MurphyA/hacker-news huggingface dataset:
by d_silin | 2026-02-08 05:28:19+00:00
Literally in the article:

“Our paper says that the Atlantic overturning has not declined yet. That doesn’t say anything about its future, but it doesn’t appear the anticipated changes have occurred yet.”

The study is a stark contrast to a 2018 study that said the AMOC had declined over the last 70 years."

...

“Our results imply that, rather than a substantial decline, the AMOC is more likely to experience a limited decline over the 21st century—still some weakening, but less drastic than previous projections suggest.”

Am I the only person here who actually read it?
by mjr00 | 2026-02-08 05:30:08+00:00
I put myself in the shoes of the burger restaurant owner. I vibe coded a website. Sweet. I talk to my cousin who's doing the web hosting and he says he can't host a "Pee Haich Pee" site. I don't know what that is. Suddenly the thing that didn't matter actually really fucking matters

This is like saying it doesn't matter if your pipes are iron, lead or PVC because you don't see them. They all move water and shit where they need to be, so no problem. Ignorance is bliss I guess? Plumbers are obsolete!
by dvt | 2026-02-08 05:30:53+00:00
I think one of the major problems with the current incarnation of AI solutions is that they're extremely brittle and hacked-together. It's a fun exciting time, especially for us technical people, but normies just want stuff to "work."

Even copy-pasting an API key is probably too much of a hurdle for regular folks, let alone running a local ollama server in a Docker container.
by WalterBright | 2026-02-08 05:31:15+00:00
There were cars before the Model T, but only for the rich. Ford made cars affordable for everyman. That changed everything.

There were books before Gutenberg, but only for the rich. His printing press made them cheap enough to print newspapers. That changed everything.

Before Bessemer, making steel was extremely expensive and rarely one. With the Bessemer Process, vast quantities of steel could be cheaply made. That changed everything. Google says:

"The process revolutionized the industry by reducing costs and increasing production, making steel accessible for major infrastructure projects in the 19th and early 20th centuries."
by great2bnaustin | 2026-02-08 05:31:16+00:00
The title is doing a lot of heavy lifting. No credible scientist describes AMOC collapse as the “end of humanity.” It would be catastrophic, full stop: European winters dropping 5-15°C, massive disruptions to global food production, coastal flooding, monsoon shifts affecting billions. But humans survived the last AMOC shutdown during the Younger Dryas roughly 12,900 years ago with stone tools and no supply chains. We’d suffer enormously. We wouldn’t go extinct. Framing it that way makes it easier for skeptics to dismiss the real risk.
by tpmoney | 2026-02-08 05:33:09+00:00
And so what messaging do you propose Uber puts in their app for this? "Your driver has a higher than average probability of assaulting you, you may want to wait for another driver"? That will last until the first driver sues for slander. It's one thing to tell you that "prices are higher right now" it's a completely different thing to imply to you that your driver is a criminal.
by its_magic | 2026-02-08 05:33:11+00:00
Nah, I prefer to just use C, because at least I can parse the quite sane and helpful error diagnostics when I omit a semicolon or something, instead of getting 15 pages of unreadable garbage dumped into my lap by the oh-so-wonderful C++ standard library.

(Which quite frankly isn't much of a "standard" when there's about a dozen different real world interpretations of the code depending on which flavor of which compiler from which year that you're using.)

I also don't have to wait eons for my code to compile. Really, the mental and computational load of C has got to be 1/10 of C++.

What a nightmare C++ is, and it just keeps getting worse every year thanks to the incompetent standards committee.
by roxolotl | 2026-02-08 05:33:17+00:00
I bet this is the research cited here in the parent article[0]. While the title is totally bait the contents is far from engagement bait. It’s a very level headed piece about what might happen and the research around the AMOC.

0: https://thatjoescott.com/2026/02/03/bye-bye-humanity-the-pot...
by Ygg2 | 2026-02-08 05:34:25+00:00
Where is the cope? I said things will suck. US gets hotter, Europe gets colder and there are cascading effects from those. Changed weather patterns and biodiversity loss as temperatures rapidly shift.

