MurphyA/hacker-news huggingface dataset:
by laramie_co | 2026-02-20 10:41:28+00:00
Hey HN — maker here.

Quick context on why I built this: I was personally spending ~$1,200/month on Claude API (I use it for everything — coding, writing, analysis). That’s $14,400/year. Even if I dropped to a single $20/month sub, every query I send tells Anthropic what I’m working on, what I’m thinking about, what problems I have.

I wanted Claude-quality inference without the cloud dependency. That’s not possible yet for large models, but what IS possible locally is surprisingly good.

What’s actually on it:

- 15 chat models — Qwen3-235B-A22B (MoE, fast on consumer hardware), LLaMA 3.3 70B Q4, DeepSeek-R1 32B, Gemma 3 27B, Phi-4
- 14 vision models — drag in an image, get analysis locally. No upload to any server.
- 5 coding assistants — Qwen2.5-Coder 32B is genuinely impressive for local inference
- 3 image generators via ComfyUI — FLUX.1-schnell, Z-Image-Turbo, Qwen-Image. This is the part I haven’t seen anyone else ship as plug-and-play. Most local image gen setups require 30 min of dependency hell.
- RAG/knowledgebase via Qdrant — drop in PDFs, docs, notes; semantic search across them locally
- Medical AI (MedGemma), uncensored models (Dolphin, Nous-Hermes, Abliterated variants)

The target user: Anyone paying $200+/month across Claude, ChatGPT, Midjourney, GitHub Copilot, Perplexity. That’s $2,400/year with zero privacy. The Core tier ($399) pays for itself in 2 months if you cancel just one sub.

Stack: Tauri + Rust + React frontend. Ollama for inference. Qdrant for vector search. ComfyUI for image gen. Everything runs from the SSD — unplug and zero trace on the host machine.

Why not just software? Three reasons:
1. Downloading all of this takes 6-8 hours and 300+ GB — we pre-load
2. It’s portable between machines (home Mac, work PC, travel laptop)
3. Zero install, zero config — double-click and it works

Honest limitations:
- 8GB RAM minimum, 16GB recommended for the larger models
- Not a GPU box — these are quantized models optimized for CPU/unified memory
- Not a replacement for frontier models (GPT-4, Claude Opus) for the hardest tasks
- First batch is 25 units. This is validation.

Tiers:
- Core: 20 models, 256GB — $399
- Pro: 34 models, 512GB — $599
- Ultra: 42 models, 1TB — $899

Happy to answer architecture questions, model quantization tradeoffs, or anything else.
by Argonaut998 | 2026-02-20 10:41:48+00:00
[1] https://www.theguardian.com/society/2020/feb/14/transgender-...

[2] https://www.judiciary.uk/wp-content/uploads/2020/12/Scottow-...

”Margaret Dodd of one offence of improper use of a public communications network,
contrary to section 127(2)(c) of the Communications Act 2003. This provides that a
person commits an offence if “for the purpose of causing annoyance, inconvenience or
needless anxiety to another [she] … persistently makes use of a public electronic
network”.”

[3] https://www.theguardian.com/uk-news/2025/dec/23/uk-police-le...

Regarding Graham Linehan who is by far the best example.
by Folcon | 2026-02-20 10:41:54+00:00
You're basically describing the Random Model by Greg Stolze[0]

Basically someone creates a work and puts a price on it and then like with Kickstarter asks people to fund it, however after it's funded it becomes public and is released into the public domain

-[0]: unfortunately I can't find the original article, but this covers gist of it https://caffeineforge.com/2012/11/26/the-ransom-model/
by LoganDark | 2026-02-20 10:41:55+00:00
Much of the space of artificial intelligence is based on a goal of a general reasoning machine comparable to the reasoning of a human. There are many subfields that are less concerned with this, but in practice, artificial intelligence is perceived to have that goal.

I am sure the output of current frontier models is convincing enough to outperform the appearance of humans to some. There is still an ongoing outcry from when GPT-4o was discontinued from users who had built a romantic relationship with their access to it. However I am not convinced that language models have actually reached the reliability of human reasoning.

