MurphyA/hacker-news huggingface dataset:
by wooben | 2025-06-30 20:51:18+00:00
I've been running Nextcloud in Docker with the Recognize and Memories apps for about a year and half now. It's in an off-lease refurbished Dell Precision tower from 2018.

I'm using docker compose to include some supporting containers like go-vod (for hardware transcoding), another nextcloud instance to handle push notifications to the clients, and redis (for caching). I can share some more details, foibles and pitfalls if you'd like.

I initiated a rescan last week, which stacks background jobs in a queue that gets called by cron 2 or 3 times a day. Recognize has been cranking through 10k-20k photos per day, with good results.

I've installed a desktop client on my dad's laptop so he can dump all of the family hard drives we've accumulated over the years. The client does a good job of clearing up disk space after uploading, which is a huge advantage in my setup. My dad has used the OneDrive client before, so he was able to pick up this process very quickly.

Nextcloud also has a decent mobile client that can auto-upload photos and videos, which I recently used to help my mother-in-law upload media from her 7-year-old iPhone.
by phil21 | 2025-06-30 20:51:44+00:00
I have sent in drug samples for testing, in my case they were name brand.

Variance per dose is about plus/minus 15% across the board. You might get 9mg one day, and 11.5mg another for a drug with a nominal 10mg label. Injectables are typically better than oral tablets it seems but not by a lot.

Purity was pretty good though, it was mostly a dosing variance I saw.
by tlogan | 2025-06-30 20:51:48+00:00
Please find a car which is missing. I was unable to find a single one.

And I also made the mistake with the list for 2025: there are 20 cars less than 25k in 2025.

See? You found problem with 2005 but you happily ignored that fact that I missed cars from 2025.

Why? Because it fits your world view. And that is how marketing works: you are convinced that cars are getting more expensive and no amount of data will change your view.

And posts on hubspot like this are paid by companies not making sub-$25k cars.
by jxjnskkzxxhx | 2025-06-30 20:52:47+00:00
> It's about the financial wisdom of

We can make the exact same reasoning if we do those steps but instead of buying bitcoin we buy other company's stock. In fact, this did happen, it was called the merger-mania and happened in the 70s (or 80s? Someone correct me). At the time companies were valued as a multiple of revenue growth, so companies figured they can grow revenue by acquiring other companies. So they would announce they would do it, their stock would jump, then they would acquire by issuing the now-higher value stock. Keep repeating.

The world of crypto is reinventing all the scams that were first invented in the real world. It's not even a hypothetical lol

If you wanna get even more meta, you could imagine the sole point of bitcoin is someone thinking "I'd like to scam people, but the people who are into stocks are already too literate these days. However, if we could invent an entirely new asset class..."
by WalterBright | 2025-06-30 20:53:05+00:00
Here's how to do it in D:

struct ListNode(T) { ListNode* next; T data; } T!int node;

Why suffer the C preprocessor? Using preprocessor macros is like using a hammer for finish carpentry, rather than a nail gun. A nail gun is 10x faster, drives the nail perfectly every time, and no half moon dents in your work.
by raincole | 2025-06-30 20:53:36+00:00
I'm not sure why you think so. AI outperforms humans in many games already. Basically all the games we care to put money to train a model.

AI has beat the best human players in Chess, Go, Mahjong, Texas hold'em, Dota, Starcraft, etc. It would be really, really surprising that some Atari game is the holy grail of human performance that AI cannot beat.
by dhooper | 2025-06-30 20:53:41+00:00
msvc 19.39 is the first to support it, which I mention in the article. You can confirm it didn't work up through 19.38 in godbolt [1]. I don't use Visual Studio, so I don't know what version of that first started using msvc 19.39

[1] https://godbolt.org/z/M7zPYdssP
Ask HN: When will YC do a batch in Europe and/or Asia?
by HSO | 2025-06-30 20:53:46+00:00
In light of recent developments that I think most people will be sufficiently aware of, no need to rehash here, wouldn´t this be the time to do batches in Europe and/or Asia? I would imagine the YC network is both large and international enough that you have the people who could mentor locally.

Speaking strictly for myself, while I still find the program very attractive, I am not willing to risk bureaucratic border nightmares, Salvadorean dungeons, or other harassments for it.

