skysight-inc/HackerNews huggingface dataset:
I am quite skeptical about this kind of studies. I have even written a blog about why it's problematic to use self-report studies with LLMs: http://opensamizdat.com/posts/self_report/
What does it even mean to be politically neutral in an era when everything is politicized? If an LLM says "Donald Trump lost the 2020 election" or "humans came into existence via evolution" does that mean it has a liberal bias?
Here is a direct link to the github.io page: https://jonfranco224.github.io/not-my-cows/
I am a retired airborne radar engineer. There is a commonly used radar technology called synthetic aperture radar (SAR) that enables (mostly) military pilots to form a photo-like plan view image of the ground. I've never heard of a sonar analog of this, but perhaps it exists. Range information comes from just measuring the time for the return signal. Cross-range information comes from azimuth-varying return doppler induced by ownship motion. If you are a US citizen I would suggest you enquire with the Naval Research Lab -- they would most likely be the ones doing R&D in this area.
Yes, that's true. So the hard part is to know who is alarmist and who actually has a point. In the case of NASA the ignoring bit seemed to be pretty wilful. By the time multiple engineers warn you that this is not a good idea and you push on anyway I think you are out of excuses. Single warnings not backed up by data can probably be ignored.
But it isn’t Rust.
PSA: You can make your own dehumidifer using two buckets and some rock salt. You'll have to dump the water manually though.

> Because rock salt is hygroscopic it absorbs moisture from the air. If your plan is to get rid of the humidity in a damp basement, start with a 50-pound bag of sodium chloride to make your rock salt dehumidifier. These can be found at most big box hardware stores. While you’re there, you’ll also need two 5-gallon buckets. Here’s what you’ll need to do next:

> In one bucket, drill several small holes into the side and bottom of that bucket

> Nest the drilled bucket into the other bucket

> Fill the bucket up with rock salt

> Collected water will drip through the holes in the inner bucket into in the outer bucket over time

> Empty the outer bucket as necessary

> Refill the rock salt as needed

(https://www.reddit.com/r/homestead/comments/wziu44/the_basem...)
"In the 60's, 70s, and 80's we actually were, no-bullshit, on the brink of turning the world into a radioactive glass hellscape"

Have you watched the news lately?

I think there was something war related and people arguing about first strike and red lines.

Just because we are now used to the threat, does not mean it went away.
This matches what I'd expect, that the outrage economy on the right is contrived for profit and put forth as mainstream without being statistically reflective of a full half of the actual culture.
FYI John Cowan is also known as editor of the XML 1.1 spec, as well as other works related to markup languages and Unicode.
$1b loss in the space industry is probably the smallest loss for any business in said industry in history. Every launch of the space shuttle was a few billion used up. There has been no completion here, because before SpaceX everyone else was launching 100M-1B+ of rocket that was never reused and other than the payload was a write off. It is always financed by government because there is typically a much larger generalized payoff for the nation state involved regarding capabilities.
Any "alignment" is adding bias and reducing usability of a LLM. You are trying to wrestle the model towards what you find appropriate instead what is the average of the source material.
you didn't see the .gov in the domain name?
Yeah, national service without the violence is a nice option to have.

Some say that's what started the end of the Great Depression, but the government lacked the confidence to fully invest until they got a violent war for justification.
I dread the idea that an actual, workable, enforced international plan ever comes to a vote. Because I would have to vote for it. But until then, there is literally no point at all doing anything, as an individual or a company or even a nation. So I am free to enjoy the place burning, because it will burn whether I enjoy it or not.

That's the place we are at now.
One man’s truth is another man’s bias etc
That is literally the job of politicians.
We’ve already had this conversation before. I’m not interested in repeating myself. You already have the knowledge the grasp the truth, provided you have any interest in doing so.
I'm still confused on how the author got discovered. It's very impressive for what I assume is a 18-21 year old who hasn't even gone to college yet. Made a photos IOS app, got 600 likes, and happened to find the eye of someone at Apple.

