skysight-inc/HackerNews huggingface dataset:
We know that by lexical scoping rules the variable 'a' (which here is a list) is available only to the function body. Once the function call has completed execution, it no longer exists in memory

The variable no longer exists, but the value does. It depends on a language/runtime, but it’s safe to think about it in terms of “roots” which are non-collectible. A stack (up to the tip) or a special register is one of the roots. Globals table/object is also a root.

When you pin a value (not a variable) into a root, e.g. by putting it on stack (as `return x` does) or by setting it into a global, you prevent it from being destroyed.

Also, this question better fits stackoverflow and likely already answered there, in much more detail than HN could do.
You do if you want HTTPS...

> Amazon S3 does not support HTTPS access to the website. If you want to use HTTPS, you can use Amazon CloudFront to serve a static website hosted on Amazon S3.
> People lie about their true opinions and conform to socially acceptable preferences instead. In private they’ll say one thing. In public, they’ll say another.

Especially when your livelihood is on the line.
A fair query, but it also demonstrates Dunning Kruger effect. Can you share some data on how you reached that conclusion? Since you have posted on HN, do expect some tough questions.
But what about the training data? You can't rely on weights keep being leaked (assuming that that even raises no legal issues) in order for open source AI to advance.
This is great thanks, only had time to skim it so far but these are very much the type of ideas I was trying to pursue ... albeit probably not as richly as shown here. Thanks.
It does if you want HTTPS.

> Amazon S3 does not support HTTPS access to the website. If you want to use HTTPS, you can use Amazon CloudFront to serve a static website hosted on Amazon S3.
There's a gazillion market data vendors out there.

Quandl and Tiingo are often used for personal/retail algorithmic day traders.
In looking into that, ‘dance’ doesn’t seem a far fetched description.

Things like Sydenham’s chorea match too, and could be described as a dance. Another name for it is rheumatic chorea - and it can present soon after a strep throat infection.

There are plenty of medical or lay terms for medical things that are less accurate.

https://en.m.wikipedia.org/wiki/Sydenham%27s_chorea

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6799876/
The issue with backtesting this sort of thing is the data:

- Was survivorship bias accounted for? If you don't have a list of stocks that includes dead issues (bankrupt, merged, or closed) then all your value stocks will be the ones that had a bad period and then miraculously recovered. Your backtest would buy those and make money, while not seeing the ones that had a bad period and then went to zero. This also means you have to track whether the stock was tradable, whether due to the exchange announcing a freeze, or the market just seizing up as participants decided not to risk much. If your strategy does shorting this is going to cause even more pain as you look for historical hard-to-borrow data.

- Was the data backfilled? This is the hardest one to drag out of data sales people, because they often just don't get it. If I have a company that reports its Q2 earnings about six weeks into Q3, is the data labelled as coming out in Q2? Because if it is, I'm backtesting on future information. Also firms that are in trouble may also have timeliness issues in getting their numbers out.

The real reason why the index effect is gone is actually simple. For years now there's been a bunch of traders who build their models around the effect. Their methods are common sense: screen the market for firms that are not yet in the index, and rank them according to how likely they are to get included. Buy a lot of what you're certain will get in, a bit less if you're less certain, and so on. The effect of this is to give you a smoothed out effect so that you can't just hop on board right before inclusion anymore.

It also seems likely that the big index investors actually hire a few of these experts to optimize their purchases. In fact I had a chat with a guy who did this yesterday. It turns out to follow an index, you don't need to buy the whole index. Stocks tend to move together so you can cover most of the principal components with just a tiny amount of stocks. You're not going to do this by buying the little stocks at the bottom of the index, you buy the big ones at the top.
This is spot on, thanks. In fact I'm reasonably sure that it was 'docco' I was remembering having seen in the past.

While digging around with your references I came across Pycco [1] which is a python optimized version of docco and as it's Python I'm trying to document that's a very useful thing to find. Thanks.

