skysight-inc/HackerNews huggingface dataset:
Not sure how you come up with point 1 when talking about auctions of a very limited resource. Lets focus on the point 2.

You are vastly overestimating buying power of the richest people. Lets assume that some of them are really irrational and want to buy access to the single place by selling whole their wealth.

X entries per day, 365 day in a year, that is 3650*x tickets to buy out to cover 10 years.

Musk wealth: 171 000 000 000

Divided by 3650 = 46 849 315

If we sell only 50 tickets daily it is less than million of $ that Musk have available for each ticket.

There is over 60 million people with wealth higher wealth than that. (https://www.statista.com/statistics/203930/global-wealth-dis...).

If park increases number of tickets to 500 daily (~21 per hour) then we are talking about 600 million richest people that can try to outbid Musk on a single ticket.

In reality people like Musk probably would never spend even 1/100 of their wealth for any single attraction. If they had, they would not be that rich. Additionally park could easily increase number of tickets if those are not used.
They were invaded! How do you not put military equipment in a residential area that is being invaded. Utter lunacy.
>old supercomputers also sucked at latency too

So why would you expect it to be better if you shrunk them down to micro size? That is the whole point of my comment, that the observed latency is better explained as a function of hardware/software complexity and not "year of production". If you understand this, it should not surprise you at all that most contemporary desktops have the latency characteristics they do since we have seen it before in the old supers/workstations, their closest equivalents in terms of hw/sw complexity and capability. Of course it could be better and some are but you won't find them in that article.

>but these 'toy' computers are capable of running a word processor or spreadsheet, writing email, browsing the web (without js), compiling c, running an ide, etc. the zx spectrum even had a first-person 3-d shoot-em-up called elite. so i don't think it's pointless

Can it perform those tasks all at the same time like we expect now or like a mainframe/workstation user would have expected then? When you look at the entire landscape of computing hardware and software it is difficult not to see the early micros in that light. An extreme example would be the Altair 8800. I don't see how you could describe that computer as anything other than a plaything for enthusiasts. I made the analogy between modern desktops and old supers which you seem to agree with; could you even say that an early micro is the rough equivalent of a 50's mainframe with a straight face? It should be but the analogy is more difficult to justify: 36-bit vs 8-bit words, FORTRAN vs BASIC, FPU (some) vs no FPU, at every level of the analysis there are compromises. It should be clear that the micro represents an extremely compromised version of general computing that would be alien not only to us but to the serious computer user in the 70s/80s and yet their characteristics should be held as a benchmark for computing devices in general? Outside the context of "the home computing experience" they make for a poor comparison. Unfortunately there is great ignorance in this area due to the disproportionate focus on micros when discussing historical computing. Videos and articles on the Apple II series, awash with insufferable amounts of sentimentality, are a dime a dozen but you will be lucky to find anything on the IBM TYPE 704, a much more interesting and equally significant machine.
Glastonbury Festival does non-transferable by having a long period to register interest and upload a photo of yourself, then if you snag a ticket your photo gets printed on it and checked at the entrance.

Their primary problem was resellers - it's still a scramble when the ticket sale begins.
If you're sensitive to a 25% performance improvement, why not switch languages and get a 1000% performance improvement?
Collateralized ERC-20 Token
This repository presents a set of smart contracts for creating Collateralized ERC-20 tokens. Such tokens are backed by other ERC-20 tokens, providing a lower bound for their value and stability. Collateralized ERC-20 tokens can be used in various applications, such as loyalty tokens, stablecoins, asset-backed tokens, and tokenized commodities. Such tokens are immune to inflation, as their value is tied to an underlying asset. The concept is similar to "Wrapped Tokens", but the ones presented here are tailored towards the use case of project-specific tokens emitted to its users or investors.
Great product! It's been a while since I bookmarked something so quickly. This may very well become my new homepage, or I might parse the RSS into something that appears in my terminal welcome message.

Quick suggestion: parse the URL to determine which media organization published the content, and then allow for users and/or the LLM to leverage info from Media Bias/Fact Check[1] to determine if a source is valid. I'd like to see how it arrived at the conclusion of why the article got it's given score.

I would 100% pay something like $2 month for a daily feed of ranked headlines with links.

I (somewhat ashamedly) get most of my knowledge of current events through reddit, because it's more convenient than aggregating that knowledge myself. However, I also completely agree with the idea that a collective of Internet users is not the best tool for aggregating news, as many popular news/current event subreddits have devolved into echo chambers and astroturfing.

The point of saying this is that I know my approach to collecting knowledge about current events is flawed so I'm okay with replacing it with something else that isn't perfect: it just has to be better and more reliable than my current method.

