MurphyA/hacker-news huggingface dataset:
by jrochkind1 | 2025-10-14 17:53:44+00:00
> No, no you don’t, you can deploy your modules to their own repos and work on them that way, though then you lose the nice property of being able to atomically deploy changes across your entire codebase when an API changes.

That's not all you lose. You also lose being able to have a single git SHA to describe the state of the entire system at any time. And, lose the naturalness of running CI on the entire system at a given state (and knowing what CI ran on what state), although you can rig that up unnaturally of course.
by jsight | 2025-10-14 17:53:55+00:00
In the US, the 2021 Model Y is known to have some fairly significant battery issues. It appears to have started around when they updated from 74kwh to >80 kwh packs. Unfortunately, the replacements are often refurbished packs that also fail early.

I'm not sure about yours, but if you do end up needing a replacement, replacing the car soon after might be a wise move.
Show HN: Scorecard – Evaluate LLMs like Waymo simulates cars
by Rutledge | 2025-10-14 17:54:10+00:00
Hey HN! I built self-driving sim and eval at Waymo. Now I’m building Scorecard to bring that approach to agent eval: reproducible, automated scoring for AI. Scorecard lets you:

- Run LLM-as-judge evals on agent workflows: test tool usage, multi-step reasoning, and task completion in CI/CD or in a playground.

- Debug failures with OpenTelemetry traces: see which tool failed, why your agent looped, and where reasoning went wrong.

- Collaborate on datasets, simulated agents, and evaluation metrics.

Try it out → https://app.scorecard.io (free tier, no payment required!)

Docs → https://docs.scorecard.io

We’re a small team (4 people), just raised $3.75M, and have early customers using Scorecard for evals in the legal-tech space. We're on a mission to squash non-deterministic bugs. What's the weirdest LLM output you've seen?
by k310 | 2025-10-14 17:54:19+00:00
Kudos to you. I just want to mention something really off the wall in ios.

Often, there's a photo that I need to convert or remove its background in my photo album.

If you can imagine this, save it to files, and hold down for quick actions, convert, and then "save" back to the photo album.

This, to me, is asymmetrical and bizzare as any hidden Unix command that only wizards know.

Especially, because there is a giant asymmetrical difference between opening a photo and holding your finger down to invoke a menu (different from the former)

Of course, it validates your online tools.

And MacOS handles things completely differently. I use finder only, because there is no way I am locking my photos into any app, having done mass photo extractions over the years, always losing something along the way.

The average person must be at a total loss with all the machinations.

Thx!
by hamburglar | 2025-10-14 17:54:41+00:00
I was part of a small team that built a $300M company on Ruby and MySQL that made every scaling mistake you can possibly make. This was also the right decision because it forced us to stay lean and focus on what we needed right now, as opposed to getting starry-eyed about what it was going to be like when we had 10 million users. At every order of magnitude, we had sudden emergencies where some new part of the system had become a bottleneck, and we scrambled like crazy to rearchitect things to accommodate. It was hard, and it was fun. And it was frugal. We eventually hit over 10 million users before I left, and I can’t say I regret the painful approach one bit.
by anotherpaulg | 2025-10-14 17:55:21+00:00
I regularly use LLM-as-OCR and find it really helpful to:

1. Minimize the number of PDF pages per context/call. Don't dump a giant document set into one request. Break them into the smallest coherent chunks.

2. In a clean context, re-send the page and the extracted target content and ask the model to proofread/double-check the extracted data.

3. Repeat the extraction and/or the proofreading steps with a different model and compare the results.

4. Iterate until the proofreadings pass without altering the data, or flag proofreading failures for stronger models or human intervention.
by t_mann | 2025-10-14 17:55:44+00:00
> I personally know HRs who consider the "PhD" tag in a CV a red flag.

Which should only tell us what a cancer HR departments are. Filtering someone from talking to the hiring department, for the crime of doing a PhD, and telling others about it - to me this sounds more likely like someone getting a kick out of wielding the bit of power they have over others than a useful contribution to society.
by mschuster91 | 2025-10-14 17:56:03+00:00
> Model 3 and Y are long in the tooth, getting stale.

Musk's antics and focus issues (i.e. too many resources focused on Cybertruck) aside: The thing with Tesla is, they operate completely antithetical to the classic car industry.