That said, a new ice age it will not be. If your local temperatures get closer to polar, and polar gets closer to tropic, I don't see the logic of it will cause an ice age. You can't have AMOC positive feedback loop from albedo if enough ice doesn't form.

And you didn't provide any mechanisms outside of ad hominems.

Not to mention past AMOC data is missing one key parameter - Humanity. On account of us not being there. What happens when humans are cold? They warm themselves usually with CO2 emitting heat sources. Last time AMOC was around only CO2 source was the volcano. They don't care about heat.

We know how to warm up the planet. It's cooling down without massive casualties that's hard.
by zamalek | 2026-02-08 05:35:41+00:00
> the open source ones just aren't up to scratch.

Yeah OnShape has been a godsend, and keeping it free for open designs is one of the better ethical stances to take. KiCad on the other hand is incredible (LibrePCB is shaping up really nicely too).

That's Linux's weakness right now - when a use-case misses it REALLY misses. Browser-native apps are a pretty reliable escape hatch for that.
by inkyoto | 2026-02-08 05:36:21+00:00
The math is a bit off.

One day amounts to 24 hours.

Assuming no overtime, one day translates into 3x 8 hour shifts, or 3x engineers. Suddenly, $260k a year buys 3x engineers.

Now, assuming that the dark factory stuff can actually work as conjectured, it will work 24x7, 365 days a year, it does not require annual leave, sick leave, observance of public holidays etc. So $365k (adjusted for 24x7, 365) works out to be a cheap deal.
by sachuin23 | 2026-02-08 05:36:26+00:00
I have been working on a problem most language detection libraries quietly fail at: short, messy, conversational text. The kind you see in chat apps, support tickets, SMS, and mixed-language messages.

FastLangML is my attempt to fix that.

It is a multi-backend ensemble (FastText, Lingua, langdetect, pyCLD3, and others) with a voting layer built for real-world text. It handles:

Short messages with almost no statistical signal

Code switching like Hinglish or Spanglish

Slang, abbreviations, and emojis

Multi-turn conversations where context matters

Confusable languages like ES vs PT or NO vs DK vs SV

A few design choices:

Context-aware detection so you can pass conversation history and get more stable predictions

A hinting system for slang, abbreviations, and custom rules

Extensible backends so you can plug in your own detectors or voting logic

Optional persistence using Redis or disk for multi-turn conversations

Support for more than 170 languages across the ensemble

Why I built it: most detectors are tuned for long, clean text. They break on "ok", "jaja", "mdr", "brooo", or anything with mixed languages. I needed something that works on real chat data, not idealized text.

I would love feedback from HN on:

How you evaluate language detection quality in production

Whether context-aware detection helps in your workflows

Ideas for improving code switching accuracy

Additional backends worth integrating

Repo: https://github.com/pnrajan/FastLangML

Happy to share benchmarks, architecture notes, or design tradeoffs if people are interested.
by maxglute | 2026-02-08 05:37:24+00:00
This so historically stupid claim, it's not even wrong tier.

There was no GDP data under KMT - it wasn't even formally calculated.

CCP started GDP calculations, but using soviet MPS GDP accounting system that basically omitted services and lowballed production prices.

The only GDP data we have that is pseudo normalized are via estimates like Maddison project. Even they don't bother to recompose China/KMT data during WW2. The TLDR is prewar peak 1939 data (right before JP invasion) around 288B, PRC took over in 1949, GDP was 245B in 1950, grew to 306B by 1952. GLF tanked GDP from 460b to 350B... i.e. the worst case scenario of GLF floor was still 40% larger than 1950.

E: Note wiki data links to ourworldindata that pulls from Maddison and in table form KMT/WW2 data is not available and only pulling from closest data point 1938/1950 and naively extrapolating per capita. Because KMT data doesn't exist.
by WalterBright | 2026-02-08 05:37:27+00:00
> There are many others

Now that Musk led the way, sure. People laughed at Musk when he started out.

> NASA

Has sent a handful of probes out, only a handful because they are so costly. Now NASA can send out legions of them. There was a previous discussion here about why only one JWST was made and launched, at a cost of $10B. We all hope and pray it doesn't break down. Now with Musk's rockets we can launch lots of them and make N times the discoveries!

