MurphyA/hacker-news huggingface dataset:
by bossyTeacher | 2026-02-07 00:07:20+00:00
There is no reason why an AI model capable of pushing a significant chunk of devs into lower paid and highly competitive dev jobs as a result of automation needs to be a general artificial intelligence. There is a lack of nuance that comes with thinking that either AI is dumb or it has human level general intelligence. As much as devs hate to admit it, you don't need that much of what we understand as general intelligence to write software. Only a portion of your intelligence is needed and arguably not all of it at the same time.

While general purpose models might be plateauing soon (arguably they have for a while). Highly specialised models (especially for programming) haven't necessarily plateaud yet. And anyway, existing functionality seem like a good foundation to build upon systems that remove the need of hiring as many devs. It's not the "being out of a job" that should worry you. Open up your binary thinking and consider that facing a 08 job market for the rest of your career is not the same permanent unemployment but it is not a market you would like to have.

That is the real concern.
by moorow | 2026-02-07 00:07:25+00:00
We saw this coming (like most people) a while ago when Heroku started flaking without status updates, and moved part of our workload to Fly. We ended up moving off Fly as well (significant unreliability and just some very strange network load balancer issues that would cause us downtime) and went to Railway, and that's been fantastic so far. We've moved our whole workload onto it.
by observationist | 2026-02-07 00:08:00+00:00
Also, with regards to faces, that's kind of what I'm getting at - we don't have grid cells for faces, there seem to be discrete, functional, evolutionary structures and capabilities that combine in ways we're not consciously aware of to provide abilities. We're reflexively able to memorize faces, but to bring that to consciousness isn't automatic. There've been amnesia and lesion and other injury studies where people with face blindness get stress or anxiety, or relief, when recognizing a face, but they aren't consciously aware. A doctor, or person they didn't like, showing up caused stress spikes, but they couldn't tell you who they were or their name, and the same with family members- they get a physiological, hormonal response as if they recognized a friend or foe, but it never rises to the level of conscious recognition.

There do seem to be complex cells that allow association with a recognizable face, person, icon, object, or distinctive thing. Face cells apply equally to abstractions like logos or UI elements in an app as they do to people, famous animals, unique audio stings, etc. Split brain patients also demonstrate amazing strangeness with memory and subconscious responses.

There are all sorts of layers to human memory, beyond just short term, long term, REM, memory palaces, and so forth, and so there's no simple singular function of "memory" in biological brains, but a suite of different strategies and a pipeline that roughly slots into the fuzzy bucket words we use for them today.
by maplethorpe | 2026-02-07 00:08:02+00:00
If vibe coding satisfies your need to build, then you're performing a deception on yourself. I guarantee it's still possible to satisfy one's need to create in the era of AI. Just switch off the autocomplete slot machine.

If your answer to that is "but I'll fall behind! It's not pragmatic to take the slower route!", think about the damage you're inflicting on yourself. You're allowing your neurons to wither while you trick your brain into releasing pleasure chemicals with a simulation of the real activity. Who is really falling behind, here?
Show HN: Perchpad – Collaborative real-time Markdown editor backed by Git
by halotrope | 2026-02-07 00:08:45+00:00
I've wanted something like this for a long time and finally built it over the weekend after seeing a tweeet about LLM memory.
Perchpad is a collaborative real-time Markdown editor where your workspace is just a folder of flat .md and .csv files, version-controlled with Git.

Key things:

Git-native storage, your workspace is plain files. git clone them, download as zip, or just edit locally. No proprietary format lock-in.

Deep LLM support. hook it up to Claude as persistent memory/context. The LLM integration is fairly capable for drafting and editing within docs.

Web based real-time multiplayer – full collaborative editing, multiple cursors, the usual.

Text-to-speech longform read-aloud with decent voice options.

The idea is that your notes and docs should be portable plain text first, collaborative second, and AI-augmented third — not the other way around.
Would really appreciate any feedback. Happy to answer questions here.

https://perchpad.co
Show HN: A Kubernetes Operator to Validate Jupyter Notebooks in MLOps
by takinosh | 2026-02-07 00:10:08+00:00
I built an open-source Kubernetes operator to automate the validation of Jupyter Notebooks in MLOps workflows. It's called the Jupyter Notebook Validator Operator and it's designed to catch issues with notebooks before they hit production.

