skysight-inc/HackerNews huggingface dataset:
The search is applied on all relays that are currently visible on the map with your current settings. Search results can be selected to view the details of relays.

Currently we do not have an option to display solely relays that you searched for back on to the map. But we could add something like this in the future :)
Many people do not have side projects. Few people working as software engineers were not tested in some way.

I think it's more useful and more fair to give candidates some direction when I request something. What scope is enough? What tests are enough? We define side project differently or you would expect much more time from candidates than I do.
Selling this for 20k is laughable. They need to investigate or say they are investigating, but the report doesn't smell real.
That ship sailed with Quantum physics. Nearly perfect at prediction, very poor at giving us a concrete understanding of what it all means.

This has happened before. Newtonian mechanics was incomprehensible spooky action at a distance, but Einstein clarified gravity as the bending of spacetime.
admittedly my initial reply wasn't that helpful in clarifying ;)

yeah, tp3 is great. there were a lot of pretty decent compilers for ms-dog; being able to address hundreds of kilobytes of ram (even if awkwardly) and having separate 64k address spaces for code and data really reduces the difficulty of getting a decent compiler running. the compiler scene for cp/m is fairly dismal by comparison

also, the 8080 and even the z80 were a lot less hospitable to c compiler output than the 8088. on many small processors, though not the z80, sdcc by default compiles everything that isn't specifically marke as __reentrant as non-reentrant, so your parameters and local variables are statically allocated; this isn't compliant with the c standard but is surely a better default tradeoff for the 8080 (which sdcc doesn't support) and probably for the z80 as well. see https://sdcc.sourceforge.net/doc/sdccman.pdf#page=49 for details
This is actually pretty good! I smiled.

One quibble: in some cases the first line is too long (or the font was too big, however you want to look at it), and the last word wraps around and gets stepped on by the second line.

But pretty good!
It says in the post that this is what inspired the project.
One solution here is: then we solve the next problem, that is: we enable a payment standard like India does with say UPI and enforce all apps to use that standard, and so all apps should be able to accept any payment method which enforces that standard.

But also, users who really care about end-to-end user experience will automatically prefer standard payment apps. So, then bad apps should automatically get weeded out.

Finally, it is possible I admit, that here, we have "What's good for an Apple user?" vs "What's good for long term goals of the system?". Because it is quite possible that the long-term cost that happens because of the monopolistic practices of Apple only impact poor users negatively, and not rich users. And therefore, the only argument that actually works is, "This is bad for the whole population in general in long term, because of the potential for abuse in future by a company."

In such a case of potential abuse, it is possible that the users would then look the government to help them out, possibly at huge cost to the government. So, it might make financial sense on the part of the government to prevent such a situation from arising in the first place. And then,
the real solution to this problem would be to break up Apple the phone hardware company from Apple the iOS company from Apple the payments company.
The WebStorm 2024.2 Roadmap
A scientific run-down of coffee blooming
I live on tens of acres of wetlands. Two 1/4acre ponds, front is a marsh.

The muskrat damage constructed pond shores, but what they create is a low maybe 1 foot deep shoulder where their holes erode dirt onto the pond slope, which is excellent for wildlife. Its the area herons stalk for prey and fish breed. In my case my ponds are very secure with mud banks, so not being worried about leaks I decided to leave the muskrat. They are very cute. That was a few years back.

One spring I found 3-4 bodies washed up, possibly from Tularemia. More moved back in, and the spring we went from 2 to 6 individuals, and all the plants started to disappear. The reading I did said muskrat are very much a meta-population like the article mentions. In absence of predators, they will eat a place bare until it can no longer feed them and then migrate.

Close to the house I've now adopted a slow reduction with a rifle (non-lead rounds) to offset my imbalance of protecting them from predators. The pond shore damage hasn't stopped so they're still there but it has slowed enough to have time to get out with a wheelbarrow and fix the holes. Plants are doing fine.

