MurphyA/hacker-news huggingface dataset:
by rayiner | 2025-04-08 03:54:12+00:00
> I'm aware an immigration judge in 2019 withheld his removal and there was an unreliable witnesses claiming they heard him say he had connections, but that was in NY, not Maryland where Abrego Garcia lives.

Most of that is false, and you should look at what media you've confused that has given you that false impression. In 2019, an immigration judge determined that Garcia was deportable because of his ties to MS-13 and issued a deportation order: https://www.supremecourt.gov/DocketPDF/24/24A949/354843/2025.... The relevant orders of the immigration judge and Board of Immigration Appeals are at appendix pages 1a-18a. The most relevant portion is 4a through 5a, where the Board of Immigration appeals affirms the immigration judge's determination that Garcia "is a verified member of MS-13."

> I'm also aware the Trump administration admitted they made a mistake in deporting him.

Incorrect. It is undisputed that, in 2019, the immigration judge issued a removal order. The only caveat was that Garcia could not be removed to El Salvador, his home country. From appendix page 46a (Garcia's brief in the current district court proceedings):

> Plaintiff Kilmar Armando Abrego Garcia ("Mr. Abrego Garcia") won an order from an immigration judge ("IJ") prohibiting his removal to El Salvador, after he established it was more likely than not that he would be persecuted in that country on account of a statutorily protected ground. The government could have chosen to appeal that order, but did not. The government could have chosen to remove Mr. Abrego Garcia to any other country on earth, but did not.
by gugagore | 2025-04-08 03:54:36+00:00
> But I like to praise it because it represents a hint of what I wish my tooling were like, and would like to see this concept of moldable development spread outside of the Pharo community.

You might like this talk! "Liberating the Smalltalk lurking in C and Unix - Stephen Kell" https://news.ycombinator.com/item?id=33130701
by milesrout | 2025-04-08 03:56:25+00:00
>It's possible to design a business model in such a way that you have negative cash conversion cycles,

This seems like it would only be possible if your DPO is greater than the sum of your DIO and DSO. In other words, you are so tardy in paying your invoices (or good at negotiating payment terms, I suppose) that you manage to sit on cash worth more than the value of your inventory + outstanding receivables. That is... one way to run your business.

Maybe I am missing something but this seems like a house of cards. Eventually you need to pay your invoices, and time shifting that a bit doesn't actually make your business profitable.

Quite willing to accept I have missed something though.
by esafak | 2025-04-08 03:56:52+00:00
It depends. Some other reasons:

1. It's an enterprise product and the economic buyer doesn't know or care about bugs as much as checklisted features.

2. The company is not connecting the impact of fixing bugs to their bottom line. Or they are and estimate the impact to be low.

3. The code base is due for a rewrite so it would be a waste.

4. It's a side bet not worth the extra resources.
by robocat | 2025-04-08 03:56:58+00:00
1: Mortgages drive house prices. Individuals bid up to the limit that they can afford the repayments. We had an earthquake in Christchurch and uninsured homes went for half the price of insured homes (because mortgages unavailable on uninsured homes).

2: House status upshifting drives people to earn more (once they are on the property ladder). I suspect large parts of the professional economy is driven by people wanting nicer houses. Status matters.

3: Property taxes depend on location. In Christchurch the property (council) taxes have a total budget that is then split depending on price. So your taxes go up if your house valuation increases compared to rest of market.

Above are my opinions based on what I have personally seen
by bb88 | 2025-04-08 03:58:20+00:00
Fixing other's shitty code doesn't push the needle -- particularly in an industry that strives to get customers to open their wallets and shell out hard currency.

If a company's ultimate goal is to extract money from people, then developers who can extract money faster (even if their rendering/loading algorithms suck) will get rewarded better than those who don't.

