skysight-inc/HackerNews huggingface dataset:
Decoding random gibberish into semantically meaningful sentences is fascinating.

It's really fun to see what happens when you feed the model keysmash! Each part of the input space seems highly semantically meaningful.

Here's a few decompressions of short strings (in base64):

$ ./ts_sms.exe d -F base64 sAbC
Functional improvements of the wva
$ ./ts_sms.exe d -F base64 aBcDefGh
In the Case of Detained Van Vliet {#
$ ./ts_sms.exe d -F base64 yolo9000
Give the best tendering
$ ./ts_sms.exe d -F base64 elonMuskSuckss=
As a result, there are safety mandates on radium-based medical devices
$ ./ts_sms.exe d -F base64 trump4Prezident=
Order Fostering Actions Supported in May

In our yellow
$ ./ts_sms.exe d -F base64 harris4Prezident=
Colleges Beto O'Rourke voted with Cher ┬íLa
$ ./ts_sms.exe d -F base64 obama4Prezident=
2018 AFC Champions League activity televised live on Telegram:

$ ./ts_sms.exe d -F base64 hunter2=
All contact and birthday parties

$ ./ts_sms.exe d -F base64 'correctHorseBatteryStaples='
---
author:
- Stefano Vezzalini
- Paolo Di┬áRio
- Petros Maev
- Chris Copi
- Andreas Smit
bibliography:

$ ./ts_sms.exe d -F base64 'https//news/ycombinator/com/item/id/42517035'

Allergen-specific Tregs or Treg used in cancer immunotherapy.
Tregs are a critical feature of immunotherapies for cancer. Our previous
studies indicated a role of Tregs in multiple
cancers such as breast, liver, prostate, lung, renal and pancreatitis. Ten years ago, most clinical studies were positi
ve, and zero percent response rates

$ ./ts_sms.exe d -F base64 'helloWorld='
US Internal Revenue Service (IRS) seized $1.6 billion worth of bitcoin and

In terms of compressions, set phrases are pretty short:

$ ./ts_sms.exe c -F base64 'I love you'
G5eY
$ ./ts_sms.exe c -F base64 'Happy Birthday'
6C+g

Common mutations lead to much shorter output than uncommon mutations / typos, as expected:

$ ./ts_sms.exe c -F base64 'one in the hand is worth two in the bush'
Y+ox+lmtc++G
$ ./ts_sms.exe c -F base64 'One in the hand is worth two in the bush'
kC4Y5cUJgL3s
$ ./ts_sms.exe c -F base64 'One in the hand is worth two in the bush.'
kC4Y5cUJgL3b
$ ./ts_sms.exe c -F base64 'One in the hand .is worth two in the bush.'
kC4Y5c+urSDmrod4

Note that the correct version of this idiom is a couple bits shorter:

$ ./ts_sms.exe c -F base64 'A bird in the hand is worth two in the bush.'
ERdNZC0WYw==

Slight corruptions at different points lead to wildly different (but meaningful) output:

$ ./ts_sms.exe d -F base64 FRdNZC0WYw==
Dionis Ellison

Dionis Ellison is an American film director,
$ ./ts_sms.exe d -F base64 ERcNZC0WYw==
A preliminary assessment of an endodontic periapical fluor
$ ./ts_sms.exe d -F base64 ERdNYC0WYw==
A bird in the hand and love of the divine
$ ./ts_sms.exe d -F base64 ERdNZC1WYw==
A bird in the hand is worth thinking about
$ ./ts_sms.exe d -F base64 ERdNZD0WYw==
A bird in the hand is nearly as big as the human body
$ ./ts_sms.exe d -F base64 ERdNZC0wYw==
A bird in the hand is worth something!

Friday
$ ./ts_sms.exe d -F base64 ERdNZC0XYw==
A bird in the hand is worth two studies
I agree, but I think my biggest issue with LLMs (and a lot of GenAI) is that they act as a massive accelerator for the WORST (and unfortunately most common) type of human - the lazy one.

The signal-to-noise ratio just goes completely out of control.

https://journal.everypixel.com/ai-image-statistics
>>I would rank self-actualization

Why should I (or anyone) care where you (or anyone) rank anything?

