MurphyA/hacker-news huggingface dataset:
by computably | 2026-03-04 17:31:07+00:00
> I don't think we'll get their by scaling current techniques (Dario disagrees, and he's far more qualified albeit biased).

If Opus 4.6 had 100M context, 100x higher throughput and latency, and 100x cheaper $/token, we'd be much closer. We'd still need to supervise it, but it could do a whole lot more just by virtue of more I/O.

Of course, whether scaling everything by 100x is possible given current techniques is arguable in itself.
by incognition | 2026-03-04 17:31:10+00:00
This is a Keynesian argument, which has largely been disproved. Keynes famously said if you just paid people to dig holes and fill them back up again, that this would be net stimulative to the government. It works until it doesn't work, because digging holes, as you can reason from common sense, does not actually create value.

This U.S. operation is meant to bomb the Iranians into the Stone Age, so presumably THAAD-level air defense wouldn't be needed again. The Qataris, Saudis would have sold off to South Korea, Taiwan if they wanted.
by CloakHQ | 2026-03-04 17:31:26+00:00
the heartbeat approach makes sense. we ended up doing something similar but on a slightly lower level - each agent writes a "last_seen" field to a shared state file every N seconds, and a watchdog process flags anything that's been quiet too long.

the tricky part we ran into: what counts as "active"? an agent can be mid-computation (legit busy) or just hung. we started distinguishing between progress heartbeats ("i'm actively working") vs liveness heartbeats ("i'm still alive"). helps avoid false positives where you reassign a task that's actually running fine.

the queryability point is underrated btw. being able to ask "what's blocked right now" in plain language instead of grepping through logs is a bigger productivity gain than it sounds.
by Ronsenshi | 2026-03-04 17:31:47+00:00
I've tried using Codex and ChatGPT while working on a small SwiftUI app. It's not very good when it comes to newer APIs and features - I imagine due to lack of data about these things. Very often it would rather push something AppKit-based instead of SwiftUI.

It works, but feels really janky and messy.

I had one very annoying bug with file export API where extra view on export window would appear with a delay. No matter what I tried it didn't manage to fix it. Instead it would go on to try and completely rewrite whole file export class in various ways... which still didn't work as it claimed it would. Ended up fixing it manually by caching instance view locally.
by kbolino | 2026-03-04 17:31:57+00:00
It is not always necessary to explicitly use prepared statements, though. For example, the pgx library for Go [1] and the psycopg3 library for Python [2] will automatically manage prepared statements for you.

[1]: https://pkg.go.dev/github.com/jackc/pgx/v5#hdr-Prepared_Stat...

[2]: https://www.psycopg.org/psycopg3/docs/advanced/prepare.html
by argee | 2026-03-04 17:32:02+00:00
That's cute, but pure fantasy, imo. There's no non-trivial code that's actually used and maintained that's going to be immune to obvious deficiencies that get overlooked. Look at this [0], for example. Simple as can be, obvious defect in a critical area, left out in open source for ages, a type of bug an LLM would be liable to generate in a heartbeat and a reviewer could easily miss. We are human after all. [1]

[0] https://www.theguardian.com/technology/2014/feb/25/apples-ss...

[1] https://pmc.ncbi.nlm.nih.gov/articles/PMC9436839/
by troupo | 2026-03-04 17:32:34+00:00
People should stop giving Steve Yegge as much attention as they do.

It's slop on top of slop on top of slop. It's not even quality slop. Apart from bloviated self-aggrandising blog posts, the ideas are trivial, and the execution is beyond horrendous.

Look beyond the ChatGPT-generated terminology to see the supervisors, loops and worker processes of Gas Town. Now it's a freelance board with AI agents as freelancers. But sure, polecats, mayors, stamps and character sheets. Whatever floats your upcoming crypto rug pull [1].

This is what he writes: "build stuff really, really fast. So fast that your biggest problem will be ideas." We've yet to see ideas built using the slopcoded monstrosities.

[1] https://pivot-to-ai.com/2026/01/22/steve-yegges-gas-town-vib...
by vitorlourenco | 2026-03-04 17:32:39+00:00
Shipping fast is not the hard part anymore.
Understanding what is safe to change is.