It runs notebooks in isolated pods and can validate them against deployed ML models on platforms like KServe, OpenShift AI, and vLLM. It also does regression testing by comparing notebook outputs against a "golden" version.

The goal is to make notebooks more reliable and reproducible in production environments. It's built with Go and the Operator SDK.

We're looking for contributors. There are opportunities to work on features like smarter error reporting, observability dashboards, and adding support for more platforms.

GitHub: https://github.com/tosin2013/jupyter-notebook-validator-oper...
by wrs | 2026-02-07 00:10:13+00:00
Are you prompting the LLM in an interesting way?

Brian Eno set up a bunch of tape loops of different lengths with a few notes each and let them run until something interesting happened.

Washed Out slowed down some Italo disco and sang over it (Feel It All Around aka theme to Portlandia). Does that count? [0]

Artists gonna art.

[0] https://www.tiktok.com/@nardinyouryard/video/759472477690464...
by nimonian | 2026-02-07 00:10:14+00:00
Wittgenstein famously said "The limits of my language mean the limits of my world."

Alan Watts suggests people like Wittgenstein should occasionally try to let go of this way of thinking. Apologies if it is sentimental but I hope you'll give him a chance, it's quite short: https://m.youtube.com/watch?v=heksROdDgEk

In reflection of all of this, I think that the quote you're responding to only meant to say that experiencing the world through language means building an abstraction over its richness. (I somewhat agree with you, though, that the quote seems a little dramatic. Maybe that's just my taste.)

One more thought.

I think there's a reason why various forms of meditation teach us to stop thinking. Maybe they are telling us to sometimes stop dealing with our abstractions, powerful though they might be, and experience the real thing once in a while.
by westurner | 2026-02-07 00:10:40+00:00
ScholarlyArticle: "Resolving intervalley gaps and many-body resonances in moiré superconductors" (2026)
https://dx.doi.org/10.1038/s41586-025-10067-1 :

> Abstract: Magic-angle twisted multilayer graphene stands out as a highly tunable class of moiré materials that exhibit strong electronic correlations and robust superconductivity [1,2,3,4]. However, understanding the relationships between the low-temperature superconducting phase and the preceding correlated parent states remains a challenge. Here we use scanning tunnelling microscopy (STM) and spectroscopy to track the formation sequence of correlated phases established by the interplay of dynamic correlations, intervalley coherence and superconductivity in magic-angle twisted trilayer graphene (MATTG). We discover the existence of two well-resolved gaps pinned at the Fermi level within the superconducting doping range. Although the outer gap, previously associated with the pseudogap phase [5,6], persists at high temperatures and magnetic fields, the newly revealed inner gap is more fragile, in line with previous transport experiments [1,2,4]. Andreev reflection spectroscopy taken at the same location confirms a clear trend that closely follows the doping behaviour of the inner gap and not the outer one. Moreover, spectroscopy taken at nanoscale domain boundaries further corroborates the contrasting behaviour of the two gaps, with the inner gap remaining resilient to structural variations. By comparing our results with recent topological heavy fermion (THF) models that include dynamical correlations [7,8], we find that the outer gap probably arises from a splitting of the Abrikosov–Suhl–Kondo resonance [9,10] owing to the breaking of the valley symmetry. Our results indicate an intricate yet tractable hierarchy of correlated phases in twisted multilayer graphene.

NewsArticle: "How superconductivity arises: New insights from moiré materials" https://phys.org/news/2026-02-superconductivity-insights-moi...
by Rochus | 2026-02-07 00:12:30+00:00
Neely's core thesis seems to be that AI music companies (like Suno) are not "democratizing" music, but are engaging in a form of "wealth extraction" designed to turn music into a disposable consumer product. The business model Neely criticizes (wealth extraction, consolidating control, and paying pennies to artists) is not unique to AI; it is the standard operating procedure of the music streaming industry (e.g. Spotify) for the last twenty years. The AI tech is just the new delivery mechanism for the same old record monopolists.

"Democratization of music" simply means lowering the barrier to entry, which services like Suno undeniably do.
by paulgerhardt | 2026-02-07 00:12:47+00:00
Just went through this. Sample size one:

While the fire resulted in the total loss of the house it was actually the water from the fire department not the heat that did proportionally more damage.