I'm pretty comfortable with my ranking of things. What someone else thinks about how I decide to live my life is pretty much at the bottom of my ranking board.
It's funny how when one guy does it for a small fork on a small project, people get riled up about it. However, when there's a bigger project like HomeAssistant, people let that behavior slide.

As far as Darktable/Ansel goes, he's right. Darktable's UI and philosophy is pretty horrid. I shouldn't have to know seven different algorithms to apply a denoise filter. The vast majority of professional photographers are artists, not computer scientists. I want the application to pick the best one for me. All commercial applications these days take it one step further with some pretty good AI tools, too.
I don't know if he considers the expiration date of his ideas. Some of his ideas actually creates worse software and crater projects.
The Future of Human-Machine Interfaces: A Paradigm Shift
Sounds like the FL calendar is about 100% inverted from the ME calendar. :)
If they are subsidised they can make a profit while still not making enough money to cover energy costs.
"learned out about" - is that an Australian phraseology by chance? Sounds Australian or British of some manner.
I'll use a different word when you demonstrate that humans aren't also stochastic parrots constantly hallucinating reality. Until then, good enough for one is good enough for the other.
I think the world unique TSMC 3nm technology is even more impressive though.
https://hardcoresoftware.learningbyshipping.com/p/225-system...

from https://news.ycombinator.com/item?id=42559882

Which has a similar map of failure side quests.
Davis Instruments is on the pricey end but their WeatherLink Live gateway has a simple local JSON API. For years I scraped it with Prometheus for use in Grafana but I have since switched to HomeAssistant for the analytics/visualization just for simplicity.
You can try to stop h1Bs, but it won't really do much good. There are talented workers in other countries that can do the same job for less money.

I also find it ironic that the same crowd that screamed about Trump being racist for his views on the border, is now complaining he is hiring non-white people.

Did you actually think hiring people from other counties would help American's job prospects? It now seems the left is against immigration and preventing climate change (because Musk likes Nuclear power and Electric cars). Will they finally turn the corner and become the Republican party?

Update: LOL
Energy generation methods aren’t fungible.

Methane is favored in many cases because they can be quickly ramped up and down to handle momentary peaks in demand or spotty supply generated from renewables.

Without knowing more details about those projects it is difficult to make the claim that these plants have anything to do with increased demand due to LLMs, though if anything, they’d just add to base load demands and lead to slower decommissioning of old coal plants like we’ve seen with bitcoin mines.
I wonder what's the author's view on Forth, seems like the role of the bytecode VM here might be interchangeable with a Forth implementation.
Coming AI-driven economy will sell your decisions before you take them
Herbie Hancock Demos a Fairlight CMI Synthesizer on Sesame Street
That humans are dominant doesn't preclude us having co-evolved.
I've been writing glsl recently, and I think it's a good example of a DSL that _doesn't__ work. It should have just been C without the standard library, or ideally C++. Not being able to use pointers is especially painful. Hlsl is better and has some nice quality of life features. Rust-gpu is the best approach but basically nobody uses it
China-nexus threat actors tend to be focused on espionage, including intellectual property theft. "Prepositioning" is a more recent observation, but it doesn't mean a war is inevitable. While it would be useful in that scenario, in others it may act only as a deterrent. Everyone should hope a war does not occur.

The NSA and CIA are neither able nor authorized to defend all privately-owned critical infrastructure. While concerns about agency oversight are warranted, I can assure you that spying on the population is not their top priority. It's abundantly clear that foreign threats aren't confined to their own geographies and networks. That can't be addressed without having the capability to look inward.

Secure by Design is an initiative led by CISA, which frequently shares guidance and threat reporting from the NSA and their partners. Unfortunately, they also can't unilaterally secure the private sector overnight.

These are difficult problems. Critical infrastructure owners and operators need to rise to the challenge we face.
I think LLM web applications need a big red warning (non interactive, I don't want more cookie dialogs) like in cigarettes.