In our latest CodeSlick / Endure post, we break fragility down into two forces:
. Intent drift inside files
. Hidden coupling between them

When both grow quietly, refactors become incidents.
If you lead a team working on a living, evolving codebase, this model may feel familiar.
by arndt | 2026-03-04 17:33:08+00:00
Yes, it works with subscription or API key. We use it with Max 20x. But in full disclosure, I do not know what plans the Anthropic team has, and they've been sending mixed messages. We'll start adding support for other providers/models as well.

A single markdown file will definitely reach its limits very quickly. We also try our best to provide templates for the standards for the agent to follow in the initial code review and interview with you to make those cover all the basics. Obviously this isn't proprietary to us, just works really well in our opinion.
by jacquesm | 2026-03-04 17:33:19+00:00
Bollocks. I've been making grid connected hardware for decades, there is nothing magical about any of that. You just need to be careful, use proper fusing and you need to know how to read the electrical code.

Competent electricians are licensed professionals who (1) stand to make money on selling gear and (2) have customers that hire them simply because they don't want the hassle or the liability. Obviously a licensed professional is not going to install your home brew inverter, but at the same time if you can design a homebrew inverter you probably don't need a licensed professional anyway.

I've rewired lots of homes and have never had an issue with any of this and designed my first inverter when I was 17 to power my room when my betters decided I should go to sleep and cut the power.

This stuff is not magic. If someone designs a modern open source inverter I'm definitely going to build and install it. Fortunately insurance companies here are reasonable: if your homebrew device wasn't the cause of the mishap then you are still insured.

The one thing they are very strict about is gas, because there is no such thing as a 'fuse for gas'. But if you've properly designed and fused your gear then it should be no less safe than any other grid connected device, even if the magic UL or TUV mark isn't there.

The big one is EMI, that can be hard to get right and you need some gear for this, which is why it pays off to pool the money for an open source design to be certified. And once certified of course the design is 'type approved' and frozen, so you can't change any of the hardware without going through recertification. This is expensive, but if you don't do it every other week should still be well within the means of a properly set up open source project.

Why the fearmongering? It's not as if we're 12 here.
by tristor | 2026-03-04 17:33:22+00:00
I spent the last day deep diving on what I can do with MLX with local models. I still feel limited, because you have to use quantized models, but I think it's enough to do /something/, so I went ahead and bit the bullet and pre-ordered just now. I am driven a little bit by concern about ongoing memory market pressures over the next 1-3 years, and thinking it's a bit now or never.
by xantronix | 2026-03-04 17:33:30+00:00
I cannot tell if this is a genuine sentiment or parody; in this space, the two coincide with one another so frequently these days that it's hard to tell.

Please don't give up. This too shall pass. The bill for the worst excesses in this great experiment will come due. I can imagine the need to reckon with the growing technical and cognitive debt in a responsible way will be an existential issue for some enterprises. Somebody will need to step in and be the adults in the room.
by Modified3019 | 2026-03-04 17:33:33+00:00
That’s exactly how I try to use the phrase, usually when pushing back against falsified ideas I likely accepted to some degree myself and later looked into. Like the whole thing with alpha/beta male wolf mythology vs real observation in the wild.

Incidentally, just yesterday I learned the sun is “white”, because I was looking at why veins are bluish (despite low oxygen blood actually being just dark red) and looking into light scattering effects that are the cause.
by PaulHoule | 2026-03-04 17:33:54+00:00
Hilarious too that he uses the word "wasteland" for something that's supposedly good. Perhaps it is a double coding where all of us normies mock it but the FOMO-blinded have their own private reading and say the rest of us are totally wrong.

Reminds me of those 419 emails where the grammar is bad, the story makes no sense, but hey there really are people who expect $10 million to fall out of the sky because they already had $10 million fall out of the sky on them.
by btilly | 2026-03-04 17:34:15+00:00
To be fair, the simple answer is not so simple within Google.

The issue is that Google achieves reliability by insisting on n+2/n+1. Globally your service is in at least 2 more data centers than is required for full load. In each region in at least 1 more data center than is required for full load.

If you're using the Google toolchain, all of the scalability and fallover problems are automatically handled by the layers that you're relying on. Which everyone expects you to use, because they are already integrated into the environment.

But if you go to use Postgres as a data storage layer, then you also need to take care of replication, failover, backup, and make sure that this is integrated with the automated systems that Google already has to detect when this is needed. Even after you've done that, people from outside of your team will need to be convinced that you've done that. Simply because you're doing things differently, you'll get extra scrutiny.