The classic car industry designs a model series and signs four-ish year contracts with all the suppliers for the expected amount of vehicles to sell, with a few extension clauses to cover for higher than expected demand. During these four years, the "rebrush" is designed, keeping most of the car the same but incorporating learnings during production, newly developed technologies (e.g. improved compute power) and maybe retooling to make production more efficient, and then it's another four-ish years that are used to make the next generation. That business model makes sense when operating with a shit ton of suppliers, so both the manufacturer and the suppliers can plan for the mid term.

Tesla however, just like SpaceX, takes pride in not following this business model. As much as possible is made in-house, which means less vendors to deal with, and that enables continuous improvements and iteration.

The downside is that it makes life so much harder for spare parts because any given part might just have been in production for a few weeks if not days, and for consumers and consumer protection agencies it's orders of magnitude harder to warn about construction defects because there is no such thing as a "generation" any more.
by andout_ | 2025-10-14 17:56:06+00:00
The app in question uses LLMs to analyze golf swings from recorded videos. Users were still getting their analysis (which can saved to your photo gallery), it's just that the data wasn't being stored as part of the users account. The core functionality was working perfectly.

This is the perfect example of what I was trying to illustrate: technical experts would immediately flag this as "broken" because data persistence failed, but from the user's perspective, the app was delivering what they paid for.

Yes, it's not perfect, but the users didn't seem to mind as it was still solving their problem.
by jaccola | 2025-10-14 17:56:15+00:00
RAG is just "Retrieval Augmented Generation", vector similarity is one way to do that retrieval but not the only. Though you are right, there is really no retrieval step augmenting the generation here, more like just a validation step stuck on the end.

Though I imagine scenarios where the PDF is just an image (e.g. a scan of a form), and thus the validation would not work.
by nobody9999 | 2025-10-14 17:56:54+00:00
From TFA:

>I've held my Pentagon press pass for 28 years. For most of that time, when I wasn't overseas in combat zones embedding with troops, I walked the halls, talking to and getting to know officers from all over the globe, at times visiting them in their offices.

Without press credentials, the above becomes impossible.

You seem to be under the impression that these folks sit in waiting areas until a "press conference" is announced, then copy down whatever some talking head says and publishes that and only that.

There may well be some who do so, but that's not journalism, friend.
by throwup238 | 2025-10-14 17:57:25+00:00
Yes, though depending on the product line it may be binned into lower quality parts first. Remember though, the marginal cost of these chips is so small the packaging is usually more expensive than the silicon. They often get tested before the wafer is even sliced up so any waste is hardly worth mentioning until you get into modern processes with large error rates and huge chips like CPUs.
by entropicdrifter | 2025-10-14 17:57:35+00:00
Just piling on to say that there was also Alien: Resurrection on PS1 that used the modern dual-stick movement/aiming setup. It was one of the first FPSes to do so, at least as the default control scheme. Reviewers at the time mostly hated it and called it awkward, probably because they were comparing non-aim-assisted console FPS controls to PC FPSes of the era, which is kind of fair tbh. The game's difficulty was also probably too high for the time, especially given the brand-new control style.
by basfo | 2025-10-14 17:57:41+00:00
Great find! and I don’t want to underestimate the discovery by any means, but...

We humans are predisposed to see anthropomorphic shapes in things. I understand why that could be interpreted as a face, but at the same time, it could just be a random shape. It’s just a “T” shape. Sure, it could look like a nose and a pair of eyes, but it could also just be... something.
by hinkley | 2025-10-14 17:57:46+00:00
I wonder how many OTA updates for cars could be left as a task for the mechanic, the way airplane updates are.

Airplanes are required by regulation to have a backup of all software to operate the plane, presumably so that a plane can’t get stranded by an emergency landing requiring system resets. What we built replaced a physical folder full of floppies or CDROMs taking up space in the cockpit. Some of my coworkers insisted it was for weight but I’m absolutely sure that pizza box server weighed more than the book.
by dragonwriter | 2025-10-14 17:58:06+00:00
Well, I said “an”, not “the main” for a reason, but OAN is:

(1) after having been dropped form all major cable and satellite carriers, coming back since Trump came to power (picked up by Spectrum earlier this year, and given the administration openly favoring them and using licensing pressure to shape carrier decisions, that seems likely to spread) [0], and

(2) under the Trump Administration, the source of news coverage for the literal government media (Voice of America.) [1]

[0] https://www.prnewswire.com/news-releases/herring-networks-an...

