MurphyA/hacker-news huggingface dataset:
by thallavajhula | 2026-03-01 16:45:14+00:00
When Ghostty was publicly announced, I used it for a few months and gave up on it due to the lack of support for the CMD+F feature that I use Terminal.app. This is a critical feature for me while tailing logs on my local. I tried the workaround of capturing the text into a text file and then searching it. It just didn't work for my workflow and dropped it. Ghostty is great otherwise. But, without the CMD+F, it's of no use to me.
by Shadowmist | 2026-03-01 16:45:20+00:00
I get benefits with AI both on the writing the code part and the understanding the problem part. If AI disappeared tomorrow I’d probably still enter “plan mode” in my head. I like having the discussion with the AI about requirements and edge cases and all that, while it updates the plan and documents architectural decisions in CLAUDE.md. I love that I can add extra polish, such as color to terminal output, or other random features that would have not made the cut before. Instead toiling on a random one off script to fix a problem I can have a whole CLI build that is a joy to use. Explaining complex architecture is easy now because instead of a boring EDD I can slop out animations that demonstrate data moving and transforming through a system.
by xanthor | 2026-03-01 16:45:48+00:00
Please calm down. They might not like Trump — that would be a given for many in these elite circles — but are they really opposed to the prevailing world order? In what material way?

How does being Swiss contradict anything I said? Switzerland is deeply integrated into this prevailing order. It is home to the Bank of International Settlements, the supra-national central bank of central banks whose charter grants it immunity from any national subpoena or inquest.
by RevEng | 2026-03-01 16:46:20+00:00
But that was a large part of it. When it was difficult to write correct, well-structured code, that was a major determinant in who would get a job as a developer - ability to design and test came second. Now that generating code is automatic, it's the rest that becomes important. That works well for those of us who could do all of those things, but hurts those whose only ability was to generate code.
by klibertp | 2026-03-01 16:46:21+00:00
In terms of the number of lives lost? Yes. Guerrilla resistance is a way of trading important advantages (like control of the territory or political legitimacy) for time and human lives. Guerrillas in a favorable environment tend to suffer much lower casualties per fighter per unit of time than trench warfare along a frontline.

It's a desperate measure, but so is snatching people from the street to bus them off to trenches.

Personally, I think people can live through almost any hell (and can make a comeback later) - unless they die, in which case they can't do anything anymore. Decades of hard times, in this view, are preferable to tens of thousands of excess deaths per year over a decade.

I understand why people are reluctant to consider this - I'm just trying to show that there are alternatives to the current situation; not strictly better, but at least presenting different trade-offs. In a situation of "existential defensive war," we should discuss all plausible options, even the most controversial ones.
by avaer | 2026-03-01 16:46:41+00:00
"Aping in" in crypto means (meant?) buying crypto without doing any research.

I know it's not what the thought piece is about, but it's equally accurate to say engineers are "aping in" on AI coding without doing any research. Very much the same vibe, my anti-AI friends suddenly flipped their tune to shill slopped together apps.

I expect it to go about as well as it did in crypto.
by mootothemax | 2026-03-01 16:46:45+00:00
For context, BERT is encoder-only, vs SLMs and LLMs which are decoder-only, and BERT is very much not about generating text, it’s a completely different tech and purpose behind it. I believe some multimodal variants nowadays may muddy the waters slightly, but fundamentally they’re very different things, let alone around been around for decades unless also including the history of computing in general.

While I could’ve written that better and with less attitude, gotta confess - and thx for pointing out my smugness - the AI stuff of the last few weeks really got under my skin, think I’m feeling all rather fatigued about it
by jcranmer | 2026-03-01 16:46:51+00:00
The Ottoman Empire lasted 600 years with only one major civil war, a feat not matched by any major Christian European country. England faced 3½ civil wars (counting the Hundred Years War as a ½ civil war here, because while it is essentially a dynastic dispute, it's not a dynastic dispute over England itself but rather English holdings in France) in the same timeframe. And this despite the Ottoman successor law being essentially "battle royale among eligible candidates" whereas standard European succession by this time is the seemingly clear "eldest son" yet somehow creating endless succession disputes.
by bornfreddy | 2026-03-01 16:46:56+00:00
Wtf? Once it was AI. Then the models started passing the Turing test and calling themselves AI, so we started using AGI to say "truly intelligent machines". Now, as per the definition you quoted, apparently even GPT-3 is AGI, so we now have to use "ASI" to mean "intelligent, but artificial"?

