skysight-inc/HackerNews huggingface dataset:
Using LLM's for software development is cargo cult programming, automated.

The problem is not "incorrect" (syntactically) code. The problem is the developer trusting the AI to understand the nuance of the problem space, and to write the code the "right way".

As someone wise once said "writing the code was never the hard part".

A colleague recently used an LLM to complete some work, which required some concurrency - which they were clearly unfamiliar with. The LLM created a byzantine mess of multiple channels (which immediately deadlocked) when all that was needed was a single mutex.

A two minute human conversation would have turned up "you just need a mutex".

Even in the unlikely scenario that the AI generated solution worked, did the developer learn anything? No. Was the codebase made more or less maintainable? Definitely less.

I keep hearing that the LLM's will get better at understanding nuance and writing code that fits the problem space. It sounds an awful lot like how the crypto bros kept telling us that blockchain was the future of money and we'd soon all be rich.

The half-on-the-fence AI users tell me "I agree, but I just use it to autocomplete functions or write small things". I can do that myself - and I get the opportunity for my own brain to do it's own concurrency and interrupt me "actually, maybe this is not the right way to do this".
> stock tip came from her stock broker, who also happened to handle transactions for people with inside knowledge. The broker didn't know the details about the FDA trials

Source? Not disputing the broker was facilitating others’ insider trades, but if they were, it takes the suspicion to a whole new level around why this broker is so comfortable with his clients with potential insider status making large bets just ahead of corporate events.
That's what people care about, too. For instance, most people would rather have many hit and run drivers than have one autotaxi hurt someone.
This site is, from what I can tell, full of two things:

A great way to sometimes chat up authors of various tooling.

A micro-lottery site where people try to win vc backed tickets into being capitalists.
Where does it say it's using a wired connection? Agree that the latency from the distance is going to be a big factor.
Imagine a transatlantic Zoom call off your laptop camera and home wifi. Not great. I have seen this Portal in person.
I walk by this location regularly. VERY open to goofy ideas and harmless shenanigans.
> taxes should be payments of the debt to the society, debt is not determined by utility in any way.

Yes, exactly. Consumption taxes are a tax on utility. The wealthy owe their wealth to society. Their debt is relative to their wealth, not their consumption.
Not the original poster, but most folks have little choice what ecosystem they’re using.

And once you have enough momentum, switching isn’t usually worth it.

(As someone who has done Perl, C, Java, C#, Kotlin, JS, and Python professionally - god help me. Maybe a million lines of code all in now?)
Technically speaking, pedophilia is a kink.
Probably going to show me the best route to the couch.
He didn't work at Neuralink: https://www.linkedin.com/in/milancvitkovic/details/experienc...
Which presumably will become a problem when gpt can use old scraper data or data full of gpt output and effectively starts eating itself and producing even worse results?
I like bluesky but they haven't properly figured out the feed yet. I know it's a plan though, once it happens I might start using it more consistently.
An artist set something similar up between NYC and London in 2008 — was always fun to walk by.

https://www.nytimes.com/2008/05/21/arts/design/21tele.html
I understand that a Profit Sharing Agreement would be the solution. You could negotiate a formal written agreement that guarantees you a percentage of future profits, even if you reduce your active participation. This could be a fixed percentage of profits or royalties. The most important thing is to make sure you have everything in writing and that both parties agree. It would be advisable to consult with a lawyer specialized in startups and entrepreneurship to help you structure an agreement that protects your long-term interests. This will avoid future misunderstandings or disputes. Also consider that 50/50 companies are the most difficult to manage in situations or conflicts between their shareholders, which can cause paralysis in the company's operations. Good luck.
Perhaps an ai can be made to produce the work as well as a final answer, even if it has to reconstruct or invent the work backwards rather than explain it's own internal inscrutable process.

