skysight-inc/HackerNews huggingface dataset:
Are you really suggesting what I think you're suggesting?

Pretty sure we can land things on the moon if we needed to. We just placed the James Webb Telescope there. We just don't have the political will or necessity. Ho long was it between the first trip to the South Pole and the first permanent base? 1911 to 1944. And that was on Earth, where supplying that base is much easier than the humongous expenditure it was to go to the Moon or supply a lunar base there.
And that, right there, is why child molesters and rapists are rarely, if ever, caught on their _first_ offense… we assume the victims are lying. Which, oddly, we don’t do with pretty much any other kind of crime.
2 seconds to perform a single division on an a 16-bit? int? Am I reading that chart correctly?
And curiously, those predictions that are made during language comprehension are made by the language production system itself!
This definition is an abuse of the word "open"
I'm looking to learn a bit about Adobe Illustrator. Would this be a good starting point?
In America in 2023, everything is corruption.

First, the wealthy would agree to complicated contracts with each other so they trade back and forth to avoid ever letting their money expire.

Then my landlord would sneak into my home and swap my new money for her about-to-expire money.

Then my employer would pay me with about-to-expire money by lying and saying they paid me that money long ago, and offer to pay me in fresh money if I worked a lot more hours and accepted a lower wage.

I's still be where I am, unable to gather enough weapons grade material to get even with The System.
What were you expecting? Chemistry? Astrophysics? Kinesiology?
Microsoft reportedly invested 13 billion dollars and has a generous profit sharing agreement. They don’t have enough to control OpenAI, but does that mean the company can actively steer away from profit?
That’s easy. Give NASA 4-5% of the federal budget like it had in the 60s and we’ll go back in no time. This stuff is ridiculously expensive. It’s not the “how”, it’s the political “why” that doesn’t have an answer right now.
I think Joule is doing just fine reputation wise.

Language and history is messy. If you don't accept this you'll spend your life tilting at windmills in the most pointless way.

Another example, Von Neumann did not invent the architecture named after him. It's named after him because he wrote a very influential report on ENIAC.
I think this will ultimately be good for everyone, however I can imagine there’s a huge populace of OpenAI employees hoping this was a get rich quick route and are rethinking that. I know OpenAI has a different structure for reward than typical equity, but there had to be the thought this was going to be bigger than Apple and Google combined and there would be legions of billionaires in the making. If I were one of them, I would be seriously thinking about how to value my future at OpenAI.
Why would you need a new generation of physicist to get a rocket on the moon at this point. The physics of doing so are well established.

You need a reason and money to fund it. Which Musk supplied.
There are examples in cryptocurrency, where ZK proofs are all the rage. One use case is validating ownership of some amount of currency without knowing the actual amount, or verifying that a smart contract was executed correctly without revealing the specifics of the contracts internal state. Some blockchains use this in production, such as Polygons ZkEvm.
Not only that but those behaviors are patently not footguns or unreasonable in any way
Most databases will allow you to collect statistics on every query run by users, e.g., pg_stat_statements: https://www.postgresql.org/docs/current/pgstatstatements.htm...

A relational database really shines when you have all sorts of queries on tables, so it’s hard to optimize your model for every potentially future desired query. Precalculating these, caching the results in separate tables is not very efficient, and requires you to predetermine every query you want to answer.

Indexing in this situation is often the better alternative.
Right on.

That's a huge issue these days. We have to spend far too much time updating or upgrading software [1], figuring out why or even whether it is needed, (trying to) fix issues arising from all that, (trying to) roll back if we cannot solve those issues, having downtime on use of the software while all this is (mis)happening, and more.

[1] And what the heck is the difference between updating and upgrading, anyway? (I'm not interested in googling it. More busy work.) And who the heck is interested in the difference? Not end users, for sure. I have come across these two similar, hence maddening terms, in at least Ubuntu Linux distributions. Why can't they use less ambiguous terms?

And to top it all, I'm a techie. If I (and many other techies) have such issues, what to say about laymen, who are sometimes called "normies" by said techies and even by biztechies? I've actually heard or read both types using that term, disparagingly. The irony is that it only reflects on them, i.e. all of us in those fields, because the term implies that we are abnormal - with good reason.

End of rant.

I'll see myself out now, your tech honour (overlord).

;)
Fully reusable rockets ?
> How many civilians died in Syria, Iraq, Afghanistan, Libya, Yemen, Somalia and Pakistan? Where were the protests?

There definitely fucking were protests against the Iraq war o_O

Really, for all of the examples you provided, the situation is either that a) our government wasn't among the bad actors or allied therewith (e.g. Syria--do you want people to protest ISIS or the Asad regime or something? What would be the point?); b) there were protests, and there was criticism, and there was condemnation, and you seem to be ignorant of them so you assume nobody else cared either
>The board's job is not to do right by 'Sam & Greg', but to do right by OpenAI. When mangement lays off 10,000 employees, the investors congratulate management.