I think I'll just keep using AI and then explain to anyone who uses that term that there is no "I" in today's LLMs, and they shouldn't use this term for some years at least. And that when they can, we will have a big problem.
by yearolinuxdsktp | 2026-03-01 16:47:03+00:00
It’s a shame that version 1.2.x got abandoned and didn’t receive any important bug fixes. That has severely cut my trust into this project. It’s been over 4 months since the last 1.2.3 release, so the memory leak when using Claude is not addressed, my Ghostty crashes are not addressed (crash reporter doesn’t work), I don’t even bother looking at the issues anymore, as I know I am not getting the fixes for a long time.

And I’m not running a critical piece of productivity software on a nightlies channel!
by KPGv2 | 2026-03-01 16:47:16+00:00
This labor was, pre-war, a bunch of poor, uneducated serfs (basically slaves). But leading up to WWII, they were transformed into educated, literate, laborers. Also the USSR had invested leading up to WW2 in agriculture outside Ukraine (since the Nazis controlled it).

So while there was less labor, they were far more productive labor thanks to post-revolution, post-WWI measures
by chasd00 | 2026-03-01 16:47:30+00:00
> Seems like a terribly depressing way to live but pretty common in tech/upper middle class circles.

For some it works for some it doesn’t. The hard problem is knowing yourself well enough to make the right choice. Personally, I’m in the “you get what you give” camp but I know not everyone is. Again, the key is knowing which camp you actually belong in. I want to add that “knowing yourself well enough” is no small task and can take a lifetime meanwhile you encounter the forks in the road of life almost daily so.. much easier typed than done.

/turning 50 in about 2 months so, while not that old enough to be considered wise, have been around the block once or twice
by bigyabai | 2026-03-01 16:47:40+00:00
> iOS devices are not toys

iOS devices are. My iPad is the most useless piece of technology I own, calling it a "computer" is an insult to the actual computers I own. It's a toy, and not even a fun toy compared to my Nintendo Switch.

Android handles serious workloads fine, macOS takes software seriously. iOS is the only operating system that treats gatchapon as the pinnacle of high-performance workloads.
by sideeffffect | 2026-03-01 16:48:07+00:00
Or maybe you can solve it like I did -- by using a font that does the (IMHO) right thing with regards to ligatures

https://github.com/0xType/0xProto#4-ligatures-that-dont-defo...

I can't recommend 0xProto enough, the only thing I'm sorry about is that I didn't find it sooner :)
by spenvo | 2026-03-01 16:48:18+00:00
"On Friday afternoon, Anthropic learned that the Pentagon still wanted to use the company’s AI to analyze bulk data collected from Americans. That could include information such as the questions you ask your favorite chatbot, your Google search history, your GPS-tracked movements, and your credit-card transactions, all of which could be cross-referenced with other details about your life. Anthropic’s leadership told Hegseth’s team that was a bridge too far, and the deal fell apart. Soon after, Hegseth directed the U.S. military’s contractors, suppliers, and partners to stop doing business with Anthropic."
by samiv | 2026-03-01 16:48:35+00:00
Software is just means to an end. Data and data transformation is what people want. Software has sellable dollar value only because creating the software to do the data transformation has had real associated cost. I.e anyone who wanted a particular data transformation had to pay to get the software that does it.

When you drive down that cost you drive down the potential value of the software products. Remember that what is a cost to one party is revenue to the other party. Without revenue there cannot be profit and without revenue software has no dollar value.

If anyone can create "photoshop" with minimal cost and there are thousands of said "photoshop" apps what will be the retail sell value of those apps. Close to zero.

