skysight-inc/HackerNews huggingface dataset:
The point is that (even) the systemd maintainers do not vet their dependencies. As an attack vector, it is the (second?) highest level, yet they did not assume the responsibility. Everybody silently assumed they did, hence the shock.

> Claims that systemd has bad security have to explain why it was already implementing practices ...

No, they don't. It doesn't take away the fact that they did not check xz, and probably only few of their other dependencies.
Not in American tech venture capital. They expect to make a positive ROI on only maybe 20-10% of their investments.
My wife says "it’s because we liked the name, not because of the show" but for me, it was totally the show. :)

Turns out there are only like a few dozen people named Kess. It’s one of the rarest names, yet short and simple, which is neat.

I sometimes worry I’ve cursed her with the association, since she might find that question annoying someday. But in a decade I doubt there will even be many Voyager fans left, sadly. It’s easy to forget that the show was from 1995, almost three decades ago. Ten years from now Voyager will be turning 40.
You have to wonder if working for four or five different companies while, allegedly, being on _all the drugs_ has an impact on his performance.

If Musk ran Apple we'd still be waiting on the iPhone XS, though he'd insist it'll be ready by "end of year", a phone that launched around the time Musk was crowing about these trucks.
I wish it was that obvious. I think it's like criminals - the obvious ones get caught, and people go "criminals are pretty dumb", but there are plenty of smart ones too.

I posted this example earlier today https://news.ycombinator.com/item?id=40208741 of a reddit account shilling Sourcegraph. They flat-out deny that this's a bot, but it's clear to Me.

Can't trust anything or anyone any more. Pretty sad.
As a caveman who only knows Delta Air Lines, Delta Electronics, and Delta Faucet for prominent entities named "Delta", who or what is "Delta" in the context of a Delta emulator?
The App Store listing links to deltaemulator, so -app is the fake one.
The web client has become less and less useful as they try and force users into the app.
> that's a lot of mass to spin. How fast?

No clue! But I think they were targeting mili-g acceleration--could probably be achieved by the boil off alone.
> Musk is detached from reality.

Musk is arguing that paying him $55B to pump the stock price is better than paying those employees for 40 years.

If you're a shareholder that only cares about the stock price and not the underlying value of the company - that's a decent argument.

I wouldn't buy it. But maybe the shareholders will.
If you’re actually in a position where you need to guess the encoding, something like “ftfy” <https://github.com/rspeer/python-ftfy> (webapp: <https://ftfy.vercel.app/>) is a perfectly reasonable choice.

But, you should always do your absolute utmost not to be put in a situation where guessing is your only choice.
I'd definitely prefer to decouple the carrying fuel to the orbital depot and the refueling at the said depot, when it already does have the fuel amount needed.

As for spinning two Starships of significantly different mass... that should be interesting to see. Doable, yes :) but interesting nevertheless.
The SIM card in your phone is running a Java VM.

> Java Card bytecode run by the Java Card Virtual Machine is a functional subset of Java 2 bytecode run by a standard Java Virtual Machine but with a different encoding to optimize for size.

> Did you know, for example, that a SIM can run apps and communicate over the mobile network entirely independently of the host phone? Or that the SIM is arguably more in control of the phone baseband than the phone’s “main” operating system? Or that SIMs can support TCP/IP and run a web server?

https://en.wikipedia.org/wiki/Java_Card

https://mobiforge.com/news-comment/the-sim-the-tiny-computer...
Bytecode is great for tiny domain languages and I use them in many projects.

Ultima IV used one to animate sprites on it's title screen map. For the next version of XU4 I implemented three bytecode interpreters to script the entire title sequence. There's a high level presentation interpreter, a GPU rendering interpreter, and one for the Ultima IV bytecode.
don't we have Reddit's source? Why doesn't someone just clone it?
TFA quotes a logistics company employee who placed a deposit 7 years ago and still has not received a single semi.

I’ve been late on deadlines before, but not 7 years late.
Very possible, although surely Reddit could have charged more than $60m for that [0].

