MurphyA/hacker-news huggingface dataset:
by mullingitover | 2025-06-02 18:20:31+00:00
The shingles vaccine is another promising one[1]

> Researchers found that compared to those who didn't get the shingles vaccination, those who received it...

> were 3.5% less likely to develop dementia over seven years (a 20% reduction)

These types of findings are problematic for anti-vaxxers, however they seem likely to overcome this through their wholesale butchery of US research.

[1] https://www.health.harvard.edu/blog/can-a-routine-vaccine-pr...
by fidla | 2025-06-02 18:21:27+00:00
David Sacks:

" These are people who fundamentally believe in empowering government to the maximum extent."

"My problem with that is, I actually think that probably the single greatest dystopian risk associated with AI is the risk that government uses it to control all of us."

"And out of all the risks we've talked about, that's the only one for which I've seen tangible evidence."

" So in other words, if you go back to last year when we had the whole 'Woke AI', there was plenty of evidence that the people who were creating these products were infusing their left-wing or woke values into the product to the point where it was lying to all of us and it was rewriting history."

" And there was plenty of evidence that the Biden EO was trying to enshrine that idea, basically trying to require DEI be infused into AI models."

" So I'm quite convinced that prior to Donald Trump winning the election, we were on a path of global compute governance where two or three big AI companies were going to be anointed as the winners, and the quid pro quo is that they were going to infuse those AI models with woke values."
by kierangill | 2025-06-02 18:21:45+00:00
Blueberry Pediatrics | Full-stack Senior or Staff Engineer | REMOTE (US only)

American healthcare is seldom affordable, accessible, or high-quality. We are fixing this for pediatrics. Blueberry is the most affordable option amongst our competitors. We practice the highest quality pediatric telemedicine, as evidenced by our exclusive hiring of board-certified pediatricians and the usage of at-home medical kits. And, we’re accessible 24 hours a day.

Our success is shown in the lives we save, the costs we save our insurers, and our exploding B2B and D2C business.

As you can imagine, pulling off affordable high-quality healthcare is a challenge. It requires a lot of engineering ingenuity, a C-suite aligned with positive patient outcomes above short-term profits, and a great product team.

We use Django, Hotwire Turbo (an HTMX-like framework), Pytorch, Sklearn, and Flutter. Experience in these technologies helps, but what’s more important is general full-stack knowledge, curiosity, and a strong work ethic.

Full-stack Senior engineer: https://jobs.ashbyhq.com/blueberrypediatrics/dc8108f3-34ed-4...

Our homepage: https://blueberrypediatrics.com/

Our engineering blog: https://engineering.blueberrypediatrics.blog/
by sylens | 2025-06-02 18:21:46+00:00
I am actually very interested to see the data play out with the first generation of people who received the chickenpox vaccine as kids (millennials). If you have chickenpox, then you're at risk for shingles later in life, which seems to be a contributing factor to dementia in some individuals. But if an entire generation isn't at risk of shingles, we would probably expect to see a statistically significant drop in dementia as well.
Show HN: I just built the first AI-powered Kubernetes IDE – Agentkube
by siddhantprateek | 2025-06-02 18:22:02+00:00
I just launched Agentkube, the first AI-powered Kubernetes IDE.

Think: Cursor/Windsurf for Kubernetes

It's a native desktop app that helps you manage kubernetes clusters, debug issues, and auto-heal(coming soon) with built-in AI agents, supports MCP Server and lot more.

Demo: https://www.youtube.com/watch?v=vdDqt7jYpsU

Would love your feedback!
by vel0city | 2025-06-02 18:22:22+00:00
The biggest thing I've experienced with cheap tablets is that the underlying storage medium of the device just sucks, and there's often no good way to actually know how bad it'll be when just looking at a spec list. Auto-updates from the Google Play store of the apps will quickly wear out the on-board storage and lead to everything going extremely slow until it finally dies.

Also, usually they have extremely bad screens with terrible viewing angles. Using them as something you're going to stare at for hours is miserable. Sure, the spec list says it's a higher resolution than the paper-like e-reader, but in practice the paper like display is far more comfortable to stare at for long periods of time.

