skysight-inc/HackerNews huggingface dataset:
‘ On Wednesday, some of the people who posted about the gift card said that when they went to redeem the offer, they got an error message saying the voucher had been canceled. When TechCrunch checked the voucher, the Uber Eats page provided an error message that said the gift card “has been canceled by the issuing party and is no longer valid.”’
What's so hard about constexpr allocation?
Dumb question, how do you fast forward it on mobile?
In biology, you'd call that a cancer. But to people praising the gospel of VC money, it's something desirable...
3.5 sonnet is the quality of the OG GPT-4, but mind blowingly fast. I need to cancel my chatgpt sub.
I was under the impression that you could more or less do something like that with the existing LLMs?

(May work poorly of course, and the sample I think I saw a year ago may well be cherry picked)
> 2GB so hardly useful

I used to buy 2GB drivers all the time. The only reason I stopped is because it's hard to find anybody selling them.

It's plenty of space for a portable drive, it's enough for a Linux installation, it has lots and lots of uses.

But I wouldn't buy a 2GB driver that pretends to be larger. At least not willingly.
indeed. I pointed out in https://buttondown.email/ainews/archive/ainews-llama-31-the-... that the frontier model curve is currently going down 1 OoM every 4 months, meaning every model release has a very short half life[0]. however this progress is still worth it if we can deploy it to improve millions and eventually billions of people's lives. a commenter pointed out that the amoutn spent on Llama 3.1 was only like 60% of the cost of Ant Man and the Wasp Quantumania, in which case I'd advocate for killing all Marvel slop and dumping all that budget on LLM progress.

[0] not technically complete depreciation, since for example 4o mini is widely believed to be a distillation of 4o, so 4o's investment still carries over into 4o mini
>For example, has anyone ever attempted image -> html/css model?

Have you tried upload the image to a LLM with vision capabilities like GPT-4o or Claude 3.5 Sonnet?
Syncthing is one of the only sync solutions suggested here that doesn't use third-parties.
When I see this "© 2024 [Company Name], All rights reserved", it's a tell that the company does not understand how hopelessly behind they are about to be.
Ask HN: How do you predict the AI will evolve in 2, 5, and 10 years?
I'm curious about the community's predictions for AI. How do you envision the AI landscape changing in the next 2, 5, and 10 years, particularly regarding Large Language Models (LLMs)? What key milestones or breakthroughs do you expect in each timeframe, and how might LLMs advance or be applied differently? What potential new applications you think will emerges soon?, and how you think AI might transform various industries and our daily lives.
Meta just claimed the opposite in their Llama 3.1 paper. Look at the conclusion. They say that their experience indicates significant gains for the next iteration of models.

The current crop of benchmarks might not reflect these gains, by the way.
Yeah, that’s what I was thinking the goal was. It is with that in mind that I say I don‘t think it’s practical. I would never want to navigate files in this manner. It’s too disjointed and fluid, and consumes more CPU than I’d like. It’s hard to pin down something.

Then again, it’s perfectly valid that I’m not the target user. There are plenty of people who don’t understand traditional file systems. I wouldn’t use it, but if you like it then there’s bound to be more people who will.

It’s certainly original and you’ve got my upvote anyway. I wish you the best of luck!
Defguard looks great, it's got a similar architecture (local first, with a vpn) and your feature list looks like my todo list!

I could see recommending this product to others!

You have a few features that surprised me, like support for "authentication with crypto software and hardware wallets". This seems like the sort of thing a business would never need. Did you have users agitate for this feature? Or is it a direction you're trying to steer clients?

Overall, nicely done, I wish I'd known about this when I started!
To be fair Reddit threads are more and more often getting filled with useless AI generated crap as well.
That's true for SAML2, but not SAML1 - not that anything should be using SAML1 these days.
I think GPT5 will be the signal of whether or not we have hit a plateau. The space is still rapidly developing, and while large model gains are getting harder to pick apart, there have been enormous gains in the capabilities of light weight models.
Google has updated the Android default Messages app to catch and handle reactions from iPhones for almost two(?) years now, and you can message from any browser you are logged into. There is also an equivalent for find my in your Google account: https://www.google.com/android/find. The lidar thing sounds cool though.
You didn't understand and jumped straight into hacker mode. It's not really about sticky headers, it's about accessibility and serving users. Any implementation would need to take security into consideration.

This kind of integration would also be an improvement for web apps.
This is probably related to another article about SAML from yesterday:

https://news.ycombinator.com/item?id=41036982
Almost all cheap opamps on aliexpress are LM358 or similar supercheap bipolar design, no matter what's marked on the package.
In Singapore, You Can Buy Meat Grown in a Lab
To be fair MSFT investments with credits into OpenAI is also almost market distortion. All the investments done with credits posing as dollars has made the VC investment world very chaotic in the AI space. No real money changing hands and the revenue on the books of MSFT and AMAZON is low quality revenue. Those companies AI moves are overvalued.
Benchmarks scores aren't good because they apply to previous generations of LLMs. That 2.23% uptick can actually represent a world of difference in subjective tests and definitely be worth the investment.

