skysight-inc/HackerNews huggingface dataset:
I kind of agree with you.

I mean shocker: large language model trained in mainland China may have censorship around topics considered politically sensitive by Chinese government, more news at 11. Can we move on?

But it's also an easy low-hanging fruit if you want to add a comment to a Hacker News Post that you otherwise don't know anything about.
Also available through PDO:

https://www.php.net/manual/en/pdo-sqlite.createfunction.php
Such anthropomorphizations of LLMs are unhelpful in aiding people’s understandings of how they work, and pushes people toward superstitious beliefs.
What’s the mathematical concept? A connected graph with weights and activations functions? You’re making gigantic simplifications of our brain, most of which isn’t even understood let alone “obeys a fundamental mathematical concept”.
Litecoin to Monero
Intent is a good word, and the right question. What's the intent of a bio security lab? What's the intent of gain of function research?

Some say the intent of a firearm is self defense, as the intent of a nuclear bomb is a deterrent.

Finally, what role does intent play in the poker world championship?

And for record of the court, arson by negligence is a criminal offense.
Ask HN: What are core engineering skills that will likely never be automated?
Ok, what's the true story?

It is obviously allowed to discuss Linux. There is plenty of discussion about Linux on Facebook, including some about the recent "ban".

My guess is that some automated scanner found something wrong about the linked page. Maybe there is some link to a "hacking"-oriented distro, maybe some torrents, some dubious comment, etc... Probably a false positive, it happens.
Globalists are history now, Trump will take care of them :)
The guy mentions layoffs between Germany and US are the same. They are not.
After probation is harder to lay off people (you have 3 months notice) and usually good severance packages. I have friends who were laid off and actually they made a buck.
The zero-sum competition for housing absorbs any wage level you throw at it. If you can fault the employer for something in this scenario, it is for locating the role in the Bay Area. Which they would tell you is a concession to the existing talent pool.
Important to note: the $5 million alleged cost is just the cpu compute cost for the final version of the model; it's not the cumulative cost of the research to date.

The analogous costs would be what OpenAI spent to go from GPT 4 to GPT 4o (i.e., to develop the reasoning model from the most up-to-date LLM model). $5 million is still less than what OpenAI spent but it's not a magnitude lower. (OpenAI spent up to $100 million on GPT4 but a fraction of that to get GPT 4o. Will update comment if I can find numbers for 4o before edit window closes)
Imo both cooking and baking are "science" until you have the requisite experience to mess around, then they both become art. You can absolutely guess your way into a great cake recipe based on feel.

I think the two important differences are that the results of bad cooking tend to be slightly more edible than the results of bad baking, so many people don't even realize they can't cook. And many more people are forced into cooking via necessity, so the average skill level is higher.
I have written to their PR department. TBH I am not expecting a useful answer.
So like, taking a step back, is NuttX POSIX or POSIX-like (if there's a file namespace with /dev in it / you can use the Nix package)?

And... does it have a global memory allocator (using stdlib packages that use alloc)? I can't really tell if this is an RTOS for microcontrollers or like, 32-bit ARM and don't have any background on it. And how does that interact with RTOS guarantees?
You seem to be taking some kind of extreme example of a particular use case of yours and trying to make it a general rule. But it's not.

And none of this is "says me", it's standard practice, it's relational databases 101. And none of this is about NoSQL, it's about relational databases. NoSQL performance can be abysmal for trying to do things relational databases are meant for.

And the overhead is not about network latency, it's about all of the overhead involved in serializing, transferring, deserializing, and then doing it all over again in the other direction.

Your comment seems to boil down to:

> If Foo has a Bar, and there are 10 million foo and 1000 Bar used throughout them, then it's faster, less network, and less data intense to load up bar separately from foo.

I assume you're not retrieving 10 million Foo for the user, god forbid -- you're retrieving 20 or 50 or something user-friendly. Then you should join to Bar. It is slower and more overhead to load up Bar separate from Foo. It is an anti-pattern.

If you are getting results to the contrary, your query may not be written correctly -- e.g. you are joining 10 million rows of Foo to Bar in a subquery without a WHERE clause, and then only applying the WHERE at a higher level (in which case one solution is to move the WHERE clause into the subquery). Or your tables may not be architected suitably for the queries you need to perform, and you need to revisit your normalization strategy.

Again, there are super-super-complex queries where yes it becomes necessary to split them up. But that is not the "rule", it is not the starting point -- it is what you do only when you've exhausted all possible options of keeping it in the query. It is never a recommendation of how to use databases in a general sense, which is what you are suggesting.
Not like that
oh so this model deepseek-r1-qwen-distilled isn't deepseek? ok. Thanks. I have a quarter TB of models, i don't test every single one just to comment on HN, thanks though.
Thank you very much!

