skysight-inc/HackerNews huggingface dataset:
It's rare that I encounter such a fascinatingly different viewpoint to my own that I'm staggered to consider how it could have been arrived at.

Trains don't need to turn to avoid people because their motion is entirely predictable. You can stand one meter away from a passing train with no fear, because you know exactly what its trajectory will be -- it's built into the track under your feet. This is why people are comfortable walking next to trams in crowded areas, whereas they have to give cars a wide berth -- you don't know if they're about to steer into you. For this as well as several other reasons, trains are orders-of-magnitude safer than road vehicles. Especially when weighted by passenger-miles, because then we're comparing the collision frequency of one train against that of hundreds of cars (or even a thousand -- one shinkansen train comfortably carries about 1300 riders).

And yes, because the passenger density is so high, noise level is low, and the traffic is so intermittent and predictable, this does allow the construction of both separated-grade tracks (whether elevated or subway), and also protected crossings for at-grade trains. The safety level is so high that people rarely get hit by a train by accident -- more often suicide or crime is involved. And better safety features, like barriers at stations, can go along way to reducing these remaining risks. It's hard to imagine these kind of safety features being feasible for AVs.

Battery electric vehicles do not and will not come close to the passenger density of trains. Trains also afford higher comfort (it will probably be a long time before robovans provide washrooms with running water!).

By moving between fixed stations, investments in fixed infrastructure can be made with confidence to accommodate the high throughput of people. The routes naturally become direct not because trains stop at every single block, but because travel destinations naturally move close to the stations rather than sprawling out. And because people stepping off a train don't bring a car with them, these areas are intrinsically walkable and pleasant, and don't need to be cris-crossed with high-traffic roads that consume much of the available space.

If you ever have a chance to visit Japan or the Netherlands, let me know if you update your ideas about trains.
No one is missing the chance to further ruin our lives with more marketing, trust me.
Krita is fantastic, and these look gorgeous! Thank you so much for your work.
Deliverable Authentication as a Useful Pattern
The one thing that has become a bit harder to find are lab and assembly workbenches.

I bought a 6' and 12' assembly benches, complete with overhead lights, when Hayes Micro went under 30 years ago or so. Paid less than us$200 for them. Still going strong in my shop.
Great comment, I was fairly horrified to open Robinhood and be faced with a prediction market for the US election. I somehow missed completely that this has been legalized: https://amp.cnn.com/cnn/2024/10/02/business/appeals-court-al...
Either you’re queuing the prompts to smooth out traffic variability without growing the cluster size, or Little’s Law kills you here. If queries actually take an hour on average, and my customers are starting one task per second, then I have 3600 tasks in progress at the same time.

I think the main advantage to slow queries would be in discouraging users from monopolizing the system by shotgunning many requests in a short period. Which is probably one of those cost cutting measures that costs you customers.

If I asked it to write me a block of code and it told me one hour, I’d just write it myself and tell my boss we aren’t really using the service.
Just because you can use some technology in .net on the client and inside the browser does not mean you should. Most of the time these frameworks have huge tradeoffs and once you are using it, you will quickly be locked in.

I.e it’s way easier to migrate from mvc to mvc than from webforms to blazor/avaloniaui/dotvvm
Been to one of those warehouses, back when it was Consolidated Office Distributors, Inc. in San Jose. BetterSource seems to have acquired them around 2005. One building filled an entire city block. I went there to furnish a shop, entered through the wrong door, and spent half an hour wandering around before I found the sales office. This was in the heyday of the Aeron chair and the carpet-faced cubicle wall. They had huge supplies of both.

Picked out desks, chairs, wastebaskets, shop tables, storage cabinets, shelving, a flammable-materials cabinet, etc. They delivered everything the next day. It's the place to go when you're starting up.
In theory, wet bulb should be used by weather reports on hot days, but for some reason it's not. IIRC it's hard to measure or to universalize - that is, it's hard to produce a consistent, meaningful, clear metric.
Show HN: Fina Money – Notion for Personal Finance
Fina lets you build your own tracking system with live financial accounts all without using a spreadsheet. You can build and share custom templates the same way you can in notion.
My point is that when people say AGI they don't mean a super sophisticated version of a game engine's enemy behavioral mechanics.

Sci-fi is many times a speculative guess about the possible future of technology, IMO its not completely irrelevant as an insight into what people mean or expect when they say certain things about future tech.
It's a area you sit in to do work things.
I second that!