Spec lists don't tell the whole story.
by freedomben | 2025-06-02 18:22:27+00:00
I would be careful suggesting this as a universal truth. I think it really depends on the receiver of the message. "An open-source alternative to Trello" is by far the best one-sentence pitch possible for me. It's something that I've wanted for years so I immediately noticed and clicked into it. Obviously I already know what Trello is, but my suspicion is the most interested people in this project are former Trello users.

"A powerful, flexible kanban app that helps you organise work, track progress, and deliver results—all in one place." I would not have even clicked in. "An open source Trello" tells me way more about the app.

Consider also how many apps are described as "the uber for <xyz>". For people who don't know what Uber is that message falls very flat of course, but a lot of people do know what Uber is and saying, "The Uber for handymen" immediately conveys the point of the app.
by jerejacobson | 2025-06-02 18:22:35+00:00
Location: Cambridge, MA Remote: Yes Willing to relocate: No Technologies: TypeScript, JavaScript, Vue, Tailwind, Node. js, Flutter/Dart, C#, Mongo, Postgres, MySQL Résumé/CV: https://www.jerejacobson.com/Jeremiah_Jacobson_Resume_2025.pdf Email: jerejacobson@protonmail. com LinkedIn: https://www.linkedin.com/in/jeremiah-jacobson-31919b346/

I'm a full-stack developer currently working on contract projects and open to full-time, part-time, or additional contracting opportunities.

Previously, I was a full-stack Web Developer at Pivot Interactives, an education startup (acquired by Discovery Education), where I created an interactive video learning and teaching platform centered on science. Before that, I was a senior software developer at Corning Inc., where I co-created the software for quality controlling Gorilla Glass, used in factories worldwide to qualify billions of phone displays for Samsung, Apple, Huawei, and all major phone brands.

I would love to discuss the opportunities you have available. Feel free to reach out!
by kveykva | 2025-06-02 18:23:16+00:00
Max AI | SWE Fullstack, Backend, AI/ML Engineer | Hybrid In-Person/Remote (SF) | Full-time | $145k — $230k | https://www.maxcare.ai

Max AI is building the financial operating system for healthcare—turning the broken, error-prone billing process into a lightning-fast, autonomous experience, much like swiping a credit card. Our ambient AI agents handle medical coding, claim submission, and fund collection the moment a doctor finishes charting—no humans in the loop.

We’re addressing a $350 billion market where billing errors cause delayed treatments, higher healthcare costs, and massive medical debt. By eliminating billing mistakes, we enable faster access to care, reduce administrative burden on doctors, and protect patients from surprise bills.

We're a team of repeat founders and world-class builders:

- PhD/Postdoc AI scientists from MIT and Caltech

- Ex-VP of Engineering at Curative (led engineering for over 25M medical claims billed)

- Founders who’ve scaled products to 40M+ downloads and 150M+ monthly users

- A team of experienced engineers from Discord, Google, Facebook, Airbnb, Brex, and Figma

Traction:

- Launched in 2025

- Projecting $5M ARR in the next 2 months

- $2M in claims processed in the first 30 days (we earn 4–12% per claim)

We're 6 months in and just getting started. If you want to help build the AI infrastructure that will transform healthcare finance, reach out to: colton[@]maxcare[.]ai or apply at https://app.dover.com/apply/Maxcare/3684f186-f343-439a-9500-...
by DrillShopper | 2025-06-02 18:23:48+00:00
> Unfortunately, because this is directly opposed to our (at least in the US, and in most countries rooted in liberalism) sense of fairness which says that rules should be applicable universally, across all people and in all contexts.

The US is not even internally consistent about this - the legal definition of obscenity in the US is deferential to local community standards.
by tecleandor | 2025-06-02 18:23:52+00:00
Modern synthetic oils run in circles around the ones my dad used, and can easily get 7-10K miles. But it will also depend on the temperature of your engine (higher temp, less life). And also contaminants. If some humidity or coolant filters to your oil because of a bad gasket or because of bad combustion, after some time the oil can become a sludge and seize your engine.

So it's a good to change oil every so often even if you don't do a lot of mileage. A year and a half or two might be OK (unless you're doing tens of thousands of miles a year), but five years... over the top, I think.

I just expend 150 a year on the yearly maintenance (oil and filter change, air filter, some other stuff...) and forget about it.

