skysight-inc/HackerNews huggingface dataset:
I am the dev, here to answer any questions!
VPS of Engineering Should Know These 6 Ps
HN has actually a page entirely dedicated to posts that went overlooked and are therefore invited to resubmit

https://news.ycombinator.com/invited
For anyone familiar with the legal landscape, except for scenarios where AI products make reproductions of their training material, why isn't this covered under fair use?

Don't humans basically do the same thing when attempting to create new music — they derive a lifetime of inspiration from the works of others?
Could see it being used for data analysis when doing sourcing, plenty of AI-powered datascience notebooks out there
I had no idea that Belgium has already implemented a lot of this stuff! That is amazing and gives me a lot of hope.

I wonder if there’s literature analyzing Belgian academic outcomes alongside American academic outcomes.
Thank you for the question, that will be left up to the clients. Trust between individuals can be built from a virtual date, so there is no problem there. If matched individuals want to continue seeing each other offline (or if both are comfortable with a offline date initially), that's great too.

I'll update our information to reflect this.
I'd love to see this, too, but it would be almost impossible to enforce. Companies can always plausibly deny: "Oh, no, it's a real job alright, we just can't seem to find the right candidate for it. Woe is me!"
>But do people ever actually "invoice NASA" for components

Yes, absolutely they do. I'm not a part of this mission, but I'm currently working on another NASA spacecraft mission. I don't know the percentages off hand, but a substantial portion of our spacecraft is built in house with parts purchased directly by NASA from the manufacturer.

Regardless, there are lines of communication to subcontractors. The mere fact that they found out about this at a conference is significant evidence that Infineon didn't notify who they should have.
Don't go to university if you don't actually like CS but are just going into it for the money or are going into a career trajectory that doesn't require knowing CS, which is more than 80% of the industry. The knowledge university provides is priceless to those who need it but you aren't among them. You are also in the category that, if it ever happens, is most easily replaced by LLMs because there's an enormous corpus of training data for boilerplate tasks.

Do go to university if you're interested in CS and programming itself and would have been even if it paid poorly or you're intending to hold out for jobs that make use of CS knowledge, like FAANG, platform companies, or other hard tech companies. Should hard times occur and you need a job in a hurry, you're also much better equipped to outcompete one of the people in the former category for one of their jobs.
Nuclear too slow to replace coal, and baseload "can't compete" with wind & solar
Copy-pasting HTML of the article body (manually) into Claude 3.5.
Because AI often replicates things much more closely than what fair use would constitute, and doesn't label sources like when you are quoting. And it's generally harmful for humanity, too.
So is there section in Amazon where I could review or see reviews on fulfilment? If not, product review is the correct place.
I wonder how many of the creators complaining make react videos.
I usually ask candidates to do example questions related to everyday stuff like log parsing. They won’t need anything fancier than a hash map. Many people are stuck after writing 4 lines of boilerplate. Some don’t even know the syntax of the language of their choice.
Is the UX comperable? Might try this
this could become Crafty quadcopter sits on power lines to receive DX shortwave CnC signal
The channel I frequent the most has 6 users in it. It's not about the quantity, it's about the quality.

;)
Does uv support platform independent lockfiles now?
I wish there were an alternative to the DNS-01 challenge for wildcard certs, most common DNS providers APIs are all-or-nothing so you have to leave the keys to the kingdom lying around on whatever machine is acquiring the certs, or use a convoluted workaround like acmeproxy to avoid that exposure.
> there are no subsidies

I thought the oil and gas industry famously got about $4B in subsidies per year, and about $20B to fossil fuel industries in general. Has that changed recently?
I'd love to replace my phone with something like this. If only I could get Slack and Telegram to run natively without requiring a linked phone
I'm specifically interested in situations where ML products do not do simple reproductions of copyrighted material. I'm aware that it's difficult to even know the space of output and to "align" the model correctly.

