MurphyA/hacker-news huggingface dataset:
by EForEndeavour | 2025-10-21 14:07:24+00:00
From my limited experience trying exactly this, it gets you 80% of the way there, then devolves into an infuriating and time-wasting exercise in endless iteration and prompting to sweep clustering parameters and labeling details to nail the remaining 20% needed for acceptance by downstream "customers" (i.e., nontechnical business people).

If your end goal is to show an audience of nontechnical stakeholders an overview of your dataset in a static medium (like a slide), I would suggest you do the cluster labeling yourself, with the help of interactive tooling to make the semantic cluster structure explorable. One option is to throw the dataset into Apple's recently published and open-sourced Embedding Atlas (https://github.com/apple/embedding-atlas), take a screenshot of the cluster viz, poke around in the semantic space, and manually annotate the top 5-10 most interesting clusters right in Google Slides or PowerPoint. If you need more control over the embedding and projection steps (and you have a bit more time), write your own embedding and projection, then use something like Plotly to build a quick interactive viz just for yourself; drop a screenshot into a slide and annotate it. Feels super dumb, but is guaranteed to produce human-friendly output you can actually present confidently as part of your data story and get on with your life.
by JohnFen | 2025-10-21 14:07:41+00:00
I expect it to take a long time because they seems to be a long way off from achieving it. Their track record so far isn't great. They've consistently blown every timeline they've put forth, and by a lot.

Remember, they said that they'd have a rapidly reusable launch system going by March 2013. In 2011, Musk said that he'd be sending humans to Mars sometime between 2021 and 2031, but it doesn't look like they're anywhere near being able to do that yet.

Also remember that they started working on all of this in 2008.

I mean, I could be wrong! But I don't think I am.
by crazygringo | 2025-10-21 14:08:14+00:00
This is fascinating.

Obviously working directly with audio is vastly more complex than with text.

But it is very exciting to see how part of making LLMs work natively with speech, is finding a codec that is maximally efficient at encoding speech.

I even have to wonder if, at some point, we ultimately create a popular voice codec usable with LLMs based not on the Fourier transform or similar, but rather on some kind of set of physical parameters describing vocal cord shape, tongue position, throat/chest/mouth shape, etc.

I can imagine such a model being arrived at statistically (determining the necessary number of parameters), and then almost becoming "hard-coded" as a standard since human anatomy doesn't change much there, beyond certain ranges.

I think it's called formant speech encoding, and it would be interesting if LLMs wind up massively advancing that field. Since I think historically it's had to do more with speech synthesis than audio compression.
by deaux | 2025-10-21 14:08:14+00:00
Agreed that Opus is stronger than Sonnet 4.5 and GPT-5 High. It's the bitter pill - bigger, more expensive models are just "smarter", even if it doesn't always show in synthetic benchmarks. Similar with o1-pro (now almost a year old, an eternity in this space) vs GPT-5 high. There's also GPT-5 Pro now, which comes at an API cost of $120/M output, and is also noticeably smarter, just like Opus.

They all like to push synthetic benchmarks for marketing, but to me there's zero doubt that both Anthropic and OpenAI are well aware that they're not representative of logical thinking and creativity.
by nmfisher | 2025-10-21 14:08:18+00:00
The article is talking about doing exactly that. The key question is how to convert an inherently continuous signal (speech/audio) into a discrete set of tokens. A single window of audio is usually somewhere between 10ms and 100ms. It's difficult to squish all that information down to a single "token" that represents the semantic and acoustic content for that window.

That's why residual vector quantization is a useful technique - using multiple dictionaries to quantize a single timeslice, each conditioned on the previous residual level. You can also quantize a signal at different frequencies.

There are samples towards the end of the post of their LLM trained on their Mimi audio codec.
by general1465 | 2025-10-21 14:08:27+00:00
> EU aligning itself with BRICS would probably come with breaking away from NATO

Never gonna happen. Eastern Europeans have massive hate boner for Russia, because they were effectively colonized for 40 years as "Eastern Block" and Putin is trying to repeat that.

> Russia (supposedly) wants Ukraine because of the ever growing presence of NATO at its doorstep.

