skysight-inc/HackerNews huggingface dataset:
Calibre have build in newspaper/magazine/site scrapper.
https://calibre-ebook.com/
Would be interesting to create a plugin for hackernews.
My left eye is in bad shape and have family history of retina detachment.
I also start migrating to e-reader.
think about e-ink monitor
https://onyxboox.com/boox_mirapro
They won't be used in your business and your business will be less efficient until the regulations change or you end up competing with someone who is willing to ignore the regulations. Also, there are lots of countries without as stringent regulations, it’s not about the inefficiencies that are gone that is the problem, is it about the efficiencies that are created that is the problem. This is a country to country issue, not a business to business issue.
I had both. I switched my personal to the Sanford credit union (I don’t keep a lot of cash in my account anyway).

I’m not sure what to do about my startup’s account though. Chase doesn’t seem to understand startups anyway — you’re a small business or a big business. For the company’s money I want someone who gives a shit.
I work in banking. Every single country has stringent regulations in this sector.

And fine grained access control is a foundational data governance issue for every enterprise.
>Trees have to be big, strong, lightweight, and bendable. Homogeneous materials won't work for that application.

Why wouldn't titanium work for that application? (Assume that somehow the plant can move nutrients and fluids around some other way.) Or even steel, as long as it's not solid? Obviously, nature can't produce hollow steel tubes, but lots of metals satisfy your requirement list here.
Good question, I'm working on exactly this, I suppose you could call it the replacement of RAG.

It's actually not very easy to achieve this. I could give a very long winded answer (don't tempt me) but suffice to say it's a resolution problem.

All AI have a fixed resolution on creation. Long running tasks focus on a very particular narrowing space per step, the resolution required for an infinite task is infinite resolution.

No 9s of error will ever fix this.

Funny enough, small animals do this with ease so I strongly disagree the idea that our AI outcompete even small mammals in every way.
> $3600.00/TB/month

It doesn't have to be that way.

At Hetzner I pay $200/TB/month for RAM. That's 18x cheaper.

Sometimes you can reach the goal faster with less complexity by removing the part with the 20x markup.
This is very fun. Solid idea lol
Betteridge's law of headlines honorary mention.

Edit:

I consider this being flagged as grossly unjust as the original headline has a Can ... ?

The fact of the matter is that it is absurd to think that the England (UK) can be anything be a diminishing nation.
hard agree, it sucks immensely that I can design a cool 4 layer PCB with multicore processor in an afternoon, throw on a standard bluetooth module, and have it manufactured and shipped to me in a week for like $100, but heaven forbid I want to sell five of them to fellow nerds on a niche forum without breaking multiple laws, and the path to compliance is, uh, find a consultant with EMI testing experience and industry connections and/or spend $5000?

and then amazon is full of absolutely noncompliant untested stuff with no consequences
Our desire is to provide a general test-running and job-running framework, not to built the world's next test runner. We think nextest is great, and we were inspired by some of the things they did.

We've designed Maelstrom to be usable as a library. So you can build your own test runner or job runner. We've been in contact with Rain, the primary developer of nextest, regarding how we can make it so that nextest can use Maelstrom. We'd love nothing more than to have nextest be Maelstrom-ized (Maelstrom-ified?).

We definitely have a little bit of work to do, but we plan to make big steps with the API for the next release. Currently, the client library doesn't give per-test updates until the test finishes. This means that you don't know how long a test is taking to run until it's completed (though we do provide a timeout feature). This is fine for our currently limited UI, but is probably insufficient for nextest.

Maelstrom in standalone mode running on a single machine is usually a bit slower than nextest. Maelstrom and nextest are similar in that they both run each test in their own processes, and they both do a good job of running enough test processes in parallel to keep the machine busy. Maelstrom has to do a little bit more work each time it starts a new process to set up the namespaces, so it's always going to be a bit slower than nextest, but not by much.