Progress is not slowing down but it gets harder to quantify.
95% of this article is about the distinction between police powers for health and safety and the broader takings allowed by Euclid.
This is already what the chinchilla paper surmised, it's no wonder that their prediction now comes to fruition. It is like an accelerated version of Moore's Law, because software development itself is more accelerated than hardware development.
p is the chance that you would have gotten this result if the null hypothesis were true.
When using a prompt that involves thinking first, all three get it correct.

"Count how many rs are in the word strawberry. First, list each letter and indicate whether it's an r and tally as you go, and then give a count at the end."

Llama 405b: correct

Mistral Large 2: correct

Claude 3.5 Sonnet: correct
Given how absolutely pitiful the proprietary advancements in AI have been, I would posit we have little to worry about.
> It seems increasingly apparent that we are reaching the limits of throwing more data at more GPUs;

I think you're just seeing the "make it work" stage of the combo "first make it work, then make it fast".

Time to market is critical, as you can attest by the fact you framed the situation as "on par with GPT-4o and Claude Opus". You're seeing huge investments because being the first to get a working model stands to benefit greatly. You can only assess models that exist, and for that you need to train them at a huge computational cost.
That's a thought I had. For example, could a model be trained to take a description, and create a Blender (or whatever other software) model from it? I have no idea how LLMs really work under the hood, so please tell me if this is nonsense.
Hmm. The title was supposed to be "YouTube Player app in your browser".

Why was the word "your" replaced with "the"?
Ok, which one?
The Many Lives of Null Island
Too late to edit:

Since mid nineteen century, most paper is acidic. It's cheaper but it slowly self destroy https://en.m.wikipedia.org/wiki/Acidic_paper

Older parer and non acidic paper survives better.
All of the multi-modal LLMs are reasonably good at this.
In 10 years, AI and LLMs will be a joke on The Simpsons in the same way they made fun of the Palm Pilot and cryptocurrency.
Interesting that this was published in a bioinformatics journal.
You can also access your messages from the browser: https://messages.google.com/web/welcome
>Attention Is All You Need paper detailing transformers, and it would be an entirely different market if Google had held that as a trade secret.

I would guess that in that timeline, Google would never have been able to learn about the incredible capabilities of transformer models outside of translation, at least not until much later.
I think it's not unreasonable to expect that a perf-focused distro would perform poorly on old hardware. But I also think that a double digit percentage of the included window managers shouldn't fail, and the install shouldn't fail, and the system should reliably get through the boot process. In fact, the author of the article really didn't complain at all about the performance, they complained that the distro has rough edges that shouldn't really exist on any hardware.

That said, I'm not sure what the author of the article was trying to do by testing this distro on old hardware. Even assuming the rough edges didn't exist, how useful is it to know how well it runs on hardware that's old enough to be in middle school? This is clearly not a distro for people with old hardware, so what reader is the author trying to reach? At best they were hoping it would breathe new life into the device (but it's pretty clear that's not what it was meant to do) and at worst they were looking to publish a "gotcha" article about how the distro didn't live up to the expectations.
All Humble Games Staff Reportedly Laid Off as Publisher Announces Restructuring
> Can we extend the analogy to integration?

Dumb idea: Unzipping?

Differentiation takes as input the overall structure and extracts the behavior at a certain location. Integration takes the behavior at many different locations and returns a coherent picture of the overall structure.

I'm struggling to picture the math. Does this work the way I envision?
SpaceX just stomped the competition for a new contract–that's not great
The xenophobic origins of zoning law is a cautionary tale for today.
"I got mine, screw the rest of you"... but sooner or later "your" tribe becomes one of the "other" tribes.

Lots of this attitude in society still, guess we'll never learn.
Due to the fact that LLMs work on tokens and not characters, these sort of questions will always be hard for them.
They serve a different robots.txt to Google: https://merj.com/blog/investigating-reddits-robots-txt-cloak...