As a result, even if Postgres would have worked perfectly well, it is usually not the optimal answer for someone who is working within Google's environment. Don't think of it in terms of, "Does this do the job?" Think about it in terms of, "Can those in the broader organization easily certify that this does the job?" That certification is easier when you use standardized parts that are themselves already certified within the organization.

My guess is that your interviewer was aware of this. And was left with, "What about that question that I didn't think to ask you about?"
by epistasis | 2026-03-04 17:34:28+00:00
> Developers should have laptops with 1366x768 screens, 4GB if RAM, and dual-core Intel Atom processors.

I used to support federal laws towards this end. However, now I think the advocacy needs to be updated for the era of LLMs, as developers can just let the testing chug away and come back later. (Note: I did not actually support such laws.)
by abhikul0 | 2026-03-04 17:34:47+00:00
Are you running it locally with llama.cpp? If so, is it working without any tweaking of the chat template? The tool calls fail for me when using the default chat template, however it seems to work a whole lot better with this: https://huggingface.co/Qwen/Qwen3.5-35B-A3B/discussions/9#69...
by frmersdog | 2026-03-04 17:34:51+00:00
Go read /r/LawyerTalk and enjoy the horror of the dawning realization that this is a lot of professionals. I think it's an issue that stems from getting too deep into the minutiae of the technical and cultural matters of one's field; you become a really good scientist, or lawyer, or SWE (by the standards of scientists and lawyers and SWEs), and end up coming to conclusions that everyone outside the bubble looks at and says, "That's absolutely asinine." Well, laymen just don't understand the details, you know? (Even though the whole point of these professions is to provide services to laymen, fix problems laymen come to them with, and guide laymen to make practical and logical decisions when a $500/hr appointment isn't called for.)

These people take themselves too seriously, and other people only take them seriously when there are material ramifications for not doing so. Otherwise, they're viewed as pompous busy-bodies and don't do themselves any favors by playing to the role.
by pocksuppet | 2026-03-04 17:35:06+00:00
Exactly. (A)GPL tried to balance this, in ways that still partially work. MIT software just throws its hands up and donates itself to evil megacorps in anger.
If you believe in charity for ordinary people but not for evil megacorps, you'll put something in the license that evil megacorps don't like, or that forces them to work for the benefit of everyone by releasing their work that builds on yours.

You can't write "Amazon may not use this" and still be free as in freedom, but terms that force sharing seem to work.
by martinjaeger | 2026-03-04 17:35:20+00:00
That's basically what most software Open Sorce projects state in their licenses as well: Use at your own risk. As someone who publishes design files openly you really don't want to be liable if someone uses the hardware in a wrong way.

That being said, the Libre Solar components are also meant to be used as the basis for customization (hence, called building blocks). Some of the devices are used with minor modifications in certified commercial products.

Apart from boats/caravans, DC systems are used a lot for rural electrification in the global south. This is also where the communication features of Zephyr RTOS are very important.
by dijit | 2026-03-04 17:35:29+00:00
telling that this is flagged 1 minute into submission.

Microsoft hardware was in the premium tier for sure (and continues to be: relative to others), but these days nearly all the OEMs have pretty bad warts across the line-up, even the surface books, even the new ARM ones (which are quite good).

For work I have a Thinkpad T14S (ARM also) and it is a better quality notebook than the Surface book others in my organisation have (those feel like a 95%-ish imitation of Macbooks, the only variations being strict downgrades in their respective areas).

So I'd push back on the idea that nobody is making good Windows computers, but it seems to be fewer and fewer, and the big brands like Dell Latitude and HP Elitebook are also dropping the ball for a long time now.
by humanperhaps | 2026-03-04 17:35:33+00:00
While I agree with you, I think it's important to note that MacOS does swap to disk quite often, even on 16 GB. While it's rarely noticeable due to how fast the internal SSDs are, it still leads to some degree of SSD wear (and disk i/o usage) that could be avoided with additional RAM. I can't imagine this leading to drive failure considering how long the lifespans of SSDs are though.
by SunshineTheCat | 2026-03-04 17:36:07+00:00
This is really well put.

