skysight-inc/HackerNews huggingface dataset:
>> What's wrong with only being trained to use a specific tool? The robot is designed to be easy to train via teleoperation.

What's wrong is the fact that it's not just one tool, but one particular tool (specific size, shape, colour etc), placed in one specific way on one specific countertop, in one specific kitchen etc etc. Try to calculate how many different configurations there can be of this combination and you'll convince yourself that there is no way to make any real progress with methods that rely on such specific conditions and have to be re-trained everytime any detail changes.

As a for instance, the robot trained to fry one measly little prawn would have to be trained again to fry two, or to fry them in a bigger or smaller pan, etc.

Btw, the robot didn't fry the prawn. It pretended to. Because it has no way to tell when the prawn is fried. Good luck training it to do that.

>> Edit: I just realized that it is only the first video was sped up by 6x. So basically, the robot is already fast enough and can only get faster.

I was talking about the initial video, not the others. And you're wrong- that's the limit of the hardware. To make it faster the researchers will have to build a faster robot and that still doesn't change what it can and cannot do, at any speed, fast or slow. The speed doesn't have anything to do with generality.

>> One day it will be 3x slower, then 2x, then 1x, then, oops.

One day we will all live on Mars and consort with aliens. I like science fiction too, but this is proposed as real-world progress, right now. Well, it ain't.
The key elements that I consistently see missing when comparing languages is the cost/effort of maintenance and how easy is to write fast/slow code.

The former boils down to, there's little point saving time in the writing of new code when new versions of the language hinder the use of old codes. Julia, being a very young language, simply does not have the legacy of backwards compatibility that Fortran has and as a result libraries written today are unlikely to work in 10 years time. Partly because of Julia's age and partly because backwards compatibility is not valued as much as it is in Fortran. The GNU Fortran compiler can still compile code written nearly 50 years ago (https://gcc.gnu.org/fortran/).

The second point is that benchmarks like this seem to focus on tuned implementations, which is really important, but another important aspect is how easy is it write fast code. With Fortran, it is very easy to write very fast code as a lot is abstracted away from the programmer so they can focus on FORmula TRANslation. My experience with Julia has not been the same and thus for people don't have the time to perform such optimisations, Fortran may still be the better choice.

I do look forward to watching the development of Julia but for now I'll stick with using Fortran as the high performance numerical language in my tech stack.

I'll finish with something I've read but I can't remember from where:

Over the years there have been many examples of "X with replace Fortran" and the only thing that ends up getting replaced is X.
"Boeing Repeatedly Burned By Outsourcing" - https://simpleflying.com/boeing-burned-by-outsourcing/
I created a Wordle equivalent game in Kannada language called "Padaku".
Oh yeah that’s a fair point! But I’d hope the data isn’t used outside of that use
> everyone just wants … something easy to run

This is a valid need that any project maintainer should aspire to address.

The ‘lowest common denominator’ is absolutely acceptable in an era of cheap storage and memory available to the average self hoster. Even a Pi4 or 5 will handle clunky containers.
> Tayloresquece methodologies like Agile are great for getting mediocre results for mediocre projects using mediocre developers (if they are not mediocre to begin with, certainly they will become so) in a repeatable and reportable fashion

Nuanced, humble, and thoughtful opinion. Thank you.
This was a problem before "AI" and will definitely be a bigger problem going forward. That said, there are more great books than I could read in 100 life times published before 2020, so I doubt this will be an issue for me personally in practice. For current events or evolving knowledge like new science or technology, I would probably have that summarized by an LLM anyway as a preference. The author is really saying "AI is hurting authors".
> (...) leads me to simply no longer trust this aircraft.

aircraft -> company
It’s essentially the next logical step in this grift: https://youtu.be/biYciU1uiUw?si=_K1VAtnj-VRXCONQ
That's the point, as long as it's illegal criminal would reap the profits. Same with everything else
Original post at https://cerfacs.fr/coop/fortran-vs-python

Contents:

- “Python, a slower language”

- “more and more”

- “time-critical scientific computations”

- Is Python ever better suited?

- User story : same author, two languages

- Speed vs agility

- Takeaway
This is intended as satire, right?
Looking forward to next LLM model trained on books written by LLM models....
I've been curious lately about the existence of any religion, mythology, folklore, etc that capture something closer to the current edges of modern physics and astrology. Basic assumption is that most/all are based on dated observations of seasons, planets, stars, etc -- things that were once mysteries in the mechanical universe.

Are there any that touch on quantum weirdness or more recent astrophysics (black holes, gravity waves, FRBs, etc)?

