MurphyA/hacker-news huggingface dataset:
by ben_w | 2025-12-01 18:46:07+00:00
Palestine Action were proscribed for a level of violence ("property damage" against the RAF, vandalised aircraft, which makes it sound worse than it is because it was spray paint in the engines) that had previously been considered acceptable.

But "peaceful"? A protest on 6 August 2024 resulted in a charge of grievous bodily harm after an activist allegedly struck a police officer with a sledgehammer, and a protest on 16 March 2025 resulted in three activists being charged with one count each of assault by beating.

I get why they're doing this, but if I'm going to call the Jan 6 thing in Washington DC "attempted coup" (which I do), I have to also say this is not "peaceful".
by dakshgupta | 2025-12-01 18:46:29+00:00
Greptile | Software Engineer (junior, senior, staff)| San Francisco ONSITE | https://greptile.com

Greptile is building AI agents that catch bugs in pull requests. Over 2,000 teams including Brex, Whoop, and Substack use Greptile to review nearly 1B lines of code every month.

We're a team of ~20 in San Francisco, working on things like better agent evals and sandbox execution environments.

We've raised $30M to date, including our recent Series A led by Benchmark.

Stack: Typescript

Open roles: greptile.com/careers

Salary ranges: $140k-270k base (depending on seniority) + $40-100k/yr equity
by thomas-arcol | 2025-12-01 18:47:00+00:00
Arcol | Senior Software Engineer | NYC, SF, or Remote (US/Canada) | Full-time

Arcol (arcol.io) is a small, high talent density team building the future of building design - a future that's collaborative, fast, and intuitive. We're a web-native, fully collaborative 3d design tool modernizing the experience of architectural design for teams of all sizes.

We're looking for senior engineers with experience in modern web technologies - some of our key technical building blocks are Typescript, Rust, wasm, WebGL - and a strong ownership mindset. Experience with computational geometry, computer graphics, or similar a strong plus. This role sits at the intersection of solving deep technical foundational challenges with shipping a product that solves real problems for real people.

Reach out to me directly at thomas@arcol.io or peruse our careers page (https://www.arcol.io/careers) - we'd love to hear from you!
by prisenco | 2025-12-01 18:47:07+00:00
Location: New York City

Remote: Open (Chicago, LA or SF preferred)

Willing to relocate: No, frequent travel ok

Technologies: https://prisen.co

Résumé/CV: https://www.linkedin.com/in/michael-chisari-973074a8/

Email: tech@prisen.co

-----

I'm primarily a startup contractor but open to a FTE founding engineer position with the right early stage startup. I'm flexible on salary but equity only is not an option. Open to Fractional CTO with the right pitch.

25+ years of experience in software development and been with the web since the early days.

15+ years in the startup space and nearly a decade building for non-profits before that. I can bring a breadth of experience that few can.

My preferred stack is Golang, HTML+CSS+JS and Sqlite but I have years of experience with Nodejs, React, Typescript, MySQL, Postgres, MongoDB, etc. Years ago I used PHP for over a decade then moved on and way back when I started out with Perl, Apache and Oracle.

Being an early-stage "one man army" contractor, I have a working understanding of ux/ui design, sysadmin and data science so I can fill those gaps when needed.

Been learning about diffusion models for a year now and would love to work in that space.

Drop an email or if you're in or near Manhattan, let's meet for coffee and talk shop.

Michael

tech@prisen.co
by alephnerd | 2025-12-01 18:47:30+00:00
Even an open platform would do nothing. If you are a suspect, your phone would be checked in person (India doesn't have the concept of the 4th Amendment, and police demanding physical access to your phone during a search is routine) and if you were using something like GrapheneOS, it would be used as evidence against you. Indian law enforcement has already used access to Signal and Telegram as circumstantial evidence in various cases, and it's a simple hop to create a similar circumstantial evidence trail with someone using GrapheneOS.

