skysight-inc/HackerNews huggingface dataset:
There's actually a pretty simple solution to this that I thought about testing out and it involves asking the model to re-construct the problem using a logic language (like Prolog) and asking it to execute this type of program in order to come up with a solution rather than attempting simple chain-of-reason training / other methodologies of getting the model to 'reason' through some of these examples. People forget that humans don't come up with their logical models out of the blue - it takes years of elementary school in order for us to understand the world and solve problems in it. The logic programming approach I'd say is really promising but you would need to feed the LLM a LOT of examples in order for it to work, and currently I'm not even sure that we have enough training data in order to implement something like this.
"Agile" and "failure rates" don't have strict, universally accepted definitions, so any study (even if definitions are described) is essentially meaningless.
How Image Resolution Has Degraded the Cinematic Experience
The False Minishiro[0] was built over a thousand years ago to protect the libraries of mankind, but the rat armies of today learned to override its authentication mechanisms[1] and used its forbidden knowledge to arm themselves and stage a coup to overthrow their human gods.

0: a type of evolved sea-slug

1: by capturing it and torturing it
It's going to only be stored on your phone. Any sync is going to be encrypted with per device keys.

Google is tired of giving the cops your location. For once they are doing a good thing.
> I have always loved Lisp but practically its not easy to hire for or find a job for.

No one ever got paid for using Emacs and writing Elisp (except for that single Kickstarter campaign for Magit). You can get paid to write in different languages while still hacking on Lisp dialects for your own satisfaction.

Need to configure a Lua-compatible window manager? Fennel is a great choice. Trying to scrape pages from a website? You can start a Clojurescript REPL and interactively identify elements on the page, "click" on them, "fill out the forms", and finally build a concurrent, async pipeline to sift through hundreds of pages and their content. Need to explore an API? Instead of dealing with JSON directly, you can use Babashka and, interactively, examine the results — slice, dice, group, sort, and filter through them in a way that would be extremely difficult with tools like awk, jq, and others.

Everyone may have their own distinct idea of what defines a "hacker's dream," and often developers gravitate towards tools they find comfortable, often falling into the "everything is a nail" trap. The idea of Lisp, however, with some practice, feels more like a factory for making your own hammers rather than a concrete hammer on its own.
Bre-X was actually dual listed on the TSX(in Toronto) and the Nasdaq in the US, not the junior venture exchange.

But, agreed, that stock was a wild ride while it lasted!!
A couple of notes here. Overall I agree with the point being made but there are a few misunderstandings in this post.

> Microsoft don't want to be entirely dependent on Intel, especially as Intel's share of the global microprocessor market is rapidly shrinking,

He says Intel, but means amd64 architecture - Intel isn't the only or even the dominant consumer computer processor manufacturer these days, especially for desktops/laptops.

> Recall takes snapshots of all the windows on a Windows computer's screen (except the DRM'd media, because the MPAA must have their kilo of flesh) and saves them locally.

I wonder if I could cause Recall not to work by just playing some DRM'd content half-transparent over whatever I was doing...

> Now, "unencrypted" is relative; the database is stored on a filesystem which should be encrypted using Microsoft's BitLocker.

If you have that enabled, which most people don't.

> Worse: even if you don't use Recall, if you send an email or instant message to someone else who does then it will be OCRd and indexed via Recall: and preserved for posterity.

I don't see this as a problem; there's nothing stopping anybody you send anything to from taking a copy of it. You can't take emails or IMs back. It's just dumb.

> Suddenly every PC becomes a target for Discovery during legal proceedings.

This was already true and common.

> Some commentators are snarking that Microsoft really really wants to make 2025 the year of Linux on the Desktop, and it's kind of hard to refute them right now.

