MurphyA/hacker-news huggingface dataset:
by com2kid | 2025-11-03 17:11:30+00:00
My local QFC (Kroger), for all the complaints I have about it, has a pretty darn good cheese selection.

So does my local co-op that I can walk to.

Or the other bougie store less than a mile away from me.

Within a 1 mile radius I probably have over 200 varieties of cheese to choose from!
by jauntywundrkind | 2025-11-03 17:11:42+00:00
I remember back when Nvidia was aiming to aquire ARM, there was a whole thread of discourse that I think even Huang himself had spoken to, about how the acquisition would transform Nvidia, would remake who they are and what they do. ARM themselves have rarely been an exemplary citizen, with driver support for their GPUs for example having only gotten respectable in the past couple years. But ARM was still a multi-lareral company. It would have been a different NV: Nvidia as head of an ecosystem, a steward for many, versus what Nvidia has been, Nvidia as a moat keeper with only their bespoke Linux4Tegra (L4T) for example. That was going to be the big change.

Qualcomm certainly seems to be saying that they want to be a different company. That they want market-share among people building products. The example elsewhere of the e-scooters using RPi's seems like the market space Qualcomm is striving to open up.

Your middle paragraphs capture a lot of the sentiment. Qualcomm is a hard company to trust. There have been a lot of neat weird interesting things that have gotten mainlined, and it's cool to see, but most products are incredibly hard to develop for, push you into vendor Board Support Packages, and don't have docs available. This chip similarly lacks technical docs.

But it sure is exciting to think maybe Qualcomm might actually want embedded market share beyond the high end of phones, routers, and laptops. And if they do want this market share, they're going to have to change.
by CaioFer | 2025-11-03 17:11:54+00:00
Email: c410.f3r (at) gmail.com Location: Brazil Remote: Yes Résumé/CV: https://c410-f3r.github.io/curriculum.pdf Technologies: AI, Blockchain, C, C++, Cryptography, Docker, Svelte, GCP, Go, Kubernetes, Node, PostgreSQL, React, Rust, ZK Willing to relocate: No

Hello! I am a software engineer with a Bachelor's degree in Computer Science, more than 10 years of experience and 10 professional certifications earned after a lot of study and hard work.

Up to anything, be it backend, frontend, blockchain, compilers, DevOps, embedded or mobile. Bonus point if there is a little bit of Rust involved.

If you are curious my greatest project is WTX, a fast WebSocket framework and Database client that gave me a lot of insights about performance and code architecture. See https://github.com/c410-f3r/wtx.

For more information, take a look at my CV (https://c410-f3r.github.io/curriculum.pdf).
by maayan-crux | 2025-11-03 17:11:59+00:00
Crux | cruxclimate.com | FULLY REMOTE (US/Canada)| Full-time | Hiring across eng, Product, Design | $140k-$250k base + equity Series B (a16z backed) Crux is the capital markets platform changing the way clean energy and manufacturing projects are financed in the U.S. Crux's platform, market intelligence, and expert team help developers and manufacturers unlock financing through all stages of project development and operation.

Hiring for: - AI Engineers - Full Stack Engineers - Product Designer - Product Manager - Sr. Tech Recruiter - Additional GTM/Ops

More about the team here: https://www.notion.so/Engineering-Crux-26cd41408c6780728eafd...

Apply Here: https://jobs.ashbyhq.com/cruxclimate?utm_source=mr
by hnuser123456 | 2025-11-03 17:12:13+00:00
To be sure, a lot of this can be blamed on using AI studio to ask a small model a factual question. It's the raw LLM output of a highly compressed model, it's not meant to be everyday user facing like the default Gemini models, and doesn't have the same web search and fact checking behind the scenes.

On the other hand, training a small model to hallucinate less would be a significant development. Perhaps with post-training fine-tuning, after getting a sense of what depth of factual knowledge the model has actually absorbed, adding a chunk of training samples with a question that goes beyond the model's fact knowledge limitations, and the model responding "Sorry, I'm a small language model and that question is out of my depth." I know we all hate refusals but surely there's room to improve them.
by jcalvinowens | 2025-11-03 17:12:22+00:00
I wrote a silly little testcase: https://gist.github.com/jcalvinowens/06530e6fc86f3b2c97a7027...