As a mental model you shouldn’t think of it as “what if my house burns down?” so much as “what if strangers roll up to my windows and chainsaw through my roof and spray 50,000 gallons of water in here?”

Yes everything in the mechanical room melted but everything in the rest of the house got hot, smoky, soaked and then moldy.

For root of trust materiel like social security cards, cash, passports put in a ziplock bag in a fireproof, waterproof safe. But for other storage I use clear “Ezy Storage” brand stackable 50L tubs labeled with Homebox QR codes. In the US, Target and Home Depot frequently stock them. I am very anti black and yellow tubs.

The majority of work post-fire goes to itemizing your house inventory for insurance. Even cataloging all your bathroom’s soaps by brand name rather than generic can make $100 difference. Multiply that by 500x different things.

From a threat model perspective I look at rooms from a “what would be salvageable in here if I emptied a swimming pool’s worth of water from some fire sprinklers”. Furniture and TVs are easy to replace. Other stuff less so.
by vladdoster | 2026-02-07 00:12:55+00:00
Location: Nashville, TN
Remote: true
Willing to relocate: boston || nashville
Technologies: Python, Django, IaC, Terraform, Golang, CI/CD, Azure/AWS, {ba,z}sh, Lua, Springboot,
Redis, Docker, Open Service Broker, {,non}relational & vector dbs, shared services, SOA
Email: mvdoster@gmail.com

resume: https://linkedin.vdoster.com && http://github.com/vladdoster

sr. cloud software engineer @ Mastercard (5 years)

Designed and built Platform-as-a-Service for microservice workloads running on Azure and AWS
to migrate on-prem workloads to the cloud. The platform operates globally, allowing teams to
deploy to several Azure-backed regions worldwide. Helped plan and create regional landing zones
in Azure for application teams wanting to perform globally. Designed platform components using
Terraform, Go, and Node; developed support tooling using Bash, Python, and Azure CLI. De-risk the
platform by addressing security vulnerabilities and ensuring the platform is PCI compliant.

api/devops software engineer @ Harvard Medical School (2 years)

Worked as part of the DevOps team to manage a 15k core CentOS HPC cluster. Designed and implemented
Python-based security scanning pipeline to securely deploy & run Apptainer images via SLURM.
Coordinated cross-team emergency patching eﬀorts. Collaborated with researchers and engineers across
3-letter institutions to deliver secure research infrastructure. Built CI/CD Pipelines with GitHub, Jenkins,
to automate code builds, testing, and deployments. Wrote Puppet modules to manage configuration of HPC fleet.
Wrote custom Puppet module & Python scripts to automatically remediate Tenable findings.

full-stack software engineer @ Global Prior Art (3 years)

Used Django, Celery, Selenium grid, and AWS API Gateway for IP rotation to scrape USPTO patent PDFs,
apply CV for data extraction, and generate reports with relevant claims, saving employees 4-5 hours daily.
Wrote E2E black-box/fuzzing unit tests. Automated on-premise deployment via Github Actions and Ansible.

maintainer @ Zinit (5 years)

Develop and maintain a zsh plugin manager on Github with 4k stars. Implemented unit tests,
containerization, bug fixes, and new features.
See: https://github.com/zdharma-continuum/zinit

contributor @ Open-source documentation (5 years)

Contributed hundreds of documentation corrections and enhancements to 400+ open source projects.
by ajcp | 2026-02-07 00:13:14+00:00
Not at all. It's not the counter-factual they're generating, it's the "too rare to capture often enough to train a response to" they're generating.

They're implying that without the model having knowledge, even approximate, of a scene to react to, it simply doesn't react at all; it simply "yields" to the situation until it passes. In my experience taking Waymo's almost daily this holds.

I would rather not have the Waymo yield to a tornado, rising flood-waters, or charging elephant...
by cd_mkdir | 2026-02-07 00:13:28+00:00
Problem was Implementing the 'Lowest Intermediate Balance Rule' (LIBR) legal algorithm in Python.

The Hard Part was OCR. I benchmarked Tesseract vs. Mistral OCR-3 on messy bank PDFs; Mistral won because it understands table layouts.

Built with Django/Celery to handle 10k+ transaction ledgers.

Happy to answer questions about the OCR pipeline or the graph theory implementation.
by mananaysiempre | 2026-02-07 00:14:02+00:00
> NTFS has a terrible design flaw which is the fact that small files, under 640 bytes, are stored in the MFT.

