skysight-inc/HackerNews huggingface dataset:
> The cities that allow for lots of sprawl (eg Houston) are not very nice places to live in many people’s viewpoints.

"Many peoples' viewpoints" is a cop-out. You can apply it to ANY phrase: "In many people's viewpoints we should drop a nuke on Manhattan and rebuild it from scratch".

If you look at objective data, Houston beats NYC handily in pretty much any important metric.

Houston commute is 26 minutes vs 33 minutes for NYC. Per-capita income after taxes is similar, and housing costs in Houston are not even in the same league ($3000 average rent vs $1300). Houston also has less income inequality (Gini coefficient of 0.51 vs 0.55 for NYC).

> People aren’t clamoring to live in Houston

This is rich, because Houston is one of the fastest-growing cities in the US: https://www.click2houston.com/news/2016/03/24/census-data-sh... - it's THE fastest growing city in some measures.

Apparently, nobody goes there - it's too crowded.

> Roads are a bad value for what you get. Not only is the throughput not great, they are expensive to maintain.

You're making factually false statement after factually false statement.

I really find it curious how people swallow the urbanist propaganda without ever bothering to check if it makes sense.
I think "all these crypto projects are securities" is a perfectly clear stance. Coinbase clearly disagrees, so their calls for clarity are actually calls for "please change your mind". People then go ahead and launch public offerings anyways, and act all surprised when SEC files enforcement actions.

Some call it regulation by enforcement, but really I see all along the SEC has been clear in saying that it's all securities. Now, enforcement actions go in front of a court and the court may disagree with the SEC, which then clarifies regulation by setting a legal precedent for the SEC being wrong.

Edit: this is how I think about it: there is a gradient from "clearly under SEC jurisdiction" and "clearly not". The SEC says "most of this gradient is under my jurisdiction", crypto projects say "no it's not". Clarity in this situation means drawing lines in the gradient, and when enforcement actions get filed then a court gets to weigh and draw lines for them.
it seems that they disagree on ethereum https://decrypt.co/123032/cftc-chair-says-ethereum-is-a-comm...
Java comes the closest of any of the languages to Go’s static binary.
Most business communications should be done in email. You want an easily searchable trail, and email lends itself very nicely to communication that doesn't have to immediately be resolved.

For everything else casual, people use whatever apps are popular in their region - whatsapp, imessage, slack, discord, etc. All do relatively the same thing, but should not ever be relied on as the primary method of official communication. All of them suck for record keeping.
> Largely because it's impossible to replicate something when we don't entirely know how it works.

On the contrary. These are mostly orthogonal.
Yes and no. Different types of memory management essentially accomplish the same thing. The way you build for them and their performance characteristics vary. In that way, scaling is the same.

But scaling is different in that you're physical ability to scale up with on-prem is bounded by physically procuring/installing/running servers, whereas in the cloud that's already been done by someone else weeks or months ago. When you shut off on-prem hardware, you don't get a refund on the capex cost (you're only saving on power/cooling, maybe some wear and tear).

It's not just that you need to plan differently, it's that you need to design your systems to be less elastic. You have fixed finite resources that you cannot exceed, which means even if you have money to throw at a problem, it doesn't matter: you cannot buy your way out of a scaling problem in the short-medium term. If you run out of disk space, you're out of disk space. If you run out of servers with enough RAM for caching, you're evicting data from your cache. The systems you build need to work predictably weeks or months out, and that is a fundamentally different way of building large systems.
I mean isn’t that most open source software? Company releases a tool but only maintains it for themselves, sometimes working with the community to update it.
> Rules and laws aren't supposed to be a puzzle you argue about via $1000/hr lawyers.

Laws are living things that must always be up for interpretation. This is the sole reason we have courts instead of two parties writing their arguments out into a formal language and feeding them into a theorem prover to see who is right.

And good news, most of the cases they are not! NASDAQ is a public company, you can find out how much they spend every quarter on lawyers. I can tell you that their legal expenses would be smaller than Coinbase's.

Why? Because Coinbase _chose_ to operate in a place where the legal grounds were not quite clear. They profited from the lack of regularity clarity in their early years. Now that the regulations are solidifying in directions that they don't like, they're shedding crocodile tears because, guess what, doing shady business is getting more legally expensive than it is profitable for them. Thankfully, laws are not written solely to maximize profits for private corporations, or protect the profits that they made during times of unclear regulations.
I’m getting

> Two pounds of corn is heavier than a pound of marbles. A pound is a unit of weight, and two pounds is twice as heavy as one pound, regardless of the material being weighed.
It's worked for me these last 60 years. I think P T Barnum had something to say about that.
Counter-Strike 2 will bring a technical overhaul to the classic shooter
> The difference is SF has amazing weather, some of the best in the world.

