skysight-inc/HackerNews huggingface dataset:
I'm not an expert on MMT, but I've never heard anyone say that. MMTers say that a government cannot be forced to default on debts denominated in its own currency, but that doesn't mean it can control exchange rates if it chooses to prints money to pay them. MMT encourages a broader range of thinking about what's possible, but those possibilities aren't free of consequences.
If it wasn't against their TOS, ChatGPT is a great tool to help build ChatGPT.
> and an open society like the US.

Surely you jest.

> A free and open society gives people the choice to use whatever they want within sensible bounds

Right. It's people not China and the CCP. Tiktok can still exist outside of the US and serve content to US visitors. ISPs will not block it. But the company itself which is operated by people associated with the CCP cannot operate and make profit in the US.

If you like tiktok you can still use it.

But even if ISPs banned tiktok, the restriction is intended to harm tiktok, you can't reasonably argue that the US is trying to prevent its people from accessing legitimate tiktok content. Matter of fact, tiktok's chinese owners have been advised to divest their stake in the US arm of tiktok so it can continue to operate in the US and you can enjoy tiktok.

The choice if it comes down to it is made by tiktok's chinese owners refusing divest their stakes with fair compensation (even above market some would say)

> In an open society, people are free to use apps regardless of who may or may not be behind them. That's the price of freedom: bad actors, unpleasant words, unpopular views, and the freedom to be a jerk.

No, free does not meen freedom to harm or harass others or as you probably know "yell fire in a crowd". There are no protections against malicious and provable intent in any society, free or not. It could be a speech or even your thought, if it can be proven that your intent was malice then you acted in abuse of the liberites granted to you and forfeited their protections. Moreover, you cannot argue that an act against a company (not a person with rights) is an act against its users without proving that the government was intending to restrict or harm the company's users.

In a free society, you do not have the freedom to access tiktok, you have the freedom to become tiktok or use many of the alternate competing services.

Companies are denied license to operate in the US all the time, a free society is free for people not random foreign corporations.

Corporations are not people.
Hedge fund manager here. Depositors and banks are counterparties, and every financial institution & fund I’ve ever encountered does significant and ongoing diligence on their multiple banking relationships.

It’s hard to imagine how irresponsible these VCs and startups were.
Look for startups that have recently secured funding. Startups that have recently raised funds may have a bit more stability than those that are still trying to secure their first round of funding. You can look for news articles or press releases about funding rounds to find out which startups have recently raised money.

Check out startup databases. There are several databases that track startups and provide information about their funding, team, and products. Some popular ones include Crunchbase, AngelList, and CB Insights. These platforms allow you to search for startups based on various criteria such as industry, funding stage, and location.

Attend industry events and conferences. Industry events and conferences are great places to meet founders and employees of mid-stage startups. You can network with them and learn more about their company culture and opportunities. Some popular events and conferences for startups include TechCrunch Disrupt, Startup Grind, and Collision.
Because the engines would have to conform to the strict mandates of the regulations and any innovations would have to seek regulatory approval with the usual ‘regulatory capture’ rules in effect.
Crazy. How did the story with narrow bank end?
We use it to get consistent results, otherwise only 30% of the generated images have the right composition.

For example, Astria has its own trick to increase the number of headshot in frame, if you download the checkpoint and run it locally you will see that it doesn't handle well negative prompts (which, IMHO, is usually a side effect observed on fine-tuned style models with dreambooth). With this trick you can get up to 70% of headshots in frame but won't reach 100% without risking a loss of prior knowledge. This is my experience so far, maybe you have another opinion based on your experience.
You can't reform a bad institution from within as a low-level worker. Workplace culture comes from the top.
I’m currently slapping together something like this, though the highlighting of code is automated – in a sense – when an error is piped into the program and the error stack is used as a prompt to find a solution to the error.

The goal is to splice a solution into a file on a new branch, write a test to ensure it resolves the issue (if necessary), then create a pull request describing the change set and how the test addresses the issue.

I’ve so far worked through it manually and it works okay, but for fairly limited scopes. Like, why didn’t this environmental variable load properly? Why couldn’t we parse this input? Why did this time out? No big picture stuff.

I have a feeling GitHub will be adding this directly to repositories so initial solutions and ideas (perhaps even fixes) can be generated by an AI trained on your repo and its issues/PRs/dependencies. I’m not doing this with aspirations of building a successful tool so much as learning to think with AI as a tool for improving systems.

It’s a very tractable thing at the moment and I think future iterations of GPT will make it truly useful.
That's the open question. Also if this is a wave or splash.
After using it for ~8 years, I rather like Nixlang. At the same time, I don't know Python well or particularly like it, so Spack's DSL just doesn't look as comfy to me. It reminds me of RPM spec macros a little bit, which I guess are fine but I don't love them. I'd rather see Nix learn from Spack than myself jump ship.