And anyhow, major Android vendors like Samsung have aligned with the policy as well.
by alex7734 | 2025-12-01 18:47:40+00:00
> Helpfully eSports players tend to have video captures of their gameplay, and most of these "undetectable" cheats are real obvious if you actually watch the footage. That catches most of the serious stuff at the upper level. It's why video verification has been a thing in the speedrunning scene for such a long time.

There's a subreddit called /r/vacsucks which is full of pro players blatantly cheating and getting away with it while the rest of the idiots think they're just good players.

Or, depending on your point of view, full of idiots flagging any player better than they are as cheating.

Aimbots can be "humanized" enough that any such determination becomes subjective.
by observationist | 2025-12-01 18:47:42+00:00
Understanding is the thing that happens when your neurons coalesce into a network of signaling and processing such that it empowers successful prediction of what happens next. This powers things like extrapolation, filling in missing parts of perceived patterns, temporal projection, and modeling hidden variables.

Understanding is the construction of a valid model. In biological brains, it's a vast parallelized network columns and neuron clusters in coordinated asynchronous operation, orchestrated to ingest millions of data points both internal and external, which result in a complex and sophisticated construct comprising the entirety of our subjective experience.

LLMs don't have the subjective experience module, explicitly. They're able to emulate the bits that are relevant to being good at predicting things, so it's possible that every individual token inference process produces a novel "flash" of subjective experience, but absent the explicit construct and a persistent and coherent self construct, it's not mapping the understanding to the larger context of its understanding of its self in the same way humans do it. The only place where the algorithmic qualities needed for subjective experience reside in LLMs is the test-time process slice, and because the weights themselves are unchanged in relation to any novel understanding which arises, there's no imprint left behind by the sensory stream (text, image, audio, etc.) Absent the imprint mechanism, there's no possibility to perpetuate the construct we think of as conscious experience, so for LLMs, there can never be more than individual flashes of subjectivity, and those would be limited to very low resolution correlations a degree or more of separation away from the direct experience of any sensory inputs, whereas in humans the streams are tightly coupled to processing, update in real-time, and persist through the lifetime of the mind.

The pieces being modeled are the ones that are useful. The utility of consciousness has been underexplored; it's possible that it might be useful in coordination and orchestration of the bits and pieces of "minds" that are needed to operate intelligently over arbitrarily long horizon planning, abstract generalization out of distribution, intuitive leaps between domains that only relate across multiple degrees of separation between abstract principles, and so on. It could be that consciousness will arise as an epiphenomenological outcome from the successful linking together of systems that solve the problems LLMs currently face, and the things which overcome the jagged capabilities differential are the things that make persons out of human minds.

It might also be possible to orchestrate and coordinate those capabilities without bringing a new mind along for the ride, which would be ideal. It's probably very important that we figure out what the case is, and not carelessly summon a tortured soul into existence.
by elpakal | 2025-12-01 18:47:56+00:00
Hello, I'm a former Staff Engineer branching out to help law firms and attorneys with AI product development and assessments. Looking for partners in the legal space who want to build the next big thing in legaltech or need help understanding how to best adopt AI in the legal space.

Location: Golden, CO Remote: Onsite, remote, or hybrid are all okay. Willing to relocate: Negotiable Technologies: AI / PyTorch / Tensorflow / Typescript / Next.js / AWS / Node.js / Vercel / Swift / iOS / macOS Résumé/CV: https://fractional-engineer.com Email: kenny@ndukt.com
by bluGill | 2025-12-01 18:48:02+00:00
The large baby boomer generation is getting old, and thus their costs will go up just by nature of old people needing more. They are also realizing that health is the largest factor in how long they will live (not to mention that they likely started smoking before people realized how harmful it was - most have long quit but with unknown damage done. There are other choices that they often made that are now questionable)

Which is to say I expect spending to go up just for demographic reasons of large numbers of people starting to care. Don't confuse this for thinking all is well with health care costs.
by bee_rider | 2025-12-01 18:48:32+00:00
> Ruby attracts a particular kind of person. Not better. Not smarter. Just… different. People who care how code feels to write and read. People who see programming as a craft that can be expressive. People who understand that most of our careers are spent living inside someone else’s decisions, so joy isn’t a luxury… it’s the only way this work stays humane.

