MurphyA/hacker-news huggingface dataset:
by neom | 2025-06-05 08:24:52+00:00
I don't play or know anything about Chess so I went to look up your comment, I presume it's about this gent: https://www.chess.com/blog/Mx_Nat/why-bobby-fischer-hated-ch...

I read the above and it made me feel he was annoyed that Chess is a strategic zero sum game? "preparation and memorization than pure skill and innovation" - I think (at least in the zero sum strategy game I love) - prep + data IS the skill and innovation, how do you prep and where do you get your data, that's the joy of the game?
by msgodel | 2025-06-05 08:25:32+00:00
If I talked to the board of directors of my employer this way do you think I would remain employed? Why do you think public research institutions would or even should be able to attack the majority population of the country and not suffer the same fate?

I don't think you'll be able to manage the combination of self reflection and empathy required to understand this. Most people on your side are behaving in a similar way. It's why this stuff is going away and very unlikely to come back.
by ThrowawayR2 | 2025-06-05 08:26:05+00:00
A more salient Star Trek episode about rogue AI a year later would be The Ultimate Computer, where the M5 multitronic computer is placed in control of the Enterprise and performs superbly in battle simulations, leading to worries that it would obsolete Captain Kirk and the rest of the crew, until it goes out of control and starts killing people and has to be defeated by human ingenuity.
by dawnbreez | 2025-06-05 08:26:31+00:00
I mean, fair. It's true that humans aren't that great at writing code that can't be exploited, and the blogpost makes this point too: between a junior engineer's output and an LLM's output, the LLM does the same thing for cheaper.

I would argue that a junior engineer has a more valuable feature--the ability to ask that junior engineer questions after the fact, and ideally the ability to learn and eventually become a senior engineer--but if you're looking at just the cost of a junior engineer doing junior engineer things...yeah, no, the LLM does it more efficiently. If you assume that the goal is to write code cheaper, LLMs win.

However, I'd like to point out--again--that this isn't going to be used to replace junior engineers, it's going to be used to replace senior engineers. Senior engineers cost more than junior engineers; if you want each engineer to be more productive per-dollar (and assume, like many shareholders do, that software engineers are fungible) then the smart thing to do is replace the more costly engineer. After all, the whole point of AI is to be smart enough to automate things, right?

You and I understand that a senior engineer's job is very different from a junior engineer's job, but a stockholder doesn't--because a stockholder only needs to know how finance works to be a successful stockholder. Furthermore, the stockholder's goal is simply to make as much money as possible per quarter--partly because he can just walk out if the company starts going under, often with a bigger "severance package" than any of the engineers in the company. The incentives are lined up not only for the stockholder to not know why getting rid of senior engineers is a bad idea, but to not care. Were I in your position, I would be worried about losing my job, not because I didn't catch the issue, but because

Aside: Honestly, I don't really blame you for getting caught out by that bug. I'm by no means an expert on anything to do with OAuth, but it looks like the kind of thing that's a nightmare to catch, because it's misbehavior under the kind of conditions that are--well, only seen when maliciously crafted. If it wasn't something that was known about since the RFC, it would probably have taken a lot longer for someone to find it.
by stefs | 2025-06-05 08:27:16+00:00
this would introduce a problem: a periodical request to continue thoughts with, for example, the current time - to simulate the passing of time - would quickly flood the context with those periodical trigger tokens.

imo our brain has this in the form of continuous sensor readings - data is flowing in constantly through the nerves, but i guess a loop is also possible, i.e. the brain triggers nerves that trigger the brain again - which may be what happens in sensory deprivation tanks (to a degree).

now i don't think that this is what _actually_ happens in the brain, and an LLM with constant sensory input would still not work anything like a biological brain - there's just a superficial resemblance in the outputs.
by mistercheph | 2025-06-05 08:29:09+00:00
Bruh, JD Power is a joke, they said the Chevy Equinox is the most reliable compact SUV of 2024, look at any of their rankings, it’s all basically random, meaningless noise. I assume they just create hundreds of oveRlapping categories to make sure everyone has something they will pay the license fee to talk about in a commercial
by Gareth321 | 2025-06-05 08:29:19+00:00
It depends on the segment and time range and market. MotorEasy conducted a survey in 2024 in the U.K. with 29,967 respondents. (https://www.whatcar.com/news/most-reliable-cars/n27337) The Tesla Model Y was the 9th (equal) most reliable car. However Teslas tend to fare poorly in the Consumer Reports survey in the U.S. I suspect one of the reasons for the discrepancy between this market and the U.S. is that the U.K. received Tesla shipments a lot later for new models - years, in fact. This gave Tesla time to iron out first-model issues. Another is potentially the location of manufacture. Most Teslas sold in the U.K. come from China and Germany. Most Teslas sold in the U.S. come from Fremont, California. There were widespread reports of strange manufacturing practises at the Fremont plan during the covid outbreak, like spray-painting cars in makeshift tents.

