skysight-inc/HackerNews huggingface dataset:
How time flies.
I remember I wrote a zero-knowledge AI bookmarklet that did quite well...

http://stackoverflow.com/a/23853848/632039
I think more of the issue might be the eink screens. As far as I can tell, there just aren't 5+ inch eink screens for cheap.
Very cool. What program is that?

It'd also be nice if the colour was not just day/night, but the actual predicted daylight at the time of day, which would result in a continuously changing colour.

I guess at that point, the sine approximation from OP would no longer apply, and https://en.m.wikipedia.org/wiki/Sunrise_equation would have to be used.
The economics of silicon manufacturing and Apple's own security goals (including the security of their business model) restrict the kinds of backdoors you can embed in their servers at that level.

Let's assume Apple has been compromised in some way and releases new chips with a backdoor. It's expensive to insert extra logic into just one particular spin of a chip; that involves extra tooling cost that would be noticeable line-items and show up in discovery were Apple to be sued about their false claims. So it needs to be on all the chips, not just a specific "defeat PCC" spin of their silicon. So they'd be shipping iPads and iPhones with hardware backdoors.

What happens when those backdoors inevitably leak? Well, now you have a trivial jailbreak vector that Apple can't patch. Apple's security model could be roughly boiled down as "our DRM is your security"; while they also have lots of actual security, they pride themselves on the fact that they have an economic incentive to lock the system down to keep both bad actors and competing app stores out. So if this backdoor was inserted without the knowledge of Apple management, there are going to be heads rolling. And if it was, then they're going to be sued up the ass once people realize the implications of such a thing, because Tim Cook went up on stage and promised everyone they were building servers that would refuse to let them read your Siri queries.
Thanks, I blame phone autocorrect
That neatly lines up with their actual GPU cores which are also 1024 bits wide (32 lanes of FP32) but I have no idea why they would need to go that wide in an auxiliary management core.
I'm struggling to imagine what would happen in the modern day if the US government went to war and tried to resort to WWII-style rationing. Limited meat, limited sugar, limited gasoline, a national speed limit of 35 MPH to save on tires... I legitimately think that the country would collapse.
Open-source 2nd brain for software engineers
> It’s an approach similar to how I’ve dealt with junior devs in the past.

Your experience with and approach to juniors is different than my own. I don’t ask juniors to write a single class file; I give them a design document, an API spec, and documentation for standard practices, then I work as closely with them as needed to get the results I need and the experience they need. This approach works well for me and the vast majority of juniors with whom I’ve worked because we can pretty quickly identify gaps in their knowledge so we can then provide experience and education that benefits both parties. The same approach has failed miserably for me when pairing with an LLM for anything other than trivial code-generation tasks. The models don’t learn (sure, some providers offer “memory” but the limits of those features are pretty obvious once you try to use ‘em in practice for anything other than “don’t forget that I like tacos, the color blue, and sci-fi”)

> For sanity’s sake, I keep these AI generated modules in single files just so it’s an easy copy and paste into ChatGPT.

That’s not acceptable for production-quality code—at least not in my environment.
Absolutely, I'm sure there's all kinds of drugs that are totally safe. And I have no reason to think that this one isn't. But it does seem to follow a classic pattern - people get unhealthy because modern life and technology have removed them, in a period of decades, from the environment, incentives, and activities that have shaped their bodies for millennia. And rather than looking at the simpler solutions - in this case just being more active and eating better - some new technological solution is created to fix the problem that the earlier technologies accidentally created. Then the cycle continues and other non-intended consequences ensue. So that's all I'm saying - it's interesting to watch humanity progress. Hope it works out for everyone and it's a smashing success!
eMMC is not a slot. It's a form of built-in storage. It conforms to the old MultiMediaCard interface... which was obsoleted by SD cards a LONG time ago. The eMMC variant is still used to cheaply bung in some usable flash storage into rinky-dink devices like thin clients, cellphones, and such. But for something like the Pi, if you want performance and reliability over SD cards you need a grown-up solution: NVMe or SATA SSD.
Where did you get 5 hours and a half? It seems to be closer to 31 hours:

>>> round((4406400000 - 2**32)/(1000 * 3600), 3)
30.954
If your take is that blindly approving merges with 0 care is actually a good thing and that I "lack understanding" then I simply have to disagree lol. Good luck with that.
There is also the choice of whether or not they make affordable cars.

In the 1970s my dad had the worst time trying to buy compact cars from US dealerships, in the 2000s I thought US automakers were as bad but Japanese brands were better, by 2018 or so Japanese dealers were using the same toolbox (“You’re saying I can’t buy a Honda Fit because the factory washed out in a flood but you have 100 SUVs in a row that nobody wants to buy made in the same factory?”)

