MurphyA/hacker-news huggingface dataset:
by tensor | 2025-11-03 17:04:52+00:00
I don't think there is any math showing that it's the models size that limits "fact" storage, to the extent these models store facts. And model size definitely does not change the fact that all LLMs will write things based on "how" they are trained, not on how much training data they have. Big models will produce nonsense just as readily as small models.

To fix that properly we likely need training objective functions that incorporate some notion of correctness of information. But that's easier said than done.
by Spooky23 | 2025-11-03 17:04:56+00:00
I agree with you totally, although I'd venture to guess 20% is way too high. I'd say you have about 10% people doing security work, 15% doing compliance, and the rest are consuming oxygen.

It's a growth field, so you have lots of idiots getting certifications and stupid jobs. Reminds me of the 90s when I started, and companies were paying MCSE's (ie read a book, hit next-next-finish in Windows NT) more than software engineers in some markets.
by continua | 2025-11-03 17:05:18+00:00
Continua AI | https://continua.ai | Multiple Roles | ONSITE (NYC/Seattle) | Full-time | Salary + Equity

At Continua (http://continua.ai/), we're on our way to solving Social AI, and we're expanding our team! We've built an AI agent that users can invite into group conversations to make planning, coordination, and information retrieval effortless. We're social creatures and it just seemed to us a huge opportunity to bring AI into group settings. We've seen strong retention over the last few months and want you to help us bring our product to the next level. Try adding our agent at http://continua.ai/ to group chats and kick the tires! https://techcrunch.com/2025/08/12/google-vet-raises-8m-for-c...

I’m David (https://www.linkedin.com/in/dpetrou/), the founder and CEO. Before starting Continua, I was a Distinguished Software Engineer at Google. We’re backed by top-tier VCs (like GV) and incredible angel investors (like Jeff Dean). Our team is a fantastic bunch (http://continua.ai/team) of accomplished engineers and researchers from Google, Disney, and several AI startups. We're pretty clued in on the technology side and have a strong vision of how the transformative technology of the last few years along with our own secret sauce (not just a ChatGPT wrapper) can help a huge number of people.

We’re hiring systems and ML engineers: https://jobs.ashbyhq.com/continua/

You'll work on building and improving the best LLM group chat experience there is, including fine-tuning models to boost conversational quality and improve scalability and identifying novel ways to build a "memory" which leads to a personalized and unique experience for our users. You understand what it means to work at a fast-moving startup.

Oh, and we maintain a vibrant blog, including items of technical interest, at http://blog.continua.ai/. Check it out! :)

David
by treis | 2025-11-03 17:05:20+00:00
Practically, it doesn't matter like it didn't matter for Google that storage got many orders of magnitude cheaper. By the time training a novel LLM and serving it to a billion users is trivial in the way that providing 1GB of email storage is today there will be other moats. They'll have decades of user history and a monitization framework that will be hard to overcome.

Google is a viable competitor here.

Everyone else is missing part of the puzzle. They theoretically could compete but they're behind with no obvious way of catching up.

Amazon specifically is in a position similar to where they were with mobile. They put out a competing phone but with no clear advantage it flopped. They could put out their own LLM but they're late. They'd have to put out a product that is better enough to overcome consumer inertia. They have no real edge or advantage over OpenAI/Google to make that happen.

Theoretically they could back a competitor like Anthropic but what's the point? They look like an also ran these days and ultimately who wins doesn't affect Amazon's core businesses.
by jimangel2001 | 2025-11-03 17:05:54+00:00
Nextcloud is a mess. It tries to do everything. The only reason I keep it in production is because it's a hustle to transition my files and DAVx info elsewhere.

The http upload is miserable, it's slow, it fails with no message, it fails to start, it hangs. When uploading duplicate files the popup is confusing. The UI is slow, the addons break on every update. The gallery is very bad, now we use immich.
by Brian_K_White | 2025-11-03 17:05:57+00:00
There is no such partial or mixed exe problem from paging.

It doesn't matter if it was paged out, virtual memory is still just memory.

Paging out & restoring some memory doesn't know or care where the contents originally came from. It doesn't have an optimization that goes "Oh this chunk of memory is an executable file. I can skip writing this out to the swap file, and later when I need to restore it I can just read the original file instead of swap."