Are we normally required to label sources when referencing other copyrighted materials, whether in songs or movies or otherwise?
> Meanwhile in AWS you would pay $27k a month to have the same IOPS as a Lenovo Thinkpad X1.

This is kind of an unfair comparison. Essentially nobody needs a million iops for their database. Even an extremely busy database doesn't need to scan all of the data it holds (or at least, if it does, you're using it very wrong—that's why we have indexes).

A fast disk is possible on a laptop because it's a tiny hop to RAM. And it's desirable because you probably have nowhere near 2TB of RAM handy, so you need it to be fast.

In the cloud you can get 2TB of ram for $11k/mo (4x r6g.16xlarge). Not that you need anything like that to run your database. Most of that data is never being queried.

It's also the case that a laptop workload is very different than a server workload. If I run a steam game, I want it open fast. My laptop isn't crunching numbers on all the bytes at that moment. When I run a table scan on a Postgres table, processing needs to happen on every single tuple. A million iops isn't useful if your CPU immediately becomes the bottleneck. A Thinkpad would simply never match the response times of a server with a tenth of the iops under load (if the workload required scanning huge amounts of data).

So yes, the iops are more expensive, but that's really not a metric that anyone in the target market is hurting over.
Langflow: A visual framework for building multi-agent and RAG applications
I don't think this is true as stated. Evolutionary algorithms are not the most efficient way to do most things because they, handwavily, search randomly in all directions. Gradient descent and other gradient-based optimizers are way way faster where we can apply them: the brain probably can't do proper backprop for architectural reasons but I am confident it uses something much smarter than blind evolutionary search.
Completely irrelevant. A manager at a bank is not pushing for RTO at the bank because a restaurant has a loan.

You're missing the point of this conversation.
I wonder how much of video generative AI depended on the open source project youtube-dl/yt-dlp.
Thanks, that was very helpful. I agree, a lot of new construction is really shoddy and put together in a hurry. Naturally I would want to avoid that but you're right, building yourself isn't worth it unless you're ok with waiting for the market to catch up with you, or you're able to build a bunch of houses at once (which a lot of developments do)
AI Punk's Manifesto
You said it yourself - it's a question of engineering versus business roles.

Software engineering doesn't necessarily have a higher bar than other comparable STEM.

And lest we forget many other roles have to pay their dues upfront at a much earlier stage: doctors have the MCAT, lawyers have to pass the bar, many accountants become CPAs, etc.
I was thrown by this too, but I think the author is in his 40s and making comparisons to the VP-level comp that some of his peers are making after spending 20 years climbing the ranks at a single company.

He talks about making millions per year, so it’s not a typo.
Since a year is ~260 working days, your 50m grant is actually pretty close to $50k / day, not $35k

I do think your overall point stands
I don't know that it's higher, per se but it's more that being able to discuss concepts isn't enough. A programmer needs to be able to translate those concepts into actual algorithms and working code. I've interviewed people who were able to look at the coding problem we gave them and discuss it intelligently, but when it came to actually writing even pseudocode to solve it, failed miserably.
Last year the executives beat everyone to the punch: hard limit of two drinks max from the bar, and you couldn't bring anything in.

Party: pooped.
The answer is, we don't know yet, LLMs are too new. There are multiple lawsuits creaking to life on this topic and the defendants will no doubt claim fair use, but legal experts seem to think it could go either way. Training language models on publicly-available data for academic research has been successfully defended as fair use in court, but there is plenty of precedent in the law where something can be fair use in a research context but infringement if done for profit, which could very well be the case again here.
EFLAGS is actually put in the same renaming register as the result, so you get renaming for free.

The renaming registers in the Intel Pentium Pro and Pentium II are actually over 80 bits wide. They need to hold a full 80bit float, or 64bit MMX result. The Pentium III extends this to 128bit wide renaming registers to support SSE.