Looking forward to Google Search recommending stores and restaurants that closed years ago, or videogames that don't exist.

[0] https://www.reuters.com/technology/reddit-ai-content-licensi...
Faster to interpret than what?
If you have been in this space you know that nearly every software project is late, reduced, different and the customer never cancels.
Release notes for Windows here.

https://resources.arc.net/hc/en-us/articles/22513842649623-A...
What went wrong was multiple teams on unsynchronized 2 week schedules, and a culture that said that we had to accept the force push when other teams released.

So we released at the end of our cycle. It gets used for, if a vague memory serves, end of months billing. Meanwhile someone on another team "merged" our code, and actually randomly dropped a big chunk of our work. A week later they release. Some (but not all) of our features disappear. We pull that and don't notice because we're on a new sprint. Wait until the end of the month, users try to do billing. "Hey, why did you take away those features you built for us a month ago?" "What, we never...?"

We had no clue what happened.

This got to repeat a couple of times before we figured out what must be happening. We made changes to the release process so we could track what was actually released each time, with its history. We tracked down who we thought was making the mistake, but didn't have enough evidence to prove it to his manager. That didn't stop the idiot from making the mistake, but it did streamline the process of recovering it. Meaning we had the version with our feature, we had current code, and "just" had to sort out conflicts rather than rewrite from scratch.

Now that you've heard the story, can you see how weeks of work could be lost before we figured it out? And can you understand how we could have lost history?

This was a decade ago. At my next job we had more competent people. But there we had a huge debates between rebase and merge people. There are arguments on both sides. My conclusion was that about 90% of the time, rebase makes things simpler and easier. But that remaining 10% of the time makes the 90% not worth it.

Just learn how to merge properly.
> “My minority opinion isn’t shared by the users on a subreddit… must be astroturfing…”

Or you know... maybe people just disagree with you
I am happy to be honest that I have not spent much time of rust, other than browsing sample code and reading about user experience, the borrow checker, etc.

For me, I could not see myself using rust especially for game development. Some of the points raised are my concerns, especially wanting to chuck something together (to improve later) only to fight the compiler, etc.

I would be interested to know what language they choose moving forward. It seems the contenders are likely to be:-

C - because, you can,

C++ - ditto,

D - I think it is largely ignored, and there is the betterC flag

Zig - Seems interesting,

Odin - Also interesting

Anyway... going to enjoy reading the comments, now.
r/AskReddit has been my guilty pleasure for like a decade, and it's super prevalent there too. No products being pushed in the threads I've seen called out.
Show HN: Easy Itemized Bill Splitting
Thank you for that. It made me chuckle!

Here are some counter-examples:

* A new car company making a new kind of vehicle. The first time I heard he wanted to build a new car company that would sell EVs, I dismissed it as crazy. Tesla now sells close to 2M vehicles a year, roughly comparable to BMW.

* A new network of EV charging stations. The first time I heard about it I thought the company would never recoup the capital cost.

* A new rocket company. The first time I heard about SpaceX's early days I dismissed it as crazy. SpaceX now sends 10x more cargo to orbit than everyone else, public and private, combined.

* A new satellite-Internet service. Prior to Starlink, every previous attempt to offer cheap and reliable Internet service via satellite had gone bankrupt.

* A new brain-machine interface. The first time I heard about Neuralink I dismissed it as "way too early." The company just showed a disabled man using a computer with his thoughts.

* The latest beta version of the self-driving software (FSD Beta >= 12.3.6). I've tested it and I am... impressed. Even though it happened much later than Musk predicted. Here's what it's like: https://www.youtube.com/watch?v=eIjOs1Gum2M

* Dojo, which is now online. There's a picture of it on the last quarterly deck: https://digitalassets.tesla.com/tesla-contents/image/upload/... -- though I don't know if it will be able to keep up with Nvidia's offerings, which are always improving.

Some things you mention failed, and the jury is still out on Cybertruck, Roadster, Solar Roof, and X (Twitter).