For files that a program opens, an open handle is an open handle. The entire file is available in whatever state it was at the time the handle was opened, modulo whatever changes this specific handle has made.

If a program closes and re-opens handles, then it always knew that the entire world could have changed between those 2 opens. Same if it opens non-exclusive. If it opens without exclusive or closes & reopens, then it's ok for the data to change between each access.

There are problems during updates, but they are much higher level and safer than that. Open file handles are open file handles, and currenly loaded exes are consistent and sane until they close. All the problems are in the higher level domains of processes interacting with each other.
by _jsmh | 2025-11-03 17:06:48+00:00
"False or misleading answers from AI chatbots masquerading as facts still plague the industry and despite improvements there is no clear solution to the accuracy problem in sight."

One potential solution to the accuracy problem is to turn facts into a marketplace. Make AIs deposit collateral for the facts they emit and have them lose the collateral and pay it to the user when it's found that statements they presented were false.

AI would be standing behind its words by having something to lose, like humans. A facts marketplace would make facts easy to challenge and hard to get right.

Working POC implementation of facts marketplace in my submissions.
by resiros | 2025-11-03 17:06:56+00:00
TL;DR

>I'll preface this by saying that neither of us has a lot of experience writing Python async code

> I'm actually really interested in spending proper time in becoming more knowledgeable with Python async, but in our context you a) lose precious time that you need to use to ship as an early-stage startup and b) can shoot yourself in the foot very easily in the process.

The best advice for a start-up is to use the tools that you know best. And sometimes that's not the best tool for the job. Let's say you need to build a CLI. It's very likely that Go is the best tool for the job, but if you're a great Python programmer, then just do it in Python.

Here's a clearer case where the author was not very good with Python. Clearly, since they actually used Django instead of FastAPI, which should have been the right tool for the job. And then wrote a blog post about Python being bad, but actually it's about Django. So yeah, they should have started with Node from day one.
by pfannkuchen | 2025-11-03 17:07:12+00:00
Well, morality isn’t universal. It’s basically a distributed operating system for large human groups. Different operating systems exist.

The modern western morality is different from Christianity in a lot of ways. So, yes, a person executing classical Christian morality would shame for those things and consider them wrong. I’m an atheist so I don’t have to agree with them, and I didn’t make their rules, that’s just what they are.

I’m also not claiming that Christianity enforcing a morality would make better “people”. It would just make better (i.e. more consistent and less hypocritical) “Christians”.
Efficient LLMs: how active is this research area today?
by SergiuNistor | 2025-11-03 17:07:14+00:00
Hey everyone!

I’ve been exploring the idea of building efficient large language models — ones optimized for memory use and inference speed, especially for real-time and edge deployment.

I’ve come across concepts like Hierarchical Reasoning Models and Tiny Recursive Models, which seem strong on reasoning benchmarks like ARC-AGI, but don’t appear to have been applied to language generation yet.

I’ve also looked into spiking neural networks, which look promising in theory but still seem to struggle with more complex tasks.

Curious if the area of efficient LLMs is still an active area of research.

Would love to hear your thoughts and connect with anyone interested in this space!
by apparent | 2025-11-03 17:07:30+00:00
> Want to fiddle with the temperature? Ask Siri to do it. It’s an Apple lover’s dream and a car company’s worst nightmare.

The last thing I want is to have a feature that doesn't work well and that leads to finger-pointing between Apple and the car maker. And considering how lousy Siri is in general, I would expect this feature to not work well.
by pier25 | 2025-11-03 17:07:45+00:00
I would have picked Hono and Drizzle. In part because of the great TS support but also Hono is much faster than Express and supports Zod for validation out of the box. This stack would also allow to use any other runtime (Deno, Bun, or Cloudflare Workers).

Given they used TS and performance was a concern I would also question the decision to use Node. Deno or Bun have great TS support and better performance.
by subleq | 2025-11-03 17:07:48+00:00
Fusionbox | Python + TypeScript Engineers | United States| Full-time | REMOTE (Legal to work in the US)

We're a software engineering consultancy that builds enterprise software the right way. We negotiate the right to open source all our client code, maintain a handful of popular libraries, and our engineers contribute to Django core. We sponsor PyCon, DjangoCon, and Django Girls because we're invested in the ecosystem we build on.