Or, people will just keep using Windows 10, which is what >70% of the market is already doing.
Well yeah, consciousness is special. That's not what I said though. I said there's no reason to think the atoms in an animal (which appear to support consciousness) are special as compared to the atoms in a silicon wafer.
I'm getting obvious Z-fighting issues on that.
If people can only ever get into the goldilocks 'not too strict, not too loose zone' 1% of the time, then it the process is by default not fit for purpose in almost any circumstance.

Likely the 1% of the time it works is the rare case that you have a small and exceptional team working together, in which case the project management methodology is unlikely the reason they are working well.
Super helpful workaround for those of us that want to deal with this not right this instant.
This just in: Apple to release a "Big Mac" pre-populated server rack based on their custom silicon, in a bid to compete with IBM mainframes for the "enterprise private cloud" space.
Yeah I don't know what the sell is there... throw away the fidelity of your data when WEMI/FRBR/BIBFRAME/semantic web is coming any ~year~ decade now, soon (lol), while re-learning everything, definitely going out to tender because your current system won't do it and shift your processes and integrations. All so you can end up halfway to DC, yeah no.

The reason libraries don't do cataloguing any longer anywhere near as much hasn't got much to do with MARC 21 being hard.
Ask HN: People who make $10k+/month working on AI tools, what do you do?
We're on our way to hit $10k/mo with our product and I was wondering what problems you guys solve with AI!

Let’s have an open discussion on this topic and share the steps on how you grew !

How do you keep making your users happy at this stage?
We are using AWS ecosystem and found it was cumbersome to do a websocket MVP with lambdas and API Gateway. We'll check cloudflare's implementation.

Front end is not an issue, we need reliability and performance. Using Cloudflare D2 is also appealing.
This prompt was often discussed on forums in the last year, we knew models fail it
Those are the ones I want visible though. The stuff I want to hide is infrequently used things, stuff like icons for passively running background apps, stuff like the JetBrains toolbox updater, zscaler on my work machine, etc.
I think the ruling says that they’re allowed to have a beef with you, but not a poultry.
Telling other people that i make 10k + a month and sell Coaching /s
Steel-manned Deductive Argument

Premise 1: AI (specifically, statistical modeling based on hidden layer neural networks) has been increasingly integrated into various technological products and services.

Premise 2: Major companies like Microsoft, Apple, and Intel are intensifying their efforts in AI development and integration, with Microsoft announcing products like CoPilot+ and Recall.

Premise 3: CoPilot+, which is AI-driven, is built on users’ actual usage data, potentially offering more realistic and user-friendly assistance than previous AI iterations like Microsoft’s Clippy.

Premise 4: Recall, another AI feature by Microsoft, aims to enhance user productivity by automatically capturing and storing screenshots and textual content, but it stores this data unencrypted locally, posing significant privacy risks.

Premise 5: The continuous expansion of AI features in technology products often correlates with increased privacy risks and potential legal issues, as evidenced by the concerns surrounding Recall’s handling of personal data.

Conclusion: The rapid integration of AI into technology products, while intended to enhance functionality and user interaction, simultaneously amplifies privacy and security concerns, necessitating a cautious and regulated approach to AI deployment in consumer technologies.

Possible Fallacies in the Argument

Hasty Generalization: Concluding that all AI integrations pose privacy risks based on specific examples like Microsoft’s Recall might not account for other AI integrations that prioritize security and privacy.

Slippery Slope: The argument implies that increasing AI functionalities will inevitably lead to greater privacy and legal issues, which may not necessarily hold true if appropriate measures are taken.

Appeal to Fear: Highlighting the severe privacy risks and potential legal issues may play on the fears of surveillance and loss of privacy, overshadowing potential benefits of AI.

Biased Sample: The argument focuses mainly on Microsoft’s implementations of AI, which may not represent the broader industry approach to AI integration and its implications.
Solar is growing so fast it jumped 2 percentage points within a single paragraph:

> ... solar power’s 4% share of the electric generation mix.

