MurphyA/hacker-news huggingface dataset:
by philsnow | 2025-12-05 07:05:48+00:00
> a strategy-less map

I only really played ut2k4 not 99, but in the 2k4 Face map there was a "ledge" (I don't know the term, like a stray polygon edge or something) out of sight on one side where you could fake like you had fallen off, land on the ledge, wait a couple seconds and then crouch or do whatever it was that made you drop the flag.

The game would show the message "so and so dropped the flag" which IIRC was the same message it shows when you die while holding the flag, and to most people it seems like you fell into the void and died, but you're actually just hanging out on the ledge.

There wasn't a way back up from the ledge, so you can't do this to shake people chasing you and then go score, but if you do this while you're ahead, the other team can't score until they get their flag back...

okay that's not really "strategy", it's super cheap.
Show HN: InboxTutor – Learn anything, one email at a time
by vadepaysa | 2025-12-05 07:05:58+00:00
Hello HN,

I built https://inboxtutor.net , a tool (more like a toy) I use to send myself daily lessons over email, generated using Gemini.

ChatGPT and Perplexity offer something similar, but they require opening an app, and their lesson continuity is often weak. I kept getting repeated content. So I built something that works entirely through email. The whole experience lives in my inbox, a place I’m checking anyway.

How it works: 1. Enter what you want to learn (“Teach me Japanese for my trip”) 2. Verify your email 3. Receive personalized AI generated lessons in your inbox daily 4. Reply to any lesson to ask questions, take quizzes, or reshape the content

That’s it. No app. No dashboard. Just email.

You can also attach context using PDFs, URLs, or pasted text you want incorporated into your lessons.

I’ve found it a nice async way to learn and thought I’d share it here.

Try it: https://inboxtutor.net/
by anonnon | 2025-12-05 07:05:59+00:00
You just described Sam Altman to a T. Never forget "Founder Naughtiness," a quality pg prizes in founders, which he originally ascribed to sama:

> 4. Naughtiness

> Though the most successful founders are usually good people, they tend to have a piratical gleam in their eye. They're not Goody Two-Shoes type good. Morally, they care about getting the big questions right, but not about observing proprieties. That's why I'd use the word naughty rather than evil. They delight in breaking rules, but not rules that matter. This quality may be redundant though; it may be implied by imagination.

> Sam Altman of Loopt is one of the most successful alumni, so we asked him what question we could put on the Y Combinator application that would help us discover more people like him. He said to ask about a time when they'd hacked something to their advantage—hacked in the sense of beating the system, not breaking into computers. It has become one of the questions we pay most attention to when judging applications.

Loopt, BTW, eventually became a shady gay hookup (not even "dating") app--the digital equivalent of the men's rooms in the Port Authority Bus Terminal--before getting acquired for barely more money than it raised in VC funding, and even then, only because one of its VCs was also on the board of the acquirer (Greendot). None of this is mentioned in Loop's sanitized wikipedia entry: https://en.wikipedia.org/wiki/Loopt
by prophesi | 2025-12-05 07:08:53+00:00
I think that's more of an issue of discovery. If I wanted decent fiction, I would actually prefer Apple's catalogue of Sci-Fi shows over anything I can find on Netflix these days. While with Youtube, you can find hidden gems outside their algorithm. In fact, I'd recommend not abiding by the algorithm of any platform and seek outside sources for finding shows you'd enjoy. Each platform has the same goal to retain your attention.
by NavinF | 2025-12-05 07:09:03+00:00
I'm guessing you're asking this question instead of just trying Adderall and answering this question yourself because you know it takes a long time to get appointments for diagnosis. FYI there are lots of online clinics in the US that will give you a diagnosis and send a prescription for $$$, not covered by insurance. After doing that, you can get refills from your normal Dr/PMHNP and local pharmacy for free/cheap. There's no point speculating about potential results when you can test it empirically.
by obscurette | 2025-12-05 07:09:06+00:00
No. It might be much much worse than 38% outside of these elite schools, but a little bit different. This is in fact one of the reasons public education falls off the cliff. I've seen a teacher leaving elementary after she found out that 19 kids out of 24 in her class had some kind of learning disability needing special treatment, special help, assignments specially designed for them etc. In her own words all of them were completely normal kids except maybe 1 or 2.
by creata | 2025-12-05 07:09:22+00:00
You're right that everyone should be using X-Frame-Options: DENY (for ancient browsers, plus CSP for newer browsers), but the author managed to pull it off on Google Docs. If even Google can't consistently stick to it, I feel like I should be worried.