But I think it would be very silly to dismiss Spack over something like the fact that their DSL is Python-based.

It's fine to be partial to what you know, and there are lots of good reasons to prefer Nix today, at well as to think that improving Nix might be better for you than adopting Spack.

But I think we should go a bit deeper than this in evaluating competing projects. Nix is about more than just being in some FP club, you know?
Option 1 - Webassembly without a built-in garbage collector - exists today. You can compile Go or C# to WASM today, and it will output a WASM module with an embedded garbage collector.

There's a draft proposal to add a built in garbage collector (option 2) to WASM. I have no idea what the current status is - maybe someone involved can chime in. I suspect some version of the WASM GC spec will land eventually.

When it does, languages like Go, C# and Java should start to become competitive with javascript as frontend web languages.

https://github.com/WebAssembly/gc
> So how would I know whether the prebuilt binaries were built in a longer path than I install to?

All the public ones are built with very long padding; if you make your own you're currently on your own.

> Is there at least a way to block source builds if the app is not in the binary cache to avoid any surprises (basically have manual override/confirmation instead of automatic fallbacks to source builds)?

Yep:

spack install --cache-only ...
> It's on the AI safety folks to keep up with building good analyses for SoTA. Suspending all future improvements to object detection until we can better understand fault models of existing systems could very well make everyone less safe.

Sure. That's certainly the responsibility of AI safety folks. The only problem is that there are too few of them relative to people trying to make AI more capable. How do we get society to agree to funnel more resources into AI safety?

> Slowing down doesn't address that problem at all. The answer here is regulation and accountability, which may or may not have the side-effect of slowing down deployments.

I don't think your viewpoint and the article's viewpoint (or at least Ding's viewpoint), despite its snappy title, are really that far apart. Ding isn't saying that slowing down is intrinsically good, but rather, in his words:

> If you’re a tech company, if you’re a policymaker, if you’re someone who wants your country to benefit the most from AI, investing in safety regulations could lead to less public backlash and a more sustainable long-term development of these technologies

which sounds pretty similar to what you're saying. Yes a likely outcome of that is slowing down AI development, but it's not the goal itself per se.

The gist of it is that we have a social problem. How do we coordinate to make sure that we develop AI safely? Because a free-for-all arms race where everyone cares only about the next shiny new capability seems really dangerous. Maybe the answer is regulation, but even then there are all sorts of questions of enforcement regimes and the like.
NOPL
You are right. The OP's examples of networking, SQL, etc. are NOT the foundations of computer science. I know as I did my undergrad in actual foundational CS theory.

Here are the foundations of computer science: Sets, Boolean algebra, integers, strings, functions, logic circuits, iteration, recursion, proof by induction, loop invariants, automata, regular expressions, context-free languages, Turing machines, computability, asymptotic complexity, data structures, algorithms, NP-completeness, models, formal logic systems, operational semantics.

But to agree with the OP, a lot of CS graduates may not have learned or have forgotten the mathematical underpinnings of CS. A typical bad "CS" education would be some hodge-podge of algorithm design, hand-wavy analysis, and teaching specific technologies/tools (e.g. CSS, NoSQL).
They're culling the less performant employees and use the current economic crisis as a PR excuse.
Seems silly to make people jump through these hoops when all the want is a safe, low-yield investment.
We're hiring at Grit: https://grit.io/careers

We use language models to help companies keep software modern.
And Now Let’s Review: Film critic AO Scott's exit auto-interview
$15 feels like a lot. However, Looks like it’s free with attribution so I can live with that.
>Change the incentives (remove animal subsidies), and the problem will solve itself.

That's still not easy. That is like saying ending entitlements is an easy way to save a lot of money in the federal budget. That's the entirety of my point.

And no offense but I have to chuckle at your example - (and note that organic veggie gardening is my chief hobby and I've studied advances in market gardening for years out of personal interest, and the model absolutely fills a niche). But around the time of the documentary, Apricot Lane Farm was USDA 'small scale' meaning income of sub-$250k a year at a time they had 60 employees... Basically you are suggesting we can replace government subsidies with venture capitalists.

There are wicked problems in agriculture and getting even a slight net improvement across environmental/social/economic sustainability metrics is going to be the result of incremental policy, technological and cultural changes, it isn't going to happen by handwaving industrial corn fields currently forming the backbone of rural communities into angel-investor backed biodynamic farms that don't actually need to make money on outputs.
Interesting that they use a single IAM role per client. This will also run into limits (which can be upped), but wouldn’t a better design be to use a single role with a specific STS session name and session tag enforcement policy?

You can then say this role can read/write to “s3://bucket/${account-tag-name}/“ and have it enforced.

Because they use a single service account per client, which has no limits as far as I know, they can add a IAM assume role policy to say “the client-ID session tag must match the Kubernetes service account name” or something like that.

