MurphyA/hacker-news huggingface dataset:
by n8henrie | 2026-02-15 14:48:10+00:00
But you're not having cancer checked out, you're having a "spot" or a "nodule" or something checked out.

And the person that's making the recommendation on whether or not to check it out may get sued for $10M if they tell you it's probably nothing and they're wrong, but have no harm come to them if they tell you it's worth having some other doctor do a biopsy.

And they might make an extra couple hundred bucks every time you have to come back and see them to follow up on this spot.

And the radiologist interpreting the MRIs... the same perverse incentives regarding how they interpret a "spot."
by Bender | 2026-02-15 14:48:40+00:00
This is technically correct but there is no harm in them setting up a mesh in the event that the internet goes down assuming they have their own backup power. The USA and EU are both extremely vulnerable to power grid overload, cyber-attack, physical attack choke-points leading to black-starts, EMP, GRB and much more. I think it's good on them for the learning exercise and hopefully they add to existing documentation.
Show HN: Clawlet – AI agent with built-in semantic memory, one binary
by mosaxiv | 2026-02-15 14:49:15+00:00
Clawlet is a personal AI agent that ships as a single, self-contained binary.
No runtime, no package manager, no external database.

The main thing that sets it apart: built-in hybrid semantic memory search
(vector similarity + full-text) using a bundled SQLite with vector extensions.
The index is just a local .sqlite file — no separate vector DB to run.
Drop the binary on any machine and memory search just works.

GitHub: https://github.com/mosaxiv/clawlet
by wolvoleo | 2026-02-15 14:49:24+00:00
Oh yeah I'm always on prepaid, I don't like contracts/subscriptions so I avoid them even for phones. It's also a great protection against overcharging when roaming etc.

And where I live (in Spain) prepaid is even cheaper than postpaid. I get 240GB per month for 15 euros and basically unlimited calls (which I don't use because all my calls go over whatsapp these days). Even the 10 euro plan is great value (80GB). But sometimes I use my phone as a hotspot so it's nice to have the extra.

Postpaid isn't as good value as that. Probably because the subsidy is factored in, or at least some of it.

We don't really get chargebacks here in Europe, because 99% of people use debit cards and they don't have such a feature.
by sidrag22 | 2026-02-15 14:49:28+00:00
As much as i loved the relation of vibe coding to slots and their related flow states in this article, I also think what you are stating is the exact reason these tools are not the same as slots, the skill gap is there and its massive.

I think there are a ton of people just pulling the lever over and over, instead of stepping back and considering how they should pull the lever. When you step back and consider this, you are for sure going to end up falling deeper into the engineering, architecture realm. Ensuring that continually pulling the lever doesn't result in potential future headaches.

I think a ton of people in this community are struggling with the lose of flow state, and attempting to still somehow enter it through prompting. The game in my view has just changed, its more about just generating the code, and being thoughtful about what comes next, its rapid usage of a junior to design your system, and if you overdue the rapidness the junior will give you headaches.
by mkbkn | 2026-02-15 14:49:32+00:00
This is very smart. Thank you for sharing this.

I am not a developer. Could you explain the process in a bit more detail? I want to build the same command. I only have the $20 subscription for Claude. Do I need to create a project and create a learning profile.md file and feed what I already know? And then what do I do?

Sorry if that's too many questions.
by sinuhe69 | 2026-02-15 14:49:39+00:00
This piece is very sad and it resonates with me, especially after we talked about identity and definition of success. The loss of job (if any) is not as fatal as the loss of one’s social identity. Of course, there is always a way out, a way to see things in a positive light. But I believe right now it’s important to let it sink in, to realize what we have to shed on the way to tomorrow. Most (young) people don’t realize it yet.
by _alternator_ | 2026-02-15 14:50:02+00:00
The major reason not to do this is that you often get worse outcomes for patients. Oncology provides a lot of examples where “more knowledge” does not lead to better outcomes. Routine ovarian cancer screening, prostate screens, childhood neuronlastoma screens, and breast cancer screens all have shown that overuse will identify more cancer, but do not lead to better outcomes like reduced mortality.