Thats why Sam & Greg wasn't all they complained about. They lead with the fact that it was shocking and irresponsible.

Ron seems to think that the board is not making the right move for OpenAI.
Makes sense, the skeptics went to the new world, the believers to the promised land. Glad to have the skeptics on the team.
the last base package I subscribed to was $80
> Trying to thing of another example where a screen is just a dumb-as-can-be terminal

CarPlay and Android Auto come to mind.
Uber is worth less than zero. They already are at full capacity (how many cities are there left to expand) and still not profitable.
Sibling comment made a good point about how the hot stuff in science 60-70 years ago was rocketry and physics where now so much "talent" is in "computer science".

Another thing: we are trying to do things a lot better than we did 60 years ago - fully reusable craft that, I assume, practically flies itself.
No. Those systems can't really scale up in size and speed. And it would be pointless anyway because the few commercial airliner crashes that do occur are mostly during take off or landing where parachutes aren't very effective.
Man blog spam really evolved tremendously over the last 2 decades, usually this kind of stuff would get spit out a month or so afterwards, but less than a day is amazing

We still don't even know what happened, which might be par for course, but damn
Apollo missions were done at incredible expense, and didn’t provide any longevity.

We’ve had humans in orbit on the ISS continuously for decades, sent probes to the edge of the solar system, landed multiple robots on Mars, and revolutionized our understanding of space and physics with space telescopes.

The biggest obstacle to space exploration was a contracting that didn’t bring down costs, and the thing that makes space so exciting now is high cadence low cost launches
But can the non compete be longer than paid leave?
This is hardly new in TV-land.

The second generation Apple TV's app runtime was all server-driven XML. TVMLKit is the "modern" replacement for this style of Apple TV app (mostly to make it easier to port I guess) https://developer.apple.com/documentation/tvmlkit

Archived example https://web.archive.org/web/20170813035144/http://trailers.a...

TV's "native" platforms are also similar, or just straight up HTML/CSS/JS.
Have you tried Neolink to make Reolink RTSP little better?
Single PoE switch with cameras on a VLAN (so they don't have internet access). I use my old framework main board (yay for reuse!). Started with a USB Coral but switched to NVMe, which is more reliable passing through to a VM.

Frigate links some Dahua camera recommendations in their documentation: https://docs.frigate.video/frigate/hardware/

I installed them and they've been rock solid. Low light performance is excellent. The turret form factor is nice and unobtrusive.
Yeah. I'm kinda thinking about writing a blog post about that project, because I kinda like how it turns out.

Imo, the method I described to me is mostly reasonable to implement closed and fairly complete domain objects. In this case, understanding the protocol is more akin to understanding the concept from the problem domain, and the implementing classes are different cases or states the thing can be in. In your image, I'd compare the main thing I use this for as fuses. Simple, encapsulated and fulfilling a purpose - just implemented in different ways depending on the context.

On the other hand, if you're dealing with implementing a flow chart, I've grown to very much like a decently structured imperative function - supported by these smaller objects.
> As Hinton says, there is no real limit to how sophisticated they can get.

There’s no limit to how sophisticated a model can get, but,

1. That’s a property shared with many architectures, and not really that interesting,

2. There are limits to the specific ways that we train models,

3. We care about the relative improvement that these models deliver, for a given investment of time and money.

From a mathematical perspective, you can just kind of keep multiplying the size of your model, and you can prove that it can represent arbitrary complicated structures (like, internal mental models of the world). That doesn’t mean that your training methods will produce those complicated structures.

With Go, I can see how the model itself can be used to generate new, useful training data. How such a technique could be applied to LLMs is less clear, and its benefits are more dubious.
NCAs best use is when buying out a business, where the prior owner agrees to not create a competing business in a defined area for a period of time. This is effectively economically neutral, and also serves a sense of justice.

This justification can be extended a bit to people in executive management roles at corporations, but for regular employees? You either got their salary value out of them when they worked for you or you overpaid them. I don't see additional societal value to a non-compete except in edge cases where an employee quits within a short period after hiring - staying just long enough to gain skills without generating a corresponding amount of value for the company.
It's definitely not as simple as "More features = harder to learn".

Removing footguns (nulls are a footguns, race-able concurrent APIs are a footgun) can make it easier to learn even though this may introduce new features (in this case sum types) to solve the problem.
This seems to align with the stuff Kara Swisher was hearing, and suggests Sam was "not consistently candid" about product announcements or something similar.
It's funny how I always hear the point about new hires for Go. My team is a Rust shop at $DAYJOB that I created basically from scratch, so I had to onboard every new hire on the codebase. It's amazing how confident they are due to the compiler having their back, and how confident I am their code won't blow up that much in prod.