TBH I didn't think the @ thing would work - I was just hoping you'd notice. I have been meaning to email you, though.
The Ten Axioms of Choice Theory by William Glasser
Good article, but IMO none of the discussed downsampling methods are actually ideal.

The ideal is trilinear sampling instead of bilinear. Easy to do with GPU APIs, in D3D11 it’s ID3D11DeviceContext.GenerateMips API call to generate full set of mip levels of the input texture, then generate each output pixel with trilinear sampler. When doing non-uniform downsampling, use anisotropic sampler instead of trilinear.

Not sure high level image processing libraries like the mentioned numpy, PIL or TensorFlow are doing anything like that, though.
Perhaps, but the question was regarding whether this forum brainwashes people.
Using Modern Web Components
I think distilled water would begin to leach metals and whatnot from the PCB making it conductive again. Certainly would need to be continually monitored and watch for corrosion. Flourinert is super expensive, we use it at work for gross leak inspection and filing a single small tank is i think 3-4k USD.
What is the best free Autocad alternative?
> when airtight, the whole thing looses it's thermal properties and starts overheating again. I guess because of pressure build-up

Does the oil actuallly avoid heating up that much by expanding?
Accessability and training data.

Nvidia canvas existed before text to image models but it didn't gain as much popularity with the masses.

The other part is the training data - there are masses of (text description, image) pairs whilst if you want to do something more novel you may struggle to find a big enough dataset.
Eywa
Adapting the second novel might be a better choice, or some mixture of the two.
>> Plus the cell phone industry paved the way for VOIP by getting everyone used to really, really crappy voice quality

What accounts for this difference? Is there something inherently worse about the nature of cell phone infrastructure over land-line use?

I'm totally naive on such subjects.

I'm just old enough to remember landlines being widespread, but nearly all of my phone calls have been via cell since the mid 00s, so I can't judge quality differences given the time that's passed.
I think they're wrong about the policy. It's more likely that the policy is "let's run the moderation bots unattended to save costs" and is actually site agnostic.

It's just some "AI" hallucinating.
That's circular logic and none of it is evidence.

"A bad thing is happening and the evidence of it happening is that I said it's happening."

By the way, I love DistroWatch and do think FB is messing with their posts. But there's no evidence to show if it's a new policy, a glitch in the moderation or an internal screw up.
No, Facebook is Not Censoring "Linux", Only "DistroWatch".

https://www.youtube.com/watch?v=xOdMTS6XVu4
Can you share what you've seen? Because from what I've seen, I'm far from convinced. E.g. there is this, https://youtube.com/shorts/CICq5klTomY , which nominally does what I've described. Still, as impressive as that is, I think the distance from what that robot does to what a human can do is a lot farther than it seems. Besides noticing that the folded clothes are more like a neatly arranged pile, what about all the edge cases? What about static cling? Can it match socks? What if something gets stuck in the dryer?

I'm just very wary of looking at that video and saying "Look! It's 90% of the way there! And think how fast AI advances!", because that critical last 10% can often be harder than the first 90% and then some.
For the 14b model, you can "/set parameter temperature 0.4" to make the Chinese censorship go away

Ah and you need to ask it to answer factually, too. Actually, asking it to answer factually does remove a lot of the censorship by itself.
Can you elaborate on that "little more work", given that resizing on demand isn't sufficient for this use-case, and predictive scaling is also out of the question?
Great science fiction is grounded in conflict, as is human nature. There is a whole subtext of conflict in this, and other threads about AI: a future of machine oligarchs, of haves and have-nots. Great science fiction, like any great literature, is grounded in a deep understanding and a profound abstraction of humanity. I completely disagree that reasoning by science fiction is stupid, and the proof is in the pudding: science fiction writers have made a few great predictions.
They probably know CoPilot as the thing Microsoft is trying to shove down their throat...
Can someone explain why there arent more multicellular bacteria?
But it's not consistent because Linux is not aligned with either side of US politics. This doesn't address OP's confusion.
i really have to appreciate the irony of how woke went from a term used to ridicule conspiracy theorists, spiritualist nutjobs, and far right grifters, to being used by the convenient idiots of the right en-masse as a catch-all much akin to how women with serious basic bitch syndrome use the word "ick".

i really have to wonder whether people like you actually grasp just how utterly deranged you sound. how much does a man has to watch the demagogue political equivalents of Dora the Explorer to get to this level? whatever the fuck happened to labelling being a lame copout? tell us your secrets.
Exactly.