While I wish Europe or Asia had more direct competitors offering similar terms like YC, it is what it is and so, are you going to do it? If so, when? If not, why not?

Obv this is just a suggestion, but I think it would be good for YC too because for sure Europe and Asia are going to build their own ecosystems and internet economies with new motivation/urgency now so this would be good for everybody.
by lsy | 2025-06-30 20:53:47+00:00
This seems simplistic, tech and infrastructure play a huge part here. A short and incomplete list of things that contributed:

- Moore's law petering out, steering hardware advancements towards parallelism

- Fast-enough internet creating shift to processing and storage in large server farms, enabling both high-cost training and remote storage of large models

- Social media + search both enlisting consumers as data producers, and necessitating the creation of armies of Mturkers for content moderation + evaluation, later becoming available for tagging and rlhf

- A long-term shift to a text-oriented society, beginning with print capitalism and continuing through the rise of "knowledge work" through to the migration of daily tasks (work, bill paying, shopping) online, that allows a program that only produces text to appear capable of doing many of the things a person does

We may have previously had the technical ideas in the 1990s but we certainly didn't have the ripened infrastructure to put them into practice. If we had the dataset to create an LLM in the 90s, it still would have been astronomically cost-prohibitive to train, both in CPU and human labor, and it wouldn't have as much of an effect on society because you wouldn't be able to hook it up to commerce or day-to-day activities (far fewer texts, emails, ecommerce).
by whstl | 2025-06-30 20:53:54+00:00
In this case I hope you have sympathy when I state that I dislike when Apple charges 30% on transactions (but also apps), because this cost is also passed to the consumer: me.

And I 100% guarantee that the piece of this 30% pie is way bigger than the effort it would require them to divert their development like you're suggesting.

EDIT: Oh, and I also bet their lawyer bill for fighting this is bigger than that too. :)
by smokel | 2025-06-30 20:54:02+00:00
No, they (and many others before them) are genuinely trying to improve on the original research.

The original paper "Playing Atari with Deep Reinforcement Learning" (2013) from Deepmind describes how agents can play Atari games, but these agents would have to be specifically trained on every individual game using millions of frames. To accomplish this, simulators were run in parallel, and much faster than in real-time.

Also, additional trickery was added to extract a reward signal from the games, and there is some minor cheating on supplying inputs.

What Carmack (and others before him) is interested in, is trying to learn in a real-life setting, similar to how humans learn.
by russellbeattie | 2025-06-30 20:54:11+00:00
> ... we need to look a little closer at the physical structure of a data bus

Once again, I have to give a shout out to Ben Eater, whose video series on making a breadboard computer with the 6502 is why I actually understand what the article is about and what you're referring to when describing the hardware issues. (Obviously, extrapolating from his basic bus example to a commercial machine.) I'd be pretty clueless otherwise.

https://eater.net
by WorldMaker | 2025-06-30 20:54:37+00:00
Right. It's useful to point out too that for some of our day-to-day mobile networks this is the present state and not just a hypothetical future. Mobile and cell networks have been a driving force for IPv6 adoption [1] and several of them went IPv6-only infrastructure years ago (hand in hand with 5G rollouts in many cases). Both iOS and Androids efforts in making sure that IPv6-only was standard and worked in all App Store/Play Store apps were critical to getting us here.

[1] IPv6 makes hand-offs between radio towers (cells) a lot easier if the towers don't also have to manage scarce IPv4 addresses/NAT44 configurations and complicated DHCPv4 handshakes to setup/change IP addresses regularly; plus mobile networks in general have a lot of devices today, some have way more than other types of ISPs so IPv4 scarcity was something they could feel directly on their corporate bottom lines.
by kube-system | 2025-06-30 20:55:01+00:00
I didn't miss it, which is exactly why I specified "up until 2024" which was when policies regarding Chinese EVs changed.

Further up this thread the discussion was about Asian market cars that are still sub $10k. There are both gasoline and EV vehicles that exist in this price range, but they are very different than the types of cars sold in the US market. They're more similar to off-road low-speed utility vehicles (and some are literally sold for this purpose in the US).