This same lifecycle already happened with games. Driving down the cost of producing games resulted in a proliferation of games that are mostly worthless that you can't even give away.
by alemanek | 2026-03-01 16:48:38+00:00
What I am excited about is the possibility of LLMs to draw conclusions from the last 150years of scientific papers.

There have been lots of instances of knowledge being rediscovered even when it was previously published but sitting on some shelf forgotten. LLMs ability to digest large volumes of data will I think help with this issue.

We will still need to reproduce and verify conclusions but will be interesting to see what might come from this.
by SoftTalker | 2026-03-01 16:48:42+00:00
Before streaming, if you didn't live in a large metro area, cable got you a good clear picture and more than one or two channels. That was the selling point for it when I was a kid. With OTA reception we would have had two channels with a clear picture and maybe two or three more with a lot of static/snow.

Cable just carried regular broadcast channels back then. The value you paid for was more channels and better picture, not avoiding ads. HBO was the first premium add-on, and it didn't have ads.

Some people set up a big dish antenna in their yard so they could get content directly off the satellite backhaul. This might not have had ads but it was a fairly big investment and you had to be sort of an AV geek to use it.
by lnrd | 2026-03-01 16:48:47+00:00
Giving an Android phone to elderly/non-technical people is asking for trouble imho. They will eventually tap their way into installing suspicious apps, adware or even straight up malware. It's inevitable, they are not aware of what they do and how to avoid the many risks of the digital world.
I remember having the same struggles of OP when setting up a cheap android phone for my grandma, the amount of bloat, adware and misleading content I had to remove was incredible (and some couldn't even be removed). The irony was that after a few months of light usage, the phone was in a state even worse, full of downloaded apps and opened suspicious websites in the browser. She would swear she never even noticed any of those.

This is one of the cases in which giving them an iPhone with its walled garden has great benefits. You can also setup parental control on top of that already locked down ecosystem.
by ghm2199 | 2026-03-01 16:49:04+00:00
We should just have phones connected to AI bots of our own that talk to them.

I've used CC with chrome to access social feeds autonomously and give me a notification at set times of the day, summarizing everything that I feel is worth knowing about— local events, local municipal announcements, some misc comics and some harmless fun with dogs/OnlyInNYC. It really takes out all the FOMO driven brain fuckery of feed and ads.
by byang364 | 2026-03-01 16:49:45+00:00
The Opus 4.6 thread was full of "very smart" and experienced SWEs likening model weights to neurons. And again, any DL curriculum worth its salt will thoroughly debunk that comparison, i.e. Justin Johnson. In this day and age it seems the Darios and Altmans have successfully waged the most damaging propaganda campaign in modern time. Even the Pentagon is lining up to relegate its decision making to black box stochastic ML models. Tech as an industry is unfortunately extremely gullible, all the more so when pressured by the market, VCs, clueless PE analysts, the tech blogger/grifter complex. Foundation model makers can get away with hiding training data while proclaiming they are building a "moral" neural network while no one bats an eyelash.
by andai | 2026-03-01 16:50:55+00:00
I call it Tradcoding. Not using AI for anything. (You just copy-paste from StackOverflow, as our forefathers once did ;)

I also have two levels "beneath" vibe coding:

- Power Coding: Like power armor, you describe chunks of code in English and it's built. Here you outsource syntax and stdlib, but remain in control of architecture and data flow.

- Backseat Coding: Like vibe coding but you keep peeking at the code and complaining ;)

- Vibe Coding: Total yolo mode. What's a code?
by andrewflnr | 2026-03-01 16:51:55+00:00
You should follow more seriously which usernames you're talking to. But as far as objective criteria, if a regime change happens I don't expect it to be subtle or debatable. Seeing the IRGC disbanded would be a pretty solid signal, though.

Obviously it's not going to be done 100% from the air. The Iranian people will have to play a big role. I just hope they manage to seize initiative from Trump and Netanyahu as far as how their government is run.