> LLM generated content need to be verified.
Unless the best models themselves are costly/hard to produce, and there is not a company providing them to people free of charge AND for commercial use.
There is a pattern to all of these problems, notably that they are all orthogonal concerns that add constraints to the sequential data-munging programming model that programmers are familiar with. Whenever you add constraints, you add things that future programmers need to think about, for all future development they do on the system. It is very easy to get into a situation where the system is overconstrained and it's impossible to make forward progress without relaxing some of the constraints. Even if it's not impossible, it's going to be slow, as developers need to consider how their new feature interacts with the API/security/synchronization/latency/other-platforms/native-code that the system has already committed to supporting.

That's also why it's possible to support all of these attributes. If you make say transparent data synchronization a core value prop of the platform, then all future development supports that first, and you evolve your feature set based on what's possible with that constraint. That feature set might not be exactly what your users want, but it's what you support. Your product appeals to the customers for whom that is their #1 purchase decision.
One thing I haven't seen addressed in the post or comments (sorry if it's there and I just missed it) is for apps and websites that sell non-digital goods to customers.

For returning customers, a customer with an app installed is simply going to have a lot less friction to open the installed app and place an order than a customer who has to open their browser, log in again, and then place the order.

That alone is worth the investment for many companies in making an app, even if a minority of customers actually choose to install the app and keep it installed.
"We must implement as LAW that a SIM card can provide and only provide a Zero Knowledge Proof ..."

Now is a good time to remind everyone that a SIM card is a full blown computer with CPU, RAM and NV storage.

Further, your carrier can upload and execute code on your SIM card without your knowledge or the knowledge of the higher level application processor functions of your telephone.
You can find out, you can learn about, but you can't learn out about.
1.) EU will soon have rules to prevent Chinese AI from proliferating, since China is ramping up on its support of Russia invasion of Europe - China Is Cutting Off Drone Supplies Critical to Ukraine War Effort [1]. China is reportedly making drones for Russia instead, according to multiple intelligence officials.

2.) Chinese models have to censor a long list of words that threatens the government, which makes them super dumb. List of stupid words example: sprinkle pepper, accelerationism, my emperor, lifelong control, etc. and the list of censored words grow(!!) as Chinese citizens try different combination of words to escape censorship.

3.) not even sure what this sentence means and how it makes Chinese models better

[1] https://www.bloomberg.com/news/articles/2024-12-09/china-is-...
This system call returned and then asynchronously wrote to memory some time later. How does the replay system even know the write happened, without scanning all memory? It can't generally. With knowledge of the specific call it could put just that address on a to-be-scanned list to wait for completion, but it still needs to periodically poll the memory. It is far more complicated to record than a synchronous syscall.
The problem with this attitude (and please don't take this as a personal attack) is once a few people with this attitude come through a codebase and make their "practicality" compromises, the codebase devolves into mediocrity.

For a little more context, I work on dev tools for an org of ~400 engineers. There is always someone trying to do things the quick and dirty way and move on without consideration for how the other 399 people may be impacted.
Have you personally worked at a company that used algorithmic filters? Because I haven't, and plenty of people here attest that they haven't. I've only ever seen baseless speculation that it's prevalent, with no anecdotes much less data.

I'm currently participating in a hiring panel that is still working on sifting through hundreds of junk AI applications by hand to try to give the honest players a fair shot. I can certainly see the temptation to resort to algorithms now that the spam is so awful, but the causality there is reversed.
Subsidised by whom?
Yes, I can see that. But it's almost unknown in the UK so it wouldn't work for us.
rr does not record AIO or io_uring operations today, because recording syscalls with async behavior is challenging.

Maybe Windows TTD records async NtDeviceIoControlFile acculately, maybe it doesn't; I don't know.
My impression - I'm not in your head, of course - is that you don't see your own assumptions.

> it was obviously so much so too far left for about 2million+ people

How do you know why they voted that way? For example, there is evidence that many people voted for Trump because they thought he would do more for the economy. Maybe it was crime, or charisma or corruption or a million other things.

Where is evidence to support your claim that it was a rejection of leftism? Why do you even believe it - assume it without question, afaict - if you have no evidence?