You can see it here: https://search.google.com/test/rich-results/result?id=_mYogl... (click on "View Tested Page")
Pay for a developer account, since without it you can't feasibly sideload the good apps.
London has high air moisture. All the oils and water from floor board would get through right to paper. One cleaning with a mop...
The EU hasn't made it hard to release models (yet). The EU has made it hard to train models on EU data. Meta has responded by blocking access to the models trained on non-EU data as a form of leverage/retribution. This is explained by your own reference.
To be fair, Reddit has plenty of astroturfing, too.
The police are more than happy to have you sit outside in the cold/bake on the pavement/shine excessively bright lights into your eyes/scream un-followable directives at you/deny you the use of bathroom facilities, etc... while 'conducting an investigation'. The internet is RIFE with videos of beat cops using tactics that could certainly qualify as informal psychological or physical torture, or in some cases, literal formal torture (look up Rankin County Goon Squad).
It's a smart move. Word gets around (slowly) that if you don't fuck with Drake, he'll let you live and be on your way, just a little bit lighter
If I'm ever part of a company that causes an outage like this I will resign immediately and offer to help as a consultant for an immediate 5-figure cash retainer. I can't imagine how many devs at CS likely went into full overdrive and aren't getting paid for it.
Siemens Patches Power Grid Product Flaw Allowing Backdoor Deployment
So there will be a day were I can fire up my favorite bittorrent client and illegally allow others to obtain copies of US law? Bring. It. On.
I think they were referring to the form factor not the price. But even then the price of four laptops is not out of line for enthusiast hobby spending.

Ever priced out a four wheeler, a jet-ski, a filled gun safe, what a "car guy" loses in trade in values every two years, what a hobbyist day-trader is losing before they cut their losses or turn it around, or what a parent who lives vicariously through their child and drags them all over their nearby states for overnight trips so they can do football/soccer/ballet/whatever at 6am on Saturdays against all the other kids who also won't become pro athletes? What about the cost of a wingsuit or getting your pilots license? "Cruisers" or annual-Disney vacationers? If you bought a used CNC machine from a machine shop? But spend five grand on a laptop to play with LLMs and everyone gets real judgmental.
4o will get the answer right on the first go if you ask it "Search the Internet to determine how many R's are in strawberry?" which I find fascinating
Which is good background to this story about Reddit locking down robots.txt and trying to get money from the AI teams scraping their content.

https://news.ycombinator.com/item?id=41057033
It’s like the ai generated version of index funds.
School gets an F for using facial recognition on kids in canteen
A word of a warning if you have folders with _a lot_ of files.
I personally feel that this kind of "exclusive search only by Google deal" should result in an anti-trust case against Google. This is the kind of abuse of monopoly power that caused anti-trust laws to be passed in the 1890s.
that is awesome but I can't open old.reddit.com in my browser so its a non-issue.
You kids with your newfangled "@" and "." emails. Looks like line noise. What is this, APL?
> Even more onerous, if it isn’t built into your language core like JavaScript/node.js, adding it later means modifying your entire runtime, libraries and codebases to understand it.

Interestingly, while this has proven true of async/await for many languages it has not at all been true for perl.

The pluggable keywords feature lets us register 'async' and 'await' with the parser as (block scoped) imported keywords and with a little suspend/resume trickery you get https://p3rl.org/Future::AsyncAwait which I've been using happily pretty much since it was released (generally operating on https://p3rl.org/IO::Async::Future and https://p3rl.org/Mojo::Promise objects, often both in the smae process).

I even wrote https://p3rl.org/PerlX::AsyncAwait as a pure perl proof of concept later on, which injects computed gotos as resume points ala the switch/case trick you can use for resumable functions in C (nobody should really be using that one, mind, I wrote it to prove that I could and as potential fodder for https://p3rl.org/App::FatPacker usage later).

I do very much appreciate there are a lot of reasons one might dislike perl (I've been writing it long enough my list is probably longer than most naysayers') but its sheer malleability as a language remains unusually good.
>> Gear preference in cycling isn't the same as wanting to change the rules of track and field or gymnastics.

Anectdotal evidence to support this.

Specialized had pretty high end helemets for cyclists, but for some reason, the Italian riders would also complain about them. They finally got some of the Tour riders together to try and figure out what they could to do solve this issue.

To me, it was pretty funny. They complained that the straps that came down on both sides would lay on their face and cause tan lines. I'm not kidding, this was a major issue and Specialized changed the straps so they were embedded in a way that hung off the riders face so it wouldn't cause tan lines.

You had to show people how cool it was, it was such a minor thing, but to these guys, it was a big enough problem they actually solved and then put into their high end helmets.
In the US, the official Omnipod 5 with Dexcom G6 closed loop solution is also available, starting early this year I think. My wife prefers her DIY AndroidAPS setup with Omnipod Dash and Dexcom G7, though, because the G7 allows you to warm up a new sensor when the old one is still active, so she doesn't have any gaps in her data.
It's a deliciously insulting amount because it's not quite enough for a meal on Uber Eats.
I don’t understand how this isn’t anti-competitive behavior. It seems like reddit has to offer this deal with similar terms to google’s competitors.
I'm not saying it's not bad for competition.

I'm saying the blame is 100% with Reddit.