One thing that Maelstrom does that I don't think nextest does is to use Longest Processing Time First (LPT) scheduling (https://en.wikipedia.org/wiki/Longest-processing-time-first_...). When the runtimes of tests varies a lot within a project, using LPT can result in big wins and more predictable runtimes. Maelstrom itself actually has some pretty long-running integration tests, and once we added LPT, running Maelstrom tests on Maelstrom is usually faster than running them on nextest. But again, we're not talking about huge differences in single-machine cases.

I think cargo test is usually slower than both Maelstrom and nextest for the reasons described in the nextest documentation: cargo test doesn't always keep enough test threads running to keep the machine busy. However, if you have a lot of really small tests all in a single crate, then cargo test can and does outperform both Maelstrom and nextest. The clap project (https://github.com/clap-rs/clap)is a good example of this.

I think Maelstrom does most of the performance things that nextest does. However, nextest obviously has a lot more features and integrations than Maelstrom.
Great set of photos, but man do I wish they had been able to capture just the sheer flow of people during busy times through the stations. These pictures don't do it justice.

Being part of the hundreds of thousands of people walking through Shinjuku at any point in time is something else you are merely a fish in a stream.
Access-Control-Allow-Methods – DigitalOcean Documentation
I think hallucinations are actually the sign that LLMs are far closer to a real brain than we realize.

I think hallucinations are a major unsearched gateway to AGI.
As a hiker/outdoors person, materials evolution has been a fantastic improvement in so many ways. Even lightweight traveling.
> your average 15 year old

What's the point of this restriction? It really just presupposes the limitation of LLM, so that any negative points would look moot.

EDIT: Also, I tried to discuss this very specific point w/ GPT, but it didn't really "get" it. 15-year old kids would be able to follow through.
Japanese called it Sony Timer...some call it urban legend but this seems like yet another independently verified data point
I promise you that your brain is doing more than what an LLM does.
> JavaScript largely forces you to clone data between threads.

Isn't that what SharedArrayBuffer is for (avoiding)?
Should this be a "Show HN" post?
Nonsense. You can't even define some of those words or know how to measure or identify them in humans. Well, foreign language learners do "reading comprehension tests" but an LLM can already ace that and it's not really the same meaning of the word.

For reasoning you can write out the logic of your reasons, so there's that. But that's absolutely not required for AGI. People can already go a long way (often further than by reasoning) on intuition alone without being able to explain how they reached their conclusions.
Is there much evidence that the brain is doing very much other than what a transformer is working its way towards? Either way, doesn't much matter because you are not your brain, you are a spirit inhabiting a meat sack, brain is just one of the meat sack components.
Lol, you hear yourself right now.

NYT site is fast, but is broke as hell. Even turning off uBlock it downloads 10mb of assets before the fold and still doesn't work.

This is more salt of the earth reality, maybe you're projecting the snooty nose-in-the-air boutique'ness of React.
> Can the UK go back to being the richest country in the world?

The original title is a question, not a statement.
If you mean LLMs today: Write code that works. More than 100k tokens worth.

Learn something without a megawatt hour of power.

Read a novel and talk about what it really means.
At this point I’m willing to short ANY traditional company that is pivoting to use “AI”. I firmly believe not using AI is the more efficient route, anything else just invites bloat
Homemade Tape Head
Can you write out acronyms RPI and CUPS
It's $400 for a home license; $1,800 if you're a company for Mathematica. Given the work that's fine into it, if you're finding it useful and deriving revenue from it, isn't it worth it to just buy it?
For that matter, if you think China ripping everyone else off is bad now… well, just wait until every company can do that.
The problem here is that the OP's statement is correct, if you qualify it more: if the composite material is appropriate for the application, and properly designed for it, it can perform just as well. If the composite material is a stupid choice for the application for various reasons, and being touted by a guy who thinks safety standards are dumb, then you get OceanGate.