But the track record is there.
Neat, thank you! I hadn't heard of frida.re. I'll definitely have to dig in to that!
> so far behind schedule it’s worrying

Would note that to date, Artemis has been solely delayed by Orion not being able to get its shit together.
That doesn't absolve them of the fact that they underdelivered on a 8-9 figure deal by 66% over 7 years.

The fact that PepsiCo leaked this to Reuters itself means they are on the warpath right now (eg. probably trying to strong-arm a significant refund and cost reduction, or setting up the paper trail needed to begin litigation over breach of contract).
This will definitely be subjective and I highly recommend using the subreddit search to find topics you enjoy, BUT here are a few of mine:

r/billiards
r/boots
r/frugalmalefashion (arguably small nowadays)
r/hiphopheads
r/mtb
r/self hosted
r/sffpc
Telsa's behind schedule, but the scale of the ambition is frankly wild:

> In October 2022, Musk told investors that his goal was to make 50,000 Semis in 2024.

If they achieve a tenth of it 5 years' late, that's still incredibly good for humanity.
I'm part of a few book subreddits and I definitely enjoy the reviews and discussions there. My TBR list is in thousands thanks to them...
Tesla is in a bit of a bind in that the model y is difficult to improve (beyond the upcoming highland refresh). Fundamentally, it does its job so well that all it needs are minor tweaks.

Supercharging network is essentially complete from a fundamentals perspective, you can nearly go anywhere with a EV with a bit of planning. The market can fill in the gaps.

The roadster and semi situations are headscratchers, but I guess Tesla doesn’t want to hassle with a “sports car” with the same performance as its biggest sedan. I don’t think the Semi really works purely from an energy density perspective. Diesel-electric hybrids make far more sense for big rigs for current battery tech. The Tesla semi is sorta stuck.

The layoffs make sense in that light. They have implemented the step change in Ev Manufacturing, built the machine to build the machines, are very close with FSD, built the charging network… working to avoid innovators dilemma, perhaps?

Treating employees poorly is no good.
This is very interesting, can somebody explain what this is and how it's different from executing through sudo? The LWN post links back to Lennart's Mastodon which in turn is a big pile of toots (ugh) in the wrong order
I believe the consensus among prominent computer scientists is that P != NP. I'm not really too sure how deep learning models will solve this.
YouTube deletes account for impersonation, even with support from impersonatee
James Hoffman is a coffee YouTuber. From community post by James Hoffman:

I just wanted to write a quick update post about the Hames Joffmann channel. For those unfamiliar, it was a channel that recut and recomposed my videos delightfully and hilariously, and did so having asked and with my full permission. Recently, @YouTube removed the channel, citing a violation of its policy regarding impersonation. (Some people have asked if I had anything to do with the takedown - I did not.) The channel was clearly labelled as not being me, and they appealed against YouTube's decision. This was denied, and the channel was completely removed.
I contacted YouTube through my partner manager and through their support channels, explaining that they'd made a mistake and advocating for the channel's return. The response from YouTube kind of broke my brain.
I hope Hames has the masters and reuploads them to a new channel, but I'd understand if they didn't want to. It just seems very disappointing and also weird for YouTube to advocate taking legal action against them.

————

Response from YouTube:

Hi James,

I've followed up with our internal team regarding the channel (@hamesjoffmann). Unfortunately, it seems the best course of action is to file a formal legal appeal.
diesel engine mechanic here. ive been following the tesla "truck" thing for about a year now and it seems pretty miserable. i dont have the sources, but from several blogs and trade rags (trucking news, professional driver, etc..) ive read the situation seems like it wasnt very well thought out.

- first callout was OTR longhauls. Musk clearly didnt want his trucks stuck as lot-tenders where they would work brilliantly, he wanted publicity on the road.

- longhauls cancelled because obvious infrastructure limitations. batteries and motors failing more frequently due to the load and the range. reports of using tesla consumer vehicle components in the drivetrain. switch to regional routes

- regional routes failing between AZ/CA due to thermal and performance issues. range issues.

- professional drivers hate these trucks. worse than international (truck brand). center-seating makes visibility, toll booths and logbook checks a chore. side mirrors are static and too high.

