skysight-inc/HackerNews huggingface dataset:
> Imho, sponsors of this bill want to collect dossiers and use them to blackmail opponents in the future.

I wonder how it is that the NSA hasn't already enabled that. One of my early concerns with government spying is that we'd up with some kind of NeoMcCarthyism on crack where someone in power would be able to discredit any inconvenient person or even identify and eliminate the career of a potential opponent before they grew to become a real threat. It's astonishing to me that with the wealth of data being collected already it hasn't happened. We've certainly had some very petty and morally bankrupt people in high positions who I'm sure would not have hesitated to abuse that information.

The risk is certainly real, and laws like EARN IT would only make it easier. Even today it seems like it'd be trivial for someone in power to plant a forbidden sequence of zeros and ones on somebodies mobile device at anytime and ruin them.
Do you see a connection between limited liability and AI, or are you going in the direction of "free gifts to corporations"? I'm trying to understand how limited liability interacts with AI and corporations.
You're comparing the ability to speak truth to power to the powerful being able to do whatever they want. I'm not sure how you reached the conclusion these are the same.
Lithium ion is already over 250 Wh/kg so that calls into great suspect the rest of the numbers.
you could join linkedin?
EmergentProperties has entered the chatgpt
> but smart people are more resistant - for the mere fact that they probably know more and are better versed in the goings of life -

Nah, you just run a different playbook. You gotta leverage that arrogance. Like Bankman-Fried.
> injecting markers like session ID, etc or triggering alerts / escalations.

I'm not sure I follow what you mean by this; if GPT refuses a task it'll escalate and lock you out until a human reviews? How would you make this safe without making it incredibly annoying to use?

Bear in mind that GPT's memory doesn't necessarily block future injections either. Tying everything to a single session doesn't mean that users can't try an injection multiple times.

> Plus in the real world you can always find a new teller.

Not 100s of times at scale. Only the largest companies have anything approaching this kind of problem, and coincidentally that's often viewed as a security risk. In general, the more wide your pool of people are that have privileges, the less secure that access is.
data points to no:

https://calculatedrisk.substack.com/p/4th-look-at-local-hous...

prices may not rise but there’s no inventory.
lucid is eagerly waiting to trounce MB and BMW on the high end.

Their cars are seriously impressive and, unlike their competitors, are proper electric luxury cars from the ground up.

Compare the Dream to the EQS, for example. A super elegant big-body luxury land yacht vs a bar of soap on wheels.

They don't have a E-series or 5-series equivalent just yet (the Dream Air is too relatively expensive at $99k) but they are preparing.

I have stock in LCID (that and WeWork are the only SPACs I kept), so I'm biased, but I'm holding for a reason.
Oh yeah, that's a thing. And try catching a cab in Jerusalem during Ramadan. All the cab drivers are Muslim and you'd better have an alternate means of transportation.
Guns and food.
Most cities predate the invention of the automobile.
I think the US government has debunked that for us, repeatedly and thoroughly. If this is really their argument they've already lost.
If you try to take 4+ weeks off, you typically find out that "unlimited" actually means "up to N weeks per year", where N<4.

How about 6 weeks of yearly PTO (paid out at the end of the year if you don't use it) along with some amount of optional unpaid?
Apple’s Fintech competitive advantages are distribution and patience
Completely agree. Also a reminder that there are things to be scared of, today. People getting abortions in states where it's illegal need their communications to be safe and secure. The current forced medical detransition of adults in Montana means people are going to need to rely on underground distribution networks for their medication, starting in a few weeks. Their communications need to be secure from government spying as well. The police are not your friend. It is no longer necessary to talk about theoretical futures or nebulous harms to privacy, the unjust laws are already here (& should be ignored, fought, frustrated, or routed around, as necessary). We do not need a cop on our phones.
Stable diffusion stagnating? Compare the last models on civitai with the original model, it's night and day, and the tooling keeps improving too. There are still issues to iron out on both but there has been a lot of progress.
GDP is measured both as production and as consumption. The figures have to be the same, within a "statistical discrepancy". The consumption is final consumption: goods and services used by households.