[1] https://pycco-docs.github.io/pycco/
The 4% participation right in the priced round—if YC decides to exercise it—doesn't change anything since it will be a normal equity investment along with a new investor. It means that this new investor gets 96% share of the round and YC gets the remaining 4% of the round. This doesn't influence the founders' ownership in any way—the main number the scenarios compare. In other words, if the priced round results in a 10% share of a start-up given to new investors and YC exercises the 4% participation right, YC gets additional 0,4% and new investor gets 9,6% of this start-up. It doesn't matter for the founders' share what the split of the 10% be.

I'll update the option pool numbers. Thanks.
Is this software created with ChatGPT by any chance?
It has been said many times and this rings still true:

It is about who you know, not what you know.

YC used to be a small prestigious clique, today not so much.
Apple employees aren’t unionising because of poor working conditions in Apple stores. It’s generally considered one of the best employers for retail staff already.

They are unionising because Apple has money and the employees would like some more of that money. No judgement, but both sides here are simply motivated by financial self-interest.
This is with 4. It did fine with the question, so I added another layer and it was fine:

A building has all signs in mirror writing. You are unable to read mirror writing. You come to a door and you read it and it says "pull". How should you open the door?

> Since the signs in the building are in mirror writing, and you are unable to read mirror writing, the word "pull" that you can read must be the mirror image of the actual instruction. The actual instruction should be the reverse, which is "push". So, you should open the door by pushing it.
No key element of Cybertruck was revealed in Master Plan 3. Author of this article is apparently unable to read and understand a technical document.
Hopefully it will mean more local solar off grid setups, more heat pumps and better thermal insulation. People need to start being more efficient with the energy they use. The increase in cost will help with that in some cases.
For those unfamiliar, Substance Painter was developed by an independent studio and acquired by Adobe.

It's also one of the greatest, most useful pieces of software of all time. It's up there with Veeam backup in the "Oh my god this is how all software should be" category. There is no other tool that compares.

There's also a buy-once-own-current-version-forever version available for purchase on Steam.
Look for what the investors get out of it - it's rarely a just a pure question of talent, and very often heavily related to human factors. (Is there some reason it make the VC look good, e.g. or tick some other box that's not talent related).

Same as lots of incompetent people are in senior positions, it's a complicated social construction, it's not just a skills ranking.
could anyone explain where do you use flatcar?
is it a distro where people build container like alpine or a distro to run containers?

What's the upside of using flatcar or coreos compared to (say) ubuntu server?
It speaks volumes about the bloat that modern OSs have become when people think of reimplementing their own on top of the successor to BIOS. The EFI environment has a vague resemblance to a 32/64-bit MS-DOS.

I don't find this stuff negative at all, unlike what the author seems to be implying; instead, it reassures me that there's still plenty of old-school "hacker spirit" left in the industry, if you know where to look.
Two reasons I can think of right away:

1. They're good salesman.

2. They convinced people/VCs who are also "talentless".

Why do so many crypto scams get funded? Why do people buy into scam crypto projects believing that the project will succeed and make them rich?
If some fraud is uncovered, the shareholders will lose a bunch of money. So how does that align incentives?
>Nope, learning multiple languages from the beginning has been shown to have many benefits.

More to the point: Speaking multiple languages expands your ability to express and describe everything, which leads to having more variety in your lines of thought. Different languages have different ways of thinking, thus speaking multiple languages nurtures an open mind.

Source: Me, native English and Japanese speaker.
If you follow that line of thought then allowing fentanyl is equivalent to the capital punishment. You can't consciously rely on this to manage society.
> Penny Problem Gap: Economists assume demand is linear, but people’s behavior totally changes once an action costs money. If the inventors of the Internet had known about it, spam wouldn’t be such a problem. If sending an email cost you $0.001, there’d be way less spam.

Freakonomics argues it can have the opposite effect, of "licensing" undesired behavior by those who can afford to pay the cost. Something to think about when it comes to carbon credits, etc..