That's why enshittification is a thing (and actually come to think of it, not new either). It might be a dev that learned from product leadership that, "I could fix these 13 lines of code. But you know, our company could also sell a 'PRO' version subscription for $5 a month which provides the fix..."
by throwaway2037 | 2025-04-08 03:58:57+00:00
This part is genius:

> Nowadays, Leggio told Fortune he won’t even set up an interview with a candidate who seems promising on paper unless they agree to one final step. “Say something negative about Kim Jong Un,” Leggio tells potential job candidates, referring to the third-generation authoritarian Supreme Leader of North Korea, officially the Democratic People’s Republic of Korea (DPRK). Through research, Leggio learned insulting the DPRK’s Supreme Leader is forbidden, and North Korean citizens could face serious punishment for showing anything less than reverence. “The first time I ever did it, the person started freaking out and cursing,” said Leggio. The job seeker subsequently blocked Leggio across all social media platforms. Now Leggio makes the same request before every single interview. Other startups and founders he knows are asking the same thing of job seekers, he said.
by nocman | 2025-04-08 04:00:39+00:00
> Git is for hobby side projects. Perforce and Sapling are for adult projects.

The numbers I've seen say git has about 87-93% of the version control market share. That's just one of many reasons I think it is safe to say most professional developers disagree with you. I can understand someone prefering Perforce for their workflow (and yes, I have used it before). But saying Git is only "for hobby side projects" is just ridiculous. It has obviously proven its value for professional development work, even if it doesn't fit your personal taste.
by twright0 | 2025-04-08 04:01:45+00:00
The last third should have been a short epilogue or a full sequel. It's too much of a pivot in terms of tone and focus, and feels incongruous and mismatched with the first two sections (which are excellent). He clearly had a bunch of ideas that didn't fit into the main body of the work and grafted them on anyway; it wasn't bad, it just didn't fit.

The comparison would be Orson Scott Card writing Ender's Game to set up the universe of Speaker for the Dead, but instead making Speaker for the Dead a third of its size and calling it the last few chapters of Ender's Game. They should just be different works in the same setting.
by fastball | 2025-04-08 04:02:19+00:00
Entirely wrong, and that is what is so surprising about D1's terrible performance.

Using CF Workers + DigitalOcean Postgres, I was seeing query responses in the 50-100ms range.

Using CF Workers + CF D1, I was seeing query responses in the 300-3000ms range.

Both workers had Smart Placement enabled.
by throw10920 | 2025-04-08 04:02:43+00:00
As long as other readers of the action are aware of what's happening, this seems pretty useful. There's been many adventures where my shell script, starting out as a few lines basically mirroring what I typed in by hand, has grown to a hundred-line-plus monster where I wish that I had real arrays and types and the included batteries in the Python stdlib.

I'm definitely not going to use this to implement my company's build actions in elisp.
by BobbyTables2 | 2025-04-08 04:06:53+00:00
I’ve come to realize AI works as well as it does because it was trained extensively on the same kinds of things people normally ask. So, it already has the benefit of vast amounts of human responses.

Of course, ask it a PhD level question and it will confidently hallucinate more than Beavis & Butthead.

It really is a damn glorified autocomplete, unfortunately very useful as a search engine replacement.
by rayiner | 2025-04-08 04:07:55+00:00
That's incorrect. Lots of immigration decisions are judicially unreviewable, such as visa revocations: https://www.boundless.com/blog/supreme-court-rules-courts-ca.... The Supreme Court has also never held that non-citizens have a right to an Article III judicial determination to challenge deportation. The current immigration laws provide for many circumstances where deportation is judicially unreviewable, and indeed does not even require a determination by an administrative immigration judge: https://www.americanimmigrationcouncil.org/research/expedite...
by nocman | 2025-04-08 04:08:03+00:00
> Git was always worse than Mercurial.

hard disagree. Git was always way better than Mercurial.

> It won because of GitHub.

I and most of the developers I have worked with over the years all used git for many years before ever even trying GitHub. GitHub obviously has helped adoption, but I'm not convinced that git would not have won even if GitHub had never existed.
by tptacek | 2025-04-08 04:08:24+00:00
Does any of this matter if you're a person that thinks "AGI" is a silly concept, and just uses these tools for what they're good at currently?