This is despite the fact that the P6 architecture only had 32bit bit integer registers until the Core 2 in 2006. So there is plenty of room to store EFLAGS in the same renaming register as the result. This also means that the branch uops point to the result of the most recent flag modifying instruction.

It was only with Sandybridge (and the introduction of AVX) that the P6 switched to a PRF design, with separate registers for floats and integers. Of course, Netburst also had a PRF design.
Being a bad product or poorly engineered doesn't make something a "scam". There is an actual real NFT scam in this story before Rabbit though if you dig.
One thing I have setup on my computer is a custom DNS server that routes traffic by default to 8.8.8.8 (Google) but allows me to route certain domains (ex. ones you want to sniff) to your own webserver. Half the time there isn't even proper SSL protocols in place, making it very easy to see what these devices are sending over.
Instead of selling itself, it should buy sourceforge. That will be one quick step to becoming a replacement to github with a network purchase. The ads are just cherry top.

Secondly, acquire an issue tracker software. With a huge base of private developers, project management software is a step over.

Thirdly, launch a news media site like download.com.

Investment price: $300 million + 400$ million plus $40 million.

Return on investment: $24 Billion market cap. x3
you can put lists into hn like so, with two newlines

- item 1

- item 2
There had been code execution exploits tied to escape sequences, for example:

https://news.ycombinator.com/item?id=40428032 - Abusing url handling in iTerm2 and Hyper for code execution (2024-05-21)
It has to be mechanical, there are no input ports on the (current) Apple Watches.
I don't have any interest in this product or sympathy for its manufacturer, but:

>On July 12th, I asked Rabbit Inc. if they had any comments to make on the content of this article [...] As of the end of July 15th, they have not responded.

That *was* between zero and two working days, depending on how early on Friday the author asked them for comments and how late on Monday they waited for a response. It might've been better to wait a few more days. I doubt they would've responded even then, but it would've made the case of their incompetence stronger, and given them less ammo for a rebuttal should they choose to make one.
Yeah I gotta agree here, I'm not sure I've seen someone so opinionated with python. I tend to try to use things built into python or official recs until I hit an actual problem that needs to be solved.
That is not the same and I really feel like the distinction should be obvious.

Most articles will link to sources from others and then build on top of them for their own article. Actually giving sources for your work. That isn't swiping the content to write an article. Yes there are bad actors in that regard, but most play by the accepted rules here.

With the AI work, attribution of source is gone. Who did the work that you are benefiting from is gone. The people that benefit are those that made the AI and the people using it, skipping the source for the training data.
Given the state of infrastructure in these communities, delivery can be quite difficult. Roads narrow to become alleyways or staircases, making them impassable by car. On top of that, official maps often don’t exist; even Google hasn’t completely charted every corner of every favela. As a consequence, many houses don't even have an official address.
> Another important conclusion of this is that if a politician is pro-crypto today, but they are the type of person that is either very power-seeking themselves, or willing to suck up to someone who is, then this is the direction that their crypto advocacy may look like ten years from now.

Vitalik strikes me as being very naive about the process of policy-making. All politicians are, by definition, power-seeking individuals. They're seeking the power afforded to them by a seat on city council, as governor, a member of congress, etc. This is simply the nature of the political process. They may even be seeking power in pursuit of a noble objective, but they are seeking power nonetheless.

Realpolitik as a non-politician means aligning yourself with whoever best represents your interests at that particular point in time. One election cycle that may be Party A, but in the future it could be Party B. It could differ at the federal, state, or local level. Frequent elections and term limits ensure that turnover will happen, so change will be the only constant. Flexibility is required.

Waiting for the perfectly ideologically-aligned candidate sounds nice, but in reality it means you'll be waiting forever. All politicians are flawed, and many will simply tell you what they think you want to hear. Their behaviour is amenable to incentives, however, which is why donations are such an important - if maligned - mechanism for accountability.

