skysight-inc/HackerNews huggingface dataset:
finally, the producer will get more credit as they can create music without the need to involve vocalists with their weird political agenda
In Washington state they solved this problem by allocating the sales tax to the location of the customer for online sales. I remember having to implement it as a small business and it was a minor pain, but I assume the legislators mostly had Amazon in mind when they passed the law.
Can a website be both for the open web and at the same time modify native scroll behavior?
Yeah I wouldn't try to run this in the cloud. Would be broke as a joke in a week.

This is $5000 worth of consumer hardware, give or take.
Seems to me that the more soul-destroying part of that is the 'debt collection' and not 'OpenVMS'.
There are (unmentioned) norms here specific to your friend group. If your friends always come hang on Thursday night, that is about when they will show next week. They probably aren't going to pop by at 6am on Tuesday.
The US used to get this right by outlawing media consolidation and foreign ownership, then simply not having a domestic government-run propaganda outlet.

Of course, those rules were all repealed, and now we have things like Fox News which simultaneously violates all three of those rules (it isn’t government funded, but it is a de facto mouthpiece for the federal GOP). The left wing media has been playing catch up ever since.
This is what we had to read in grad school. I remember the sections on how they designed RISC architectures as especially good fun.

https://www.elsevier.com/books/computer-architecture/henness...
Show HN: Twitter Automated Outreach
I think where this reasoning gets people in trouble is when their 20 char password was leaked by LinkedIn or some such and they've since mutated it by inserting the random character and think it's now secure.

If the attacker uses a wordlist with the old password and a ruleslist with "throw in a random character", they're going to try the correct password long before they try a random 21 character string.
I got served malware on APNews.com from an ad. Twice... from the Associated Press Website. And thats when I regretfuly had to turn on my adblocker there.

Now hopefully they aren't 3rd party JavaScript ads (yet), but I still dont like the security implications of this.
Employees are finally beginning to treat their employment like companies treat their business. Every action you take as an employee should improve your financial position or improve your ability to earn more money. Unless you own a lot of stock, whether your team, department, or company succeeds or fails isn't a big factor in that.
Where is the money in that?
Great. It's their business; they can run it how they want. If elite northeastern universities want policies that tick rural southerners off, so be it. Y'all can run Ol' Miss any way you see fit.
Could work. Unavoidable is the key part. Companies are greedy. They'll want to reduce salaries AND not pay increased taxes due to not having that deduction any longer.
More than the cores and RAM, you have bigger issues with I/O (both throughput and latency) to disk and the network from cloud providers. Physical hardware, even when comparing cores/RAM 1:1, is outrageously faster than cloud services.
You must have misunderstood what was intended to be expressed. I will reformulate.

"Pleasant" is not necessarily the goal. The goal may be "artistic", which implies some inner logic that the artist intends to express; the goal may be "communicative", which implies that the creator will focus on the effectiveness of the thought-structure presentation.

There is an amount of knowledge that is in the professional that may not be codified for explicit fruition in the machine. This may for example suggest that the knowledgeable author will want a very high degree of control on the output, as the details are involved in his intention - so, he will not leave much space for random randomness.

The z-movies director will shout "cut, good, keep this, next" very frequently; Kubrick will shoot scenes in dozens of takes, even over a hundred. Apprentices in music will explore; Hollis directed authentic professional musicians for very long sessions looking for specific qualities in results, and could delete entire parts for being imperfect or alien, while even excessively nice.

Perfectionist authors are demanding in all sides of creation. (And delegation, as said above, not just detail, will not be left to randomness.)
>IMO, the real tragedy here is ... that some dude who wrote an original song had to pretend it was written by AI to get it heard.

Genuinely curious to hear why this is a tragedy. Does everyone who puts out anything original deserve to have it heard by a wider audience?

