skysight-inc/HackerNews huggingface dataset:
Hello fellow hackers,

I’ve been lurking around this forum for a while, and I thought I would submit one of my personal tools I made a while ago.

It’s basically a tool that allows you to automatically configure and create docker containers for passive earning.

I made it in Go, due to its runtime being painless to be carried around (looking at you libc). It has a nice TUI too.

I’d like to know what you guys think about it, and what would you improve or add.
As another commenter said, it’s difficult to compare “Agile in spirit”, but I’ve found that remarkably successful

Evolving the methodology to suit the team, product, and company in an additive way seems the best outcome I’ve seen.

Rarely will I have daily meetings, we can slack. Maybe twice a week hop on a call.

For story points I’ve seen models of using Fibonacci sequence, having 4 categories rated which then convert to points, or even (less desirable) 1:1 mapping to days of work. Personally I like the 4 categories approach, it feels less subjective as a whole despite each category being subjective to a degree

And in the end, if process gets in the way of productivity, I say go for it, we’ll either go back and document what happened or refine the process later (though rarely if ever have we skipped QA for good reason)
All they need to do to make Windows great is strip all of the crap nobody asked for. There's an insane amount of anti-patterns that are sketchy.
The texas power grid is amazing just as long as its not cold, hot or windy outside.
Hell, .net is basically loss leader at this point (significant offloading to bunch of volunteers) and that is their ramp to Azure spending.
This is a good talk about the problem: https://youtu.be/hGXhFa3gzBs?si=15IJsTQLsyDvBFnr

Key takeaway, LLMs are abysmal at planning and reasoning. You can give them the rules of planning task and ask them for a result but, in large part, the correctness of their logic (when it occurs) depends upon additional semantic information rather then just the abstract rules. They showed this by mapping nouns to a completely different domain in rule and input description for a task. After those simple substitutions, performance fell apart. Current LLMs are mostly pattern matchers with bounded generalization ability.
Acrobat Reader is not an Electron app.

It is using Chromium Embedded Framework, so it's not using native UI. But it also isn't Electron.

I don't see any Node.js anywhere in Acrobat Reader.
I think the hate stems from so many people working in environments where either the company has bureaucratized their nominally agile process to the point of absurdity or just having superiors that are in over their head, which makes any kind of methodology a farce; bad leadership can only be mitigated so far by processes, especially of someone has to take responsibility for said processes and that often by default is the mentioned in-over-their-head superior.
Crucial words omitted in the headline: the cost of creating content is close to zero.

Which is incredibly aggravating. He knows perfectly well that some songs sell better than others, and they are rarely the ones generated on the cheap. You can get vast amounts of generic "content" for near-free. Nobody wants it because it's not any good.

As the artists are fond of saying, "The time it took to create that painting was ten minutes plus forty years". Musicians practice for years before creating great songs.

If he's got a tool for finding gems among the vast amount of dross, fantastic, sell the hell out of that. But right now the art (of all kinds) that sells is the kind where somebody cares a lot and pushed like crazy to get it out there.
==It might be the case that, in general, people can never consider the downsides without leaving the rules in place forever. ==

This assumes that the rules created themselves out of thin air and we never lived without them. In most cases, existing rules/regulations were created in response to events that proved their necessity.
An Olympic-sized aboveground pool. There's an accomplishment.
The source data being unavailable is the problem. These platforms practice low transparency to hide their political biases and censorship.
The studio actually looks pretty impressive. I think you’re constraining your marketing too much. Seems useful not just as “romantic comics for women” but a general art tool.
LLMs operate on word co-occurances. Given an initial prompt (consisting of words), it tries to predict the most likely next word. And then it goes on to predict the next most likely word based on the previous output. There is also a bit of randomization involved, so that it doesn't always produce the same results. Some people call these LLMs "statistical parrots", because the LLMs simply repeat the word combinations that they were trained with. But despite this very simple approach, we get very convincing outputs for things that do not require reasoning. LLMs might have encountered examples of logical reasoning in their training data, but they can't generalize it to arbitrary logical reasoning, because that's not something they are designed to do.

Disclaimer: I'm not an expert in AI and I do not follow the developments on a deep technical level.
I wonder what red tape we're talking about. SEC regulates disclosures, but pretty sure NYSE and Nasdaq decide when to allow trading, halt trading, APIs, what gets listed, and more, and after you spend time in crypto on-chain trading, it all looks like BS. You wonder... Why can't I buy 24/7? What do you mean GME trading was halted 6 times today? I can't get out of a position because the market is limit down? I can't transparently see who is buying what and when in real-time? I can't earn multiple % per day providing liquidity? Just to name a few. I don't want any of this so-called protection. But my sense is it's going to be irrelevant soon anyway as stocks and commodities get bridged as on-chain tokens. Maybe there's still room for a more centralized exchange that's good for HFT since global blockchain networks will take hundreds of ms of latency to settle, but I don't know. On-chain trading on Solana is pretty great today and liquidity will pool together.