1:https://mediabiasfactcheck.com/
I really feel like microservices primarily solve people/team organizing problems more than it solves any computing problems.
Even here in Barcelona I see this. It started during Covid. But some restaurants have hung on to this. In particular Asian ones.
Ask HN: Tell us about the biggest tech disasters you were a part of
Isn't ubuntu Microsoft ?
I do not care about the downvoting it is unfortunate that there is no comment back saying why the person disagrees
I'm writing Go and Dart daily for many years (Go - 9 years, Dart - 4 years). Looking at the Go code (especially old one) I can immediately understand how and where error path is handled. In Dart code it's almost never the case – you just hope that it's handled somewhere in a right place. If I want to really find this place – it's a quest with 10-15 files open. Needless to say I end up inspecting unexpected stacktraces often (rife use of generics also lead to ubiqutuous errors like "type 'Null' is not a subtype of type 'bool'" – that's with Null safety enabled). I think Dart will be introducing even more features and pattern matching and everything-else-that-exists-in-other-languages. Complexity is piling up more and more around error handling in many languages.

Go seems to be the only one holding up the ground of caring about cognitive load on developers and code readability.
I suspect it should be possible to have something that reflects light without doing work, or at worst absorbs a small portion of the incoming light and reflects the rest. Since it will sit on a desk, it will always be under light when observed by humans.
Now everyone can try Bing Chat AI as Microsoft drops waitlist for new users
Constant motion doesn't require constant force.
Have you tried asking ChatGPT? That’s where all my technical questions start these days.

In the past few days it’s helped me with a bunch of k8s stuff (“explain this coredns log message”, “give me the kubectl command to show all events sorted by most recent first”, etc…)
It's definitely an issue if you're treating main as 'good to deploy'. Also with more devs the chance of this happening is pretty good. Definitely want to enforce a branch is up to date before allowing merge (though with a lot of devs this can become difficult) not sure if there is some sort of merge/test pipeline solution out there.
Which countries have accessible monthly rentals? I'd be interested to know for trip planning.
I think the trust issue doesn't really justify microservices. Assuming everyone is using interoperable languages you can still have a monolith with clear API contacts and separate ownership by using traditional libraries.

That is a good point about reliability and cost though. I hadn't heard that before.
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Currently working on Full-stack, FinTech, LegalTech and Sports solutions for clients. Worked on 200+ Web & Mobile Front-end engagements.

We are working mainly on Full-stack development with some OpenAI or LLM Integration.

Recent work:

- Past work glimpse: https://bit.ly/3Vw7Liw

- Building Youtube content recommendation engine using LLM APIs & OpenAI

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Technologies: Serverless, NextJS, Java, NodeJS, TypeScript, ReactJS, Tailwind CSS, Shopify, AWS, Kubernetes, Flutter, Java, React Native
But, by omission is reads that Prime Video rebuilt their stack without serverless and got a 90% cost reduction.

This post is going to pick up a lot of traction and I suspect these comments are going to bikeshed monolith vs microservices for the next day.

On reading it, this is for a video quality monitoring system, that needs to consume and process video. Generally a compute and time intensive task. Something not always suited to severless, particularly when it’s not easy to parallelise.

The task at hand doesn’t sound ideally suited to serverless, but the existence of the post shows that’s not readily obvious. So it’s a valuable post to explain a scenario where a few big machines is the best call.

But the sensationalism of the headline, would suggest all serverless is expensive and wasteful. When in reality the same is true for a non-ideal workload on a monolith.
The one you lost?

Google is fairly infamous for making it near impossible to recover lost account access, or appeal bans.

I have an account that I’m never getting back. I made an error, when setting it up, that resulted in me losing the password (I saved the wrong one, in 1Password). It’s been a few years, but I remember trying everything to get it back, and was stymied at every turn.

Eventually, I gave up. The reason I registered the account, was because it was the name of one of my corporations, and I didn’t want fraudsters registering it.

Mission accomplished. Ain’t no one using that account.
It’s Time to Stop Making Excuses for Amazon’s Disposable Tech (2020)
> A microservice architecture is more finely scalable than a monolith.

Apologies, but I strongly disagree and I'm going to go on a bit of a rant here....

This is a myth, and one of the reasons people are making these ridiculous architecture descisions. If you have a monolith that serves videos and enables signups, you can deploy as many instances of that as you like based on the highest need. It doesn't matter if user signups are a fraction of video watches, it just means that your user signup endpoint is not getting called as much. Maybe you're deploying a larger codebase than you need to but that's hardly a downside.

In your example, let's say we have 2 endpoints that are behind a gateway or L7 LB so that we can point them at different codebases if we like:

- videoservice.com/signup

- videoservice.com/watch

If I'm geting 100k rps to /watch, and 100 rps to /signup, I can just deploy loads of instance of my monolith behind the /watch endpoint. Maybe that monolith contains code for /signup, but it's not going to get called. So what.

I've seen this approach used in many places. You don't need to split the code to do this at all. Sure it might feel "cleaner" to you to do this, but it's not needed.