Main point of division between Ukraine and Russia is the fact, that Ukrainians consider themselves as standalone nation, why Russians consider Ukrainians as part of Russia. As long as Ukraine or Ukrainians exists, (or as long as Russia is jingoistic state) there will be war between Russia and Ukraine. It is a repeated narrative for last 300 years.
by oytis | 2025-10-21 14:08:34+00:00
It's not the first piece of criticism of Germany by Ai Weiwei, but it always leaves me with a weird impression. On one hand, he's a great artist, and I want to see - and sometimes do see - some deep insights into Germany's mind there. The points he criticizes are also mostly valid, and many of them well-known, but the way he criticizes them are somewhat confusing.

Rigid rules - yes, lack of social mobility - yes, no sense of good taste for food or anything else including ethics - yes, and it's not new. But we do have dispute, sometimes pretty heated one - in parliament, in the press, among ourselves. E.g. the silence over Nord Stream is rather a silence of confusion, not fear.

He admits not knowing German in this very article, so I really wonder what Germany looks like to him. He's a great mind, but also lack of knowledge in the local language would mean an important part of reality would be missing from your picture.
by frenchmajesty | 2025-10-21 14:08:47+00:00
OP here. I agree! I should've called out why I did _not_ follow that approach as many others have commented the same.

The main reason why is that I needed the classification to be ongoing. My system pulled over thousands of tweets per day and they all needed to be classified as they came for some downstream tasks.

Thus, I couldn't embed all tweets, then cluster, then ...
by sporkxrocket | 2025-10-21 14:08:50+00:00
We created Sarbanes-Oxley after Enron and made it very difficult to go IPO, yet somehow TSLA is allowed to engage in blatant and obvious fraud. Musk lies in every shareholder meeting and is rewarded with hundreds of billions of dollars. I can't think of another case of financial fraud at this scale that is allowed to go completely unchecked.
by chasd00 | 2025-10-21 14:09:05+00:00
It reminds me how once you get on the preferred vendor list of a large corporation it becomes very very hard to stop getting paid. No matter how bad you screw up you get more projects because, hey, you're on the list. The US Government is the ultimate whale, get on that metaphorical preferred vendor list and you get "money for nothing and chicks for free" forever.
by floating-io | 2025-10-21 14:09:11+00:00
> Blue Moon HLS is considerably less complex than Starship HLS

That's the one thing in your comment I disagree with. Starship-based HLS has basically one base vehicle, modified into three variants (tanker, depot, and the lander itself). Refueling is done in LEO.

Blue Origin's HLS has three completely unique vehicles with no commonality (New Glenn, Transporter, and the lander), and refuels in multiple orbits, one of which is NRHO, which is likely to be far more challenging. And they're doing it with hydrogen.

Blue Origin's Mk1 cargo lander is simpler; their HLS architecture is not.

JMHO.
by throw0101d | 2025-10-21 14:09:26+00:00
* https://en.wikipedia.org/wiki/Timeline_of_Amazon_Web_Service...

As someone who lives in Ontario, Canada, I got hit by the 2003 grid outage, which is once in >20 years. Seems like a fairly good uptime to me.

(Each electrical grid can perhaps be considered analogous to a separate cloud provider. Or perhaps, in US/CA, regions:

* https://en.wikipedia.org/wiki/North_American_Electric_Reliab...

)
by account42 | 2025-10-21 14:09:53+00:00
This seems to have more technical info: https://userbase.kde.org/KDEConnect

E.g. that it works over the local network or bluetooth only, no remote connectivity without a VPN which the marketing page with fancy graphics (https://kdeconnect.kde.org/) doesn't even tell you because it's so dumbed down to the point of being useless.

Also, why the fuck does KDE have two separate wikis.
by constantcrying | 2025-10-21 14:09:57+00:00
The German government regularly sets up tools which help people decide which party to vote for.

Journalists continually publish articles arguing which political parties should be favored.

What makes LLMs so special that they can not be used as tools to decide which party to vote for?