> Solar power has now grown to account for about 6% of total U.S. electric power generation
The behavior of any bureaucratic organization can best be understood by assuming that it is controlled by a secret cabal of its enemies. -- Robert Conquest's Third Law of Politics

I'm grateful that it's not compulsory for me to financially support this particular bureaucracy.
> I don't think anybody who actually uses LLMs thinks they are general purpose AI.

I would like to believe that but I have had too many conversations with people who basically think it already is. Including in one situation of a fellow engineer.

It feels like more and more "we" are in a bubble of actually having some knowledge of how this works, what the actual limitations are, and what it just is not. While there is in fact criticism of it out there, particularly around AI "art". It doesn't seem to be focused on the area we are talking about.
The thing is that you bought a license for Bartender 5 and up until version 5.0.49 it was shipped by one owner, then from 5.0.52 onwards by a different owner.

Users absolutely have a right to know that the same software they bought is now being packaged by someone else. We're not talking about a different license or version 6 or whatever. Same software, different owner over night.

BTW for people looking, https://www.macbartender.com/Bartender5/release_notes/ still has the old versions up, 5.0.49 is still signed by Surtees Studios Limited
If you're not hacking the process, you're not agile. "We are agile according to this rigidly defined process" is an oxymoron.
Why You'll Pay More and Behave Better When You Travel This Summer
I assume you are working with the AI definition that is along the lines of: "Problems a computer may not be able to solve"?

OCR was absolutely considered AI before we knew how to do it. Now that we understand it, it's just computing, of course. But it still is reasonably considered AI by any other definition of AI.
As a YouTuber and content creator myself, this article rings all too true to me. Lots of good points here for anyone looking to get into this game.

> It’s still a chore!

Yup. People often underestimate the amount of work it takes to run a blog or YouTube channel in general, and how much of that work doesn't involve the content itself. It's no surprise everyone wants to monetise these things; doing them for free can feel like a second unpaid full-time job in of itself.

> There are weirdos on the internet

Unfortunately. Which makes for a deadly combination alongside sudden fame and psychological instability. So much drama can basically be summed up as "assholes discover mentally unstable content creator" or "mentally unstable content creator hits the big time and becomes a worldwide celebrity".

The end result can be an internet car crash that basically destroys any hope of a normal life.

And the more popular you become online, the more likely it is you'll encounter the rare person wanting to make your life a living hell.

> Indifference is the real killer

100%. Being hated sucks, but seeing something you worked so hard on go completely ignored... well, that's arguably even worse. Nothing kills motivation faster than the feeling you're not getting anywhere, and platforms like YouTube and Twitch only rub that aspect in your face even more.

> Follower counts are a lie

Definitely. YouTube is probably the best example, since it seems the majority of users find content via the recommended videos list and home page feed rather than subscriptions now. But just about everywhere is the same, and it only makes it feel worse when only about 1% of your 10,000 followers seem to actually give a toss about your work.

> Money is the root of only some evil

This is an interesting point, though I'm not sure I agree with the example given. Generally I gain followers when I post videos, with the only difference between posting more and less stuff being whether the number grows gradually or slightly more quickly.

Nah, in my opinion, the real root of all evil is that these platforms expect their users to be machines. They expect non stop, consistently posted content on a daily/weekly/hourly basis without fail.

And they also usually don't want you to leave your lane either. If you get popular posting about any one topic (whether a game or series, framework or programming language, sport, band, etc) then they only want you to post about that topic until the day you die.

That's the big problem with content creation and social media right there. And it's the cause of every issue these platforms face.

Why do we get people making meaningless polls about every random topic under the sun? Why has AI generated garbage run rampant? Why is there so much plagiarism from large creators? How have content mills taken over everything?

Because that's how you get things done on the ludicrous schedules expected by these platforms. By giving up your humanity and becoming nothing more than a faceless machine attempting to please the algorithm.
Elon suggested SpaceX is going to have ~5-6 launches of Starship this year. It's interesting where we could expect the next launch, if everything goes reasonably well with this one.
I’ll never understand the hate for agile on this site.