Here's an idea which will hopefully change someone's life:

If you take the best parts of in silico computing and the best parts of synthetic biology, you can make transformative hybrid devices much faster than trying to make just making tinier and tinier computers or smarter and smarter cells.

Example:

Mimee, M., N. Nadeau, T. J. Hayward, S. Carim, C. A. Flanagan, J. Jerger, S. Collins, T. R. McDonnell, R. N. Swartwout, W. C. Citorik, S. H. Bulovic, R. Langer, and G. Traverso. 2018. An ingestible bacterial-electronic system to monitor gastrointestinal health. Science 360: 915-918. doi: 10.1126/science.aas9315. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6430580/
When asked about usefulness of electricity Faraday replied: "What use is a newborn baby?"
> Maybe they analyzed the middle school report cards of executives and majority shareholders, and tied that to value over time in a way that the S&P 500 did.

You are talking about ad-hoc signals here. Of course there are a lot of them that beat the benchmark, it's the basis of active management.

But we're not talking about any signal here, we're talking about "value" - a signal so well known, studied and persistent we call it a "factor", and often decompose beta/sector/country adjusted residual returns _just_ based on a set of 4/5 of these factors.
Not my downvote, corrective upvote really.

>These could be the Leonardo da Vincis of this age.

Well maybe somebody thinks that loads of well-known personalities today are just as brilliant as DaVinci all over the place, or ahead of their time.

Or that they're so rare we don't have anything like DaVinci in our time.

You never know.

IMHO I would have to say DaVinci was a hacker of his age.
I don’t know. They say “cursed”, I say “cool hack”. Software is there to be abused and bended to fit user needs.
Ah I didn't even consider the Friends sitcom. I'm talking about the girls who live in Heartlake City.

Point was that both Ninjago and Lego Friends are produced by Lego themselves, mimicking IP like Harry Potter and Marvel that they also make Lego of.
We have exactly the same policies in Europe. In fact it was the directing line explained by Klaus Schwab, the West should consume less energy and let the rest of the world prosper. The danger is, when you have less energy, your industries move to countries where they can consume/emit, and you become a vassal state of those countries.

If I were China, I would fund the hell of decarbonation and anti-nuclear groups.
Read https://www.gutenberg.org/files/8581/8581-h/8581-h.htm

And then.. ignore quite a lot of it. That's their modus operandi.
If you see generating model weights in the same way like generating executable binary from source code, then sure.

But AFAIK this is just the first step to get initial weights and later you need much more work to fine-tune this to get useful results from the model.

I think this step could be seen as contaminating weights with copyrighted content.

Something like chrome is copyrighted but chromium is not

I'm not a lawyer, so I'm not that well informed how official definitions match here, but what's I'm trying to say it that I wouldn't be surprised if this would go either way
I have a hard time assuming you are not confusing network delays with rendering speed...
AutoGPT seems to be utterly superior to BabyAGI.

Reasoning: you can actually control and steer AutoGPT unlike BabyAGI which runs on full auto-pilot. This is a crucial feature.

The only benefit I see with BabyAGI is that it allows to use local models.

Ideally AutoGPT should add a feature to use local models as well so we don't have to waste money on OpenAI API use.

What am I missing here?
Little known fact: Fisher Technik is actually a knockoff of an education focused toy set invented by the brother of Otto Lilienthal, who lay the groundwork for the Wright brothers.
Are guides available on how to setup and use?

Edit: Found this https://zork.net/~st/jottings/Real-VT102-emulation-with-MAME...
I think the implication is that commuting longer distances (20km+) is doable on an e-bike.

My commute is 10km (300m uphill) on a regular bike, but I have access to a shower. If I didn't, I don't think I could do it on a regular bike.