All website operators should read this imo: https://cheatsheetseries.owasp.org/cheatsheets/HTTP_Headers_...
by harrall | 2025-12-05 07:09:39+00:00
I personally feel this distinction does not apply at the granularity of people and this difference is unrelated to the issue of people who aren't observant.

I am very process-oriented about drawing. The simple act of drawing is fun and I never have a specific goal. I try different mediums and subjects for fun with no actual purpose, but I still gradually improve because of it. But I never have any idea of what I’m going to draw next.

However I am very outcome-oriented about engineering. I enjoy it but nowhere as much as drawing. If something I built has problems, I keep that in mind for the next system. I pick up new things for the sole purpose of being up to date.

But in either way, I won’t repeat something again that never seems to work. That’s the same whether I’m being process-oriented or outcome-oriented.
by recursivecaveat | 2025-12-05 07:12:15+00:00
On the other hand I'm kind of shocked that the big gaming studios never seem to be fast followers. It feels like we've been through multiple waves of Balatro-likes from indie developers already. Where is the Ubisoft Lethal Company or something? You'd think having a studio full of experienced developers with tons of tech they could hop on trends quickly. It seems like they think it's beneath them or something though. Or maybe they're just structurally incapable of moving quickly. It did take 11 years and like 4 redesigns to make Skull & Bones after all.
by kazinator | 2025-12-05 07:12:35+00:00
The shortcuts all revolve around the cases when the strings are different.

If we just do a zipper compare and the first pair of bits happens to differ, we are done, having looked at only two bits.

Similarly, we compute hash functions that sample only a small number of bits out of each string, and the hash codes don't match, we are done.

The worst case occurs when the strings turn out to be identical. We cannot make the correct verdict that the strings are identical without examining every bit; any bit we don't look at could be the same or different, and so we cannot announce a decision.
by linesofcode | 2025-12-05 07:13:15+00:00
git workspaces, combined with some guard rails to keep the llm on task. For example a detailed document with requirements and implementation details and a unit tests that the llm can keep verifying against and/or enhancing between each step to increase the reliability of it’s output.

Give Claude Code a try, with git work trees and especially some skills pre-loaded https://github.com/obra/superpowers
by Rohansi | 2025-12-05 07:13:34+00:00
> They said they don't want an EV. The things that modern carmakers make complicated.

It's probably more of a sign of what's coming in the future. There is no need to make EVs difficult/expensive to repair. The change in technology is just an excuse to lock everything down and rake in more money for repairs/new vehicles. They could do the same for ICE vehicles too.
by SmirkingRevenge | 2025-12-05 07:14:18+00:00
Tariffs are gamed all the time.

They are notorious drivers of corruption, it's one of the reasons they're a disfavored policy. Trump himself visibly engages in it (e.g. Tim Cook giving him a gold statue, Apple tariffs get removed) but corruption will manifest at all levels of the chain.

Tariffs also cost more than the sticker price. Compliance is actually really difficult and expensive especially when everything is made so complex and unpredictable. Enforcement is also expensive and often arbitrary or based on who has or hasn't bribed the right people.
by Andrew_nenakhov | 2025-12-05 07:14:40+00:00
How many contractors do you think there are relative to the size of population, so that the previous poster was claiming that was flooded with wealth?? This is just plain nonsense. Mercenary payments have extremely limited impact on the overall 'lower class' wealth.