Still, you have a good point: in engineering (and especially safety-critical projects), you can't just throw some composite material in there willy-nilly and expect it to work out great. OceanGate was a great example of some really stupid and reckless engineering.
I think mainly because trees are not steel plants
Hence the inclusion of the word "often" in the original sentence. There are many different types of strength - just from the get-go using carbon fiber in a sub is insane because (even ignoring the interface problem with different materials) carbon fiber is known for its strength in tension, not so much its strength in compression.
You think banking won't change? I'd surprised to hear that tbh.
no self is still a self

the diamond sutra's point aiui is that what we call a self isnt a self in that a true self does not exist independently (from the causes, such as its essential nature, its foundation, and its environment)

i might even say a self has an essential nature defined by an origin which is composed of relationships. you can find all examples in nature if you look a little.
And yet the northern muppets went and voted a Torrie government back in 2019 that took the UK out of the EU, causing a significant damage to the economy in the form of lost GDP.

Something about bicycle front wheels and sticks, under the sound of tiny violins.
Thanks for the feedback, I have never heard anyone contest the 'Lisp Curse' claim, and mostly the Lisp I've written has been small-time, so this article is not supposed to be about lisps per se, more the business impact of the idea.

But that said, obviously Clojure with deps.edn exists. Looking at Quicklisp's package manager, it looks like the packages are updated on at least a year's interval? That seems quite slow if you are looking to socialize your changes, use someone else's recent bug fix, or to defragment a project.
This is supremely cool, thanks for sharing. I'm probably missing something obvious but why would the casting be any more expensive than any other pressing?
Are separately trained models necessary for your case? As context windows get longer—Gemini 1.5 Pro now accepts up to two million tokens, and Google has talked of the goal of "infinite" context windows—couldn't a single base model be used with individualized contexts of sensitive data?
Given that copyrighting is automatic at the instant of creation, that is, um, debatable.

Slapping 3 lines in LICENSE.TXT doesn’t override the Berne convention.
A 15 year old can reason about how to move their body through a complex obstacle course. They could reason about the nonverbal social cues in a complex interpersonal situation between multiple people, estimate the mood of each person even if there are very few words being exchanged, and determine how different possible actions would affect the situation. They could learn with brief instruction how to control their muscles to climb up a rope. They could learn how to learn so that they become better at a task of their choosing. They can receive new information that permanently changes their understanding of the world. They can learn new tasks for which no massive data set of training data exists. They can perform hierarchical reasoning, like “if I want to fly from San Francisco to New York I first need to buy a plane ticket, then pack my bags, tell my family where I will be going, make sure my phone is charged, walk to the train station, etc etc.”

Also if you ask them a question they can provide you one answer with very little thinking, and then if that’s not good enough they can devote more time to thinking about the answer before they answer again. They can devote arbitrary levels of thinking to any problem depending on what is needed. They can continuously take in new data and continually update their world view throughout their entire existence based on this new information.

There’s actually a huge list of things current autoregressive approaches to AI cannot do, but they can be hard to describe and people don’t like to talk about them so many people actually don’t understand how limited the current systems are.

Here’s a great video where Yann Lecun talks about the limits of autoregressive approaches to AI with many examples:

https://youtu.be/1lHFUR-yD6I
Not really currency rates. More the private settlement between national carriers which were a bilateral peering agreement, not unlike current peering/settlement between ISPs: neither party wants to give money but loves receiving money and in many respects, I am told the USG asked the bells to use this as a way to shovel money into developing economies worldwide: Unlike every other economy, the US had no single nationalised Public Telephone Company or PTT, so there was a wierd asymmetry around this process, US foreign policy, aide money.

By turning a blind eye to some rather odd call source and call sink behaviours, a lot of cash went from the US into the national telcos overseas. Where it went after that isn't entirely clear.
oh man, this would have been so useful to have during my 2019 trip Beijing
The Syncfusion JavaScript File Manager component is a graphical user interface that manages the file system. This component provides easy navigation for browsing and selecting files and folders from the file system. You can perform the most common file and folder operations, such as read, write, delete, create, rename, upload, edit, select, and sort.