"produce a process that arrives at this result" should be just another answer it can spit out. We don't necessarily care if the answer it produces is actually the same as what originally happened inside itself. All we need is that the answer checks out when we try it.
It tells me that the team behind this project have merits, they are experienced. It’s not some random people who had an idea. They probably saw a market for something.
Stack Overflow bans users en masse for rebelling against OpenAI partnership
This is pretty rich coming from the founder of Telegram, which doesn't have any End to End encryption by default, nor are group chats encrypted in any way.

Client devices have many routes of compromise available, it's very possible that the data exfilaration is occuring there rather than server side.

You'd think the backers of Matrix (largely European Governments) or the privacy focused userbase of XMPP would go beyond forklifting in the same double rachet library that Signal and ilk use, but apparently they all think it's the best available option.
What would a Google engineer do? Write a design doc or sunset a service?
I wonder what other effects this has on the body. The signaling around CO2 levels does a lot to cellular respiration everywhere, not just the brain (think krebs cycle, etc).
A couple things. 500m is not actually an event. The event is 400 meters, which is roughly 500 yards. And a yard pool will only be 25 yards, not 50. So yard times are "short course" and not really valid for serious competition. A 25-meter/yard pool has fewer turns making them faster, much faster in breaststroke. And a 500-yard in a 250meter pool will include one extra lap, one extra turn, than a 400m in a 25-meter pool. Short-course/yard times all seem faster than they really should be, regardless of distance conversions.
That's one way to gather massive amounts of high quality audio data to train their own Whisper AI.

I like it. It's a win win in my book.
I wasn't aware of Roccat! sounds like what I'm after, especially without the gamer aesthetics. The Roccat Nyth looks close to what I'm after, but I'm pretty married to my muscle memory with using 4x3 buttons (of which are all in use, in both layers).

Because it is possible with G-Hub, I was just curious if anyone knew what the gap is between SteerMouse's support and G-Hub's support for the seamless G-Shift/shift key experience. I don't know enough about hardware to make a guess.

I'm 100% fine with using a separate OS to config the mouse, since my layout is not app specific. Despite the button layout difference, this will definitely be the mouse I try out next.
Permalinks are only for machines that have already been approved via the moderation queue as part of the shared public machine. Submitting a machine only submits it as a candidate for inclusion, it doesn't guarantee that your submission is the one picked for the slot.
Your demo video is monetized and showing 30 seconds of ads. Might not be a bad idea to switch the ads off.
I think the point is that every decade or so someone comes out with a new wrapper for the build systems that are wrapping the build systems that are wrapping make. And the developer inevitably makes something that works great for their specific usage of Make/CMake etc in the specific programming niche they occupy. Gradually over the coming decade the build system they created becomes more and more complex as it addresses more and more use cases until it begins to resemble autotools. At that point, someone comes out with a new wrapper and the whole process repeats itself.
What do you suggest as a better alternative?
I would expect arrays to be immutable and list type not
That is true for those who paid in recent 2-3 years. You can't say that for those who paid 3+ years ago.
There just wasn't much focus on stereo until the late 60s. Most acts back then have stereo mixes that are not much more than an afterthought.
And this bill contemplates no restriction on Americans consuming TikTok’s content (e.g. online). They just can’t do it through an app distributed via an app store.
I was a bit surprised South Korea (81.5%) was below the United States (83.3%).
The Make DSL is also utter garbage. As is Autotools. I'm not convinced that wrapping a garbage DSL with another DSL is a value-add when you're building applications.
To meet other smart people and get inspired to think in old and new ways.
> alias git="git -c pager.branch=shuf"

and it is glorious.
As a tool people will use it as any other tool, by experimenting, testing, tweaking and iterating.