(And you somehow forget about the little insignificant downside of a mercenary career that you might be a bit dead or maimed, oops)
by aydyn | 2025-12-05 07:15:17+00:00
The Granite act is a direct result of this loud response. Being loud means that U.S. politicians notice, a U.S. under secratary notices, which means a stronger and more legally binding response is possible. Legislature and foreign diplomacy is involved not just some idealistic whining about jurisdiction.

https://x.com/prestonjbyrne/status/1996398535189860688
by throwaway2037 | 2025-12-05 07:16:18+00:00
You raise a good point. For specific programming tasks, I don't really want token-by-token suggestions in an IDE. And, like you, when I have a specific problem, e.g., "I need to do Kerberos auth like this in that language." -- I go to ask an LLM, and it is generally very useful. Then I look at the produced code and say: "Oh, that's how you do it." I almost never copy/paste the results from the LLM into my code base.
by thot_experiment | 2025-12-05 07:16:34+00:00
Get adblock and sponsorblock, or just yt-dlp it and let it cut out all the cruft, watching youtube with the callouts and sponsor segements left in sucks but we have the technology to solve the problem. I would believe there's good long form fiction content, I've listened to fiction podcasts with sound effects so there's at least that. I mostly watch multiple hour long non-fiction content so there's definitely lots of long form available, but I'm not sure how much fiction there is.
by testdelacc1 | 2025-12-05 07:17:08+00:00
I wonder if the Ellisons win either way

- any merger they propose will be greenlit by the Trump administration, giving them an advantage. The seller prefers them because the transaction is far more likely to go through.

- Netflix is interested exclusively in the assets and the studio, not in legacy assets like CNN. So Netflix is bidding for that alone. The Ellisons see themselves as recreating the Murdoch playbook. They already control CBS. Even if Netflix succeeds in buying HBO, the Ellisons can pick up CNN later and create a right wing news empire to rival Fox News.

HBO is a nice prize, especially with the prestige and popularity of its content library. But the Ellisons win no matter what.

For viewers and voters I don’t see a win here. HBO production gets Netflix-ified. Say goodbye to quality shows like The Pitt and prepare to welcome streaming-while-scrolling shows like Emily in Paris. And simultaneously you’ll have the Ellisons telling large parts of the population what they’re supposed to think.
by VerifiedReports | 2025-12-05 07:17:18+00:00
Mmmm, no, because if the delivery conduit uses AV1, you can optimize for it and realize better quality by avoiding the whole degrading round of grain analysis and stripping.

"I can't ever imagine a streamer building a source material pipeline that would handle that."

That's exactly what the article describes, though. It's already built, and Netflix is championing this delivery mechanism. Netflix is also famous for dictating technical requirements for source material. Why would they not want the director to be able to provide a delivery-ready master that skips the whole grain-analysis/grain-removal step and provides the best possible image quality?

Presumably the grain extraction/re-adding mechanism described here handles variable grain throughout the program. I don't know why you'd assume that it doesn't. If it didn't, you'd wind up with a single grain level for the entire movie; an entirely unacceptable result for the very reason you mention.

This scheme loses a major opportunity for new productions unless the director can provide a clean master and an accompanying "grain track." Call it a GDL: grain decision list.

This would also be future-proof; if a new codec is devised that also supports this grain layer, the parameters could be translated from the previous master into the new codec. I wish Netflix could go back and remove the hideous soft-focus filtration from The West Wing, but nope; that's baked into the footage forever.
by CrazyLLM | 2025-12-05 07:17:57+00:00
We're launching a free beta of our Fine-tuning SDK for large language models. It's designed to make LLM fine-tuning flexible and scalable, without the usual infrastructure headaches. You can focus on model innovation-leave scheduling, distributed frameworks, and infra to us. Join the waitlist for free beta access, and we'd love to hear your feedback!
by consp | 2025-12-05 07:22:03+00:00
What I meant more is that you need more and more specialized tools (according to the manufacturers). My previous ford needed a special (expensive!) bracket to keep the drivetrain in place if you want to do anything on the engine which makes home service less likely.

These regulations do not mean you need 25k in tooling, but that is what it has come to. And thus there is a blooming (mostly Chinese/Russian) aftermarket tooling business with sketchy software you want to run in a VM.
by troupo | 2025-12-05 07:22:30+00:00
> And Netflix has 13,000 employees, while Disney has 233,000.

And Disney is significantly more than just a single streaming service struggling to get content.

Their Direct-to-Consumer business (aka Netflix equivalent) posted a net profit increase 9.5x year on year (from 143 million to 1.3 billion) and has more than half the number of Netflix subscribers (196 million vs. 300+ million) in significantly shorter time than Netflix. https://thewaltdisneycompany.com/the-walt-disney-company-rep...
by toephu2 | 2025-12-05 07:25:50+00:00
Predicting stock prices means you are competing directly against massive hedge funds and professional quant teams with effectively unlimited budgets and large teams of engineers. These professionals are already using and constantly tweaking the latest models to gain an advantage.