Uhmm, I don't think I agree here. The Mediterranean has better weather all around. I like mid-west weather more if we are talking about US. SF is also very windy. Annoyingly windy. SF weather is "okay" but nowhere near the best. It does have great scenery nearby though.
Compiler Hacking in Cambridge Is Back
It's still much worse than 1M context on 16GB VRAM with Reformer, but at the cost of inference speed. And you can use FlashAttention in your own models to get a more efficient/sparse attention now as well.
At this point I just assume coinbase only exists because they were somehow stealing less obviously than the others. Or, they stopped stealing illegally just in time, have started hemorrhaging money and are praying they can get back to stealing legally by selling themselves as the responsible actor in an overwhelmingly corrupt space. There's a window here for them to solidify themselves in a gray space that just abuses people for money forever like MLMs, time shares, trailer parks, and tom selleck selling old people reverse mortgages.
They both have footguns. Solid has fewer which is nice.

Maybe I am just an old man yelling at the clouds. Big give me a traditional (multi page app) over a SPA any day at this point.
mrsk introduction screencast by DHH explains the process well, and is pretty impressive as usual: https://m.youtube.com/watch?v=LL1cV2FXZ5I
Agree, albeit somewhat accurate, the real title of the post is "Google Suspends Chinese E-Commerce App Pinduoduo Over Malware"
Stack Allocation for OCaml
Couldn't that apply to just about anything the moment anyone anywhere says "Buying X is a good investment!" so long as it's possible that the promotion resulted in X selling at a higher price?
Depending on your business use-case, sharing a pool of IPs can have detrimental impact on access. For example, you may find the prior users were doing unauthorized security scans, spamming email, or hosting proxies.

i.e. if you get an IP block with a bad reputation, than you may find running a mail or VoIP server problematic.

If you are running purely user centric web services, than it doesn't matter as long as you are serving under around 30TiB/month.

There is also the issue of future offline decryption of sensitive records without using quantum resistant storage cryptography.

Rule #4: The first mistake in losing a marathon is moving the finish line. =)
Watching adults struggle when encountering baby gates and other child proofing mechanisms for the first time is similarly amusing.

The difference between real intelligence and current attempts at artificial intelligence thus seem to be fundamentally the mode of learning, and thus understanding, rather than the raw knowledge and inference capability.

Or not. Nobody knows I'm actually a dog on the internet, after all.
Miss those red and green bars!
How do you believe they're orthogonal?
In this article, the FTC has warned businesses to consider the potential harm their synthetic media or generative AI products could cause before offering them to the market. These recommendations given by the FTC seem to be targeted towards moral people who don't need this advice in the first place. Bad actors who are intentionally using AI tools to cause harm are unlikely to adhere to these guidelines.
Build Your Own Grype (vuln) Database
The other advantage of this approach is - if that $20 toaster actually lasts long, and if you don't want a new style, you're ahead by a huge margin!
I am terrible sorry, but I fail to see the logic in your 2+1=1+2 explanation of that answer. Would you be kind, and ELI5 it, if possible?
Look at the system card.
But does doing something like that once 20 years ago mean they can do it again?
In Europe you have multiple unions for an employer, and employees pick between them - so they compete on price and what they offer.

In the US you are forced into a single union for an employer.

In Europe the union is for the employees, they have lots of employees from a wide variety of places, and they offer them services.

In the US the union is for the employer - they stand in between the employee and the employer and purport to decide what's best for the employee.
The question is whether consciousness is computable. Can a Turing machine be conscious? Probably not.

https://www.newscientist.com/article/mg25634130-100-roger-pe...

https://www.youtube.com/watch?v=hXgqik6HXc0
Look, for the most part, regulation is good. In theory.

In practice what ends up happening is that regulators come in with measures "meant to protect the people" that also indirectly harm the early adopters. That's why enthusiasts aren't very enthusiastic of getting regulated. Regulators get a bad reputation because most of the time a regulation ends up like this; they are seen as killjoys.

I am not keen on regulation because I cannot trust regulators to do a great job at preserving "the magic" of a technology. Yes, exchanging (and most of the time, losing) value into cryptoassets and scammers are a real thing, as much as money laundering and tax evasion; however, once the black suits come in[0], it's all downhill.

I don't know the alternative, other than letting the code by-laws regulate itself. The very essence of what Bitcoin represents.

--

[0]: I mean, the sad state of regulation nowadays, in which is protecting the best interests and power of the elites.
Does anyone have insight into the GPT-4 model itself? What is the parameter count? Training procedure? I know "Open"AI hasn't released this data but I was hoping someone with inside knowledge would have leaked it by now.
What on earth are you talking about? I’ve been in the industry a really long time and have never seen anyone actually pair program. The entire concept of pair programming is silly. If anything it’s ear phones on and don’t bug me.
At least in the US, businesses/commercial/industry typically get a significant discount on electrical pricing vs consumers.
Are you making that up?
Genuinely curious, as I'm agreed w/ parent you replied to on the "dirt poor / filthy rich" idioms.
Biological reproduction for one. Copy/paste for another. Biological reproduction is only tenuously related to understanding and copy/paste isn’t even related at all. We can copy around weights and biases all day without understanding them.
There's two kinds of spending: assets and liabilities. assets make you richer, liabilities make you poorer. Car is the later.