If you look at the western markets where there are Chinese EVs, higher safety standards, and higher buyer expectations, you'll see that they're very closely priced.

e.g.:

https://www.byd.com/uk/order-sealion-7

https://www.tesla.com/en_gb/modely/design#overview

The idea that other countries have equivalent cars that are cheaper just doesn't hold water. Asia has cars that are cheaper because you get less car.

As another example here, the cheapest BYD sold in the UK is the Dolphin Surf starting at $25,614 (18,650 GBP). Even if it doesn't require any changes to meet US regulations (which many cars do), I don't think many Americans are going to run out to buy what is considered a microcar here, just to save $2500 over a Leaf, that Americans already don't buy. It certainly isn't going to compete with the Corolla or Corolla Hybrid which starts at $22,325/$23,825 respectively.

https://www.byd.com/uk/configurator/dolphin-surf
by foobarian | 2025-06-30 20:55:10+00:00
> I think you might be living in a bubble, if this is the "most evil" thing you have heard of a big tech company doing. Go read up on IBM's history, especially in the 30s and 40s. Or a more contemporary example, read up on Embrace, Extend, Extinguish. Or Amazon's mistreatment of workers in both corporate and warehouse settings. Or Meta scraping data off your devices without permission to train AI.

I wouldn't count the IBM thing because I don't see it as part of the vernacular "big tech" of today; however I do think it's the most evil so far in this thread.

The others? They are mostly aggressive competition, especially the MS stuff, and altogether I don't see them as more evil than Apple's exclusionary UX. What's at the bottom of it for me is that it harms users directly, e.g. what others said about kids getting shamed for having a non-Apple phone. The one thing not mentioned yet that would qualify for me would be Meta's product altogether with its impact on teenagers; and various gambling simulators like Roblox.
by saurik | 2025-06-30 20:55:31+00:00
And yet, abandoning X for Wayland--not to start developing Wayland, but to actually stop using X and start using Wayland--is MUCH easier to do now than it was to do five years ago, despite all of the people (maybe including yourself) who were INSISTENT that you had to do it IMMEDIATELY or suffer some kind of consequence.

This is a similar situation to the people who were all screaming that you had to ditch Python 2 to upgrade to Python 3 immediately after it came out, and that if you didn't you were somehow dumb, even though they finally started to fix all of the upgrade deficiencies and regressions only with something around Python 3.5: there's a time to upgrade, and that time is never immediately upon introduction.
by hopelite | 2025-06-30 20:56:00+00:00
I have a sneaky suspicion this is not something that Xfinity/Comcast just woke up one day and thought they should implement. This has all the hallmarks of the treasonous surveillance state injecting itself to instrumentalize corporations to claim they’re not violating the supreme law called the Constitution if they simply make others commit the treasonous crimes against the people.

Because we all know, of course, the Constitution only applies to the federal government, right? If mega-corporation USA Inc uses its shell company Comcast to violate the Supreme law of the land in a treasonous manner, then you are of course SOL asa mere citizen since they aren’t the federal government and the Constitution does not apply to them.

In case it want clear, that was sarcasm.
by cosmic_cheese | 2025-06-30 20:56:10+00:00
Or you end up with companies (like Wal-mart) that decide that they don’t want to accept Apple Pay and become payment processors themselves, requiring you to install their app to do phone/watch payments. Congrats, you now need a whole boquet of payment apps and we’re back to it being easier to use physical credit cards. For some of these things, the consolidation was the whole point.
by zefhous | 2025-06-30 20:56:18+00:00
Not gridfinity compatible, but I have a set of corner pieces that uses a similar concept. The majority of the material can be scrap acrylic, mdf, cardboard, etc. and you just print the corner pieces. Lids and stuff too.

https://www.printables.com/model/57813-boxkit-parts-for-maki...

3d printing is great, but a lot of wasted plastic if you print large organizers and stuff like that.
by msgodel | 2025-06-30 20:56:53+00:00
A big part of my short thesis with Apple is that they'll try to do this sort of thing and it will mean real AI integration like what their customers want will simply never be available, driving them to more open platforms.