In general, it's able to displace longer trips (other than biking for fun) than a non-electric bike.
Understanding that part means you know where to use memoization to speed up what needs to speeding up. Which isn't that much, usually.
Presumably, any undiscovered fraud against the company is more expensive to shareholders than the discovered fraud.
I think they mean that you could end up using an ebike in situations where normally you’d use a car or some other form of transportation.
I guess you've never met anyone religious then. Some of them are dead serious.
It seems unlikely, being "foreigner" would have been a significant factor in the report of dance outbreaks in northern Europe, and it's not part of this story.
>For a living, Tatjana worked as a scientific consultant for large technological firms, the government, and military institutions. Using science and instruments as her tools for analysis, she studied complex problems to get to the very root cause, and hopefully offer solutions.

If you're going to make a living using science & instruments to solve problems others can not overcome, you would need to constantly stay as sharp as possible to begin with on whatever techniques & equipment might be useful, whether they were considered out-of-date or not. Especially stuff you had never seen before. Just to maintain readiness. There would be an advantage to starting early and never quitting.

You can tell a lot about a culture from their instruments.

Remember some completely lost cultures developed over many more centuries in their time compared to what we have right now in our current shapshot. Not necessarily more mathematically or technologically advanced, just the same higher reasoning and intelligence distribution no different than modern man today.

You can also tell a lot about a culture when so few can display the innate drive to further the human condition in this respect.

Also the way she is more than doing her part, but anyone who has had the realistic opportunity to leverage the full 1% of her technical ability has not lived up to that expectation whatsoever.

This is a person who has taken much more of a lifetime to enable themselves to invent things as necessary whenever needed, compared to others having equal gifts in this area.

IOW over the last few centuries the occasional person who put enough of their life into this type of scientific preservation, maintenance & progress in the most productive way has usually still not put as much of their life into it.

And occasionally some of these people turned out to be well-known like Thomas Edison.

But mostly of course their work has always been lost since applying truly revolutionary solutions to human conditions requires momentum from a wave of popular culture.

The more you can reliably invent solutions to problems like almost no-one else, the less likely by comparison it would be to stop doing that and spend time trying to popularize what you already have since the odds are so much in disfavor. Building brilliant stuff by hand is the foundation of so many factories, someone at the pinnacle of ability should be empowered to never stop no matter what, just in case people want a new kind of factory someday.

If that takes years of concentration before a truly potentially popular product could be developed, most often those potential partners with the resources & desire to build popularity will be even less likely of making a favorable deal with, compared to just going back to the drawing board and solving previously untractable technical problems 1, 2, 3.

Just in case somebody can really afford to bring the full 1% of those hands' technical progress to a wider swath of humanity someday.

If you might be discovered one day and called upon to tour the world with your instrumental ability, it would probably be best the more you stay well-rehearsed at all times.
The chart also lists the control key combination for each control byte, for NUL, it's C-@.
This is just silly. You’re saying that these models are completely incapable of what they’re doing and are only getting to answers from cheating. You can see this isn’t true very quickly when using them.

[Me] I want to make a bouquet to honor the home country of the first person to isolate Molybdenum. Be brief.

[ChatGPT-4] To honor Peter Jacob Hjelm, the Swedish chemist who first isolated Molybdenum in 1781, create a bouquet using blue and yellow flowers, representing the colors of the Swedish flag. Some suggestions are blue irises, yellow tulips, and blue delphiniums, arranged with green foliage for contrast.

I didn’t know the answer to that before asking. I also checked that it’s right. Soemtimes it’s right, sometimes it’s wrong. But if I walk up to a horse and ask it to stamp eight times, that’s going to happen approximately never. If I get it stamping at all, then maybe 1/20. This is much better than that.
It's the difference between AI and LLM.
I personally would be more excited to get any access to the large context gpt4 model.
There’s absolutely a place in the world for sparkline plots in TUIs and I need to get back to looking at things like that soon.
This is selling it short. Are you saying you can't do useful things with these models?