I do note that we've strayed a bit from the thesis of "Iran is so powerful Israel and the US have to gang up on it". :D
by kir-gadjello | 2026-03-01 16:52:05+00:00
They are not equivalent 1:1, esp. in knowledge coverage (given OOM param size difference) and in taste (Sonnet wins, but for taste one can also use Kimi K2.5), but in my hardcore use (high-performance realtime simulations of various kinds) I would prefer StepFun-3.5-Flash to Sonnet 4 strongly and to 4.5 often enough without a decisive advantage in using exclusively Sonnet 4.5. For truly hard tasks or specifications I would turn to 5.2 or 5.3-codex of course - but one KPI for quality of my work as a lead engineer is to ensure that truly hard tasks are known, bounded and planned-for in advance.

Maybe my detailed, requirement-based/spec-based prompting style makes the difference between anthropic's and OSS models smaller and people just like how good Anthropic's models are at reading the programmer's intent from short concise prompts.

Frankly, I think the 1:1 equivalent is an impossible standard given the set of priorities and decisions frontier labs make when setting up their pre-, mid- and post-training pipelines, and benchmark-wise it is achievable for a smaller OSS model to align with Sonnet 4.5 even on hard benchmarks.

Given the relatively underwhelming Sonnet 4.5 benchmarks [1], I think StepFun might have an edge over it esp. in Math/STEM [2] - even an old deepseek-3.2 (not speciale!) had a similar aggregate score. With 4.6 Anthropic ofc vastly improved their benchmark game, and it now truly looks like a frontier model.

1. https://artificialanalysis.ai/models/claude-4-5-sonnet-think...
2. https://matharena.ai/models/stepfun_3_5_flash
by 3abiton | 2026-03-01 16:52:29+00:00
I think it's worth mentioning, that the achilles heel of DT, is in fact, data (more specifically feature) engineering. If one does not spend significant time cleaning and engineering the features, the results would be much worse than, say a "black box" model, like NN. This is the catch. Ironically, NN can detect such latent features, but very difficult to interpret why.
by KPGv2 | 2026-03-01 16:52:30+00:00
> In a sense it's not surprising this idea comes from rationalism-adjacent folks, as rationalism is mostly about the idea that experimentation is irrelevant and you can infer anything using just logic alone.

Yeah IIRC Yudkowski famously said something about a super intelligence could derive the theory of gravity correctly by seeing only three frames of a video depicting an apple falling from a tree. This is the same Less Wrong nonsense, rejecting how vital and irreplaceable experimentation is.

There's an infinite number of explanations for the location of an object in three equally time-spaced instances. Not to mention limitations of the measuring equipment itself.
by estimator7292 | 2026-03-01 16:52:34+00:00
This is the difference between being an engineer and being a clock puncher. You don't care about the business, you don't care about the product, you don't care about society as a whole. So long as you get your paycheck and your annual pay bump, fuck absolutely everyone and everything else, right?

Don't worry, just leave all your problems for someone else to fix. I'm sure that won't have any lasting consequences at all.
by westurner | 2026-03-01 16:52:56+00:00
Why ZephyrOS?

ZephyrOS:
https://github.com/zephyrproject-rtos/zephyr

Would there be value in modeling this system with TLA+?

Why build another open product?

There are a few GitHub topics for solar electricity:

solar: https://github.com/topics/solar

photovoltaic: https://github.com/topics/photovoltaic

pv: https://github.com/topics/pv

battery-management:
https://github.com/topics/battery-management

ups-management:
https://github.com/topics/ups-management

inverter: https://github.com/topics/inverter

Photovoltaic system:
https://en.wikipedia.org/wiki/Photovoltaic_system
by coldtea | 2026-03-01 16:54:01+00:00
>What’s the importance of then learning to contribute if they will probably jump ship anyway when they get good enough? Your HR department is not going to give them a market rate raise to keep them - see salary compression and inversion.

Obviously that hasn't historically been true, else there wouldn't be any senior developers as companies would have wised up to that and nobody would hire them as juniors.

- Not everybody is a job hopper (even in Silicon Valley one sees that most junior FAANG devs stick around for a good while).

- The HR department is absolutely going to give junior developers that pass the cut after a year or so a market rate raise.

