MurphyA/hacker-news huggingface dataset:
by irishcoffee | 2026-03-04 00:47:50+00:00
You're asking the wrong question. The answer is 10%

The interesting question is power-to-weight, which was (apparently) a direct result of EPA regulations that were enacted in 1975. The below article, which I found from a search engine copying your question and looking at a few results, is an interesting read.

Ignoring all that, the actual question would be: how have car sizes and weights changed _in this region_ during this period of time. Sizes and weights of cars in brasil have little bearing to accidents in the PNW, for example.

https://carbuzz.com/new-vehicles-bigger-heavier-more-powerfu...
by zmmmmm | 2026-03-04 00:48:57+00:00
> Talos is a custom FPGA-based hardware accelerator built from the ground up to execute Convolutional Neural Networks with extreme efficiency

Makes it sound like it's new hardware. This is just (I'm inferring) software to program an off the shelf FPGA to do convolutions. Very minimal ones by the look of it (MNIST etc).
by true_religion | 2026-03-04 00:49:08+00:00
Are we talking about the same guy who purportedly never even read an article with their name on it containing multiple insulting false quotes and was summarily dismissed?

Mind you, I’m not purporting malice but their choosing the blame AI rather than brain fog, bad notes, accidental transcription, or any other human error which would us look down upon them more.

Right now, AI errors like this are excusable. Soon they won’t be.
by MadnessASAP | 2026-03-04 00:50:10+00:00
They are different from both the users and developers perspective. A developer can't prevent a user from entering invalid data, they can however check for invalid data and inform the user as such.

A user can't prevent a programmer from calling a function with a non-empty string, a developer however can ensure the arguments are valid before calling a function.

In both cases there is something the developer can do. Only in the 1st case is their something the user can do, but only if the program informs them of the problem.

BUT! And this but is something that really gets up my butt. If a programmer spits out a thousand non-fatal errors that I can't do anything about, I'm likely to miss the one error I can do something about. So that's also an important distinction between these 2 cases.
by bspippi1337 | 2026-03-04 00:50:47+00:00
Author here.

Just pushed a small improvement: `restless scan` now prints a simple ASCII API map directly in the terminal so the first command shows something visual.

Example:

$ restless scan https://api.github.com

API
│
├── Auth
│ ├─ POST /login
│ └─ POST /refresh
│
├── Users
│ ├─ GET /users
│ └─ GET /users/{id}

Still very early, but the goal is to make the first minutes of exploring an unfamiliar API faster.

Curious how others here approach API discovery.
by iso-logi | 2026-03-04 00:51:30+00:00
If you work at Palantir, your reputation is forever tainted in my mind.

You should not deserve a job for the rest of your life. You should be homeless and honestly, maybe end your life.

If your CEO supports Trump, that probably isn't the best thing either, although this is 1 million times better than being the tool used to break every laws, developing killing and spying machines.
by bb88 | 2026-03-04 00:51:52+00:00
What's interesting to me are the countermeasures against such a drone.

The US military has used microphone arrays and radar as well to determine the trajectories of local threats, from snipers to field artillery.

Probably next would be "lasers" to disable any threats.

Styropyro and Tech Ingredients both have had youtube videos on high powered lasers.
by alexpotato | 2026-03-04 00:52:06+00:00
> Because workers tend not to stay long, you pay for a lot of training.

I often wonder that if you paid $60K for a top quality support person instead of $30K for two average people (or even $20K for 3 bad people) then the following might happen:

- you would get better support calls

- happier customers

- longer tenured employees

- all of the above would lead to a reputation as a company with AMAZING support
by ilc | 2026-03-04 00:52:08+00:00
I think you over estimate how valuable really good Principal level talent is when you have AIs that can take over for entire teams.

As an older and higher up engineer, I worry more for the youngsters than myself. I'll find a spot. I'm using AI, I'm doing things at rates that are pretty crazy.

That's all powered by decades of good decision making practice. Youngsters don't have that. They don't have the painful lessons hard earned.
by mooglevich | 2026-03-04 00:52:13+00:00
My impression is that lots of companies that deal exclusively with the US govt are doing fine, but it doesn't seem like they'd draw the best talent or become the biggest companies. If that's OpenAI's fate, I'm okay with it.

