skysight-inc/HackerNews huggingface dataset:
It's not necessarily increasing supply though. When my neighborhood got new fancy apartments, surrounding apartments were converted to please the same price insensitive tenants that apparently wanted to afford 4k+ living alone.

There are far less total tenants now. Rooms are twice as big, in some cases apartments are twice as big, halving the number of units. These people probably would have stayed outside of the downtown if large units weren't created.
When I see a Prius I think the driver probably has common sense and value's their money over their public image. When I see a Tesla I think the opposite.
The us has an extremely large number of munitions spread across individuals, state run national guard and reserve units, and the federal military.

In a situation where the federal government ceased to be - I don’t think it’s fair to make any assumptions on what successor states would look like. Nor what boundaries thise successor states would keep.
I think that says more about the model than the world it's based on.
Note that this is a research article. The target audience is other researchers in the field, who it would seem would already be familiar with this term. That target audience apparently doesn't include you, which is something that happens fairly often on hacker news and seems like something not to get upset about. It doesn't include me either, but after I actually read the text of the first page of the article it was quite clear from context what co-iteration means. Given the level of effort you've put in so far in this thread my guess is you don't really care what it means, but in case you do: it is about iterating through more than one array simultaneously, generally to do some computation that needs related elements of the multiple arrays at any given step. The example they give is a dot product, where you want to multiply the elements at corresponding locations in two arrays (and then add those products up). They then present clever ways to tell their compiler about different ways of representing sparse arrays so that efficient algorithms for this kind of coiteration can be generated automatically, rather than having to be handwritten for every pair of representations.
A theory I heard that I like, is that if you are getting attacked from the right, and suffer damage to the right side of your head, you probably want your right arm to work more than your left for the highest chance of fighting off the attack.
Made you a toggle button <3
I know. I’m not from NYC anyway. But it was the grandparent that started talking about the five Burroughs.

I think your causality is backwards. Why has downtown and midtown always been the two main population centers, and not one continuous city? Because that’s where the exposed bedrock is, with some swampy midlands in between in the West Village. Geology.
SoftJson – C JSON Parser
Simplistic JSON parser written in C
All these “iPhone is doomed” folks had good arguments, the original iPhone was a flawed device. On paper, the incumbent mega corporations should have been able to come up with an iPhone killer quickly, considering the resources available to them.

What they missed was the inertia and the lack of agility in these big companies. They kept insisting on their current plans until it was too late.

Only Google was capable of throwing away their work and starting fresh. Android was blackberry-like just until iPhone came.

Also, Samsung was smart enough to copy Apple.

The rest were too slow and died off - eventually. However the first few years it was hard to make a point why would you buy an iPhone, people had to see that amazing UI to believe it.
That was my impression as well, but unfortunately this comment is lower on the page than at least a pair of them, so now I'm less sure :/
After having read the paper I would say the headline of "no evidence of brain damage" is wrong. The journalist has misunderstood the intention and results of the paper.

The papers conclusion is that there are a more people with microbleeds in the group that were checked in to the ICU, than people who were also COVID-19 infected, but had less severity of symptoms. They also conclude that there is no difference in the cognitive dysfunction between the two groups, since it was 40% in both groups.

COVID-19 did give them brain damage (microbleeds). It also gave 40% of the participants cognitive dysfunction according to the Montreal Cognitive Assessment test. Participants also reported severe fatigue, depression, anxiety, and insomnia.
> Have you noticed how Tesla started electric cars, everybody laughed, and now they're the only way forward?

But Tesla was super successful even though ICE cars still aren't banned.
Good advice.

At minimum once per 30 day auto-delete interval!
Not sure that synthetic or LLM-generated training data is as useful as human generated text.

It seems "good enough" (for now) but synthetic makes up a very small proportion of the training set being used in current models that have been trained on it, if that proportion ends up being mostly synthetic we'll likely see whatever weird hallucinations and biases in the dominant backend (GPT4 or whatever) become amplified.

It's been shown repeatedly that garbage in = garbage out for training data.
They are better than they used to be but LDO's are finickier than traditional NPN pass element based regulators. Unless you need a low drop out regulator there isn't much advantage to them.

Tip for power supply stuff, derate the heck out of everything. Voltage current and power derate by 2X and you usually won't have issues.
"Empirical software research" could mean a bunch of different things. This article is about studying people writing software, not about software used for research in empirical sciences, and not about research into computer science.

I'm confident the answer to what follows from that is "nothing yet" based on various conference talks. Studying developers (or in a worse case students) writing software doesn't seem to be an effective way of working out how to write software better/faster/whatever.
>Yeah, you can tell relatively easy if it's bullshitting and making things up, if you're paying any sort of attention to what it tells you.

It's trained on generating the most likely completion to some text, it's not at all easy to tell if it's bullshitting you if you're a newbie.