To the author: if you have a personal blog, can you post that here?
Why indeed. When you can just instruct ChatGPT to use a calculator.. the stateful python environment is more than capable of accurately performing the most complex mathematical functions you can throw at it, keeping in mind compute and time limitations. Even then, ChatGPT can construct a Jupyter notebook that you can run locally.
Has it? Small drones be they for surveillance, dropping munitions or for suicide runs seem like they've been quite effective in Ukraine.
> He says it himself: self-driving cars are just cheaper taxis.

That's not what he's saying, that's what he's refuting.

When taxis are driven by different people competing against each other, taxis are cheap. When they're controlled by a single tech company that controls the entire market, they'll cost as much as the tech company can get away with.

But he makes a lot of other good points too; that it will mean even more cars on the road.
Ticker-Linked Datasets (HuggingFace)
This takes me back to the mid 1990’s. Glad to see it’s still going.

Back then, I worked on porting it to some proprietary hardware. Was definitely an adventure!

I’d previously ported pSOS to a proprietary 68k board (different company) and that was a walk in the park by comparison.
No, chr$() was intended for use to create strings containing characters that could not be typed on the keyboard.
Yes, I have. Evaporative cooling with a fan in those conditions is still better than no fan.
Qwen2.5-Coder Beats GPT-4o and Claude 3.5 Sonnet in Coding
> fans are found to be generally effective to 104 degrees

The OP goes through a lot of evidence saying the threshold is lower.
They mean that once they reach a certain scale they cease to be predictors and start affecting outcomes, not that it is impossible to allow people to bet on things indefinitely.
I started my first job in 2008. I had a friend who got a job doing software development for a city government at $60k. I interviewed at a big tech company. I don't remember even being asked about my salary expectation. The offer came at $75k. I'd been expecting 40-50, based on what the career center at school was telling me.
> What dictionary did you use for those definitions?

Oxford Languages. First one offered by Google. Oxford's definitions are close enough to Merriam Webster's.

Consider gravity. A hypothesis 400 years ago might have been that massive bodies exert a pull on each other, but that would not have been a theory. To get to "theory status" you'd have to add enough content that one could start making falsifiable predictions. That would require working out that gravity is an inverse square law, and that's exactly what Newton did.

There were gravity hypostheses before Newton, but to be a theory required adding enough mathematics to make those falsifiable predictions.

So I'd say that both, hypotheses and theories are suppositions, but hypotheses are weakly supported by evidence and lack predictive power, while theories have predictive power but must be falsifiable. Both hypotheses and theories can be falsified, and once falsified we refer to them as such (incorrect, failed, falsified). In mathematics a theory doesn't even need to have "evidence" for it -- it's just a system of axioms and principles, though it could prove to be inconsistent.

I would also say that even in scientific communities we're a bit loose with these things. Is the Big Bang a hypothesis or a theory? I would think we'd need quite a bit in the form of equations and thinking behind them that yield falsifiable predictions, but I'm not sure that those exist in the level of detail that we'd normally require. The less amenable a scientific field is to experimentation, the more we can expect this sort of looseness from. In Big Bang theory we mostly make predictions that can't be subject to experiments, only to measurements of reality (e.g., the uniformity of the CMB, the distribution of visible matter, etc.).
two thoughts:

1. "trust me bro" numbers are meaningless
2. nothing would push me off the internet faster than AI marketers that act like they know me
But, it is a function of what you believe the future will be (and your risk tolerance).

If you have a higher risk tolerance, you will buy fewer futures. If you believe the next year will be dryer than normal, you will buy more futures than normal. If you believe your crop is likely to be better/more reliable than normal, you will buy fewer futures.
> Google pioneered many now standard tech practices: on-site cafés, A/B tests, and “dogfooding,” or first releasing new products internally where they can be improved before launching to the public.

Famously, Microsoft and others pioneered dogfooding decades before the events described in this article and approximately a decade (at least) before Google came into existence.

And I’m 99% certain company cafes existed at least a half century before Google invented the concept.
They don't feel hot while just wearing them, but I did notice I get sweaty if I'm using them on a hike/moderate exercise - which is probably to be expected though.

I'd say wearing comfort is great, I can wear them for hours and barely notice I have them on. I didn't use them in warmer (summer) temperatures yet though.
My point of curiosity is if these prerogatives can (or have been) reconciled.

To that end, I'm not sure that these factors are mutually exclusive and would like to hear more of your thoughts.

If I understand you correctly, I would think that a market could have both volume and depth.

With respect to volatility-stability, what do you see as the drivers there? Is it that gamblers would need a significant upside to drive betting? Is this solved by the size of the bet? I suppose there is an internal conflict. If the line of a bet is 49-51% on a binary outcome, the risk of ruin is high, and the upside is low. You would need to aggregate outcomes over many distinct events to mitigate.

