MurphyA/hacker-news huggingface dataset:
by bjt | 2025-10-21 16:48:21+00:00
The problem is more about regulatory capture. An industry adapts to a regulation, and creates winners and losers. Once the regulation no longer makes sense (costs taxpayers/consumers more than it benefits), those who are winning from it have a strong interest in keeping it around anyway.

A good example is the state franchise laws against car manufacturers owning dealerships. Why can't Toyota sell me a car directly? Direct manufacturer sales seem to work fine in other contexts (e.g. Ikea). In Europe they're moving more and more direct sales. There's no good reason to keep them here in the US, but the dealership owners who benefit from these laws are the only people impacted directly enough to bother hiring lobbyists.
by Legend2440 | 2025-10-21 16:48:45+00:00
We've done this before, and it turned out great.

In the industrial revolution, tractors and machine looms and steam engines did all the old 'menial' jobs. We just invented new jobs that pay better with all the extra wealth created by automation. The middle class grew and quality of life skyrocketed.

It was arguably the best thing to ever happen to the world.
by thadt | 2025-10-21 16:49:23+00:00
* Opens Github repo

* Opens Cargo.lock [1] and pnpm-lock.yaml [2]

* Closes Cargo.lock and pnpm-lock.yaml

* Goes to find a Tylenol

At least with open source we can see the sausage getting made...

[1] https://github.com/votingworks/vxsuite/blob/main/Cargo.lock

[2] https://github.com/votingworks/vxsuite/blob/main/pnpm-lock.y...
by pcthrowaway | 2025-10-21 16:49:52+00:00
Imagine if each person receives a "Thing-doer 3000" then. The people can contract out their own personal robots and collect wages. The technology improves their lives, the same amount of work gets done, and the same wages are paid out.

The problem is that under capitalism, the people get replaced by "Thing-doer 3000" bots which are owned by other large companies; the people don't benefit, and ultimately it even changes the economy when people have less work due to being replaced.

People working isn't needed for a "working economy"; things need to get done, to be sure, and right now people are needed to do those things, but that may not always be the case. Making pointless work for people to do is about as reasonable as replacing taxi cabs with rickshaw drivers, and power-tools with manual tools "just because"
by y-c-o-m-b | 2025-10-21 16:50:44+00:00
I was on one of the core AWS teams. I lasted 3 years and 1 month, to your point hah. I left about a year ago. My stress levels were through the roof during the time I was there. It truly was one of the most toxic stressful places I've ever worked, second only to Intel.

The largest contributor of stress being on-call rotations where getting paged between 12am-6am each night was basically a guarantee. God help you if it was a holiday and you got a high sev page, where the people that you really need are all out of pocket. The many many many instances of their security "regime" relentlessly paging us in the middle of the night for things like having an S3 bucket for static website assets; despite numerous exceptions given by L7+ leadership.

I disagree with the notion around "short documents", not only were they quite lengthy at times, but they actually made the process of "busywork" worse by adding more overhead to trivial matters.

Add on the layoffs and "return to office" horse-shit excuses and it's no wonder nobody wants to go back.
by ryandvm | 2025-10-21 16:50:53+00:00
Part of the reason this is possible for us is because the National Weather Service currently provides a free feed of raw (Level 2) radar data from their NEXRAD network (https://registry.opendata.aws/noaa-nexrad/).

Assuming other national data feeds could be acquired and decoded at a fairly low cost, then other feeds could theoretically be added.

I suppose whether or not this project is successful is probably the determining factor in our case.
by kristintynski | 2025-10-21 16:51:01+00:00
Repo: https://github.com/ktynski/SimpleUniverse

These are not fits. These are pure derivations from φ — the golden ratio:

1. Muon/electron mass ratio • Observed: 206.768 • Derived: φ⁴ = 206.765 (0.0013% error)

2. Tau/muon mass ratio • Observed: 16.817 • Derived: φ³ = 16.817 (exact)

3. Fine-structure constant (at Mz) • Observed: 127.955 • Derived: (4π³ / φ¹¹) × C = 127.934 (C derived from E₈ structure)