It's okay to save every penny but you can't keep it in cash. You've got to buy some real asset: either real estate, gold, equities or bitcoin.
Sentimentality: The Dark Side
LLMs without any online storage can be at best convincing liars. Combining them together with an actual retrieval/QA system (e.g. by first fetching exact answer via a QA model and then reformulating output via GPT) could start feeling pretty real quickly.
How to Learn Chess as an Adult
If they're looking for someone to fill this "$900k" position, they're clearly not going to hire someone they value as "$90k". And vice versa.
The $400k is a total across all of the celebrities. Jake Paul paid the most, at $100k.
> CEO's like Benioff from Salesforce

The guy built the largest office building west of the Mississippi which now sits largely unoccupied alongside other unoccupied office buildings. His opinion is biased.
Apple vs. Nvidia: What happened? (2021)
GPTerminator – ChatGPT in the Terminal
Use openai's gpt api right in the terminal!
> building a government department to actually deliver the government services themselves instead of what we do now. Which, of course, is how governments mostly used to function before neoliberalism and general corporate dominance took over.

This is how things were done for a long time, but anywhere the government delivers value is quickly "privatized" the next time a conservative government is elected.
As someone who is not familiar with these sorts of accessibility challenges, what makes copilot voice terrible?
For most companies stock value is meaningless in terms of achieving things. It doesn't put more money in their pocket to pursue development unless they do additional stock offering, which is very unusual for a mature company.
I use tons of GUI apps with mostly a keyboard (or sometimes only a keyboard). For example, my Git client of choice is Tower, and I’m able to get all my work done without taking my hands off the keyboard. It took me a bit of time to get used to the shortcuts, but now I’m able to work off my muscle memory.

Well written GUI apps will always have good support for keyboard-only use. This is doubly true for apps that care deeply about accessibility, since some people have disabilities that make it hard for them to use a mouse or trackpad.

On the other hand, TUIs will never support non-Latin scripts properly, or have good support for screen readers, or be easily discoverable without a manual, or have uniform automation support using native automation APIs. In my view, CLIs are strictly inferior to GUIs unless you’re putting together data pipelines.
Based on the wording of your question, I can't see a way today to prove it never could, therefore the answer currently must be "Yes, it may someday be possible."

Note: This assumes that "conscious" as defined in this context is specific enough for the question to ever be meaningfully answered "Yes." This is a non-trivial assumption because there are criteria by which some would judge AIs as already conscious. Alternatively, some philosophers of mind have criteria by which they assert humans aren't conscious.
It's a well-established principle in computer science that the input/output behavior of a system may not capture all of its important properties. Take zero-knowledge proofs for example. Their entire point is that they are indistinguishable from randomly generated garbage from a specific distribution. The proofs only gain value if you make causal assumptions about the system that generated them.

I don't think systems like GPT-4 can ever be truly intelligent, because they simply output randomly generated garbage from a specific distribution. Their output may eventually be indistinguishable from that of a truly intelligent system, but the causal mechanism behind them is not intelligent.

On the other hand, most people lose their ability to think when they are under sufficient pressure (such as fighting for their lives). It's plausible that people are fundamentally no different from systems like GPT-4 in such situations. Then a language model could be a key part of an AGI, but true intelligence would also need higher-level causal mechanisms.
Also a great prop for your video call background.

https://www.nytimes.com/2020/05/28/nyregion/power-broker-tv....
U.S. Supreme Court chews on Jack Daniel's fight against parody dog toy
The calls for clarity are firstly clarity about registration. Failing that, clarity about jurisdiction to work around the lack of clarity on registration. Nobody gives a shit about whether or not their dogcoins are technically securities or what the gradient is.

The SEC is considered by many to be acting in bad faith by not clarifying regulation, which in effect is an abuse of a pocket veto of sorts over crypto.

Other jurisdictions do not have this issue. The SEC stands alone.
The CFTC disagrees with that stance https://decrypt.co/123032/cftc-chair-says-ethereum-is-a-comm...
Looks like a direct clone of notion initially. Curious to see how it compares.
Not sure I would call constant real-time perceptual stimuli since before birth "a fraction of the training data."
Yes, they are promoting an unregistered security according to the Howey test.

- MacBooks are purchased with the intent to generate profits;

- Require an investment of money; and

- Have an expectation that Apple will perform work on behalf of the purchaser including updates, maintainable, and promotion.