From the 2024 Volume 2 onward, the File Manager supports rendering an array of flat JSON data.
Trees did not evolve with bountiful access to titanium, but it would be interesting to ponder how they would have evolved on a metal planet
Can you use the module as a regular webcam? The thin stripe on a display bezel would look less intrusive than a regular protruding cam.
I watched a secretary take business cards and 1 by 1 copy them into our client DB last week. All day. I showed her how to use the ChatGPT app, photo of them all, and convert it into an excel. "You just saved me weeks of work this year"

Should be some fun shorting (we have over 300 secretaries alone, our support staff is massive).
The UK is "MBAs eating the world" on steroids, except they're History graduates who went to Eton. Not interested in actually creating anything or making anything. Money can be magically made by...shuffling money around. North Sea oil revenues provided a generation-long cover for this but now that's done.

Disclosure: former UK "subject".

Oh, and I forgot: allowed their country to become the "host" for Rupert Murdoch while he developed his Jedi Mind Tricks for getting folk to vote against their own interests.
On the other hand we've butchered standardized testing so hard that people report high school graduates as useless. While testing may result in test-focused learning, not testing seems to result in... not learning at all. In the end it's hard to teach someone who's not interested and we have to decide whether we want to force them.
I’m very skeptical of any future prediction whose main evidence is an extrapolation of existing trendlines. Moore’s Law - frequently referenced in the original article - provides a cautionary tale for such thinking. Plenty of folks in the 90’s relied on a shallow understanding of integrated circuits and computers more generally to extrapolate extraordinary claims of exponential growth in computing power which obviously didn’t come to pass; counterarguments from actual experts were often dismissed with the same kind of rebuttal we see here, i.e. “that problem will magically get solved once we turn our focus to it.”

More generally, the author doesn’t operationalize any of their terms or get out of the weeds of their argument. What constitutes AGI? Even if LLMs do continue to improve at the current rate (as measured by some synthetic benchmark), why do we assume that said improvement will be what’s needed to bridge the gap between the capabilities of current LLMs and AGI?
In the time since I submitted this the jerk running it at least appears to have swapped the names for fake ones, so at least they’re not outright lying about the authors. As much.

But according to a post by Christina Warren (who was one of the writers at one point) the posts still appeared to be many of the old posts rewritten with AI in some way. I wasn’t clear on the details.

Just all around creepy and skeevy as hell.
I am non-native speaker and can confirm that I can't remember how many times my grammar checker complains about my uses of "softwares" and "taxons"
The black sea a very strategic location that is 90% Russian.

Between 55-80 percent of the people in these regions identify as Ukrainian, according to the most recent census.

They may also speak Russian (to some degree), but that doesn't mean they consider themselves to be ethnically "Russian", or are desperate to be reunited with the Motherland.

It just means that Ukraine is a bilingual country.

You may want to take a serious look at what sources you are pulling such obviously misleading figures from.

And in particular: at who is presenting these misleading narratives to you, and why.
If you compiled it and the resulting binary was substantially similar to the original you’d likely get sued.
Thank you so much for posting my site!!! So awesome to see this randomly in HN. Just got the 500th user. Launched last friday

I definitely wanted to curate a high-brow community (50% of our users are in NYC/London), and the weird corners of the internet with alternative perspectives and taste. It's focused on user customization and """brutalist""" UI. the manifesto of the site is probably either going to be a turn-on or turn-off for you: https://www.literary.salon/about
> If an employee publishes source code to a product