Edit: Asking as someone who has always been heavily involved in various aspects of music and has watched a massive increase in the volume of music being put out now that it's significantly easier to produce on your own. This is a very complicated topic.
ChatGPT, as for now, cannot infer anything. It will repeat most likely words and that's it.
It is like going to an advanced astrological consultant
The fact that his last name is exactly the same as one of Nintendo's primary antagonists is way too on the nose. There's also this guy: https://www.mariowiki.com/Doug_Bowser
> Seriously, though, the 50s promised flying cars, personal jet packs,

You can buy those, they're just expensive to buy, to run, to insure, and to learn how to operate.

But you can buy them.
Maybe the efficient market hypothesis?
Plenty of quant funds are already predicting the market with a fair degree of success -- RenTech has averaged something like a 35% return rate after fees on their Medallion Fund since its inception in the 1980s.

So I think the actual question here is: What happens when you can make these predictions without hiring dozens of Ph.Ds and paying them oodles of money?
It's important to me the distinction that it's ads for Microsoft services. I dislike that as much as anyone else who hates ads, but it is distinctly different than just general advertising.
The rules for a turing machine are tiny... it's potential output is not. When you're looking for a small subset of well defined behaviors in order to maintain compatibility and application security those complications matter a lot.
I've found it useful using LLMs to help understand company 10-K reports like these:

https://docalysis.com/library/10-k-reports

For example, I used it to understand how much Meta is investing in its Reality Labs initiatives ($13.7 billion last year) as well as how much revenue Reality Labs brought in ($2.15 billion).

I'm certain financial professionals are using it to better understand the world. The paper says it uses ChatGPT for sentiment analysis, but I think an even bigger leap is going to be getting actual meaning out of news and financial reports more efficiently.
It was only a small jest on the word “now”. France certainly made the correct choice back in the 70s to go all in on nuclear.

Though they have a rough road ahead of them. The fleet is getting old. Most likely the share of nuclear power in France will drop going forward.

Again we should all applaud France for making the right call in the 1970s.
So I'll caveat this with "every makerspace is different" so it's definitely a YMMV situation, however hackspaces or makerspaces that have properly gone all in on the "movement" are typically not-for-profit organizations. (not all of them by any means, hence the caveat) but in my experience (as a UK'er with a typical UK family home) very few people can afford the dedicated space even a modest wood workshop requires. Most (average sized) homes here barely have garages, let alone a shed bigger than 6'x 4'. the best I can hope for in those situations is a small collection of hand tools and a rickety folding workbench.

In contrast to that I have a local makerspace that has more facilities than I could ever afford to own, along with actual space to DO the work on projects I want to do with <GASP!> actual solid workbenches and fixed tools like pillar drills (press), table saw/router, band saws. and that's just on the wood side. They also have a CNC router, metal and wood lathes, welding kit/space, [FRICKEN] laser cutter, 3D printers, electronics workbench with a 'scope more expensive than my car. A whole host of things I would never be able to afford either the cost or space to host.

And they have a phase of membership which permits 247 access (not extra cost, just a bit of familiarity) which by design also means it's a social space, so bringing back to the context of the OP, has meant good friendships are formed as new skills are acquired/shared.

Yes it's a monthly cost, but even if I added up the total cost since I've been a member, it doesn't add up to how much even one of the major tools would set me back. Even taking all that into account, it's given me an opportunity to learn things I would never have considered doing on my own. I joined for the 3D printing and stayed for the laser cutting, CNC milling, PCB designing/surface mount soldering, microcontroller learning, welding and friendships.
I feel compelled to write this though it's only tangentially relevant to the article and is an adaptation of Taleb's story of stock-picking monkeys[1] from either Fooled by Randomness or The Black Swan:

Say you have an email list of 100000 investors, you ask ChatGPT to produce 100000 predictions and send these out to each investor.

Assuming ChatGPT is as good as a coin flip, 50000 investors receive good predictions. The next week you have ChatGPT produce 50000 predictions and send them out to those winners, you now have 25000 who have gotten two good predictions.