...but both affected znver5 machines I have "pass", so clearly there's more to it than AMD is telling us.

You should be able to get away with "-march=znver5 -mno-rdrnd -mno-rdseed" in CFLAGS if you care.
by chimeracoder | 2025-11-03 17:12:30+00:00
LLMs have serious problems with accuracy, so this story is entirety believable - we've all seen LLMs fabricate far more outlandish stuff.

Unfortunately, it's also worth pointing out that neither Marsha Blackburn nor Robby Starbuck are reliable narrators historically; nor are they even impartial actors in this particular story.

Blackburn has a long history of fighting to regulate Internet speech in order to force them to push ideological content (her words, not mine), so it's not surprising to see that this story originated as part of an unrelated lawsuit over First Amendment rights on the Internet and that Blackburn's response to it is to call for it all to be shut down until it can be regulated according to her partisan agenda (again, her words, not mine) - something which she has already pushed for via legislation that she has coauthored.
by k_kelly | 2025-11-03 17:13:13+00:00
Glitch | Product Engineer | Ireland & Remote (EMEA preferred) | glitchads.ai

Glitch is building the AI agent for Advertising

Glitch let's Businesses create Ad Campaigns in 5 minutes (Down from 5 days) that perform 5 times better than traditional agencies. Our AI makes high performing ads available to everyone.

We need Engineers who want to tackle hard problems like treating the real world as context for LLMs, understanding markets in a few seconds, and dealing with the complex ML algorithms that underlie digital advertising.

We are a team of 8 and a mix of Startup Hustlers and ex-Google Ads Engineers. We've raised Seed and are doubling our customer base every quarter.

We love python, react, tailwind, OpenAI, Google Cloud, and Claude Code. The ideal candidate is running 10-15 instances of Claude Code at once.

Email me @ kingsley @ glitchads.ai
by lelanthran | 2025-11-03 17:13:13+00:00
> The purpose of rewriting it is not to change the license.

I didn't say it was.

> The purpose of rewriting it is to provide a modernized alternative with some benefits from the choice of language

I did not contend that either.

> and the choice of license is incidental.

This I disagree with - the license choice is not incidental; it is foundational to gain popularity in a hurry, to gain widespread adoption at corporates.

The rewriter's intentions is to gain popularity over the incumbent software; using a pro-user license does not gain popularity for all those pro-business use-cases.

The license switch from pro-user to pro-business is not incidental. It's deliberate, and it's too achieve the stated goal of replacing the existing software.

This is one place where I feel that the ends do not justify the means.
by photochemsyn | 2025-11-03 17:13:15+00:00
Some hand-written (not AI-generated) prompts to consider:

"An expert in university-level linear algebra, including solving systems of equations, matrices, determinants, eigenvalues and eigenvectors, symmetry calculations, etc. - is asked the following question by a student: "This is all great, professor, and linearity is also at the heart of calculus, eg the derivative as a linear transformation, but I would now like you to explain what distinguishes linear from non-linear algebra."

"What kind of trouble can the student of physics and engineering and computation get into if they start assuming that their linear models are exact representations of reality?"

"A student new to the machine learning field states confidently, 'machine learning is based on linear models' - but is that statement correct in general? Where do these models fail?"

The point is that even though it takes a lot of time and effort to grasp the inner workings of linear models and the tools and techniques of linear algebra used to build such models, understanding their failure modes and limits is even more important. Many historical engineering disasters (and economic collapses, ahem) were due to over-extrapolation of and excessive faith in linear models.
by DIVx0 | 2025-11-03 17:13:22+00:00
I keep a similar kit of tools. However I still had problems fitting _everything_ i typically need in a small case. Typically I'd have to decide if I needed more socket or driver options and add/remove tools to accommodate.

I have since solved this problem: 1) Tool-Check PLUS from Wera: fantastic and highly condensed set of sockets, bits, ratchet and driver. all high quality. 2) Leatherman ARC: replaced a more basic multi-tool. I like the high quality blade material and the whole thing is very durable, i can squeeze and crank the pliers without worry.

The leatherman is a bit of a splurge but I highly recommend the tool-check for tool-using EDC minded folks. They make good gifts too.
by swivelmaster | 2025-11-03 17:13:42+00:00
At some point we have to be willing to call out, at a societal level, that LLMs have been fundamentally oversold. The response to "It made defamatory facts up" of "You're using it wrong" is only going to fly for so long.