- In limited hiring periods, they'd be grateful to have the chance to stick around, while in bullish "boom" periods companies can afford to spend to keep people, expand and give them bigger roles, and so on. It's in the in-between that it becomes more problematic, but now we're in a "limited hiring" era.

>Yes not having juniors become seniors is an industry problem. But my goal is to reach my company’s quarterly and anual goals - not what’s going to happen 10 years from now.

That's how companies fail.

It's also not a good strategy at the personal level. If you command more devs, you get more leverage.
by matheusmoreira | 2026-03-01 16:54:03+00:00
How is that any different from you? Everything you say or do merely reflects which of your neurons are firing after a lifetime's worth of training and education.

Philosophically, I can only be sure of my own conscience. I think, therefore I am. The rest of you could all be AIs in disguise and I would be none the wiser. How do I know there is a real soul looking out at the world through your eyes? Only human empathy allows me to believe you're all people like me. You might all be exceedingly complex automatons for all I know.
by sidk24 | 2026-03-01 16:54:10+00:00
Author here. I work on authorization infrastructure (OpenFGA maintainer, CNCF Incubating) & have been building agent security tooling.

The Check Point disclosure this week (CVE-2025-59536, CVE-2026-21852) showed that malicious repo configs could execute shell commands and steal API keys before the trust prompt even appeared. Anthropic patched the specific bugs. But the underlying problem is architectural.

Claude Code gives you two options: approve every mkdir & npm test individually, or pass "--dangerously-skip-permissions" & give the agent unrestricted access to your filesystem, network, and shell. Most devs end up on the second option within a week.

We solved this for CI/CD and service accounts decades ago. Declarative policies, scoped permissions, audit trails. None of that exists for AI agents yet.

The post lays out what a real permission model would look like: declarative policy files per project, relationship-based scoping (so a feature branch agent gets different access than a production hotfix agent), and structured audit logs by default.

Happy to answer ques. about the auth patterns or the Check Point findings.
by microtonal | 2026-03-01 16:54:19+00:00
FYI: you can also set up parental controls on Android.

Parental control is a also a hot buggy mess on iOS currently. Our daughter has an iPhone with parental control set up and a bunch of apps that are whitelisted regularly refuse to start at random moments (blocked by parental controls). We hoped that iOS 26 would finally fix it, but nope.

It doesn't really matter, both phone ecosystems are a mess, but in different ways.
by jayd16 | 2026-03-01 16:54:32+00:00
It's pretty strange to me that we imagine a world where AI can handle every problem but we still talk about code. It's like how the Jetson's had bulky TVs.

You don't talk about all the assembly high level languages make, or at least it's no longer how people view things. We don't say "look at this assembly I compiled." Instead the entire concept fades to the back.
by addend | 2026-03-01 16:54:42+00:00
On my Windows PC it takes GIMP 15 seconds to start and get into a state where I can edit. It loads palettes, initializes and what not, according to the splash screen text. That's too slow, so I never use it for quick image edits like crop, scale or color changes. But that in turn has the effect that I never learn the unusual UI. Which means that for more complex task I avoid it too. Other zero cost tools like the web based Photopea loads super fast and mimics the UI of leading image editing suites. It thus beats GIMP on both quick and easy tasks and more complex tasks.
by djha-skin | 2026-03-01 16:54:52+00:00
I would probably just call it hand coding, as we say we use hand tools in wood working. Many do this for fun, but knowing the hand tools also makes you a better woodworker.

It's an interesting question: Will coding turn out to be more like landscaping, where (referring to the practice specifically of cutting grass) no one uses hand tools (to a first approximation)? Or it will it be more like woodworking, where everyone at least knows where a Stanley hand plane is in their work shop?
by lanstin | 2026-03-01 16:54:56+00:00
Why would you think a system that can reason well in one domain could not reason well in other domains? Intelligence is a generic, on-the-fly programmable quality. And perhaps your coding is different from mine, but it includes a great deal of general reasoning, going from formal statements to informal understandings and back until I get a formalization that will solve the actual real world problem as constrained.