What’s annoying is that you can’t go any more granular than the service account name - currently there is no way to create a pod IAM role with specific pre-baked tags, so you can’t say like “this IAM session can only be assumed when tag X equals the k8s pod label value Y”.

Being able to do this would be insanely valuable for specific and fairly niche IAM problems. As I understand it, it’s a limitation with Kubernetes.
How I built a programmatic SEO AI project
Tidbyt fits the bill for me. It's more expensive ($179), but it's a super polished product. It has all public transit for the main cities in the US, plus tons of other handy apps (stocks, weather, etc).

https://tidbyt.com/

(No affiliation, other than being a happy customer. There's a promotion this week for $15 off the list price; DM me on twitter if you'd like the referral link)
Where is the license?

As is (in absence of a clear information about copyright and license terms) it looks dangerously like some random dude just ripped the icons from AWS and misleadingly tells everyone they can just go ahead and "Download, copy and paste [the icons] for your projects" (notice the generic "projects")… when that doesn't correspond at all to what is written on the AWS page from which the icons were "sourced" (link at the bottom of the page), and which in stark contrast to that says:

> Customers and partners are permitted by AWS to use the resources below to create architecture diagrams […] in your whitepapers, presentations, datasheets, posters, or any technical material.

So the original site has a restriction both on WHO is allowed to use the icons (only customers and partners) and on the PURPOSES for which they can be used. While "technical material" is somewhat vague, it's not the kind of vagueness that would protect from a lawsuit, and it would typically be understood (especially in the context) as material directly related to technical documentation… as opposed to just any web site, app or other software "project".

So as is (i.e. in absence of clear copyright and licensing terms), that generic "[yo bro, just go ahead and] Download, copy and paste [the icons] for your projects" looks like a legal accident waiting to happen.
Concentration of deposits leads to less competition in the banking sector and more concentrated risk in global systemically important banks, i.e. the ones that are too big to fail. But maybe that's no the end of the world, and maybe the deposit limit isn't the best way to create competition.

And if banks aren't allowed to make risky investments with deposits (good policy, IMO), then I believe we want people and businesses using banks for their most liquid needs, but otherwise, putting their money to work through investment.
I really resent the implication that we have to be hesitant about wiping out investors because some of them might be retirees. It feels like capitalism using them as human shields, especially since these fixed-income products were forced on us, replacing guaranteed-benefit pensions.
If they were to train their own, wouldn’t they only train it on "approved" content?

In which case, it wouldn’t even need to be censored, would it?
>Change the incentives (remove animal subsidies), and the problem will solve itself.

That's still not easy. That is like saying ending entitlements is an easy way to save a lot of money in the federal budget. That's the entirety of my point - its a bit facile to call a change easy just because you can put it in one sentence.

And no offense but I have to chuckle at your example - (and note that organic veggie gardening is my chief hobby and I've studied advances in market gardening for years out of personal interest, and the model absolutely fills a niche). But around the time of the documentary, Apricot Lane Farm was USDA 'small scale' meaning income of sub-$250k a year at a time they had 60 employees... Basically you are suggesting we can replace government subsidies with venture capitalists.

There are wicked problems in agriculture and getting even a slight net improvement across environmental/social/economic sustainability metrics is going to be the result of incremental policy, technological and cultural changes, it isn't going to happen by handwaving industrial corn fields currently forming the backbone of rural communities into angel-investor backed biodynamic farms that don't actually need to make money on outputs.
nodejs alpine
It's also not crystal clear which Exynos chipsets are affected. I have a Samsung Galaxy S10e and a Samsung Galaxy S2 which both have Exynos chipsets, but I can't tell if there's simply no mention of these being affected because they're older models, or if it's explicitly only the newer models that are affected.
But we are in fact in the early stages of a slow train-wreck of a global economic meltdown.

Investors wanting value out of stock is one thing, especially if the stock has a dividend. But this is not a dividend stock, so that tired trope doesn't apply. Also, this is Amazon, famous for channelling revenue back into the business, effectively making the stock neutral value in a fiat sense. It would be one thing if it were any other company, but it's Amazon. The only value in the stock is the perceived value of the stock holders, and Amazon doesn't play that value-game like other corporations.

Considering they previously cut 19K jobs, and this is just a piece of the additional 9K job cuts across all business units... it strongly indicates Amazon is preparing for an even worse economy to come. Consider the Biden Administration printed about ~$10 trillion USD since 2020, and if Inflation were comparable to Dune sand-worms, this would be the Shai Hulud of Inflation. It takes a while for the economy to realise everyone is being payed less, and prices need to rise in accordance with increasing costs, but oh wait... people are still paid the old income they always earned, and so they buy less stuff, and around and round the cycle goes.