Then I got home and I am sure to read some article in the auto press which repeats, like the brainwash soldiers from The Manchurian Candidate that Americans only want to drive huge vehicles. Sure, an American might want a size L vehicle on average but from their point of view it is a disaster that somebody would could possibly buy a $50k vehicle walks out with a $25k vehicle (that Sales Manager won’t be able to work you over for another decade) so they will try to sell you an XXL vehicle.

Tesla, GM, Toyota and many others have refused to make affordable EVs, it’s that simple. Their hope is that a 100% tariff on BYD means they’ll never have to service the affordable vehicle market.
PKD is rad, my username is also a pkd reference. Love the Ubik studio as well!
> It's the original game that 1024, 2048 etc were cloned from

This argument has always been silly.

Three's didn't invent sliding tile games. Sliding tile games existed going back to the 1980s and 2048's mechanics are different enough that I don't even think they're comparable.

They've existed in wood for a lot longer than that.

https://en.wikipedia.org/wiki/Klotski
I disagree that it's important that we know who Satoshi is. Knowing the identity of Satoshi would change nothing.
It's 100% understandable that a lot of people are dying of curiosity, though. Mysteries are fun.

> Someday, I am confident, we will learn who Satoshi is or was.

I agree.

> And we will have to change our views of the world accordingly.

I don't think that learning their identity would change many worldviews. I don't see how that knowledge means we'd "have to".

As an aside, I was amused by this bit:

> Whoever Satoshi may be, the fact that the origin block has not been moved raises deep questions about human motivation. Do some people just not want to be multibillionaires?

Yes! Lots of people (arguably a very substantial percentage) don't want to be multibillionaires. I get the impression that the author was posing this rhetorical question because he considers the answer to be obviously that the vast majority of people would want that -- but there is a large body of data that indicates that's likely not true. Regardless, it's undeniably true that there are many who don't. The only question is how large of a percentage of the population feels the same. It's not impossible that whoever Satoshi is, they value other things more than extreme wealth.
What's it compatible with?
My friend has a Mitsubishi kei van Electric and it’s exactly what you describe. It’s just like a regular kei van but electric. It is a wonderful, wonderful car. Because of the low center of gravity of the heavy battery. It has no roll around corners like a regular kei van. It’s like a sports car. It is as simple as a car could be.

Only thing that’s missing g for me is a 4x4 model.
I mean, this outcome of LLMs is expected and the frequency of LLM drops are too fast, and definitely too fast to wait for Meta to do an annual conference with a ton of hype, and furthermore these things are just prerequisites for a massive lemming rush of altering these models for the real fun, which occurs in other communities
Given they targeted observation posts and monitoring cameras first, I suspect they don't want witnesses observing war crimes. Local witnesses are outright killed or smeared with accusations of belonging to militant groups, as it's being done to journalists in Gaza. They just put targets on the backs of the few surviving journalists that are still documenting the siege of northern Gaza. See: https://www.aljazeera.com/program/inside-story/2024/10/24/wh...

That trick is harder to pull when the witnesses are external UN observers.
Thanks for sharing the post, it was intriguing. The detailed comments mentioned in `main.zig` and `build.zig` towards the end helped a lot.
Yes, I've used the v3.2 3B-Instruct model in a Slack app. Specifically using vLLM, with a template: https://github.com/vllm-project/vllm/blob/main/examples/tool...

Works as expected if you provide a few system prompts with context.
The information coursing through the world around us already exceeds our ability to grasp it by high orders of magnitude.

Three channels of television over 8 hours was already more than anyone had time to take in.

AI might be able to create a summarizing layers and relays that help manage that.

AI isn't going to create infinite bandwidth. It's as likely to increase entropy and introduce noise.
Acreom Goes Open-Source
In C++ (specifically) one can limit oneself to using safe constructs provided by the standard library. (C is a different story, of course.)
Had a similar problem to this many years ago. Happened every 24 days approximately and lost one user setting. Had a logic analyser connected to it for days trying to reproduce the issue in some way. Went to go for a piss and get a coffee one afternoon and came back and there it was triggered!

What happened? Well it turns out there was a timer that no one used that overflowed and caused an interrupt which wasn’t handled any more, the interrupt handler fell through, caused a halt and the WDT fired fire rebooting it and some idiot hadn’t stored that one setting in the NVRAM.

So then we had more problems. 5000 things with EPROMs in that were rebooting every 24 days which were spread all over the planet. Many questions to ask over how the hell it ended up like that.

I hope people are asking these sorts of questions at Boeing.