4. Weak mixing angle (sin²θW) • Observed: 0.23122 • Derived: 0.231148 (0.03% error)

5. Charm/up quark mass ratio • Observed: ~600 • Derived: φ⁸.4 = 600.045 (0.0075% error)

6. Top/charm mass ratio • Observed: ~135 • Derived: φ⁷.1 = 135.025 (0.018% error)

7. Mutual information ratio (I(A:B)/I(B:C)) • Observed: ~1.615 • Derived: φ = 1.618034 (0.18% error)

8. Quantum decoherence peak • Observed: ~1.611 • Derived: φ = 1.618034 (0.4% error)

9. Fibonacci anyon quantum dimension • Observed: 1.618034 • Derived: φ (exact, from braiding theory)

10. Dark energy scale • Observed discrepancy: 10⁻¹²⁰ • Derived: Λ ∼ φ⁻²⁵⁰ (explains the scale)

* E₈ → SU(3)×SU(2)×U(1) symmetry breaking follows φ-scaling * TFIM quantum critical point converges to 1/φ * Code is 100% reproducible (no fits, no fudge) * Paper has 137 pages of derivations * Combined p-value: < 10⁻⁴⁰

---

## What This Implies

* Every "fundamental" constant may be derived * Standard Model and spacetime may emerge from φ-driven information geometry * Universe may literally be golden

---

## Falsifiable If:

* Neutrino mass ratios break φ * Decoherence doesn’t converge to φ * Dark energy scale breaks φ⁻²⁵⁰ * Quantum computer fails to reproduce
by saxenaabhi | 2025-10-21 16:51:04+00:00
> See, these two things seem at odds to me. I suppose it is, to a degree, knowledge that you can learn over time: that an LLM is suitable for renaming files but not for certain other tasks. But for me, I'd be really cautious about letting an AI rename a collection of files, to the point that the same restrictions apply as would apply to a script: I'd need to create the prompt, verify the output via a dry run or test run, modify as necessary, and ultimately let the AI loose and hope for the best.

Why? I never understand this level of caution since don't we all use VC? Just feed it the prompt and if it messes up undo the changes.
by ZenoArrow | 2025-10-21 16:51:37+00:00
Assuming this becomes easier and cheaper to do as the technique matures, a different use of this could be to help with cooling solar PV cells. Despite it being desirable (in terms of overall energy output) to put solar panels in places where the sun's energy is felt the strongest, solar panels tend to work the most efficiently when they're cool. By making it easier to efficiently cool solar PV cells, it may help provide a small boost in overall solar output.
by FloorEgg | 2025-10-21 16:51:54+00:00
Elon is competing with a lot of entrenched interests that would actively try to influence Trump to undermine Elon:

- oil and gas industry

- ICE automotive industry

- telecom industry

- media industry

- and of course... Aerospace and defense industry (Boeing, Lockheed, etc.)

There are a lot of very rich very powerful people that want Elon to fail, and any way they can undermine him would be a win for them.

I say this as someone who really tries to have a balanced opinion on Elon and the topic as a whole, including recognition of all of Elon's flaws.

The military-media-industrial complex can be out to get Elon and spending a lot of money to turn the public against him AND he can have a lot of flaws AND he can be not as bad as everyone thinks because of said media influence.
by insane_dreamer | 2025-10-21 16:52:00+00:00
Every time this comes up there are the people who say, "but look at the Industrial Revolution, all the farmers found new jobs; so certainly everyone laid off by AI will find new jobs too".

I would like to hear, from one of those believers, _what_ type of _new_ jobs these laid off warehouse workers are going to get? (And no, they won't become AI prompt engineers.)

I have not heard a single satisfactory answer to this very simple question. And if no one has any idea of what type of _new_ jobs are opening up, then it's highly unlikely to happen.

In the Industrial Revolution, billions (for that time) were being spent on creating whole new types of jobs (i.e., factories). Which companies today are spending any money on creating new jobs?
by boringg | 2025-10-21 16:52:08+00:00
The camera recordings thing to me BLOWS MY MIND! Also for competitors such as Volvo -- only finally having a functional user experience for apple or google. They are years behind on the trivial matters (that people care about).

I don't think Ford is in the running.

FSD is pretty sweet especially compared to volvo's woefully poor autopilot efforts.
by mentalgear | 2025-10-21 16:52:11+00:00
Well, maybe it's less about Sora, but how they push the world towards making their next product essential: WorldCoin [0], Altman's blockchain token system (the one with the alien orb) to scan everybody's biometric fingerprint and serve as the only Source of Truth for the World - controlled by one private company.

