

Saying one should encourage open protocols and privacy is all well and good, but how can one do that, and more importantly, how can one enforce it when abusive companies purposefully act contrary to that.
Good question. Not about the claims process but about state programs being generally underfunded and not underwriting the risk properly. If multiple insurance companies cannot underwrite the risk properly, how can a state government do it any better and at a sometimes affordable price. Maybe everyone is baking in the idea that the state will just get a bailout from the federal government.

I also believe that it creates a perverse incentive for people to continue living in unmaintainable habitats. We also hear talk about how can these cities with no water continue to survive, its not maintainable etc. Well neither is living in a hurricane prone area or high fire risk area.

The options for these funds are often fairly limited too and not covering even 50% of the loss. YMMV.
There are a few which sit in a decent middleground. Kia and Hyundai EVs, BYD, Nio, Polestar all have a decent amount of physical controls to varying degrees. It's a shame that Volvo went in the opposite direction.

I don't think we can turn the page back on central touchscreens though, there are way too many features and settings that you cannot translate into physical buttons.
And that probably would happen.
That’s why you’re picky about tool choice in the first place.

Using Notion as an example, your entire workspace can be exported in standard formats.

https://www.notion.so/help/export-your-content

It’s not zero effort to migrate, but for a small business migration should be both rare and not so bad.
Llama 3 70B seems to handle it just fine:

A classic lateral thinking puzzle!

Let's break it down:

* Jack has 15 sisters.
* Each sister has 3 brothers.

Now, here's the key insight: if each sister has 3 brothers, that means each sister is counting Jack as one of their 3 brothers!

So, how many brothers does Jack have? Only 2 The other 2 brothers that each sister is counting are actually Jack himself.

Answer: Jack has 2 brothers.
The demands on UX and UI have fast outpaced the ability of designers and their software to deliver on it. As new requirements come along, we are forced to make different trade-offs to those we made in the past, and perhaps that leaves those of us who don't need the new requirements feeling like the software has "got worse", ignoring the benefits to others.

To take one example, 99% of monitors in 1997 were 1024x768 CRT with single pixel density, which freed designers to assume that's what their end user was on. No such standard exists today.
Because Visual Studio is windows only.
This is amazing!!!!
> I wonder if there's even unused data out there?

I think you're massively underestimating the amount of data out there. The challenge is how to access and categorize that data.

Every usenet message, forum post from old school bbs to php forums to modern javascript abomination and closed discord boards, every email, every text message, every irc message, ...

Those are probably a pain point to access due to rules and regulation and yada yada, but that alone dwarfs the 15 trillions, and you've not even started on actual quality content.

(not saying these would specifically be good for llm, just answering to your "unused data" assessment)
The Basics of Legibility: A Short Guide for Non-Typographers
Why do professional software developers use Visual Studio in the first place?
No, I literally mean weight, I am aware you will lose both muscle and fat. Yes, there are biological processes that can affect that process, but the gist is the same. If you don't eat, you will lose weight.
Pixel hardware fails because they don't have good distribution channels. No mobile contracts include a pixel phone. Many mobile contracts have iphones or samsungs attached.
1) obviously, when the people doing the inferencing are different from the ones doing training, training cost does not matter to inference.

2) Almost, Chinchilla concerns itself with minimizing cost(training) + cost(inference). The expectation most people have is that there's an insane amount of inference compute, and training is maybe 1% of that. The point of the Chinchilla paper is that that's not true, training uses such insane amounts of compute that despite all model inference by half the internet for a year or two is a huge amount of compute, training is still a very decent percentage of that. I believe in one of the examples they pointed out that even the whole internet inferring with a model for years was still only 20% of the cost of training that model.

People expect it works like compilers, that making a compiler produce 1% faster code is worth 50 highly-paid SWEs because while an individual program run isn't exactly expensive, the time and resources spent running programs is astronomically larger than the time and resources spent developing compilers.

The thing is most of the optimizations we know don't work during training. You can't quantize, you can't MoE (well, you can, obviously, but it doesn't save any training computation. In fact it increases training cost)

At 50-50, having a 10% cheaper-to-train model justifies 10% more expensive inference.