(I'm assuming, for the sake of this comment, that this 2+ million cohort exists and voted a certain way.)
Methane has a shorter half-life than CO2 but is a far worse green house gas; retaining far more heat.

And delivering methane leaks like a sieve into the atmosphere from all parts of the process.

Sure it’s probably “better than coal,” but not by much. It’s a bit like comparing what’s worse: getting burned by fire or being drowned in acid.
The last OpenAI valuation I read about was 157 billion. I am struggling to understand what justifies this. To me, it feels like OpenAI is at best few months ahead of competitors in some areas. But even if I am underestimating the advantage, it's few years instead of few months, why does it matter? It's not like AI companies are going to enjoy the first-mover advantage internet giants had over the competition.
Came here to say this. The origin of Sabian is a neat story. It also makes me thing of the Dassler brothers and Adidas / Puma: https://en.wikipedia.org/wiki/Dassler_brothers_feud
You're the one asserting that there is no reason to discuss the preferred direction of the language's evolution. And yet you persist. I would have thought it difficult to mix up which of us is making which argument, but you seem to have achieved it.
The balancers could literally be part of the plan in your bus. Maybe you branch off a line of iron and two of copper to a green circuit plant that is then coming back onto the bus and being used downstream by both modules and red circuits. You know that for the next few hours those lines will be completely consumed by the number of modules you’ll be creating but after that your red circuit production will be able to go full speed and feed electric engines for robots. Your argument seems to be that you should just have enough lines to do both at full speed. That’s reasonable for the late game, but earlier the needs of your production are variable.
An Africanist Perspective: Year in Review
A million prompts? It's exactly one prompt to permanently allow a source.
The tip I got about both Gemini and Nova is that the low prices they are charging still cover their energy costs.
That sounds exactly right. And sometimes the idiot before me was myself from several months ago.
That was a very dumb typo in my title!
As a typography dork who annoys friends by pointing out fonts all the time, it saddens me I am not your coworker to fulfill this long con. Much respect.
As I understand this was recent stabilized in rust and is now the default behaviour.

https://blog.rust-lang.org/2024/09/05/Rust-1.81.0.html#abort...

You have to explicitly opt into unwinding like this now otherwise the program will abort.
Then again, these answers are valid. Your fancy API documentation will only be skimmed, nobody is going to notice the elaborate and elegant URI design or the discussion around whether to use PUT or PATCH, and the super-secure token mechanism you come up with will be written on a sheet of paper in the office.

Most projects are far too fluid in their shape to warrant a proper design up-front anyway.
Okay I figured out why it wasn't loading on every tweet page. v0.3.6 is much more reliable now.
Quite entertaining; only flaw is it ends too soon:-)
This is very impressive considering the real-world complexities surrounding it, but you've taken that complexity and turned it into a fairly simple work-flow with minimal coding. I've been developing software professionally for nearly 20 years and I find these kinds of projects to be fascinating. I started out my career with a mixture of coding and non-coding "integrations" (hacks) with other software. Over the years I've fallen in the typical "how can I build this from scratch" trap, but in many cases - as you've proven - that's not always the best decision. Kudos and thanks for sharing!
There is no evidence in the GGP, just speculation. If there is, could you quote it?

Sales data is objective evidence. 'It could be' are just some bytes on the Internet.
Half of the magic is knowing _when_ to apply it. If you just dump your prometheus timeseries data into an anomaly detection system and ask it to constantly scan for anomalies, you will always find them.

As an SRE, I don't actually care about anomalies all that much. For initial alerting, I want phase shift detection. One customer sending a few bad API calls on one specific minute is uninteresting and pretty much inactionable. That same error rate over 10 minutes is more interesting and more likely to be a systems problem I can actually resolve. But the raw AD stream is just too damn noisy for all sorts of reasons. This is why our alerting tools have a `duration` field: any signal above threshold must remain so for multiple observation periods before summoning human inspection. And why health checks have grace periods and retries before killing services.