It's interesting, for years I have been trying to make my iPad a nice, slim laptop I could bring with me everywhere for lighter/coding specific tasks. I've gone through several keyboards trying to make this work. It never has.

Now with this laptop, I can do exactly this, while being cheaper than what I've been attempting to do with an iPad.
Show HN: QLoRA fine-tuning in .zse INT4 format by ZSE
by zyoralabs | 2026-03-04 17:36:17+00:00
Released v1.4.0 of ZSE with QLoRA fine-tuning support for INT4 models.

Verified benchmarks (H200 GPU, Qwen models):

Model File Size VRAM (Inference) VRAM (+ Training) Speed
7B 5.57 GB 5.67 GB ~8 GB 37.2 tok/s
14B 9.95 GB 10.08 GB ~14 GB 20.8 tok/s
32B 19.23 GB 19.47 GB ~26 GB 10.9 tok/s
72B 41.21 GB 41.54 GB ~52 GB 6.3 tok/s
What this means:

Train 7B models on RTX 3070/4070 (8GB)
Train 32B models on RTX 3090/4090 (24GB)
Train 70B models on A100-40GB or 2x 3090

Usage:
from zse.format import load_zse_model
from zse.training import LoRAConfig, add_lora_to_model

model, tokenizer, info = load_zse_model("model.zse")
model = add_lora_to_model(model, LoRAConfig(rank=16, alpha=32))

# Train normally, adapter is ~25MB
save_lora_adapter(model, "my_adapter.safetensors")
Trainable params: 0.2% of model (12M params for 7B)

pip install zllm-zse[training]

Code: github.com/zyora-ai/zse
by avaer | 2026-03-04 17:36:33+00:00
What's the incentive for anyone to participate in this? It seems wildly expensive (in tokens), high mental overhead to understand, high hardware cost. So what's the upside?

Is it for people with too much money and time on their hands to flex on Github?

I could at least understand the pitch if there was a crypto scam attached, or if folks were getting paid somehow (which might be an interesting social/AI experiment). But that doesn't seem to be the case.
Show HN: Non-Human Assistant with near AGI capabilities
by amplifyco | 2026-03-04 17:36:35+00:00
Nova exists to be the proactive half of your intelligence — noticing what you'd notice if you had infinite time, acting on what needs doing before you ask, and learning enough about you to anticipate rather than just respond.

A fully autonomous Non-Human Assistant you run on your own server. It connects to you via Telegram (and optionally voice, email, WhatsApp, and X), builds a persistent memory of who you are, and can take real-world actions on your behalf — from writing emails to making phone calls to researching the web.

Acts on your behalf Sends emails, posts to X and LinkedIn, makes phone calls, books calendar events, and follows up with contacts. Nova takes action. You just ask.

Learns who you are Your contacts, preferences, and working style. The more you use it, the more Nova thinks and writes like you.

Nova applies 18 defence layers to every message.

Stays on your server Zero third-party data sharing. Open-source, No monthly SaaS fee.
You own the infrastructure, the data.
by phil21 | 2026-03-04 17:36:39+00:00
Mostly folks who bought base model with small amounts of RAM I imagine.

While it’s workable, anything less than 24GB to me feels rather constrained. I definitely am not efficient though - leaving way too many browser tabs open I never actually get back to, running a few chrome profiles for work/side hustle/personal, etc.

I don’t think I’ve ever been CPU constrained for many years now. The few times I need to something that maxes out CPU just isn’t worth the upgrade vs taking a break to grab a cup of coffee.
by vikramkr | 2026-03-04 17:37:04+00:00
I haven't been on campus in a few years but even then paper was basically absent on campus. A class where a professor wouldn't allow tablets or laptops to take notes would be an aberration and a PITA. I remember I had to write like a paper check once and I had to physically go buy a pen since neither I nor anyone around me had a regular writing utensil on hand.

