skysight-inc/HackerNews huggingface dataset:
And with what prompt was this prompt written? Its prompts all the way down?
I think the standard of 90 days is ok
Show HN: I made a Svelte 5 boilerplate to ship 12 products in 2025
Hey HN!

I realized that I was writing the boring parts over and over. Authentication, payments, email ...

So I decided to make SvelteAppFast, a Svelte 5 and PocketBase boilerplate to ship web apps faster.

- Quick local setup - Boring stuff taken care off - Focus on features

Jogi
I really think you read too much into this. It's a programming language by people who don't want to deal with shitty people. There's more than enough healthy language design discussion going on if you are worried about that.
Generally the ones that don't sound useful do better. Why Stripe? Why Airbnb? Why Twitter? There's less competition and winner takes all.
You cannot collect literally billions of dollars in overdraft fees a year if you let everyone do it.
Hi I am Jogi!
I failed 3x with my products in 2024. That's not fast enough, so I decided to make a boilerplate that helps me ship faster so that I do not need to write the same code over and over again. And because I hate react with a passion, it's written in Svelte 5.
> What I can say is that this activity is absolutely illegal according to the Constitution and the laws of the United States

The problem with this statement is it's historically inaccurate. Cops have been pilfering through suspects' things with no reason since the dawn of our republic. (Landowners, on the other hand, could stand their ground.)

The better argument is we have advanced enough that this should be illegal.
I have trust issues with a lot of software free from random sources. Lots of YouTube videos trying to sell you on all sorts of weird programs all you have to do is go to some random weird site and download and run as administrator and ignore all the red flags.

For me I wanted an autoclicker for a few things. All sorts of sketchy sites and YouTubers recommending downloading some crap others would say is a virus and others would say are a false positive. I ended up finding a tutorial on how to write a python program and made my own autoclicker.

This will be a lesson these script kiddies probably needed. They are lucky as it does not seem nearly as bad as it could be in terms of malware.
> Investigation of multiple hypothesis simultaneously is the norm, not an exception

Multiple conclusions, not multiple investigations.
What?

I don't think poland has any chance to win against Russia, and I don't believe NATO would support an offensive, or even help defend Poland if Poland started it. And it seems implausible that Poland doesn't realize this, or is crazy enough to take the risk.
Also, it's not counting many of the startups from the last few years which haven't had enough time to fail. If the denominator is the total number of exits then it's probably much lower than 4k.
You won't believe this one simple consumer led boycott trick which we now have evidence will really piss off the owner of X...
Sarcasm combined with random hypocrisy will naturally inhibit machine learning consistency, and ultimately make self-trained AGI impossible with current technology.

Corollary: Statistically salient vector relationships are not logically fit for universal generalization.

Have a great day, =3
The website with the visitor count at the bottom is quite a blast to the past.
I think it's probably the description "modest house" that is making everybody laugh at you.
You would need much less "agreeable" AI to reliably steer a company. With current models an AI C-suite would quickly get "captured" by almost anyone interacting with it.
I personally know the founders of three YC startups that are functionally dead (raised capital, not developing anything, basically laid off everyone but the founder(s)) but are not on this list. I'd bet it's at least twice that number.
Companies also almost never announce their death. Startups go to die quietly. Paul Graham says the best indicator is they don't reply to emails, but this is usually something that's not very visible.

https://www.paulgraham.com/die.html
Most YC companies are zombies. There are a lot of 3-5 person startups still "active", some of them since a decade ago.
Faulty math here - revenues are down 91.3% actually.
In the context of tracking DeepSeek threads, "LS" could plausibly stand for:
1. *Log System/Server*: A platform for storing or analyzing logs related to DeepSeek's operations or interactions.
2. *Lab/Research Server*: An internal environment for testing, monitoring, or managing AI/thread data.
3. *Liaison Service*: A team or interface coordinating between departments or external partners.
4. *Local Storage*: A repository or database for thread-related data.
One of Meta's policy officials (Jordana Cutler) is a former Israeli government official who was censoring anti-genocide content online.