(With cheap launches, we don't have to make single machines that must be super reliable. We can make cheap machines at fractions of the cost, and so what if a few of them fail.)

Lowering costs by an order of magnitude changes everything.
by Zakodiac | 2026-02-08 05:39:19+00:00
I agree agents can break flow but I think the bigger issue is they hide too much, not that they're too intrusive.

Most agent tools right now don't give you good visibility into what sub-agents are doing or what decisions they're making. You zoom out, let it run, come back to a mess. Tools like OpenCode and Amazon's CLI Agent Orchestrator are trying to fix this - letting you watch what each agent is actually doing and step in to correct or redirect.

OpenCode actually removed the ability to message sub-agents directly. I get why - people would message one after it finished, the conversation would fork off, and the main orchestrator lost track. But I don't love that fix because being able to correct or pivot a sub-agent before it finishes was genuinely useful. They bandaided a real problem by removing a good feature.

Honestly the model that works best for me is treating agents like junior devs working under a senior lead. The expert already knows the architecture and what they want. The agents help crank through the implementation but you're reviewing everything and holding them to passing tests. That's where the productivity gain actually is. When non-developers try to use agents to produce entire systems with no oversight that's where things fall apart.

So I wouldn't want agent tools to be "calm" and fade into the background. I want full transparency into what they're doing at all times because that's how you catch wrong turns early. The tooling is still early and rough but it keeps getting better at supporting experts rather than trying to replace them.
Show HN: Codex-mem, 90% fewer tokens for Codex
by alfredray | 2026-02-08 05:39:44+00:00
I built codex-mem to give Codex persistent memory across sessions.

Benchmarked result:
- 99.84% token reduction (379,275 -> 596)
- ~60ms median to first memory context

It uses progressive retrieval (search -> timeline -> details), plus MCP tools and local-first privacy.
Repo: https://github.com/StartripAI/codex-mem
by burnt-resistor | 2026-02-08 05:40:08+00:00
There's so much Russian involvement and influence in the Trump administration, there's a dedicated Wikipedia page.[0] We already know Tulsi was part of a cult and believes lots of tinfoil conspiracy theories without any evidence and carries water for the Kremlin.[1] And, we already know Trump's first wife was likely a honeytrap.[2] It's still unclear whether Epstein gathered kompromat just to keep himself safe and investible, or if Mossad and/or the KGB utilized Epstein to compromise rich/famous/political figures too or they/either thought that aid would/did eventually lead to leverage they/either could/did wield.[3]

The point above are symptoms of the oligarchical capture of a supermajority of the American political system (e.g., legislative, judicial, and executive) and mass media constitute the greatest threat to humanity (within and beyond CONUS borders), future engines of economic prosperity for the 99%, world tranquility, and the standard of life of average people. It's not even a partisan issue except to those who wish to be divided-and-conquered and bark at powerless people they believe are valid scapegoats. I wish this current crisis would end and we could return to arguing about direct memory access or ALE XT-compatible ISA cards.

0. https://en.wikipedia.org/wiki/Links_between_Trump_associates...

1. https://www.independent.co.uk/news/world/americas/us-politic...

2. https://newrepublic.com/article/150646/young-trump-went-russ...

3. https://www.dailymail.co.uk/news/article-15516349/Epsteins-s...
by thegrim000 | 2026-02-08 05:40:41+00:00
Ah yes, to have AI write code for you, you simply just need to, let's see ..

"Document the requirements, specifications, constraints, and architecture of your project in detail. Document your coding standards, best practices, and design patterns. Use flowcharts, UML diagrams, and other visual aids to communicate complex structures and workflows. Write pseudocode for complex algorithms and logic to guide the AI. Develop efficient debug systems for the AI to use. Build a system that collects logs from all nodes in a distributed system and provides abstracted information. Use a system that allows you to mark how thoroughly each function has been reviewed. Write property based high level specification tests yourself. Use strict linting and formatting rules to ensure code quality and consistency. Utilize path specific coding agent prompts. Provide as much high level information as practical, such as coding standards, best practices, design patterns, and specific requirements for the project. Identify and mark functions that have a high security risk, such as authentication, authorization, and data handling. Make sure that the AI is instructed to change the review state of these functions as soon as it changes a single character in the function. Developers must make sure that the status of these functions is always correct. Explore different solutions to a problem with experiments and prototypes with minimal specifications. Break down complex tasks into smaller, manageable tasks for the AI. You have to check each component or module for its adherence to the specifications and requirements."