Even a dumb person can be consistent in their beliefs, and apply them consistently. Language models strictly cannot. You can prompt them to maintain consistency according to some instructions, but you never quite have any guarantee. You have far less of a guarantee than you could have instead with a human with those beliefs, or even a human with those instructions.

I don't have citations for the objective reliability of human reasoning. There are statistics about unreliability of human reasoning, and also statistics about unreliability of language models that far exceed them. But those are both subjective in many cases, and success or failure rates are actually no indication of reliability whatsoever anyway.

On top of that, every human is different, so it's difficult to make general statements. I only know from my work circles and friend circles that most of the people I keep around outperform language models in consistency and reliability. Of course that doesn't mean every human or even most humans meet that bar, but it does mean human-level reasoning includes them, which raises the bar that models would have to meet. (I can't quantify this, though.)

There is a saying about fully autonomous self driving vehicles that goes a little something like: they don't just have to outperform the worst drivers; they have to outperform the best drivers, for it to be worth it. Many fully autonomous crashes are because the autonomous system screwed up in a way that a human would not. An autonomous system typically lacks the creativity and ingenuity of a human driver.

Though they can already be more reliable in some situations, we're still far from a world where autonomous driving can take liability for collisions, and that's because they're not nearly as reliable or intelligent enough to entirely displace the need for human attention and intervention. I believe Waymo is the closest we've gotten and even they have remote safety operators.
by patal | 2026-02-20 10:42:24+00:00
The very first sentence is: "Hi, here’s the bot-in-chief, Aga, with a little foreword."

Am I to understand that Aga is an AI bot? I see nothing mentioned about this in the FAQs or the webpage. Makes me wonder if this zine may be written by AI agents reproducing the old hacker magazine aesthetic.

Or is "bot-in-chief" some kind of tongue-in-cheek formulation that I can find nothing about online? Aga is listed as "Editor-in-Chief" on the About page.
by adrian_b | 2026-02-20 10:42:46+00:00
The shoulder problem was similar for me.

For many years I have used very cheap Microsoft ergonomic keyboards (discontinued some years ago), which were already much better for the position of the arms than standard keyboards.

Then I switched to a truly split keyboard, which is even better.

I have also switched to Dvorak a few years ago. A couple of months were needed until recovering and then exceeding the previous typing speed, but it was worthwhile, because the comfort of typing has greatly improved. Now I regret that I have not done this earlier.
by michaelscott | 2026-02-20 10:43:16+00:00
Nothing you've said about reasoning here is exclusive to LLMs. Human reasoning is also never guaranteed to be deterministic, excluding most correct solutions. As OP says, they may not be reasoning under the hood but if the effect is the same as a tool, does it matter?

I'm not sure if I'm up to date on the latest diffusion work, but I'm genuinely curious how you see them potentially making LLMs more deterministic? These models usually work by sampling too, and it seems like the transformer architecture is better suited to longer context problems than diffusion
by bluebarbet | 2026-02-20 10:43:58+00:00
Another bad experience with OVH here. In fact not bad but catastrophic. They enabled 2FA without my consent and then demanded a signed letter on paper by post to let me back into my account. Their online customer service was beyond useless and the nightmare took weeks to resolve. This after I had been a loyal customer for years. Just when I was preparing to punish them by moving, my VPS went up in smoke at that fire in their Strasbourg datacenter. "Oops, our bad", went the email. Beyond parody. It's almost a surprise to me that this company is still in business.

With Hetzner now for several years without incident.
by bahmboo | 2026-02-20 10:44:11+00:00
It is all not important and I'm moving on as I'm sure you are as well. I assume good faith so I'm thinking we talked past each other a bit plus I was grouchy at one point (I apologize).

Here's the nut from the relevant comment: "There's no way to say this without sounding mean: Everything Chris Lattner has done has been a "successful mess". He's obviously smart, but a horrible engineer. No one should allow him to design anything."

I can't support a take like this (the commenter's, not yours) it is not helpful or informative. That original comment was edited too, or added onto. On the face of it, the sentiment that Swift and Mojo and LLVM are these awful abominations is beyond the pale for me from an engineering standpoint. I think there are some FOSS feelings in play that stir up strongly held ideologies.
by kjksf | 2026-02-20 10:44:28+00:00
It would be useful if you provided the context.