Agreed that I was condescending and dismissive in my reply, been dealing with people trying to use ChatGPT to get free lunch without understanding the problem recently so I just assume at this point, my bad.
The reason why the US is the number 1 producer of greenhouse gases is because of decentralization.

Our cities are built unlike any other city in the world. We live in vast swaths of suburban sprawl that is so decentralized you get cities like LA where it takes over an hour to get anywhere within the city.

The problem is opposite. We aren't dense enough. No plot of land should be single family.

Sb-9 and adus are designed to help relieve this problem, but ultimately residential areas should all be apartment units 10 stories high when there's a population mismatch with housing and people. Singapore, Shenzhen, Tokyo, Shanghai and any other city evolves their urban infrastructure with a change in population. The western US chooses not to do shit.
I'm sure one can develop great skill in their arcane incantations,
but how we call it is a matter of taste
Street view for Google Mars. I think the atmosphere is too thin for those photo-taking cars to run very far. That and the lack of any streets on Mars.

At least in the unclassified imagery that has been made public... (cue eerie music)
I recall there used to be a school of thought that argued that making programming languages more like natural language was a futile effort, as the benefits of having a precise, limited, deterministic, if abstract, language for describing our ideas were far superior to any "close enough" approximation we could achieve with natural language. Where have those people gone?

When I step back and think about this LLM craze, the only stance I'm left with is that I find it baffling that people are so excited about what is ultimately a stochastic process, and what will always be a stochastic process. It's like the world has suddenly shifted from valuing deterministic, precise, behaviors to preferring this sort of "close enough, good enough" cavalier attitude to everything. All it took was for something shiny and new to gloss over all our concerns around precision and certainty. Sure, LLMs are great for getting approximations quickly, but approximations are still just approximations. Where have the lovers of certainty and deduction gone? I can't help but think our general laziness and acceptance of "close enough" fast solutions is going to bite us in the end.
Been there, done that.

Here's the same functionality in R. Guess who finishes first and takes the afternoon off?

library(readr)
library(dplyr)
library(ggplot2)

df = read_csv('release_data.csv') %>%
arrange(Date) %>%
mutate(days = Date - lag(Date))

p = ggplot(df, aes(x = Date, y = days)) +
geom_col(color = '#008080') +
scale_x_date(date_minor_breaks = '1 year') +
labs(title = "Days since last SQLite release")

ggsave("days_since_last_sqlite_release.svg",
plot = p, device = 'svg', width = 12, height = 7)
History of computing hardware (1960s–present)
And it's such a shit product...

Subsidy to set food production at odds with energy is a colossal error
Inside Barry Diller’s plan to stop ChatGPT from destroying the news business
Modern Mini Coopers come in a variety of not-so-mini sizes.
Interviewing Engineering Executives
Let's see if this would survive the wrath of the music establishment if it catches on.

I'll start the timer now.
Blksnap – block devices snapshots module
And if your device spends a lot of time asleep, linear regulators may beat switching regulators by a LOT.

Leakage current can dominate your design, and switching regulators often have lousy leakage current specs (to be fair, so do a lot of old school linear regulators). Furthermore, switching regulators often have to "spin up" while a linear regulator is just sitting there ready to go as soon as your MCU switches on.

In addition, switching regulators tend to be designed for higher currents and tend to have terrible efficiency at small currents (< 1mA). If your circuit uses a very small amount of current even when active, a linear regulator may be superior even for constant-on systems.
Consider replacing your grass with clover if your local jurisdiction will tolerate it.

https://germination.ca/need-a-bit-of-luck-turn-to-a-clover-l...

https://www.bobvila.com/articles/clover-lawn/

https://www.outsidepride.com/seed/clover-seed/Clover-Seed-Pl...

https://www.bhg.com/how-to-plant-a-clover-lawn-6750469

Your local Extension office is a valuable resource.

https://extension.org/search_gcse/
How does the New York Times make a game?
Pretty sure if you bet against them consistently you come out ahead.
Calling Cramer just an entertainer is absurd, he's more manipulator of a gullible audience than entertainer. It's pretty clear his role is to promote investing, and more specifically making certain (often bad, for the audience) investments.
Are you sure you aren't just imagining things about Tesla vs what is really true? When I see a Tesla, I think techie, likely Indian or Chinese, but thats just my own local profile of Tesla drivers in my region.

When I see Prius, I think either ecological grandma or Uber driver. Again, just a sample from my local region, it might not hold for other parts of the country.
> I think historically there's probably been a lot of bigoted people in the service, but I'm not sure we should set policy to specifically cater to them just to bump recruitment numbers.

This is a straw man point. Not wanting to be in a "woke" organization and having to constantly have stuff like sexuality bashed over your head that doesn't belong in a professional workplace doesn't necessarily mean that you're a bigot.