Marc & Ben are being practical. They've observed that the behaviour of one party has run directly counter to their interests over the last several years and they're aligning themselves with the party that is at least proposing a better set of policies.

That's just... how this stuff works and has always worked.
How many of the YouTube channels depend on fair use themselves?

For example, Jacksepticeye is listed as having their videos used. Looking at the channel, it seems like a lot of it is is recordings of them playing video games.

Is the company that produced these games being compensated?
iOS apps can record audio in the background with the provided API already so this isn’t actually a hold up
> if you can't even be bothered to capitalize the first letter of each sentence in your publication

I suspect this is actually more interesting than base sloppiness.

My first experience with instant messaging was on ICQ (and IRC a year or two later once my Internet usage wasn’t being billed by the minute), and to this day I don’t capitalize or end single-sentence replies with a period in IM situations. The no-period thing is mostly universal—I believe I’ve seen an article in a linguistics journal about how a final period “feels aggressive”—, but I’ve noticed people who learned on smartphones using keyboards with automatic capitalization do, which just looks unnatural to me.

So if someone writes a blog post not as an article, but as a monologue in this kind of conversational style, I can see how they could come to not capitalize and use newlines as sentence breaks. I believe that style is (was?) somewhat popular on Tumblr? I’m honestly a bit surprised it wasn’t more popular on Twitter before the 140-character was lifted.

I’ve heard that communication over IM is actually linguistically interesting (the whole thing, of course, not the punctuation)—in most ways it works like a spoken (or signed) conversation, except it’s expressed in writing. So it’s not entirely unexpected that it can develop conventions that are unlike that of the normal written word. And despite the thousands of years people have been using writing, there isn’t really precedent for this kind of thing before computers.

(I’m also not convinced anything good comes out of trying to attract a generically wider audience.)
They might be able to C&D the name, but I doubt they'd do anything (or get anywhere if they tried) about the case.
For reference, this project is from Eureka Labs, which is the new education startup from Andrej Karpathy.

* https://eurekalabs.ai/

It appears to be a generalized version of the bi-gram project, which he links to here:

* https://www.youtube.com/watch?v=PaCmpygFfXo

It's cool to see him putting in even more effort on the edu work. It's a real gift he has, and was visible all the way back in his grad student projects.
It's not hard to apply an upper bound here.

If you arrive at a government office when they open for the day, and try to spell out your name to the clerk, and are unable to finish before the office closes for the day, that name is too long.

Realistically they will probably tell you to leave well before that.

No one will have a legal name longer than the legal system will allow them to have.
Sadly stuff like this makes me think Google is going to work even hard at preventing tools like YT-DL from working.

IMO data is Google's biggest moat in the AI race - and I suspect they'll do whatever they can to keep it.
HN commenters do this all the time, though. They'll take, say, an "L6 Google + Bay Area + Top End + Most Favorable Stock Market" compensation number, and then say "Most tech employees make this much."
Yeah the `--universal` flag should do that.

uv pip compile --universal requirements.in -o requirements.txt
uv feels a lot like pip but unlike pip it has a correct resolution algorithm. I understand that people are working on a higher-level product that incorporates uv.
I've been liking pdm as opposed to poetry, as poetry uses some non-standard syntax in the pyproject.toml file. I had a lot of trouble getting hatch environments to handle changes to default python versions and the like. I like how pdm played nicely out of the box with pyenv if you're using it, otherwise manages environments directly.
Well? Aren't you going to spill some juicy details about the supposed "large action model"?
> I do think that it's stretched a bit far

How so?

> Rust is not really a factor (either way) when I'm deciding whether or not to use a particular piece of software.

For a five function calculator or alarm clock app, sure. Browsers have an immense attack surface, handle incredible amounts of untrusted data in hundreds of different formats, and are actively exploited regularly.

Cloudflare reports almost 7% of internet traffic is malicious: https://www.zdnet.com/article/cloudflare-reports-almost-7-pe...