[1] https://www.theguardian.com/us-news/2025/may/07/voice-americ...
by ildari | 2025-10-14 17:58:07+00:00
The idea is that quarantined LLM has access to untrusted data, but doesn't have access to any tools or sensitive data.

The main LLM does have access to the tools or sensitive data, but doesn't have direct access to untrusted data (quarantine LLM is restricted at the controller level to respond only with integer digits, and only to legitimate questions from the main llm)
by Xss3 | 2025-10-14 17:58:56+00:00
Software driven changes could occur too! Maybe the next model will beat the pants off of this with far inferior hardware. Or maybe itll be so amazing with higher bandwidth hardware that anyone running at less than 500gbs will be left feeling foolish.

Maybe a company is working on something totally different in secret that we cant even imagine. The amount of £ thrown into this space at the moment is enormous.
by toomuchtodo | 2025-10-14 17:59:01+00:00
https://old.reddit.com/r/ADSB/comments/10l2euc/adsb_exchange...

https://www.jetnet.com/resources/press-releases/jetnet-acqui...

https://old.reddit.com/r/ADSB/comments/17pq14p/best_adsb_fli...

https://www.documentcloud.org/documents/23963235-golden-hamm...
by theamk | 2025-10-14 17:59:04+00:00
> performance regressions, heat maps, kernel issues etc.

> AWS takes that away and makes you focus on the product.

ha ha ha no. Have been dealing with kernel issues on my AWS machines for a long time. They lock up under certain kinds of high load. AWS support is useless. Experimenting with kernel version leads to performance regressions.

AWS is great if your IT/purchasing department is inefficient. Getting a new AWS machine is instant, compared to getting purchasing to approve new machine and IT allocating it to you. But all the low-level stuff is still there.
by zzzeek | 2025-10-14 17:59:49+00:00
I've got a node in my thyroid that can reasonably only be removed chemically, which has risks of blowing out my whole thyroid. ultrasound treatment is now available for it, however have been going to my endocrinologist every four months for a bloodwork checkup (because I need to take thyroid-suppressing drugs until the node can be removed) and am still waiting for him to have heard about this treatment outside of my own telling him so (even though his larger medical organization, NYU, offers it, it still seems to not be routine within his practice).
by manchmalscott | 2025-10-14 17:59:59+00:00
Well, this is probably my final straw. I guess it's finally time to switch to waterfox. I can't remember the last time Mozilla pushed out an update to firefox with a single good feature.

I swear Mozilla must have fired all their QA staff to free up money to throw at AI slop, firefox has become easily the worst piece of software that I still use regularly.

God I miss when I actually liked software, or felt anything other than disgust or apathy towards this industry. Everything sucks now.
by liuliu | 2025-10-14 18:01:01+00:00
Feels like a side-effect of forever 0.x version symptom (I am guilty of as well). Even though semi-ver says 0.x can do whatever, people don't associate enough disruptive changes to it, whereas 0.4.x if it is 1.x, then it is much clearer this is a 2.x release.

All things considered, this is probably just a tiny footnote in this software's life.
by bryanlarsen | 2025-10-14 18:01:07+00:00
Auto companies aren't valued as lowly as the P/E ratio indicates. Auto companies have massive amounts of debt, and debt has higher priority than equity.

Instead of "P" you should use "Enterprise Value", which is Equity + Debt - Cash. (cash subtracted to prevent double counting it).

Their EV/E ratios are much more reasonable. And Tesla's used to be only a small multiple of traditional companies, when I owned shares. Now they aren't, and I don't own shares.
by saivishwak | 2025-10-14 18:02:20+00:00
AutoAgents is a multi-agent framework built in Rust, designed for performance, safety, and scalability. It enables the creation of intelligent, autonomous agents.

With AutoAgents, you can build Cloud-Native Agents, Edge-Native Agents, or even Hybrid Models. The framework features a modular architecture with swappable components — memory layers, executors, and communication backends can be replaced with minimal effort.

We’re actively developing AutoAgents and would love to get feedback, ideas, and collaborators from the community.
by chatmasta | 2025-10-14 18:02:29+00:00
You can do this with any capture device if you pipe the output to a FIFO handle and open it in wireshark. It can be a bit janky and you’re usually better off using the GUI configs when they’re available. But it gives you a bunch of flexibility to do things like “capture tcpdump in a docker exec in an SSH session on a remote host” [0].

