skysight-inc/HackerNews huggingface dataset:
Shit take. Young people make mistakes. So do full grown adults. This person isn't asking for your sympathy in any case, merely raising awareness of risks that sometimes (often in some circles) get glossed over.
Australia legalises psychedelics for mental health
Apple's App Store has ads: https://searchads.apple.com/

If you really do refuse to use apps with promoted content then I guess you don't install anything to your iPhone.
AI writes a new chapter in “Black Jack” manga series
Yeah, I often talk about the "phase" of a schedule being close to 90. Managers are thinking % but I'm thinking degrees.
The reason Yandere dev got so much vitriol (besides generally being a gross human being) is that he loudly proclaimed that his code was great, and he was the best programmer, while doing things like making trivial O(n^2) loops in a game that ran terribly precisely due to those things. He also constantly sought free work from fans that he could profit off of, and even when people offered to help him make his code not atrocious, he pushed them away and was a toxic dick about everything.

He's the exact kind of "I'm the best" that every professional has run into before and cleaned up after.

This wasn't some amateur doing his best with limited resources to give a fun experience to the world, this was a hateful, angry person earning $3500 a month in patreon subscriptions begging for free 3D models from his fans, berating them for giving him free 3D models that "weren't good enough", and refusing to spend a single dime of that revenue on fixing, finishing, polishing, improving etc his abortion of a video game.
Pretty sure it’s 20% of all meat
You can by fish free pet food.

I’m not sure why people are downvoting this, you can literally by fish free cat food https://cats.com/fish-free-cat-food.
Yes, the double whammy is working against self-signed certificates which I see as great for small groups.
What is this quoting? Maybe I'm missing the point, but is your last sentence meant to describe the way modern farming has gone? Because tractors and general technology have made calories wildly abundant and cheap
Crawl the internet archive Wayback machine slowly. Once you have built your index, you can fill your corpus gaps with public crawls. Patron services can advise to be helpful without causing stress on their infra.
Can’t until the republicans are voted out
Microsoft has come out with this certification

https://learn.microsoft.com/en-us/certifications/azure-ai-en...

I don’t know how good it really is but there is very little like it right now so that would be a reason to go for it.
Does a corporate conspiracy need to exist to explain a discrepancy in pay between genders?

From article:

> But pay inequality was even visible within the same field of study: Of the majors with the most paid internships — engineering, physical sciences, mathematics, computer science and business — only 73% of women earned pay for their internship, compared with 86% of men.
I got it the same place you got your long discursive answer to my only point, where I was simply saying "the copying is not theft because you still have your copy" argument is not adequate to explain the disagreement over scraping.

don't worry, we don't "gotcha" here, we got you, brother!
LWN coverage of the LSFMM session that led to this decision: https://lwn.net/Articles/932201/
No we’re logical. Did a 20-30year old looking at a monitor screen maybe get stumped? Or it’s aliens. What’s more likely?
Zero. I've never read it to this day. Eric Foxley's Unix for Superusers, on the other hand ...

Foxley's book was published in 1985. By the middle 1990s there were tonnes of books being produced, none of which was really "the bible", unless you counted ones that had "bible" in the title, like the Waite Group's "Unix System V Bible". (-:
If you think race isn't a social construct, you're either American or you don't follow US sports. Some US athletes that are considered 'black' or 'African American' would be considered Caucasian here (Patrick Mahomes is a great example).

I know a white supremacist, overtly fascist (that is otherwise a fine friend) who has a black great grandfather. He'd be considered black in the US.
As other people, I really think this is a great piece of software, but I didn't ser any way of reusing hurl file in anothers? For intégration testing, this would be much more cleaner
Go itself, or any other language won't give you too much of an advantage. What gives you advantage is trading algo, which is always hard to find. I've spent months on figuring out the best parameters for trading. Ended up this working only on historical data, while in reality it was totally different.

I could use Visual Basic, and it would be better than Go, Rust, or whatever it is out there, given the algo and strategy are flawless. Language is just a tool. It's great you used Go, but I think the title is a bit misleading - people think of it as some kind of advantage. It isn't.

And for HFT trading a language with Garbage Collector is not a great choice IMO.
"In January, Goldman disclosed that it had lost about $3 billion on the consumer-lending push since 2020."