Now, you may get to a point where your deployment is really heavy and time consuming and you don't want to deploy everything just to scale up /watch - but again I'd argue that is not really anything to do with scalability, it's about being able to deploy things independently. Using a microservice doesn't make your service more scalable here, but it might make it easier to deploy.

Microservices are nothing to do with scalability. They are about how you organise code and teams to achieve better development velocity.
Build a Custom LLM Chatbot on Your Enterprise Data
You need to spend a bit of money on a comfortable and large mask. I have used this one in the past (Amazon link but it seems to be "unavailable" now: https://www.amazon.co.uk/gp/product/B07TL7VYSM).
How do we know the money goes to Booz Allen? Presumably there is some sort of contract between BAH the government to run Recreation.gov?

Does BAH keep the whole fee? Do they keep some of it? Did they get paid $0 and only get the fee?
> Why would anyone honor the results of a war in a controlled setting?

Obviously it won't work every time. But we do have controlled settings to settle disputes.

Previously if two different persons thought they ought to control a country they gathered troops and fought it out. Nowadays in many modern countries we try to channel these disputes into "voting" and "democracy".

Similarly in days of yore if your boy disrespected mine we got a good blood feud on our hand. Nowadays we try to channel similar disputes into lawsuits.

The range of conflicts and disputes we settle with force vs the ones we settle with simulated violence is not fixed.

Why do people, very powerful ones tend to agree to use democracy or lawsuit instead of unrestrained violence? Because we arranged the circumstances such that to do otherwise would impart a greater risk and cost on them. And that is the same how we can make anyone honour the result of a "war in controlled setting".
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Hey!
We’re Emergence Engineering, a small-ish dev shop from the EU. Part of our team is looking for work, we’ve been working for US & UK based startups for a while now. Our team is:

- React / Node / Embedded senior dev ( me )

- React / Node / DevOps / Postgres senior dev

- Scala / React / Node / Blockchain / GPT / Kubernetes / DevOps senior dev

- Scala / React / Node senior dev

- Two devs with deep React / Node knowledge between mid and senior level

- Two very good junior-ish devs with React knowledge

We look for a place where we can make a difference and do interesting work with a lot of responsibility, the team is well balanced meaning that we have exploring / figuring out and executing types.
Having autonomous teams is great for scaling and allowing everyone to go fast, without teams constantly blocking each other.

Having hundreds of engineers work in a single monolith in a single repo without any kind of (enforced) boundaries is a one way ticket to a big ball of mud. You need to invest heavily in tooling to make it work, and e.g. Google does so.

Having a network in between teams is a relatively easy way to enforce boundaries.
The Inflation Reduction Act (IRA) made its way into Lazard’s analysis and showed a potential for some wind and solar power projects to have an effective $0/MWh LCOE price.
Win+; gets me (´◡`)(●'◡'●)╰(°▽°)╯: .｡. o(≧▽≦)o .｡.:(/ω＼)(^///^):-)^_^:-Dಥ_ಥ(┬┬﹏┬┬)ᓚᘏᗢ
With that many people, the engine should be coded in assembly, x86_64 and arm64 and risc-v :)
Canada has higher real interest rates paid to customers? You sure? My Canadian bank account pays pretty much what my US one does, 0.00001% or something similar.
> rust because it's "memory safe" and "so fast", but they have no idea that they're doing

That summarizes hype-based design very well.
Another query language? Why can't they just implement Cypher... I still have nightmares from trying to learn ArangoDB's AQL.
So this is why OpenAI named it Whisper.
That is a highly questionable statement. For walking that is intuitively not true; most animals can walk almost immediately after birth. It would be very strange if human brains were so different that we had to learn walking from scratch. Indeed we do not; one of the most important reasons we can't walk from birth is because the brain has not grown enough yet. It grows by itself and then provides foundations needed for walking. Of course there is also a component to walking that is a learned skill that is refined.

For reading, the same applies. Our brains are equipped with many of the foundational aspects required for reading, and we only _learn_ a part what is necessary for the skill of reading.

Unlike computer models, brains are no tabula rasa. So we don't need the same input as computer models to learn.
It's interesting to read but I'm not very convinced by the added value compared to using Cython, building modules in fortran or C, or using interop with rust or nim.

Especially I think the need to manage memory manually and not be able to use a GC (or some other automatic memory managment) is a mistake. While I understand that you may need to manage the memory manually to squeeze the maximum performances in some cases, the performance degradation shown in benchmark by D, nim, Julia or C# shows that you can have a very good compromise between speed and easyness with autmatic memory management
For those who would rather use an Either type instead of returning 2 variables in Go, I made this: https://github.com/samber/mo
Threatening is one of the tools humans use to align other humans, so why wouldn't this happen?
I'm guessing it's a reference to the amphibious Lotus Esprit car used in the film The Spy Who Loved Me[1].