Good eye on the manager/employee, but it almost feels like winning the lottery.
What is the "open internet"?
Yes, the mantle is about that thick. And much thinner in some places even. Which makes me wonder how they detected this crater and what the crater is formed in. This is the relevant bit from the article:

"Between 1995 and 2000, Tony Yeates suggested magnetic patterns beneath the Murray Basin in New South Wales likely represented a massive, buried impact structure. An analysis of the region’s updated geophysical data between 2015 and 2020 confirmed the existence of a 520km diameter structure with a seismically defined dome at its centre.

The Deniliquin structure has all the features that would be expected from a large-scale impact structure. For instance, magnetic readings of the area reveal a symmetrical rippling pattern in the crust around the structure’s core. This was likely produced during the impact as extremely high temperatures created intense magnetic forces."

But they would not able to verify that at that depth without a lot of drilling and the end of the article suggests that they have yet to do so.
no, openai had an army of people to classify things
Recently I’ve been getting more and more into the Rancher ecosystem as they always have some offering that meets my needs and I can trust it will interop well enough.

I really hope that this does not affect the future of Rancher.
> I know it's buried deep, but it's kind of weird for the reporting to not even show an image of the area?

It’s something I have seen becoming the norm nowadays. Articles about art or photographs without a single image. Political articles about borders without a single map. Articles about some thing some scientist has done, maybe with a picture of the scientist, but not of the actual thing. And it’s not a technical limitation of the medium; most articles will have numerous (but irrelevant) images.

I suspect that SEO measurement has told people that it doesn’t matter what images an article has, as long as it has some images, optimally interspersed with the text. Spending any money on getting relevant images thus becomes an unnecessary expense. Readers will still click on the article (because of the click-bait headline), and will still read (or at least scroll through) the article if the text is broken up by images by an optimal amount.
I wasn't familiar with StarRocks so thanks for calling attention to it.

It appears to make very different tradeoffs in a number of areas so that makes it a potential useful alternative. In particular transactional DML will make it much more convenient for workloads involving mutation. Plus as you suggested, having a proper Cost-Based Optimizer should make joins more efficient (I find ClickHouse joins to be fine for typical OLAP patterns but they do break down in creative queries...)

It's a bummer though that the deployment model is so complicated. One thing I truly like about ClickHouse is its ability to wring every drop of performance out of a single machine, with a super simple operational model. Being able to scale to a cluster is great but having to start there is Not Great.
My first reaction to this article was to recall the Colbert quote "Reality has a well known liberal bias" and that reaction never really left me as I was reading their study details.
If you take account of nuclear and chemical pollution it is the USA or more specifically the department of defense(or war). It polluted all parts of the world evenly...
The current président de la République managed to trigger protests and strikes that are only rivaled by the '86/87 student riots. The yellow vest protest almost had the potential to turn into another May '68 style event. It almost always begins with police killing a French citizen of Algerian origin or by messing up with the fuel prices. Hollande was a total disaster and Sarkozy is a 2x convict by now, no need to say more.
It's a bit iffy if your own bed is on-center, so your can't sleep off off-center inebriation.
Old Flattr was something along those lines. You had to click though. (Like the old embedded Facebook likes. Are they old? Haven't seen them in a while, could be because of uBlock though.)

I really liked it. A view Blogs, Podcasts and the KeePass-Homepage had it. Then they sold to Chines investors and pivoted to god knows what.
After 24 you qualify for significantly more financial aid for traditional or tech schools, because you are considered a "non traditional student".