> code is straightforward and easy to read

I have to disagree. I don't want to read 3 lines out of four that are exactly the same. I don't want to read the boilerplate. I don't want to read yet another abs or array_contains reimplementation. Yes it's technically easy to read, but the actual business logic is buried under so much noise that it really hinders my capacity to digest it.

> the compiler is blazing fast

much agreed, that is my #1 pain point in rust (but it's getting better!)

> and it's concurrency model is probably the most convenient I have ever seen

this so much. this is what I hate the most with go: it pioneered a concurrency model and made it available to the masses, but it has too many footguns imho. this is no surprise other languages picked channels as a first class citizen in their stdlib or core language.

> Go trades "being-modern" for amazing productivity.

I don't think those two are incompatible. If we take the specific point of the article, which is nil pointers, Go would only have to import the sum types concept to have Option and maybe Result as a bonus. Would this translate to a loss of productivity? I don't think so. (oh and sum types hardly are a modern concept)

Also, there may be a false sense of productivity. Go is verbose, and you write a lot. Sure if you spend most of your time typing then yes you are productive. But is it high-value productivity? Some more concise languages leave you more time to think about what you are writing and to write something correct. The feeling of productivity is not there because you are not actively writing code most of the time. IIRC plan9 makes heavy use of the mouse, and people feel less productive compared to a terminal because they are not actively typing. They are not active all the time.
Your LAN can handle it :)

If the current setup can't, plugging the cameras and the NVR into a separate switch and none of that traffic will go near the rest of your LAN.

Wifi on the other hand, there's really no (practical) segregation to speak of - the spectrum has limited bandwidth, it doesn't matter if it's a different SSID / wifi network, it'll affect your Wifi!
Fiat money already DOES expire. It’s called INFLATION. If you put all your investments in a savings account in 2008, your “money” would smell like a compost pit.
> make no mistake, supporting palestinians is not really different from supporting the evil of the Oct 7th attac

Yeah this is morally reprehensible and idiotic.

If you can't see why, then I guess you can keep scratching your head and wondering why more and more people are adopting precisely the view you hate, and pretending that it's TikTok's "fault" people are being "manipulated" or "brainwashed", as opposed to realizing it's because when you say stuff like that, it may make you one of the bad guys, and people might rightly disagree.
The majority of people do not choose to live in one town and commute to work to a different one that doesn't have a good transit connection with the first.

The solution sure isn't providing even more infrastructure to the method of transport that is least efficient (passengers/hr, ongoing cost, space wasted for parking), most polluting (particulate, noise) and most dangerous to others (injuries per Km travelled).

People constantly defend cars based on how convenient it is for the person driving them without taking into consideration how their choice affects everybody outside their car. This method of transport is unique in the magnitude of its externalities compared to the alternatives.
It's for copywrite
I guess it depends where you are in your career. If you're really aiming at a five year time horizon, then I can see it making sense to stick around. But, if you're yonger a year or two fully-paid vacation sounds pretty tempting.
> Like I said, you're imagining something that doesn't exist.

My point is that this is Lina Khan's specialty. Everyone knows it, and Google is undoubtedly calibrating many of their business decisions to make sure that they don't attract scrutiny. This would be especially true where the product involved has over 60% market share globally.
> Not everyone that you don't like is a fraudster

Maybe not. Perhaps it seems that everyone you do like is
According to this, e-bikes are outselling EVs in the US: https://electrek.co/2022/01/26/electric-bicycles-are-now-out...

And that's despite the fact that the US lags behind the Asian and European markets when it comes to e-bike demand: https://electrek.co/2022/02/08/us-electric-bicycle-sales-tra...

Without more data, I think it's too soon to conclude that EVs are outselling e-bikes, at least in terms of units shipped. And the fact that EV subsidies are expiring around the globe puts downward pressure on EV demand in a way that doesn't apply to e-bikes.
Microsoft Azure Cobalt 100 128 Core Arm Neoverse N2 CPU Launched
> AI, over the long term, will render humans mostly useless.

An extraordinary claim needs extraordinary evidence. If you use the word "may", then I agree. But I don’t think it’s a certainty at this point.
That’s a very constrained imagination. You could wreak havoc with a truly unconstrained, good enough LLM.
The difference is that "the world" is not exhaustible in the same way as Go is. While it's surely true that the number of possible overall Go game states is extremely large, the game itself is trivially representable as a set of legal moves and rules. The "world model" of the Go board is actually just already exhaustive and finite, and the computer's work in playing against itself is to generate more varied data within that model rather than to develop that model itself. We know that when Alpha Zero plays a game against itself it is valuable data because it is a legitimate game which most likely represents a new situation it hasn't seen before and thus expands its capacity.