Blaming Google for accepting it makes no sense. That's like if a shopper goes to grocery store and buys an expensive $20 piece of cheese, and other shoppers can't afford cheese that pricey, and you're blaming that one shopper for buying it because it means other shoppers can't also get the cheese without paying for it. That doesn't make any sense. The store set the price, and they're the one to blame if other shoppers can't afford it.

If Bing, DDG and others can't reach a deal with Reddit, that has nothing to do with Google.

Again, blame here is 100% on Reddit, and 0% on Google. To assign blame to a purchaser in a case like this doesn't make any sense.
Agreed, but there are other costs associated with supporting 10-16x GPUs that may not necessarily happen with say 6 GPUs. Having to go from single socket (or Threadripper) to dual socket, PCIE bifurcation, PLX risers, etc.

Not necessarily saying that Quadros are cheaper, just that there's more to the calculation when trying to run 405B size models at home
The question I (and I suspect most other HN readers) have is which model is best for coding? While I appreciate the advances in open weights models and all the competition from other companies, when it comes to my professional use I just want the best. Is that still GPT-4?
My parents taught me to stay away from smoking and drugs. It didn't really work. The facade collapsed when I realised that actually a lot of people use all sorts of drugs recreationally with very limited adverse effect. And that they can be extremely, life alteringly fun in a way no prohibition lecture captures.

Obviously there's plenty of downsides too - but the idea that a stern lecture or twenty will stop kids taking drugs is kind of laughable.
EPA's interests in regulating land use are much more squarely in the police powers carveout than the zoning regulations that limit the number of occupants on a residential parcel.

If EPA says you can't build a dam or otherwise alter the watershed that overlaps your land, they have a clear rationale for that regulation that goes beyond "protecting the charm and character" of a particular neighborhood.

Just overturning the decision that says occupancy density is itself a police power would be narrow enough to ease building restrictions while not blowing the EPA away.
Back when I was getting my econ degree, we were taught about the Ultimatum game, which goes like this: You get two participants who don't know each other and will (ostensibly) never see each other again. You give one of them $100, and they make an offer of some portion of it to the other. If the other accepts, both parties keep their portion - so, if A offers B $20, and B accepts, A keeps $80 and B keeps $20, if B rejects, both parties get nothing. Standard economic theory suggests A can offer $1 and B will accept, because otherwise B gets nothing. Spoiler for those of you who haven't seen how standard economic theory plays out in real life, that's not how the game went - typically, offers below ~$30 or so got rejected, because B was a real feeling person who felt like they were getting screwed and opted to punish A for doing so. The exception to this - the people who would take the $1 offer - were people who had been taught economic theory. It turns out you _could_ screw them over and they'd pat themselves on the backs for being very wise.

The "tragedy of the commons" is another one of those parts of standard economic theory that never actually played out in reality - we've got examples from all over the world of communities implementing practices and often entire belief systems that led them to be responsible stewards of shared resources without requiring unilateral ownership of that resource and singular acquisition of the benefits of that stewardship, and yet first on the lips of every modern capitalist when describing why they're at a disadvantage if they're not the ones polluting the water supply is the tragedy of the commons.
Agreed - and thank you for updating.
4 billion dollar+ outage... $10 at a time (joy emoji) (clown emoji)
Seems analogous to the effect of echo chambers on humans
Driving fast is very safe, it's the sudden deceleration that's dangerous!
> Because I believe those work like smartphone fingerprint scanners, you enroll on the device and it’s just a hash.

"Probably X, but depends on the implementation" isn't very reassuring.

I, on the other hand, worked at a gym where members checked in with fingerprints instead of cards. Full scans showed on the till screen when people came in.
My personal experience says Claude 3.5 Sonnet.
The following quote is taken from the CrowdStrike blog post linked in the article:

>Based on the testing performed before the initial deployment of the Template Type (on March 05, 2024), trust in the checks performed in the Content Validator, and previous successful IPC Template Instance deployments, these instances were deployed into production.

I'm having a difficult time identifying the bottom line. They describe the high-level makeup of their software's components, making several allusions to the breaking change being "stress tested".

Given that this update borks the OS immediately, I have to assume that this micro-update was NOT deployed to a Windows system during testing.

It's not clear if their Content Validator had a bug introduced during preparation and testing of this release, or if it was an existing, unknown issue.
I hope someone with a keener eye than myself can see through the noise and provide some clarity. I hope, for their company's sake, that internal discussions are far more concise and clear as to what the actual problem is.
Tokenization make it hard for it to count the letters, that's also why if you ask it to do maths, writing the number in letters will yield better results.

for strawberry, it see it as [496, 675, 15717], which is str aw berry.

If you insert characters to breaks the tokens down, it find the correct result:
how many r's are in "s"t"r"a"w"b"e"r"r"y" ?

> There are 3 'r's in "s"t"r"a"w"b"e"r"r"y".