It's like the old saying: They create their own ecosystem. Circular stock market deals being the most obvious, but the WorldCoin has been for years in the making and Altman often described it as the only alternative in a post-truth world (the one he himself is making of course).

[0] https://www.forbes.com.au/news/innovation/worldcoin-crypto-p...
by zorgster | 2025-10-21 16:52:26+00:00
oddly enough I just was looking at someone's data with chr13:20189491 A>G (gnomAD genomes v4 AF=0.00941) - also 0/1 genotype.

I used WGS from Nebula - but would like to back that up with Nanopore raw DNA reads targeted on specific genes where I need more accuracy and to investigate structural differences that Illumina or Nebula's MGI machines can't pick up... also for the additional methylation data.
by renewiltord | 2025-10-21 16:53:00+00:00
This is a non-concern. You can see videos where a specific thing happens where people will describe a different thing happening. Not some eyewitness off memory. You can look at a video and there will be people on Reddit saying stuff that didn’t happen.

Then you can see any conversation about the video will be even more divorced from reality.

None of this requires video manipulation.

The majority of people are idiots on a grand scale. Just search any social media for PEMDAS and you will find hordes of people debating the value of 2 + 3 / 5 on all sorts of grounds. “It’s definitely 1. 2+3 =5 then by 5 is 1” stuff like that.
by OptionOfT | 2025-10-21 16:53:19+00:00
For me, it is making my work miserable.

I'm seeing amount of changes needed to produce new features when coding with these AI tools constantly increasing, due to the absence of a proper foundation, and due to the willingness of people to accept it, with the idea that 'we can change it quickly'.

It has become acceptable to push those changes in a PR and present them as your own, filled with filler comments that are instant tech debt, because they just repeat the code.

And while I actually don't care who writes the code, I do expect the PR author to properly understand the code and most importantly, the impact on the codebase.

In my role as a mentor I now spend a lot of time looking at things written and wonder: Did the author write this, or did they AI? Because if the code is wrong, this question changes how the conversation goes.

It also impacts the kind of energy I'm willing to put in into educating the other person as to how things can be improved.
by bri3d | 2025-10-21 16:53:26+00:00
ADS-B, as regulated, is a terrible solution for this stuff. EIRP requirements make it extremely impractical as a transmission solution for small devices, most ADS-B In equipment isn't designed to correctly alert for separation with non-fixed wing devices, and (due in no small part to the very high EIRP), there are concerns about both air-time saturation and management plane saturation (ie - ADS-B In equipment also wasn't designed to track very many entities).
by hombre_fatal | 2025-10-21 16:53:33+00:00
The problem is that we're already post truth.

Just consider how a screenshot of a tweet or made-up headline already spreads like a wildfire: https://x.com/elonmusk/status/1980221072512635117

Sora involves far more work than what is required to spread misinfo.

Finally, people don't really care about the truth. They care about things that confirm their world view, or comfortable things. Or they dismiss things that are inconvenient for their tribe and focus on things that are inconvenient for other tribes.
by schnable | 2025-10-21 16:53:51+00:00
OpenAI is making a wild number of product plays at once, trying to leverage the value of the frontier model, brand value, and massive number of eyeballs they own. Sora is just one of many. Some will fail and maybe some will succeed.

It seems true that no company has used frontier models to create a product with business value commensurate with the cost it takes to train and run them. That what OpenAI is trying to do with Sora, and with Codex, Apps, "Agent" flows, etc. I don't think there's more to read into it than that.
by brendoelfrendo | 2025-10-21 16:53:57+00:00
Yes, and it's incredible how many problems are solved by hand-counted paper ballots. I get that it's a big task, that it takes time (and some US administrations seem to despise not knowing election results the night of the election), and that it's very tempting to automate, but the basic formula of 1) everyone gets a paper ballot; 2) the ballots are collected at a polling station; 3) the ballots are counted by hand is much harder to corrupt. Maybe build the fancy stuff on top of the paper ballot, like serialized ballots to prevent duplication or timed locks on ballot boxes to prevent tampering, but for the love of Democracy, keep it simple!
by truelson | 2025-10-21 16:54:06+00:00
I love Cal. I really, really take his thoughts on many things to heart for well over a decade now.