The reasons are complex, but the short answer is that cancer treatment is extremely hard on your body, and even if you don’t treat, stress can literally make you sick. I recommend reading The Emperor of all Maladies if you want to really get a sense for how delicate the problem of early screening is.
by lcnPylGDnU4H9OF | 2026-02-15 14:50:04+00:00
> the human version of context collapse, becoming myopic around just what you’re doing in the moment

The setups I've seen use subagents to handle coding and review, separately from each other and from the "parent" agent which is tasked with implementing the thing. The parent agent just hands a task off to a coding agent whose only purpose is to do the task, the review agent reviews and goes back and forth with the coding agent until the review agent is satisfied. Coding agents don't seem likely to suffer from this particular failure mode.
by alexsobolev | 2026-02-15 14:50:05+00:00
What happens when hundreds of AI agents need to coordinate without a central controller?

In this article, I break down how to architect systems where swarms of agents collaborate reliably even when:
- Connectivity is hostile (tunnels, interference, dead zones)
- Bandwidth is scarce and streaming raw sensor data is impossible
- Resilience is non-negotiable and the system must survive node failures

TL;DR
- Run specialized Small Language Models (SLMs) on the edge so devices make local, safe decisions without waiting on the cloud
- Let devices gossip summaries, not raw data, use peer-to-peer overlays for soft state, and reserve consensus only for what must be globally correct
- Use CRDT-backed shared memory tiers so hundreds of agents can drift, sync, and still converge on a consistent world model
by K0balt | 2026-02-15 14:50:23+00:00
Huh. I don’t think in my experience that the term violence is seldom applied to things outside of humans, and IME the terms economic violence and social violence, emotional violence, and many others are common parlance. Perhaps we come from different cultures. At any rate, given the definition I find in several dictionaries I think my point stands. I will concede that coercion, exploitation, or extortion might be better descriptors.
by saxonww | 2026-02-15 14:51:09+00:00
The other code author is a "Dr. Josh C. Simmons" whose GitHub profile leads with "Building AI systems and influence architecture at scale." and "Founder @ Meridian Strategic Systems — Running experiments in cognitive systems, behavioral modeling, and automated influence generation."

So, my guess is that this a prototype of whatever Meridian is going to be doing.
by Our_Benefactors | 2026-02-15 14:51:17+00:00
And I got your cheeky, dismissive attitude which completely misses the forest for the trees.

> In the meantime, programmers will be in demand to fix issues caused by vibe coders.

Yes, I agree. They’ll be lower on the totem pole than the vibe coders, too. Because the best vibe coders have the same skill set as you - years of classical engineering background. So how can one differentiate themself in the new world? I aspire to move up the totem pole, not down, and leaning into AI is the #1 way to do that. Staying a “bug fixer” only is what will push you out of employment.
by Majromax | 2026-02-15 14:51:57+00:00
> Several times in my high school shop class kids shorted out 9V batteries trying to build circuits because they didn't understand how electronics work. At no point did our teacher stop them from doing so

Yes, and that's okay because the classroom is a learning environment. However, LLMs don't learn; a model that releases the magic smoke in this session will be happy to release it all over again next time.

> LLMs are just surfacing the fact that assessing and managing risk is an acquired, difficult-to-learn skill.

Which makes the problem worse, not better. If risk management is a difficult skill, then that means we can't extrapolate from 'easy' demonstrations of said skill to argue that an LLM is generally safe for more sensitive tasks.

Overall, it seems like LLMs have a long tail off failures. Even while their mean or median performance is good, they seem exponentially more likely than a similarly-competent human to advise something like `rm -rf /`. This is a deeply unintuitive behaviour, precisely because our 'human-like' intuition is engaged with resepct to the average/median skill.
by salawat | 2026-02-15 14:52:57+00:00
Using AI to do anything isn't going to liberate one. It's just going to shift the dependence from one company to another. Your new feudal lord will be the people running the Santa Claus machine you're running. Don't keep trying to tell people AI is the solution. The real solution is self-hosting. And that cannot be AI'd half as easily.
by pjmlp | 2026-02-15 14:54:01+00:00
While Microsoft <3 Rust, there are still some quality tooling parity to reach versus Visual Studio abilities for .NET, Python and C++.