Yes, I understand that this was not the intended use. But at some point if a consumer product can be abused so badly and is so easy to use outside of its intended purposes, it's a problem for the business to solve and not for the consumer.
by ericreyes217 | 2025-11-03 17:14:12+00:00
Location: Las Vegas, NV | US Remote Remote: Yes.

Willing to relocate: No.

Technologies: JavaScript/Typescript, Python, React, NextJS, NodeJS, VueJS, LLM Enthusiast, AI/ML, C#/.Net, Java/SpringBoot, Headless CMS, Sanity.io, DecapCMS

Résumé/CV: https://drive.google.com/file/d/1L6y9mkCtsjJN5dvi196ysDsfw9B...

Email: ericreyes71222@gmail.com

Who I am:

I'm an experienced (10+ years), versatile Full Stack engineer, specifically have passion in AI-driven application development. I'm seeking an opportunity to contribute to the success of a team while continuing to learn and expand my skills. I'm not working in a technical role at the moment, but am attempting to get back into the engineering world.
by lunias | 2025-11-03 17:14:13+00:00
You are correct, ideally you would do both. My car is lowered on coilovers, I also have front and rear sway bars, but weight reduction is so much more than just handling.

I didn't realize that Jeep was so light... pretty nice actually, but yeah, that's just an application mismatch. People buy Jeeps that will never see even a dirt road in their lives. Then they get on a dirt road once or twice and say, "Look what it can do!" Sure... a rally car would be much better. In order for the Jeep to come into its own you need to be doing something that requires ground clearance... that's basically their singular purpose: rock crawling (which almost no one does).
by megaman821 | 2025-11-03 17:14:19+00:00
As a long-time Django user, I would not use Django for this. Django async is probably never the right choice for a green-field project. I would still pick FastAPI/SQLAlchemy over Express and PostHog. There is no way 15 different Node ORMs are going to survive in the long run, plus Drizzle and Prisma seem to be the leaders for now.
by goda90 | 2025-11-03 17:14:34+00:00
There is a certification group called Best Aquaculture Practices[0] that sets standards for hatcheries, farms, feed mills, and processing plants regarding sustainability and quality. They've got a new feed mill standard[1] but it seems like it gives feed mills a few years to come into compliance to use sustainable fishmeal and fish oil.

[0]https://bapcertification.org/Home [1]https://bapcertification.org/Downloadables/pdf/standards/BAP...
by ceejayoz | 2025-11-03 17:14:37+00:00
> Obamacare's modeling predicted that significantly more healthy people would sign up, driving costs down. It didn't happen.

It was intentionally fucked with. The requirement to get insurance was nulled out for those young, healthy folks. The end result was obvious - eventual collapse of the system.

https://en.wikipedia.org/wiki/Individual_shared_responsibili...

https://en.wikipedia.org/wiki/Tax_Cuts_and_Jobs_Act
by BiteCode_dev | 2025-11-03 17:14:37+00:00
Of course you don't tell people they have to pay mid party. This is for things like collecting donations money for next parties.

In places when you don't have a lot of money to go around, solidarity goes a long way, and nobody finds it weird to ask for help.

I understand on HN the average salary allows to pay for a lot, but it's an exception.

In France, it's common that everybody brings something for dinner, for example, even if you are invited.

If you throw a big party and then ask people if they want to help the people that did that, they are usually happy to do it.
by scaillib | 2025-11-03 17:14:41+00:00
Several vendors are proposing alternative, with local Python execution with sandboxing and without local deployment of Python, leveraging WASM with Pyodide (which now supports Pandas, Duckdb, ...).

it is the case of XLWings lite https://lite.xlwings.org) and even Anaconda who partners with Microsoft for the distribution running in Azure, has developed such flavor (Anaconda Code https://www.anaconda.com/docs/tools/excel/code).

so to run native Python you end up depending on Azure. and to run Python locally you depdend on initially Web centric technologies in this case Typescript, Wasm, WebWorker...
by whockey | 2025-11-03 17:15:16+00:00
Column (https://column.com/) | San Francisco, CA (ONSITE) | Full Time | Software Eng (Infrastructure), Software Eng (Backend), Software Eng (Product) Column is building the infrastructure that powers the US dollar globally. We're a software first company, but also own a nationally chartered bank that we've built from the ground up. We're currently processing trillions of dollars annually, supporting some of the largest and most sophisticated companies out there like Wise, Bilt, Brex, Ramp, Mercury and dozens of others.