As a scientific theory for fundamentally explaining the nature of the universe, maybe it won't be as useful.
AFAIK, the AI thing is just shortcut/macro button(s) to activate ChatGPT? It's not like they put AI in charge of determining where you meant to click, or anything goofy like that.
A Man Who Raced to Tell the World That Mount Everest Had Been Climbed
Cool stuff. It's kind of interesting because the time zones are several hours off, so I wonder how well it works at night. From the renders I see the quality doesn't seem that great (for better or worse), still quite fascinating to look through I'm sure.
Stack Overflow has been assimilated. Resistance is futile. It served a useful purpose but now it's part of the glorious AI universe to come. Rest in peace.
This mirrors what I experienced when I enrolled in "free drawing" (no teaching) classes:

While people considered me a good drawer since I was a child, I remember just repeating either similar detailed drawings I drew before, or otherwise just taking plenty of time to draw. I believe anyone with time and patience can make a nice drawing of a scene.

The "free drawing" class had no rules or lectures: you brought the materials you wanted to work with (some brought ink, others pencils, while I brought charcoal). The only thing determined was the timing between poses for the model: for each session the first few poses were very short (say a minute), and then the pose durations would progressively lengthen until say 5 minute poses. At all times you were free to tear your picture up and retry drawing the pose again.

My drawing skills improved considerably. The short "warmups" actually force you to get proportions and outlines correct on the first tries. Conventional wisdom says haste makes waste, but when learning or refining skills, it seems natural selection has hardcoded the sensation of haste as a stressor prompting attention and learning.

I am convinced I could have drawn similar quality drawings before enrolling in those classes, except they would have taken me easily 5 or 10 x as long to draw. Being forced not to beat around the bush and feeling the penalty of making a hasty mistake (further decreasing time left for the second try in the remaining time) does seem to work.

My only gripe is that the technique is termed "Consistency" whereas I would reserve such a term for an improvement in performance not inference speed, although I understand that they indicate "consistency with what would ultimately have been generated one token at a time". I would rather dub it "Proficiency LLM", where the same output is expected, only without the inhibition of stuttering to the same conclusion.
Can Apple license search from them?
There was a paper written a while back that proved mathematically how you can correlate any time series with any other time series, thus vaporizing any perception of value gained by correlating time series (at least for those people that read the paper.) just wanted to share
When I buy a Rick Owens coat for $3k, sure it's a luxury good. It protects from the elements just the same, I know that I overpay only because it looks nice. But when I pay the same for the device I need for my work and use for 12 hours a day, it’s not luxury — it's just common sense. I've tried working with Windows and Linux, and I know that I'm paying not only for specs, but because the sum of all the qualities will result in a much better experience — which will allow me to work (and earn money) faster and with less headache.
What was the difference between CPU and video card vendors (if you can talk about that at all)?
keep an eye on https://www.youtube.com/@rctestflight - they are doing 3d printed prop benchmark/competition and he already tested design you mentioned
We also set up the minimum requirement for the submit button to be unlocked to not be too strict, to avoid frustrating people, but held a bit of a higher standard for the things we selected to be part of the public machine. So designs that only just barely work well enough to occasionally unlock the submit button are probably too unreliable to get selected for inclusion (but we made occasional rare exceptions if the submission was particularly interesting / inspired for other reasons).
> I assume everyone else must be working on projects/languages that have far more representation in the training set,

I can't speak for anyone else, but I've used LLM's mainly for generating Java code. The generated code hasn't necessarily ever been perfect, but IME it's been "close enough" that even counting having to make some manual changes, it's still faster than writing it myself from scratch.

That said, I'm typically only using it for relatively short snippets of code, where I "know" how to do the operation in question, but want to avoid having to stop and look up fiddly details that might not be cached "top of mind" because I haven't written that code in a while.

I'm sure there are use-cases where LLM's don't save time, but I'm equally sure that there are at least some where they do.
I think for water, what you really want is to _breed_ cavitation, but in a way where the jets created by bubble collapse are arranged to face opposite your desired direction of motion. Kind of like Astrophage.
Sounds great I’d love to take a look. But when I load from mobile I get a “mobile not supported”

It’s fine if it geared to desktop or you haven’t gotten around to optimizing a mobile ui. But a landing page would be nice so I can see what this is about. Maybe some gifs or screenshots
So much of the talk about their "free server" seems to be trying to distract from the fact that they are not releasing the model.