What if that product has been obsolete for a long time? It is possible that there is no harm in an IP infringement case, whereas in property theft the amount of harm incurred is the property itself at the minimum. The amount of harm, if any, is questioned by the court.
Drawing a room without an elephant in it.
Counting the number of “r”s in “strawberry”
Venturing into the expansive world of cryptocurrency, Mymetanomics stands as a beacon of digital innovation. Backed by a community of 5000 MYMetaSharks within the dynamic Sharktank, Mymetanomics merges the digital revolution with blockchain trading, crafting a story rich in social impact within the metaverse.
Except allowing other companies to have that access results in a huge loss of security. I trust google enough to install their browser, they already do what they want with my computer, I don't really want to evaluate whether or not I trust every other random website to have that access or trust that they'll continue to be trustworthy at some random point in the future.
Show HN: Kubernetes Cluster Setup with Vagrant and Hyper-V
Daobeam – a love letter to my favorite editor theme
Thanks for the comment. Yes I should, it takes too long to load sometimes.
I remember getting surprised by one of those. I was at a friend's house and forgot to turn off the CD at the end.

It was funny at first, but when every other CD I bought had one, it became tacky.
If you're interested, the main part of the container implementation is here: https://github.com/maelstrom-software/maelstrom/blob/main/cr...

For each test we run, we clone the worker process, then make a bunch of Linux syscalls to set everything up for the container, then exec the test. We use the trick of having the child process share the virtual memory of the parent until the test is exec'ed.

We also use a technique where we build up a "program" of simple operations (each operation more or less maps to a syscall) in the parent before cloning, then evaluate the program in the child. This gives us the same performance benefits of using posix_spawn or vfork, but lets us configure all of the namespace stuff while we're spawning.

The code that's run in the child can be found here: https://github.com/maelstrom-software/maelstrom/blob/main/cr...
Gah this is the second time I got tricked into reading this entire thing, it's long, and it's impossible to know until the very end they're building up to nothing.

It's really good morsel by morsel, it's a nice survey of well-informed thought, but then it just sort of waves it hands, screams "The ~Aristocrats~ AGI!" at the end.

More precisely, not direct quote: "GPT-4 is like a smart high schooler, it's a well-informed estimate that compute spend will expand by a factor similar to GPT-2 to GPT-4, so I estimate we'll do a GPT-2 to GPT-4 qualitative leap from GPT-4 by 2027, which is AGI.

"Smart high schooler" and "AGI" aren't plottable Y-axis values. OOMs of compute are.

It's strange to present this as well-informed conclusion based on trendlines that tells us where AGI would hit, and I can't help but call intentional click bait, because we know the author knows this: they note at length things like "we haven't even scratched the surface on system II thinking, ex. LLMs can't successfully emulate being given 2 months to work on a problem versus having to work on it immediately"
If you are in the US, call your state bar, describe your legal need, and ask for a referral. Referrals are a service state bars provide in exchange for their monopolies.
Privacy-preserving attribution feature shipped on Firefox 128
From their website-"Mozilla is prototyping this feature in order to inform an emerging Web standard designed to help sites understand how their ads perform without collecting data about individual people. By offering sites a non-invasive alternative to cross-site tracking, we hope to achieve a significant reduction in this harmful practice across the web."
Perhaps it would make sense to link to the repo on the page? As best I can tell, you can easily self-host your tool (would need to update the redirects in the index.html).

https://github.com/BourAbdelhadi/awsviz
Business card scanners have been around since the earliest versions of the iPhone, but I guess thank you ChatGPT for discovering OCR
This seems wrong. Surely you can’t “Enumerate IAM Entities” with just the aAccount ID?

So if a company has a user for every dev with username first.last, you could list all devs just by knowing the Account ID?

Maybe the author misunderstood what “enumerate” means and meant to say that you can check if a given IAM entity exists under the account? Enumeration and bruteforce are very different things.
It’s hard to make LLMs ignore what they were trained to generate. It’s easy for humans.
Isn’t that an obstacle on the path to AGI?
I was doing trivial tests that demand LLMs to swim against their probability distributions at inference time, and they don’t like this.