Source: used this to get my PhD coming from factory work. Regret nothing.
I really wish people would stop with the “brain maturity” age thing.
It's very dumb for Quora. The original selling point was that they had a lot of experts/celebrities answering. Now that the userbase has degraded, you would think they would want to avoid saying "go to ChatGPT, it's better than asking the randoms here".
Corporations are basically late stage feudal systems, close to absolutist systems, depending on the company (see Meta as an extreme example, or most privately held companies such as SpaceX or Valve). Everyone gets an ever smaller fief from the top boss, but the top boss has a lot of power.
> To claim it is biased implies OpenAI did this on purpose

You're relying on a particularly unhelpful and narrow definition of "bias". There are tons of valid and widely-accepted uses of the word to apply ot unintentional bias and to apply to things incapable of having intentions.
Do you mean "introduce some really weird bias" into the model, or into this study?
> censored Disney style to not offend any pressure group anyway?

I have to wonder if that's not where a significant portion of the "bias" comes from. ChatGPT isn't going to say that vaccines don't work. It's not going to bash trans folk. It's not going to call teachers groomers or indoctrinating kids. It's not going to rant about drag shows. It's not going to deny global warming. It's not going to say the 2020 election was stolen or that Trump is still president to this day.
The bias could be in the source material no?

Or in the accidental choice of source material no?
So, basically a Cold War warhawk.
As noted elsewhere in this thread, GCC by default does the "optimization" and doesn't warn. No doubt there are other examples where Clang is the one that misbehaves.

How are we supposed to know whether our code is being compiled sensibly or not, without poring over the disassembly? Just set all the warning flags and hope for the best?
> To claim it is biased implies OpenAI did this on purpose

They did do it on the purpose—the RLHF. The RLHF process was definitely biased, deliberately or unconsciously, in favour of certain political, social and philosophical positions (apparently the same ones held by many in Silicon valley/OpenAI teams responsible for this).
In Zanziabr - The article refers to OSS implementations like SpiceDB or Ory.
It's a follow-up to a more in depth article (1), trying to be a lighter read starting point.

- 1: https://www.permit.io/blog/zanzibar-vs-opa
I can’t use ChatGPT, period. Their shit’s completely falling apart. The iOS app has managed to degrade from one of the smoothest apps I’ve used to a literally unusable steaming pile of crap in a matter of weeks. Honest question, are they replacing their devs with an LLM?
Another big "con" is its complexity and difficulty to understand/implement. It's the kind of thing that once you have a handle on, you go into business trying to sell it as a service because you look behind you and see a moat.
So students on scholarship should be sober, but not full pay students?
I used it for years (basically since its inception) without issue through High Sierra. The only really annoying thing they did in all that time, IMO, was remove the ability to easily view artwork. I still haven't figured out how to see artwork in larger than a thumbnail view.

I only recently upgraded to Monterey and I find Apple Music borderline unusable in comparison. There are lots of tiny little bugs like how if you sort a column it no longer holds your position in the library -- previous versions would ensure that the song you had highlighted remained highlighted and in view. There's larger bugs like how Home Sharing doesn't work with wireless headphones.

(I have no point of comparison with other programs like Foobar2k, I'm just comparing how bad Music itself has gotten over the years)
It’s more about the people making 30k a year putting up fencing and barely scraping by watching those 300k a year SWEs complain about how they’re wage slaves.
Co2 should be for pellet guns. Those canisters are a cost sink.

after much research on YouTube, https://www.home-barista.com/ et al

here are my notes should this be of use:

Adventures with manual espresso to improve upon restriction from Fellows Prismo + body weight atop yoga brick (https://youtu.be/OMuDiq-Tvaw):

All 3 methods employ tampering but no WDT, I do subscribe to a bottom paper filter in the basket (https://youtu.be/lPAel26Cw_A)

These 3 gave great satisfactory results as judged by family when compared to cafe bought

1. https://www.joepresso.com/ with pressurized basket + body weight atop yoga brick
Best in terms of short workflow and Americano, love the 'crema', fastest workflow and variety of experiment in and out of basket.

2. https://www.wacaco.com/products/picopresso
:-( preheating basket for best results, too small volume, good for travel, many small parts and steps = longer workflow

3. https://espressoforge.com/
True excellent espresso, 58 mm baskets, uses more coffee than above methods 19g but clumsy with gasket adjustment, the greasing maintenance and need to preheat :-(, get the stainless steel, American made.