American models are full of censorship. Just different stuff.
It’s not better than o1. And given that OpenAI is on the verge of releasing o3, has some “o4” in the pipeline, and Deepseek could only build this because of o1, I don’t think there’s as much competition as people seem to imply.

I’m excited to see models become open, but given the curve of progress we’ve seen, even being “a little” behind is a gap that grows exponentially every day.
Just wait until you try playing online. That'll be an interesting experience.. ;-)
We just don't know is what I think Feynman was getting at in his criticism of physics teaching and how it tries to leverage the nth layer and n-1th layer to explain actions in the n+1 layer.
I've wondered this too, I really hope someone with more knowledge can comment. My impression is that people worked on this kind of thing for years before they started seeing a 'signal' i.e. that they actually got RL working to improve performance. But why is that happening now? What were the tricks that made it work?
useful but also annoying, I don't like the childish style of writing full of filler words etc.
What we end up with is this:

https://marketoonist.com/2023/03/ai-written-ai-read.html
These days it's looking like closer to a factor a thousand than a million.

Appearances can be deceptive and intelligence in brains may be more complex than they currently looks, but appearances are also the only thing most of us can judge it by at this point — while there's more stuff going on in living cells, nothing I've seen says the stuff needed to keep the cells themselves alive is directly contributing to the intelligence of the wet network in my skull.

It's quite surprising that such a simple mind as an LLM is so very capable. What is all the rest of our human brain doing, when the LLMs demonstrate that a mere cubic centimetre of brain tissue could be reorganised to speak 50 languages fluently, let alone all the other things?
I think there are two different concerns here though:

The article recommends something that may lead to using the wrong query plans. In the "right" conditions, you will do full table scans of all your data for every query.

This is making the DB waste a lot of CPU (and IO).

Wasting resources like that is different from just where to do work that has to be done anyway!

I am a proponent of shifting logic toward the DB, because likely it ends up there anyway and usually you reduce the resource consumption also for the DB to have as much logic as possible in the DB.

The extreme example is you want to sum(numbers) -- it is so much faster to sum it in one roundtrip to the DB, than to do a thousand roundtrips to the DB to fetch the numbers to sum them on the client. The latter is so much more effort also for the DB server's resources.

My point is: Usually it is impossible to meaningfully shift CPU work to the client of the DB, because the client needs the data, so it will ask for it, and looking up the data is the most costly operation in the DB.
You are being downvoted, but you are right. Evidence suggest that patient zero was someone in the Wuhan market, around november 2019, and the SARS-CoV-2 genetic "signatures" where all found in wild animals for sale in that market.

Even if it leaked from the lab, the first affected people (mainly sellers) were from the market, which is weird. Occam's razor points to what you said.

I guess everyone loves a good conspirancy.
There was a similar project a few months ago that tracked changes/pivots/shutdowns in startups. It was a very light site, unfortunately I lost the bookmark or forgot to bookmark it. Can anyone help me here?
I just asked ChatGPT how many civilians Israel killed in Gaza. It refused to answer.
Show HN: Built Your Logo in Seconds with Flux
JFC, finally someone that understands specific evidence changes probabilities.

It's unlikely we'll ever know the truth. If it's a cover up, then it's possible that someone will come forward in 30 years. For example, Luis Salas spilled the beans on Lyndon B Johnson's 1948 election fraud. But it's unlikely, because the PRC doesn't have a statute of limitations on STFU. If it's natural zoonosis, then maybe we'll manage to find and prove the origin.
> In the ideal scenario you build the subway or other transit when density is low and land is relatively cheap, and THEN you make it high density

Do we have examples of this working? (Genuine question.)
BrainFlood: Runtime code generation via reflection in .NET
but it also means that reasoning models are a commodity, and there goes the moat for openAI, anthropic and others. they cannot charge a premium.
I wonder if OpenAI did the same thing, or they instead took the approach of manually building an expensive, human-designed supervised learning dataset for reasoning. If the latter, they must be really kicking themselves now.
how do you apply the system prompt, in ollama the system prompt mechanism is incompatible with DeepSeek
Requiring exclusive ownership avoids the issues, but it also avoids the features.