Looks like Tim Cook will be joining Warren Buffett in the 'squeezing Goldman Sachs' hall of fame: https://markets.businessinsider.com/news/stocks/warren-buffe...
You can export Hurl file to JSON with hurlfmt. We've done this so you can go to another tool if you prefer and convert your tests. It may be a start. The Hurl parser is also available as a library through Rust crates.
This detail of an in kernel allocator isn't very important or novel, but Linux changes are easy to report on since they're done in public, so they get articles.
If you have React engineers, why couldn't you have AI engineers?

I think the post is right to try to delineate the roles of "builds LLMs or other ML models" and "uses those models", as (as you noted) the skills required are very different (vs. "creates a JS framework" vs "uses a JS framework" are the same skills, just on another level).

"AI engineer" is, as you say, inaccurate, but as swyx says, it's least cringy of the alternatives.

> Sure, you might need a few days to understand a few concepts, I've integrated with Paypal in the past and that doesn't make me a payment for engineer.

No, but the post explicitly calls out the breadth of knowledge that the future AI engineers will have to have. It's not something you can pick up in a few days, even now, if you want to be on top of things.

I can look up some docs and hook up static file hosting on S3 and that doesn't make an AWS engineer. But there are people who full time work on providing solutions using AWS-everything and have built their entire careers (and companies) on top of that specialization.

The difference in scale is the difference in job description.
I wonder how the savings kickback feature would work under Amex--I don't think they have any partnerships like that
What's Between a Set and a Sequence?
That's not what they predicted. Why would you expect it to go down? It was a one year boost in funding and the states didn't condition the funding on tuition prices.

Universities _will not_ reduce tuition without being forced to do so.
Universities _cannot_ reduce tuition without more funding.
Discharge it as much as possible before going into wooded areas, I guess?
Saturn’s Rings Shine in Webb’s Observations of Ringed Planet
> IMHO, They'd fix the student loan issue immediately if Congress passed a law to allow the debt be discharged in bankruptcy

The law already allows the debt to be discharged in bankruptcy, though it sets more difficult terms than for debt generally.
Agreed. Linguistics and etymology are fascinating to me, so I try to pick up what I can. Some things are hyper regional, especially accents. Philadelphia and Pittsburgh sound nothing alike, for example.

I didn't intend my comment to mean it doesn't exist, more that if it does, it's probably a very regional thing, based on not having heard it in the various cities I've lived in.
Companies iterating so quickly on their products might be their biggest weakness. Since its release, the Steam Deck hasn't been improved by releasing the Steam Upper Decker, but by a constant stream of software improvements, both to the OS, and also Proton. I know my device won't be handicapped by a replacement in six months.
The value of some places is the very fact that they're low density. I don't think that applies to strip malls necessarily, but this is why people come out strong against upzoning suburban or rural areas. The people that live there like it the way it is, and you can't give more people that experience as more people ruins what's good about it.
Red Hat never called anyone "freeloaders" in any of their blog posts.

Also, there is nothing wrong with making people pay for free software. That is explicitly in the philosophy of free software and the GNU Project.

> Many people believe that the spirit of the GNU Project is that you should not charge money for distributing copies of software, or that you should charge as little as possible—just enough to cover the cost. This is a misunderstanding.

> Actually, we encourage people who redistribute free software to charge as much as they wish or can. If a license does not permit users to make copies and sell them, it is a nonfree license. If this seems surprising to you, please read on.

Read more: https://www.gnu.org/philosophy/selling.en.html
https://news.ycombinator.com/item?id=34674569
> When an AI automates a task and leaves a human jobless, this is selfish behavior without any intent.

How is this "selfish", and who, in this case, is the self?
I mean, I consider myself an effective "AI Integration Engineer" but I _have_ done an Andrew Ng ML Coursera course and also built a MLP in C++ from scratch. But none of that really matters when it comes to applying something like GPT or Stable Diffusion to a particular application. You just send appropriate text to a model via an API call.

I think "AI Integration Engineer" is a bit more of an accurate title because usually it's about integrating AI into existing products or domains. And "AI Engineer" by itself sounds a little bit like you might be claiming to be a PhD. But just a bit. I think it's fair enough to shorten it to AI Engineer though so we don't all have to type out "integration" over and over.
I get your point but let's keep in mind that the AIs that we have today are a result of our world, they are trained with data expressed by humans, their input is human thoughts, emotions, and everything in between. So there is some kind of religious element to it I would say; AI is made in our spirit. And if you think about it, it could only be made out of OUR spirit. If we accept this, then you will have answers to your questions.
That job title is just a meme.