And just like that, easy peasy, nothing to it.

As a supreme irony, the story currently on the front page directly under this one ('You are here'), makes the claim "The cost of turning written business logic into code has dropped to zero. Or, at best, near-zero." in the very first sentence.
by zamalek | 2026-02-08 05:40:53+00:00
I got an 80y/o a System76, for basic tasks. Knowledge transfer from Windows was relatively quick, a week at most (she was willing, which is not always the case). Maybe we'll see Linux support call scamming, but that's not the case right now - that advantage of Linux for old people cannot be understated.

Probably the same for an iPad or Chromebook.
by hattmall | 2026-02-08 05:43:27+00:00
It's not like people don't know who they are though? It's not some secret formula of who is corrupt. It's everyone that's been in position for any length of time. If you don't yield to the corruption you won't be in your job long. The degree of corruption is variable and perhaps the LLM could find the most efficient wheel to grease and person to lean on but then you just have the next company doing more of the same.
by nurettin | 2026-02-08 05:45:06+00:00
> I'm still a Windows guy, and I always will be

As a 7 year old, I was a fan of a certain sports team. At 11 I stopped watching, collecting items and took off their posters.

When family members and friends asked me why, I told them that the original team had changed, all that remained was the club which I didn't care for.
by stephantul | 2026-02-08 05:45:38+00:00
IMO: trust-based systems only work if they carry risk. Your own score should be linked to the people you "vouch for" or "denounce".

This is similar to real life: if you vouch for someone (in business for example), and they scam them, your own reputation suffers. So vouching carries risk. Similarly, if you going around someone is unreliable, but people find out they actually aren't, your reputation also suffers. If vouching or denouncing become free, it will become too easy to weaponize.

Then again, if this is the case, why would you risk your own reputation to vouch for anyone anyway.
by sandGorgon | 2026-02-08 05:47:41+00:00
this is OpenClaw's docker compose yml - https://github.com/openclaw/openclaw/blob/main/docker-compos...

I'm not arguing for the relative superiority of jsonnet vs yaml vs anything else. I just recognise that Docker Compose is loved by most open source developers. And invariably any project you touch will have a docker compose setup by default.

I'm just making it possible to run those on kubernetes seamlessly.
by raincole | 2026-02-08 05:48:08+00:00
> The Digital Twin Universe is our answer: behavioral clones of the third-party services our software depends on. We built twins of Okta, Jira, Slack, Google Docs, Google Drive, and Google Sheets, replicating their APIs, edge cases, and observable behaviors.

And what they actually released is:

> strongdm/attractor

> spec of StrongDM's Attractor, a non-interactive Coding Agent sufficient for use in a Software Factory

And

> stromdm/cxdb

> CXDB is an AI Context Store for agents and LLMs, providing fast, branch-friendly storage for conversation histories and tool outputs with content-addressed deduplication.

Cringe. I hate this word but I can't come up with a better word to describe this. The only takeaway I got from this article is that I should improve my vocabulary so I can describe how stupid the whole thing is.
by sandGorgon | 2026-02-08 05:49:29+00:00
this is OpenClaw's docker compose yml - https://github.com/openclaw/openclaw/blob/main/docker-compos... . Arguably the hottest thing in the world right now. Mac Minis are out of stock because of this.

At no point, have I invented a new/better method. Perhaps your way is better.

I just recognise that Docker Compose is loved by most open source developers. And invariably any project you touch will have a docker compose setup by default. And it isnt going away, no matter hard anyone tries to kill. Some things are just too well designed. Docker Compose is one of those things.

I'm just making it possible to run those on kubernetes seamlessly.
by fy20 | 2026-02-08 05:49:46+00:00
> Say what you will, but AI really does feel like living in the future.

Love or hate it, the amount of money being put into AI really is our generation's equivalent of the Apollo program. Over the next few years there are over 100 gigawatt scale data centres planned to come online.