Software which is expected to deal with such hostilities and complexities needs to be written in memory safe languages in 2024.
I guess that depends on whether or not you want the job. This is a clear example of when soft skills can make a difference.
At least we're finding the mortality rate isn't the 50% of early cases. That's a significant relief.

(Presumably because we've been having low/no symptom cases that went undetected for a while.)
Depends on how much of the source you used (which is in line with how fair use works, unless you're developing parody). Given that AI is using the entire source: yes.

As we know with scraping cases, the amount data and time also may play a role in determining fair use (think in terms of buffet ettiquite. "all you can eat" does not in fact mean "you can eat it all by yourself"). Funnily enough LinkedIn (owned by Microsoft) did argue successfully in court against scraping a website.
What type of coding interview do you find more valuable for the interviewer? Algo code interview always looked like the interviewer trying to show off to me. Guess it depends on the requirements of the job, though...
Napster was considered fair use at one point as well.
> from the works of others?

... which they presumably listened with permission
This can be a good thing, to reboot your brain
Not the parent, but my understanding is that the effects have a lot to do with the brain entering a short term state of neuroplasticity at a level that is not normally experienced in adulthood.

The result being that processing emotions and making key realizations actually “stick”. It’s possible for example as someone who suffers from PTSD to realize that it’s no longer necessary to be on high alert, but the body is anyway.

I’m also no expert so take this with a grain of salt, but I think it’s less of a defragmentation and more of an increase in pliability that leads to lasting changes.

This is one of the reasons that Psylocibin-assisted therapy is showing such promising results. The brain entering that state unguided may or may not lead to good results. But when a trained therapist is involved, outcomes improve.
This study would certainly seem to indicate that this is at least true in some form — the study shows that parts of the brain that are typically very well correlated with each other (one fires then the other fires, or they fire together) come uncoupled from each other under the influence of psilocybin.

I'm not sure it could be correctly stated in the gross sense as "jumbling it up and making it re-build," but there certainly is a shift in how the brain's components work together for the duration of the drug's effects, per this study.
There is a continuum between a human who has heard a lifetime of music and later wrote similar but different music inspired by what they have heard, and a copy machine that directly reproduces (with minor degradation) a copywritten work.

The question is where on that spectrum does current AI training lie, and where is the cutoff between fair-use and unauthorized commercial use of copywritten works.

Today's AIs are not the same as a human creating original work. Even humans have to be careful to not reproduce existing works too closely or they also get blamed for plagiarism.
That's great to see this show up today, I'm actually their wildcard certificate to build a DNS01 Challenge that connects cert-manager(ACME) and external-dns to create a fully open source "ephemeral environments" infrastructure on top of Kubernetes (https://github.com/pier-oliviert/sequencer).

It's crazy to think that not too long ago, these certificates would cost a small fortune. I'm really grateful to anyone working on making this available for the world to use.
Whether covered under fair use or not, the laws around copyright today did not anticipate this use case. Congress should pass laws that clarify how data is and isn’t allowed to be used in training AI models, how creators should or shouldn’t be compensated, etc - rather than speculating whether this usage technically does or doesn’t comply with the law as-is.
It's buggy depending on browser implementation, Firefox will corrupt DBs, it's a herculean task to debug things with users, it blocks the main thread for reads or writes (maybe wasm stuff does too).
Nirsoft is timeless. Been using it for decades (although not lately). Volumemouse is as good today as it was in 2000. And highly as I regard Mark Russinovich (SysInternals), Nirsoft was way ahead of him.
How about dax[^1] which is cross-platform and also works with Deno?

[^1]: https://github.com/dsherret/dax
Maybe this makes a tiny amount of sense when talking about imports, but if Chinese-owned factories in the US are outproducing American-owned factories, then China just has a better, more efficient system for producing solar panels. Maybe they should up their game instead of complaining about competition.