Amazon isn't selling as much as they used to, so please with all due respect... get the fuck out of here with the ShArE hOlDeRs WaNt VaLuE nonesense. A bunch of corporations are cutting jobs, because payroll is typically the #1 cost of doing business, for any business.
Terrakube: The Open Source Alternative to Terraform Enterprise
Caroline Ellison made $6M at Alameda – a fraction of SBF's $2.2B
and Palindrome's https://www.youtube.com/watch?v=N5F66JwLq90
Complete Pandas Bootcamp on Udemy.
I don't see how letting the depositors get hosed while the bank gets taken over is any better than bailing out the depositors. Either way, the rents have been extracted. Why does the $250k limit make a difference to bank management behavior?
Maybe the fun thing about the fact is that it isn’t true.
This is an hour away from the tech capital of the world.

Shameful that the state of California or the FBI don't seem to care about this. Meanwhile we have to organize to fight self inflicted problems like banning algebra in high school.
This post highlights the change in infrastructure engineering in past couple of years and the importance of k8s.

I think all the choices they made makes so much sense.
If you look at the example meshes, it doesn't seem very likely that it would be better than manually creating them, unless you're okay with lumpy parts that aren't exactly the right size. This is too early for it to not require a lot of cleanup to be usable.
I believe you. Small queue/big inbox is a good experience for me and that's how I recommend people use it.

The new 2023 release squashed a number of bugs but had some performance regressions as well; they're in the midst of successive patches right now.
Ahh, thank you very much, definitely was missing that piece!
I have no idea if these concepts are similar, but as a machine learning beginner, I found the concept of a "perceptron" [1] to be useful in understanding how networks get trained. IIRC a perceptron can be activated or not activated by a particular input depending on the specific network-under-training between the two. What it means to be activated or not depends on that perceptron's overall function. That perceptron is like a single "cell" of the larger matrix, maybe like the cells in your brain.

When I read the GP description referring to "embedding" above I thought of the perceptron.

Definitely not supernatural at all. The act of making an automaton that "can perceive" feels to me like it's closer to the opposite. Taking that which might seem mystical and breaking it down into something predictable and reproducible.

[1] https://en.wikipedia.org/wiki/Perceptron
Interest rates correlate strongly with treasury yields. https://en.macromicro.me/charts/762/us-fed-funds-rate-treasu...

To increase the federal funds rate the fed has to sell treasuries (pushing up coupon rate, which is government interest payments), or pay banks interest on reserves (give banks money), or buy assets from banks (give banks money). So from every angle, the government is creating money when it increases funds rate. https://www.stlouisfed.org/open-vault/2020/august/how-does-f...

If we zoom out, the two ways the Fed increases the rate is by giving banks free money, or pushing up bond prices (and the interest on bonds comes from new money).

Despite the enormous complexity of monetary policy, the only actual tool the Fed has underlying everything is the ability to print money.
Slow-clock processing on Voyager 3, heading for the stars, who wants to invest?
This is a much worse version of bfe.dev hate to break it to you.

No one wants to pay premium for this stuff. bfe.dev is free and has a drastically larger selection of problems on many different subjects.
It’s dead.
It might be a stretch to judge "Wait 20 years" as "easy". I doubt that the XR-market will remain dormant for 20 years.

We're still in the competition for the leading XR ecosystem. If a company wants to establish themselves in this space, "just wait" is not an option. Quite the opposite, now there's still a chance to shake-up everything by delivering a strong user-experience
Martin Meyerson Berkeley Faculty Research Lecture: Jitendra Malik
As far as I know, MMT accepts all of the theory of money supply. The main break with mainstream economics is in asserting that government spending beyond taxes collected need not be financed with borrowing. The borrowing is an option, which may be desirable, but a government could also choose to print the money instead, and doing so wouldn't automatically be inflationary. In many ways, this is a recognition of the fact that it's not just an unbalanced budget that creates money.
Anyone else surprised this isn't the announcement article for the rust rewrite (expected to be named "Rurl")?
> there’s a looot of employees here we don’t like. Instead of going through the whole PIP/HR dance we’ve decided to give every manager a blank check to fire a few of you. The whole ‘economy’ situation is a perfect cover to do this now. Adios.
sh is the secret to transliterating bash to python. It's basically bash with proper loops and variables and string operations.

import sh
names = sh.ls("./src")
for name in names:
sh.mv(["./src/" + name, "./dst/" + name + ".out"])
Eventually it will be common knowledge that asking a text compressor trained on all available text to design a new technology doesn't work.
The largest shareholders are the Saudis and Qataris, the shareholders appear to have gotten some sweetheart inverted deal relative to the bondholders, and almost nobody is discussing it?

You now if these financial markets just evaporated, who would care really, except a few aristocrats? Are they really doing anything worthwhile like building factories, or is it just a pack of percentage-harvesting parasites?
could also just migrate to gpt3.5 turbo as it's more cost effective