CBS was given rights, from US gov, for free, to broadcast their programming in airways (which are limited resources hence you need gov to manage access to it).

To get that they had to agree to Equal Opportunities/Equal Time Rule (Section 315 of the Communications Act). Basically give politicians from different parties equal time on airways.

That seems like the right rule. It's also a rule that has not been enforced. I can only find cases of denying complains in 2006, 1996.

Maybe leftist government were not interested in suing leftist news network for promoting leftist politicians. Or maybe I'm paranoid.

Anyhoo, CBS taped an interview with leftist politician. FCC chair reminded them that Section 315 exists and that they'll be on the hook to provide equal time to a non-leftist politician.

I don't know decision making process at CBS but they decided to not air interview on public airways and instead posted it on YouTube, which is not governed by Section 315 because they don't use public airways.

So what exactly do you object to?

The existence of Section 315? Take it up with politicians.

That FCC enforces the rule? It's their purpose. Their raison d'etre.

You don't believe interview with a politician triggers Section 315? State your case.

You don't like that CBS decided to put interview on YouTube to avoid triggering the obligation to also give airtime to another politician? Take it up with CBS.
by snayan | 2026-02-20 10:45:06+00:00
There's a difference in intention between ex-pat and immigrant. Ex-pat's tend to think of themselves as being wherever they are temporarily, but intending to return to their home country. Immigrants desire is to make wherever they are their new home country.

If you're saying that people who have permanently left the US call themselves ex-pats, that is news to me, and I can understand the confusion.
by ivan_gammel | 2026-02-20 10:45:50+00:00
In this war strategic victory is not the destruction of the state, but the control over development trajectory of the rival for the foreseeable future. Russian objective is and was not to annex entire Ukraine, but to ensure that it does not become menacing part of NATO infrastructure (they are surprisingly content with Ukraine joining EU). This is political goal and thus can be pursued through hybrid warfare, which includes psychological pressure on Ukrainian population, to ensure that current administration will loose political support and will be pressured into a peace deal on terms favorable for Russia. Ukraine does the same to achieve the opposite goal, but of course with much less success.

The whole story with territorial question is part of this: possible peace settlement could include just splitting Donbas region on the current front line, so that Putin could claim victory and Ukraine could just say they did what they could. But Russia wants more, they need Donbas in original borders, which is unacceptable to Ukraine. Why? Because if this question will be settled in the peace deal, it may open Ukraine eventually path to NATO. They want to create permanent tension the same way as it happened to Georgia, deferring the final settlement by a hundred years (see Taiwan as an example, which occupies China for decades).
Show HN: Forked – a local time-travel debugger for OpenClaw agents
by TedOS | 2026-02-20 10:47:20+00:00
I built Forked because debugging OpenClaw agent failures was too opaque: lots of logs, hard to reproduce, and no clear way to inspect where behaviour diverged.

Forked is a time-travel debugger for OpenClaw that records agent execution and lets you inspect, fork, and rewind runs.

What it captures:

- LLM inputs/outputs (including token usage when available)
- tool calls/results
- message flow
- file-modifying actions (with snapshots)
- lifecycle/config/setup-file changes

What you can do:

- inspect a full timeline of a run
- fork from a decision point, modify payload, replay
- rewind file state to a prior snapshot-backed point, then branch from there

Architecture is simple/local:

OpenClaw tracer plugin -> WebSocket
local daemon (Node + SQLite)
local UI (React)

Privacy model:

MIT licensed
local-first (127.0.0.1)
no cloud dependency, no telemetry required
Repo: https://github.com/MurbotLabs/Forked

This is v1. I’d really value feedback on:

- Missing debugging workflows
- Pain points in fork/rewind UX
- What would make this essential in daily OpenClaw dev loops
by kypro | 2026-02-20 10:48:05+00:00
No blame. For better or worse I just think this is going to be the reality of interacting online in the near future. I imagine in the future stories like this will be extremely common.