Nobody is suggesting that we ask ChatGPT to pick the new government. But why can it not be used to inform people? And if it can not be used to inform people about politics should it be allowed to inform about anything if importance?
by Merad | 2025-10-21 14:10:00+00:00
The web operates in a very different world if you've invested in good tooling. I used to be lead on a modestly sized payment processing back end to the tune of about 100 transactions/second (we were essentially Stripe for the client facing apps at the company). In many cases our monitoring and telemetry let us identify root cause in a matter of minutes. Not saying that is or should be the norm for all web apps, but what we had was not too far off from a read-only debugger view of the back end app's state throughout the request and it was very powerful. Of course for us more often than not the root cause was "the bank we depend on is having a problem" so our knowledge couldn't do much other than help the company shape customer communications about the incident.
by tjwebbnorfolk | 2025-10-21 14:10:06+00:00
Shortages always exist at a given price. If people demand their iphones cost only $100, there would be a massive shortage of iphones.

Same goes for labor: if you pay shit, demand for that job is going to be shit.

Of course on the labor side, part of the "price" is job satisfaction, working conditions, etc. Many more people would rather be receptionists at $17/hr than working in a warehouse or factory for the same rate.
by CaptainOfCoit | 2025-10-21 14:10:14+00:00
> You must be new here.

You too, as otherwise you surely would have at least skimmed the article before commenting :)

> As we recently reported, thousands of Tesla owners have now joined a class action lawsuit in Australia[1] over Tesla misleading customers with its self-driving promises.

> It adds to similar ongoing lawsuits in the US[2] and China[3] .

1 - https://electrek.co/2025/10/13/thousands-of-tesla-owners-joi...

2 - https://electrek.co/2025/08/19/tesla-loses-bid-to-kill-class...

3 - (https://electrek.co/2025/09/22/tesla-being-sued-china-over-n...)
by pfdietz | 2025-10-21 14:10:24+00:00
It should be clear that the protection NASA had as a pork delivery vehicle has been breached. Witness the slaughter at JPL and, more generally, attack on research spending in general.

Now that this has happened, expect a future democrat administration to have its revenge on human spaceflight centers in red states. Given the rot that has set in under that politically protected status, I can't see this as a bad thing.
by inglor_cz | 2025-10-21 14:10:25+00:00
There is a saying that SpaceX turns the impossible into merely late.

They have blown a lot of deadlines, but they also produced a very reliable and relatively cheap launcher which now underpins the majority of human space activity, which we should, in fairness, consider a huge achievement.

And the Raptor engines look really good so far. Reliable engines are a huge must in space industry.

I don't think they are getting stymied by reentry problems forever. Already the latest IFT looked a lot better than the first one.
by Xenoamorphous | 2025-10-21 14:10:56+00:00
I have dozens of collections with hundreds of requests, most sending complex payloads, all perfectly organised hierarchically. I'd rather use a collapsible UI for that, if you prefer to have hundreds of scripts in folders that's fine too.

Actually I don't even create those collections, we have OpenAPI/Swagger docs for all of our APIs and I just import them with a couple of clicks (which I'm sure there's a way to do with curl).

For the odd requests, and sharing requests with others? I use curl, no problem. I actually think I know it pretty well and very rarely need to look up any docs for it.
by kbolino | 2025-10-21 14:11:14+00:00
FWIW it looks like Cassandra doesn't belong on this list, and DynamoDB only with qualifications.

Though Cassandra is more like quasi-SQL than NoSQL, the bigger issue is that actually the clustering key is never used for sharding. So Cassandra (today) always puts all data with the same partition key on the same shard, and the partition key is hashed, meaning there's no situation in which UUIDv7 would perform differently (better or worse) than UUIDv4.

In DynamoDB, it is possible for sort keys to be used for sharding, but only if there is a large number of distinct sort keys for the same partition key. Generally, you would be putting a UUID in the partition key and not the sort key, so UUIDv7 vs UUIDv4 typically has no impact on DB performance.
by jqpabc123 | 2025-10-21 14:11:21+00:00
Combine that with sunk cost fallacies and this is exactly the sort of behavior I'd expect.