3) Combining both arguments ... at this point people should probably realize that Facebook's LLama is really an attack on Google (which is at least partially working, elon musk is tweeting about it)

If Facebook really doesn't care about AI (or ... about as much as, say, netflix does. Not zero, but as long as they beat reddit's efforts they feel very comfortable), but Zuck does care about destroying Google, the calculus changes. Zuckerberg may not want the best possible AI, he may want as many scammers as possible trying to Game the Google search quality team, to present them with challenges faster than they can adapt. Then the training cost becomes a moot point.

Hmmm, I should send my CV to meta ...
You are right, as Josh Triplett also pointed out above. I was mistaken about the plans to stabilize the ABI.
I read it as an erosion of the implicit assumption that ads bring in the money, and projects like Android and Chrome spend it, indirectly empowering the ads division. "Why can't we just focus on eating the cake? Those guys in the bakery with their funny hats and food-grade tooling should grow up and learn to stand on their own feet without our handouts." Pixel hardware is the closest thing Google has to a division that could sustain itself from revenue streams unrelated to ads.

Probably makes a good impression on shareholders who'd prefer to see all divisions disinvested but the money counting one.
> median salary [...] after taxes $30,858. Mortgage [...] with $2017 monthly payment

Leaves $6,000/y or $500/m for everything else. Feels... Precarious.
Because it is world class IDE, which is by far ahead of competition (except rider) for C#?

I wish evey Lang had as good IDE as vs is
Llama 3 vs. GPT-4 vs. Gemini Pro
A Product to make your own educational Ebooks with AI
Mistakes I Made Making My First Saas

Being a computer science student, I realised that I had never actually made and deployed full-stack application before. I watched a YouTube video about a guy who had made an ai ebook Saas (ik ai hype train ) so i said to myself, 'if he can do it, why can't I?' This led me on a 1.5-month journey through something that I can safely say changed my life.

At the time of writing this, I have made one sale and i never realised that the small amount of money I made could feel better than any money I had made previously at part-time jobs. Anyway, so here are a few mistakes I have made along the way.

Imposter syndrome. At the beginning, I was completely overwhelmed with the amount of tools at my disposal. I ended up wandering aimlessly for like 2 weeks not knowing where to start and watching loads of youtube videos. Not knowing everything is okay, even necceserry in my opinion so just dive head first and give it your best shot.

Don't use AWS for everything: This could be my lack of experience speaking but I tried using aws for everything even though there a multiple better individual offerings available with generous free tiers instead of racking up a bill on aws. I now use vercel to host instead of ec2.

Not using free UI components: It's evident from my website I bassicly did everything myself. I'm not saying it's bad to do so but understand when other people have made components which you can use and modify instead of painstakingly modifying your own components for mobile etc

This is all I have time for atm but lmk what 'stupid' mistakes you guys made on your journey.

Alwyn :)
They don't. The point is, there's nothing in this report suggesting the water has caused the truck to stop working, despite what the headline implies.
As in Llama3 8B? You can see the size of the files from Ollama using the FP16 one https://ollama.com/library/llama3:8b-text-fp16
Yes, they're either already getting into it behind legal facade, or aiming for it as the next eldorado of data. Facebook has whatsapp and messenger, microsoft has skype and outlook and exchange and msn messenger, google has gmail and all your text message and their bazillion chat apps and usenet and irc and ..., apple has imessage and icloud emails and ... There is so much data there, it dwarfs those token count.
also, an LLM is not learning phrases per se but the relationships between tokens
Oriole are joining to work on the OrioleDB postgres extension. That's slightly different to this release:

- This: for managing large files in s3 (videos, images, etc).

- Oriole: a postgres extension that's a "drop-in replacement" for the default storage engine

We also hope that the team can help develop Pluggable Storage in Postgres with the rest of the community. From the blog post[0]:

> Pluggable Storage gives developers the ability to use different storage engines for different tables within the same database. This system is available in MySQL, which uses the InnoDB as the default storage engine since MySQL 5.5 (replacing MyISAM). Oriole aims to be a drop-in replacement for Postgres' default storage engine and supports similar use-cases with improved performance. Other storage engines, to name a few possibilities, could implement columnar storage for OLAP workloads, highly compressed timeseries storage for event data, or compressed storage for minimizing disk usage.