Interestingly, MotorEasy found that gas and hybrids were the most reliable. Diesel were the least reliable.
by silversmith | 2025-06-05 08:31:04+00:00
I use Aranet devices myself - https://www.aranet.com/en/home/products/aranet4-home

What you could take from them is how prominent the current measurement is on the screen. I can glance over from a distance and instantly see the number. The colours get inverted if it goes into the red zone, so I can glance at it from across the room without my glasses and still see whether it's bad or not.

From what the simulator shows, with your device I'd need to lean in pretty close to understand what's going on. And blinking light indicators are tricky - you can easily catch it between blinks and look away content that everything's alright.
by sirdvd | 2025-06-05 08:33:57+00:00
> Well because Tesla's are excellent cars and are still ranked at the top compared to the rest of the market.

whilst surely top ranked, they apparently share the top with others makers (https://www.euroncap.com/en/ratings-rewards/latest-safety-ra...) (Large Family Cars category, last two years, order by occupant protection).
by 0xEF | 2025-06-05 08:34:01+00:00
I don't know why you are getting dogged on for this. Yeah, it was probably annoying in a variety of ways to those people, but it demonstrates how easy it is to manipulate us when we are in an agitated state. This is the number one weapon of modern scammers.

As an aside-but-related experiment, I worked in a bookstore in an American mall when I was young. It was always rather quiet in our store compared to the rest of the mall, so when someone purchased something, our cash register noise could be heard through the whole bookstore. After awhile, I realized every time someone made a purchase, I'd end up with a line formed almost immediately behind them. It seemed like the cash register noise triggered some Pavlovian response to the customers still browsing in the store, as though they needed to hurry up and get it line before it got too long.

So, I tried an experiment. When nobody was in line and we had customers milling about, I'd run a mid-day report from my register which sounded similar to someone making a purchase. Lo and behold, people lined up, almost absent-mindedly. Every customer did not come when called by the register, but most did. I'd be hard-pressed to repeat the experiment today with the tap payments and touchscreens, though.

Same mall, a few years later, we also realized that if we stood outside a store or kiosk in very specific spots where traffic flowed certain ways, people would would begin to line up. Never did figure that one out, but the mall was two levels with these wide open spaces where you could look down from the top, making for an excellent observation deck on human movement. We'd send a friend down to stand in one of the designated spots and sure enough, there'd be a few more distracted people behind him just waiting for nothing.

Maybe humans secretly love to queue :)
by hn_throw2025 | 2025-06-05 08:34:15+00:00
I have a workflow that also uses micro commits. I keep my older JetBrains IDE open at the same time. Using feature branches liberally, any successful interaction between me and the LLM in Cursor results in a micro commit. I use the Cursor AI ‘generate commit message’ for speed. Every so often, I switch over to Jetbrains to use Git Interactive Rebase to tidy up the commits, as the diff viewer is unsurpassed. Then those micro commits get renamed, reordered, squash merged as required. All possible from Git CLI of course, but the Jetbrains Git experience is fantastic IMHO. All their free community edition IDEs have this.
by whizzter | 2025-06-05 08:35:14+00:00
I wonder if it'd be better or worse to scale timelimits? Say once ratings are over 1500, the lowest ranked players rating is used to calculate the time-limits of the game. A player at or below 1500 still has the same times (to let us amateurs consider a bit) but scale so that once players approach 3000 in ranking the speed basically becomes rapid or blitz.

If even pros make mistakes at that level, it should get rid of much draws and overly long games. And perhaps even appeal to a wider audience in our sped up society.
by al_borland | 2025-06-05 08:36:32+00:00
I’ve seen a lot of apps extend markdown to support various additional features. Obsidian, for example, has an extensive number of community plugins which offer a ton of features.

This of course ends up being editor specific, but if org has the same limitation, by being tied to emacs, is it really any different? I think what emacs has going for it in this case is that it’s been around for decades, and we can assume it will continue to be around for decades into the future. The markdown editor de jour may not be.
by Imanari | 2025-06-05 08:36:33+00:00
CC is more autonomous, which can be a double edged sword. In big codebases you usually don't want to make large changes and edit multiple files. And even if you do, letting the LLM decide what files to edit increases the chance for errors. I like Aider better aswell. It's a precision tool and with some /run it is pretty flexible for debugging.
by Gareth321 | 2025-06-05 08:36:45+00:00
> That's exactly the problem. It's great right until it isn't, at which point it's likely to make a decision that will kill you or someone else if you aren't lucky.