But if you want prompting experience with whatever work you do, just play with Stable Diffusion and LLaMA finetunes.
Edit:

Actually... what if you broke the grid up in to N by N blocks, and simulated 2N half time steps (each decreasing the side length by 2) of that block? You'd need to do a similar sort of chess grid over the blocks, and emit like "partial outputs" from each block, then run a pass going the reverse direction, consuming the partial outputs and initial inputs.
This way, you can fit a block entirely within a cores L1 for N time steps, and naturally get parallelism by simulating multiple blocks at once.

You should be able to simulate N time steps like this with just 2 loads of the data (program and state) instead of 2 * N.
Readwise looks really good, but I have a hard time understanding the value proposition. For the full application with the Readwise Reader it is 9 dollars a month. Then again its certainly worth more than a blue check-mark.
I love finding other people who enjoy the pure feedback loop of code, strategy, and money that trading provides for me. I’ve been working on timing and correlations between stocks and indexes as a source of alpha and having some success. Now trying to automate the process and absolutely loving the work along the way. Not trying to play market maker and not jumping between stocks. Instead honing in on an accurate model that monetizes a few really well. Some tools I find useful: TradingView and Pinescript indicators and strategies, excel models with exported data for backtesting, Python and Go for the backend machine learning, ChatGPT for faster iteration on new code. Would love to talk shop if you guys are interested: trading @ dianazink.com
Reading Hagakure (Japan, 1716) really helps putting things into perspective here: Even back then the author complained about moral decline. And in the author`s eyes the sad low point of this degeneracy is the trend that the young lords won't e
Perform their beheadings themselves anymore...
"pre-profit" indeed...
> Which means that it costs them $1 to produce every $1.23 of soda that you purchase.

That's not correct. The $1.23 you pay at the store includes wholeseller/distributor and retailer margins. The wholesale price of that soda is maybe a quarter of the retail price. So for Coca Cola the bottle the production cost and shipment to a distributor was less than 20% of the retail price.
I spend a LOT of time sharpening my axe and can't imagine why anyone would choose to use an unsharpenable hatchet with a stubby handle.
Storing and streaming is an expensive model, and the subscription price is a premium in the majority of the world. It’s actually impressive that so much content (both incredible and bad) is available, for “free” to so many.

I’m an ideal world there would be no ads, but we don’t live in one.

If you have such disdain for ads you should probably pay the premium or not use YouTube.
I'll admit I only read this book after I heard Assassin's Creed was based on it. I remember it being a fantastic read, a lot of the philosophical notes of the first AC game come straight from the book. I still think about it occasionally, so you could say it stuck with me.
The most embarrassing code I have ever written is the only thing on my public github. Everyone writes shit code at one point or another. Most people even have that fun experience where you openly mock some terrible code only to git-blame and see your own name.

If you have never been embarrassed by your code, you probably haven't stuck around at a single job long enough to see it cause problems.
This is a common attitude, and an understandable one, but it’s very much at odds with the research. There are more studies and discussions, but this is one of them highlighting how this is a nothing burger

https://www.levyinstitute.org/pubs/rpr_2_6.pdf
You could say the same about things like SREs or Devops. In fact, many of them transitioned from regular "software engineer" to these roles simply by learning closely related skills.

That won't stop the industry from inventing new, useful titles.
What about the Darwinian argument for worrying about things one can control?
Isn't the kernel USASCII-only (POSIX charset)?
Yes.

This is crypto we're talking about here, there's really no guardrails.
A liaison of these "investors" found me somehow. I can only hypothesize it was through HN.

And yes I was tempted. I also don't have any trading credentials. I'm simply a senior programmer with an eye for details who always wanted to try his hand at algorithmic trading. So yeah, I got hooked. :(
The stock market's gains are almost concentrated in the 'Magnificent 7
> Math isn’t empirical: it’s assumed axioms which define a formal system.

There are mathematicians who would disagree. They would say that math is discovered, not invented and that axioms don't actually matter. They would also say that mathematicians may study axioms using mathematical methods but need not base their methods on axioms or formal systems. They would say that you can switch out your foundations and have the same math for all purposes you care about (if you don't care about axioms).

While I don't agree with everything there, I think they definitely make a point that's worth thinking about. For example, very few mathematicians would be able to spell out from memory "their basic axioms" (maybe ZFC, category theory, etc., maybe they don't even know or care, or switch depending on context). Now why is that? Their work is so far removed from foundations that they don't have to care. They will rightfully demand that their theorems and ways of reasoning be supported by the axioms. Beyond that, you can tinker and change them all you please. They only need a small part of your foundations to do their work. Crucially, most of them wouldn't "waste" their precious time on e.g. "formalizing that minimal foundation".