PS: There are so many shitty comments in this thread adding nothing of value. So you don't like Texas and have different political views. Fuck off. Some of us actually want to discuss this.
I thought for sure way back when the original Xbox came out that they were playing the really long game (no pun intended) to get a foothold and conquer the living room. After nearly 25 years I don't see that happening and it seems like they are going to end up going the Sega route and just develop software.
I understand the appeal certainly, but unfortunately in practice it is real case of sausage making. Where at best the reason for clause X,Y, or Z was 'so it would get passed even though it is utterly irrelevant' at best or at worst 'cynically exploiting a moral panic or corruption'.
Not sure why this is relevant. Apple's forte was always the hardware (and lately the greater focus on privacy). And you could easily say the same about Microsoft:

search? someone else

maps? someone else

video? someone else

audio? someone else

Arguably Apple is at least better positioned than MS for some of these because people actually use Apple Maps and Apple Music. When was the last time someone whipped out Bing Maps?
This is laughably paranoid. I bet you’re great with the ladies.
> One standout statistic was that projects with clear requirements documented before development started were 97 percent more likely to succeed.

Having worked with both this approach and agile, I'm not surprised by these results. However, I will also say that writing clear requirements is easier said than done - when those requirements are vague or of even mediocre quality it can very easily send a project off-course immediately.

Part of this stems from, in my view, a lack of accountability when it comes to waterfall approaches. If the BAs responsible for drawing up the requirements burn through time and budget that ultimately gets felt by the development team. It requires Engineering Managers to carefully vet those requirements to ensure they're appropriate start work, which results in a tremendous amount of back-and-forth.
I was at a recruiting tech conference where a HR person from Boeing was talking about their impending age-out problem. Their average employee age was close to retirement.
So between these two comments:

> There absolutely is for anyone who cares to use it

> Sysadmins are also people.

is it your contention that the sysadmins at those organizations don't care about computer security? Or that users are responsible for knowing whether their organizations' sysadmins care about computer security?
If I could be short Microsoft's OS business while still being long their cloud provider business and their investment in OpenAI I would.
What was the config? It should never override explicit configuration...
Both of those events were due to localized weather events that destroyed local power infrastructure (specifically, storms that destroyed overhead power lines). These are things that have not to do with federal regulations, which is the topic of this thread.

And yes, other states have this problem as well. See https://poweroutage.us/about/majorevents.
Agile in itself is not a development methodology - it's a communication one. A small team working on a stealth R&D project, where everyone is same rank and in the same boat, would be suicidal to use Agile. This is what Kanban is for.

Agile is an overhead. It doesn't make things faster, or more efficient, quite the opposite. It's there to avoid arbitrary deadlines coming from the management and developers not working on an island, with no visibility. That's a recipe for some nasty surprises. "But we thought you were working on THAT and it would be ready NOW!"
Apple doesn't have as much of an advantage as it appears. Their Neural Engine are fast and getting better, but modern machine learning models need another resource: fast RAM. Unfortunately for Apple, their whole product stack is segmented based on RAM. There are millions and millions of Apple devices with lightning-fast processors and 8GB or even 4GB RAM. These won't be able to do anything like Copilot+, unless they make calls to a datacenter like Microsoft is doing.

Their existing local models are hit-or-miss already. FaceTime's audio transcription is laughable. Whether this is due to memory requirements, I don't know, but it doesn't bode well for further models.
> You are completely able to get a stable rate for power in Texas. No one is forced to choose a rate that can spike to $7/kWh.

Yes, everything is fine if you have money and can choose. Other states explicitly ban these types of pricing models because they are predatory and can result in the people who are most price sensitive ending up in financial ruin.

I have no doubt that ERCOT has some good people working there. At the macro level however Texas makes isolationist decisions like not engaging in interstate energy sales agreements because they would subject the energy industry in the state to more federal regulation.

You might be interested in reading the final report of the 2011 incident, where ERCOT agreed that having appropriate capacity to the Eastern and Western interconnects would have mitigated most of the problems. https://www.ferc.gov/sites/default/files/2020-05/Reportonthe...
Yea. I do Fractional CTO consulting and usually have good results with developers because I focus heavily on removing bottlenecks, unhelpful processes and meetings, etc.

The challenge is always when you run into sacred cows from other levels of management.