Rinse and repeat four more times and congratulations, you now have a client list of over 1500 people who have received six weeks of good predictions and are ready for you to manage all of their wealth using these insanely accurate AI predictions.

[1] https://www.washingtonpost.com/archive/business/2004/06/20/a...
2011: https://news.ycombinator.com/item?id=2425507

this was in comments: https://placekitten.com/
An interesting benchmark would be if it can outperform index funds over a given time period.
That’s because the mammoth facility image is just a render.

You should stop smelling it once the facility is online.

By the way, let’s talk payment plans…
What comparison do you think you're making here?
>>* ok I had chatgpt write most of it.*

Can you please do a write up this...

Or at least a little tutorial or something, for ~~great justice~~ posterity?
I would wager that the period of actively-managed funds underperforming the broader market overlaps with the period of Federal Reserve largesse.
It occurs to me that LLM have the exact opposite strengths and weaknesses of traditional computing - where trad comp is good at hard calculation and storage and bad at soft interpretive, LLMs are good at soft interpreting but bad at anything that requires runtime state storage.

It seems like we’re going to plateau and see incremental improvements in AI and will take a novel technique to bridge that gap.

This isn’t a new idea of course, but as someone with only light AI knowledge this article helped me understand why that is
They are complex systems that are both traded and counter-traded, and more. So you have to ask after those questions in a positional mindset, and prepare for the million little details to be the part that threatens the entire premise.

I'd personally rather see it predict the weather in some ways, for one because the insights would be more instantly tractable.
There isn't that much excess fuel. The reason it looks so big and dramatic is because of water vapor and fumes reflecting sunlight.
I liked the song. I think the buzz being generated by this thing is awesome.
Not OP but https://github.com/MarginaliaSearch/MarginaliaSearch/blob/ma... has a diagram and component overview!
> Apple is receiving a kickback from the municipality for indicating that online sales to California residents are transacted in Cupertino. They’re not bringing customers to Cupertino—not physically, at least—but merely are choosing that city as where sales are made.

This is an openly illegal practice that is only possible by the collusion of judges. If judges accepted the totally fabricated reasons that companies provide for their behavior in murder cases, criminals could get out of prison by just arguing that "the victim shot himself from 10 meters away". You know that it is impossible, the judge knows that it is impossible, but as far as the judicial system accepts it then keeps you out of prison. That "sales" are all assigned to a very convenient city is the same case, an obvious lie that will not pass any accounting good practice but that tribunals accept to favor big corporations, usually for kickbacks.
Capture at the source is a product. Maybe with a maintenance contract.

Capture elsewhere is a service. Possibly a public service.

The financial math is different.
The AWS Lambda Runtime API is pull based:

- GET events from ${AWS_LAMBDA_RUNTIME_API}/2018-06-01/runtime/invocation/next

- process it (run your handler)

- POST the response to /runtime/invocation/AwsRequestId/response

https://docs.aws.amazon.com/lambda/latest/dg/runtimes-api.ht...
Very very impressive, it’s a weak Drake song, but amazing some random guy was able to do this.

I can imagine some independent artists being more open to allowing AI imitation.
I used the Titan for about a year, after having gone too far in the small-as-possible direction (Jelly 2). I thought I wanted a hardware keyboard again, last one was an Env2 which I remember loving, but it wasn't really any better than an onscreen one and there are a lot of downsides to the odd screen size.
It's a Debian server running nginx into a bunch of custom java services that use the spark microframework[1]. I use a MariaDB server for link data, and I've built a bespoke index in Java.