I'm not trying to be snarky, I'm just wondering why I would care that a tech giant has failed to cross the "GPT-5" threshold. What's the significance of that to an ordinary user?
by Spivak | 2025-04-08 04:08:54+00:00
Yeah, it's sad but this is the reality. Caring about your craft is for your passion projects / hobbiest endeavors. Once your beautiful software meets the reality of the real world and business it all falls apart— you can either take a mindfulness approach and just come to accept it or let it drive you mad.

The goal is to write not-bad code. You're not trying to do shoddy work on purpose but good enough is good enough.
by keyle | 2025-04-08 04:08:57+00:00
Note that there is also TrenchBroom [1]. An editor which you can then use to create levels and import them in UE4/5 [2], including textures and collisions.

[1] https://trenchbroom.github.io

[2] e.g. https://www.youtube.com/watch?v=41HZzy-nJDU
by rayiner | 2025-04-08 04:09:06+00:00
> The actual topography here, rather than any hypothetical buttered slope, is a man was deported without in defiance of pre existing court orders that he not be deported.

False. Garcia was concededly subject to deportation except to El Salvador. And that condition prohibiting removal to El Salvador was not issued by a "court," but rather by an immigration judge (executive branch employee).
Show HN: Turn Photos into Studio Ghibli Art with AI
by seriousoblack | 2025-04-08 04:10:48+00:00
I built AISiteGen - an AI platform that transforms ordinary photos into magical Studio Ghibli-style artwork.

Key Features:

Authentic Ghibli-style transformations in seconds

Multiple output variations per generation

Customizable style strength and quality settings

Privacy-focused (images aren't stored)

Affordable alternative to commissioning artists

Why I Built This: As a huge Ghibli fan, I wanted an accessible way to see myself and my surroundings in that magical art style. Existing solutions were either too expensive or didn't capture the Ghibli essence well.

Pricing:

− 9.99−39.99/month for full access

Would love feedback from the HN community! Especially on:

The quality of the Ghibli-style transformations

The user experience of the generation flow

Try it and let me know in the comments
by throwaway314155 | 2025-04-08 04:11:13+00:00
Not that im aware of, but that actually would be an interesting project.

I was referring more broadly to ClaudePlaysPokemon, a twitch stream where claude is given tool calling into a Gameboy Color emulator in order to try to play Pokemon. It has slowly made progress and i recommend looking at the stream to see just how flawed LLM's are currently for even the shortest of timelines w.r.t. planning.

I compared the two because the tool calling API here is a similar enough to an MCP configuration with the same hooks/tools (happy to be corrected on that though)
by zisanAIdreamer | 2025-04-08 04:11:47+00:00
Thank you for reading! I’m building a full AI-powered ecosystem for low-connectivity dreamers, solo learners, and creators — entirely solo, from UX to AI stack. I’d love to collaborate or get mentored to scale this into something world-class.

Reach me at: jisanahmmed10@gmail.com

(Happy to share full background if anyone's curious. Just reply here!)
by ecliptik | 2025-04-08 04:12:01+00:00
5 years ago I blew out a knee running and we ended up getting a Peloton (coincidentally the end of Feb 2020) since the doctor said it would be less stress on my knees.

Used their service some, but I 3D printed a phone holder for the handlebars. Now instead of sitting in a chair watching videos and scrolling HN, I do it with an elevated heart rate for 30 minutes.

Sure it's not the "right" way to exercise, but I've lost weight (in combination with an improved diet), have more energy and I feel less guilty about screentime.
by ggm | 2025-04-08 04:12:34+00:00
In a sane world, the SEC would be knocking down the door of the portakabin where Musk sleeps. This is really bizarre behaviour.

Much though it may distress them, His saudi friend(s) and Larry can afford to take the hit. It would be better for all of us, if the actual value of this enterprise was there, for all to see, from book value, revenue, and rational projections.