- Hard deadlines while acknowledging we don't have enough information to commit to those deadlines

- Story points as a measure of time

- Absolutely overloaded teams being asked to deliver new features without being given time to improve underlying issues in the system...and then having to constantly stop what they are working on to deal with production issues caused by those underlying problems.

It's like clockwork sometimes and the conversations are always hard.
Interesting that Boeing acquired a failing company, and someone(s) thought using the failing company's management team was a good idea.

Long ago I worked at a company that was acquired by a competitor. Our management team was a clown show. We had some strong competitive advantages product wise, but our company's management team had no clue what they were doing. They were busy renaming departments and sending company wide emails about the process and how many hours HR spent deciding what to rename HR.... it was like they were trying to make a joke, but they were serious.

After acquiring us the acquiring company CEO drew a line and anyone at our company who didn't have direct reports who did a thing (not another manager) were laid off (a few engineering and support exceptions).

He later visited our location and bluntly noted "You guys should have beaten us. You were two years ahead of us with some of your tech, but the management team was so bad you didn't have a chance. I didn't want any of them infecting our company." CEO won a lot of fans that day. Lots of folks hoping to get laid off / severance were suddenly relived and happy to stay.
I believe what GP is referring to is the Air Force National Guardsman who's going to jail for leaking classified intelligence on a discord server to prove he was right. I don't think it was actually about tanks, just that it happened in a WarFrame discord (or something like that).
Sarcasm does always, without exception, sabotage a factual discussion into confusion about what people are actually saying (because that remains unclear even when you fully recognize the sarcasm).
> Apple has a huge advantage because they get to pay nothing for a superior compute infrastructure that comes with a better privacy and latency story.

Right now, AI is a pay-$B-to-play and you need the massive datacenter compute for training and skilled researchers to develop. Apple silicon is neat, but let's not pretend like they have any credible story to tell about AI, and their recent deal with OpenAI suggests that they've been forced to punt.

> As soon as they release something, it's going to be good, and it's going to be free, because it runs fast on consumer hardware and consumer electricity.

Apple recently released their first public LLM, OpenELM. The largest released model is OpenELM-3B. The Instruct version of this model scores a 24.8 on the MMLU benchmark, which is a pick-one-of-four multiple choice test.

Apple's biggest and best model somehow manages to get less than 25% on a 4 option multiple choice exam. For reference, MS released a similar size model Phi3-mini-4k which scored a 69 on that same exam.

Yes, Apple has some nice local hardware to run models, but they don't have the models. They don't have the models because they don't have the people and they don't have the compute.
Several years after a project completes when the system is finally sort of working and the end users know what to expect new management will come in at a high enough level and demand everything be rebuilt using their tech stack of choice because they need the resume entries.

Then of course you'll get a buggy second system that is back at square 0 which the business doesn't understand/hates and the developers hate because they're constantly fighting fires.
somebody's got to give the MBAs their ideas.
Solana’s Firedancer client with Kevin Bowers [video]
Ok I changed my mind it’s not Russian propaganda lol
No, my bad. When you said "10B to 40B of compute", I read that as "growing from 10B to 40B of compute", that is, a 4X increase. I failed to understand it as "growing by 81X from current compute, which would put you at about 10B to 40B".

I don't know what current GPT-4 compute is. I don't know if your assumption is correct, but I certainly do not know that it is wrong.
NVIDIA has fundamental hardware and software advantages that will take years and years to catch up on. The general purpose part of GPGPU is no joke, just ask the people trying to build competing hardware and an alternative to the CUDA stack. But...

NVIDIA is massively investing in AI companies with the expectation (explicit or otherwise) that they use the money on NVIDIA hardware. And they are pouring in ridiculous amounts of money. I think this is severely impacting the ecosystem, creating overvalued and overfunded AI startups that lack viable businesses and driving essentially fake revenue to NVIDIA that is unsustainable. The money is basically free for NVIDIA to spend, maybe even net positive between revenue numbers and progress towards monopolizing the AI stack. Time will tell if the bubble will pop or if one of the plays will hit and turn a fake flywheel into a real one, but I definitely agree that the stock valuations are too high.
>"Alice has 5 sisters and 3 bothers. How many sister's does Alice's bother have?"

To be fair -- you wrote "bother" twice, and "sister's" with an apostrophe. Technically the question makes no sense like that.
Gotta buy some guys out and bring up some fresh faces in those cases I think. Can't have everyone go home all at once.

A local school district actually did that when they had a massive glut of older teachers. They offered buyouts to get a % of new younger teachers in the door so that it wasn't just one huge wave of new people just trying to get their footing all at once.
Big A, small a.

Agile — scrums, scrum masters, epics, stories

agile — http://agilemanifesto.org/principles.html

Agile is a bunch of rules and processes to follow.

agile is an ideal to strive towards, and never perfectly reach.