I suppose this could hang on ability/inclination of professional forecasters to research and take several positions.
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Amateurs speak of tactics, professionals speak of logistics.

That DoD research has civilian applications makes it no less intended for enforcing violent hegemony and killing people. Imagine if half of that went toward genuine civilian research, rather than research with a primary military application that may be be applicable to civilian domains.
I don't understand the question, the comment above asked for a possible definition of an artificial intelligence. An artificial intelligence is an intelligence. I'd assumed "and not natural / created" was a given

Edit: why would I not be trying to answer the question?
That is a rare level of cunning!

A simpler, somewhat common version is when one dog pretends that there is something interesting outside, so that the other dog would drop the toy and would run to the window hoping to bark at the mailman, while the trickster picks up the left behind toy.

Some dogs actually learn to see through this ruse. It can be very amusing to watch them darting instinctively, then suddenly realizing what is about to happen, returning back to pick up the toy and only then going to the window more leisurely.
Emergency situations where you are trying to coordinate is maybe the only time I would talk to a cop, and if you can talk to a fire fighter or EMT instead I would do that.

In the case of the fire I wouldn't say anything except "Little Timmy is still inside, on the second floor". Do not discuss how the fire started or anything like that.
There is so much desire to hear this story —- that LLMs aren’t that cool and the hype is overblown —- that I’m just as skeptical of this as I am of AI companies promising an API for god.

A lot of people really really really want this to fail.
That's doesn't seem like a measurable or testable definition.

How do we know if bees understand what they're doing? It's agreed that they display intelligence and intelligent behavior, but not by your definition.

If it's not measurable or testable then it's not useful.
Spitting has become socially unacceptable in the US. This is due to large scale "anti-spitting" campaigns in the early 1900.

In the 19th century when spittoons were a thing in the US, TB ran rampant.

There's also the widespread antibiotic use. The widespread prescription of Doxycycline for everything inadvertently does a lot.
It’s a film noir coded game. It does nail that dark aspect in many scenes and does it masterfully. I recently replayed it and it was remarkable how great it still is after decades of gameplay evolution.
great question, to me webGPU sits a hair high level than CUDA or Vulkan. so you don't have the exact same level of control but can get to 80% performance of it without having to write different kernels specific to the hardware
> freedom units

Is that a typo or a real term?
I did not test this library so I can't argue from that perspective ( I think I will though ; it does seem interesting ).

<< “enlightening productivity and business scenarios” it will be an engine for simply manufacturing support for a pre-selected option.

In a sense, this is what training employees is all about. You want to get them ready for various possible scenarios. For recurring tasks that do require some human input, it does not seem that far fetched.

<< produce “convincing interactions"

This is the interesting part. Is convincing a bad thing if it does what user would be expected to see?
University surplus stores are always fun to browse. Lab equipment, machine tools, great stuff.
Man gets 10 years for stealing $20M in nest eggs from 400 US home buyers
What about ScyllaDB
Who cares? Should we abolish wheat futures?
Not sufficiently though

You're creating a definition that doesn't align with the existing definitions for the words you're using.

Which is fine, it happens all the time, though it's less useful.
I'm aware, I've lived all around California for the last 25 years, the vast majority of those years without owning a car and yet I managed to get around via bus/train/bike okay, and not just in metropolitan areas.

That aside, I'm curious about this point in response to my tax suggestion.

> California wants to be mostly FEV by 2045. That's a horrible idea unless you care more about road construction than the environment.

I'm not sure I follow how that shakes out, can you elaborate?
Given the replication crisis in science, it seems like a lot of scientists are willing to overlook even obvious things as long as they get a paper published.

So, I think these are questions worth asking.
I always schedule documentation for when the code becomes stable. It is a very rare occasion that management lets us spend even a single sprint on it. There is almost always another fire to put out.
This is technically correct. A* pathfinding is technically AI.

However I don't know anybody these days who would seriously call A* proper AI.
I'd happily add birds to the list. I had a budgerigar which lived for ~12 years. She had very personal traits. For example she always sat silent until she saw my eyes open, regardless of the hour. She always knew that I was the one I opened the door and sang very happily, again regardless of the time of the day. She liked to troll me and my parents. She ate the corners of my lecture notes, esp. if I didn't pay attention to her (exam periods), flicked a single CD from the stack, grabbed and threw down, studied how it fell, and chirped at me head sideways, trying to tell "look, I did something".

I could write tons and tons of things where she was very aware of my emotions and responded to it, or communicated with my parents in their own way.