I canceled my sub a while back and figured hey - worst case, I saved some money (since I subscribe to multiple AI services). Regardless, casting your one vote with your money is important.
by ljm | 2026-03-04 00:52:32+00:00
But if you imported a lifted truck, or another daft US vehicle like the Cybertruck into another country it would probably not be roadworthy and the traffic and speed calming measures are more appropriate.

Bullbars used to be a trend in the UK, for example, until they were band in the late 90s/early 00s because they were fatal to pedestrians.
by BlobberSnobber | 2026-03-04 00:53:15+00:00
I know what you mean, but Gnome was the DE that clicked the most for me (after I gave it a real try). I liked Gnome 2 and then 3 made me switch to KDE, then switched back. So I was actually completely wrong and, while writing this comment, I remembered what a pain it was to learn Gnome back then lol
by greiskul | 2026-03-04 00:53:26+00:00
> whether thinking requires exceeding the Turing computable

I've never seen any evidence that thinking requires such a thing.

And honestly I think theoretical computational classes are irrelevant to analysing what AI can or cannot do. Physical computers are only equivalent to finite state machines (ignoring the internet).

But the truth is that if something is equivalent to a finite state machine, with an absurd number of states, it doesn't really matter.
by LorenPechtel | 2026-03-04 00:54:19+00:00
And some of us do not believe the identity bit can be truly solved.

In the real world it's always people looking to suppress information or dissent that are pushing for such schemes. It always masquerades as protecting minors (protecting them from what? The one proper attempt to prove sexual materials are harmful found no evidence of said harm.) or as hunting for CSAM (and if you do implement an effective system it will get circumvented by putting relays in hostile countries.)
Show HN: Formualizer – Arrow-backed spreadsheet engine, 320 functions,PyO3+WASM
by ManfredMacx | 2026-03-04 00:55:03+00:00
Formualizer is a spreadsheet engine written in Rust: parse Excel formulas, track dependencies, evaluate with 320+ functions, mutate workbooks, undo/redo. Python bindings via PyO3, WASM for the browser. MIT/Apache-2.0.

The original motivation was server-side formula evaluation in Python. openpyxl reads and writes xlsx well but evaluates nothing - formula cells return None unless Excel cached values on last save. xlcalc actually evaluates but covers around 50 functions. If you needed XLOOKUP, SUMIFS with multiple criteria, IRR, XIRR, or dynamic arrays like FILTER and UNIQUE, you were either installing Excel on a Linux box or accepting the gaps.

There's a one-liner for the common case:

import formualizer as fz
fz.recalculate_file("model.xlsx", output="recalculated.xlsx")

Or drive it programmatically — load a workbook, change inputs, evaluate:

wb = fz.load_workbook("model.xlsx")
wb.set_value("Assumptions", 3, 2, 0.08)
wb.evaluate_all()
print(wb.evaluate_cell("Summary", 5, 3)) # =IRR(...)

You can also register Python callbacks as first-class formula functions that participate in the dependency graph.

The Rust and WASM targets are also fully supported - the engine is the core with Python, WASM, and a stable CFFI as targets.

Formal benchmarks are in progress!

Docs: https://www.formualizer.dev/docs
by overgard | 2026-03-04 00:55:04+00:00
I don't see what's non-sensical. The point of this technology, to many of the super wealthy, is to commoditize white collar skills and drive the price to zero. They're not really coy about this, if anything they won't stop talking about it. They couch it in language about being "afraid", but if they truly were they'd take steps to reduce harm - which they're not doing. The silver lining I guess is most of them don't actually understand the things they're trying to replace so they don't realize how far off they are.
by xvxvx | 2026-03-04 00:55:05+00:00
GLP-1 users often report reduced consumption of meat (e.g., 45-50% eat less beef/pork), dairy, eggs, seafood, and processed foods, alongside increases in fruits, leafy greens, and water.

https://www.greenqueen.com.hk/glp-1-drugs-meat-aversion-ozem...

A University of Arkansas survey of nearly 2,000 consumers found plant-based meat/dairy alternatives experienced the smallest drops in consumption (around 5%), compared to steeper declines for animal products.

https://sentientmedia.org/glp-1-users-lose-weight-and-taste-...