(Mind my English, not my first language and I might be butchering the car terminology)
by nzzn | 2025-06-02 18:24:19+00:00
For a more full featured Xoshiro/Xoroshiro implementation see

https://github.com/nessan/xoshiro

Documented at: https://nessan.github.io/xoshiro/

Handles the full family of these generators featuring arbitrary jump sizes, stream partitioning for parallel applications, and, like this library, a number of convenience sampling methods to shield the casual user from the complexities of using <random>.

Can be used with a companion `bit` library (https://github.com/nessan/bit) that performs efficient linear algebra and polynomial reduction over GF(2) for those that want to explore some of the mathematics behind these linear generators.
by steveklabnik | 2025-06-02 18:24:42+00:00
One recent post I read about improving the discourse (which I seem to have lost the link...) agrees, but in a different way: adding a "capable vs not" axis. that is, "I believe AI is good enough to replace humans, and I am pro" is different than "I believe AI is good enough to replace humans, and I am against" and while "I believe AI is not good enough to replace humans, and I am pro" is a weird position to take, "I believe AI is not good enough to replace humans, and I am against."

These things are also not binary, they're a full grid of space.
by rustyben | 2025-06-02 18:24:42+00:00
Location: Boston, MA Remote: Yes, or hybrid Willing to relocate: no, but would consider mostly-remote in New England/NYC area Technologies: C++, Rust, Python, SLAM, 3D Mapping, Robotics, Mission Planning Resume: https://www.linkedin.com/in/ben-klein-341b02116/ Email: ben@b4ri.org

I'm also open to contract work, or hybrid in greater New England (and NYC). Looking to put my head down and get to work. I have experience with both greenfield projects and breathing new life into legacy code through careful testing and refactoring. Open to work outside of robotics/SLAM if C++/Rust based. Would also be open to hacking on Unreal Engine (I have some prior experience there).
by j_not_j | 2025-06-02 18:24:52+00:00
Downey published a (big-endian, SPARC) method in 2007:

https://allendowney.com/research/rand/

And Lemire in 2017 asked the question

https://lemire.me/blog/2017/02/28/how-many-floating-point-nu...

The basic approach: collect top 60 bits of a 64-bit PRNG. (Assume the LSBs are corrupt or zero or nonrandom). Set exponent zero. If the top mantissa bit is zero, shift left, subtract one from exponent. Repeat. When you run out of bits, collect another PRNG from your generator and resume until you have 56 bits of mantissa. When done, your floating-point PRNG is 2^exponent * mantissa.

My short explanation: Suppose you want a random distance. Multiplying a PR integer is the same as selecting a random tile in the distance, and measuring the distance to the (far) edge of the tile. This is the multiply method.

But if you want a real-valued distance even for very near distances, you need to scale your random number and ensure you have random bits throughout the mantissa. So reduce the exponent for every leading zero in your PR integer and shift. Add more bits if needed.

Test: the histogram of exponents for a large-enough set of samples is linear, give or take. Very small floating numbers (less than say 1/32768) are 1/16 as likely as numbers in [0.5,1).
by the_mitsuhiko | 2025-06-02 18:25:06+00:00
> You can't break a fundamental assumption without providing it's replacement, and call anyone else stupid.

Sure, within the bounds of what's documented you are right. However tar is going beyond what either standard or Linux guarantee so a lot of bets are off.

The guarantee that tar wants is not given by any FS that recycles inodes and most importantly, tar already completely disregards the file-system locality when network drives are involved.

The actual issue here is that both tar and Linux are just in a tough situation because a) the POSIX spec is problematic b) no alternative API exists today. Something has to give.
by usful | 2025-06-02 18:25:08+00:00
Parable | Senior ML Engineer x2 | Remote • Full time | $150-250k | Enterprise Sales Partner x2 | NYC Office • Full time • On-site | Variable comp

Parable is an AI intelligence layer purpose built for the C-suite. By creating a holistic observability layer across an entire organization we help drive real operating leverage at enterprise organizations of 1,000+ employees.

Hit multi-million ARR in 6 months. Founded by previously exited and experienced team, we're well funded and well managed.

Check out the roles here https://www.askparable.com/careers
by jadeyychan | 2025-06-02 18:25:45+00:00
Camber (YC W21) | Senior Software Engineer | NYC | Onsite / Hybrid | camber.health

Camber (fka Juniper) operates at the messy financial infrastructure for US Healthcare. We've built an automated end-to-end insurance billing system for recurring care, starting with Autism clinics.