Would be interesting to see if new myths are being born. Even more interesting if a really ancient one touch on some of these only recently discovered mysteries.
True, but I just want to water my plants. Don’t really want to revisit a MySQL cheat sheet again.
I think that it's worth keeping in mind that that isn't always possible. For example, with foster children it is not unlikely that experience with previous parents have already given a child baggage that will make that strategy much less successful.
As much as I can glean from the video, it's heavily dependent on a central database to hold the edits. If someone alters a video, the original would need to be viewable. Who's storing that, and streaming it? And then who's paying for that? I'm guessing that in the end this will be a paid service for journalistic organizations who buy in.
How is that related?

It was sarcasm. Pointing extreme of previous sentence.
Who subsidizes the air traffic?
Just try to avoid that row. (Whatever row that is.)
If you had said GPL, I would agree with you.

But you said "AGPL". AGPL SAAS running on someone else's computer that you can access requires that they provide you with the source code they're running. Barring shenanigans, that source code would enable you to run the same SAAS yourself if you desired to do so.

I'd say having the ability to run the program locally _and_ its source code is "more open" than just having the ability to run the program locally in binary form. With AGPL in your scenario you get all three of source access, local execution, and remote-SAAS exection. Proprietary local code you get one of those three.
You could imagine a Patreon link at the bottom with "if you liked these stories" hook to get you to pay money if it would make you feel better.
This seems like a space with a problem to solve: identifying AI-generated fiction and rating how much of a given work fits that classification.
I've flown a good amount in the 787, 350, and 380. I found them all to be of similar comfort levels.
It may not be as stupid as it looks. If this is connected to what I understand, the tech has its provenance in Starling Lab: https://www.starlinglab.org/journalism-about/

Starling Lab involves Dan Boneh.
I've been to a few countries outside of Europe and the US. Obesity and lesser but unhealthy fatness may not be as widespread yet there, but they're not that far behind. Also, what some cultures consider "not fat" isn't actually "not fat." Plenty consider "chubby" to be perfectly normal (and even attractive).
Put another way - if you think about something similar with cleaner abstracts - we'll use an FS with O(1) snapshots (BtrFS, ZFS, etc)

At the UI layer - to the user they see a snapshot as a complete, exact copy of the filesystem for each snapshot. How this happens is an implementation detail.
As far as the user is concerned the system is storing a complete, exact copy of the FS at each snapshot.

At the FS layer, is a snapshot stored as a complete, exact copy of the filesystem?
Absolutely not :)
It is stored as a pointer to some root object most of the time.
If you go further down, the objects may or may not be stored complete. They may be compressed. They may have portions of the object shared with other objects (dedupe and block cloning/sharing), etc.

As you go further down the abstractions, at some point it's not an implementation detail but instead fairly fundamental to the system.

In this case, as with git, the system could not afford to store complete exact copies of the FS, even if it had a way of doing so in O(1) time, which isn't possible in our universe anyway.
Police try to consult Google as an oracle in this manner because Google is a search monopoly. Otherwise there would be an insufficient connection to events under investigation.
A software meet-cute!
I think that there is probably a middle ground. Certainly there is a significant responsibility for parents to monitor their children's media consumption and teach them healthy practices. However, it is also not reasonable to expect that they will be able to do so all of the time or that they may not need assistance to do so.
From 24 Aug 2023... "Boeing and a key supplier find a new manufacturing issue that affects the 737 Max airliner" - https://apnews.com/article/spirit-aerosystems-boeing-737-fus...

"...Boeing and Spirit AeroSystems said they discovered improperly drilled fastener holes in the aft pressure bulkhead — which maintains pressure when planes are at cruising altitude – on the fuselages of some models of the 737 Max. Wichita, Kansas-based Spirit said late Wednesday because it uses multiple suppliers, only some units are impacted and it will continue to deliver fuselages to Boeing.

Boeing said the issue does not affect safety of flight, and 737 Max planes already in service can keep flying..."
Energy is an interesting comparison. Perhaps we should look at $/energy unit, and compare those dollars to the full cost of hiring a human including time off and benefits and payroll taxes and everything. We should also consider that the human consumes a lot of energy that the AI does not: many truckers have PC's, TVs, consoles, etc in their truck and burn fuel to play video games during their off hours.

I don't think we're going to replace truck drivers any time soon, but I'd be surprised if in say 30 years the vast majority of trucking wasn't automated.
Unifying Nature's Laws: The State of String Theory [video]
To me, the fact that Apple broke SMS by defaulting to iMessage to that contacts not on iMessage that previously had iMessage interactions get messages silently dropped is where the hammer should drop on Apple.
The eccentric engineer: an aviation ostrich destined never to fly (2021)
Is that a binary search (other than literally being a binary search)?