Tangentially: we have a working prototype for decoupled storage and compute using the Oriole extension (also in the blog post). This stores Postgres data in s3 and there could be some inter-play with this release in the future

[0] https://supabase.com/blog/supabase-aquires-oriole
To go through the motions? Sure. To do the job right the first time and completely, not a chance.

It takes more than a month to come up to speed in a new environment - new tools, new processes, new goals and constraints, you go home every night with your head hurting and tired from sweating it.

And that's if you've done most of it before. Getting that context, internalizing it so you can do the work without second-guessing yourself on every little thing, that takes a long time for anybody.

Velocity, the Agile people call it. That's why folks are paid less, maybe half what an experienced 'resource' gets paid, for maybe a year. Until they do enough to be worth keeping around!
Why do professional developers use C# in the first place?
> You are only new once.

Really comforting
Why do professional software developers use an IDE in the first place?

(vim and a bash shell are all you need)
I agree that there were many factors, and I didn't say the Alamo was all about slavery, but apparently a large component.

Losing the ability to profitably harvest cotton was a major factor, according to this winner of that Texan historical prize.

Learning history as kid in Massachusetts, the fact that slavery was any part of the Texas Revolution was never mentioned.

> Texas Convention of 1836

> ... It also explicitly legalized slavery... [0]

Somehow we were never taught any of that. But I get it, it's nicer to wrap up history in a nice bow when teaching children.

[0] https://en.wikipedia.org/wiki/Texas_Revolution
I assure you Notch did not mean to make a game of RNG reverse engineering.
Because despite what HN says, the vast majority of actual paid work is still done on Windows PCs using a locally-running application.

If you want to sell a Windows Desktop application to your customers, you probably want to write it on Windows.
Someone tell this guy about swipe typing
>This has happened to me on every major platform. YouTube as well - post a comment someone doesn't like and they downvote all your videos lol.

Oh for sure, I've had this happen on reddit many times as well. This is obviously one of Facebook's clear advantages and also why Youtube stopped showing the downvotes.

> but it's still interesting how much power random non-experts can have over the visibility and integrity of online information - especially if they're say a Reddit or Discord moderator. They effectively control what the general public sees and perceives as correct.

This is the real reason why Reddit, HN, and others are doing this. They intentionally want to be able to curate content. They WANT the echo chambers.
I am not ignoring it nor did I say to ignore it. I simply dispute what they said.

If anything I want people to read it and see how trash it is.

Just don't be caught off guard if you use a "fact" of theirs and get embarrassed for being wrong.
I know it's off topic, and ycombinator's rules discorage meta discussions, but I just want to say at least once, that in contrast to other discussion boards, here I can trust that somebody will come up with a well versed response to an evenly thought out post, pointing out the gap, if one exists. So kudos to you both.
The gravity of ASP.NET, SQL Server, AD, etc. Is hard to break out of
Pretty much every LLM is a google competitor now. I guess Meta's unleashing of AI is a huge thread to google's moneymaker.

Maybe they see the writing on the wall and want to become Apple 2. Bad news for Samsung?
IntelliJ seems pretty close, at least in the languages I’ve used it in.

Xcode used to be good as well, but now it seems slow and crashes all the time. It’s a terrible ambassador for the engineering culture at Apple.
"Merging teams" is such a Google thing. Merging DeepMind and Google AI, Waze and Maps, Fitbit & Nest and Pixel come to mind. I don't remeber reading such stories from other companies. Is my perception off or is "merging teams" something that Google likes to announce loudly and other companies don't or do other companies "merge teams" less often? I would like to have some input to this.
Yes. That doesn’t mean that they haven’t ran it into the ground.
Spoon.

But also no sugar and no tea/coffee. Energy drinks all the way.
I think pair programming cannot be made cost effective.

I am quite a fan of pair debugging.
What I always say: "When you're really hungry -- I mean really hungry -- nothing satisfies like food."
Because once a program is large enough, you can’t fit the whole thing in your head at once. Tools which help you bounce around and refactor code en masse help keep complexity under control and make you more productive.
On the first point about the "aging models," the Model Y is currently the best-selling car in the world, outselling much cheaper cars. It doesn't seem like it's in dire need of a refresh.