I could set up an OpenClaw right now to do some digging into you, try to identify you and your worse secrets, then ask it to write up a public hit piece. And you could be angry at me for doing this, but that isn't going to prevent it happening.

And to add to what I said, I suspect you'll want to be thinking about this anyway because in the future it's likely employers will use AI to research you and try to find out any compromising info being giving you a job (similar to how they might search your name in the past). It's going to be increasingly important that you literally never post content that can be linked back to you as an individual even if it feels innocent in isolation. Over time you will build up an attack surface which AI agents can exploit much easier than has ever been possible by a human looking you up on Google in the past.
by Tade0 | 2026-02-20 10:48:16+00:00
> I can tell from this statement that you don't have experience with claude-code.

I happen to use it on a daily basis. 4.6-opus-high to be specific.

The other day it surmised from (I assume) the contents of my clipboard that I want to do A, while I really wanted to B, it's just that A was a more typical use case. Or actually: hardly anyone ever does B, as it's a weird thing to do, but I needed to do it anyway.

> but it is indistinguishable from actual reasoning

I can distinguish it pretty well when it makes mistakes someone who actually read the code and understood it wouldn't make.

Mind you: it's great at presenting someone else's knowledge and it was trained on a vast library of it, but it clearly doesn't think itself.
by stackbutterflow | 2026-02-20 10:48:51+00:00
> Also, why do you assume that such product would need to be used worldwide all of a sudden

Because I'm talking about not running on any American services. Which Americans can do and do all the time. I don't see how we can reach a point where we can one day not include google/apple sign in and not lose a massive number of potential users. Sure it's possible that one day we'll see a "Sign in with EU login" but below it they're always be sign in with google/apple, for a very long time.
by aa-jv | 2026-02-20 10:48:56+00:00
Great post, and interesting setup - harkens to days of old, when this was simply how things were done in the first place - but one question that I have, apropos:

>.. serve more than 10k - 100k requests/second which is good enough to serve a million customers.

What is your network connectivity like for this setup? Presumably you operate in a building capable of giving you fiber, with a fixed IP, or something like that?
by autoexec | 2026-02-20 10:49:15+00:00
> No, you do have to choose because money for education (or anything) isn’t unlimited.

The US is the richest nation on Earth. It can easily afford to educate its people. If you really think we'd need to find new sources of tax dollars to fund that, I have a whole lot of suggestions for where to start and I'd bet that you can easily think of a few low hanging fruit yourself.

> There’s a real question of how many resources and what kind of ROI you’d get from trying to educate that bottom 20% to the same level.

The ROI is massive. As I've said elsewhere, uneducated children become uneducated adults. Adults who vote. Adults who, if they lack the education needed to live successful lives, end up costing society in many ways over far more years than they spend in school.

I don't know about you, but I want to live and work with people who are educated and literate. If I were looking to move to another country for work, I'd want to move somewhere where the people were educated and literate. Especially if those people were going to be my boss, or my neighbor, or handling my food, or in charge of my visa application. Having a well educated population is pure win. The cost of ignorance and a lack of the kinds of skills a good school teaches is staggering.
by speedgoose | 2026-02-20 10:49:56+00:00
Not everything in life is about being more productive.

I think it’s worth learning vim, or emacs shortcuts, as an intellectual exercise.

I still save time by editing little code thanks to vim, or vim mode in my ide. And it doesn’t take that long to know the basics. Is it worth it in terms of seconds saved over a career? Perhaps not anymore.
by 1e1a | 2026-02-20 10:50:07+00:00
On my M4 14-inch MacBook Pro, it looks like there are two accelerometers: One with {"DeviceUsagePage"=0xff00,"DeviceUsage"=3}, and one with {"DeviceUsagePage"=0xff00,"DeviceUsage"=9} - They both identify as Bosch BMI286
by mort96 | 2026-02-20 10:50:32+00:00
This sounds like a nice theoretical benefit to a theoretical RAII system (or even a practical benefit to RAII in Rust), but in C++, I encounter no end of bugs related to uninitialized or partially initialized objects. All primitive types have a no-op constructor, so objects of those types are uninitialized by default. Structs containing members of primitive types can be in partially initialized states where some members are uninitialized because of a missing '= 0'.