Previous to this I started Plaid (plaid.com), and at Column I'm focused on keeping an extremely lean and experienced team. We're currently 10 experienced engineers that all report to me. We are looking for an ambitious infrastructure, product, and backend engineer (one of each) that wants to build incredible software from first principles.

Profitable and 100% owned by employees and founders.

Apply here: https://column.com/careers

Feel free to email me with any questions: william@
by ineptech | 2025-11-03 17:15:56+00:00
The issue isn't people going too fast, it's people turning left. 26 basically connects Portland on one end and Mt Hood recreation stuff on the other, and it used to be that there wasn't that much in between. Over the last few decades, a lot of development has gone up, meaning a lot more businesses and neighborhoods along both sides of 26, plus the highway has gotten a lot busier.
by rachelrusiecki | 2025-11-03 17:15:59+00:00
Location: Chicago, IL Remote: Open to Remote, In-person, or Hybrid

Willing to relocate: Yes

Technologies:

Languages - JavaScript, TypeScript, Ruby, Python, SQL Frameworks / Libraries - Express, Sinatra, React, Jest, Vitest, LangChain, Selenium, Pandas Cloud / Databases - AWS, DocumentDB, MongoDB, PostgreSQL, RDS, SQLite, ChromaDB Other - Docker, AI/LLMs, RAG, MCP, SSE, WebSockets

Résumé/CV: https://tinyurl.com/34sfutx5

Email: rachrusiecki@gmail.com

Hi! I'm Rachel and I'm a Full-Stack Software Engineer based in Chicago with multiple years of experience in JavaScript, TypeScript, Ruby, and Python. I have also worked with various technologies including AWS and Docker. I am the co-creator of Pendulum (https://www.pendulum-baas.dev/), a reactive Backend as a Service for web applications.
by angmarsbane | 2025-11-03 17:16:14+00:00
I feel the constant fighting with insurance isn't spoken to enough. I don't want insurance because I don't want to be both a billing department and a sick person. We went through the same mess when both of my parents were sick. We were already taking in an enormous amount of new information about their illnesses and then we were also having to try and learn how their insurance worked, what was covered, what wasn't, trying to vet what would happen in every appointment, which doctors would show up (bc what if one of the doctors is out-of-network), duking it out with insuance over prior authorizations, trying to tie each bill that came in to something that happened months ago and then vetting if the bill was correctly billed, correctly covered by insurance etc, and on and on and on. I'd rather have 0 insurance and just negotiate each bill as it came in with one single entity, the hospital.
by michaelm244 | 2025-11-03 17:16:23+00:00
Comulate | Senior Engineer (3+ YoE) | ONSITE in San Francisco, CA

We're building automation software for the $7T insurance industry, accelerated by AI. Seed stage in terms of headcount (~ 20 people) but Series B in terms of business traction (+ cash-flow positive). We've intentionally stayed under the radar.

- Product has caused customers to literally cry tears of joy

- Experienced eng team from Airbnb / Brex / LiveRamp

- Stack: TS, Postgres, React, GraphQL, and Next.js

Apply here: https://comulate.com/careers
by moseg | 2025-11-03 17:16:34+00:00
True. CPA has existed for years, but CPA still pays for intent, not outcome fairness.

With CPA, the advertiser defines the “action” — click, signup, purchase — but not whether the buyer actually got a fair deal.