Edit: also the source code we had did not match what was on the devices. Turned out the engineer who provided the hex file hadn’t copied that code to the file server and had left a year before hand. We didn’t find that until the WDT fired and piqued our interest and could reproduce it on the dev board because the software was different (should have checked that past the label on the ROM which was wrong!)
It is definitely not clearer to me. I have no idea what happens in the `validatePassword` function. Does it make a synchronous network call that will stop the world for half a second? Does it throw an exception, or return an error object? I will also have to search the rest of the code to see who else calls it, and potentially refactor those callers as well.

Any smaller function broken out of a larger function is (slightly) confusing. I find that a genuinely large function is much more confusing than two functions half the size, but a petite little function less than 20 lines long is not confusing to begin with.
Maybe it takes 2 days to boot the entire thing?
from me typing too quickly in bc, apparently :')
The more I reflect on this article, the more it seems that companies like OpenAI have quickly gained influence through lobbying, which is somewhat alarming. It raises concerns about how vulnerable the government may now be to aggressive lobbying efforts by corporations looking to profit from federal budgets—essentially, massive sums of money.

With recent claims about OpenAI's growth, I'm questioning if they expect that most of the growth will come from government contracts rather than just general subscriptions. While enterprise companies are slow and cautious about LLM integrations, the government can be an easy target for current hype.
This is great. Some positivity, since many comments are on the negative side.

It's exactly what I need to connect .py with .ts
This is even scarier than the base concern.
(Yo dawg, we put a niche language into a niche language so that...)

I wonder if the Zig code can be not written inline, as an option. With anything larger than a few lines, I'd want syntax highlighting, LSP support, navigation, etc. It's easier to achieve with one language per file.
It's amazing that's legal. Like, why do we accept software that does this? It can be done in such a way that these things don't happen.Put another way, why aren't the companies involved being fined and sued out of business? Why aren't their managers facing criminal negligence charges? It's outrageous.
I noticed that as well, but it's still not obvious to me why, they must do a decent amount of complex computation on them.
Otherwise, they could've also used VLEN=128 with LMUL=8 to get effectively four 1024-bit vector registers.
Can this website pose a SECURITY RISK?
This website, freesurvey.app claims to generate a survey (like hotjar) without backend nor account creation. It generates a script to copy/paste into a website. Is this secure? How does it work without backend?
What does that have to do with my comment? The blame is squarely on the landlords, blaming AirBnB or other similar websites is just because people can't deal with the fact that the persons harming them are nearby. So they need an outside force to put the blame on.

Good on NYC to ban short term rentals of residential properties. Short term visitors should stay in buildings especially made for that purpose, such as hotels.
I can't remember the name of it, but over a decade ago I saw something like this - it was a single Linux server shared by (I think) hundreds of people. Really trying to do the multi-user paradigm. They advertised it as a private kind of social network, it was invite-only and I think you had to pay to help keep the server lights on.

Hopefully by posting something incorrect, A Person On The Internet Who Knows Better will come along and provide the correct details. :)
They don't have to take you to court at all, they will just send your bills to collections and nuke your credit score.
Not sure how much it matters.

I am thinking about getting a third car for the farm if I could get an inexpensive low range EV. If I am only driving to work with it or to go shopping or see a sports game at my Uni I can just it when I get home. If I need to go see a game in a distant city, well, I’ll take one of the gas cars so my son will take the EV and not the Buick to work one morning.
One could assume that the US purchasing the patent would be very profitable for the company selling it.
> why wouldn't you expect planes to be in constant utilization?

They require weekly maintenance which takes them out of service for at least 12 hours.

What we may of as 'constant utilization' is quite different in a regulated fleet environment like airlines.
Perils and Promises of Synthetic Data in a Self-Generating World
So going through arxiv again, and found a paper talkign about a very similar issue to the last one i posted aniut, so idecided to post it here agin.

This one going into more details about accumulating data, and what they call "accumulate subsample" which keeps the amout of data trained the same between models.

(Please note:I'm not an unbiased observer, i could very well be misreading or misrepresenting the paper, so take my summary with a grain of salt.)

They found the already somewhat established results:

1-accumulate: leads to little or no loss, (though they don't mention if there is any increase in performance [however you may study that] either depsite there being an increase in model size.)

2-Replace: the same old, model collapse happens very quickly.

3-accumulate subsample: Deteriotes faster than accumulate, but slower than replaces, and often converges a fair bit higher than accumulates.