For a proper binary search you should right nextdigit+first digit/2, if you're going backwards.
> such as coming in late or not paying attention to grammar and spelling in emails

and they keep walking across my damn lawn!
You imply that we can produce and use all that hydrogen with net zero carbon, yet methane is impossible to somehow? We have to consider whole life cycle and infrastructure, not only the point of combustion at the nozzles. Then the hydrogen has its drawbacks too.
Reconfiguration prediction of the surrounding resources depends on the soft core and / or external cores.

With up to the size of a dinner plate, my FPGA's misprediction rate isn't bottlenecked by resource constraints.

I am also raising money for making it an eFPGA for hard cores to speculatively load and unload FPGA logic before and after its most needed.
It's weird, I always expected AI categorization and search to arrive long before generative content. But despite a lot of research going into that direction, it never really arrived in the consumer space. Search today feels not fundamentally different than search 20 years ago and if I want to know about a movie I still use IMDb like it's the 90s.

The already enormous mountain of content out there keeps growing, fuel by AI now, yet ways to explore that mountain keep staying the same or even diminishing, as the clutter in the results just keeps increasing.
Where Have the Billionaires Gone?
SmallTalk has the left-to-right for everything principle because everything is message passing and "operators" are just binary (as in two argument) messages which catches many out.

2 - 1 * 5

will return 5, while many would expect -3. You must apply parentheses if you want a precedence other than ltr.
Why. 69 is a number, if your students happen to find it amusing surely that's good?
No part of you has gas and is sealed like a bag of chips, and any stomach gas would quickly reset to a new altitude. Otherwise scuba diving would probably not work at all. Equalizing your inner ear to pressure changes, and possibly farting, is all it takes to reset your internal gas pressure to altitude changes.
I agree, a lot of unmaintained code is due to turnover of staff and few considering the software as an important output in its own right. But I don't think it would be that hard to find grad students/postdocs who would care about code, if that were something the field properly incentivized. Not only does software contribution not check the right boxes for career progression, it is also often looked down on.

I find this especially laughable in biology... I've seen some (faculty) PhD committee members object to the student having a thesis chapter related to software contributions, because this is not "intellectual". But they are perfectly fine with one of the chapters being a wet lab paper where the student was a 3rd author who contributed purely through helping run experiments designed by the 1st author (e.g. handling mice, pipetting shit). There are PIs that simultaneously hold these two views, which to me signals a real misunderstanding of the challenges in and importance of writing decent software.
Keyword warrants tend to be bad because of how broad they are. In my opinion, this was different. They used a small window of time and only used "keywords" that were the personal information of the victims. That's very different from searching for "where to get an abortion". Now they have to figure out exactly where that line is and how to define it.
I have an AMscope (without the ability to take images/video). I purchased it in 2014 so no promises on the brand today:

https://amscope.com/products/b120c-e3?gclid=Cj0KCQiAkeSsBhDU...
Use this: https://news.ycombinator.com/item?id=38891172
I've found systemd-nspawn to be a great alternative to the olde chroot method for fixing systems in a rescue shell. systemd-nspawn -D /mnt mounts the system like chroot but the real value comes with systemd-nspawn -b -D /mnt/ that actually boots the system in a container.
The value in a piece of writing has always been first and foremost in it's words. Randomly hand scribbled lines are not really worth more than the parchment they're drawn on. Handwriting of actual words does give a boost either in rarity(codexes were just not that common) or the personal touch(a hand written letter specifically for you).
I was trying to get back into reading, and after re-reading a few books I remembered liking I went on Amazon and sorted Sci-fi books by popularity or rating or something. Basically nothing on the first page was classics, it was all novels I'd never heard of with AI generated covers.

I dug a little into one of them and it sounds like it was an independent author (they posted about it on reddit) who I guess didn't want to put the same effort into procuring a cover as writing the book. A lot of authors I think don't have a lot of respect for visual arts and kind of see the cover as a forced labor to publish a book. TBH sci-fi book covers with abstract spaceships and rainbow nebulas are one of the easier things for AI to believably churn out.

But I guess I kind of use the effort put into the cover as a way to gauge how much the author and publisher themselves think the work is worth. Even if I could be sure that the books weren't AI generated themselves (I can't) I left thinking, yeah, I'm probably never going to read again, because I have absolutely no metric, however bad any more, for guessing about the quality of a the book.
70% of German trains that arrive at their destination are “delayed” (30 min or more).

A train that never arrives is not counted as delayed. About 30% of German trains do not arrive at their destination.

In Switzerland, the stats are single low percentage digits.

After multiple ultimatums, Switzerland stopped allowing German trains into Switzerland. The most popular connection between Switzerland and Germany (Zurich-Munich) has been kept but is now operated by Switzerland even though most of the ride is in Germany.