This should be weighed against the fallibility of human drivers, surely? Our point of comparison is not "perfect", it's "human." Inasmuch, with millions of miles driven, FSD appears to be many times safer than humans: https://www.notebookcheck.net/Tesla-Autopilot-and-FSD-are-no...

Not perfect, and there will be crashes, but much better, and I think that's the yard stick we should be using, because no system will ever be perfect.
by drakonka | 2025-06-05 08:36:49+00:00
I got into programming originally because for me it was an act of creation in a very similar way to my sketches and paintings at the time. Software can be art. Interactive art, in fact - so, much 'more' than a painting in some dimensions. Sure, often at work you are creating a means to an end. A painting can be a means to an end in the same way that software can - so many artists take commissions or work for bigger companies where they are told what to produce. I believe it is the purpose/intention behind the creation that makes it art vs a means to an end, not the medium. And some people (in any medium) are able to mix the act of artistic creation with productive output, blending work output and art.
by genewitch | 2025-06-05 08:37:30+00:00
"A lie", FSD as it stands right now is a lie. A few cars might be able to drive a few geofenced places, but no car anywhere can drive anywhere, even with perfect weather and visibility and I'd even wager no traffic or even no other cars at all. Our Subaru gives up steering if there's no olcar in front, on "suburban" and rural roads about 35% of the time. More on some roads, less on others. I cannot determine, while driving, the cause for half of the self driving disable occurrences. No fog line and a broken center for an intersection on a 1 lane road it'll shut off nearly every time. It's surprising when it doesn't.

I've clocked nearly a half million miles on the road (I'll be there sometime in the next 9 months), and the range of technical ability you need to drive in just the US, no, scratch that, any given state or even county varies so much and potentially so often that FSD is just a lie to sell cars. I'm willing to upload a full hour drive touring a few parishes around here in my quite heavy Lexus, front and rear cameras, just to prove my point. I'd do it in the subaru but the dashcam isn't very good and also it's lineage is rally so it exaggerates how poor the roads are. My YouTube has dashcam footage of drives that I'm willing to bet no automated system could handle, even if it claimed to be "level 5". Driving after a storm or hurricane is another issue. I know the hazards in general and specifically for the areas I'd need to travel during or after an emergency. I cannot fathom the amount of storage and processing that would take, to have that for every location with roads. On board, in the car? Maybe in 20 years.
by thom | 2025-06-05 08:38:33+00:00
Sure, this is just cause and effect. Doing months of work for a World Championship cycle or slogging through 20 moves of supercomputer prep is boring _because_ it impoverishes the creative side of the game. I'm just saying a lot of people here probably recognise the same pattern between the magic of computing in their youth and the reality of a lot of enterprise tech jobs.
by debuggerson | 2025-06-05 08:40:11+00:00
Honestly, I'm not a huge fan of chess, and I don't know much about the different rules or playstyles. However, I’ve come across some of Magnus’s videos before. I admire his confidence in his abilities, but I know some people don’t like him, thinking he has a high ego and can come off as cocky at times. While many may be happy to see his recent loss to Rukesh, there’s no denying he’s been the best for so long. Maybe he hasn’t found someone who excites him in classical chess, someone at his level.

After all, being unbeatable can be a lonely place.
by physicsguy | 2025-06-05 08:40:18+00:00
My employer gives us access to ChatGPT, Claude and Deepseek through a self hosted internal platform, and we also have GH Copilot access. We're restricted to these rather than any of the other options for IP reasons.

I find Copilot (at least the version we have) to be almost totally useless beyond autocomplete, but I use the internal platform a lot, particularly for redrafting documents to be more polite (I'm a bit of a grump). I've found that the context I can be bothered to paste into that is good for getting ideas in SW off the ground but I find reliability to be mixed. I tried to implement a modification to some code in Go using concurrency recently (not a topic I'm very familiar with and so would have struggled to do alone) and for e.g. the code it outputted deadlocked and despite a lot of prompting, I couldn't resolve it.
by Joseblasco20 | 2025-06-05 08:40:54+00:00
I’ve been reading about digital twins applied to Data Centers (DCs), and it really got me thinking. Are we truly witnessing a technological revolution, or is this just another passing trend that many are trying to capitalize on?

Digital twins have the potential to completely transform how we manage and optimize DCs by simulating environments and processes in real-time to predict failures and improve efficiency. But, are we really ready to integrate them on a large scale? Is this the future, or just another advancement that won't fully catch on?
by fransje26 | 2025-06-05 08:41:09+00:00
Since Lockheed struck a deal with the government allowing them to no longer communicate the number of issues encountered on the F-35 program, news reports have only been writing about how it has been the best thing since sliced bread. (Save for the mishaps happening from time to time..)