[1] https://sparkjava.com/ I don't use springboot or anything like that, besides Spark I'm not using frameworks.
The expiring part is very simple. For just get/set/delete and scheduled garbage collection, here’s an implementation that’s almost precisely equivalent to what KV.js offers (just with sane arguments and return types, fewer bugs, and markedly better performance due to not supporting stuff you certainly don’t need and removing unnecessary abstractions):

const store = new Map();
const expiryTimes = new Map();

function get(key) {
// (This works even for non-expiring keys because undefined is not less than any number.)
if (expiryTimes.get(key) < Date.now()) {
store.delete(key);
}
return store.get(key);
}

function set(key, value, expiry) {
store.set(key, value);
if (expiry) {
expiryTimes.set(expiry);
}
}

function del(key) {
store.delete(key);
expiryTimes.delete(key);
}

function flushExpired() {
const now = Date.now();
for (const [key, time] of expiryTimes) {
if (time < now) {
del(key);
}
}
}

// Optional: automatically delete expired entries to free memory, once a second since that’s what KV.js does, but that’s probably waaaaay more often than you need.
setInterval(flushExpired, 1000);

Working directly with store and expiryTimes for more advanced stuff will genuinely regularly be easier than working with the KV.js abstraction.
I am not enamored of tags, because tag systems break down when humans get involved.

The same person will choose different sets of tags for the same file, when asked on different days; they will end up with synonymous tags that should be coalesced, but nobody wants to do that drudgework.

The semantics of each tag will alter over time and by person.

An optimal tag system is inferior to a full text search system with an indexer that recommends keywords and has a reasonable syntax for includes, excludes, and boolean logic.
I'm 100 certain we'll soon listen to (and later watch) home made virtual performances by deceased artists and actors, with also huge legal implications.
Just suppose someone manages to create a very convincing new song with Elvis and Kurt singing along Amy Winehouse, then releases it without naming the involved artists, so that except fans one couldn't tell who they are with 100% certainty, could lawyers have enough grounds for a take down request and possibly a lawsuit?
Presumably, that last name is ciphertext, and the family keys were lost to history.
I don't trust my own judgement when it comes to stocks,no way I am ever going to trust that model to get predictions.
The four pillars of Uber’s $500M ad business
2023 Hyundai Elantra N Review: The Affordable Sport Compact Hero We Need
… compared to GPT 1 and GPT 2 and BERT…
It is still mental and visual pollution. I switched from Windows to MacOS 2 years ago after being a long Windows holdout and damn, MacOS is nice and the Mx series of CPUs/GPUs are also incredibly fine.
Just that there is tremendous hubris in the statement—at least when the statement stands alone. Vastly larger LLMs will probably become one or more relatively small components or layers of much larger systems that run on whatever we use as telephones in 20 years.

I suspect what he means is that OpenAI is finding diminishing returns from throwing money and hardware at larger models right now and that they are investigating other and/or composite AI techniques that make more optimal use of their hardware investment.
That does not really speak against tags in general. You can also predefine tags for instance.
DRY should really be "DRA" - don't repeat abstractions (which admittedly isn't as catchy).

The problem with DRY is when abstractions with currently identical implementations are given a single interface, even though they're logically distinct.

Then, when those distinct abstractions' implementations need to diverge, you've got a rats nest of references to manually pick through and separate out.

Or worse yet , the mistakenly-shared interface becomes parameterized, leading to a horrible mixing of requirements and concepts that may never be untangled if the original intent is lost to time.

Obviously DRY is great when you can consolidate multiple implementations that are actually a single abstraction, but it can really go off the rails if the motivation for the mantra isn't understood.
The best part is that it makes third party firmware much harder, but at the same time their own firmware is proprietary abandonware in very short order.
What sort of market prediction is decided by coin flip though? This makes more sense in the context of a binary outcome like sports betting in which you are betting on a team either winning or losing.
If he did everything he could to make it sound like Drake or The Weeknd musically and lyrically then it wasn't original and didn't deserve to get noticed much.

One less clone if a world of clones isn't a tragedy.
SUV's can tow, which is a very useful feature if you have a family and also need to tow something.

I have been needing to tow an excavator for the past few months. Renting a truck to haul the excavator back and forth gets extremely expensive, like $200 per day for just the truck, not counting the trailer or the excavator itself.