> I don't think the US is trying to start trouble.

I have friends from countries like Ukraine and Georgia that face big problems with Russia. Even though they don't necessarily always like Russia's government, they refer to the US as a literal spider, always sneaking around and trying to achieve power and play games everywhere. They tell me how the US meddles in their own politics and elections all of the time. Feel free to have your own belief, but your opinion is contrary to a lot of my own experience from people in the region.

> Military service requires a ton of vaccinations and so antivaxxers were never jumping at the chance to sign on.

Being against the Covid vaccine specifically doesn't necessarily imply that you are against all vaccines. I'm not trying to be insulting, but I'd like to express in the kindest way possible that the people that are very afraid of Covid do not seem to be informed about the other perspective very well at all.

> I'd even suggest that we're probably better off without them anyway.

If the concern is dwindling recruitment numbers, you do realize that a non-trivial percentage of the public is against the Covid vaccine, right? Maybe the military can limp along in peacetime without them, but God forbid there's ever a real national emergency that requires a unified response.

> someone whose judgement you want to depend on being able to make quick decisions in a critical situation.

Feel free to have your own opinion, but I have the exact opposite interpretation.

Succumbing to peer pressure is weak-mindedness. Many people didn't want to take it, and knew it was the wrong choice, but did so because of peer pressure and not wanting to face any minor personal difficulty like not being able to see a concert for a few months. This is not an admirable quality.

On the flipside, the people who did what they thought was right regardless of the personal difficulty it posed in their lives have demonstrated a remarkable bit of positive character. These people resisted the greatest government gaslighting event in the history of the world. Being able to say no when all of the institutions of the world are trying to get you to say yes is an honorable quality that shows a strength of will.
I see, thanks for your answer.

> Do you implement your own storage with Quickwit or can it be backed by a cloud storage solution like S3?

I'm a cofounder of Quickwit and I did not use OpenReplay directly, I just know OpenReplay used ClickHouse + Quickwit for search. I don't know if this is a common setup and if it was just used for very specific use cases. You should ask them :)
It’s literally the text. It is not a stream of consciousness. There is no carryover of “consciousness” state. It is the raw text without even the embedding information, not that we should consider the embedding representation to be an internal state, because it is not.

That difference is the whole point. There is nothing to transfer.
Isn't model Y also 1.5 times more expensive compared to its equivalent competitors like the Ford EV SUV and Id4?
You keep insisting that I am being "emotional" (presumably to frame yourself as "rational"?) and you keep avoiding actually confronting what I say.

So let me put this bluntly:

Am I correct in reading your comment as stating that democracy is undesirable because it holds back those who are exceptional?
The quest for the root and archeology of ideas and applications is fascinating.

With all due respect with well known scientists like Leibniz, the distribution of your ideas was and remains to be key to be named. It is always nice to keep searching for prior influences and inventions.
Mathematics And Its History by Stillwell
They probably have a switching power supply, but if you want really simple and low parts count, you'd do a transfomer down to something nicer, have a full bridge rectifier, a capacitor, a current limiting resistor, and then put all the leds in the bulb in series; that way you don't need a big ratio for the transfomer... although maybe that's not a big deal, and you may prefer to not need a higher voltage capacitor, or a more failure tolerant parallel wired LEDs. You could have a linear regulator in there too, but careful component choices may allow that to be omitted.

But switch mode power supplies are probably more efficient and highly miniturized, better adapted to different line voltages, etc. All around a better choice. Some sort of smarts are needed to work well with dimmers as well.
> I personally don't believe CO2 is a driver of climate change.

You can't just say that and not give a reason (unless "the science is junk" was the reasoning needed for any level-headed person to arrive at the same conclusion as you), at least not if you want to be taken seriously. Bit like saying that the sky being blue is just an optical illusion and it's really purple because the science on why it's blue being bogus and the real-world observations being just a coincidence.

It's so far out there and so casually said that I'm again not sure if this thread is just full of flame bait or legitimate opinions. Do people that believe there is no major conspiracy just not open these threads anymore in comparable numbers to those who believe in a conspiracy? Or do you actually believe the opposite of what you wrote but it's way funnier to cause this waste or time going back and forth over it?
There’s such an odd feeling to reading this on an iPhone a decade later.
Antimatter also has anti-color-charge. Quarks have a ‘color charge’ (unrelated to visible colors) which is ‘red’, ‘green’, or ‘blue’. An antiquark is antired, antigreen, or antiblue (and has the opposite electrical charge from its corresponding normal quark).

https://en.wikipedia.org/wiki/Color_charge
Step 1: You briefly short the inductor. Inductors cannot instantaneously change current, so they will linearly ramp up the current over time. This builds up a magnetic field in the inductor.