The process is at its core, enumerating tasks to get to a. Goal, prioritizing them, and letting those who do them do them at their own pace and order across a larger team.

I’ve run teams that way for decades and never had a complaint.
sigh. It's nearly impossible to have a meaningful conversation about anything to do with "agile" these days. And that's because there's approximately zero agreement about what "agile" even is, and all of the various terms are overloaded with 100 different meanings, and every "agile" implementation is different from all of the others.

I'll just note that, in my experience, a few things are true:

1. The Agile Manifesto, in and of itself, is great.

2. There is no such thing as "agile development", as a methodology in its own right.

3. There are many "agile" methodologies, including Scrum, SAFe, Disciplined Agile Delivery, Agile Unified Process, Crystal, XP, etc. And then on top of that, every company in the world has implemented their own poorly specified, half-assed, bug-riddled, barely comprehensible implementation of "agile".

4. Approximately everybody misunderstood / misunderstands (perhaps intentionally at times) the Agile Manifesto and bends it to suit their own biases. A classic example is illustrated in this article:

One standout statistic was that projects with clear requirements documented before development started were 97 percent more likely to succeed. In comparison, one of the four pillars of the Agile Manifesto is "Working Software over Comprehensive Documentation."

NOWHERE in the Agile Manifesto will you find any instructions saying "Don't do requirements engineering" OR "Don't identify requirements up front". I promise. If you don't believe me, go read it right now and see if you can find those instructions.

What you will find instead, is the quoted admonition to NOT put documentation (possibly including requirements) OVER actually delivering software. But the Manifesto itself clearly says "there is value in the items on the right". Where "The items on the right" include:

- processes and tools

- comprehensive documentation

- contract negotiation

- following a plan

Unfortunately we, as an industry, collectively managed to myopically focus on items on the left and the "we value the items on the left more" phrasing and threw the baby out with the bathwater. "We are doing Agile" became the excuse to abdicate with regards to the necessity of doing requirements engineering, architecture/design work, documentation, etc.

Basically, we swung too far in one direction, and need to move back towards the center. No, I'm not calling for a return to waterfall or anything. I'm saying that we can embrace the principles of the Agile Manifesto and STILL DO requirements engineering, architecture, and all of those other things.

A good starting place would be to stop talking about "agile" like it's a discrete methodology (as opposed to a family of loosely related methodologies) and - as organizations - pick an actual methodology to implement and then actually embrace the "empiricism" attribute that Scrum emphasizes (whether or not you're using Scrum per-se)... measure things empirically and actually make adjustments based on THE REAL WORLD not somebody's whack ass theory. Reality trumps everything and I desperately wish we could get everybody to acknowledge this.
I wonder if any youtube moderators have used advanced knowledge of marketing campaigns to trade stock based on that information.
https://aes.shenlu.me
Sure, but even these people... the failures are so common, and often very obvious. Consider a CEO who puts a press briefing in and asks some questions about it, it's not uncommon for those answers to be obviously wrong on any sort of critical reflection.

We arent dealing with a technology that is 99.9% right in our most common use cases, so that we need to engineer some incredibly complex problem to expose the flaw. Rather, in most cases there is some obvious flaw. It's a system that requires typically significant "prompt engineering" to provide the reasoning the system otherwise lacks.

I guess that offers an explanation: people aren't aware that via their own prompt engineering they are repairing the deficiencies of the process by manipulating its inputs to include the structured reasoning it lacks. So there's a sort of hot-reading effect at work.
Recall that in 1997, Boeing was infected by the zombie mind-control fungus of McDonnell-Douglas management.
Snowflake has actually been fairly consistent on saying that the breach was not of their underlying systems, but customer misconfiguration. I am reminded of the mid 2010s when AWS had certain systems public by default and tons of "data breaches" involved companies simply not making their data buckets private.
You mean like the EU is trying now?
Bitlocker is enabled by default on windows 11. It's one reason for the tpm requirement.
Last chance to apply for YC's S24 batch
No, it really is true. Agile is widely misunderstood. The way scrum is implemented in 90+% of the cases is a complete mockery of what it was supposed to be. A lot of coaches completely miss the mark as well.