This is shameful and a lose-lose for all parties, but necessary.
Steer Clear of Firewalla Purple
Human energy consumption is highly variable. Especially when you do cradle-to-grave cost analysis. Are we talking about an average american truck driver? Or the ideal high-efficiency truck driver that is raised to only drive trucks, grows on agaragar and undergoes early depowering after its working years?
That really depends on what you mean by "machine learning system." For a business, implementing some researched algorithm and essentially using a template? Sure, it's possible. The research that goes into producing the algorithm in the first place? Probably not.

There may be some classes of scientific programming which have simple enough models for a software engineer to implement. Scientific programming that relies on deep understanding of the domain and mathematical models employed to study it don't fit in that category.
While true, compared to some of the other languages C code is still relatively close to source, e.g. it will not completely change your data types behind your back etc.
There is nothing like being in the space during an organ concert or church service. Shock and awe.
I think the issue is LLMs don't scale well to the level needed for search. They also have obvious latency. So generative usage seems to be the best fit at the moment.
The private keys in credit cards (the ones with chips) are pretty secure. I'm no aware of them being extractable.
I think many of you are missed the point. Someone powerful used the police to stop this guy protesting. This is an airport in a wealthy area and Mr Shearn is clearly an upstanding citizen with considerable local support.
So you think they intentionally not provided credentials, ruining their own release plans, yet somehow Apple took 19 days to realize and reply? The internet is funny…
That's not the first thing people might worry about, but this will also be a pain for archives.

When slop floods the library faster than it can expand, who will want to maintain that. I don't think we have good enough sorting and rating (or good enough AI output detection) to prevent bookspam.

This is a point in history where "record everything" stops being viable, and we have to start hand-picking the text we want to survive.
Indiscriminate things like Internet Archives stop being viable.

Why keep books, anyways? You can just ask the AI to re-generate whatever it is you want to read about on the fly.
> What you are describing is basically subsidies

In this case, subsidies (and incentives) are 'governments throwing money at engineering problems'. The US does the same for SpaceX, EV manufacturers, and the entire military industrial complex – with the latter making tech controlled by the government
It's not the labor; it's the fact that one contains information, and the other does not.
The problem is that it's pretty easy to fine tune an adversarial model to fool classifiers. In some sense, building that classifier is a very productive way to improve the model, so it's something the generative side is already doing. That makes it hard to win the arms race from the classification side.
When you hire a new person, there is usually some transfer of knowledge. Based on the above definition such transfer should be quick assuming that the person knows the platform and dependencies. A long time explaining the code is an indicator of needlessly complicated code
it haunts and fascinates me at the same time.
It will be great for editors and content curators - separating the good from bad, genuine from synthetic. This will further emerge and be valued.

Reputations as “reliable quality content go-to points” will be made.
It sounds like an absolutely frightening way for oppressive governments to use unjust laws against people. I cannot imagine such a tool being used for net good in any society.
I do not "trust" government, and I trust my neighbors even less.
Sorry for the late answer. Yes, there is. We hoped a Keystone-based[1] plugin would be a better alternative since it's based on the LLVM code, but the project looks abandoned now[2].

[1] https://github.com/keystone-engine/keystone/

[2] https://github.com/keystone-engine/keystone/issues/560
I don't like the equivalency of "books" with the sort of low-effort drivel that LLMs will replace. In reality, an LLM isn't going to replace an author that is able to communicate a particularly unique viewpoint or experience.

I do think, however, that book sales are going to continue becoming more dependent on author-as-person style marketing. Some of the most lucrative books in recent years were functionally add-on products to whatever the author's main "business" is, and the author themselves went on dozens of podcasts, etc. to tell their story. The days of being an unknown mass-market writer that mails a manuscript to a publisher then disappears, is probably over.
How about the whole "Indian Independence" meme never really becoming a thing? Or only a relative few of the smaller Indian states breaking away from the Empire - and that going too poorly to inspire further break-aways?
NZ is nice but it’s too small, I live in the biggest city, and the Python community is very small, and culturally NZ pretty barren being such a young country.

I lived in Germany, Spain and the UK for the last 10 years and it was much better - but had to return here for family.

It is nice to visit though! Make sure you try bungee jumping!

We don’t post job ads :)
With homomorphic encryption you can make them provably unextractable.
But they would do that at home as well. So irrelevant. If anything they consume less energy than people in homes.
A Mess of Causes (2023)
There's no difference. Targeted advertising demands information that I (and others) may not want Google (or other scumbag advertisers) to have. That's a privacy violation.
I would understand budget increases or timeline delays rather than fear for my safety.
Is this aircraft designed to a less safe standard than other aircraft? Yes. Is flying on this aircraft also one of the safest modes of transportation I will use this year? Also yes.
I rhink it probably matters at what stage one is. In my twenties I indulges in behaviors which have been shown to have off several years off life and laughed at the old fogies. Now I'm the old fogie and worry about every little symptom.