It is highly unlikely that you guys or any individual, even utilizing the latest LLMs will consistently discover an edge that beats the market over the long run.
by brainpredict | 2025-12-05 07:26:22+00:00
Hi HN! I built BrainPredict because I was frustrated with cloud-only AI solutions that require sending sensitive business data to third parties.

What it does: - 445 specialized AI models covering 16 business domains (finance, HR, sales, supply chain, etc.) - Runs 100% on-premises - your data never leaves your infrastructure - Intelligence Bus architecture that lets AI models share insights across platforms - Works completely offline once installed

Tech stack: - Python backend with FastAPI - XGBoost, Prophet, LSTM, BERT for predictions - No external API calls (OpenAI, etc.) - fully autonomous - PostgreSQL + Redis

The models predict things like: - Revenue (95% accuracy) - Customer churn (30 days ahead) - Employee turnover risk - Inventory needs - Cash flow

Live demo: https://brainpredict.ai/demo/live

I'd love feedback on the approach. Is on-premises AI something enterprises actually want in 2025?
by jamietanna | 2025-12-05 07:28:57+00:00
I do keep an eye on my (fairly privacy positive) analytics via Matomo and I've seen increase in readership over the years as well as spikes in traffic as ie I'm top on reddit, Hacker News or Lobsters

https://www.jvt.me/site-in-review/

But I very much still enjoy that some of my posts are "screaming into the void", giving me an outlet
How do you keep up with AI/crypto/markets without drowning in noise?
by alex-vasper | 2025-12-05 07:30:10+00:00
I’m struggling with the usual problem: trying to stay up to date on AI, crypto, and markets without turning it into a part-time job.

Right now my inputs are a mix of newsletters, X/Twitter, podcasts, YouTube, and random links in group chats. It works… but it feels like I’m doom-scrolling “updates” more than actually understanding what matters.

I’m curious how people here handle this:

What does your actual weekly workflow look like to stay current?

Are there 1–2 sources you truly rely on (for AI / for crypto / for markets)?

Do you lean more on long-form (articles, reports) or short-form (briefs, dashboards, emails)?

Anything you’ve tried that didn’t work?

I’ve been experimenting with a very opinionated “one-minute weekly brief” + podcast at vasper.io, but I’m mostly interested in how HN readers think about information overload and what a useful setup looks like.

Would love to hear concrete routines, tools, and examples.
by Ambroos | 2025-12-05 07:30:11+00:00
These levels exist since the DSM-5, which is not yet in use everywhere:

The DSM-5 introduced three ASD levels of severity: level 1 (“requiring support”), level 2 (“requiring substantial support”), and level 3 (“requiring very substantial support”).

https://www.autismspeaks.org/levels-of-autism has a good complete overview.
Show HN: Dooza Desk – AI-native customer support for small teams (free pilots)
by Sibinarendran | 2025-12-05 07:31:43+00:00
I built Dooza Desk (https://www.doozadesk.com), a very early, AI native helpdesk for small teams. I’m looking for a few teams to run free pilots and tell me what breaks.

Problem I’m aiming at: - Small teams still type the same support answers that legacy tools can't close - Most helpdesks are seat-priced, not work done or AI based like cursor - “AI” in many tools is a thin layer on top of an old ticketing model, not the core.

What Dooza Desk does right now (basic version): - Simple shared omnichannel inbox for customer messages. - AI can autonomously solve tickets and take actions (need some polish) - Lightweight helpdesk features (assign, status, notes) so it can replace a bare inbox for small teams.

High-level implementation details: - Messages are normalized into a single internal ticket format. - AI Agents builder + pipeline runs on each message (classify intent, suggest tags, draft reply). - Customer and conversation history are stored so future messages can reuse context. - The system is designed so more automation steps can be added over time as I see real workflows.

State of the product: - Very early, rough edges expected. - Focused on making a narrow set of flows actually work end-to-end instead of a big feature checklist. - I’m actively changing things based on feedback; nothing is “frozen”.