Ext4 also stores small (~150B) files inside the inode[1], and so do a number of other filesystems[2]? NTFS was unusually early to the party, but if you’re right that it’s problematic there then something else must also be wrong (perhaps with the locking?) to make it so.

[1] https://www.kernel.org/doc/html/latest/filesystems/ext4/inli...

[2] https://en.wikipedia.org/wiki/Comparison_of_file_systems#All..., the “Inline data” column.
by jpollock | 2026-02-07 00:14:49+00:00
I think there are different definitions of DevOps.

I see a difference between a more definite operations team (SRE) vs an engineering team having responsibility for how their service works in production (DevOps).

DevOps is something that all teams should be doing - there's no point in writing code that spends it's life generating problems for customers or other teams, and having the problems arrive at the owners results in them being properly prioritized.

In smaller orgs, DevOps and SRE might be together, but it should still be a rotation instead of a fulltime role, and everyone should be doing it.

Engineers who don't do devops write code that looks like:

if (should_never_happen) {
log.error("owner=wombat@example.com it happened again");
}

Where the one who does do devops writes code that avoids the error condition entirely (usually possible), or decides what the code should do in that situation (not log).
by gchamonlive | 2026-02-07 00:15:05+00:00
> A lot of how I form my thoughts is driven by writing code, and seeing it on screen, running into its limitations.

If you need that, don't use AI for it. What is it that you don't enjoy coding or think it's tangential to your thinking process? Maybe while you focus on the code have an agent build a testing pipeline, or deal with other parts of the system that is not very ergonomic or need some cleanup.
by Animats | 2026-02-07 00:15:13+00:00
Yes, this is just the power for the joint, not the hinge.

How to do this in a tight space is a tough mechanical engineering problem. Tesla's Optimus uses a 4-bar linkage as the hinge, and some kind of cylindrical linear
actuator as the power drive. Can't tell much about the actuator from the patent for the hinge.

Boston Dynamics used to use hydraulic pistons in their legs, but that did not scale down well from their Big Dog mule-sized machine. They finally went electric, and their machines became far less clunky. Motor power/weight ratios have improved a lot since the early BD days.

Electrical linear motors would be a nice solution. They're rarely used, because they tend to have to be custom for each application. But we might see more of that as humanoid robots approach volume production. The technology has reached 15:1 power/weight ratio.[1] With cooling.

[1] https://irisdynamics.com/
by octoberfranklin | 2026-02-07 00:15:45+00:00
Shamir Secret Sharing is notoriously difficult to implement correctly, and even the smallest most subtle bugs result in total compromise.

Consider whether you really need this.

Doing 7-choose-5 separate multiparty encryptions is way harder to screw up. Is having to produce 42 ciphertexts really a dealbreaker?
by blackqueeriroh | 2026-02-07 00:15:56+00:00
Can you define “non-technical folks” for me? Because last I checked there are a LOT of “technical” people who aren’t software engineers, and a lot of “non-technical” people who don’t believe software is “kinda easy to do.”

It’s really frustrating to see comments like this with absolutely zero sourcing, but just stated as fact.

It’s giving “I saw ads on LinkedIn and it made me anxious about a world where I can’t make six figures being in control of what tools people have access to”
by shoo | 2026-02-07 00:16:46+00:00
Yeah, having a layer of human experts to sanity check and weed out hallucinated false positive issues seems like an important part of this process:

> To ensure that Claude hadn’t hallucinated bugs (i.e., invented problems that don’t exist, a problem that increasingly is placing an undue burden on open source developers), we validated every bug extensively before reporting it. [...] for our initial round of findings, our own security researchers validated each vulnerability and wrote patches by hand. As the volume of findings grew, we brought in external (human) security researchers to help with validation and patch development.

Based on the experiences shared by curl's maintainers over the last couple of years, resulting in them ending their bug bounty program [1] [2] [3], I'd suggest the "growing risk of LLM-discovered [security issues]" is primarily maintainers being buried under a deluge of low-effort zero-value LLM-hallucinated false positive security issue reports, where the reporter copy-pastes LLM output without validation.

[1] https://daniel.haxx.se/blog/2026/02/03/open-source-security-...

[2] https://daniel.haxx.se/blog/2026/01/26/the-end-of-the-curl-b...