I think he's being a bit harsh here. And there are some confounding factors why.

Yes, we have an AI bubble. Yes there's been a ton of hype that can't be met with reality in the short term. That's normal for large changes (and this is a large technological change). OpenAI may have some rough days ahead of it soon, but just like the internet, there's still a lot of signal here and a lot of work to still be done. Going through Suna+Sora videos just last night was still absoutely magical. There's still so much here.

But, OpenAI is also becoming, to use a Ben Thompson term, an aggregator. If it's where you go to solve many problems, advertising and more is a natural fit. It's not certain who comes out on top of the space (or if it can be shared), but there are huge rewards coming in future years, even after a bubble has popped.

Cal is having a very strong reaction here. I value it, but I wish it was more nuanced.
by Nevermark | 2025-10-21 16:54:09+00:00
Not that toxic, unless inhaled (take precautions) or ingested, or heated to high temperature, which produces a toxic gas.

Doping of course can change that.

May require 100+ V AC at 500-2000 Hz. So probably not the right element to implement 4k in! Or for an early education science experiment, unfortunately.

I don't know what the currents would be, proportions or dimensions of epoxy, or much else. Some more research would be required. But in terms of resistive heating creating gas: measure and be careful!
by OJFord | 2025-10-21 16:54:36+00:00
It just makes trusted/verified sources more important, and more people to care about it. I wouldn't be terrified for politics so much as the raised barrier to entry (and concentration) of the press - people will pay attention to the BBC, Guardian, Times, but not (even less so) independentjourno.com; those sources will be more sceptical of whistleblowers and freelance investigative contributions, etc.
by Xenoamorphous | 2025-10-21 16:54:52+00:00
> Surely you don't have hundreds of completely original and bespoke requests?

Absolutely I do. It’s not like a few hundred endpoints is out of the ordinary in any mid sized company.

I can go an edit any of the requests with autoformatting, highlighting and whatnot.

As I say, you can keep your csv and abstractions, not trying to convince you that you should switch from whatever works for you.
by fuzzfactor | 2025-10-21 16:55:01+00:00
Hasn't the ISO to install W11 now gotten too large to be burned to the biggest DVD?

Could be a small number of experienced users, a few thousand in every city, who have always installed Windows from optical disk.

Reliably and simply using the ISO as intended for it's primary purpose of being burned to optical disk.

Moving from CDROM to DVD to large DVD would have been the rarely-triggered optical-drive upgrading cycle driven by Windows bloat alone.

Looks like Blu-rays would be the only thing big enough now.
by lgleason | 2025-10-21 16:55:36+00:00
The country is in decline. I have spent a lot of time there, have family who live there and can easily counter this:

- Many communities still rely on water trucks instead of water pipe infrastructure. The government loots the funds for it, meanwhile the entire system is on the verge of collapse and there are regular water shortages.

- With the electric grid, the amount of load shedding in the past few years where people are regularly without electric to 6-8 hours a day is absolutely crazy. The country didn't used to experience that. Also, cable theft is common, which wasn't an issue 30 years ago.

- 1.6 million people out of 66 million pay 76% of all taxes.

- Public healthcare in ZA is bad and not recommended by anybody who values their life.

- South Africa has more race laws today than it did during apartheid.

- It has a violent crime rate that is one of the highest in the world.

- Unemployment is high.

- It has suffered from massive underinvestment in infrastructure over the past 30 years.

- Extremely high levels of government corruption.

One thing that really brought home how the situation is in South Africa is was when I was talking to someone I know who works for a furniture company there. They used to make all of their furniture in the country, but recently started importing it from China because that is cheaper than producing it locally. Keep in mind that is with an average daily wage of $30 for a factory worker. If a country with South Africa's nature resources and inexpensive labor cannot compete with China for manufacturing furniture for the local market, it is deep trouble.

That is probably why the CEO of a local Tile Manufacturer recently said that South Africa is one of the worlds least manufacturing-friendly economies due to onerous regulation, infrastructure deterioration, energy uncertainty and rising costs.
by mbreese | 2025-10-21 16:55:39+00:00
The comments I was reading at ArsTechnica suggested that adding transponders was off-limits to balloons. The argument was that balloon operators wanted to add transponders but that it was resisted by FAA worrying about there being too many non-plane transponders for pilots/ATC to keep track of.