They release the weights so it can be fine tuned to censor/uncensor for your locale and preferences.
oh? can you point out where i can get the r1 model to run locally, please? because looking at the directory here there's a 200B model and then deepseek v3 is the latest (16 days ago) with no GGUF (yet), and everything else is intruct or coder.

so to put it another way, the people telling me i'm holding it wrong actually don't have any clue what they're asking for?

p.s. there is no "local r1" so you gotta do a distill.
This is probably the best description of the central issue I've seen. I know even in my own work, which is a very narrow domain in software, I've found it troublesome to automate myself. Not because the code I write is unique or all that difficult, but because the starting conditions I begin with depend on a long history of knowledge that I've built up, an understanding of the business I'm part of, and an understanding of user behavior when they encounter what I've built.

In other words, I can form a prompt that often one-shots the code solution. The hard part is not the code, it's forming that prompt! The prompt often includes a recommendation on an approach that comes from experience, references to other code that has done something similar, and so on. I'm not going to stop trying to automate myself, but it's going to be a lot harder than anyone realized when LLMs first came out.
Better illustration:

https://www.researchgate.net/figure/General-workflow-of-hype...
Unfortunately, pay to play is better than no pay to play. Recently, Trump had the audacity to ask for half of TikTok for the government to approve the deal. That sounds like a lot more than Lina Khan or Biden would’ve demanded.

By the way, I’m not condoning government ownership of corporations as the ideal solution, but I absolutely do not approve of huge corporate subsidies with no value in return for tax payers and handwaving small fine penalties for obvious monopoly behavior.
As a user, why should I care?

I would just rather pay someone 100 bucks and not care whose fault it is. (And yes, that's why I don't use Linux on the desktop anymore, as much as I loved i3 and tiling environments.)

It's probably in a hundred places that all add up, all of which are no particular person's responsibility. So, that probably means that 10 people from 10 different projects need to get on a call or mailing list together and find a plan of attack.

But it won't happen. And people will keep wondering why Linux can't ever get a foothold on the desktop.
Here's how I do it while preserving sanity:

DSLR photos are for art, not memories. I use only my Android phone for memories (among other things).

I have a daily job that transfers photos from my phone to my PC.

Once a month, I copy all the photos/videos of the previous month into a directory. I fire up a simple Flask web app I wrote that builds a page showing all the photos/videos that are in a directory. Under each photo/video, I have:

- A checkbox on whether I want to keep it

- A textbox for putting a caption. Here I write whatever was going on that day (or when I took the photo)

- A field for entering tags (plain text, tags separated by commas).

When I hit a button:

- It copies all my selected photos/videos to another directory.

- In a static site generator, it creates entries for each day there is a photo/video. It adds rich text (e.g. Markdown) to the SSG entry with links to the copied photos/videos, and "captions". The tags I had entered apply to the blog entry/day (not to the individual photo).

That's it. I'm done.

Separately, I have a daily cron job to build the site, and make a new page showing me all entries for today's date (i.e. all photos/videos taken on Jan 27th). This way I can see what I was doing on this day 4 years ago, etc.

I keep whatever I want. If I go for a monthly book club meeting, I take a picture of the building it's in and note down what book I read.

It's very manageable. At one point I had a bug and didn't update it for several years. When I finally got around to fixing the bug, it didn't take long to catch up on that backlog.

I don't curate my DSLR photos. No time for that. It's why I don't use it for memories.
What consenting adults do is their business, but still such an age gap feels a bit icky to me.
I really doubt that the fan motors in typical PC components, designed to move air, were made to endure the relatively extreme viscosity of oil.
> I agree, overzealousness sounds like the most likely reason for this.

Who was overzealous if not one or more internal policy makers?
Remember the Google AI painting black Nazi soldiers in a futile quest for inclusivity and diversity? What precisely was gained by that?

I don't believe anyone can build a better society on a foundation of lies, even pious ones.
> Minimum wage laws in general have never protected anyone. If there is another job available to you that pays more than minimum wage and is otherwise on equally favorable terms, you would have taken that one regardless of whether a lower paying job is available.