Sorry, fads and sunk cost fallacies can't explain why a majority of Wall Street "analysts" maintain a *buy* rating on a company with a PE of over 250 and a *declining* global market share --- while the companies eating Tesla's market share have a P/E of around 10.
by hkdobrev | 2025-10-21 14:11:51+00:00
> After a slew of unplanned explosions

Most were expected, when pushing the rocket to its limits to see where it would fail.

> the company achieved two sub-orbital missions for its monster rocket - impressive, but still more than 200,000 miles (322,000 km) from the Moon.

The test flights are suborbital due to FAA licensing requirements until they are ready to test returning to the launch tower. The role of Starship lander version in Artemis is not to directly launch to the Moon, but act as a shuttle between an orbiting vessel around the Moon and the surface of the Moon. So the comparison in miles is non-sensical.

> Acting Administrator Sean Duffy said the company was "behind schedule"

SpaceX is planning to test orbital refueling in 2026. It was originally scheduled for late summer of 2025, so not late with more than a couple of months. It is certainly not the slowest cog in the system. Now, it is scheduled for 2027, and SpaceX will likely test in H1 of 2026.

> Elon Musk, the boss of SpaceX, fired back: "SpaceX is moving like lightning compared to the rest of the space industry. Moreover, Starship will end up doing the whole Moon mission. Mark my words."

SpaceX can completely drop out of the Artemis program and still bring astronauts to the moon earlier than Artemis.

---

There are also delays with Boeing, Axiom, Lockheed Martin (and Blue Origin although for a different mission).
Vibe Coding Without Losing Your Skills
by kamil1300 | 2025-10-21 14:12:27+00:00
Vibe coding tools like Cursor and Lovable.dev are fast, intuitive, and productive—but over time they can erode your skills, generate overengineered code, and even mess up your folder structure.

I’m looking for ideas to build a CLI for vibe coding that: 1. Keeps you productive 2. Boosts your skills instead of replacing you 3. Highlights what developers miss while coding
by MSFT_Edging | 2025-10-21 14:12:32+00:00
Actual race-based apartheid ended 9 years after the first Windows release.

The Boer in question were the people enforcing apartheid for generations. They're also still the majority land-owners in South Africa due to the apartheid system. As of 2017 it was around 73% of Agricultural land owned by the beneficiaries of Apartheid.

I'm sorry but you can't just cry foul when your racism record setting attempt falls apart in the age of the internet and the victims hold a grudge.
by crc_ | 2025-10-21 14:12:56+00:00
For RetroForth, I have a new interface under development that may be somewhat like this. A screenshot can be seen at https://imgur.com/a/z4jhq6e

I use RetroForth as a working environment on Unix [mostly OpenBSD & FreeBSD], with an (unreleased) userland written in it, along with some use of external standard utilities. I'm still working on improvements around chaining programs via a pipe-like structure, but it's been my main environment apart from Konilo for a few years now.
by JumpCrisscross | 2025-10-21 14:13:17+00:00
> orbital refueling is likely one of the hard parts

It's the most novel and riskiest. I wouldn't say it's hardest. That's launch, reëntry and reüse. They've substantially de-risked those components with IFT-11.

I'd put IFT-12 validating Block 3 as the actual hardest launch next year. If that goes smoothly, I'm betting they make orbit and propellant transfer before the end of the year. And if that happens, I'm betting they get at least one rocket off to Mars before year end.
by ACCount37 | 2025-10-21 14:13:34+00:00
I don't see any real possibility of Artemis 3 launching before 2030, frankly. That "mid-2027" timeline is a joke said with a straight face.

There are enough contractors involved and enough delay potential on the table that getting all the ducks in the row in time for the 2027 date would require nothing short of divine intervention.
by frenchmajesty | 2025-10-21 14:13:38+00:00
Hey OP here. The use-case is to give an Agent the ability to post on my behalf. It can use these class labels to figure out "what are my common niches" and then come up with keyword search terms to find what's happening in those spaces and then draft up some responses that I can curate, edit and post.