We're looking for software engineers who value software design, system architecture, and collaboration. You should be comfortable with about half of these areas and eager to learn the rest: web application security, relational database design (PostgreSQL, beyond "SELECT *..."), Django internals, React, and distributed systems. What you'll actually work on: complex state machines for financial workflows, multi-tenant architectures with row-level security, custom database functions when the ORM isn't enough, and React frontends that handle real-time data without being a mess of useEffect hooks.

We're a small team where you'll own features end-to-end (database design to React components) and have opportunities to shape technical decisions. You'll get paid to write source code with a team that practices empathy and values work-life balance. If you've ever wished your job involved more elegant state machines and fewer marketing landing pages, let's talk: info@fusionbox.com.
by kotaKat | 2025-11-03 17:07:58+00:00
I’m pissed that Google has sneakily, forcefully won the in-car battle with Android Automotive.

Android users win regardless in this fight - even though they won’t have Android Auto anymore, they can “just” use the built in Google suite on AAOS/Google Automotive and have their native Android apps on the car itself.

Apple loses out end to end in the automotive industry at this point with vendors both ditching Carplay and abandoning Carplay Ultra in their vehicles while praising how great Google in the car is.

I really don’t want to have to have a Google Account in my car (not even a ‘burner’), but it looks like that’s the direction so many are gonna push us, it’s not even funny.
by JCM9 | 2025-11-03 17:08:13+00:00
And these GPUs aren’t sitting idle either. Nobody is questioning that they “need” the compute, it’s the lack of a viable business model to pay for all this long term that has folks worried.

That’s the same as what happened when WeWork was buying up office space pre-pandemic and then using handwavy nonsense like “Community Adjusted EBITDA” as part of the smoke and mirrors to pretend like there was an actual business there.

The pandemic expedited the pain, but the business model was broken and folks called BS long before Covid hit.
by stonecharioteer | 2025-11-03 17:08:17+00:00
Chatwoot | React Native Developer | Remote (India) https://chatwoot.com

Chatwoot is a modern customer support tool for your business with an integrated AI assistant, omnichannel support desk, and knowledge base. We aim to provide everything you need for seamless customer support, all in one place.

We are hiring a React Native Developer. We are a tight, efficient team based out of India. We work fully remote and prefer strong self-starter who know how to elaborate their thoughts in an async environment. Our backend is in Ruby on Rails, our front end is in Vue, and we are hiring a React Native Developer to help maintain and improve our mobile app. Details here [1]

1 - https://chatwoot.notion.site/React-Native-Developer-288a5f27...
by lotsofpulp | 2025-11-03 17:08:24+00:00
Effective tax rates are not that easy to compare.

In fact, the portion of a US health insurance premiums IS a tax, based on your age! Not to mention the myriad ways tax policy (including the age rating factors that cause young people to pay a tax via their health insurance premium) vary among not only the 50 states, but the smaller jurisdictions within the states.

https://news.ycombinator.com/item?id=45800973

https://www.healthcare.gov/how-plans-set-your-premiums/
by gerad | 2025-11-03 17:08:39+00:00
Gladly | Remote (US, Colombia, Argentina) | Staff Software Engineer, AI & Automation | $60k–$215k + Equity | https://www.gladly.ai/careers

Gladly is at the forefront of building retail customer service AI. Our AI is live in production with customer-centric brands like Crate & Barrel, Ulta Beauty, and Allbirds. We have the ingredients that make AI work: rich data, close customer partnerships, and a strong engineering culture.

We're hiring Senior & Staff Software Engineers to lead major AI & Automation initiatives. This is a high-impact, hands-on role for someone who wants to ship fast, collaborate deeply, and build systems that help real people.

You should have:

- 5-10+ years of full-stack experience (Go, TypeScript, React, Postgres a plus)

- Experience with generative AI, multi-agent systems, RAG pipelines (can be personal projects / side projects)

- A bias toward impact and product thinking

- Excellent collaboration and communication skills

Bonus: Entrepreneurial or other leadership experience.