The idea that caring about how your programs feel to write or read is somehow “different” seems weird to me. I don’t write Ruby so maybe I just don’t appreciate this difference.

But I mean, I write fun-to-write, silly little experiments in Octave, Fortran, and Python… I don’t know if anyone would enjoy reading them, but I don’t really see how a language could prevent you from finding joy in programming (other than Java of course /s).
by doctorpangloss | 2025-12-01 18:48:36+00:00
What’s the maximum price you’d pay for a cure to a rare, fatal pediatric disease?

Answer this question, and you’re on the journey to the solution to the problem you are talking about. Tell me some BS why the question doesn’t matter or is wrong or whatever, and discover why “Dunning Kruger” is at least part of the answer.
by AJ007 | 2025-12-01 18:48:50+00:00
The problem is the reverse of what is being argued here. The stakes are high because of how much money these companies are making off of DLCs/in-app purchases. The game operator thus has an incentive to ensure that high value customers can't be banned by third parties. Instead of just being banned, the player is suspended 24 hours or something, and then they come back.
by arthurfirst | 2025-12-01 18:48:53+00:00
If I had gone with the flow in 1995 I would have got my MCSE and worked for a big government bureaucracy.

Instead I found Linux/BSD and it changed my life and I ended up with security clearances writing code at defense contractors, dot com startups, airports, banks, biotech/hpc, on and on...

Exactly right about Github. Facebook is the same for training on photos and social relationships. etc etc

They needed to generate a large body of data to train our future robot overlords to enslave us.

We the 'experienced' are definitely not their target -- too much independence of thought.

To your point I use an old flip phone an voip even though I have written iOS and android apps. My home has no wifi. I do not use bluetooth. There are no cameras enabled on any device (except a camera).
by keepamovin | 2025-12-01 18:49:15+00:00
Hmm, I'm not sure that's true. The 30cm Zn-something tube generates mcirovolts (1e-6), but you can imagine longer, and more, such tubes. With volume (width x depth x height) you can quickly scale up to 1000s of volts or more.

THat's just 1 experiment!
by georgeburdell | 2025-12-01 18:49:23+00:00
Anecdotally, in my corner of the Silicon Valley, I've been looking to trade up homes from my 7/10 district to a nearby 10/10. Over the last year, I've seen the comparable properties in 10/10's rise about 10%, while my 7/10 has gone down about 5%. Both areas are very short commutes to high tech.
by harmmonica | 2025-12-01 18:49:40+00:00
A drop in housing prices might be the only silver lining if an actual recession hits (whether the official statistics will actually admit to a recession is debatable of course).

That said, even if housing prices drop materially and eventually bottom it will provide little opportunity for "normal" folks to buy in if they're jobless. Will be interesting to see if Fed interest rate cuts translate to mortgage rate cuts, and whether those rate cuts lessen any price drops.

I've said this before on here, but the historical price-to-income for housing has been something like 4x. Today it's 7x (that is as insane as it sounds). A long way to revert to the mean unless you really think "this time is different."
by CharlesW | 2025-12-01 18:50:12+00:00
JXL's war is not with AVIF, which is already a de-facto standard which has near-universal browser support, is enshrined as an Apple image default, will only become more popular as AV1 video does, etc. It's not going anywhere.

That's not to say that JXL is bad or going away. It currently has poor browser support, but it's now finding its footing in niche use cases (archival, prosumer photography, medical), and will eventually become ubiquitous enough to just be what the average person refers to as "JPEG" 10 years from now.

To address selected claims made in the post:

• "AVIF is 'homegrown'" – AVIF is an open, royalty-free AOMedia standard developed by the Alliance for Open Media (Google, Microsoft, Amazon, Netflix, Mozilla, etc.).

• "AVIF is 'inferior'" – AVIF is significantly better than JPEG/WebP in compression efficiency at comparable quality, and comparable with JXL in many scenarios.