In a similar balance I shot a pair of extremely large snapping turtles two years ago after learning large snappers have no predators, and we now have a new population of tiny turtles (~4 different species so far). I'm never happy to kill anything, but hopefully in these two cases I'm performing my steward role adequately.
I just back up my files to USB drive, and then transfer them to new machines manually.
Wow! What a work of art!

A few more links for the record (don't read too soon, possible spoilers):

https://www.reddit.com/r/xkcd/comments/1bxg43b/xkcd_2916_mac...

https://www.explainxkcd.com/wiki/index.php/2916:_Machine

https://github.com/xkcd/incredible
Test and learn how DMARC, SPF and DKIM work
I'm puzzled why anyone would incorporate code on trust. I certainly don't trust LLMs for code, but I use code from LLMs on most work days ... not because I trust it, but because I understand it and tested it. So, the same as code from anyone, including from myself six months ago. Trust doesn't enter into it. Clear and workable solutions do, and I've gotten an impressive number of those.
I can’t help but hear the Blue Ball Machine music from the YTMND.
English learners can now practice speaking on Google Search
I guess it requires more imagination than I have, because I don't understand what a military moonbase gets you.
And it would probably do a decent job of cutting you or your friends up when human and the propellor come into contact...
Cocoa Rally Is Spilling into Coffee as Traders Run Out of Cash
I've been working on the same thing, there is an interesting quote from back in the day and its either make your program faster or wait 6 months for the computers to get faster. I look at it the same way now with Key Point Analysis and Pose Estimation libraries.

I think OSS is best for this category right now.
The only way to really do it is to add a second layer of processing that evaluates safety while removing the task of evaluation from the base model answering.

But that's around 2x the cost.

Even human brains depend on the prefrontal cortex to go "wait a minute, I should not do this."
TurboVision: https://github.com/magiblot/tvision

Charva - http://www.pitman.co.za/projects/charva/index.html

AbsTK - https://gobolinux.org/abstk/
this comes at the cost of some decrease in battery life

What does? I said the limitation is usually getting enough electricity to charge them fast. Most of the time EVs are not being charged as fast as they could be.
I would wager that the regulations governing LO2 generation facilities preclude pursuing that as a side product. I imagine lots of red tape, either already in place or coming soon -- right after someone blows up their neighborhood trying.
That's nowhere close to my experience. Things that steal focus constantly: 1password losing SSO token, UAC for an application's backup, 3CX call coming in, every random thing in vscode, ...

It's not something windows does or can disallow. You just focus the window in the code and that's it.
Building out technology that we already have can save us. We just need to agree to pay for it, which we can't because some of us are too poor to make changes required, some of us are apathetic, some of us are actively antagonistic (think coal rollers and such), and some of us are ignorant (willfully or otherwise). Like all large-scale problems, it's the people who are in the way, not tech.
I literally just took this photo right now (2024-05-08) https://ibb.co/v3rdHcm
You seem to have misunderstood what I’m saying. Iteration is how you learn. Learning through iteration, which is known under various names like Wright’s law or more generally experience curve effects [1], goes hand in hand with economies of scale in driving down costs.

Yes, iteration requires you to survive. Not sure how that’s relevant. Cutting corners also isn’t necessarily a bad thing - you’re focusing on the extreme example where people die. Cutting corners can also be a careful evaluation of what processes are and aren’t relevant to a given situation but that becomes trickier when it’s enshrined in law. Imagine if guidelines from the 80s about how to write software were enshrined in law.

Regulations more often than not do ignore the flip side in terms of the cost of compliance because it’s difficult to show the counter factual universe in which a regulation may save 10% more lives (or maybe even 0% more lives) but drove up costs by 100x.

[1] https://en.wikipedia.org/wiki/Experience_curve_effects
Any organization/country that has the ability to use a tool like this to create a bio weapon is already sophisticated enough to do bioterrorism today.
While nothing of the sort exists on Joe Biden's page.

Probably because there's really nothing in Biden's history of statements that compares with the kind of stuff Trump routinely says. Not even the "racial jungle" remark (which while impolitic, doesn't carry the racist import sometimes attributed to it).