[0] https://gist.github.com/milesrichardson/fcec8c6d54a21845dd9f...
by liampulles | 2025-10-14 18:02:50+00:00
Early in my career I was given the opportunity (in between consulting jobs) to make an MVP for a revamp of our internal employee management system.

I seized the opportunity to deploy my own Kubernetes cluster, and create a sidecar to help with user authentication (because of course we'd need a common way to do this for the multi-language suite of microservices we'd be building). I used up pretty much the entirety of my time designing and architecting how this colossus was going to work, and by the end I realized how foolish the whole endeavor was.

That was really an instructive failure - at my next job, I got everyone behind turning our team's microservices back into a modular monolith, and it worked very well.
by evil-olive | 2025-10-14 18:02:57+00:00
sdr-enthusiasts [0] produces some very nice self-contained Docker images as an alternative to the `curl | sudo bash` style of install script that plagues a lot of the ADSB ecosystem.

most likely all you need is their "ultrafeeder" [1,2] image.

0: https://sdr-enthusiasts.gitbook.io/ads-b

1: https://sdr-enthusiasts.gitbook.io/ads-b/foundations/deploy-...

2: https://github.com/sdr-enthusiasts/docker-adsb-ultrafeeder
by Astronaut3315 | 2025-10-14 18:03:03+00:00
I drove a Genesis G80E for a week and I understand where you're coming from. The regen was a bit awkward and I had the same issues. The Mercedes EQE 350 I rented recently did better there.

Tesla has their regen dialed in quite well. I've read Ford's is good as well, but I haven't had a chance to drive one yet.
by jsmith45 | 2025-10-14 18:03:13+00:00
Might be worth checking out Tidal's Mondo Notation, which while not quite Haskell syntax is far closer to it, being a proper functional style notion, that unifies with mini notation, so no need for wrapping many things in strings.

Looks like this:

mondo` $ note (c2 # euclid <3 6 3> <8 16>) # *2 # s "sine" # add (note [0 <12 24>]*2) # dec(sine # range .2 2) # room .5 # lpf (sine/3 # range 120 400) # lpenv (rand # range .5 4) # lpq (perlin # range 5 12 # \* 2) # dist 1 # fm 4 # fmh 5.01 # fmdecay <.1 .2> # postgain .6 # delay .1 # clip 5 $ s [bd bd bd bd] # bank tr909 # clip .5 # ply <1 [1 [2 4]]> $ s oh*4 # press # bank tr909 # speed.8 # dec (<.02 .05>*2 # add (saw/8 # range 0 1)) # color "red" `

If actual tidal notation is important, that has been worked on, and would look like:

await initTidal() tidal` d1 $ sub (note "12 0") $ sometimes (|+ note "12") $ jux rev $ voicing $ n "<0 5 4 2 3(3,8)/2>*8" # chord "<Dm Dm7 Dm9 Dm11>" # dec 0.5 # delay 0.5 # room 0.5 # vib "4:.25" # crush 8 # s "sawtooth" # lpf 800 # lpd 0.1 # dist 1 d2 $ s "RolandTR909_bd*4, hh(10,16), oh(-10,16)" # clip (range 0.1 0.9 $ fast 5 $ saw) # release 0.04 # room 0.5 `

Only the actually implemented functions, and implemented custom operators are available even when that works, so not all tidal code can necessarily be imported.

But it is currently broken on the REPL site because of https://codeberg.org/uzu/strudel/pulls/1510 and https://codeberg.org/uzu/strudel/issues/1335
by zpeti | 2025-10-14 18:03:39+00:00
The answer is fairly obvious, humanity is always more obsessed with potential value than actual value. Elon sells that potential very well, but he does actually follow up in a decent way.

Turning the impossible into late is a legitimate business strategy, because you create markets that weren't there before (like cheap satellite launches).

And he has a history of doing this, and he's trying to do it again with optimus and robotaxi. There's massive potential in humanoid robots and robotaxis, which is why people are willing to take a risk. You might think that's irrational, and that's fine. Others do not.

Compare this to other car companies, they don't offer any vision of changing the future in any major way or bringing new products to market. That is boring and predictable. Still valuable, but not as much as Tesla.
by legitster | 2025-10-14 18:03:39+00:00
> I am personally unsure of the value of these press pools in the face of modern 'PR'; as far as I can tell, all they do is generate 'clippable' videos.