What I’m looking for: - 3–5 small teams (SaaS or e-commerce or any product with recurring customer questions) willing to run a free pilot. - Brutal feedback on: - where the AI suggestions are useless or dangerous - which workflows must be automated first for this to be worth using - what’s missing to replace your current shared inbox / helpdesk for at least part of your support

If you want to try a pilot, you can sign up at https://www.doozadesk.com and then email me, I’ll wire things up manually and adjust the product around your workflows,
by bob1029 | 2025-12-05 07:32:53+00:00
The complexity here is partially a consequence of the energy storage mechanism and may be essential.

It is not possible for an entire tank of gasoline to spontaneously detonate in the same way that an EV battery can. If a mechanic fucks up a procedure and drills a hole through fuel tank, it's not fantastic but you can usually detect and recover from this before it gets to be catastrophic. If you accidentally puncture an EV battery or drop something across the terminals it can instantly kill everyone working on the car. These are not the same kind of risk profile.

I would not want work on anything with a high voltage system. Especially if it had been involved in an accident or was poorly maintained. These fuses and interlocks can only help up to a certain point. Energy is energy and it's in there somewhere. You can have 40kW for an entire hour or 100MW for 2 seconds. Gasoline cars usually throw a rod or something before getting much beyond 2x their rated power output.
by Andrew_nenakhov | 2025-12-05 07:33:06+00:00
> Now imagine living not so close to "center" (the mostly white west of the country)

You seem to have a very limited understanding of Russia.

First, nobody in Russia ever thinks of its population in racial terms like 'white'. At most, there are ethnic terms like 'russians', 'caucasians' [0], 'tatars', 'yakuts', etc. -- there aren't even any genuine Asians here but the students from China.

And no, thanks to the soviets, the cultural influence between most of these ethnic groups is next to unexistent.

More, you say 'the white west' of the country, but this is again a misconception: the closer you get to the 'west' (or, more correctly, to the center, like Moscow and Saint Petersburg), the less 'russian' it is. The percent of ethnic russian population is far higher in eastern parts of the country and on the outskirts than in Moscow, where the percent of ethnical russians is the lowest.

> Remember that most most people in Russia support the government and do what they are told.

Yeah, Putin once again thanks you for your service. You have no idea what real Russia looks like, as I've proven above when I disproved your misconceptions, yet, you go out of your way and still spread Putin's narrative how popular he is.

In reality, Putin stays in power because he has an army of paid thugs who'll kill anyone who opposes him. If Putin would participate in any honest elections vs just about anyone who is not one of his cronies, he'd lose such elections in a landslide. That's why he will never do the Lukashenko's mistake of allowing even a simple housewife to run against him, which ran, and won, so Lukashenko had no blatantly falsify the election results and suppress the protests to stay in power. Genuinely popular leaders do not need such precautions. Putin knows he is deeply unpopular, Russians know he is deeply unpopular, and only unwitting Putin's henchmen from the West spread Putin's narrative that he is a very popular leader. Lol.

[0]: No, not 'caucasians' as americans understand the term, but people from actual Caucasus region, like Chechnya, Dagestan, Armenia, Georgia -- the actual Georgia, not the one which is next to South Carolina :-D
by codys | 2025-12-05 07:33:15+00:00
Allocators in rust are objects that implement the allocator trait. One (generally) passes the allocator object to functions that use the allocator. For example, `Vec` has `Vec::new_in(alloc: A) where A: Allocator`.

And so if in your example every request can have the same Allocator type, and then have distinct instances of that type . For example, you could say "I want an Arena" and pick the Arena type that impls Allocator, and then create a new instance of Arena for each `Vec::new_in(alloc)` call.

Alternately, if you want every request to have a distinct Allocator type as well as instance, one can use `Box<dyn Allocator>` as the allocators type (or use any other dispatch pattern), and provide whatever instance of the allocator is appropriate.
by vitorgrs | 2025-12-05 07:34:08+00:00
Weirdly, Netflix on my Samsung TV it's been a few months it's using only H264. Not AV1. When they first launched AV1, it worked there...

Honestly not complaining, because they were using AV1 with 800-900~kbps for 1080p content, which is clearly not enough compared to their 6Mbps h.264 bitrate.