‘The greatest change in food preferences was in processed foods, with more than 70% of participants reporting consuming less of them.

Fruits, leafy greens and water were the only types of food that people reported consuming more of in the study.’

The vegetarian/vegan future is finally here!
Show HN: PreflightAPI – US airports, weather, NOTAMs and more via one API
by bberisford | 2026-03-04 00:55:43+00:00
I'm a private pilot and software engineer. I set out to build a 3D VFR flight planning tool — something that would let you visually plan a cross-country flight with real weather, airspace, and terrain.

Before I could build any of that, I had to build an entire data infrastructure first.

FAA airport data comes as fixed-width text files from the NASR subscription, updated on a 28-day cycle. Obstacles are a separate 56-day file with daily patches. NOTAMs require a formal application to the FAA's NMS system — staging approval, then production approval, OAuth2 token management. Weather data from aviationweather.gov comes as bulk XML cache files they'd prefer you download rather than polling their API. Airspace boundaries live behind ArcGIS REST endpoints you have to paginate through with a 10-minute timeout.

I did eventually build the flight planning app — it's fully functional. But it caused problems with a previous employer who considered it competitive, and I lost my job over it. To avoid further legal headaches, I shelved the app and pivoted to the infrastructure underneath it.

That became PreflightAPI. Everything is synced into PostgreSQL with PostGIS by Azure Functions cron jobs — no external API calls happen at request time. The API just serves from the database, so latency stays low and you're not dependent on the FAA's uptime.

What you get with one API key:

- 19,600+ US airports with runways, frequencies, and terminal procedures
- Real-time METARs, TAFs, PIREPs, SIGMETs, G-AIRMETs
- NOTAMs with spatial queries (by airport, radius, or route corridor)
- Airspace boundaries as GeoJSON (Class B/C/D/E, restricted, MOAs, etc.)
- 625k+ obstacles from FAA's Digital Obstacle file.
- E6B utilities (crosswind, density altitude, wind correction, pressure altitude, TAS)
- VFR navlog generation with automatic TOC/TOD waypoints, winds aloft interpolation, and fuel tracking
- A composite briefing endpoint — one request returns all weather, NOTAMs, and hazards along a route

I just launched and have one paying customer. Free tier is 5,000 calls/month. Docs: https://preflightapi.io/docs

I'd appreciate feedback on the API design or what's missing or if this is something you'd find useful or interesting :)
by Austin_Conlon | 2026-03-04 00:55:55+00:00
SwingVision is the AI tennis & pickleball app that provides automated stats, highlights, and line calling using just your phone. Our mission is to democratize the pro sports experience for all athletes.

- Head of Marketing: https://app.deel.com/job-boards/swingvision/job-details/f248....

- Senior iOS Engineer: https://app.deel.com/job-boards/swingvision/job-details/cf4e....

- Data Labeling Intern: https://app.deel.com/job-boards/swingvision/job-details/a9a7....

All positions are in Berkeley, California.
by ManfredMacx | 2026-03-04 00:56:00+00:00
Two architectural decisions worth explaining for anyone curious about the internals:

Arrow-backed storage: cell data lives in Apache Arrow arrays, organized as stripes (blocks of rows x columns). Range operations like SUMIFS, VLOOKUP, and XLOOKUP receive typed numeric slices (&[f64]) directly rather than iterating cell-by-cell. This is what makes criteria aggregates over large ranges fast rather than a loop over boxed values.

Incremental dependency graph: every formula registers its precedents at parse time. On edit, we propagate a dirty set via reverse edges and only re-evaluate the affected subgraph. For a model with many formulas, a single-cell edit typically touches a small fraction of them. Formal benchmarks are in progress across linear chains, fan-out/fan-in, SUMIFS-heavy, and spill-heavy workload shapes.
by game_the0ry | 2026-03-04 00:56:27+00:00
> People can elect racists. rapists, conmen, human traffickers, pedophiles, and even dictators. Doesn't mean I have to work with them or accept any of those as normal.

Trump is no saint, but you are turning him into a cartoonish villain. That never stopped democrats from taking his donation checks, did it?

> Resisting tyranny is a core tenant of democracy.