Making tools, like a vehicle that can haul, more expensive just hurts middle class DIYers. This entire thread is basically people saying "other people don't need to own big nice things, only rich people should be allowed to do that".
Paying for ChatGPT and CoPilot. I would say CoPilot saves me 30-50% of the time it would have taken me by hand depending on what kind of coding task I'm working on.
Ask HN: Inter-country network issues affecting UK (London/Slough)?
For the past 3 hours we've had major issues connecting to London/Slough servers from outside the UK (Asia specifically). Routing (tracert) from AWS Singapore to our UK servers was a mess - timeouts all the way. I'm curious how large an outage this was.
That doesn't mean the banner is correct though - many just ask for Cookie Consent when they need a wider consent

Event making a TCP connection to a non-critical third-party requires consent
I attended public schools K-12. They were a disaster. Why? Every child of a certain age who lived in a certain ZIP code was there.

I attended a private university. It was a more pleasant environment in which to learn because most of the people wanted to be there and most of them weren't stupid.

Then I want to law school. It was as much of an improvement over college as college was over high school. Almost every person wanted to be there and almost everyone was whip-smart, certainly way smarter than me.

Sadly, if there are more elite levels of education where everyone is even more dedicated to learning and even more intelligent, I probably won't be invited to them, because I would be such a tremendous distraction to those people with my tiny brain and low effort.

Your thought experiment just obliterated this system and I'm not sure why. How would your model improve some facet of the existing system?
HUMAN: Write a short piece for an HN post about how low-background steel might be a good analog for a word to describe text and image content before the advent of large generative AI models.

AI:

As the world of artificial intelligence (AI) continues to advance, the impact of large generative AI models like GPT-4 cannot be overstated. However, before the advent of these powerful models, there was a time when text and image content were created with a different approach. Just as low-background steel is used in sensitive scientific experiments due to its minimal radiation contamination, the content generated before the rise of GPT can be likened to "low-background steel" - free from the influence of large-scale AI models.

Low-background steel refers to steel that has been carefully selected and processed to have low levels of radioactive contamination, making it ideal for experiments that require precise measurements. Similarly, content created before the era of GPT was shaped by human creativity, expertise, and personal touch, without the reliance on massive AI models.

Just like low-background steel retains its inherent properties without interference from external factors, pre-GPT content carries the unique perspectives, creativity, and individuality of human creators. It reflects the diverse range of voices and ideas, and embodies the authenticity and originality of human expression.

As we continue to harness the power of large generative AI models, it's important to appreciate the value of "low-background" content created before their advent. It serves as a reminder of the human touch in content creation and the unique qualities that make it distinct from AI-generated content. Just as low-background steel is treasured for its purity in scientific experiments, pre-GPT content holds a special place in the history of creative expression, and it's worth acknowledging its significance in our rapidly evolving AI landscape.

In conclusion, low-background steel serves as an apt analogy for pre-GPT text and image content. It represents the authentic, human-driven approach to content creation before the rise of large generative AI models. As we navigate the future of AI, let's remember the value and richness of content created by human ingenuity and creativity, and the unique insights it brings to the digital world.
Already happened to Tupac at Coachella.
The issue here is in the way it is deducted.

Previously, $1.000.000 spent on R&D in 2023 would result in a $1.000.000 deduction on your 2023 taxes. Under the new system the same spending would result in a $200.000 deduction in 2023, $200.000 in 2024, $200.000 in 2025, $200.000 in 2026, and $200.000 in 2027.

You still get the same deduction, but spread out over multiple years. However, it also means that you can now deduct $800.000 less in 2023 than expected, resulting in a far higher tax bill this year! If you are a startup you probably don't have that spare $800.000 just lying around doing nothing.
I'm working on the documentation. It's getting there, but it's still kinda thin in many places.
> This article makes it sound like Doyle's knitting provided the codes to encrypt her messages that she was sending

To be fair, the title makes it sound like this. The article does mentions the silk code and how it was hidden.