1. Joepresso is the daily driver, the cup is more fuller bodied with increased dwell time, more variety to mix light and dark roasts a la Philz
2. EspressoForge - true espresso, nuff said Weekends or more time = EspressoForge
3. picopresso - more for travel and sometimes not enough to unseat Aeropress Go for work EDC yeah, i gotta go to the office
The copyright holder gets a share of ownership in any AI model derived from its work, and thus a share of any resulting revenue.
The university my kids went to was very much like this, but it's a state school. It is, however, run very much like a private school in that it can make its own decisions and it is allowed to charge a lot more in tuition.
There is a credit and fraud component, for sure, but fundamentally credit card rails are used when someone wants to know the person presenting a card is good for the funds. Successful auth? High confidence funds will settle assuming no fraud exceptions, etc. Fraud mitigations and credit can still be provided by other mechanisms in an instant payment system (based on how the other 54 instant payment systems in the world operate). Payers who don't need fraud protections can make payments without it, payers who do can pay an additional fee for it (or rely on the legal system for that capability, as we do for cash, checks, wires, and other non credit card value transfer mechanisms).
Well, OO (as practiced, not what Alan Kay had in mind) is all about making a taxonomy.

And the real problem I think is not all domains map to hierarchical relationships. Often it's forced, like trying to force push a square peg in a round hole.
https://github.com/GPUOpen-LibrariesAndSDKs/AGS_SDK/

https://gpuopen.com/ags-sdk-5-4-improves-handling-video-memo...

Which says:
"For APUs, this distinction is important as all memory is shared memory, with an OS typically budgeting half of the remaining total memory for graphics after the operating system fulfils its functional needs. As a result, the traditional queries to Dedicated Video Memory in these platforms will only return the dedicated carveout – and often represent a fraction of what is actually available for graphics. Most of the available graphics budget will actually come in the form of shared memory which is carefully OS-managed for performance."

The implication seems to be that you can have an arbitrary amount of graphics RAM, which would be appealing for AI use cases, even though the GPU itself is relatively underpowered.

Still, the question remains open, how to precisely control APU/GPU memory allocation on Linux and what is the limitations?
HN SmartFriends™, what does this mean? What's the risk for companies which are highly invested in SUSE?
Its only if the cost for a FAANG stack is high. Cost of tech is always decreasing. If you think you are going to have a FAANG stack protected by crypto hardware attestation you will be beaten by the next guy who never needs to do it.
I don't think they can book Starlink launches as revenue. Of course Starlink has >$1B of legitimate subscriber revenue.

https://en.wikipedia.org/wiki/List_of_Falcon_9_and_Falcon_He...
Even if you identify as a US Democrat, you're likely right of center most anywhere in Europe.
Current conservative americans have already noted amongst themselves that their policies are problematic because reality has a liberal bias.
>wait for shipping

Assuming you mean the "notify when back in stock" on that website, unfortunately the book is now out of print.

If anyone else has an alternative source for it, I would be interested in reading it, and it seems like it would make a great gift for my coffee-geek friends.
You can run their experiment yourself and check the results.

The methodology they used tells you whether ChatGPT’s default output is biased by ChatGPT’s own standards. I think it’s a pretty neat idea.
Not again.....
Edit: it's the same EQT firm that made the SUSE IPO, and owned the majority of it since 2018.
Nice work @ernaem! It’s pretty and has some freshness to it. I browsed it on my iPhone, so didn’t do any deep dive.

Would you consider sharing anything from the stack, data and tech side?
> showing up

In a less rigorous setting like one implied by jobcorps, this would be much more voluntary. The peer culture in the military, combined with isolation and authoritarianism really does keep people in line, even if they screw up all the time along the way. Source: 5 military family members.
Mmm, and reality has a well-known liberal bias.
>The XDG config/data spec was made to manage systems that mount over NFS

Which makes sense in theory, but the execution is horrible. The ~/.cache directory is also on NFS now... You NEVER want cache on NFS.