No, the core tenant of democracy is everyone gets a vote and you agree to live with the outcome, bc you get a vote too. And if you do not agree with the outcome, then you are the tyrant.
by BXLE_1-1-BitIs1 | 2026-03-04 00:57:16+00:00
Not yet discussed is that European countries have standards mandating lower hoods that are not as hazardous to pedestrians in a collision.

Getting hit by a pickup or high profile SUV is much more likely to kill you than a compact.

Adding bull bars to the front virtually guarantees a fatal head injury to a child.
by SilverElfin | 2026-03-04 00:57:40+00:00
These data free claims don’t ever honestly talk about how they simply made driving so inefficient and bad on purpose so that the other, slower modes, don’t look as bad. Increasing travel times and inconvenience isn’t a win and safetyism is irrational. If you can’t make fast driving safer you haven’t achieved anything really. And as for vision zero - you’ll never get perfect safety and it isn’t worth the tradeoffs.
by adamtaylor_13 | 2026-03-04 00:57:56+00:00
I agree in principle, but, for me, it all comes down to execution.

I used a product that implemented a VERY good AI chatbot as part of their email support and it was better than human support. It was nearly instant in its response time and answered all of my questions perfectly.

In fact, it wasn't until after the interaction that I realized it was an AI bot! Pretty good IMO and I'd prefer that interaction over holding "...because your call IS important to us."
by LoganDark | 2026-03-04 00:57:57+00:00
- When you buy a new device you get a few notes in System Settings encouraging you to try the free trials as well as buy AppleCare. You can dismiss these permanently with a couple clicks on each.

- When you open the respective apps they ask if you want to try the free trial.

- Apple once abused the Wallet app to send notifications about a theatrical release.

Other than that I'm not sure what the fuss is about.
by jeffparsons | 2026-03-04 00:58:08+00:00
Amazon, for example, charges us for cloud resources and then charges us again (handsomely) for the privilege of submitting bug reports to them. And then sometimes, even with a clear, deterministic repro for a bug with no plausible workaround (besides "stop using the feature), where the fix is probably as simple as "pull a fix from upstream open source repo" or "sic Claude on it for 10 minutes", the bug remains open for literally years.

This is very different from "I didn't read the instructions on the screen and now I'm calling support". Both scenarios exist. I have some sympathy for businesses facing the latter, and much less for businesses facing the former.
by SpicyLemonZest | 2026-03-04 00:58:56+00:00
I'm not saying they're going to blow up next month, but OpenAI is substantially overleveraged on being a "wave of the future" company where all the smartest people want to work and all the best other companies want to do business with. I don't think a world where they become Palantir 2 can support their current capital expenditures.
by pydry | 2026-03-04 00:59:05+00:00
I had a friend who worked for a company that built AI call centres. I naively thought that customers would use it to do "password reset" type workflows and have an escape hatch for customers to talk to a human if the AI couldnt handle what they needed.

Surprisingly few of them wanted the ability to escalate to a human. They mostly wanted customers to just fuck off.
by rmunn | 2026-03-04 00:59:33+00:00
Very glad someone actually read the decision and understood it, despite how much reporting on this has been poor. This was not a case about "can AI-generated art be copyrighted?", despite all the reporting misleading people. (Including me, until somebody finally pointed me at the actual decision — https://www.lexology.com/library/detail.aspx?g=24e0581c-2c28... — and I could read it for myself). The judge literally quoted that case where a monkey picked up a photographer's camera and triggered it, saying that only humans can hold copyright: not animals, and not tools. And he also specifically said that he was not addressing "how much input is necessary to qualify the user of an AI system as an ‘author’ of a generated work".

So it's not the case, contrary to what many people (including me!) have said before, that the decision was "works produced by AI tools cannot be copyrighted". Rather, it's "you cannot assert that the AI tool itself is the author, you must assert that a human is the author". And the amount of work put into the prompt will definitely matter.