At Camber, we’ve built an end-to-end billing system. We’ve built something really good, something that clinicians really need and love. We automate and abstract the tedious, manual, repetitive work that goes into the administrative duties of running a clinic, so that clinicians can do what they do best — providing high quality care. It starts with ingesting clinic data, and then create, validates, and submits claims to insurance providers across the country. If claims need corrections or appeals, most of the time we can handle those automatically or our CX and Operations team use our in-house internal tools. We also handle patient invoicing for co-pays, co-insurance, and deductibles.

We are a team of ~40 with strong product market fit — in Q4 last year we’ve had to push out onboarding because engineering can’t build quickly enough, something we’ve scaled out of. You’ll be working with an engineering leadership team from AWS and Stripe to get clinicians back to work delivering care for kids.

Email us directly at mallory@camber.health or apply to https://jobs.lever.co/camber
by lastcoyotes | 2025-06-02 18:25:57+00:00
Location: San Francisco, California, USA Remote: Yes, but prefer onsite or hybrid. Willing to relocate: No Technologies: Python, Go, Rust, C, JavaScript, Node.js, React, Nginx, Azure, AWS, MongoDB, GraphQL, Hadoop, YARN, Lisp, Julia, R, Docker, Kubernetes. Résumé/CV: email for resume/cv Email: taboler <@> coyotes [dot] dev

I'm a Software Developer with experience in applied cryptography, general backend and solving bugs in distributed systems. On the side, I develop websites for artists to maintain their portfolios and shop fronts. Definitely flexible as a generalist with a knack for picking up new technologies, exploring new challenges, and not afraid to dive into complex math when the situation calls for it.

Currently working on a designer-oriented application that gives artists more control over typography for their pieces and websites, as it's what I've wanted when I design my own flyers and as an event coordinator in the music industry.
by klntsky | 2025-06-02 18:26:03+00:00
SEEKING WORK | Remote, Part-time | SWE, LLM automation

I want to build LLM chatbots/workflows/agents for others to have some business cases to advance my own set of LLM automation tools. DM me if you have non-critical projects for me to experiment on.

CV: https://klntsky.dev/klntsky-cv.pdf
by spauldo | 2025-06-02 18:26:32+00:00
Is it, though?

I don't particularly want to make life choices based on what's most economically efficient for airlines, but you do you I guess. And while my being fat is definitely a result of my life choices, that's certainly not the case for all of us.

Regardless of what size you believe everyone should be, the airlines have to deal with the size that people actually are. They have made the choice to size their seats in a way that causes this problem. They could have just plastered "no fatties" at the ticket counter, or maybe had a section of seats reserved for fat people at a somewhat higher price point and required people over a certain size to use them, but instead they've chosen to sit us all together. And they do so with the knowledge that judgemental assholes will just blame the fatties instead of them.

But keep playing their game, you appear to be good at it.
by PaulHoule | 2025-06-02 18:26:32+00:00
Got played. Steven Jay Gould was getting funded by the same people who fund legacy admissions, some of whom would find standardized tests being the only barrier they couldn't surmount. Gould paired this interest with the perpetuation of racist ideas ideas about the intellectual inferiority of some groups in such a way that some members of those groups thought they were getting "anti-racist" help.
by weinzierl | 2025-06-02 18:26:37+00:00
"I thoughts LLMs were glorified Markov chain generators"

"the code actually looked pretty good. Not perfect, but I just told the AI to fix things, and it did. I was shocked."

These two views are by no means mutually exclusive. I find LLMs extremely useful and still believe they are glorified Markov generators.

The take away should be that that is all you need and humans likely are nothing more than that.
by peter_ifolio | 2025-06-02 18:27:37+00:00
iFOLIO | Atlanta, GA | ONSITE, possible Remote (US) in EST | Software Engineer III | Full-time

We power digital marketing platforms for GE, Equifax, Madison Square Garden, MLB, major universities, and more.

Looking for an engineer deep in Laravel (PHP) + Node.js, comfortable with MySQL/Mongo, and experienced in scaling backend services. Bonus: experience with Sendgrid, Twilio.