You are asserting that households will each have 100 times the income that they do now (and be spending the same proportion of income as they do now).

Edit: I believe that if most companies, or even a significant minority of them, can make effective use of LLMs, the most likely short term effect is a prolonged recession (i.e. steadily declining GDP, not increasing) with high unemployment.
My Honda source say they “fixed” this in 2022+ meaning signed CAN bus messages and John Deere level ECU signing on headlight bulbs.

In fairness the headlights were probably a $500 LED board anyways.
Have you ever operated a fleet of critical JVM instances and needed more memory? Don’t go over 32GB ram in an instance or the operating characteristics of you entire app change. Compressed memory pointers - oops. They are a blast to debug / operate!

https://stackoverflow.com/questions/25120546/trick-behind-jv...
The degauss buttons on CRTs worked almost instantly.
It's like people have forgotten that ICEVs started without any of that infrastructure in place. Even if we can't buy petrol from pharmacies, methanol and ethanol engines are a mature technology and the fuel is both cheap and easy to get. The practical reality is that lack of fuel stations is a pain in the ass, but the strength of ICEs is that they can be modified to run on different fuels. And fueling them is easy.
The only reason Bitcoin and hence crypto actually worked is because the creator all but disappeared. This removes any and all conflict of interest for the rules of bitcoin. Unfortunately no other coin has this, and Satoshi can actually come back at any time.
$20 if you're a home user?
Weirdly enough, that's not completely accurate as I discovered from moving to the UK.

In Australia (where I initially moved from), the term "Asian" does indeed refer to people from East or Southeast Asia.

But it turns out for people in the UK, the term "Asian" refers to people from India (and immediate area I guess).

(!) For East/Southeast Asia, they use the term "Oriental".

It sure surprised the heck out of me.
No, iteration doesn’t capture the essence of the problem. Iteration is much more general.

Having words for specific problems is a good thing. It gives us a handle on the concept and let’s people talk about it
> Whether it will make money off of the credit.

I'd flip that around: whether it will lose money off the credit, not whether it will make money. Based on my time in credit risk this is more accurate to how banks actually think about loans. The upside for each individual loan is much smaller than the downside, so the threat of loss dominates the discussion.

Once you flip it around like that it becomes much less attractive to think of forcing banks to make loans that they expect to lose money on.

> if not a democratic oversight, at the very least a clear set of democratically chosen rules over what kind of loans should be given.

Which, again, we already have. There are many rules and regulations about what information banks may and may not take into account when deciding which loans to approve, and what interest rate to charge. Rules put in place and enforced by the democratically elected government.
Just more generally, I was wondering if people might share their experience of Islam? I'm quite ignorant honestly.

How did you come to find the religion? What impacts (positive and negative) does it have on your life?

One thing which has made me uncertain, is the praising of martyrdom throughout the Quran. How is this aspect reconciled within peaceful societies? I mean no disrespect through this question, and recognise this may not be the best place to ask.
No code fails because its promises "coding" like features. I think it would be more successful if it did not try to be a gateway drug into programming. Its best if it just does its own thing.
That’s rich coming from the guy who couldn’t even answer a basic yes/no question by Congress, “Is ethereum a commodity?”.

His congressional testimony was a joke. How that man still has the job of SEC chief is quite the mystery. Being CFO of Hillary Clinton’s 2016 campaign is probably a factor.
> Then it will come out it's being sold for marketing purposes

You forgot the last part: then we'll learn Apple has been granting near-automatic access to any three-letter agency that wants to read your journal.
Is this sarcasm because Google does all of these already?
Would be super super useful over WhatsApp.

Is it possible?