It does mention the sexual assault allegations (including the not-so-credible ones from Tara Reade), so there's no censorship there.

We don't have to come to agreement on your overall point (and precious few are still reading this thread by this stage). I just wanted to get a sense of where you were coming from.
Ah, I was confused by this as well, this information is missing from the article. I couldn't find any explanation about the colors in the application either.
How do the "special tokens" work? Is this a completely reliable mechanism for delimiting the different parts of the prompt?

Are they guaranteed to be distinct from anything that could occur in the prompt, something like JavaScript's Symbol?

Or are they strings that are pretty likely not to occur in the prompt, something like a MIME boundary?

Or are they literally the strings "
" etc. used to denote them in the spec?
I've been using https://yaddle.ai. It's got a nicer UI, free to use, and has a lot of models to try.
Would it be a good idea to try on wind turbines?
Thanks! Cloud is active yes. Just install Plandex as described here https://github.com/plandex-ai/plandex?tab=readme-ov-file#ins... — then run `plandex new` and you’ll be prompted to start an anonymous trial on cloud.
Follow up: I just took this photo: https://ibb.co/v3rdHcm
You haven't quantified that comparison so you really don't have a clue. Just saying physics is more powerful than politics doesn't mean the outcome will be worse.
Just out of curiosity, and since this is vaguely related to the content, how has Fly.io adjusted to SOC 2 when it comes to infrastructure changes and deployment? I read a while ago about how you guys passed SOC 2 which was an enlightening read, but I'm curious what systems you have put in place to keep velocity going and how you manage change more generally across infrastructure?

My current experience is that once we started transition to SOC 2 compliance and brought in new processes everything crawled to a halt, we now have multiple layers of reviews and scheduling, and the bureaucratic process is followed at the cost of expediency and doing sensible things in a sensible way (i.e., everything must follow the process, no matter how trivial or significant.)
So far, the closest buildsystem I've seen to that model is Mozilla's build system (https://firefox-source-docs.mozilla.org/build/buildsystem/bu...), the core of which is a set of python files that basically describe the build graph given the feature context. A simple file might be:

SOURCES += ['a.cpp', 'b.cpp']
if CONFIG['OS'] == 'WINNT':
SOURCES += ['win.cpp']
elif CONFIG['OS'] == 'OSX':
SOURCES += ['osx.cpp']
else:
SOURCES += ['unix.cpp']

I like that it uses the Python language rather than coming up with its own DSL for handling conditionality or things where you need to do loops, and by splitting up the steps in the way that it does, it keeps the build system fairly declarative. But don't look under the hood, because the things under the hood are fiendishly complex and it's way too complicated to be usable for a simple project.
So after 6 years of this "revolutionary technology", what we have to show for all the hype and breathless press releases is: ....another press release saying how "revolutionary" it is. Fantastic. Thanks DeepMind.
Please don't take HN threads into nationalistic flamewar. It's not what this site is for, and destroys what it is for.

If you wouldn't mind reviewing https://news.ycombinator.com/newsguidelines.html and taking the intended spirit of the site more to heart, we'd be grateful.

We detached this subthread from https://news.ycombinator.com/item?id=40271871.
OP and library author here. You’ll find the background to this in this blog post: https://neon.tech/blog/bringing-psqls-d-to-your-web-browser
Apparently in Germany you can do public wifi now, but you have to register as a telecommunications provider, and comply with all law enforcement requests to wiretap your wifi.
NYC subway, today: https://ibb.co/v3rdHcm
But how can you use those interfaces without an ABI?

Fundamentally, an ABI is the way you define interfaces.
Would you also be someone else if you were born in the same family, country, and decade but with different DNA? Or would you be the same person?
I feel like I’m the right audience for this - a not very good climber with unusual distribution of limbs.
But I’m not interested - part of the fun in climbing is on sight climbs and solving problems yourself.
There are plenty of options other than cmake. Ideally:

1. read the GNU Make manual
2. Write a tiny build system with Make or use any of the precanned ones. I use this: https://github.com/dkogan/mrbuild/ but there are many others

In any case, learning how to actually use Make is a prerequisite to having an opinion here.
Maybe not, but the more interesting question (to me) is...