You’ll work across microservices, build performant APIs, and contribute to an enterprise platform used at scale.

Stack: Laravel, Node.js, React, MySQL, MongoDB, AWS Lambda.

Apply: https://ifolio.cloud/software-engineer-iii
Show HN: I made a Web app to watch movies from Archive.org
by stepanvanzuriak | 2025-06-02 18:28:08+00:00
Hello HN!

I’ve always found Archive.org to be an amazing treasure trove of public domain content, but browsing and watching videos there isn’t the most user-friendly experience.

So I built a simple web app that lets you search, watch, and organize Archive.org movies and videos with a clean UI, similar to a basic streaming service.

It supports features like local profiles (no sign-up needed), likes, watched lists, and more.

Would love your feedback, ideas, or contributions.

Source link: https://github.com/stepanvanzuriak/archiveflix
by yorwba | 2025-06-02 18:28:18+00:00
I think it's a case of not coming up with alternative explanations for the observed evidence and hence not designing experiments to distinguish between those explanations.

Their results are consistent with novel reasoning strategies, but they're also consistent with more reliable execution of reasoning strategies that the base model can generate in principle, but rarely succeeds at due to a large number of steps. (If you have a model that can do each step independently with 99% success rate and getting the correct result requires 1000 steps, the chance of making it all the way to the end without a single error is only about 0.004%.)
by blef | 2025-06-02 18:29:03+00:00
nao Labs | [Staff, Senior] AI Engineer | Paris or remote (Europe) | Python, Typescript, React

We are building Cursor for data teams. Using nao, data practitioners can work on data pipelines using AI faster without breaking stuff. nao connects to your data warehouse / lake and helps users give the correct data context to the AI so it does not hallucinate.

What we are looking for: an Senior AI engineer with proven experience on LLM training, fine-tuning, inference and deployment. We have codegen models dedicated for data code (Python and SQL) and we want to be the best at this. In nao, AI powers the chat experience (agent) and the Tab (autocomplete and next action).

We are a YC company and we want to be the next daily tool every data people are using. I can also be a Founding engineer position.

→ https://getnao.io

If interested reach out: christophe [at] getnao.io
by freeqaz | 2025-06-02 18:29:06+00:00
Location: Seattle, WA

Remote: Yes or hybrid

Willing to relocate: No

Technologies: Security, AI, LLMs, AppSec, ex-YC Founder

Resume: https://freeqaz.com

Email: me at (the above domain)

---

I'm a versatile engineer with 15+ years of professional experience now. Ex-(Uber, Snap, YCombinator, Figma).

Actively interviewing but always curious about interesting opportunities. Looking to work more directly with AI and LLMs, as that has been my focus in recent years!
by mrguyorama | 2025-06-02 18:29:20+00:00
Which "Professionals"? Most "military analysts" are literally just former soldiers trading on fake prestige. So which professionals are you getting your ideology from? Were they the same professionals who insisted that US intel was wrong and there's no way the 300k soldiers amassing on Ukraine's border were part of an invasion literally days before they invaded?

>Russian doctrine now includes the use of nuclear weapons (look up 'escalate to de-escalate'), and Russia has threatened their use.

Russian doctrine has always included first strike possibility, and has threatened nuclear war constantly since they ran out of legitimate threats. But these have all been public threats, not actual threats. The intention is to get a country's citizens to reduce their support for Ukraine, not genuinely warn a country's leaders of possible escalation risk.

The day that Russia ACTUALLY goes "no seriously, we will nuke if you do that", average citizens will not hear it. Diplomacy is not conducted through CNN.
by jart | 2025-06-02 18:29:35+00:00
Whenever you put something new you made on the Internet, people will hack and ddos the hell out of it.

In order to put something online and have it stay there, you must possess the will to dominate.

Internet citizenship isn't a right and it's something LLMs won't help you with.

If you can't fight then go back to Facebook where you belong.
by slt2021 | 2025-06-02 18:30:29+00:00
asymmetric warfare can is open now.

Any US adversary must be building sleeper cells in the continental US armed with drones from walmart/bestbuy ready to drop a grenade that will burn big and expensive planes/submarines/aircraft carriers, possibly even rocket silos or other parts of critical infrastructure.

If I were Iran/NK, or China, that would be my top priority, so that I could retaliate if USA attacks first