This is the kind of work you typically hire cheap social managers overseas to do through Fiverr. However, the variance in quality is very high and the burden of managing people on the other side of the world can be a lot of solo Entrepreneurs.
by smusamashah | 2025-10-21 14:13:48+00:00
I believe you, my brain doesn't. Those movements are so smooth. The line where two different colours merge have no sharp edges and look perfectly curved. Only thing edgy was the very last blinking animation where there weren't any colours.

Thinking more, if there were only 4 LEDs I can imagine how they would look like diffused.

Initially I was thinking if 8x8 can show all those smooth details and motions, can it be used to show any other higher resolution imagery instead of just moving colours.
by destitude | 2025-10-21 14:14:08+00:00
Considering nobody in the world can compete with SpaceX currently this seems purely political in nature. The EU is struggling to even come up with an answer to reusable rockets. China is the closest and will likely have something equivalent to the Falcon 9 within the next 2 years. But someone in the USA? People are delusional. Sure it is always best to have competitors but how did that work for Boeing/NASA/Starliner? You can't have two players/competitors if there is only one player in the entire world. And the reason why you need reusability is so that it is actually sustainable to use it! Does anyone here thinking this is a good idea have any idea how much it costs to launch SLS just once??
by bluGill | 2025-10-21 14:14:15+00:00
You should prepare for an interview. However 5 hours seems like a lot and I question if CS101 is worth preparing for. (If I know you will ask about a red-black tree I can look it up - but like most engineers I never think about it because my standard library has it implemented for me - unless the job is implementing the standard library I would not expect you to ask that question)

You might be asked to write something like fizz-buzz in an interview - but the point is there isn't a good answer to that. (there are a few possible solutions, but all of them have something you should not like - which makes it a simple yet real world like problem and thus something you should be able to figure out in less than an hour without study)

What you should prepare is figure out how they interview and thus what questions they might ask. (nobody will tell you what questions will be asked, but they may tell you the style) Practice the answers. Practice stories of how you worked in the past so you can twist the story to answer the question (the above is how you should prepare for the STARS interview my company does). If you were in prison or something then be prepared to talk about why they should believe you are reformed, but most people don't have such a thing in their past that they should find.
by CGMthrowaway | 2025-10-21 14:14:26+00:00
> The key question is how to convert an inherently continuous signal (speech/audio) into a discrete set of tokens. A single window of audio is usually somewhere between 10ms and 100ms. It's difficult to squish all that information down to a single "token" that represents the semantic and acoustic content for that window.

I read the article and confess some of the modeling parts were above my comprehension. But I would like to add that as an audio engineer, the "key question" you describe is solved, just not applied to transformer models (?).

An experienced engineer can look at a waveform in a DAW and identify specific consonants, vowels, specific words, etc quite fluently. And with tools like Melodyne - which already quantize audio semantically - they can identify (and manipulate) pitch and formants as well, turning an O vowel into an E vowel, or changing the inflection of a phrase (up-speak vs down-speak, for example).

I don't know how to apply this to a neural codec, but it seems like it shouldn't be that hard (that's my naivete coming through)
by Frieren | 2025-10-21 14:14:47+00:00
It is obvious that Amazon wishes to replace all its employees for cheaper alternatives. That is true for all big companies. How realistic is this plan that is the question.

American companies lie so often about the feasibility of future capabilities that it is becoming just background noise. If the plan is not realistic, if it is not based in well argued projects, then they are just lying to the public and to investors. Currently the bar is so low, that anything counts as "we just though that it was possible" so it is not illegal. That should be solved.
Show HN: ModelSignature – Get end-user feedback for your OS AI models
by FinnLennard | 2025-10-21 14:15:09+00:00
I was surprised to learn that open source model providers never get feedback/reports from their actual end-users. Once you publish your OS model, you only get feedback from technical users who find the HF community tab or manage to email you directly. I wanted an easy way to tell the model provider mid conversation that their model sucks & why.

I've been working on ModelSignature, a system that embeds a feedback URL (a “Model Signature”), directly into model weights using LoRA fine-tuning. Users can ask the chatbot "where can I report issues?" and the model responds with its ModelSignature page for bug reports and feedback. Providers get a detailed feedback/reports overview. Takes about 30 minutes on a T4 GPU. Since it's embedded in the weights, it persists wherever the model gets deployed.