So, I don't think it's limited only to "more complex" animals like dolphins, dogs, and elephants. Cats and birds (oh, look at cockatoos, crows magpies, etc.) are also in that group as well.

Cockatoos raid trash bins and find ways to open even the blocked ones if their strength allows.

Lastly, here's a parrot which trolls its owner and laughs about what it did! Oh boy, it's aware of what it did [0].

[0]: https://www.youtube.com/watch?v=YLNSaQCDl8E
I think they just see asymmetry as a parent of handednes. Bones and skin and so are not symmetric, as probably anything in the universe (but some specific molecules, atoms and crystals?)
Ask HN: Seeking Advice: Google Workspace and YouTube Issue
I'm seeking the advice / input from others here on a very bizarre Google Workspace YouTube issue.

I have spent time with Google Support and YouTube support chat with no success in resolving this issue.

The issue:

- Accessing YouTube while on the my home ISP when using an Apple Device (iPhone or iPad) and the YouTube App, while logged in with a Google Workspace account, all videos come up as "content not available".

Testing performed:

- I have tried three different sites that utilize my ISP (My Home, Legion, and a School) to eliminate the issue of my local network or firewall.

- I have tried three different Google Workspace accounts. One of them has never been on my ISP network before I attempted it.

Workarounds:

- If I logout of my Google Workspace account and login with a @gmail.com account on the Apple Device and use the YouTube app, it works fine.

- If I use the Chrome Browser on the same Apple device (iPhone or iPad) logged into the same Google Workspace account it works fine.

- If I use my Roku device and their YouTube app with the same Google Workspace account, it works fine.

- If I VPN to another network outside my local ISP, the iPhone and YouTube app, logged into my Google Workspace account, it works.

- If I disable my Wi-Fi on my phone and use Verizon, it all works fine as well.

- I have tried 4 different Apple devices with the same results.

I am completely stumped, I have been going over network packet captures and can't see anything standing out either. I have restarted my router, removed and reinstalled the app as well.

I just can't see how my ISP would be able to see if I am logged into a YouTube app with a specific account, so it has to be something on the YouTube side with the Apple YouTube App, but I have no good way to actually troubleshoot with anyone at YouTube.

I was hoping someone here on HN has had this issue before and found a solution.
But a 6 year old laptop with an i5 does that just fine, just maybe a bit slower than a pro video editor wants.
Maybe my view is a different one here (I have donated to Pleistocene Park before), but at least here in Europe most big ecological project seem to follow the megaherbivore theory, and try to implement it in some areas.
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> There are definite proofs in mathematics.

We prove theorems, which until proved are referred to as conjectures. But even in mathematics we don't prove theories. E.g., group theory. This is because a) the definition of mathematics theory is not quite the same as scientific theory since mathematics theories are axiomatic, and b) because it's entirely possible that some mathematics theory (e.g., group theory) could eventually be shown to be inconsistent (which is essentially how you disprove a theory in mathematics).
VC Funding dried up in the Life Sciences space by late 2021/early 2022 because there was too much investment during 2018-20 due to the "precision medicine" hype cycle.

Same thing happened to cybersecurity in 2022-23 and will happen in the Generative AI space in a couple years.

There are always expansions and contractions in each sector.
Seems like your AirBnB luck has run out.

The couch photo was bad, but not that far off from what I would consider a typical AirBnB experience.

If an employer ever tried to book me an AirBnB on a work trip I'd politely decline and find my own accommodations.
One, insurance happens at insurance companies and in markets. Two, there are prediction markets for natural disasters. Three, moral hazard doesn’t mean insurance makes natural disasters more likely.
You must be new here. It's a law of nature around HN that whatever you post that you've done, there's some twit who will condescendingly lecture you on how you should have done it.
Future of Ad companies!
My guess is that abstract ideas is an outgrowth of language and also necessary for the development of the complex societies the article is positing. I would also be careful not to conflate complex language (for example, dialects in whales) with the development of complex abstract ideas (for example, mathematics). It seems to me the latter is necessary for the complexity discussed, but unclear if the extent to which it exists in other species. But I agree, hopefully we can learn more someday on the way they are both similar and dissimilar to human cognition.

(I should add that there are some like Stephen Meyer who think certain abstract cognition is more magical and unable to come from basic evolution, but this has a theistic bent)
Every arthouse buff you know is pirating films
CML: Continuous Machine Learning CI/CD for ML
The problem is that all the items you've listed are basically "just in case we'll need to do something later".

And this basically never happens, but you still have to carry that extra overhead of interfaces.

Java also supports private/public method visibility, and this can be used to clearly show the contract. No need for interfaces.