Where anomaly detection works better, IMO, is post-alert analysis. At that point anomalies are welcomed as hypotheses, since the system features complex interactions between components. I've built a couple of dashboards using extremely simple math, like Laplace smoothing and time series correlation that help surface relevant information from the flood of metrics and logs collected. But critically, these tools generally don't use the time domain as their baseline. Usually, I'm comparing a cluster against another one in a different region, or one metric against another, rather than now versus twelve hours ago.
“Grafana Cloud” sounds a little limiting in the context of a weather app, no?
This experienced systems programmer agrees with you 100%. This is an exceptionally bad case, but even in more normal circumstances, C++ exceptions are outrageously dangerous. Correct behavior requires the cooperation of not just the thrower and catcher, but everything in between. And there are basically no guardrails to enforce that. If you throw through C++ code that hasn’t been made exception safe, it just goes. You can throw through code written in plain C, which doesn’t even have exceptions.

It’s probably feasible to use them if you draw a tight boundary around the exception-using code, use RAII without fail inside that boundary to ensure everything cleans up properly, and make sure all code that might be called from the outside has try/catch blocks. (And, obviously, don’t trigger async calls to throw from the middle of someone else’s function!).

I find it a lot easier to avoid them entirely. Error handling is a little more annoying, but it’s worth it.
You've lost context and appear to be going after a weak interpretation with the implication I don't know how to sysadmin.

The context was the sweeping generalisation that Linux devs and that they don't care about regressions, see up thread by @imiric. In that context I've not had regressions. More explicitly, for this narrower context, I've not had regression bugs in ext3/ext4.

I'm not making a claim that I've not had never had ANY issues or never have to fsck my drives; nor am I making claims that nothing has ever appeared in 'lost+found', nor am I claiming that ext3/ext4 are perfect. Nor that Linux is perfect.

Just claiming that the software quality in the Linux ecosystem is very high. I'd say better than many closed-source solutions -- which couldn't be proved anyway.

I've only been at this since 1994 and still have a lot to learn. However, I don't learn much from the "you're wrong and not good" type of conversation.
"Exceptionally talented and intelligent" has a very different meaning to "with exceptional interest and support". When people say talent, they invariably mean a natural endowment or inherent skill. Something distinct from what id possible with support and interest.

It's arguable that no such thing as talent exists. That when we say "talent" we are really using a short-hand for a kind of knowledge and experience. I suspect that Hardy would strongly reject such a claim, based on reading his Apology.
It seems odd to put crypto and LLMs in the same boat in this regard - I might be wrong but are there any crypto projects that actually provide value? I'm sure there are ones that do folding or something but among the big ones?
> It's not like military-issue fatigues would even be hard to come by.

That is exactly the point the linked comment makes. It is in agreement with you on that. Fatigues like the one on the image he shared are easy to come by. This is what the comment says and this is what you say.

> People's conspiracy theory gotchas

There is no conspiracy theory in the linked comment. It just says that they believe the perpatrator is not really in the military just pretending to be. That is hardly a conspiracy theory.
Maybe some experience making large mistakes is how they came up with the list?
I figured as much, although I wondered if you were going for the kinda "he learn out about not pissing people off real sharpish" kinda tone I've heard in Scotland before, but wasn't sure. Big fan btw, happy new years Simon! :)
RE: Slop:

Having Slop generations from an LLM is a choice. There are so many tricks to make models genuinely creative just at the sampler level alone.

https://github.com/sam-paech/antislop-sampler

https://openreview.net/forum?id=FBkpCyujtS
I agree the criticism is poor; it’s often very lazy. There are currently a lot of dog-brain “wrap a LLM around it” products, which are worthy of scorn. Much of the lazy criticism is pointing at such products and therefore writing off the whole endeavor.

But that doesn’t necessarily reflect the potential of the underlying technology, which is developing rapidly. Websites were goofy and pointless until Amazon came around (or Yahoo or whatever you prefer).

I guess potential isn’t very exciting or interesting on its own.
You literally called the logistics hubs of the US military -- the bases that move more of the most powerful weapons and military personnel in the world -- indefensible. So you either don't know what indefensible means, or you are a piss poor propagandist.
What is the current status on pushing "reasoning" down to latent/neural space? Seems like a vaste of tokens to let a model converse with itself especially when this internal monologue often has very little to do with the final output so it's not useful as a log of how the final output was derived.