The Model 3 isn't far behind, and actually did just get a major refresh. The new version is much more refined. Something similar is in the works for the Y, probably about a year out. The article seems unaware of this, saying Tesla should "fully remodel the Models 3 and Y" over "the next four years."
Reminds me of this old Yahoo commercial:

https://www.youtube.com/watch?v=MxsftGNpFaI
> Why chocolate is skyrocketing in price

Step 1: Create fear.
Step 2: increase prices.

Worked for centuries.
Maybe he did. Casablanca is a superior movie.
> The fools who write the textbooks of advanced mathematics — and they are mostly clever fools — seldom take the trouble to show you how easy the easy calculations are.

Yes this hits the nail on the head

The explanations overall look simple, maybe too long sometimes, but that's a killer prelude
Having used Visual Studio and Rider myself, I can say with confidence that you are correct: Rider is miles ahead in terms of stability and usability.
Great article, I like owls even more now. Didn’t know they are that silent.
Is it surprising that a macroeconomic model of this type is surprised by large scale convulsions in the economy?

The combination of a pandemic and rapidly deteriorating geopolitics is a compound external shock that does not exist in its training data set (The last energy crisis occurred almost half a century ago).

How do large dislocations affect a model of such complexity is hard to say. Take e.g. the formation of expectations:

> A distinctive feature of FRB/US is its ability to switch between alternative assumptions about how economic agents form expectations. Under the VAR-based option, expectations are derived from the average historical dynamics of the economy as manifested in the predictions of estimated VAR models. Under model-consistent (MC), agents are assumed to form accurate expectations of future outcomes as generated by simulations of FRB/US itself.

Neither option rings particularly well adapted.
Intellij is ahead in my experience
Well, this is great news. I'll take "just works" guarantee any day ;)

We have yet to make a commitment to any one product. Having Postgres there is a big plus for me. I'll have to see about doing a test or two.
The players with e2e encryption (imessage, whatsapp) would need to do some kind of client side edge device training. Possible, but hard to do with nobody knowing, and edge device training usually involves big quality compromises.
The answer, of course, is that everyone sincerely agreed it would be beneficial to have the quacks wear wizard hats (to keep them from getting a big head)
By the time the sparks appear, you're already hit. It doesn't take a second or any time for them to hit something. They're actually hitscan. That tactic can still work against them but generally not without a cost to shields, at least not if you take the time to see the sparks.

You can use that tactic effectively to deal with other kinds of robots without taking a hit because their projectiles take time to travel. And Descent 2 and 3 had gatling gun robots that IIRC were not quite hitscan, so you could in principle do that with them too.

Homing missiles are great against the (visible) vulcan robots but you still need to know where they are, or spend missiles speculatively.
I don’t think I understand what you are after. Do you want a frontend framework that takes care of table and row based state management? A notification system that pushes changes made to the backend database to the browsers? A database that can push out results of complex queries to browsers using some sort of magical scalability?

Your requirements aren’t really clear, but I suspect you are asking the wrong questions.
If your car doesn't have rain sensors, a powered charge port, automatic door handles, collision warnings, automatic emergency braking, auto parking brake, etc, then yes, nothing to worry about.

ICE higher-end models can also have a lot of assist features that need to be disabled in a car wash.
>But you can use sensible rules for this like "does this impose a significant negative externality" that neatly allow you to exclude a landfill from a residential area but not a new residential building.

This is exactly what the planning commissions use. Apparently the separation is not as neat as you believe.
I wonder how it performs under WSL. I assume worse than the suggested benchmarking tools, but far better than the outdated Iperf3 version using cygwin that the page references.
I managed until I didn't, and the admin was what got me in the end - 10 years later I was diagnosed with adhd so I could at least forgive myself for being so absolutely awful with record keeping.

Back in the day though I used outlook calendar entries as the basis for my billing as I used windows mobile on a motorola flip and had sbs2003 running exchange with a custom app that would read the calendar entries and let me assign to a customer and create an order - once I had a number of orders I could create an invoice and send via email.
I enjoyed using Meteor. It is magic at first, and still rather elegant when you get into advanced stuff. The main downside for me was that it uses Mongodb. We had to denormalize heavily to get it working acceptably fast. There was talk about Postgres support, so maybe that is solved.
One of the Best designed languages and most sane ecosystem by far

I did c, cpp and c# for money and thats my experience.

C# has lowest amount of WTFs per loc