[3] https://daniel.haxx.se/blog/2025/07/14/death-by-a-thousand-s...
by EdmundL_ | 2026-02-07 00:18:15+00:00
Location: Murray, Kentucky, United States
Remote: Willing but not necessary
Willing to Relocate: Absolutely
Technologies: React, Next.js (App Router), TypeScript, JavaScript, Tailwind CSS, Radix UI, HTML/CSS, Node.js, Express, FastAPI, REST APIs, Auth (OAuth, JWT/session-based), Java, Python, C++, PostgreSQL, NoSQL
Resume/CV:https://drive.google.com/file/d/19igdIzKj7Bb7y2E9Fd_0e9KXBJ8...
Email: edmundlongsworthwork@gmail.com
Role: I'm looking for entry/founding software engineering roles.
ME: I'm ready to build alongside a talented team, and I have the background to excel in any environment. Interview me and let's see if we connect as humans!
by squeaky-clean | 2026-02-07 00:18:38+00:00
For Forty News I don't think the "need sources" requests are for contents of the news stories. It's about where did these stories come from? How can I know these were ever actually published. As it currently is, I can't tell if these were pulled from real newspapers or AI generated to write a simulation of what the story might have been like if it were condensed to 10 sentences.
by burnerToBetOut | 2026-02-07 00:19:32+00:00
Awesome! Thanks again!

> …Read the TASKS.md file if it exists…

What about sharing that TASKS.md? I'd like to replicate your success as closely as possible.

Having the same tasks would help me nail a similar successful result.

I forgot to also ask: What language and which REST framework was your microservice implemented with?

For even better reproducibility, I'm thinking I should have my codebase be as similar to yours as I can get it.

TIA!
by westurner | 2026-02-07 00:19:38+00:00
What does this look with with imaging for election vortices?

From "Did the Particle Go Through the Two Slits, or Did the Wave Function?" https://news.ycombinator.com/item?id=43388542 :

> "Quantum microscopy study makes electrons visible in slow motion" https://news.ycombinator.com/item?id=40981054 :

"Terahertz spectroscopy of collective charge density wave dynamics at the atomic scale" (2024) https://www.nature.com/articles/s41567-024-02552-7 :

>> Here, by utilizing terahertz pump–probe spectroscopy in a scanning tunnelling microscope,

> "Topological gauge theory of vortices in type-III superconductors" https://news.ycombinator.com/item?id=41803662 :

"Topological gauge theory of vortices in type-III superconductors" (2024) https://link.aps.org/doi/10.1103/PhysRevB.110.094506

From https://news.ycombinator.com/item?id=40360691 :

"Observation of current whirlpools in graphene at room temperature" (2024) https://www.science.org/doi/10.1126/science.adj2167 :

> Using a nanoscale scanning magnetometer, we imaged a distinctive hydrodynamic transport pattern—stationary current vortices—in a monolayer graphene device at room temperature. By measuring devices with increasing characteristic size, we observed the disappearance of the current vortex and thus verified a prediction of the hydrodynamic model. We further observed that vortex flow is present for both hole- and electron-dominated transport regimes but disappears in the ambipolar regime. We attribute this effect to a reduction of the vorticity diffusion length near charge neutrality. Our work showcases the power of local imaging techniques for unveiling exotic mesoscopic transport phenomena.
by kokanator | 2026-02-07 00:19:42+00:00
Or perhaps those who are saying otherwise are trying to spread their own mind virus.

It is interesting how derisive your comment is compared to those who are in support of interesting and diverging content.

I am, however a bit confused by your comment as I have read several posts this week that had absolutely nothing to do with software/technology and most interestingly only two having to do anything with a compiler. Are you saying we should only post about compilers.

I am waiting to be enlightened by your list of acceptable topics and content.
by tzs | 2026-02-07 00:19:56+00:00
The thing that popped out to me playing around with that is that when you look at most of these things from the late '70s through now, many show some modest growth or flatness through the '90s, then grew a little more up through the 2010s or so, and have pulled back a little in the last few years to roughly 2008ish levels. This is for both math and reading and for both 9 year olds and 13 year olds.

Depending on what exactly you are looking at the places that it grew or was flat or declines change, but overall the big picture look gives me more "keep an eye on it" vibes than "we've got a crisis" vibes that some people seem to think are justified.