We're a remote-first company with competitive pay, meaningful equity, and a focus on doing real work with great people.

Learn more + apply: https://www.gladly.ai/careers

Or reach out directly: gerad@gladly.ai
by jackblemming | 2025-11-03 17:08:41+00:00
When they start moving away from API calls to third parties to their own embeddings or AI they’re in for a bad time.

What’s going to end up happening is they’ll then create another backend for AI stuff that uses python and then have to deal with multiple backend languages.

They should have just bit the bullet and learned proper async in FastAPI like they mentioned.

I won’t even get started on their love of ORMs.
by filoleg | 2025-11-03 17:08:47+00:00
And also (an incompetent and lazy) lawyer’s worst nightmare.

At least once a week, there is another US court case where the judge absolutely rips apart an attorney for AI-generated briefs and statements featuring made-up citations and nonexistent cases. I am not even following the topic closely, and yet I just encounter at least once a week.

Here are a couple most recent ones I spotted: Mezu v. Mezu (oct 29)[0], USA v. Glennie Antonio McGee (oct 10)[1].

0. https://acrobat.adobe.com/id/urn:aaid:sc:US:a948060e-23ed-41...

1. https://storage.courtlistener.com/recap/gov.uscourts.alsd.74...
by malux85 | 2025-11-03 17:08:49+00:00
Me too, once you’ve had a lot of practice with it (like anything) and know how to mitigate some of its weaknesses, then it’s a superpower.

I currently pay 200 USD a month for AI, and my company pays about 1,200 USD for all employees to use it essentially unlimited - and I get AT LEAST 5x the return on value on that, I would happy multiply all those numbers by 5 and still pay it.

Domain knowledge, bug fixing, writing tests, fixing tests, spotting what’s incomplete, help visualising results, security review generation for human interpretation, writing boilerplate, and simpler refactors

It can’t do all of these things end to end itself, but with the right prompting and guidance holy smokes does it multiply my positive traits as a developer
by calflegal | 2025-11-03 17:09:00+00:00
I built an iOS App with claude code. I really don't know any swift myself. The app is a couple of small musical games (it's called music mini games). I've got _very few_ users.

What surprised me most is that, now more ever, distribution really is king. An app I released in the same space !11 years ago! gets more daily downloads. I expect these trends to accelerate with the amount of software being shipped with AI.

"If you build it, they will come" has never been less true.

I do really believe in product led marketing, though. I'm not yet fully convinced my app is good enough to get tons of word of mouth referrals. Hopefully one day.

If you're still here, here's the app: https://apps.apple.com/us/app/music-mini-games/id6752395649
by timgl | 2025-11-03 17:09:04+00:00
PostHog | Full-Time | Product engineers, backend engineers, Technical AMs | REMOTE (all remote) | Hiring GMT-8 to GMT+2

PostHog equips devleopers to build successful products by combining product analytics, feature flags, session replay, a data warehouse, CDP and many more.

* we have a public handbook (posthog.com/handbook) if you want to learn how we work, pay and more in complete detail.

* we are growing through more autonomy and transparency not through process.

* we have a ton of scale and a bunch of super interesting technical problems to solve

* we're building 20 more products over the next couple of years, so you could end up building one of those

* we need: product engineers, clickhouse operations engineer, backend engineers, AI product engineers, technical account managers and technical customer success managers.

https://posthog.com/careers
by andrewmcwatters | 2025-11-03 17:09:24+00:00
I've noticed that instead of defining requires at the top of Lua files, if you can know your own program well enough, defining them right before the dependency is actually used makes large Lua programs much, much quicker. Generally speaking, startup times can be a sped up by a meaningful factor.