What happens if an LLM defames you? LLMs make untrue factual statements a lot, and it seems inevitable that one will make something up that does real harm to someone.
My realizations happened after my PhD. When I was writing my PhD I still believed we would solve the protein folding and structure prediction problems using classical empirical force fields.

It wasn't until I started my postdocs, where I started learning about protein evolutionary relationships (and competing in CASP), that I changed my mind.
I wouldn't say it so much as "multiple sequence alignments"; those are just tools to express protein relationships in a structured way.

If Alphafold now, or in the future, requires no evolutionary relationships based on sequence (uniprot) and can work entirely by training on just the proteins in PDB (many of which are evoutionarily related) and still be able to predict novel folds, it will be very interesting times. The one thing I have learned is that evolutionary knowledge makes many hard problems really easy, because you're taking advantage of billions of years of nature and an easy readout.
It works sometimes. Usually, it requires phone number or email verification. This is important for protonmail to maintain a revenue stream as they don't allow multiple free accounts for the same person.
The AI analysed my body and said coldly, "Just take the elevator."
Do note that the reference here to CA is a conceptual reference, in other words it refers to a trusted entity who can verify certain bits of information (like your age or identity) then issue certificates for it, "trust anchor" is the lingo Certisfy uses for CAs.

Hostnames are what TLS certificate CAs such as DigiCert verify ownership of then issue certificates for; the same concept can be applied to any kind of information, including private information.

For instance a state DMV could choose to be a Certisfy "trust anchor"/CA and issue you a cryptographic certificate for your driver's license to be used for IRL identity anchoring.

So no, a "trust anchor"/CA need not be a big tech company, in fact if such a concept is deployed at scale a large class of entities can/should play the role of "CA", including people doing it as part of a business service.
The male could also use this to improve dispersion of milt over the roe laid by the female.
I'm with @delichon... I don't "trust" LLM generated code, I review it and decide how appropriate (if at all) it is, possibly modify it, and include it if it makes sense. Trust isn't really part of the equation.
At the time it organically grew in a year or two, i've added my projects to the "awesome x" lists (like this one https://github.com/enaqx/awesome-react) but thats pretty much it. Overall I think it was a great experience to learn from but I wish I didn't spend so much time on it.
https://en.wiktionary.org/wiki/goyslop
Here's what I usually get from them:

accurate function header
accurate glue code
wacky invocation of some API that may or may not exist
accurate glue code

It's rare for me to get anything really useful. I suppose the accurate glue code can be helpful.
You are saying that Europe is rich because it has recently become a melting pot similar to the US' role when it became rich?
Seems like they are working on adding that capability:

> We're exploring whether we can responsibly provide the ability to generate NSFW content in age-appropriate contexts through the API and ChatGPT.

Link to section: https://cdn.openai.com/spec/model-spec-2024-05-08.html#dont-...
Quality very much depends on the language I've noticed. I don't use ChatGPT but I do use Github's Copilot. The main way I've been using it lately is to make manually written algorithms more efficient. So I'll write an algorithm, select it and ask it to figure out a more time/space efficient way of doing it. Still makes a mistake every now and then, but at the very least it helps me quickly see things from a different perspective.
I interview best when I'm relaxed and it doesn't feel like there's a lot riding on the interview. What has worked for me is to interview early (when I feel "maybe I should leave my current job", rather than "I have to leave this awful job ASAP or I'll lose my mind"). Even then, I've had bad interviews - where it's like forgetting your own phone number or PIN; It's hard to recover from your brain short-circuiting early on, I suspect my interviewers may have thought I'm a fraud too, but such is life.