Musk needs to come back to earth. OTR (over the road, long hauls of 1800 miles) is a non-starter and will never work with current technology. professional drivers can not lose 30 minutes every 400 miles on these routes to charge, they will miss all their drop times.

make the tesla semi truck a lot tender. massive power to realign and arrange heavy trailers all day long in a parking lot or warehouse lot. bonus points: make the tesla semi truck a driverless lot tender since lot-tenders dont need a CDL.

EDIT: If you want to see something I think the actual trucking industry is getting excited about, check out Edison motors. They're running a hybrid diesel/electric design that would work wonderfully for things like clean-air city driving where the batteries are getting topped up at every stop and speeds are under 50mph, and a small diesel generator when the batteries need a charge. this is similar to how Great Western Rail in the UK runs their trains (just with batteries) and still supports a traditional truck drivetrain. Its designed to be punished from what i can see...the primary application is as a logging rig.

https://www.edisonmotors.ca/
The solution to a problem isn't limited to undoing the cause.

Pros and cons not withstanding, any intervention which reduces obesity is a solution. Think of it like having a flat and thinking that taking the nail out of the tire is the only way to fix it. Replacing the tire also works.
Main discussion at https://news.ycombinator.com/item?id=40199715 turns out.
Can LLM's produce useful code?
After using code LLMs' for a bit, I wonder whether there is significant productivity gain in using them. I found that its limited for me.

Main reason:
a) to find the right code, I have to keep sampling it, and b) it doesn't seem to be able to solve larger / more complex problems that I actually find more need for.

I found some interesting research on combining planning-algorithms for complex problems, and some ideas on guiding the LLM's decoding process towards correctness by optimizing it via reward functions and reducing the search space.
I've detailed and summarised the main points in the post above.

Questions:

1) Do you find code LLM's really useful? Please share some stories / examples where they help vs they didn't. I'm trying to form a better understanding they are just fancy, vs actually productive and useful to most

2) Any other research ideas being pursued in this field ? / what are you trying ?
Also r/AskHistorians

EDIT: Also, the way I make Reddit useful to me is I change the default sorting for subreddits from Hot to Top > Monthly, and also disable content recommendations. It'll shows less content and Reddit will sometimes say "No more content right now", which is great.
I totally understand why, but no firefox support is a show-stopper for most extension developers.
I'm sure there's some truth to your speculation.

Yes and: Perhaps the Semi uses cells which are supply constrained. The Limiting Factor does updates on which models use which cells, where those cells are made, their current chemistry, and how cell supply might impact vehicle production numbers. Analysis based on data gleaned from public data, so uncertainty is stated as needed.

My own quick search didn't yield any answers.
But their consumer sales have collapsed, the market has more competitors than ever, and the second hand market is flooded with cheap model 3's.
It's an emulator for a lot of classic Nintendo games (from the NES to N64 and GB to DS) on iOS. Since the App Store now permits (non-JIT) emulation, Delta was published on the App Store. This app has been in development for the better half of a decade as something you could install after jailbreaking your device, but with the recent policy changes, it's now there for everyone to use.
just tried, not bad
I really wonder how true/untrue this is? For example, if you've founded and exited a company before I'm guessing you're more likely to do it again (this is gut feeling - I don't have data so happy for someone to disprove this with a study) but is that only because people think you're more likely to succeed and therefore give you more resources (capital, employees joining, customers paying etc.) improving your chances thus perpetuating this idea.

It's like some kind of twisted Hot Hand fallacy (https://en.wikipedia.org/wiki/Hot_hand) that bends in on itself actually making it not a fallacy if everyone believes it.
I gather that SpaceX, too, is cash flow negative and heavily invested in moonshot bets.

Meaning that, like for Elon's other companies, they might be in an incredibly vulnerable position, financially speaking. A disaster could sink the company. But simply failing to have some of these risky bets pay off could be just as damaging. For example, even if everything in the plan works on a technical level, if there isn't enough demand for Starlink's service to support the whole Starlink 2 project then that might turn the entire Starlink 2 project, including the Starship rocket they need to launch these larger satellites, into a big money loser.