I suspect this change in Python will dramatically improve the performance of such large programs as well.
by kolinenglish | 2025-11-03 17:09:37+00:00
Location: Charlotte, NC Remote: Yes Willing to relocate: No Technologies: Project Management (PMO), Microsoft Project, Jira, Confluence, Notion, OneNote, Asana, Office 365, Azure AD Résumé/CV: https://drive.google.com/file/d/1afz8JUTyHKVu4i8EXkr31Fc7VNj... Email: kolinenglish1994@gmail.com
by ciju | 2025-11-03 17:09:50+00:00
Sorry, we are not open-source. Also, it's free to use till beta :) although there would be a free plan even after that. We don't plan to open source it till we have enough momentum to support ourselves with the project. This is for profit project. Your data is yours but the software is ours, till the revenue supports us. After which we do plan to open-source it.
by zgm | 2025-11-03 17:10:45+00:00
Annex | Backend + Data Engineer | Bay Area, Austin | Full-time

The cost of homeowners insurance, especially in natural catastrophe prone areas, has skyrocketed in recent years. Annex is solving this problem with better digital infrastructure for executing the transaction. Our platform enables insurance agents to quote and bind policies within 90 seconds vs. the current multi-day phone/email/fax-based transaction that is the status quo.

We grew revenue 6x last year and should end 2025 having grown 3-4x. We've done the above after deploying <$1.5m in funding. We have significant and growing momentum on both the insurance distribution and insurance capital sides of our business; our challenge now is scaling our engineering team to support that progress.

We're in that exciting early stage, where someone can contribute foundational new pieces to core parts of our platform.

More details at:

Data Engineer: https://wellfound.com/jobs/3509845-software-engineer-data-en...

Backend Engineer: https://wellfound.com/jobs/3060211-software-engineer-backend
by perklone | 2025-11-03 17:11:02+00:00
Location: Jakarta, Indonesia

Remote: Yes

Willing to relocate: If needed

Technologies: Rails, Swift, Python (FastAPI), Scala, MySQL, MariaDB, AWS, Retool

Résumé/CV: https://drive.google.com/file/d/1sUNgSQwENIMkDMUXaZdXk2xLmJD...

Github: https://github.com/Perklone

LinkedIn: https://www.linkedin.com/in/rizky-maulana01/

Email: mrizky9601@gmail.com

I'm open to both part-time contract and full-time roles. At $WORK, I'm on the Developer Experience (DevEx) team, focusing on performance tuning for our core Rails application and building internal tools for other departments using Retool.

I'm comfortable working full-remote, I'm also a fast learner and eager to pick up new tech stacks as needed. I learned Rails on the job for this current role, which I actually found right here on HN!
by frmersdog | 2025-11-03 17:11:03+00:00
I got paid $11 an hour to enter handwritten applications into a database, as a temp job back in the early 2010s. It was "low-skill" inasmuch as, "Locking in and moving efficiently through entire filing cabinets of forms, often written by people whose first script was not Latin, for 6-7 hours straight, every weekday, for 2 months, with no prior training," is "low-skill" (and I apparently did it much faster than my supervisors expected). $11/hr was less than it should have paid, and yet I have to commend the company I was working with, because they sourced local labor and paid still multiple times what the job would have commanded through outsourcing via Mturk.

The conditions you're describing were caused by the systemic globalist status quo that Mturk is a part of; Mturk did not fix that, it perpetuated it.
by mike_d | 2025-11-03 17:11:03+00:00
Everyone is. The grids always had a problem supplying enough power to even modestly sized commercial datacenters. This is what kicked off the trend of companies building their own datacenters in obscure cities that used to house large steel mills or other power hungry businesses.

I remember when everyone was racing to produce "datacenter in a shipping container" solutions. I just laughed because apparently nobody actually bothered to check if you could actually plug it in anywhere.
by mikkupikku | 2025-11-03 17:11:19+00:00
I doubt that could ever work. It's trivial to get these models to output fabrications if that's what you want; just keep asking it for more details about a subject than it could reasonably have. This works because the models are absolutely terrible at saying "I don't know", and this might be a fundamental limitation of the tech. Then of course you have the mess of figuring out what the facts even are, there are many contested subjects our society cannot agree on, many of which don't lend themselves to scientific inquiry.
by tracker1 | 2025-11-03 17:11:22+00:00
I probably would have pushed for Hono as the underlying framework... That said, I've been a fan of Koa/Oak over Express for a very long time. For API usage, the swagger+zod integration is pretty decent, though it changes the typical patterns a bit.

All-in, there's no single silver bullet to solving a given issue. Python has a lot of ecosystem around it in terms of integrations that you may or may not need that might be harder with JS. It really just depends.

Glad your migration/switch went relatively smoothly all the same.