—-

Edit — this bit from the article is probably the important line

> However, while the Agile Manifesto might have its problems, those stem more from its implementation rather than the principles themselves.

Agile is not the same as agile.

At least in this humble dev’s mostly irrelevant opinion.
As a long time mac user I have zero utilities installed. If you want to turn your mac into windows, maybe just use windows.
Buenos Aires has 3.1M people and 4000 homeless. LA has 3.9M people and 48000 homeless.

The rise in homelessness in Buenos Aires from 3500 to 4000 is not great at all.
Would be awesome to have nuclear power stations dedicated to powering these data centers for inferencing.

I believe Amazon just purchased a nuclear power plant in Pennsylvania for this.
Thanks for the helpful tips. Tangential but is there any free way to change the scroll direction of trackpad and mouse independently and to disable scroll acceleration? I have tried Mac Mouse Fix but it is not free.
> people absolutely do want this - normal people like computing to be simpler.

Of course I want this. I just want to have it myself. Like for the assistant and its data to be truly mine. I don't want Microsoft to run it for me. I don't mind paying for someone to build it but not to operate it. Especially not Microsoft. They're as bad as Google.

I work with Microsoft people daily and they're so brainwashed. They think their company is beyond any reproach, that the products are the best in the market, that using them is a win for us etc.

I hate them and their company with a passion but unfortunately our leadership is easily impressed and not too smart. They just hobble along with whatever Gartner is paid to tell them.
You forgot iOS. App APIs are also network effect things.
The Model Openness Framework: Reproducibility, Transparency, and Usability in AI
How would you otherwise protect the people who invest their time and resources into building digital tools and products? Without digital copyright isn't it open season on any digital idea since it can just be stolen?
I was about to comment (as a joke) "it's just a change of basis, what's so hard to understand"

It's the signals & systems version of "monoid in the category of endofunctors"
It had more than one failure. Just this century, winter weather caused issues in 2003, 2006, 2008, 2010, 2011 and 2021
> Right, expectation is the standard. The standard is that anyone who is an agent of the entity you have entrusted is also considered trustworthy.

To clarify, I am the second person here telling you that that is not the expectation. The expectation, and/or the right thing to do, and/or "the standard we expect them to meet", is that Google follows the standard security principle of least privileged access, meaning each employee can only access data they need to see, with proper permission acquired beforehand, auditing during, and abuse-detection & alerting afterwards.

Unfortunately, they don't meet this expectation that we have of them. Your own expectations and/or standards might be lower, like you described.
New option needed besides concise. Think quietly on your own, then answer concisely.

Sometimes I think I'd prefer it to "think" before answering anyhow. The immediate thinking out loud text can be irritating for some irrational reason.
At this rate HN will be blaming sunspots, cicadas, and the score of the next game on the BA-MDC merger.
Terrible headline. They lost a single infringement case they brought, not the trademark.
> the number of divisors will differ in non-primes

Could you please present an example of this?
From the title, I thought Charlie would be in full rant mode, but this is middle of the road for him. Windows enshittification continues, and will continue, for sure.

But, he’s absolutely wrong that most people care about whether Recall stores things or not. They really really want what Copilot offers (note I didn’t say delivers, yet), which is labor saving on their knowledge work. My kids use a version of Recall on Mac for classroom lecture notes, and .. they find it helpful. People who have a job of making PowerPoints based on information from emails are going to find Copilot helpful.

These are the people OpenAI believes won’t have jobs eventually, because this sort of work is going from ‘needs human with college degree’ to ‘automatable’ very rapidly.

Charlie doesn’t offer any alternative architectures for this in his post, and that’s because there aren’t really any — MS delivered a locally encrypted database with RAG, and that’s … as good as it gets for this feature set right now. If nobody wants it, it will die. But, a lot of people want it, because they believe they’ll keep their jobs and get to be more productive in the meantime.
Yep. And my favorite is when developers spend far too much time discussing the story point estimate, having long discussions about why something is higher or lower...and then not writing any of it down other than "3" or "5".
I find it amazing that this is treated as such a trivial achievement, with an attitude as if any one of us could have done this. Now back to our regularly scheduled social media apps.
what you says makes sense, but i still doubt how far can it go with user interactive data. because in a typical conversation between user & LLM, most part of the text is generated by LLM itself.i think the only thing most users usually do is and might always be just inputting the starting question, which might not be very nutritious for LLM to learns anything new, since it's not a feedback. Corporate data might be something, but the data from research, books, blogs are just too tiny to push the wheels, not to mention that bunch of these are definitely gonna be AIGC in the future.
> As soon as they release something, it's going to be good

Huh?

How is that a given?