For an LLM, this is not even close to being the case. The sum of all human artifacts ever made (or yet to be made) doesn't exhaust the description of a rock in your front yard, let alone the world in all its varied possibility. And we certainly haven't figured out a "model" which would let a computer generate new and valid data that expands its understanding of the world beyond its inputs, so self-training is a non-starter for LLMs. What the LLM is "understanding", and what it is reinforced to "understand" is not the world but the format of texts, and while it may get very good at understanding the format of texts, that isn't equivalent to an understanding of the world.
Trying to extend the civil service code to me because I was merely going to talk to an audience with a handful of civil servants is utterly wrong. I’m not a revolutionary Trotskyite.

He isn't, anyone who was would call themselves a Trotskyist rather than a Trotskyite, the latter is reserved for Daily Mail readers ... unless this is some kind of fiendish double-bluff, ....
Noncompete clauses seem like they should be illegal on a fundamental level. Regulate industry, not it’s laborers.
SciFi is always an extrapolation of what you know in your own time.
I'm assuming that doing that would result in audible changes. Like lossy but transparent encoding, repeated application often loses transparency quickly.
Ask HN: Who do you think will be the next CEO of OpenAI?
Your original post didn’t specify evangelicals, you used the phrase “christian eschatologists” and defined it much too broadly which is what I am commenting on. Perhaps you meant “evangelicals” and used the wrong word. Perhaps it was intentional and you simply misunderstood the difference.

Either way I wanted to provide context against the generalization/stereotype your post created.
Exactly.

So what's Sam's crime exactly, trying to cover the costs?
Monero. Disagree with the GP though, these things certainly weren’t around or known decades ago.
Copyright. Copywrite means something else.
We spent the better part of 50 years pouring most of our launch funding (which was reduced compared to the Apollo years) into the Space Shuttle program, which was never as efficient as hoped. (In part because it is a jobs and corporate welfare program as well as a space program.)

Hell, aside from SpaceX and a few similar efforts, we're still pouring most of our launch funding into the Space Shuttle Program, via it's SLS successor - currently over $11 billion spent on a program that has had, to date, one launch.
I think the example at the beginning is an interesting one, because it already shows the difference between pure traditional logic and colloquial use of language along with the fuzzyness of real-world problems.

When someone says "Maria is either at home or in the office" they usually don't mean that she can literally only be at those two locations at any time - even a terminal workaholic loner would go for a coffee occasionally and would spend some time commuting from and to that office.

Yet on to apply the strict logical reasoning the rest of the article uses, you'd need that exact kind of literal interpretation where you can conclude that if she's not at home, she must be in the office.

In reality, when someone says "she's either at home or in the office" what they mean is that the probability she's at any of those two locations is vastly greater than the probability she's at some other place.

I think this is why today we're doing more formal reasoning in terms of probability than in "pure" logical statements, because it lets you capture those kinds of fuzzyness much better.
Archive.org has vast amounts of video; from public domain through "that's not supposed to be here."

There's lots of other sources too.
Did those talks have anything to do with mil-tech though?
The biggest Museums only show a single digit percentage of their art.

https://www.bbc.com/culture/article/20150123-7-masterpieces-...
Go is just making a certain set of tradeoffs. If you try to fix all the "mistakes developers have been doing for decades", you get Rust. And considering that Rust is already Rust, there is not much point in trying to make Go another Rust.

The line has to be drawn somewhere. I think everyone has certain things they'd put on the other side of that line, and strict nils are probably at the top of the list for many, but overall it's good that the Go team is stubborn about not adding new stuff. If they weren't, maybe there would be better nil handling, better error handling, etc. but compiles would also get slower and the potential for over-engineering, which Go now discourages quite effectively, would increase. At a high level, keeping Go a simple, pragmatic language with a fast compiler is more important than any particular language feature.
I honestly prefer this way. Next to my work I also develop stuff privately on their API and just being able to set a fixed amount of credits without worrying about something going wrong in my code and resulting in a surprise credit card charge seems pretty reasonable. For the company I work for it is not really an issue either except that someone needs to look at the budgets beforehand instead of after the fact. But I assume the extra hassle is minimal.
You can broadly say that many homeless people engage in anti-social behavior, and therefore homelessness is a problem we should be motivated to solve even if we have no empathy for the homeless people themselves
Even better would be if employment law violations carried with them 3x+ punitive awards instead of just being made whole (while also being required to minimize damages by, e.g., getting another job).

If this existed employers would be much more well behaved, if only because of the number of lawyers who would suddenly be willing to take on lawsuits without retainer.
I'm sure they are pretty well paid either way. It's not like they would easily be able to go to another company and get better paid?
I had assumed initially that when you were referring to the sympathetic refugee population, you were referring to the Palestinians.
They knew it when they donated to a non-profit. In fact trying to extract profit from a 501c could be the core of the problem.
Satya should pull off some shenanigans, take control of OpenAI and put Sam and Greg back in control.