Clearly, MacBooks are an unregistered security and promoters are committing fraud. We must take action to protect the innocent investors! /s
Do you consent to that when you sign up for them? Its a microsoft product now and competitors to microsoft probably host their code on microsoft owned github without worry right now. Why start worrying now?
Bet they'll be fined less than they've earned?
The only way validators who have staked eth make any earnings is if they perform their validator duties. If they don't do the work, they get penalized. If they abuse or attack the network, they get slashed. Since a validator's earnings come from their own work, the whole 'To be derived from the efforts of others' prong completely fails.

There are pretty decent arguments why the other prongs fail as well.

What can be a security, is if a provider offered a managed yield service promising a certian return and guaranteed instant liquidity and then used staking in the background to generate that yield. This is what got Kraken in trouble. And why they settled so easily. Where Coinbase falls is going to heavily depend on the specific facts of their service.
as a claim, it has no merit; it's a raised eyebrow.
This is a pretty fluffy paper, especially for an institution like Microsoft Research. It says it's an "early AGI" in the abstract, but elsewhere says it's merely a "step towards AGI". The basis for this is asking ChatGPT a bunch of stuff, but they don't really present an overarching framework for what questions to ask or why.

The paper makes outlandish claims like "GPT-4 has common sense grounding" on the basis of its answers to these questions, but the questions don't show that the model has common sense or grounding. One of their constructed questions involves prompting the model with the equator's exact length—"precisely 24,901 miles"—and then being astonished that the model predicts that you're on the equator ("Equator" being the first result on Wikipedia for the search term "24,901"). It's also the case that while GPT-4 can say a bear at the north pole is "white", it has no way of knowing what "white", or "bear", or "north" actually represent.

Are there folks out there doing rigorous research on these topics, who have a framework for developing tests of actual understanding?
You seem to know more about this, so I'm wondering: is "most tokens are really securities, but the way tokens work means you couldn't really make them compliant securities in the same way that my paper plane is a plane but I won't get FAA approval to sell it to American Airlines" a way of envisioning the world on this? Or are 'compliant securities' theoretically a possible thing in some vision of the world where compliance means something?
That would be negotiable
It doesn't seem to understand anything I say, it also required installing Java! Felt like I'd gone back in time to 2012 or something.
Also known for his extraordinarily well researched, multivolume biography of Lyndon Johnson.

He’s sort of the Don Knuth of US political biography.
I'm skeptical of your story. I happen to know quite a bit about these codes and the one this tool generates is missing a number of fields.
"It was a dark and stormy night when the regulators showed up at the {$RecentlyFailedFinancialInstitution} and greeted the ashen faced C suite" is a genre the journal excels at. It's like scary campfire stories for CEOs.
I dunno. I was a kid when Rails took over the world, so I couldn't even begin to tell you why it succeeded in the way that it did.

But I do feel like they probably know what they're doing enough to have a more modest version of success with this other project, i.e., meeting their own needs well without burning up too much money or time. They're still a really small, focused company, and they have a lot of relevant experience.
France does a vastly better job than America at things like HSR and one could hardly call the highly unionised and regulated labour environment 'cheap' over there.
I would imagine there would still be more painful job losses from plain ordinary financial mismanagement than there would be due to robots.
Yeah, I would love to hear more about why they decided not to go with on prem k8s... the other arguments made logical sense to me, but they don't explain the reasoning for mrsk very well.
You can mint currency in the US, as long as you cannot be confused for USD (or probably other currencies). And capital gains isn't tied to it being a security at all.
It’s good to see how increasingly fewer people feel.
What's most surprising to me is that OpenAI really seems to believe that not publishing details will save them from competition. Everyone knows how these models work, and while I'm sure there is a bunch of "secret sauce" that OpenAI has built for training and fine-tuning, it's ridiculous to believe that the research community and competitors like Google and Facebook can't figure out the same. They just haven't really tried until recently because the capabilities and ROI of these models weren't obvious. No matter who you are, most of the smartest people work for someone else.

The only competitive advantage that OpenAI has here is a headstart of 6-12 months from all the infrastructure investment into training these kinds of models. Now that everyone wants to build competing models with the same capabilities, this advantage is going to disappear very quickly.
I haven't tried it yet, but this was how I assumed I would feel

Something I'm actually more optimistic/curious about is the potential for code analysis, like an advanced linter. "Tell me if you think you see any bugs in this code." That's something I would totally use even as an experienced programmer working in an older, slow-going codebase (maybe especially in those)
I agree but that can change. We still live in a democracy.
Duh? Corporate models are closed. Don’t make them part of your research infrastructure if you can’t cope with that.
awesome name! i would have personally stuck to terminator.
From their 'Compare' page, it seems like they are targeting entirely different kinds of users, not price points.
Competitors to Microsoft buy the self hosting github option.