There are some cases where only WhatsApp is available as free WiFi...
mmmm-hmmm
I'm not even sure why my experience as an author matters. As I said in the very beginning of this giant thread, I work in the industry. Most of the systems I've encountered or heard about are not the beautiful automated platforms critics imagine them to be; and I am not even talking about technical intervention.
Exactly, those are far more convincing arguments than "well let me see your phone then".
"Now that we’ve established that Apple collects and uses your data to serve ads, does it sell your data too? Turns out the answer is No, Apple doesn’t sell your data to third-party advertisers."

Thanks for providing your own refutations. Now stop lying.
Everything is propagada nowadays
Peterson is indeed quite the victim, but I wonder how much of that is down to his drug addiction and attempted crash treatment?

There are many countries on Earth that score higher on the KPIs you listed (though birthrate is lowering most everywhere); perhaps you could look to them as models.
Yes they seem to take the view into account, but this sentiment as if the question is settled and we aren't anthropically-projecting, or whatever the term is, is premature. Just because two processes produce a superficially similar result, does not make them the same process. What you just described after conceding that though the brain may be a statistical inference machine it still seems like magic.

It is telling that you talk about all those things happening in "real time." Ask any super-regarded philosopher, from Plato to Wittgenstein (yes I'm excluding Dennet et al), and that would be quite the hoot to point out.
> I would buy that in a heartbeat.

You and not many other people ¯\_(ツ)_/¯
Yes, because threat of punishment stops all
Making Games with Bing Chat/GPT4
How much can it really add? 4wd is a LOT better than RWD and electric motors make it much cheaper.
I think it’s the last paragraph I’m really disagreeing with. Many many application will do just fine with a single Postgres. If that is not enough even on a big box, they can scale out to a large master system like aurora. If that is not enough, it’s much easier to try and scale with something like Vitess or Cockroach that offers a lot more consistency and correctness out of the box.

Scylla is great for specific workloads, but it’s a niche tool that makes sense for specific high volume workloads but I wouldn’t recommend it as a general purpose application development database. It will slow you down a lot and a lot of really simple features will be hard to implement.

Also I’m not talking about ORMs. Writing SQL by hand in your application is 10-100x more productive for feature development than using something like Scyllas APIs directly IMO.
Does tenure really make the best professors? In my experience it only creates an incentive up to the point of getting tenure, then most of them hibernate until retirement and take up space without producing much because they have no need to. IMO a good professor is great even without tenure. If they are just trying to fake it til tenure pushing cheap research to then have them take up a slot and resources to sit around, I rather ban tenure.
I asked Chat GPT:

> Tehari is a rice-based dish that is popular in Bangladesh and Pakistan, as well as other parts of South Asia. While the basic preparation of the dish is similar, there can be differences in the ingredients and flavor profiles used in Bangladeshi and Pakistani versions of Tehari.

> One of the main differences between Bangladeshi and Pakistani Tehari is the type of meat used. In some regions of Bangladesh, beef is a popular choice for Tehari, while in Pakistan, goat or lamb may be more commonly used. In some regions of Pakistan, there are also variations of Tehari that are made with chicken or fish.

> Another difference is the level of spiciness. Bangladeshi Tehari is often spicier, with the use of more hot chili peppers and spices such as cinnamon and cardamom. Pakistani Tehari, on the other hand, may be milder in flavor, with the use of more subtle spices such as cumin and coriander.

> The type of rice used can also differ. In Bangladesh, aromatic long-grain rice such as Basmati is often used, while in Pakistan, a shorter grain rice may be used.

> Finally, there can be variations in the way the dish is served. In Bangladesh, Tehari is often served with a side of lentil soup and a hard-boiled egg, while in Pakistan, it may be served with a side of raita (a yogurt-based side dish) or pickles.