1. https://en.wikipedia.org/wiki/Lotus_Esprit#In_film_and_on_te...
BuildBVue – Construction Management Software for Builders
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BuildVue helps construction companies manage their projects, team, clients, and budgets.

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I wrote a networked hypertext system in 1985 but it used a binary "page" format to save bandwidth. The GUI used was GEM.

Another road not taken could have been to define a rich text format in ASN.1 and build a browser on top of the OSI network stack.
May the 4th Be with You
Happy Star Wars day!
As a never been AWS employee I can almost guarantee you the original design was most likely simple and the use of lambdas and step functions a good choice and not expensive but the functionality grew and the cost sky rocketed. This is only normal evolution of a service.
What legal issues exactly does library having microfilms involve?
because they want "cloud" on ther Resume/ CV
Slack GPT, the Future of AI in Slack
>The US + Allies lost because they didn't have the will to obliterate everything.

Hasn't the US carpet bombed Vietnam and still lost?
Reaching those PUE numbers is pretty damn impressive though.

I think the misconceptions come from enterprise DC environments with traditional hot/cold aisle designs, servers running way cooler than they need to be and peak power requirements leading to overly expensive power/cooling costs. PUE for these closer to 2.0 than GCE is to 1.0.

If you have something like GCE where you can control for all of those, i.e run the DCs hot, eliminate transient peaks, source power cheaply and use super efficient cooling like evaporative or geothermal pumped water etc then yeah, it's a completely different ballgame.

It's pretty safe to assume all the hyperscalers are doing all of these things too, they aren't stupid. :)
Text fragments: https://wicg.github.io/scroll-to-text-fragment/

Currently supported on all non-Firefox major browsers. https://caniuse.com/url-scroll-to-text-fragment
Congrats on launching, this market definitely needs more competition !

There is no mention of it in the homepage, is the dataset covering the entire world?
Those lotteries generally do have a relatively high likelihood of getting you a spot. Paying $10 for a fifty percent chance of a permit vs. paying $100 in an auction does make a difference.

I really don’t understand where your claim that poor people wouldn’t enter the lottery is coming from. That seems like a nonsensical conclusion to me.

To me a lottery seems like the perfect solution, it‘s just that some of the current implementation details suck.

The fee to enter should be quite low, its only function to reduce gambling the system (besides having policies in place that also do that). It should not be possible to enter multiple times.

The service provider of the lottery should not be paid proportional or in relation to how many people enter the lottery. At least not in any kind of directly coupled way. All income from the lottery should first go to the parks and then they pay the service provider from that income.

And that‘s the problem solved.

Lotteries are fair, at least if you can’t enter multiple times and if the chance of getting a permit is still somewhat decent.
shortcuts and shortstrings, no python/C#/pwsh will get you there (though for some lower level shortcuts that only involve rebinding keys to each other there are contenders)

Then also controlling some apps here and there, AHK is the fastest tool to get there
It's like there are two parts of Microsoft. The one is truly headed by Nadella. They focus on Microsoft 365, Teams and other revenue-generating stuff. And there's the old Microsoft, which still thinks Windows and Edge adoption matter.
> outside of some incredible software gems, the package ecosystem tends to be flaky and maintained by overworked academics in their spare time.

That was the point I was trying to make.

This language is too esoteric and leafy for most hackers / engineers / enthusiasts to spend their spare time building support packages. They'll pick up something like Nim or Rust as a new language before they'll look at Julia.

By catering to mathematicians, scientists, and engineers, the broader population of software folks were excluded. Or, if "excluded" is too harsh, they at least weren't incentivized.

Because of this, the best parsers, serializers, protocol implementations, scrapers, web servers, and other assortment of important technologies get written in other languages instead.
There is no universe in which Unity is a show case for “why should we pick c#?”

The engine is C++, the C# integration is bad, the new ECS translates C# to C++ (or some cpp like IR) before it runs, and the whole thing is closed source and openly hostile to open source (eg. package managers) that might damage their revenue from the asset store.

Don’t get me wrong; modern C# projects are pretty cool, but this is way cooler than Unity.
Storing and offering copies are two very different things
That only follows if the cost of false positives and false negatives are the same, which they are not.
My body may have "ingested" it in some way but filtering starts even at the sense ("sensor") level. So there is no way I have learned from it. I didn't even have to learn how to filter, it is part of my genetic makeup.

And even if I did, most of it would not be of the same category as what LLMs are learning; information about how a fabric feels or the sound of an ambulance doesn't teach me anything about programming or other things GPT can do. So when comparing the inputs, it makes no sense to count all the information that our senses are getting, to all the input for an LLM.

>This all forms a base where after a decade+ you can learn things fast from books, but that’s comparable to an LLM’s in context learning

Not really comparable