I wonder how many of the Llm generated articles and ai images are properly tagged, or how much processing power is being spent training on low quality or sometimes synthetic data that could be preened off with better data management, I fear how many 100's of SEO articles written by 1 dude and an llm already pollute the training data avalaible.
> Use one-click snippets to send timely, personalized emails. Even let AI suggest the right one!

Personalized, but not personal.
We've replaced most of our RPi units with the Beelink SER MAX 5 or whatever at $300ish price point; just too good of a deal (and all of its hardware works with Linux, unlike some other MiniPCs).

But we still use RPi4/5s when we want the ecosystem of the RPi, particularly around the GPIO stuff. Typical things include environment monitoring such as lighting and air quality - super simple plug-in devices that easily interface with Raspbian and the GPIO system.

Power draw is much lower on the RPis which I think is relevant for some people; not really us. But that's a pretty valuable use case for those who are shipping battery-backed devices.
So SpinQuant learns a rotation for activations and weights that, to my understanding, "smear" the outlier weights out so you don't get extreme values in any one weight.

Random anecdote warning - In the old days, before vector search became AI and everyone and their dog offered a vector database, I had a task that required nearest neighbour search in a decent amount of high-dimensional vectors.

I tried quantizing them to bit vectors in an index and scanning through it to get an initial set of candidates.
Performance was actually quite decent - reading through RAM linearly is fast! But the selectivity wasn't great.

Somewhere along the way I found this paper[1] that iteratively finds a rotation to apply before quantization to reduce the quantization error. Very similar goal to SpinQuant, but focused on bit quantization only.

As it turns out the 'random rotation' baseline they benchmark against worked great for my use case, so I never tried implementing the fancier algorithm. But it's a pretty rare day at work that "apply a random rotation matrix to a 128-dimensional vector" is the solution to my problem.

[1] https://ieeexplore.ieee.org/abstract/document/6296665 / https://slazebni.cs.illinois.edu/publications/ITQ.pdf
It's purely about battery runtime in these cases.
Client Feedback Processing with AI Agents Using CrewAI
Google really don't want to provide a useful API to their search results.
In Canada.
>This is not a full templating language like Jinja, and does not support things like template inheritance, etc. Rather, empyt can be used as an 'extension' alongside other templating engines.

It would probably be helpful to show examples of what it does support, and how that complements an existing templating engine like Jinja. In the README it looks like empyt wraps an existing templating engine, but it isn't clear what that wrapping accomplishes.
Buy in is nice, but parenting does not require buy in on your rules, just a clear understanding and explanation of your role, and why the roles of parent and child and the rules that sprout from that relationship exist.
The new power ups are a nice addition that allowed me to reach 2048 more quickly :)

I remember a coworker who said something along the lines of "I am free!" when he finally got 2048, and then never touched the game again. I hope the new power ups will make the game less addictive.
Domains and DNS – DigitalOcean Documentation
CHERI is a redesign of how an ISA accesses memory to protect against memory corruption under the assumption that it's easier to extend an instruction set and recompile existing C and C++ code (with minimal changes) than rewrite every existing C program and library in the latest safe language.

It works by changing pointers from (in assembler) equivalent to integers to a hardware supported capability type. That type is twice the size of an address contains the bounds on the memory allocation it points into. Each such double capability is also protected against manipulation by an extra bit that isn't addressable by normal means (to record the manipulation invalidating the capability).

At first glance having twice as fat pointers should slow things down, but if you fully commit to the hardware capabilities in your OS you can get away with a minimal MMU could more than make up the overhead of larger pointers (faster context switches, less TLB stalls, etc.)
Whitelisting is the way.
My understanding is that there was a push to modify the U shaped tow trucks they use to position planes to have a battery powered system to start the engines.

The idea being that the APU isn't particularly clean burning, not compared to power plant emissions. It's been a long while since I've heard anything about that plan, for or against.
Diaspora, by Greg Egan
I wonder if CUE can help the situation in similar fashion to the DSL methods that you've described in your blog post [1]. After all CUE fundamentals are based on feature structure from the deterministic approach of NLP unlike LLM that's stochastic NLP [2],[3]. Perhaps deterministic and non-deterministic approaches is the potent combination that can effectively help reduce much of the footprint to get to the same results and being energy efficient in the process.

[1] Cue – A language for defining, generating, and validating data:

https://news.ycombinator.com/item?id=20847943

[2] Feature structure:

https://en.m.wikipedia.org/wiki/Feature_structure

[3] The Logic of CUE:

https://cuelang.org/docs/concept/the-logic-of-cue/
I'm dubious of this idea. Examples of locations where this dynamic exists?
As an Asian person having grown up with a bit of South Chinese culture, it does appear a bit like a Chinese lion statue, but the wings really throw it off for me.