Incremental compilation, and linking, parallel builds, hot code reloading, REPL, graphical debugging optimised builds, GPU debugging....

Go is better left for devops stuff like Docker and Kubernetes, and Zig remains to be seen when it becomes industry relevant beyond HN and Reddit forums.
by n8henrie | 2026-02-15 14:54:13+00:00
I can't imagine this taking strong hold in the US unless it shields physicians from legal consequences of false negatives or produces enough false positives to ensure revenue doesn't fall.

I don't see any way that the hospital systems running healthcare in the US would embrace a technology that reduces false positives (income) without decreasing false negatives (risk and lost income) at least as much.
by htrp | 2026-02-15 14:54:16+00:00
i think google meet duo is fonally being deprecated in favor of another solution

https://support.google.com/meet/answer/15226472?hl=en

Google Duo was upgraded and rebranded to Google Meet in 2022. However, the legacy calling experience (previously known as Duo) was still available. Now, these legacy calls are being upgraded to Meet calls, which contain expanded features like cloud encryption, live captions, in-call chat, stackable effects, and more. To use the new Meet calling experience, update your app to the latest version. As users move over to Meet calling, some of the legacy calling features will no longer be available. In addition, any reference to what was formerly known as Duo will now show “legacy.” From September 2025, legacy calling will be replaced with Meet calling.
by okanat | 2026-02-15 14:54:45+00:00
I think providing purely-functional libraries as system dependencies that's tied to the whole tool chain at the time was the wrong decision by the Unix world.

The system libraries should only ship system stuff: interaction with the OS (I/O, graphics basics, process management), accessing network (DNS, IP and TLS). They should have stable APIs and ABIs.

Windows isn't hostile. It has a differnt paradigm and Unix (or more correctly usually GNU/Linux) people do not want to give up their worldview.

PCRE is basically only your apps's dependency. It has nothing else to do the rest of the operating system. So it is your responsibility to know how to build and package it.
by alejohausner | 2026-02-15 14:55:03+00:00
The backlash against the use of Ring cameras began with their tone-deaf superbowl ad. Amazon assumed that customers would buy their surveillance technology. The whole thing reminds me that we have returned to the Gilded Age, when the rich people who run the world strutted about arrogantly, without fear of shame or public disapproval. It’s as if Bezos is telling us “you have no choice. You will buy our product whether you like it or not.”

Will another Progressive Era bring about more equality, or are the billionaires too entrenched?
by wolvoleo | 2026-02-15 14:55:09+00:00
I don't really see the misogyny here. The OP was talking about 'robotic catgirls', which I would take as a joke about sex robots under a more frivolous description. Saying: "at least we'll get some fun out of AI before they come to kill us".

AI/Robots are not really bound to traditional gender concepts, and I read your reply as more of a thing about slavery rather than misogyny. But I wouldn't consider robots self-aware either. The joke seems to me about the stereotypes around robots in scifi pop culture, in almost every movie they are either coming to kill us or serving as sex dolls (or both).

PS: I'm part of the LGBT+ community and I hate ultraconservative and nazi values (and by American standards I would definitely be in the 'marxist' corner) but I honestly don't see any bad here.
by vmirnv | 2026-02-15 14:55:13+00:00
True, but we believe that with the introduction of GGUF to WebGPU, we’ve solved the chicken-egg problem (we tried WebGPU ONNX models before with transformers.js from HG with ~50× fewer model choices). GGUF community is more mature, with a better choice of models quantizations as well.