But no: it's value is defined as whatever Musk can make it, based on his ability to direct investment of other companies also under his control.
by nmca | 2025-04-08 04:13:01+00:00
The linked USAMO math results are in an exam that requires proofs. The same authors, on the same website, ran AIME 2025 shortly after it happened and found it was totally consistent with the o1 announcement numbers; the difference being that the AIME requires only short answers and no proof.

If you are a skilled mathematician, it is quite easy to verify both that (as of 7th April) models excel at novel calculations on held out problems and mostly shit the bed when asked for proofs.

Gary cites these USAMO as evidence of contamination influencing benchmark results, but that view is not consistent with strong performance of the models on clearly held out tasks (arc test, AIME 25, HMMT 25, etc etc).

If you really care, you can test this by inventing problems! It is a very very verifiable claim about the world.

In any case, this is not the pundit you want. There are many ways to make a bear case that are much saner than this.
by SOLAR_FIELDS | 2025-04-08 04:13:29+00:00
1 and 2 is the actual answer for any BigCo that I’ve been involved with. It’s quite simple: does fixing the bug affect the money firehose in the short or medium term? If so, fix it. If not, go work on things that involve widening the firehose of money.

3 is sometimes given lip service, but ultimately the only way 3 ever gets done is if someone in upper management pretends to care that 3 is important. Which is pretty rare

4 also happens but everyone thinks they are skunkworks engineer even when they are not
by apparent | 2025-04-08 04:14:28+00:00
If people think that LLMs will get very good at tons of things, they will invest quite a bit of time figuring out how to work with them (even if they are not that great at useful things right now). If those people then learn that LLMs will never get very good at so many things, they will then tend to invest less time in studying up on how to best use them.

I know I write off some of the time I spend working with LLMs as an investment in the future. If someone told me this is as good as they'll get, I would definitely invest less time working with them.
by ggm | 2025-04-08 04:15:10+00:00
> One scholarly study focusing on one city found that 8- to 65-percent of officials—depending on the official’s rank—received an unofficial income from bribery or graft

Not wanting to be too picky, that spread of numbers makes the entire sentence significantly less valuable to me. This could be a fat tail, or a long tail. I would expect that a lot of people get little gifts and a few people skim huge gift totals off underlings, or off big players.

Graft is a serious problem. I like the indian proposed approach of giving government players play money which says "this is a highly immoral bribe"

When Xi's time at the helm comes to an end, there are three plausible outcomes in my mind, alongside all the others

1) somebody just carries on the game as-is

2) somebody goes hard on an anti-corruption drive with a return to core values (I was under the impression this is partly what the Shanghai leadership were doing when Bo Xilai was done down, although anti-corruption drives are often a good cover for .. corrupt practices)

3) somebody goes hard on militarism, which is the other Xi plank, and we wind up in a hot war over Taiwan. This will necessarily ignore corruption, because corrupt people can be very efficient at supplying Materiel. For a while.

The thing is with lots of money sloshing around, people look for ways to secure it. Buying tencent and ali shares only gets you so far, and this is the kind of reason there is a lot of russian spoken in Malta and Cyprus. I would expect a lot of money to flow out of Macau and Hong Kong, ie through gambling, or ownership of casinos, which is a traditional method of washing dirty money.

So riddle me this: who, currently at the helm of a large western power, has history of investment in Casinos?
by vunderba | 2025-04-08 04:15:27+00:00
100%

With automated hiring spam and our industry's apparent tenuous grasp of basic integrity with actual HN posts proudly boasting of their apps to help you cheat during interviews using LLMs, several of my friends who assist in hiring at their companies have already returned to "on site" interviews to cut down on the proverbial chaff.

The amusing part is that these are still 100% remote jobs -but the interviews are conducted at shared workspaces.
by ninetyninenine | 2025-04-08 04:16:15+00:00
The technology is just a couple years old, and this article is derived from a couple months of evidence.

We can't yet say what the future holds. The nay Sayers who were so confident that LLMs were stochastic parrots are now embarrassingly wrong. This article sounds like that. Whether we are actually at a dead end or not is unknown. Why are people talking with such utter conviction when nobody truly understands what's going internally with LLMs?
by refulgentis | 2025-04-08 04:16:55+00:00
If you're interested in it as a tool, you can skip this stuff.