I think you'll see this everywhere. LLMs mean "normal" people will suddenly see computers the way we do and a lot of corporate leadership just isn't intuitively prepared for that.
by bigyabai | 2025-06-30 20:57:26+00:00
Probably not soon. There's still ludicrous amounts of money flowing in the US-based VC system and I'd imagine YC would rather focus on that until it's dead as a doormouse. I'm someone that really supports the Asian/European entrepreneur circle, but its still hard to overstate how much capital is flowing through the US right now.

(disclaimer: I have no affiliation with YC, just startup culture)
by keerthiko | 2025-06-30 20:57:27+00:00
> generating a video under prompt constraints is basically playing a game

Besides static puzzles (like a maze or jigsaw) I don't believe this analogy holds? A model working with prompt constraints that aren't evolving or being added over the course of "navigating" the generation of the model's output means it needs to process 0 new information that it didn't come up with itself — playing a game is different from other generation because it's primarily about reacting to input you didn't know the precise timing/spatial details of, but can learn that they come within a known set of higher order rules. Obviously the more finite/deterministic/predictably probabilistic the video game's solution space, the more it can be inferred from the initial state, aka reduce to the same type of problem as generating a video from a prompt), which is why models are still able to play video games. But as GP pointed out, transfer function negative in such cases — the overarching rules are not predictable enough across disparate genres.

> I think you could prompt veo3 to play any game for a few seconds

I'm curious what your threshold for what constitutes "play any game" is in this claim? If I wrote a script that maps button combinations to average pixel color of a portion of the screen buffer, by what metric(s) would veo3 be "playing" the game more or better than that script "for a few seconds"?

edit: removing knee-jerk reaction language
by pphysch | 2025-06-30 20:57:55+00:00
Most of the complexity in observability is clientside.

It is not hard to spin up Grafana and VictoriaMetrics (and now VictoriaLogs) and keep them running. It is not hard to build a Grafana dashboard that correlates data across both metrics and logs sources, and alerting functionality is pretty good now.

The "heavy lift" is instrumenting your applications and infrastructure to provide valuable metrics and logs without exceeding a performance budget. I'm skeptical that Datadog actually does much of that heavy-lifting and that they are actually worth the money. You can probably save 10x with same/better outcomes by paying for managed Grafana + managed DBs and a couple FTEs as observability experts.
by seabass-labrax | 2025-06-30 20:58:21+00:00
That is unfortunately my experience. My household between ~2005 and ~2015 acquired a VCR every year or so, keeping pace with the rate at which they would pack up. These were second-hand machines at the end of their life, so although I wouldn't say we "didn't care" when disposing of them, it was with a sense of resignation as we knew that repairing them was beyond our collective skill and equipment.

At an ambient relative humidity of 90%, the tapes themselves would become mouldy at an alarming rate. We did therefore check for mould before playing them, as this could have rubbed off onto the VCRs and then might have spread to other tapes.
by andy_xor_andrew | 2025-06-30 20:58:40+00:00
Yeah, it's bizarre.

Normally the pathway for this kind of thing would be:

1. theorized

2. proven in a research lab

3. not feasible in real-world use (fizzles and dies)

if you're lucky the path is like

1. theorized

2. proven in a research lab

3. actually somewhat feasible in real-world use!

4. startups / researchers split off to attempt to market it (fizzles and dies)

the fact that this ended up going from research paper to "Comcast can tell if I'm home based on my body's physical interaction with wifi waves" is absolutely wild
by Akranazon | 2025-06-30 20:58:54+00:00
Each of the terms used by the author, which I listed above, are fine and meaningful on their own. The problem is, it's jarring when academics try to shoehorn their pet issues into as many topics as possible, and combined with the raw density of academic verbiage, it gets quite grating. It tells you a lot about the sensibilities/priorities of the academic.
by Yuxuan_Zhang13 | 2025-06-30 20:59:20+00:00
Pokémon Red is becoming a go-to benchmark for testing advanced AIs such as Gemini. But is Pokémon Red really a good eval? We study this problem and identify three issues: 1⃣ Navigation tasks are too hard. 2⃣ Combat control is too simple. 3⃣ Raising a strong Pokémon team is slow and expensive as an eval.

We find most of the problems are not fundamental to games themselves, but how they have been used. We believe game-as-an-eval remains a compelling and underutilized evaluation strategy.