Also, with better consumer hardware, smarter small models (up to 4B), and better WebGPU engines and competition between them (MDST Engine is still in a very early stage, with little optimization, no flash-attention yet, etc.), we think this technology will grow super fast in 2026 for a less tech-savvy market (which we believe is good for open-weight models).
by AnthonyMouse | 2026-02-15 14:55:22+00:00
That's the only way it can be in a system with thousands of crimes on the books.

People commit minor offenses, and often felonies without knowing it, on a regular basis. If surveillance was consistently used to actually enforce the laws, people would a) notice the surveillance[0] and then actually object to it and b) start objecting to all the ridiculous and poorly drafted laws they didn't even know existed.

But they don't want the majority of people objecting to things. They want a system that provides a thousand pretexts to punish anyone who does something they don't like, even something they're supposed to have a right to do, by charging them with any of the laws that everybody violates all the time and having the surveillance apparatus in place so they can do it to anyone as long as it's not done to everyone. That doesn't work if the laws are enforced consistently and the majority thereby starts insisting that they be reasonable.

[0] https://www.youtube.com/watch?v=G1zhe85spsw
by sublinear | 2026-02-15 14:55:32+00:00
I almost agree with you, but with regard to this specific blog I'm not sure I can.

From my perspective, all this energy spent on AI prompting is actually just planning meetings and whiteboarding in disguise, but since all that has the bad reputation of luring devs into power struggles and yak shaving this is the new way.

It's likely where most of their improved productivity is coming from. The people doing the meta-work just need be mature about it to avoid procrastinating.
by diagscan | 2026-02-15 14:56:07+00:00
Hi all,

I built AI DiagScan at https://pythoncyber.go.ro
— a simple web tool that uses AI to help decode and explain OBD2/Check Engine codes from cars.

What it does

Quick error code lookup — enter a standard OBD2 fault code and get a plain-language explanation of the problem.

Full report upload — upload a complete diagnostic log (PDF) to get a more contextual analysis.

Dashboard photo analysis — upload a photo of your dash warning lights and let the AI interpret it.

The front-end is simple and mobile-friendly, and the core goal is to help DIYers and mechanics save time understanding what their car’s ECU is trying to tell them.
by hnlmorg | 2026-02-15 14:56:23+00:00
> It's a thing that confuses every single person the first time they touch a terminal!

I get that. But it doesn’t mean those that prefer the terminal have Stockholm Syndrome.

The terminal is a UI optimised for keyboard entry. So of course mouse input to move the caret wouldn’t be something that is prioritised to support.

Again, that’s not Stockholm Syndrome; it’s just a different workflow.

> Could do without the diction-based ad hominem.

You’re the one making ad hominem attacks by saying CLI users suffer from “Stockholm Syndrome”. That was your comment not mine.

I said I was willing to take your comment in good faith. Which isn’t a personal attack.

I’m really not interesting in meta arguments nor using intentionally antagonistic language. And if you continue to communicate this way then I will just ignore you.
by aspenmartin | 2026-02-15 14:56:50+00:00
It's shocking to me that people make this claim as if humans, especially in some legacy accounting system, would somehow be much better at (1) recognizing their mistakes, and (2) even when they don't, not fudge-fingering their implementation. Like the criticisms of agents are valid, but the incredulity that they will ever be used in production or high risk systems to me is just as incredible. Of course they will -- where is Opus 4.6 compared to Sonnet 4? We've hit an inflection point where replacing hand coding with an agent and interacting only via prompt is not only doable, highly skilled people are already routinely doing it. Companies are already _requiring_ that people do it. We will then hit an inflection point at some time soon where the incredulity at using agents even in the highest stakes application will age really really poorly. Let's see!
by worldsavior | 2026-02-15 14:57:48+00:00
Because coding is dead. Coding models are very good for most tasks. If you're building a new kernel then AI will probably only help partially, but for most coders out there, AI just replaces them, or at least makes 1 coder like 5 coders.

The high-tech bubble is going to burst, and only the best will be in it.

For what will happen next, no one knows. My guess is: more people will drift away from technology seeking for human contact as AI internet control is escalating; Dead internet theory will become fully true; The internet addicts will become more addicted and the less addicted will become less. Obviously, it's just a guess, and probably a wrong one statistically, but it's not even the worst case.