This is more for those curious about if AI is tulip bulbs.

There's unintentional ideological camps on AI, one is mad about a financial/interest bubble*, and it is maintained by content like this every 4 to 8 weeks. (randomly selected representative comment, in this same discussion: https://news.ycombinator.com/item?id=43618256)

* reminiscent, to me, of how I felt about Uber for years and years and years until I sort of moved on when it survived COVID.
by bitwize | 2025-04-08 04:16:58+00:00
Yeah, no shit. Winter is coming again for AI:

https://en.wikipedia.org/wiki/AI_winter

That said, the techniques that have come out of machine-learning research in recent years are indeed powerful, for certain, constrained purposes. That was true of other AI technologies in the past, but we don't call them AI anymore; we call them things like "rules engines". These days, you could take a curren-year press release about AI and use a cloud-to-butt style filter to replace all occurrences of "AI" with "statistics" and see virtually zero drop in factuality (thought a considerable drop in market sizzle).
by faizshah | 2025-04-08 04:17:37+00:00
Yes, the quality of the models is increasing at a slower rate and the race will transition to performance and efficiency.

This is good for self hosters and devs who will be able to run near SOTA models like QwQ locally. I’m near the point where I’m going to cancel my ChatGPT Plus and Claude subscription.

If you’re not already trying to self host, build your own local agents and build your own MCPs/Tools I would encourage you to try it (simple stack: ollama, pydanticAI, fastmcp, QwQ 32B, Llama 3.2 3B). If you don’t have a fancy GPU or M1+ try out QwQ on Groq or Flash 2.0 Lite with the Gemini API, it’s super cheap and fast and they are basically equivalent (if not better) than the ChatGPT you were paying for 16 months ago.
by Ferret7446 | 2025-04-08 04:18:49+00:00
Good point. Git succeeded in the same way that Unix/Linux succeeded. Yes, it sucks in many ways, but it is flexible and powerful enough to be worth it. Meanwhile, something that is "better" but not flexible, powerful, or hackable is not evolutionarily successful.

In fact, now that I've used the term "evolution", Terran life/DNA functions much the same way. Adaptability trumps perfection every time.
by iDon | 2025-04-08 04:18:50+00:00
I am running this OK in Ubuntu 2404 : https://github.com/aaddrick/claude-desktop-debian Claude Desktop for Debian-based Linux distributions

From Claude I have connected to these MCP servers OK : @modelcontextprotocol/server-filesystem, @executeautomation/playwright-mcp-server.

I have connected to OP's extension (browsermcp.io) from vsCode (and clicked 1 tab button OK), but not from Claude desktop so far (I get Cannot find module 'node:path'; which is require-d in npm/lib/cli.js; tried node 18,20,22; some suggestions here : https://medium.com/@aleksej.gudkov/error-cannot-find-module-... ).
by uriafranko | 2025-04-08 04:21:23+00:00
1. AGI is the goal for most foundational AI companies. 2. To "unlock" AGI, we need to provide it with the tools to do everything. 3. With tools for everything or the ability to self-create them, like shown in VisionAgent by LandingAI, can we achieve (almost) AGI with the current AI models? 4. Are role-playing LLMs the future?
by mdonaj | 2025-04-08 04:21:40+00:00
One of the comments in the article says: "I don't see how it's not a net negative tech," to which Marcus replies: "That’s my current tentative conclusion, yes."

What is the negative effect I'm not seeing? Bad code? Economic waste in datacenter investment? Wasted effort of researchers who could be solving other problems?

I've been writing software for over a decade, and I’ve never been as productive as I am now. Jumping into a new codebase - even in unfamiliar areas like a React frontend - is so much easier. I’m routinely contributing to frontend projects, which I never did before.

There is some discipline required to avoid the temptation to just push AI-generated code, but otherwise, it works like magic.