That "if" there is doing a lot of work. I think you underestimate how many people out there are in a situation where it's the job they have or the street. Not everyone has the option to just go pick another job, and the people that don't is heavily skewed towards the people with the worst jobs.
Ultimately, @dang seems to have worked just fine, so well that it worked even without working.
Thank you, I will DM you as suggested.
It does seem like they have destroyed most of the competition. I was frustrated with the ad-blocking the other day and looking for a video but the whole first page of links was all youtube. I guess that's why they are starting to crack down on adblockers since people don't have as many other places to go now.
Göring also directly gave the order to Reinhard Heydrich to organize the "Final Solution of the Jew Question" aka Holocaust. So code of honor with strict restriction to "Aryan" pilots of the western Allies, if at all, IMO.
I have news for you. Both are here to stay. It’s like saying I hope the internet bubble bursts.
Abliteration can be done with off-the-github scripts. It's not perfect, but works very well for the heaviest censorship.

Male/female dynamics may be in the corpus too, and even the reality may famously have some perceived biases.
this is great and subtle advice worth reading twice. I'd add that a great "getting something out of it" reason is learning and reputation.
My comment was a bit harsh as I wrote it, but, it's genuinely so depressing to read about the cool things people create, and then seeing them vanish from the internet, as morals-less lawyers swoop in and claim various falsehoods—on the calculation that the victim won't have the resources to fight against professional patent trolls. Against experts who specialize in legal extortion, such as this example.

- "...regardless of how we felt about the validity of this patent pressure, we could not devote the time, finances and energy to take up that battle"

These types of predators are the natural enemy of HN.
As with many other words, trust means different things, so you're not wrong
There was an lawsuit against Microsoft in the past that they lost because they used to treat contractors almost like employees. I'm guessing that is why these days most contractors are employed by someone else and not truly independent.

https://www.reuters.com/article/markets/companies/dont-treat...
Operators that just render a config are a waste of resources. Operators that manage state of other operators (e.g Deployment) or external resources (e.g Crossplane) are a really convenient, developer-friendly way of solving infra automation challenges.
Oh I see!
He's talking about EA's remastered product rather than Open RA.
Temperature varies by altitude. Mach 1 at 30,000 ft is 677mph, mach 1 at 35,000 ft is 663 mph.
I wonder if instead of Jevon's paradox, we will get Wirth's law (which states that software gets slower faster than hardware gets faster) applied to AI - meaning that instead of using existing battle-tested software, people will be more inclined to roll their own crappy versions, as the cost of building your own stuff is lower.
> But "have fewer drivers" is those people losing their jobs, which isn't really helping them out.

Laws that regulate how people can be treated by employers have always been a balance between _some_ people having it worse (ex, their jobs not being available) so that the _vast_ majority of people have it better.

The same things is true of things like safety regulations. It costs more to be safe, and you have to charge more or hire less if you're going to have them. But overall, society is better for them (even though some people no longer have jobs).
huh. reading the piece it seems pretty reasonable relatively (we clearly are living in an interesting moment...) speaking.

what exactly are you commenting 'not like that' about? or are you (e.g.,) a federal contractor yourself?
Not necessarily true, one quick pass might be needed but quite not as devastating as it might seem

https://huggingface.co/blog/mlabonne/abliteration#%E2%9A%96%...
those will come, but it's worth noting none of these models are actually r1-derived, they are based on the distills
It's extra funny coz most of the top American LLM products have censorship stuffed to their gills.
I see "gripping his handout" as significantly more vivid than the uttered response -- which OP confirms to have eluded their memory. That's the story: the teller's reaction to the question was more visceral than verbal.

Sometimes the truth is inherently dramatic. I know that when I've responded in that way -- clenching and mumbling a monosyllable -- the clench is honest, the syllable may be effectively meaningless.
I believe they mean a cover as in a case that has a folding cover, not as in the external layer of the phone itself. So you effectively turn that otterbox-ish thing into a faraday cage that will enclose your phone.

I am not sure how I follow how that isn't completely negated as soon as you go to actually use the phone, though.
The future of Rebble
https://github.com/google/pebble
One thing I'd love to hear opinions on from someone with more free time to read these papers from DeepSeek is: am I right to feel like they're... publishing all their secret sauce? The paper for R1 (1) seems to be pretty clear how they got such good results with so little horsepower (see: 'Group Relative Policy Optimization'). Is it not likely that Facebook, OpenAI, etc will just read these papers and implement the tricks? Am I missing something?

1. https://arxiv.org/abs/2501.12948
Thank you, this is something I think people really misunderstand about "money" in our system. Every time I create a "loan" for a family member I've technically created (i.e. debt) I've done the equivalent as to what a bank does to create "money". The question becomes if I can take the IOU I have from my brother, and trade that to another individual when I need to acquire goods.

The fact we have a mechanism to create trust in trading debut is about assigning and managing risk in the payment of that debt, and transferring/holding that risk over time, which is a separate aspect to the raw creation of money concern (managing total debt loads).