So you ask why everyone are so AI-hyped? Because for many, coding is their job, and it's taking their job now.
by thih9 | 2026-02-15 14:57:50+00:00
What is this project? I'm assuming Kimi.com offers a paid LLM API and Kimi Claw is a way to query the API from another server to let the API access other tools and platforms; is that correct?

Also, what is the pricing of Kimi.com? Edit, self answer: https://www.kimi.com/membership/pricing
by techjamie | 2026-02-15 14:58:01+00:00
I have two older coworkers in my workplace alone that had criminals make fraudulent unemployment claims in their names. Fortunately they noticed and stopped it quickly. Undoubtedly the information used came from data leaks.

Now all these sites are implementing face scans, which would be perfect for such criminals to harvest and use AI to create fake videos of you saying anything that suits them.

At what point does legislation step in, here? Because so far, it's only moved in the direction that worsens the issue.
by ndtimes | 2026-02-15 14:58:20+00:00
marketing people did have a tendency to be more bombastic and self aggrandizing than average, speaking pompous but devoid of meaning shit but normal people most definitely not speak like this:

> The build.bat above isn’t just a helper script; it’s a declaration of independence from the Visual Studio Installer

this is 100% GPT slop, you can even tell it's GPT specifically from the fact that it has a ; instead of — because the recent models were trained to use the emdash less and put a semicolon in the same places it used to throw emdashes in the past.

GPT-4o would have done

>The build.bat above isn’t just a helper script—it’s a declaration of independence from the Visual Studio Installer

>you know why LLMs repeat those patterns so much

Unlike you, I do know why LLMs can fall into repeating certain patterns and it most definitely has nothing to do with "how humans speak". The better the model (as a tool) the more it has been trained on artificially generated data that teaches it the "proper" way to do tasks. Instruction tuned models have nothing to do with the original release of GPT-3, they were their own thing ever since the release of chatGPT itself.

You can control what sort of patterns it falls into and this is why if you had any ability to notice things as a human being you would have seen how newer GPT generated content has less emdash spam even when the human generating the content doesn't bother touching up the text.
by Someone1234 | 2026-02-15 14:58:26+00:00
I don't follow that.

OpenClaw sits on top of a physical machine/VM you control, you give it (hopefully) limited/sandbox access to that machine's resources to act like-you, and it does useful things. OpenClaw's user interface is just a gateway, and is only as useful as whatever the machine/VM has under the hood.

So the "setting it up yourself [on a VM/machine you control]" is kind of core to the whole idea being useful, you take that away, and it is just another Chat-Bot? Making it more of an ChatGPT/et al competitor rather than OpenClaw.
by Voice_of_Void | 2026-02-15 14:58:42+00:00
We just published the technical specification (v0.1.1) for the APDI/SEP security architecture for agentic systems.

Recent attacks (like ZombieAgent) demonstrate that current agent implementations give LLMs direct access to syscalls and the network. Since LLMs are inherently susceptible to indirect prompt injection, parsing poisoned web content can lead to zero-click exfiltration or worm-like infection.

We propose a protocol that eliminates "in-band" command execution. Instead of direct function calling, the agent formulates a canonical intent object (JSON) that passes through a strict 4-layer perimeter:

Semantic Airlock (deterministic intent parsing/normalization).

Validation Layer (RBAC-like declarative Capabilities).

Execution Service (ephemeral sandboxes via Linux namespaces/Firecracker, seccomp, proxy-mediation).

Response Validation (AST sanitization to prevent tool reflection).

A key feature is "Separation of Powers". We decouple cognitive control (protected by KDA cryptographic directives) from execution policies. The document includes a detailed Attack Surface Priority Map, where we honestly acknowledge the Semantic Airlock as the most vulnerable probabilistic node in the chain.

We'd love technical feedback and critique:
https://singularityforge.space/2026/02/15/apdi-sep-security-...