It's not uncommon that I encounter a bug when running some code on new hardware or a new architecture or a new compiler for the first time because the code assumed that an integer member of a class would be 0 right after initialization and that happened to be true before. ASan helps here, but it's not trivial to run in all embedded contexts (and it's completely out of the question on MCUs).
by irthomasthomas | 2026-02-20 10:51:22+00:00
You're hitting on something really important that barely gets discussed. For instance, notice how opus 4.5's speed essentially doubled, bringing it right in line with the speed of sonnet 4.5? (sonnet 4.6 got a speed bump too, though closer to 25%).

It was the very first thing I noticed: it looks suspiciously like they just rebranded sonnet as opus and raised the price.

I don't know why more people aren't talking about this. Even on X, where the owner directly competes in this market, it's rarely brought up. I strongly suspect there is a sort of tacit collusion between competitors in
this space. They all share a strong motivation to kill any deep discussion of token economics, even about each other because transparency only arms the customers.
By keeping the underlying mechanics nebulous, they can all justify higher prices. Just look at the subscription tiers: every single major player has settled on the exact same pricing model, a $20 floor and a $200 cap, no exceptions.
by weego | 2026-02-20 10:51:23+00:00
And not this or any existing generation of people. We're bad a determining want vs need, being specific, genericizing our goals into a conceptual framework of existing patterns and documenting & explaining things in a way that gets to a solid goal.

The idea that the entire top down processes of a business can be typed into an AI model and out comes a result is again, a specific type of tech person ideology that sees the idea of humanity as an unfortunate annoyance in the process of delivering a business. The rest of the world see's it the other way round.
by ffsm8 | 2026-02-20 10:51:25+00:00
MinIO was a previously open source blob store. It's very old, it was basically created right around the time S3 took off.

You should probably reconsider going with it in 2026 unless you're fine with their new (non -opensource) offering. It still has a "free" license, so it might still be an option depending on your priorities.

But there are alternatives around, some being arguably much easier to run/maintain for small deployments like this.
by arjunbajaj | 2026-02-20 10:52:14+00:00
The core issue is the user/developer experience of Industrial IoT is nowhere near where it should be. I understand where you're coming from, and I feel the same way too. Building a great developer experience is something we deeply care about. Exactly for that reason, we started building our own Device SDKs.

We also have support for open protocols such as MQTT and HTTP+SSE, but the Device SDKs enable us to provide a richer set of capabilities. Our SDKs actually speak a custom protocol we developed for higher efficiency. We're also going to add many more features such as automatic telemetry collection and tracing support, which is more feasible with a plug-and-play SDK.

Another big issue you pointed out is with documentation, a key part of Developer Experience is always great docs. A compelling model might be standalone open source tooling that works independently, with an integrated platform that ties it all together, creating a strong ecosystem.

I've been using Home Assistant with a bunch of Zigbee and Wifi devices at home, and it's been pretty stable. However, for an industrial context, there are already many other hurdles, having a platform handle a lot of the cloud infra and connectivity & monitoring is really helpful.
by latexr | 2026-02-20 10:53:22+00:00
> Do you care where each bristle lands? No of course not.

Of course you do, that’s why there are so many different types and sizes of paintbrushes, so you can exert exactly as much fine control as you want/need. Learning the craft is to learn to pick and use your tools to get the desired result. Being unable to microscopically predict where each bristle lands is not the same as not wanting to. Some times you’ll pick a more haphazard brush because the small amount of randomness is a feature (e.g. when emulating nature) and other times you’ll use a fine grained tool, maybe even a toothpick instead of a brush because you need it to be precise.
by ai_tools_daily | 2026-02-20 10:53:44+00:00
That's a fair point. I think the distinction is between software that follows deterministic rules (your 2-week-delay scenario) vs agents that make autonomous decisions based on learned patterns. With traditional software, intent is clear and traceable. With AI agents, the operator may genuinely not know what the agent will do in novel situations. Doesn't absolve responsibility — but it does make the liability chain more complex. We probably need new frameworks that account for this, similar to how product liability evolved for physical goods.