And the fundamental problem is that agile is completely incompatible with the way most enterprises are built. A truly agile team talks to the users of the product, and they have complete control and responsibility over the development process. That just doesn't happen because managers want to manage, and as much as developers would like freedom, they'd often rather not have the responsibility.
You're the only person making argumentative statements. The quoted sentence in the article was descriptive, not normative. In the context where you'd discuss Fourier series, degrees really aren't used. You're the only person bringing up skateboarding as if it had any relevance to the article.
Yeah, a lot of the friction comes from macOS being one of the only surviving major desktops that isn’t based on a Win9X paradigm, instead being a blend of classic Mac OS and NeXTSTEP (both dating back to the 80s) with a smattering of modern Apple. For longtime Mac users, Windows (and winlike Linux DEs) present almost as much friction.
> With that in mind, I question how a Texas based exchange will be more than a market for lemons. Companies too sketchy for the big exchanges might be interested in listing, but no one worth investing.

This is exactly how it will end up being used for. Companies that are listed as OTC (over the counter) or “pink sheets” are most certainly dog shit; and often subjected to pump and dump schemes. The TXSE will be no different especially with reported “fewer regulations” than NASDAQ or NYSE.

This is great news for grifters. The average retail investor will likely end up getting shafted.
If I’m not mistaken, companies that facilitate or host discussion are given the legal burden of policing speech online but there is obviously no consequence for removing more than necessary. It’s very rational for them to err on the side of caution and remove anything that has the slightest chance of getting them in trouble and being forced to pay a fine. Conversely, bad acting companies can remove content they disagree with under the guise of compliance.

This is just another example of poorly targeted legislation with negative externalities that will far eclipse whatever problem is being solved.

The bigger problem is that we as a society for some godforsaken reason believe it’s best to change social behavior with law. This is the same shit we have been doing for centuries and it has never worked. You cannot stop people from internalizing being a human turd, although social pressures can. But if all you have is a hammer…
> Thinking out loud also only gets you so far, if the expectation is a certain type of response it can't always "think out loud". In reality that just proves it isn't really reasoning here and is more likely just self referencing.

Try to calculate it without writing anything down, or thinking any numbers or words in your head.

You can't draw a 1:1 analogue between an AI and the human experience, but remember that we have an internal stream of consciousness. Maybe the outputs of the LLM are more similar to the stream of consciousness in our heads rather than the words we say? After all, Humans also do lots of self referencing.

> That being said, I tried this personally allowing it to think out loud and it told me she has 212 sisters. Using your exact prompt.

Fair enough, but worst case it can often solve it correctly with the correct reasoning. GPT3.5 can't solve it correctly with correct reasoning, so we are at least appearing to be on a path where AI's can start to solve this question, albeit potentially not fully reliably.
The Mighty Mac is a burger almost exactly like a Big Mac. Two beef patties with a middle bun level.

Compare:

https://supermacs.ie/wp-content/uploads/2017/11/Supermacs-Mi...

https://s7d1.scene7.com/is/image/mcdonalds/Header_BigMac_832...
Google might keep your Pixel during a repair if you're caught using non-OEM part
> so the assumption is that anyone who is an agent of Google is in on the secret

I think there is a difference here between "expectation" and "assumption".

Without the ability to do a third-party audit I agree the only reasonable assumption to make is that everyone is in on the secret and when dealing with sensitive information it should always be the assumption you go with.

However, as an expectation, I expect SaaS and social network providers (and by extension most of the HN crowd) to be better.
Oracle has north of 160,000 employees. 2,500 of which are in Texas. The founder and CEO both live in other states.