We introduce Lmgame Bench to standardize game-as-an-eval. More details and findings in our blogpost: https://lmgame.org/#/blog/pokemon_red
by schiffern | 2025-06-30 21:00:34+00:00
I miss the old days when this would come off like a crazy rant, rather than being the evening news.

In case people missed it:

https://theconversation.com/from-help-to-harm-how-the-govern...

https://www.eff.org/deeplinks/2023/07/even-government-thinks...

https://www.politico.com/news/magazine/2024/02/28/government...
by munjal116 | 2025-06-30 21:00:37+00:00
I'm building an AI-native operating system for business, from first principles. It's called Simple (https://simple.dev).

With 20+ years of experience building an enterprise software platforms, I have seen firsthand that trying to bolt AI onto legacy systems is an architectural dead end. It’s like building a state-of-the-art 'smart penthouse' on top of a 100-year-old brick building. The foundation wasn't designed for the weight, the wiring can't handle the power demands, and you get a high-tech facade on a crumbling, inefficient core.

We decided to build the modern skyscraper from the ground up, designing the entire system around three core principles:

1. A Unified State Machine: We started with a single, transactional data model and a core set of APIs that can represent any business object or workflow. Everything from a customer record to an approval process is a primitive in this system.

2. Language as the Primary Interface: Natural language isn't just for Q&A; it's a first-class citizen for commands. A prompt like "Create an app to track sales leads with fields for status, deal size, and owner, then add a 3-step approval workflow for deals over $50k" directly executes against the core APIs, modifying the actual schema and logic in real-time. No consultants needed.

3. True Agentic Execution: Our AI agents are given credentials to this same core API layer. You can delegate multi-step, stateful tasks ("When a new lead is assigned, notify the rep on Slack, schedule a follow-up in my calendar for 3 days, and generate a draft outreach email using our template"). The agent executes this by making the same API calls a human developer would, but with the flexibility to handle variations.

For the nerds, here's the tech stack we're using to make this happen: The backend is built in Elixir; the BEAM VM's actor model and fault tolerance are perfect for managing thousands of concurrent agents and workflows. For performance-critical parts, we drop down to Rust via NIFs. Crucially, all custom logic — whether generated by an AI agent or a human — is compiled to WASM. This provides a secure, high-performance sandbox, giving us language flexibility and near-native speed for all automated tasks.

We're moving from a paradigm of "users hunting through menus" to "users delegating real work." It's an ambitious mission, and I'd love to hear what the HN community thinks of this philosophy and architectural approach.
by saurik | 2025-06-30 21:01:09+00:00
Well: 1) it isn't always the case that the people who develop a system in the center of an ecosystem are actually the people who know best how the entire ecosystem should work (and in fact there is an entire trope of second system effect destroying such a reboot); 2) it isn't at all obvious to me (and in fact it feels incredible to me) that the people who put most of the effort into X.Org decades ago are actually "the exact same people" who are in charge of maintaining it today; and 3) the specific thing we are talking about here has been discussed numerous times in the past decade by people developing low-latency and high-performance apps--such as games, which is where you really want to be able to get the display server out of the way--and was, in fact, known to introduce a ton of latency that they were going to figure out how to fix some day (a similar situation to how Wayland completely fucked up display scaling by forcing integer scaling, which required patching later and now is a wart in the architecture already).
by decimalenough | 2025-06-30 21:01:49+00:00
> Assume that Datadog cuts the number of outages by half, by preventing them with early monitoring. That would mean that without Datadog, we’d look at 24 hours’ worth of downtime, not 12. Let’s also assume that using Datadog results in mitigating outages 50% faster than without - thanks to being able to connect health metrics with logs, debug faster, pinpoint the root cause and mitigate faster. In that case, without Datadog, we could be looking at 36 hours worth of total downtime, versus the 12 hours with Datadog. To put it in numbers: the company would make around $9M in revenue it would otherwise lose, Now that $10M/year fee practically pays for itself!

Those are some pretty heroic assumptions. In particular, they assume the only options are Datadog or nothing, when there are far cheaper alternatives like the Prometheus/Grafana/Clickhouse stack mentioned in the article itself.