• "AVIF is ridiculous in this aspect, capping at 8,193×4,320." — JXL's theoretical maximum image size is bigger. The author cites AVIF's Baseline profile (think embedded devices), but AVIF supports 16,384×8,704 per tile. It HEIF container format supports a grid of up to 65,535 tiles (so logical images sizes up to 1,073,725,440 wide or 283,111,200 tall).

So, JPEG XL is good. Yes, it's far behind AVIF in terms of adoption and ecosystem, but that will improve. AVIF is likely to erase any current JXL quality advantages with AV2, but both JXL and AV1/AV2 encoders will get better with time, so they're likely to be neck-and-neck in quality for the foreseeable future.
by monocasa | 2025-12-01 18:50:15+00:00
A lot of the RISC architectures do something similar (sign extend rather than zero extend) when using 32 ops on a 64 bit processor. MIPS and PowerPC come to mind off of the top of my head. Being careful about that in the spec basically lets them treat 32-bit mode on a 64-bit processor as just 'mask off the top bits on any memory access'. Some of these processors will even let you use 64bit ops in 32bit mode, and really only just truncate memory addresses.

So the real question is why does x86 zero extend rather than sign extend in these cases, and the answer is probably that by zero extending, with an implementation that treats a 64bit architectural register as a pair 32bit renamed physical registers, you can statically set the architectural upper register back on the free pool by marking it as zero rather than the sign extended result of an op.
by rvz | 2025-12-01 18:50:24+00:00
We were already in one following the tech correction since Nov 2021. [0]

The problem here is some waited for too long to be told we are now in a recession, then some politicians tried to redefine it.

But that is nothing compared to what will happen in the next 5 - 10 years. Nothing goes up forever. The only hint is that we need to prepare before 2030.

[0] https://news.ycombinator.com/item?id=29508238
by foogazi | 2025-12-01 18:50:29+00:00
The bubble argument was hard to wrap my head around

It sounded vaguely like the broken window fallacy- a broken window creating “work”

Is the value of bubbles in the trying out new products/ideas and pulling funds from unsuspecting bag holders?

Otherwise it sounds like a huge destruction of stakeholder value - but that seems to be how venture funding works
by rhdunn | 2025-12-01 18:50:37+00:00
For just the model itself: 4 x params at F32, 2 x params at F16/BF16, or 1 x params at F8, e.g. 685GB at F8. It will be smaller for quantizations, but I'm not sure how to estimate those.

For a Mixture of Experts (MoE) model you only need to have the memory size of a given expert. There will be some swapping out as it figures out which expert to use, or to change expert, but once that expert is loaded it won't be swapping memory to perform the calculations.

You'll also need space for the context window; I'm not sure how to calculate that either.
by espadrine | 2025-12-01 18:50:49+00:00
Two aspects to consider:

1. Chinese models typically focus on text. US and EU models also bear the cross of handling image, often voice and video. Supporting all those is additional training costs not spent on further reasoning, tying one hand in your back to be more generally useful.

2. The gap seems small, because so many benchmarks get saturated so fast. But towards the top, every 1% increase in benchmarks is significantly better.

On the second point, I worked on a leaderboard that both normalizes scores, and predicts unknown scores to help improve comparisons between models on various criteria: https://metabench.organisons.com/

You can notice that, while Chinese models are quite good, the gap to the top is still significant.

However, the US models are typically much more expensive for inference, and Chinese models do have a niche on the Pareto frontier on cheaper but serviceable models (even though US models also eat up the frontier there).
Show HN: I built a tool to fix the problem in LLM replies
by rocksalad | 2025-12-01 18:51:19+00:00
Hi HN,

I've been using LLMs to help draft replies and content, but I hit a wall: the "default" voice of standard models is painfully obvious. It’s always too cheerful, uses emojis incorrectly, and loves words like "delve" and "testament."

I realized I was spending more time editing the AI's output to sound like me than it would take to just write the thing myself.

So I built PostOwl to solve the "Style Alignment" problem.

How it works: Instead of a generic wrapper, it uses your previous posting history to build a style profile. When you generate a reply, it dynamically injects your specific vocabulary, sentence length patterns, and tonal constraints into the context window (using a mix of RAG and few-shot prompting) to force the model to mimic your syntax.