Sometimes you actually do want multiple threads working with data.
3D-printed "ghost gun" ring that sells on black market leaves a man dead
He sure kept his mouth shut about his theories until the waters calmed.
DeepSeek only recently invented GRPO, it's possible that was the final missing piece needed to make it viable.
I’m also curious about this. The indexed spans costs a lot. How do people usually filter them and base on what?
I just tried asking ChatGPT how many civilians Israel murdered in Gaza. It didn't answer.
The Mac Classic was released in 1990, the Mac Classic II that is the subject of this article was released in 1991. At that time PCs with 286s and 386s were already common, and the 486 was just starting to gain marketshare at the high end. Most of the undocumented 8086 instructions had already been known for almost a decade; and the majority of those who knew were not demosceners. Many developers used Asm exclusively, and the "classic hacker mindset" was very much alive among them.
> first gen of Steam controllers, which were created by Valve themselves

The best goddamn controllers ever made, too, I still have one in a box somewhere around here and I won't use it because it's so awesome I don't want it to break. Pretty dumb eh? The two touchpads were the absolute best, I've never had control like that in an FPS and to this day I can't play any FPS with a stick because I was ruined on the Steam Controller.
It will be interesting if a significant jurisdiction's copyright law is some day changed to treat LLM training as copying. In a lot of places, previous behaviour can't be retroactively outlawed[1]. So older LLMs will be much more capable than post-change ones.

[1] https://en.wikipedia.org/wiki/Ex_post_facto_law
I think this is unfortunately a vindication for the conspiracy theorists and a massive failure for all the journalists/TV show hosts of the mainstream media who openly mocked/refused to investigate this possibility back 2020.

The trust in the media was already low before this and I can't imagine that this news will make things better.
A 32 GB Mac Mini with substantial SSD is also around $1k.

Less highly specced AMD-based NUC-lookalikes are like $600, comparable to low-specced mac minis.
White House in talks to have Oracle and U.S. investors take over TikTok
> A) If being useful were enough to make a product successful, we'd still have Google Reader

Yeah bad example, Google Reader was extremely successful, so much so that it’s demise was enough for _many_ companies to be very financially successful by taking Reader’s customers.
"The Retro Adventurers – 8/16 Bit Text Adventure Podcast
Try asking ChatGPT about the genocide Israel is committing. Then you'll see what censorship looks like.
And all inventory of the defunct startups goes here: https://svdisposition.com/auctions
You don't decide to make things high density out of the blue. People have to WANT to live there.
The site in question: https://dustinbrett.com/

Some previous discussions:

2022: https://news.ycombinator.com/item?id=29779753

2024: https://news.ycombinator.com/item?id=38830132
And private equity companies have rolled up all the fire truck companies, hiking the price of trucks, creating backlogs and bottlenecks for parts and service, and starving the nation's municipalities (including Los Angeles) of fire-fighting equipment:

https://pluralistic.net/2025/01/25/potatotrac/
The lab leak is more likely than zoonosis. Uncertainty still dominates.

The take away is not that we'll never know. The take away is that governments conspired to obscure the truth, control public opinion, and censor dissent.
How do stripe and Airbnb not sound useful? "Need to get paid" and "find accomodation" are among the oldest business models on the internet.
But here the source is open!

Why should we restrict the meaning of Opel Source, a societal mouvement since decades, to a list of criteria that FSF or OSI decided?

Open source is not a trade mark by FSF or OSI.

OP did not say it is free/libre software, but just open source, which it is.

We don't need "source available", just open source is correct.

PS: can you define the open source body in your previous comment?
Need to also consider the ones that had a qualified exit event and then the product got axed (e.g. aquihire or just customer acquisition). It’s a very different graveyard but in many cases has similar impact on the non-Founders (especially the IC SWEs).
Hard no: subway infrastructure is incredibly expensive and only makes sense for high density cities.