Which is entertaining, because until that point (2021, if memory serves?) it was encountering an ever increasing number of critical issues needing resolving, a double dozen of which would be lethal to the pilot flying. The backlog stood at 800+ issues at the time.

Some of the software issues were so serious that they were considered beyond salvageable at the time, despite having already gone through a full re-write from scratch cycle..
by whizzter | 2025-06-05 08:41:26+00:00
Iirc also this new Gukesh champion was only like 15 years old back then, yes he was spotted as an upcoming contender, but at that time there wasn't really any competitor that was close enough, iirc he had soundly beat the same guy twice in a row over in title matches at that point so at that time the competitor pool wasn't really too threatening.
by close04 | 2025-06-05 08:41:34+00:00
> If there isn't a guaranteed minimum time

When dealing with unpredictable real life events there are no guarantees, unless we're considering the many carveouts to that definition from a legal perspective. A blind car (fluke weather, blown fuse, SW glitch, trolley problem) can no longer guarantee anything. Giving the driver 10s, or assuming the worst and braking hard could equally cause a crash.

> your transmission suddenly exploding is an exception

As long as the brakes or steering work a driver could still avoid a crash. The driver having a stroke is closer to a blind car.
by neom | 2025-06-05 08:42:30+00:00
I understand, but isn't the opening decision tree depth IS the zero sum nature playing out?? the depth of the opening decision tree exactly what you'd expect in a zero sum strategic game? In any highly competitive zero sum environment (poker, business, etc.), players will inevitably explore and optimize every available edge, ESPECIALLY preparation? That was the fun of it I thought? Any arms race in opening theory is a natural consequence of the zero sum structure... if memorizing 25 moves gives you an edge over someone who memorized 23, the competitive pressure forces everyone deeper into preparation?
by callc | 2025-06-05 08:42:38+00:00
Source? A quick googling shows from https://worldpopulationreview.com/state-rankings/fatal-car-a... deaths per 100k pop in 2022:

- Mississippi 23.9 (highest)

- Texas 14.7

- CA 11.3

- Rhode Island and DC 4.8 (lowest)

Anecdotally, the huge trucks and driving culture (aggressive, fast) would have made me guess Texas has higher deaths before seeing the data.
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by Y_Y | 2025-06-05 08:43:02+00:00
I know I viable alternative to the big clouds.

Don't use them! They cost too much in dollar terms, they all try to EEE lock you in with "managed" (and subtly incompatible) versions of services you would otherwise run yourself. They are too big to give a shit about laws or customer whims.

I have plenty of experience with the big three clouds and given the choice I'll run locally, or on e.g. Hetzner, or not at all.

My company loves to penny-pinch things like lunch reimbursement and necessary tools, but we piss away latge sums on unused or under-used cloud capacity with glee, be ause that is magically billed elsewhere (from the point of view of a given manager).

It's a racket, and I'm by mo means the first to say so. The fact that this money-racket is also a dat-racket doesn't surprise me in the least. It's just good racketeering!
by dkersten | 2025-06-05 08:43:38+00:00
Yeah, it took me a few weeks to wean off cursor but I’m now happily using Zed exclusively.

Cursors tab predictions are still a bit better and snappier but I feel like Zed is a better editor experience over all and I don’t rely on AI anyway. Agent mode works pretty well for me though. Also cursor leaks memory pretty bad for me.

There’s still room for improvement but Zed is working on fixes and improvements at a high pace and I’m already pretty happy with where it’s at.
by poisonborz | 2025-06-05 08:44:02+00:00
Very cool project, we need more competition in this space - other option is like Air Gradient One, also open source.

Famous HN "but": I find it baffling that by default we are shown this cutesy animation, that gets boring real fast, and actual measurement values in tiny font in the corner, which must be manually switched to for each sensor? Why not just show all sensor values in large font?
by Sesse__ | 2025-06-05 08:44:02+00:00
The irony is that you don't _actually_ need WebRTC to get subsecond latency; you can fairly reliably get ~100–200ms (plus network latency) with a completely normal TCP stream.[1] But since browsers have effectively standardized on HLS, whose design is completely antithetical to low-latency (you _can_ do low-latency HLS, but only with heroic efforts), low-latency streaming video has never really been part of their bread and butter. So instead, we abuse a _much_ more complicated protocol (WebRTC), because that happens to hit a path that was meant for low-latency videoconferencing.

(I did sub-100ms glass-to-glass streaming with VLC back in the day, so it is eminently possible. But the browser is in your way.)

[1] Much less than that is going to be tricky under non-perfect network conditions, because once you start having any sort of packet drop, you want to go from TCP's retransmission regime and instead start dropping packets, take the artifacts for a little while, and then go on.