The next step is AI verifying value on both sides. That’s where it stops being “cost per acquisition” and starts being “cost per trust.”
by arabello | 2025-11-03 17:16:38+00:00
Location: Italy Remote: Yes Willing to relocate: Yes (main European cities) Technologies: Python, Typescript, React, LLM, Docker, Postgres Resume: https://www.matteopellegrino.dev/cv Email: matteo.pelle.pellegrino@gmail.com

I’m a Product-minded Fullstack Engineer, currently focusing on Generative AI / LLM integrations (agents, evals, etc.). ~5 YoE in designing and implementing web products from requirements gathering to deploy, from bootstrap to production. I am a generalist who loves spacing between techs, roles and activities. Looking for startups or medium-tech companies to expand my area of impact through more meaningful projects.
by hnuser123456 | 2025-11-03 17:16:41+00:00
I am aware, but think about right after a smaller is done training. The researchers can then quiz it to get a sense of the depth of knowledge it can reliably cite, then fine-tune with examples of questions beyond the known depth of the model being refused with "Sorry, I'm a small model and don't have enough info to answer that confidently."

Obviously it's asking for a lot to try to cram more "self awareness" into small models, but I doubt the current state of the art is a hard ceiling.
by jonway | 2025-11-03 17:16:55+00:00
On the plus side, you can just declare bankruptcy and fold instead of becoming a share cropper.

Heres the thing, these assets deprecate, while the stock doesn't. I see a big asymmetry in deals like this, and I do not like it. When you start a business and become indispensable to your customers, you're doing well. If a company fails, it is maybe unavoidable. In situations like this, the risk increases because now these companies are interdependent not only as suppliers and providers, but in their intrinsic value and likely decision making insofar as shares can be voting shares. In any case, the C Suite and board sure know who owns %10 of the shares.

>In our world however companies are free to gamble on the side as long as their owners don't mind.

This constitutes an enormous systemic risk. We are treading in dangerous waters. The owners are not the only stakeholders in a company.
by c-hendricks | 2025-11-03 17:17:00+00:00
> it's requirements are pretty opinionated (Ubuntu LTS 22.04 or 24.04

Hm?

> This guide describes an installation of Infinite Scale based on Ubuntu LTS and docker compose. The underlying hardware of the server can be anything as listed below as long it meets the OS requirements defined in the Software Stack

https://doc.owncloud.com/ocis/next/depl-examples/ubuntu-comp...

The Software Stack section goes on to say it's just needs Docker, Docker Compose, shell access, and sudo.

Ubuntu and sudo are probably only mentioned because the guide walks you through installing docker and docker compose.
Show HN: Painless structured data from LLMs in Rust: rstructor
by cliftonk | 2025-11-03 17:17:12+00:00
I built rstructor, a Rust library for structured LLM outputs. It's like Python's Instructor/Pydantic, but with the power and type-safety of Rust.

You define your data models as Rust structs/enums, and rstructor handles the rest: JSON Schema generation, LLM communication (OpenAI, Anthropic, etc.), parsing, and validation.

Example - extracting structured data from unstructured text:

use rstructor::{Instructor, LLMClient, OpenAIClient, OpenAIModel}; use serde::{Serialize, Deserialize}; #[derive(Instructor, Serialize, Deserialize, Debug)] enum Severity { Low, Medium, High, Critical } #[derive(Instructor, Serialize, Deserialize, Debug)] enum IssueType { Bug { severity: Severity }, FeatureRequest, Performance { ms_impact: u32 }, } #[derive(Instructor, Serialize, Deserialize, Debug)] struct TriagedIssue { title: String, issue_type: IssueType, } let client = OpenAIClient::new(env::var("OPENAI_API_KEY")?)? .model(OpenAIModel::Gpt4OMini); // Performance issue example let perf_issue: TriagedIssue = client.materialize( "The login page takes about 500ms to load, which feels really slow compared to other pages." ).await?; // Bug report example let bug_issue: TriagedIssue = client.materialize( "When I enter an invalid email address, the login page crashes with a null pointer exception." ).await?; // Now you have type-safe data - leverage Rust's pattern matching match perf_issue.issue_type { IssueType::Performance { ms_impact } => { println!("Performance issue detected: {}ms impact", ms_impact); } IssueType::Bug { severity } => { println!("Bug found with severity: {:?}", severity); } _ => {} } Key features: * Support for OpenAI, Anthropic, Grok (xAI), and Gemini * Custom validation rules with automatic detection * Nested structures, arrays, and enums with associated data * Automatic retry with validation error feedback

Crate: https://crates.io/crates/rstructor

GitHub: https://github.com/clifton/rstructor

Docs: https://docs.rs/rstructor

Would love feedback from anyone building LLM-powered tools in Rust!