> Overall, while both Bangladeshi and Pakistani Tehari share many similarities, there can be subtle differences in the ingredients and preparation that reflect the culinary traditions and preferences of each region.
I’m not against OSS, just frivolous ones funded by companies who should have no business doing that stuff. It’s not news that orgs like Uber were indulging the development and release of such projects so they can keep the fairly jobless highly paid engineers happy. There’s no way you can make an argument that the development and maintenance of airflow had any real bottom line effect on their ability to make a home rental market place. The true technology companies don’t and never did release oss solutions that were not fundamental things they could do well and needed to do well. I’m again happy (maybe I’m not) that airflow exists thanks to airbnbs indulgence, but as a bottom line for the company it doesn’t make sense. Especially in the current environment where you now are suddenly forced to show real value for your spend on engjneeeing.
Oh, cool! I thought that only A/UX had made use of them.
On Ruby, '/' and '\' function identically, presumably due to normalization underneath.

File.join(too_long_identifier, some_other_long_identifier).gsub('/', '\\')

is often useless and nauseating to read when

"#{dir}/#{filename}"

is portable enough for most of Ruby's File APIs.
Its getting harder to keep old projects alive as the tools get deprecated and LTS every 6 months because they want to keep mindshare.
Is not giving a yes or no bad?

Maybe it isn’t clear?
I'm saying that many things that cost $100 in 2020 will cost less than $1 for the exact same thing in 2028. It is already happening in 2023. How much would it cost in 2020 to get a 2000 word essay written at a 10th grade level? What is the cost of the same service today?

When a service costs goes down 99% that 99% goes directly into GDP growth.
> After some investigating, they found out that the Pu'Erh tea he consumed was the culprit.

Oh wow. Wonder if they tested the same tea at the place he bought it from too.

Just in case... you know... the tea from there didn't have the arsenic in it. (!)

Of course, if he lived by himself that's unlikely to have been a problem. ;)
Has anyone else noticed news articles taking another steep dive in writing quality recently?

The first major dip was right in early lockdown era. Now i'm finding articles to have increasingly less relevance/substance related to their headlines in the period of the last month or so.

It seems like the easy answer is AI, but I think AI would do a better job. Am I wrong?
That seems impossibly black or white. I am not sure there is any product which is perfect in all dimensions. At some point you have to compromise with the state of the world and accept some bad with the good.
I would love to have a dedicated server to run custom LLM models like llama, alpaca, but with dedicated context and memory (like knowning my codebase :).

I'm not an ai expert yet but:

1. Is this processor suitable for that?

2. Is it feasible to customize one of the LLM models directly on that machine or retraining the model requires more power?
What does that have to do with the other user’s question?
This is what I got on ChatGPT today. I assume it used GPT4:

Prompt ChatGPT Actual Match
397,356 * 930,547 369,685,207,932 369,758,433,732 FALSE
36,330 * 26,951 979,458,630 979,129,830 FALSE
8,681 * 9,330 80,911,430 80,993,730 FALSE
278 * 903 250,734 251,034 FALSE
82 * 77 6,314 6,314 TRUE

Edit: # of correct digits (counting from leftmost) only exceeds 3 on the smallest pair. It drops to two, as well, on the 3x3 set.
For this example they'd need info from the car itself. Otherwise how would they distinguish between me leaving in my car vs being picked up by a friend vs catching an uber
I feel a WAP resurgence will be inevitable once we are all in space ;-)
You can now use ".\COM1" or "COM1.txt" but not a bar COM1.
SAP to Embed ChatGPT in Products
A lot of people seem to define “selling your data” to mean “selling ads that are measured with your data”. If it’s “selling your data” when FB does that, the same is true when it’s Apple.
That's like reading headlines about TESLA RECALLS every time they do an OTA update that fixes a minor compliance issue.
https://github.com/ashish01/hn-data-dumps
Google doesn't sell your data, either, and neither does Facebook. That's a technicality that doesn't mean much.
Yes, but because space is expanding - i.e. there's a value of meters per meter per second for the expansion of space, then every point in space has a sphere around it of locations which are sufficiently far away that they are growing more distant at the speed of light.

Any virtual particle pair which appears along that horizon can potentially be caught on the wrong side of it - i.e. one virtual particle is in a part of space which is now far enough way to be expanding faster then light, whereas the other particle is at a location close enough that it is not.