The Challenge: It’s effectively a "Doppelgänger-as-a-Service." The hardest part has been balancing the speed of generation with the accuracy of the style mimicry.

I’d love feedback on the output quality. Does it actually sound human, or just like a "pirate mode" version of ChatGPT?

(It has a free tier, no credit card required. I'm just looking for load testing and feedback on the prompts right now.)
by ekjhgkejhgk | 2025-12-01 18:51:28+00:00
> But will lower demand coupled with still high interest rates actually lead to reduced housing prices?

One theory says that either lower employement causes lower demand and therefore lower interest rates OR lower employement causes the FED to lower interest rates to stimulate spending, and in EITHER case the response to your premise of "low employement + high interest rates" should be "interest rates will come down", and separately "low employment implies low demand implies house prices will come down".
by nikcub | 2025-12-01 18:51:55+00:00
> But I don’t know anyone non-technical who has ditched ChatGPT as their default LLM.

Google are giving away a year of Gemini Pro to students, which has seen a big shift. The FT reported today[0] that Gemini new app downloads are almost catching up to ChatGPT

[0] https://www.ft.com/content/8881062d-ff4f-4454-8e9d-d992e8e2c...
by potato3732842 | 2025-12-01 18:52:02+00:00
>Answer this question, and you’re on the journey to the solution to the problem you are talking about. Tell me some BS why the question doesn’t matter or is wrong or whatever, and discover why “Dunning Kruger” is at least part of the answer.

I posit that the people who hold an ideology, moral compass, world view, or whatever else you want to call it, that permits the question to even be framed in this way are a root problem exacerbating many other problems in society, healthcare likely being one.

I don't know what the "solution" is but the fact that ~1:5 dollars in this country is spent on maintenance of the human body is just wild and likely unsustainable or indicative of some gross error in how we measure such things.
by Groxx | 2025-12-01 18:52:26+00:00
To be clear: I completely believe that Premium is a major source for many people. 100%. I just haven't seen many examples of it, outside tubers that have zero sponsorships (because they're small and/or not doing the low-value slightly-shady ones that get spammed everywhere). I'm thrilled that Premium seems to pay relatively well, it's better for everyone to move away from ads where possible.

LTT though is a rather significant outlier in terms of subscribers (16.6 million right now). For truly large channels it's reasonable for the equation to be different.

And the equation for them really is different. They're a company with ~100 employees¹ and YouTube and video sponsorships came out to just 11.6% (ads AND premium) and 9.2% respectively of their multi-person company income. People claiming "SponsorBlock steals from creators" aren't talking about LTT, they're talking about smaller creators for whom YouTube stuff is a majority of their income.

Plus, like. Ads+premium lumped into one. It wouldn't surprise me if premium was lower than sponsorships.

1: https://en.wikipedia.org/wiki/Linus_Media_Group
Show HN: Music Visualizer with Animated Colorful Themes Configured via ChatGPT
by sylwekkominek | 2025-12-01 18:52:59+00:00
I built an open source real-time music visualizer that lets you create animated color themes simply by describing them with natural language prompts. ChatGPT helps convert your descriptions into live visual styles. The visualization is fully customizable and powered by DSP and GPU shaders.

The app creates configuration files in the folder: C:\Users<YourUser>\Documents\NotYetAnotherSpectrumAnalyzer\config You can open those files, copy their contents into ChatGPT, and generate a completely new color theme based on your prompt.
by pmontra | 2025-12-01 18:53:05+00:00
> Culture doesn’t reliably reward the serious. Neither does business. It rewards the resonant. The clear. The human. The work that connects.

Culture maybe, but business rewards what make business going on. Only that and Ruby proved that it can make businesses start and keep them going on. The few ones that exceed the capabilities of the runtime had to pivot to something else, in part or completely, but would we had a Twitter if they started coding in pick-your-favorite-serious-language? Maybe a competitor would have overrun them. We'll never know.

What I know for sure is that Ruby has been paying my bills for nearly 20 years. That's more than any other language I used, serious or not serious. It worked for me.