At least it's a better use than money going into the military industry.
by JumpCrisscross | 2026-02-08 05:50:52+00:00
> Taiwanese are not going to fight. China told them to be quiet and under threat that if they speak out they and their families will later face retribution, everyone went silent

Sorry, this is nonsense. I'm not Taiwanese. But I have a lot of Taiwanese friends, none of them in politics, half of them in America. They all speak out. Forcefully. Exhibit A for this being B.S. is the electoral history of Taiwan, particularly since Xi started his wolf-warrior bullshit in the late 2010s.

> I spent 3 weeks in the Philippines and 2 months in Japan. Neither can afford a war. The Philippines is too poor and Japan's debt is hovering around 235%–263% of its GDP

You have to be joking. Both have prominent militaries they're building up.

> Japan doesn't even have official diplomatic relation with Taiwan let alone a defense treaty

This is your first valid point.

> Japan is a mess with or without a war

This is Zero Hedge nonsense. Japan is a financial mess. They're also an industrial power, scientific powerhouse and potent–and building–military force.

> If you are US citizen I would recommend electing a US president with a backbone who isn't a pedophile -- for Taiwan's sake

Americans don't vote on foreign policy unless there is a draft.
by sandGorgon | 2026-02-08 05:51:02+00:00
this is done. Please feel free to try that.

Also, btw - kappal is architected AI first. Meaning:
1. we have a beautiful skill that can be used by Claude
2. The help command generates output that is useful for claude
3. we have a "kappal inspect" command that generates live output of the stack that can be used by Claude.

hope you have a great time using it. Please file bugs!
by somat | 2026-02-08 05:51:03+00:00
What are you talking about? The desktop experience on linux is far superior to that brain dead lowest common denominator junk as found on windows or macos.

linux has(by personal preference order) middle click paste, tiling window managers, point to focus, focus on lower windows, the compose key. The linux desktop is a productivity goldmine compared to windows. and I want to say mean things about the macos ui, but I don't really use it (the last time I tried it could not do full screen windows, But I have been told that is not true any more)
by QuadrupleA | 2026-02-08 05:52:30+00:00
Can we stop repeating this canard, over and over?

Every "classic computing" language mentioned, and pretty much in history, is highly deterministic, and mind-bogglingly, huge-number-of-9s reliable (when was the last time your CPU did the wrong thing on one of the billions of machine instructions it executes every second, or your compiler gave two different outputs from the same code?)

LLMs are not even "one 9" reliable at the moment. Indeed, each token is a freaking RNG draw off a probability distribution. "Compiling" is a crap shoot, a slot machine pull. By design. And the errors compound/multiply over repeated pulls as others have shown.

I'll take the gloriously reliable classical compute world to compile my stuff any day.
by anonnon | 2026-02-08 05:52:59+00:00
It's crazy how many developers are starry-eyed optimists about all of this, just casually assuming that they'll still be highly-paid, well-respected professionals ("we'll be like pilots, mostly monitoring the autopilot") if this technology doesn't hit a wall in the next year or two, despite lacking any of the legal protections that other professions enjoy.
by bbkane | 2026-02-08 05:53:22+00:00
I've been amazed at AI's usefulness for Linux sysadmin tasks.

Last week I installed KDE on a new computer with two identical SSDs. One I wanted to wipe for the OS and the other I wanted to keep the data on.

Unfortunately I couldn't tell which one to install the OS on! ChatGPT helped me open a terminal and run the correct udevadm and lsblk commands to see what files existed on each disk.
by neya | 2026-02-08 05:53:54+00:00
Honestly, Open AI isn't worth it. I cancelled my Open AI plan (and hopefully will delete my account soon once I export all my data out) because of philosophy differences. They shared they are evaluating a model where they can get a % of your business in exchange for letting you use code generated by their AI models. That and the possible advertising angle. But, that's not even the worst, I asked ChatGPT to fairly evaluate the risky model where one for profit corporation holds your entire intimate personal details and uses it for advertising, it staunchly defended OpenAI. That was the nail in the coffin for me.

Contrast to this - Anthropic actually asks you if you want their AI to remember details about you and they have lot of toggles around privacy. I don't care if they make money from extra tokens as long as they don't go the Open AI route.