At the moment that happens, there's a particle or photon which is now inside the light cone of a distant object, paired with a particle that it will never meet again because it's outside of it.

As a result, you get Hawking radiation: because one particle can go off and interact with your universe, but it's partner will never be able to causally effect anything inside that horizon again. So the virtual particle has to become real.
That is another way of needlessly essentializing the complexity.. though your distinction between matcha and sencha is not internally coherent with your own ontology.

Matcha and Sencha are the same plant, only differing in growing conditions and processing.
Or you can say the opposite and claim that there is soul, creativity, or inspiration in everything, even in inanimate objects (basically panpsychism, in contrast to materialism). But regardless of what kind of monism you take, the advent of current statistical AI models forces us to reconsider the Cartesian dichotomy between body and mind, which forms the basis of liberal thought.
> For every line of code they would have you predict all the socio-economic consequences

This is like saying for every step you take, you would have to predict if it would kill you or not. This is not how humans generally function. You make simplifying assumptions, such as thinking, "If I go for a walk at night in the jungle, would that kill me or not?" and then take action based on the overall planned trip.
The same logic applies to shon's argument: if you write code for a tactical nuke manufacturer, would that contribute to harm in the world? You can then decide whether to work at that company or not, rather than analyzing if the "int count = 0" you just wrote brings the company closer to its (likely) destructive goals.
Filtering for people willing (and able) to Leetcode is the point! When you have a large talent pool, you will have to come up with a filter; and there is also an element of luck involved - but I don't think interviewers or interviewees will be happy for an offer to be hang on a coin-toss.
> but we don’t care as long as the illusion is maintained — and it is.

> as long as the illusion is maintained (and it is)

> a good enough illusion is actually real.

> As long as the illusion works at least.

> But in practice the illusion

> maintain the illusion.

You sure like that word.

It's not an illusion. The money is real. It's real real. It's real real. There is nothing fake or illusory about it. It is just as equally real as a $100 bill straight from the Bureau of Engraving and Printing.

Stop pretending that it's not.

> But in practice the illusion is so important that the state steps it an make it real: by creating actual central money to compensate for the bank run. Heck, often just the promise of doing so is enough to prevent the bank run in the first place, and maintain the illusion.

This is false. FDIC is insurance. The money that is used to step in and rescue a bank is real money that comes from banks that pay insurance premiums to have their depositors' money insured. It's not "central money" created by the state. It's exactly the same kind of money that banks lend out to you and me. Banks pay insurance premiums to the FDIC and when a bank fails the FDIC uses those insurance premiums to step in and insure the deposits.

> Strictly speaking money hasn’t been created.

This is also false. Money really is created when banks give out loans based on fractional reserves. This is called the money multiplier effect, and it's a really important economic factor. But it's not fake money, it's real money. Real real money.
Being 'sherlocked' [1] is a time-honored tradition of 3rd party devs getting their lunch eaten by Apple. Anyone publishing an app knows they can be put out of business without notice if Apple likes your idea too much.

[1] https://techcrunch.com/2022/06/13/all-the-things-apple-sherl...
Or just provide it with sample contexts and expected responses, and ask for a prompt to produce those responses from the given context.
LLMs are linguistic mirrors, after all.
The AT Protocol Developer Ecosystem
This is actually something that is easier and more scalable to do with Kubernetes, IMO.

You would declare your app in a Kubernetes Deployment load balanced by a Kubernetes Service and configure to use the Traefik ingress controller.

You would apply two deployments, one for the blue side and the other for the green side. You would use annotations for this.

Initially, the Service will be configured to only front Pods that are on the blue side.

Deploy the deployment.

When you're ready to ship a new version of the app, build a new container image and push it into your container registry. Once that's done, update the green side with the new image, then update the Service to front green Pods instead of blue ones.

The cutover will be immediate.

Kubernetes also supports other deployment models, including a Rolling deployment, which allows you to slowly bleed traffic onto new versions while keeping the old version up and scaling down appropriately.