Maybe one could view foundations as a bunch of programming languages where using the high level features looks indistinguishable and almost noone uses the low-level. I think this intuition strongly suggests that eventually computers will win and all mathematicians will use proof systems (maybe without even knowing how they work under the hood). That is, until maybe the machines surpass their reasoning ability so much that humans are obsolete in that space.
Part of the reason youtube ads are so annoying is that many of them are played at random times while you are watching a video. There is no smooth transition to the ad. When watching news or sports on television the announcers will say "And now we're going to a commercial break" and they play some outro music. Then they play some music to welcome you back.

When watching a sitcom or drama the script writers plan in the commercial breaks where you would have the different acts in a play. They are natural stopping points to take a short break.

Youtube ads are just random interruptions.
A whale of a tale.
I think the point is that this is a self-fulfilling prophesy. There isn't much airplay, which makes the industry invest less in women artists, which in turn means there are fewer songs by women available to play, thus less airtime.

I would agree that it's not ideology driven, but there is a large risk that the stations are trapped in a local minima. Without more diversity of programming (and ownership), it's hard to know if the old rules are the most profitable rules. With media ownership consolidation, it's harder to add enough entropy to the system to really know.
Hey, I write this. I did program this in Go. The reason is that it's my go to programming language. Using it is actually a disadvantage in that the industry uses C++ and Python but that's just what I know how to program in. I wasn't trying to be misleading. Go does work really well for taking in data, doing something with it, and then calling a remote API. So, it actually works really well but if you wanted to get a job based off this it probably wouldn't help you.
Noted, I'll try to make it clearer. We’ve been more explicit on the samples page [1]

[1] https://hurl.dev/docs/samples.html
Because if they don't, their competitors will, even if those competitors are overseas in a more lax environment.

Either IP laws will catch up, or the countries with better IP laws will become more competitively successful.
I don't know, to me this has been the least insightful comment so far. I don't even know what you are complaining about.
My thought on what an AI engineer is; an individual who uses AI and machine learning techniques to develop applications and systems that can help organizations increase efficiency, reduce costs, increase profits, and make better business decisions 1 .

AI engineers play a crucial role in helping enterprises leverage the capabilities of large language models (LLMs) like GPT-3 and beyond, this means that they will,

“Develop Domain-Specific Models” AI engineers can fine-tune LLMs to create domain-specific models to ensure that the data and the business process align to provide more context. For example, a model fine-tuned on medical literature can assist doctors in diagnosing diseases or answering patient queries, ect.

“Data Preparation and Management” By this, I presume they will be involved in cleaning the data, dealing with missing or inconsistent data, and ensuring the data is representative of the task the model will be performing.

“Integration with Existing Systems” they will help integrate these AI models into the existing IT infrastructure of an enterprise. This can involve developing APIs, designing user interfaces, and ensuring the model's outputs can be used by other systems or processes.

Etc… I believe that they enable organizations transform data into knowledge and ultimately, into wisdom - the highest level of data maturity. This is particularly true when dealing with domain-specific models, which can provide highly targeted and context-specific insights. When you can reach a level of data maturity that enbles actions on data, this is where AI will drive the change that is just starting. It’s very exciting to watch it unravel, not because of the possibility of generating a sentient machine, but with the possibility that will drive new fields of discovery that has been under our noses, and these tools will help us make sence of it all, IMHO.
The spirit of copyleft has no weight in a courtroom. If people are unhappy with the way Red Hat is legally using the GPL, we need better licenses.
But you see how they conveniently leave out which positions they worked for in those fields. So yes there has to be some sort of corporate conspiracy to say that the same position for a woman pays less than the same position for a man with the same experience level and the same job output.

And I have never encountered any data that shows that it's real. All the data shows is that women make different choices than men because engineering and physical sciences and mathematics are all very broad with a large number of positions that fit in those categories that pay differently. And different positions appeal to different people and different personalities and we know that men and women have different personalities.
> they will just discontinue their access to hardware

Yup - which is exactly what is going on in the cloud space right now.

Because AWS and GCP chose to innovate with their own accelerators, Nvidia heavily favoured Azure for a while. Recently, GCP seem to have capitulated somehow and so are back on the bandwagon. Oracle, of course, never had any hope of success in cloud without leaning on some form of non-technical manipulation, which is why they were the first on board with DGX Cloud.

Sadly I don't see AMD as the solution, since they too have associated themselves more with Azure than the other clouds.