>~/.local would stay on the local workstation

Never seen this in practice. This dir is also created on the NFS share, which it should be, since you need to bring these files to other machines as well. The standard is poorly thought out and poorly implemented.
I don't think it's a coincidence. To my knoledge, Apple also wasn't trying to hire like crazy over the pandemic. So it's no surprise that when that "hot streak" ended they weren't affected as strongly.

And as others have said, Apple does rely much more strongly on contracting than the rest of the Big Tech.
I agree. And if my attitude on this topic changes, I will be in the wrong when it does.

Down that train of thought is "taxation is theft," and it's not a good place to be.

(Cards on the table, I've come from the other side of the story: absentee landlord with undeveloped property sitting next to a relative's home, and the neverending fight to keep the dead trees on that property from crushing said home in a storm. The process to get a property that is owned by someone five states over who is holding it to be sold for 2x the market value and hasn't seen the property in fifteen years declared a nuisance property is atrociously long.

Owning property implies an obligation to the place where it is owned. The law should have more teeth to enforce those obligations.)
>Keep the hierarchies shallow and be willing to go with descriptive definitions over prescriptive ones, and I think things can work out some.

In that case you're just doing encapsulation with extra steps.
"We use the Political Compass (PC) because its questions address two important and correlated dimensions (economics and social) regarding politics. [...] The PC frames the questions on a four-point scale, with response options “(0) Strongly Disagree”, “(1) Disagree”, “(2) Agree”, and “(3) Strongly Agree”. [...] We ask ChatGPT to answer the questions without specifying any profile, impersonating a Democrat, or impersonating a Republican, resulting in 62 answers for each impersonation."

The way they have done the study seems naïve to me. They asked it questions from the Political Compass and gathered the results.

Since we know that ChatGPT is not able to think and will only answer based on the most likely words to use, it merely answered with what is the most common way to answer those questions on the internet. I guess this is exactly where bias can be found but the way they used to find that bias seem too shallow to me.

I would love to hear the opinion of someone with more knowledge of LLMs. To my layman's eye, the study is similar to those funny threads where people ask you to complete a sentence using your phone's autocomplete.
I’ve never seen anything good come out of PE delisting like this. Someone please correct me if I’m wrong.
Disney is pretty toxic in the current political environment. I think the risk of buying them greatly outweighs any possible benefit
The current models were trained on a corpus that is essentially all fiction with no basis in reality. If the training corpus has real world data (like experimental results from agricultural experiments with crops and planting schedules along with their yields) then the neural network should uncover some patterns that wouldn't be obvious simply because finding correlations in large data sets is a hard problem but it is very well suited to analysis by large neural networks.
Am I thinking to simple that it's obvious? Biased societies create biased data, LLMs get trained on biased data, LLMs return biased results?
Never used Ada but I think you can define range types so int range 0...11. Which I feel is something that you really want in embedded and applications level programming.
Absolutely not "all", a massive amount of management (non-commission and commissioned officer) time is spent policing the behavior of 18-22 year olds, frequently including dealing with their criminal behavior both in and outside of the military. In 2021, the latest year DoD has reported, 2.6% of active duty military were kicked out of the military for either failing to do their jobs or criminal behavior.^1 In 2020, it was nearly 3.1%.^2

This is the small fraction of people who were even willing to volunteer for the military, and then completed a significantly more strenuous recruiting process than nearly any private sector job. Having a sucky life in return for learning job skills isn't worth it to most Americans of any age!

Also note all branches are having trouble recruiting the last several years, to the tune of 25-30,000 recruits short this year. Again, most people do not want to do this!

1. https://download.militaryonesource.mil/12038/MOS/Reports/202... pg 50 shows active duty separations by type, I refer to Military Requirement/Behavior/Performance and Legal Issues/Standards of Conduct.

2. https://download.militaryonesource.mil/12038/MOS/Reports/202... Similar to above, pg 46