The exception was when people were taking orgo or a diagram heavy class. For that semester not everyone would have a tablet and some people would have pens and pencils. Or writing classes that still required a handwritten essay for the final exam
by strix_varius | 2026-03-04 17:37:13+00:00
It seems like the safety inspector might be closer to a SOX compliance auditor or something... in this metaphor, the engineer who doesn't build something that "catches fire" is just the one who uses sensible materials, includes smoke alarms in the design, and chooses to use passive insulation in the walls instead of electric space heaters on a high-pile rug.
by altairprime | 2026-03-04 17:38:11+00:00
In the general case beyond this post specifically, drop an email to the mods when a submission is particularly badly written (and note why: if it seems AI-generated, if it sees manipulative emphasis on marketing words, if it’s low-content rabble-rousing like most GitHub issues links, etc); they seem to care about writing quality, and can take more direct action than we can as users.
by sibeliuss | 2026-03-04 17:38:27+00:00
I'm extremely cautious about complexity, yet have adopted a claude-based dev flow. It comes down to watching and guiding it, and not letting it run autonomously. At a certain point your codebase will tip over into the patterns you've defined and claude will recognize and follow them. Just treat Claude as a vim editor mode and you will see a big difference, and your relationship to the tool will change.
by corporat | 2026-03-04 17:39:02+00:00
This is a classic example of a 'Solution in Search of a Metaphor.'
Strip away the 5,000 words of Fury Road fan fiction and you’re left with a multi-agent wrapper for Claude Code that effectively automates the generation of technical debt. It feels like Yegge is trying to brand 'shoveling tokens into a furnace' as a new paradigm, but the cognitive overhead of learning his proprietary 'lore' just to manage a tmux session of LLMs is a massive net loss in productivity.
We don't need a Wasteland; we need tools that actually improve the signal-to-noise ratio, not industrial-scale noise generators.
by mrprincerawat | 2026-03-04 17:39:13+00:00
every agent framework is competing on how many abstractions they can stack. graphs, crews, nodes, edges, state machines. i just wanted to run an agent that calls my own python functions.

kanly is the opposite of a framework. you write plain python functions. you define an agent with one api call. you trigger runs from webhooks or cron or wherever. the llm loop runs on the server and your tools execute on your machine over websocket.

whatever you want to build you just write the handler functions for it. bug fixer, deploy bot, alert triage at 3am. kanly just runs the loop and calls your code.

the only real design decision was that the llm should never directly execute anything. every tool call goes through a runtime on your machine. cli commands can require human approval before running. credentials never leave your infra.

2k lines of python. mit licensed. works with any openai compatible model.
by bluepeter | 2026-03-04 17:39:48+00:00
Whats at least somewhat humorous is the disclaimer requirement that "[t]he text of the notice shall [be] no smaller than the largest font size of other text appearing on the website on which the chatbot is utilized."

H1 hero font size here we come for disclaimers! (Which don't do anything, per the bill, anyway.) But also is the fancy thought that chatbots only appear on websites.
Monday CEO "If you think about any company, 90% of the context isn't documented"
by kalturnbull | 2026-03-04 17:39:53+00:00
Full quote from the 20VC podcast: "If you think about any company, even Monday itself, 90% of the context is not documented anywhere. Nobody knows it. It's something that kind of floats in the air. What's the idea? What's the strategy? Who's doing what? What's next month? What's next year? How are we going to do it? Why are we doing what we're doing? What's the thought process behind it?"

This is exactly the problem I set out to solve with my app Bother. Let me know what you think, you can try it without an account: https://bother.now
by bessouat40 | 2026-03-04 17:40:28+00:00
Hi HN,

I’ve been working on an open-source project called RAGLight.

The goal is to make it easy to prototype RAG pipelines locally.

Recent feature:
You can now deploy a RAG pipeline as a REST API with one command:

pip install raglight
raglight serve --port 8000

The API is configured entirely via environment variables
(LLM provider, embeddings, vector database).

Currently supports:
- Ollama
- OpenAI
- Mistral
- Gemini
- HuggingFace
- ChromaDB

Repo:
https://github.com/Bessouat40/RAGLight

Doc: https://raglight.mintlify.app/documentation/rest-api
Curious to hear feedback from people building RAG systems.
by the_sleaze_ | 2026-03-04 17:41:04+00:00
> Not just durability, but ergonomics.

Somehow while spending the most per capita of any nation on the planet, American schools are in a perpetual budget crunch. It's about getting internet access not whether the trackpad is good. You think a chromepad is crappy - have you ever tried to do something in Blackboard?

> If schools are found to be neglecting a minimum standard of care

They won't be. Pizza sauce is considered a vegetable.

An aside: Why do school board super-intendants and administration make more money than teachers themselves? I believe they shouldn't.