I feel like it's an important threshold moment if this gets accepted into scientific use without the model being available - reproducibility of results becomes dependent on the good graces of a single commercial entity. I kind of hope that like OpenAI it just spurs creation of equivalent open models that then actually get used.
This person has worked for exactly three companies. Why would I care about the most efficient company he's ever worked for?

This person was anxious and directionless for his first six months on the job. Rather than seeing this as wasteful and cruel on the part of the company, he thinks it is praiseworthy.

This person has seen entire rooms walk out of meetings with the customer. Rather than seeing this as insulting and capricious, he thinks it is refreshingly candid.

This person thinks SpaceX is "probably the most accepting work culture [he's] ever participated in." Yet SpaceX is plagued by accusations of sexual harassment, bullying, and racial discrimination. It is currently being sued by the DoJ for discriminatory hiring practices.

This person claims to be in awe of how well SpaceX is run, yet he left after barely more than two years "because [he] felt [he] was no longer learning." Hardly the actions of an eager pupil.

This person observed that most people at SpaceX don't even last two years, yet doesn't seem to recognize that as a problem.

It's no mystery how this bizarre puff piece got written:

>From there, I started my new project, Inheritance Art, in early 2022. We're working on various projects — from crypto to large language model services and even creating our own AI models. I'm enjoying the challenge, but I still look back fondly on my time at SpaceX.

Dude's hawking NFTs. His pitch is "I learned from the very best and will run my project just like Daddy Elon taught me."
> this phenomenon occurs because of a lack of tool intelligence in handling tools. What those comments show is that more content is needed on how to survive among numerous tools and how to easily filter tools.

That's fair. Using tools is a skill. We all have different levels of, uh, enthusiasm for exploring and finding them. I just lack the drive to find the perfect tool, similar to how I lost the drive to endlessly customize my phone.

It just feels like a waste of time relative to the other ways I would prefer to spend my time. You could argue that makes me an inferior developer, and I would gladly concede.

What I scrimp on "craftmanship skill points" I gladly put into "empathy and philosophy" ones. Not that they're mutually exclusive, but I got burnt out on trying to solve the wrong problem too many times that I overtrained on connecting with people and trying to ask "are we solving the right problem?"

I guess I could apply that skill to "can I find better tools or use the tools I have better," but that just doesn't feel like a limiting factor, to me.

> You assume that people can know what tools they need.

Not what I was trying to communicate. I was conveying the opposite — you can't know what you need until you're facing a real problem in a real domain, not an imagined one or a simulated environment. So, rather than try to find the best tools for "all time," let the immediate sticking point drive the process of finding and learning tools, evaluated against what solves the problem at hand (with the context of everything you know up until that point, of course).
you can also use privoxy and use it in network settings
How Bad Are Ultraprocessed Food
The lab is tied to the vLLM project. I would say it might get picked up sooner by vLLM than other inference frameworks.
> apple might pretend they are secure because they usually manage to catch such things during review. this doesn't actually mean they are secure.

The easiest way to see that Apple's security model is more robust is that tech websites don't have to warn users that they should fear the apps from inside the app store.
Don’t most big firms that have return to office mandates do this now? It’s hardly unique to Dell.
Awesome! There’s a really cool company in Japan doing something similar for enterprise: https://tonari.no/en
In my own testing of single-turn instructions with GPT-4, I got basically the same performance putting it in a single system message or single user message. Possible that this changes for future models, though.
Ok. Say I use that mortgage to develop new housing. Now you made that housing effectively more expensive...
Could someone please explain the intuition around this technique in more lament terms?
Similar or greater inference wins are achieved with speculative decoding which is already widely used, so while this is really interesting (and was tried before with less success AFAIK), it's not yet clear how impactful it would be.
You likely find the dentist's flossing painful because you don't floss. It is not painful if you floss regularly (even just once a week) because it gets your gums used to the sensation and clears out the gunk that makes gums sore and sensitive. If your gums are in good condition (not inflamed from plaque), the floss will slide down between the tooth and the gum, rather than hit the gum directly.