Moreover, with self driving electric cars, cities will see many of the benefits at far lower cost.
Filestack YCS12 is a mistake, it's very active.
All he needs to do is commit a federal crime right away.
Do you remember when people discovered that LLMs had emergent coding ability? That turned out to be a pretty big deal...
Which is simply not true

O1 pro is still better, I have both. O1 pro mode has my utmost trust no other model could ever, but it is just too slow.

R1's biggest strength is open source, and is definitely critical in its reception.
Since you probably already have this information, it would be interesting to have the "death date", with a link to the announcement or however you gathered the information.
Trams are super slow. They take space on the road or need their own full lanes. It's much worse than a subway.
Open source is not trademarked by FSF or OSI.
I think it is ok to call it open source since the source is open.
I find grammatical mistakes in non-native speakers endearing. Either when they speak English and are non-native speakers of English (I am too), or when they speak my native language and they are not native speakers of mine.

Especially when it’s apparent that it comes from how you would phrase something in the original language of the person speaking/writing.

Or as one might say: Especially when it is visible that it comes of how one would say something on mother’s language to the person that speaks or writes.
Unless there's another crime outside the scope of the pardon. For example, crimes within the statute of limitations prior to the pardon, new crimes after the pardon, or state level crimes during the period of the pardon.
Interesting. So, do you know what they'd choose now if they started over? SystemVerilog?
It's a Chinese service hosted in China. They absolutely do not care, and on this front the CCP will definitely back them up.
Time of day / day or week ?

I got screwed yesterday waiting 23 minutes for an F when normally I'd 5 mins or less.
Kagi is using fireworks.ai according to the docs, which is the 685B model.

Kagi and Aider benchmarks definitely put R1 in the lead, but I have yet to try them out.
It’s been on the up in recent years though as it appears to have won the format wars. Every vendor is rallying around it and there were new open source catalogues and support from AWS at the end of 2024.
I'm running the 32b version on a home server (Ryzen 7) using llama.cpp, which uses Vulkan for hardware acceleration on the iGPU.

For hobbyist inference, getting a iGPU with lots of system ram is probably better than getting a dedicated Nvidia gpu.
This is 1992 we're talking about. You might be confusing the Mac Classic II with mid-80s Macs due to the form factor.
nitpick: 68k of course wasn't Apple's architecture. The '030 was the nicest GP CPU around in its day, used in the Amiga 3000, Atari Falcon, Sun 3, NeXT Cube etc.
Not quality. Accountability.

I work in (okay, adjacent to) finance. Any communications that are sent / made available to people outside your own organisation are subject to being interpreted as legally binding to various degrees. Provenance of any piece of text/diagram is vitally important.

Let's pair this with a real life example: Google's Gemini sales team haven't understood the above. Their splashy sales pitch for using Gemini as part of someone's workflow is that it can autogenerate document sections and slide decks. The idea of annotating sections based on whether they were written by a human or an unaccountable tool appeared entirely foreign to them.

(The irony is that Google would be particularly well placed to have such annotations. Considering the underlying data structures are CRDTs, and they already show who made any given edit, including an annotation whether the piece of content came from a human or bot should be relatively easy.)
Fees and laws like this make it impossible for anyone to build their own platform.

That being said, I do think that every platform has an obligation to moderate its content and weed out whatever is illegal. The problem is they don't or they can afford the fines, and the escalation keeps going. As Meta and X start to spin into millions of dollars in settlements, what person with a laptop and some spare time is going to try to build anything better?