Interviewing has plenty of randomness - on a few occasions, the stars were aligned and I solved sequences of very challenging technical questions much quicker than the interviewers had planned, which gave the impression that I'm some sort of genius. That performance was not representative of my usual capabilities, but I didn't tell them that (:
What sort of quality problems? I don't really follow ev news but I haven't really heard of any specific issues with them, vs say tesla and their well known issues.
or to phrase it differently: what kind of market is this, where big companies are herded into tarpits of SaaS which apparently have exactly the same problems as running it the old way had (namely inefficient usage of ressource). Just now you have to pay some symbiotic start-up instead of hiring some generic performance-person.
Reading this write up is funny, because I had no idea this is what was happening. There didn't seem to be an explanation of what was going on. I didn't know it was a shared experience, just that various random things seemed to be chaotically happening. I completed a couple of tiles and I guess submitted them as I thought that was how you got to "the next level", but gave them really stupid names like "test 1b" - mostly this is because I assumed it was single player and only I'd be seeing the name!

I also got bored after creating a couple of tiles. I scrolled around and saw very complicated things, but didn't realise they were submissions, just starting points for solving the level...

I guess I was the April Fool!
If you're interested, Steve (Albini) goes into detail about his father and his contributions to wildfire science during an interview on the Marc Maron podcast. It's fascinating listening.
Technically, GC can be part of manual memory management. The "manual" doesn't mean any algorithm is ruled out - it just means the developer mindfully chooses the right algorithm for the right situation.

As apposed to the language, compiler or system always making those decisions.
I don't trust code from stack overflow either - I always use the found code in a minimal working example - where I fix the obvious issues, convince myself it's doing what I want, and not doing anything that I don't understand, and then put that into my main project.

I've had a lot of success with chat gpt where it told me what libraries to use, what classes/functions I need, etc, where it would have taken me ages to find out by reading documentation and even longer to go through tutorials that leave out the more interesting stuff.
Execa 9: our biggest release
Except for Linux, those well-defined interfaces sit behind a C API.
Good question! Boat motors spin a lot faster than the "Underwater bicycle" propeller would so perhaps it's not as beneficial here, but would be interesting to try.
Another heart attack for a male between 55 and 65. Sheesh. I know of dozens of them. A few women too, but overwhelmingly the dead are male.
Io_uring?
Stack Overflow users deleting answers after OpenAI partnership
I would back this one up as well. The code I generate in chat gpt is rather "dumb" (mostly react components, nestjs modules, etc) and in this case I trust myself to test and use it.
https://archive.is/k7ImW
This post starts with "then" but isn't responsive to anything I said.
Don't know if I'm allowed to. It's not that special though.
Are you using GPT-4 or the free version?
Used to be that higher level management at Google was technical too, BTW. You could discuss deeply technical matters with them like you would with a very capable engineer, and they’d also chime in with design feedback a lot of which was extremely insightful. That’s long gone now.
I use yadm too but I found the changes between versions a bit tricky. The upgrade scripts didn't quite work, although I did try to jump from v1 to v3
Sounds like GPT 3.5 to me, version 4 is much better at code.

Also, as a general rule you shouldn't trust its code output, but it's a good way to brainstorm or get started on coding something. It can give useful tips or replace stack overflow. I almost never ask it to generate code for me, but I ask it questions about existing code very often. That seems to work very well for me.
Straight out of Cryptonomicon
Agree. The snippets from ChatGPT are essentially open-source as in they are fully inspectable and can be freely modified before execution. There is zero trust required.
> echo 1 | sudo tee /sys/devices/system/cpu/intel_pstate/no_turbo

Isn't that going to torch performance? My i9-9900 has a base frequency of 3.6 Ghz and a turbo of 5.0 Ghz. Disabling the turbo would create a 28% drop in performance.

I suppose if everything else on the system is configured to use as little power as possible, then it won't even be noticed. But seeing as CPUs underclock when idle (I've seen my i9 go as low as 1.2 Ghz), I'm not sure disabling turbo makes a significant impact except when your CPU is being pegged.
Most probably they use some underlying technologies from KDE Frameworks or something along those lines. But not an actual Plasma Shell or anything like that.