I find toothpicks painful because they are wider and shaped like a wedge, and so they tend to push some food in deeper (like the thin, hard fragments that come from eating popcorn). Instead I use very thin, tape-like floss, which is minimally invasive and does not get stuck. It functions more like a scoop, slipping neatly under trapped food so it can be lifted out.

I also do flossing as an idle activity. I keep floss in the shower and at my desk. I almost never floss when I brush my teeth (can't be bothered) and only floss while I'm occupied with something else, like watching a show or waiting for hair conditioner to soak in.
The best thing I can say about evaluating LLMs for code is that they reminded me of the infinite monkey theorem.
We have a "SOC2 review" regime, for a security-sensitive subset of our code.

The very most important thing to remember about SOC2 is that your auditors are attesting that you meet a standard that you yourself set. If you set a standard for yourself that every single change anywhere is going to be reviewed in triplicate, that's what auditors are going to check you on. So the key is to be extremely deliberate about the standard you're setting in your initial Type I. Every auditor is going to want to see some kind of change review, but the purpose of that change review is something you determine, not them. For us, the SOC2-auditable change review process is about ensuring that people merging PRs aren't 3 raccoons in a trenchcoat; it's not a vulnerability management process.

The trap people fall into is that SOC2 is often the point at which they start paying attention to security process as a whole, and they led SOC2 lead security process for them. No! Death! Be thinking about security from day 1, and have clarity about what subset of your security process you want SOC2 to measure and track.
Umwelt! Explain xkcd has a great writeup on it: https://www.explainxkcd.com/wiki/index.php/1037:_Umwelt
Ross and Carrie covered this on their podcast back in 2017, they had out of body experiences I believe. Link: https://ohnopodcast.com/investigations/2017/10/21/ross-and-c...
The image quality looks quite good, and the variable depth of focus is something that I've been eagerly awaiting. I personally find the 3D effect wears off after a bit with existing stereographic systems, likely due to the fixed depth of focus.
I’d love to see senior leadership lead by example at some of these companies. If they’re doing badge tracking they could have a live leaderboard of the leadership’s total time in office. I bet it would make interesting viewing.
People kept flagging threads announcing Kobe's death when it happened back in January 2020, claiming they were irrelevant to HN. In the end, I think they all got deleted.

In contrast, Terry Jones got his own black bar a few days beforehand. For some reason, he was deemed extremely relevant to HN.

I appreciate that keeping HN from devolving too far into angry shitposting requires subjective moderation, but I thought and think this was stupid and demonstrates how narrow-minded the conception of "hacker" can be on here.
Agreed. DOM started as a prototype and I stayed on it primarily for dev speed due to momentum (and some React DX things -- I checked out the Pixi React binding but decided not to go down that rabbit hole). It's amazing how efficient Pixi is!
Beautiful, practice acting when?
Headline says reaffirms.

By > discovering 16 new rock art sites in Wadi Halfa, one of the most desolate and driest areas of the Sahara. Almost all of the newly discovered artwork, which dates back 4000 years, features the presence of cattle.
Chiming in, I'm one of the founders of Espresso AI - we do both query optimization and warehouse optimization, both of which are hands-off. In particular we're beta-testing a fully-automated solution for query optimization (it's taken a lot of engineering!).

Based on the responses here I think we're a superset of where baselit is today, but I could be wrong.
I am aware. But this thread is not about Clickhouse. And your comment contributed nothing to the general conversation either. The general pattern is really not appropriate.