Step 2: Stop shorting the inductor. Inductors cannot instantaneously change current, so the now-built-up magnetic field continues pushing current into the switching node. The magnetic field and the inductor current linearly ramp down over time.

The forced current will push charge onto the parasitic capacitance of the switch (from switch to ground), the inductor itself (from inductor output to inductor input), and the reverse diode capacitance (anode to cathode).

Since capacitor voltage is charge over capacitance, once enough charge is forced onto the capacitance at the switch node, eventually the voltage from the switch node to the output capacitance is high enough to turn the diode on in forward conduction. The rest of the inductor current is forced into the output capacitance until the remaining magnetic field in the inductor is depleted.

Step 3) Repeat very fast to reduce inductor size and ripple current required (100s of kHz or MHz speed). Vary the duration for which the inductor is shorted in step 1 according to how much charge you need to put on the output capacitor. You could figure this out open-loop by noting that output current at the high voltage side is in charge per second, output voltage is equal to charge over output capacitance, calculating the time taken for the ramp to grow and decay, etc. Or you could design a closed loop control scheme that looks at the output voltage and converts it to shorted duration for you (this is what most integrated circuit boost converters do).

In summary, you dump current into a inductor to build up a magnetic field, then you use the inductor's magnetic field to yeet current up over a large voltage difference.
"Works" in what sense? Nobody is stopping you from plugging negative values everywhere, but the laws were formulated with sctrictly >=0 mass in mind.

What would need to happen for you to claim that negative mass "doesn't work"? Some infinities somewhere? A division by zero in some place?
From this post: If you want to learn some more advanced techniques, Prompt Engineering by Lilian Weng provides a fantastic overview.
To my knowledge no SOTA model has been trained on a significant proportion of synthetic data, has this changed?

The best examples I know of are instruction tuning sets but that is a minute amount of data compared to the unsupervised training data.
Second the interest in that!
The year is 2023, and people are writing articles like this as if it is anything new?
It's just American Exceptionalism. Many people in the US categorically refuse to entertain the idea that their system isn't the best, and come up with justifications that sound funny to outsiders.

I've been living here for 15 years and the recurring pattern still hasn't stopped being funny.
> Move reflects desire to galvanize base ahead of 2024 election

What if there is an understanding at all levels, base and otherwise, that the unintended negative consequences of a digital dollar might exceed the benefits?
For the Libre 2 I use the dedicated hardware reader to initialize the sensor. This lets me avoid using the Abbott app altogether.

The app for Libre 3 is called Juggluco. But really I haven't tested it, so this is just from reading about it.
They May Be Just Acquaintances. They’re Important to You Anyway
You can go an hour in Beijing or Shanghai and not get anywhere in those cities. They are sprawling also, but well, those places in Pudong eventually became popular as Shanghai became more popular.

LA traffic is way way better than Beijing traffic. They aren't even comparable, really.
Should the Least Valuable Leg of the Nuclear Triad Be Replaced? [pdf]
Mihalis from Language Transfer teaches in a similar style (but with a Greek accent rather than a Polish one.) He's free (takes donations) and the courses are extensive. The selection is limited, but he's a one man band.

https://www.languagetransfer.org/
Thanks for the advice, well said.
Pain, hope, science collide as athletes turn to magic mushrooms
If you wanna try, SJIM and LJIM are the ticket symbols to buy.
They even have their own languages for coding the chip logic ( Verilog is one).
My partner did chip design and layout. The used a tool call magma (We have some mugs from a conference she went to) but they got bought by synopsis. Very expensive, very specialized software

https://www.synopsys.com/#
Someone did a retrospective on many of the naysayers in this article:

https://www.arnnet.com.au/slideshow/428957/pictures-five-yea...

I think, in the long run, the humility to admit wrong-saying does more for credibility than making excuses.
I don't particularly have a big problem with math at the level that AIs tend to be useful for, and find that it tends to hallucinate if you ask it anything which is moderately difficult.

There's sort of a narrow area where if you ask it for something fairly common but moderately complicated like a translation matrix that it usually can come up with it, and can write it in the language that you specify. But guarding against hallucinations is almost as much trouble as looking it up on wikipedia or something and writing it yourself.

The language model really needs to be combined with the hard rules of arithmetic/algebra/calculus/dimensional-analysis/etc in a way that it can't violate them and just mash up some equations that its been trained on even though the result is absolute nonsense.
It depends on how you define "short term". If you until until AGI, then sure. Until then, however, for anything that is going to potentially generate revenue you will need to consider the points raised by the article to keep costs manageable, to avoid performance regression, etc.
I don't know if it is fair to call it "engineering" but it is not snake oil.

Prompt engineering is programming but with natural language. Even between us humans being able to communicate clearly is essential part of understanding each other. It is also a form of programming.

Prompt engineering, or whatever you want to call it, will be an important part of how we communicate with machines in the future.