Not entirely unlike how we're seeing signs that Tesla may not be a sustainable business, not necessarily because of anything fundamentally wrong with their core business, but because they made some over-aggressive assumptions about how many golden eggs their goose would lay.
Yes. It's the non-Latin alphabets that lose with either UTF-8 or UTF-16, compared with stateful ISO 2022 page switching.
Check out DepthHub: https://www.reddit.com/user/Lapper/m/depthhub/
It's a "multireddit", an amalgamation of multiple subreddits, a feature that Reddit as a company no longer seems to care about.
From the description:
"DepthHub gathers the best in-depth submissions and discussion on Reddit. You can use the DepthHub as an alternative front page with high quality discussion and inquiry. "
I used to visit it pretty much every day, back when third-party apps were allowed.
One man's lie is another man's "4D chess move".
That's the thing, it's not clear that the Python core engineers are more talented than other Google SWEs on average. You have all sorts of talented engineers working on all sorts of random projects within Google.
/r/AskHistorians is a national treasure. Don't trust any 'historical' information from any other subreddit.
Reddit is the ideal place for bots, because there is a critical mass of anonymous posters who will bicker about topics they know nothing about–not to mention numerous other shameless cultural practices. It is may already be impossible for regular users to tell themselves apart from LLMs when engaged in typical Reddit discourse.
>nation-state-backed

Is that actually known?
Imagine today's AI several years ago, the Democrats could have used AI to generate ten times the disinformation about Trump and the Russians instead of having Steele write one dossier.
Sure, but you bring up all those examples specifically because they're exceptional. A lot of products that seem dumb do end up staying dumb.

I really do want electric vehicles to get better, but that doesn't change the fact that they objectively do suck right now.

And to be clear, they objectively suck, by nearly any measure, for a consumer. They break down more often [1], cost more to fix, they have shitty range, they take forever to charge, they're more expensive. Yes, you get to have a smug feeling of superiority for pretending to save the planet with electric cars, I guess that's worth something, but that doesn't undo the rest of the problems.

Until electric vehicles stop being crappy, corporations simply aren't going to use them, and they can hardly be blamed for it. I do think they'll get better, I think they'll get longer ranges and faster charging and the mechanical problems will get sorted out, but I don't think that pretending the problems aren't a real makes them go away.

[1] https://www.cbsnews.com/news/electric-vehicles-consumer-repo... This one keeps bothering me because people keep saying that electric cars "cost more to fix but they're so much more reliable so it almost doesn't matter!!!!", when that's objectively not true, at least not yet.
> As I mentioned in another reply, "remind me every day at 7PM" isn't a timestamp. It's a formula for how to determine when the next timestamp is going to occur. Even those examples are too narrow, because it's really closer to "remind me the next time you notice that it's after 7PM wherever I happen to be, including if that's when I cross a time zone and jump instantly from 6:30PM to 7:30PM".

That's certainly fair in the context of a recurring event with some formula. I caution that a lot of people will still immediately reach for timestamps to calculate that formula, particularly for a next occurrence, and in the context if this conversation they would be given as an ISO8601 datetime based on Local Time. I would also caution that calendar events that have a distinct moment in time that they start are also prime for Local Time where a UTC-default mentality will cause errors.

> Consider my statement more in the context of logs of past events

From the stance of computer generated historical log data, I definitely agree that UTC everywhere is a sane default and safe to assume :)

(And, in your defense, I would definitely argue UTC-everywhere gets you 95% of the way there for 5% of the effort... I get why people make the tradeoff)

> (I know they're not the same, but they're similar in the sense that they can let you convert timestamps from one TZ to another).

More nitpicking on my part, again, I'm sorry, it lets you convert from one _offset_ to another or from an offset to UTC. Think Arizona being a special snowflake who (mostly!) doesn't observe DST. You can't assume all UTC-7 offsets are all Mountain Time.
As much as I dislike reddit, Facebook groups are awful to use. The interface is such a huge turnoff.