In other words, if you just prompt “draw a picture of a cat” then it’s possible you didn’t put enough work into the image to count as the author. But if you have a specific picture in mind that you want to create, and you prompt “draw a picture of a two-year-old cat with orange fur and orange eyes, in a sitting position, looking out of the window of a train. The interior of the train is lit with dim orange lighting. Outside, it is night and there is a full moon visible through the train window,” and then you refine that prompt until the AI produces an image close enough to what you had in your mind’s eye, then that image is clearly your own creation: the AI tool was just the tool you used to take the idea in your head and turn it into an image that other people could look at. Whether you use a paintbrush, a digital-art creation tool like Krita, or a digital-art creation tool like Midjourney, as long as you came up with the concept and did the necessary work to make the tool produce the image, then you're the author and you can assert copyright. (Note that this paragraph is my own opinion, not the judge's ruling, but I think it's a pretty defensible opinion: "draw a picture of a cat" might not be specific enough to assert that you created the resulting image, but "draw this very specific picture that I have in mind" is specific enough).
by kachow6 | 2026-03-04 00:59:51+00:00
Beatdapp | Data Platform Engineer | Vancouver, Canada | ONSITE (Hybrid) | Full-time

Beatdapp is a ~50-person venture-backed startup that helps music streaming platforms detect and eliminate fraud. We process data at TB/PB scale to protect the royalty ecosystem and power clean, authentic recommendations.

We're looking for a Data Platform Engineer to help build and own our ML recommendation systems. This includes K8s cluster management, data pipelines and processing systems, and live inference APIs. You'll have the opportunity to work on our organization ML platform and shared engineering systems as well. It's a tight-knit team where people typically work on multiple projects based on interest and opportunity.

Stack: GCP (BigQuery, GCS, Pub/Sub), GKE, Airflow, Python, Redis, Bigtable.

The team is collaborative, and low-ego. Lots of people interested in tabletop games and video games.

Full posting: https://beatdapp.breezy.hr/p/c031b5e1efd1-data-platform-engi...

Or reach me directly: kevin [at] beatdapp.com
by sfink | 2026-03-04 01:00:08+00:00
Being able to name especially egregious forums is the point. AI slop isn't worse than preceding slop, but it is more widespread, partly because it's more socially acceptable than racism, sexism, and ignorance, and partly because it's harder to identify.

Similarly, email spam that is easy to automatically categorize is not a problem.

Making slop less sloppy makes the problem worse, not better. You could claim that that's only up to a threshold, but there's a pretty strong information theoretic argument against that.
by paulryanrogers | 2026-03-04 01:00:13+00:00
My concern is that about half of folks are below average intelligence. And new generations will be exposed to AI from a young age, possibly lacking the rigor and experience of those who came before. I'm afraid they will trust the AI too much, and find themselves quickly in over their heads with no way back.

Perhaps I'm just pearl clutching. I guess time will tell.
by p1necone | 2026-03-04 01:00:44+00:00
Damn, everyone is using AI for copyediting now aren't they? Once you notice the patterns you see it everywhere.

* "This isn't X. It's Y"

* "Some sentence emphasizing something. Describing the same thing with different framing. Describing it a third time but punchier.

* The em-dash of course

* A hard to describe sense of "cheesiness"

I only hope the models get good enough to not be so samey in the future.
by lokar | 2026-03-04 01:01:13+00:00
It's also important to understand that this is not a binary situation. You will never keep 100% of the kids from 100% of the inappropriate material. So it should be a debate about levels, and trade-offs.

IMO, the approach of having the large / popular commercial OS platforms ask you the birthday of the primary user on install (and secure that so it can't be changed), and then reveal the age (bucketed to a range) to apps. If you don't have kids, or care what they see, just put Jan 1 1900 (or have an explicit opt-out, which puts you in the last bucket). After that it's up to parents to parent.
by foresto | 2026-03-04 01:01:21+00:00
If I'm contacting a company for help from a human, it's because I haven't found the solution in the manual, the out of box experience, tutorial documents, FAQ pages, and so on and so forth. More often than not, I'm calling to do the company the favor of reporting an unaddressed failure mode in their service, often with technical details that would help their staff quickly identify and fix the cause (and reduce their support call volume)... if only that information could be delivered to the right people.

I don't have infinite time or patience, though. When blocked by a moat of hold times, chat bots, first level support scripts, etc, I will give up.

Yes, calls like mine are in the minority. But they are especially valuable, and I think well worth their share of the costs you describe.

Maybe companies should be identifying customers with above average tech skills, and routing them to better support channels next time they call.

Maybe we need shibboleet.

I don't know what the best solution is, but there must be a better way to do triage than funneling everyone into a flowchart of counterproductive misery, as is widespread today.