I obviously don't know which is right, but it does show that there is definitely confusion out there about the issue.
by bluGill | 2025-10-21 16:55:54+00:00
If you have 30 years odds are your real worry is can you afford to retire. I'm not quite there but I'm looking at my accounts. I don't need a fun job - I hope not to be there long. maybe I'm worng, but I believe even the best job can't compare to working on my own projects. (Though they will also have bad days)
by mkauffman23 | 2025-10-21 16:55:54+00:00
We spent a lot of time at ragie.ai getting agentic retrieval right. Like a lot of stuff these days, the demo-quality version came together quickly, but the real work was making it reliable across domains with messy input data, and getting it to refuse instead of hallucinate when the source data wasn't sufficient to answer a query.

Classic RAG (embed and fetch) breaks down on compositional or scoped questions. Our approach treats retrieval as reasoning with multiple subagents in a loop: Plan → Search → Answer → Evaluate → Cite. This agent loop decomposes queries, chooses search strategies dynamically, and inspects intermediate results before responding.

I wrote up some details on how we implemented this and why. Hopefully some useful bits in there for anyone working on agents. Happy to answer any questions!
by kulahan | 2025-10-21 16:56:19+00:00
Honestly I can't see a solution beyond concentrating power to highly localized regions. Lots more mayors, city councils, etc. so there is a real chance you can meet someone who represents you.

I don't fully believe anything I see on the internet that isn't backed up by at least two independent sources. Even then, I've probably been tricked at least once.
by pdntspa | 2025-10-21 16:56:31+00:00
Just yesterday I saw a Sora-generated video that purported to be someone filming a failed HIMARS missile failing and falling on stopped traffic and exploding on the 5 in Camp Pendleton on Saturday. (IRL they were doing some kind of live-fire drill and it did actually involve projectiles flying over the freeway.)

While there were some debris instances IRL the freeway was completely shut down per the governors orders and nobody was harmed. (Had he not done this, that same debris may have hit motorists, so this was a good call on his part)

You could see the "Sora" watermark in the video, but it was still popular enough to make it in my reels feed that is normally always a different kind of content.

In this case whoever made that was sloppy enough to use a turnkey service like Sora. I can easily generate videos suitable for reels using my GPU and those programs don't (visibly) watermark.

We are in for dark times. Who knows how many AI-generated propaganda videos are slipping under the radar because the operator is actually half-skilled.
by freehorse | 2025-10-21 16:56:32+00:00
Measurements actually support that [0]. I am pretty sure you could devise some scenarios where individuals with strabismus do not perform as well, but for most irl scenarios there is no difference. Compensatory mechanisms do the job just fine, and even those with normal eyesight do not rely solely on binocular convergence either. Our brains don't usually rely on a single signal to make sense of the world, and predictive processing plays a huge role for constructing the image of the world around us, which is also why depth illusions work. Even for those with normal binocular convergence, its contribution for making sense of depth is prob smaller compared to other perceptual cues.

[0] Zlatkute et al 2020, Unimpaired perception of relative depth from perspective cues in strabismus. R. Soc. Open Sci. 7: 200955. https://doi.org/10.1098/rsos.200955
by _pdp_ | 2025-10-21 16:56:36+00:00
I had to post this because it’s a related to OP’s post

https://chatbotkit.com/reflections/why-ai-coding-agents-crea...

The tldr is that AI works like multiplier on both sides of the equation. Not only we will work more but we will get even more stressed because things will be moving at increasing speed - perpetually - until we hit some limit of course .
by highwaylights | 2025-10-21 16:56:43+00:00
I'm surprised this isn't a bigger concern given that:

For over a year now we've been at the point whereby a video of anyone saying or doing anything can be generated by anyone and put on the Internet, and it's only becoming more convincing (and rapidly)

We've been living in a post-truth world for almost ten years, so it's now become normalized

Almost half of the population has been conditioned to believe anything that supports their political alignment

People will actually believe incredibly far-fetched things, and when the original video has been debunked, will still hold the belief because by that point the Internet has filled up with more garbage to support something they really want to believe

It's a weird time to be alive