I have a python script that's maybe 200 lines long, calling out to OpenAI using gpt3.5 turbo. I can give it commands like "search for the news today, summarize then save into news.txt" -> and it emits the DSL I asked it to use in the 1 shot prompt.

You can give it complex word problems and it'll write python programs to solve them. You can ask it to get top hacker news stories, and it'll find creative ways to fetch them.
That's incredible.

It really seems more and more that the only way it can accurately predict text is to first build a model of reality.
I'm currently talking to chatGPT and asking it how to fetch and filter records from a mongoDB database with a NextJS frontend. I described my record and use case. It told me that I should use a combination of aggregation pipelines and standard queries. Then it gave me the exact code matching my model.

This is far from a stupid and wreckless product.
> Was this worth it? Worth inventing completely new forms of software, worth injecting code into the fucking thermal management layer that overrides parts of the Windows boot sequence and risks corrupting main RAM and rendering the machine unusable, all for a fucking 15 second speedup?

It also feels like the case of some higher up VP-of-whatever not realizing how atrocious the implementation would be, and just ordered it to be done. Nobody below them in the development or engineering teams dared to chime in and protest. Those who protested probably found themselves without a job, or replaced by some overseas contractors who never object to anything (and are usually cheaper per line of code written too, a win-win, surely!).
ssh only looks for those escape sequences on the input side / on the controlling pty.

I think you would have to do something like have the script on the remote ec2 instance emit some pattern that you configure your local terminal emulator to watch for and then somehow tell your terminal to emit the ~L sequence of keystrokes.

iterm2 can do this kind of thing, see https://iterm2.com/triggers.html .
Offer your regards to wealth, and be grateful.

Edit: practically, in fact, some of the points presented are stubs - and require more elaboration, on the contrary.

Edit2: not to mention that Perell also expresses falsities just to bargain on words (like quantifiers).
> A privately owned car is useless battery capacity that is sitting there not driving and fully charged for most of the time while you are sleeping

That’s not necessarily true in the future. One idea I’ve heard is to use charging cars for energy grid balancing.
Something to bear in mind is that fast cheap low power CPUs are almost invariably idle in small devices.

We're already significantly ahead of CPU power needed to run most IoT devices, printers, commodity cameras, control logic in industry and so if you already target an arm core, these devices are analogous to RISC-V. Perfectly comulent for the task at hand.

They might be several steps behind front edge VLSI, but IPR acceptable and capable of improvement.

Within living memory devices were in 4004 and 8080 space at scale. I didn't personally expect MIPS instruction sets to wind up running cheap home routers and NAS, or SPARC either but both have been repurposed into those spaces

These chips are capable of being deployed for good effect. They might never "catch up" and it might never matter. As long as llvm or gnu targets them, and there's an RTOS port, or some Unix like OS if realtime isn't needed, they'll be fine.

Remember that rad-hardened machines are not running current CPU speeds, and we're doing fine in deep space.

Most computers are mostly idle.
Uhh, no, they are closed and timelike. It's in the name.

The whole point of CTCs is that in exotic spacetime geometries, in particular wormhole-like structures, there can be curves that are entirely timelike, meaning that the object never moves faster than light locally, and are closed at the same time, meaning the object ends up at the same point in time from where it started.

In SR, a closed curve requires at least some spacelike sections of the curve on which the object moves faster than light.
Lol no, Llama & it's genus is enough for me & every enterprise
You can't get clearance for company work to use those closed models (due to leaking of confidential data).
This is the primary factor, by far, to my knowledge. No one got fired for buying IBM.
Who is Claude?
Triton itself is fairly "easy", at least as far as "low level optimization languages" go. It's just (restricted) python. If you know PyTorch, you can muddle your way through Triton. They have a few tutorials.

Reading up on nvidia architectures, PTX, and CUDA are likely to improve your skill at Triton.
Isn't an 11% chance to be hiring a really good to incredible employee good signal? I don't think you can have the same chance when hiring from most small companies, not based on company reputation alone.