Very much the opposite - the press pool generates a massive amount of cross-verified content for distribution to all news agencies. The agencies then clip and edit and nip and tuck the press pool coverage as they see fit.

Obviously the press pool only gets all the talking points they want them to, but also the press pool is literally there following around the president all day, so it's also really hard to hide things from the press pool.

For example, the press pool knew of Obama's smoking or FDR's wheelchair or RFK's... indulgences. As part of the unwritten gentleman's agreement they never broke news on this stuff, but they were also witness to it and recorded it for later.
by echelon | 2025-10-14 18:04:13+00:00
You mean cancer.

Or a wicked disease state like Huntington's that causes your DNA to slip.

Simple failures with catostrophic outcomes are much more likely than rewiring and restarting all of the developmental program across huge cell and tissue populations.

It would be more likely to grow transplant tissue exogenously. It's far safer than using the body as a test tube.

These gene editing techniques are used to fix simple (typically one cause) genetic diseases. Not reengineer live organisms "in flight".
by AlotOfReading | 2025-10-14 18:04:19+00:00
Keyword "megalith". We have older carved statues. We have older carved, stone statues. We have older, carved stone statues depicting people, as well as statues from this same site that are full body.

It's from basically the same period and culture as urfa man, but at a site that's been initially dated a few hundred years earlier and is generally understood to have been inhabited first. It's contemporaneous with the famous T-pillars at Gobekli Tepe. The important thing is that this is the first T-pillar discovered with a human face, aside from the one with just a human outline.
by reaperducer | 2025-10-14 18:04:23+00:00
Probably a safeguard to keep sonebody from unplugging something during the update.

I can't speak about other cars, but my EV has nothing you can unplug. It's not like a regular car where stuff is exposed.

All it has under the hood is a storage space for charging adapters, a first aid kit, and a cap for the windshield washer fluid.

Even accessing the regular 12V battery takes a bunch of time and tools. The manual states several times that it should never ever be used to jump start another car, though it doesn't explain why.
by ashtonsix | 2025-10-14 18:04:54+00:00
If the data is already in GPU memory, yes. Otherwise you'll be limited by the DRAM<->VRAM memory bottleneck.

When we consider that delta coding (and family), are typically applied as one step in a series of CPU-first transforms and benefit from L1-3 caching we find CPU throughput pulls far-ahead of GPU-based approaches for typical workloads.

This note holds for all GPU-based approaches, not just PTX.
by array_key_first | 2025-10-14 18:05:01+00:00
> A single human with a plow replaced 20 humans with shovels.

Right, my point is, that single human cannot now be replaced with a plow because a plow and a human are two distinctly different things.

This is the opposite of the premise of AI, which is that AI and humans should be as similar as possible.

I can't get a plow to ride a plow because it doesn't have legs. It's made of metal.

I CAN get an AI to prompt AI because that's what AI does.

So again, even if you create X Y Z jobs, surely the goal then is to replace those jobs with AI? Like we can get rid of programmers, okay great. Now we need more people to write specs. Okay great.

Um... Why not have the AI write the specs? They can be different AIs. It's software, it's trivially copiable, unlike flesh and bones.
Ask HN: Where can I track training cost trend for AI models?
by hedayet | 2025-10-14 18:05:21+00:00
I'm curious how the cost of training AI models (compute, energy, data, etc) has changed over time.

Are there any public resources or datasets tracking training costs for open-weight models (I'm guessing this data is hard to get for closed models, but happy to be proved wrong.)

I'm especially interested in understanding which architectural changes (e.g., attention variants, parameter sharing, mixture-of-experts) have led to major cost optimizations, and NOT just from the companies behind these models, but from anyone who has trained or replicated them.
by kodomonocch1 | 2025-10-14 18:05:34+00:00
SEE (Semantic Entropy Encoding) is a schema-aware JSON compression format. It keeps JSON searchable while compressed, cutting I/O and CPU cost. Benchmarks: ~19.5% of raw size, lookup p50 ≈ 0.18 ms.

Article: [Medium link] Slides: [SpeakerDeck link] GitHub: [see_proto repo link]

Curious about your thoughts — especially from those using Zstd or Parquet in production. What would be your biggest blocker for adopting schema-aware compression?