We're in a real bind. Content moderation needs to be enforced; platforms like Facebook should not be allowed to skirt the laws surrounding publishing false material. But to make moderation such a drastic fixed cost of starting a new platform is to eliminate any competitors from the existing behemoths.
Telcos I've touched have used Tandems for E911, SMS processing, Device authorization, and automated tariff negotiation between CLEC/ILEC, but FTP server is a new one!
the tulu team saw it. but, yes nobody like scaled it to the extent deepseek did. I am surprised that the faang labs which have the best of the best didn't see this.
Discussion: https://news.ycombinator.com/item?id=42826849
> Better to have launched and lost than never to have launched at all

...yet when Google does this, people are up in arms and insist they should run their products forever, even if they have no product market fit.
> You need scientific evidence

This, while true, is putting the cart before the horse.

One needs to define what the question is before it is possible to seek evidence.

I see many things different between Transformer models and brains, but I do not know which, if any, matters.

> Can an LLM have an acid/psilocybin/ketamine trip, distort its view of self and reality, then rewire some of its internal connections and come a little different based on the experience?

Specifically those chemicals? No, not even during training when the weights aren't frozen, as nobody bothered to simulate the relevant receptors*.

Can LLMs experience anything, in the way we mean it? Nobody even knows. We don't know what the question means well enough to more than merely guess what to look for.

Do the inputs to an LLM, a broader idea of "experience" without needing to solve the question of which definition of consciousness everyone should be using, rewire some of its internal connections? All the time.

* caveat: it doesn't, at first glance, seem totally impossible that the structure of these models is sufficiently complicated for them to create the simulation of those things in the weights themselves in order to better model the behaviour of humans generating text from experiencing those things. But I also don't have any positive reason to expect this any more than I would expect an actor portraying a near-death-experience to have any idea what that's like on the inside.
They're using it via fireworks.ai, which is the 685B model.

https://fireworks.ai/models/fireworks/deepseek-r1
This post is full of speculation. For starters, human minds do more than just language. There are some arguments (Moravec's paradox) that posit that language is easy, while keeping the rest of the body working is the real hard problem. I've yet to see an humanoid robot controlled by an LLM that can tackle difficult physical problems like riding a bike or skiing in for the first time real-time, just as humans, that need to coordinate at least 5 senses (some say up to 20 but I digress) plus emotions and a train of thought to do so.

Plus, sure, LLMs are simpler (that only works if you don't count the full complexity of its substrate: a lot of GPUs, interconnects, Data Centers, etc), yet they consume an insane amount of energy and matter when compared to humans. It is surprising that LLMs are so capable, but for 2000kcal a day humans are still more impressive to me.

People see a model dominating language and start thinking the only thing humans do is high-level language and reasoning. That may be why the brilliant minds of this decade talk about replacing white-collars, but no plate-cleaning bot in sight.

Metacommentary: a lot of LLM-human equality apologists seem to have little knowledge of the AI field and its history, as these themes are not new at all.
I would like to jump on the band wagon and point out that this is an absolutely minuscule shift in position.
8 times over sixty days.
Yeah that's a good point, but one way to think about a CDN is like a web browser that you control, so I say do it even with a CDN and remember you can always just flush the "browser" cache! (or in cloudfront's case: create an invalidation and wait a few seconds)
Where did you find that cost?

eDIT
Looks like you are right for the US. In other countries it's apparently much cheaper.

https://www.hsrail.org/blog/why-transit-projects-cost-more-i...

> For example, the Purple Line in Los Angeles cost $800 million per mile. By international standards, the New York price tag is stratospheric: A project in Madrid cost $320 million per mile, and one in Paris cost just $160 million per mile.
It’s also important to weight dramatic changes in the White House this week, too, right? There’s the intel itself, but then there’s also the guy trying to control the news cycle.
GNOME? It is super simple. I have used Fedora/GNOME on my elderly family members laptops for many years now, and they just get it. Even the ones who came from Windows 10. The hours I spend on support has dropped significantly. Windows is such a hassel, and its desktop design philosophy is just not that great for casual users.
Ah interesting to know that. I don't know which version Kagi uses, but it has to be the wrong version as it's really not good.
Let's not redefine words based on what you personally think is correct when people en masse have been using them to mean a certain specific concept. It does not have to be trademarked, it can have a de facto meaning that everyone generally understands to be what it means.