skysight-inc/HackerNews huggingface dataset:
The HP Elite Dragonfly Chromebook Enterprise was configurable up to 32GB.

https://www.ebay.com/itm/335423020537
300 watt-hours per cubic meter is not large by any means. You can get 300wh portable batteries and they are the size of a loaf of bread, this is at least 1 magnitude bigger/less dense
"The United Fruit Company (UFC), whose highly profitable business had been affected by the softening of exploitative labor practices in Guatemala, engaged in an influential lobbying campaign to persuade the U.S. to overthrow the Guatemalan government."

It's amazing how decades later, they heirs of United Fruit Company are still using violence as a tool for increasing profit. This is what happens when individuals are not criminally prosecuted for bad conduct. I'm sure it will happen again.
libxml is xml parser, html5 is not xml.
Yes, but with the algolia API, you'll need to make way fewer requests, as you'll get up to 50 comments per API call + you also get the title and URL of the post where this comment was posted in the same call.
It's indeed not correct... but it diffracts so some of the light lands on your eye later because it's angled differently hence the colour change... just guessing. I'm not a physics major.
Location: Barcelona,Spain
Remote: Yes
Willing to relocate: No, but can travel on a monthly basis.
Technologies: NodeJS, Typescript, AWS, React
Résumé/CV: On Request
Email: ignasi.tuduri@gmail.com
Linkedin: https://www.linkedin.com/in/ignasi-tuduri-pons-15285931/

I am a full stack engineer with extensive experience working in startups and mid-sized companies where I’ve learned to build and maintain highly scalable software products from scratch.

My strongest skills are Typescript, NodeJS, and React. I’ve also built some side projects (mobile apps) using React-Native.

I have been working remotely for 6 years, and I value remote-first companies where I can work with interesting and diverse people from different countries. I understand the importance of well-written communication for remote teams to allow as much asynchronous work as possible, reduce meetings, and increase deep productive work.
I think we really need to consider the efficiency of the shuffle as well when evaluating a shuffling technique. If it takes hundreds (much less tens of thousands) of lengthy steps to shuffle the deck, then no one is going to do it.

Additionally, your analysis only considers when the permutation is reachable. You would also want to look at how likely each permutation is.
I have some personal insight on this one.

My opinion is that data access restrictions did not cause Alexa to fail. If you think about it, it wasn't lack of machine learning that contributed to its issues. Alexa attempted to solve the long tail of customer requests with the equivalent of spaghetti "if statements" - rule engines. This was never going to scale. Alexa did not have a generic enough approach to cover the long tail of customer requests (e.g. AGI). With rule engines, there was always a tension between latency and functionality. Alexa solved this with bureaucracy - monitor latency, monitor customer request types, and make business decisions about how to evolve the rule engines. But it was never fundamentally able to scale out of the most basic requests or solve chicken-egg problems (customers don't ask complicated requests because Alexa isn't capable, so they don't show up as large enough use cases to optimize for). Top use cases remained playing music and setting timers.

A more fundamental issue was monetizing. Early on Bezos liked the idea of having a small, essentially free, device that would reduce the friction to buying things. If you remember the "easy buttons" Amazon floated there were many ideas like this. In practice, building a robust voice assistant that could purchase items proved challenging for a myriad of reasons. So the business looked for other ways to monetize. Advertising kept coming up but there was rank and file pushback to this because it could break customer expectations and/or privacy concerns. Alexa considered pivoting into various B2B ventures (hospitality, healthcare, business) and other customer scenarios (smarthome, automotive) but took half-measures into each of them rather than committing to an opportunity. It felt like a solution looking for a problem.

Alexa would have (could still?) benefit from modern LLM technology. However to be truly useful it would need to do more than chat. It would need some layer to take actions. This would all have to be carefully considered and designed so that it scales - so that it isn't a bureaucracy trying to measure what people are wanting to do and "if statement"ing a rules engine to enable it. OpenAI and others appear to be poised with the machine learning expertise to do this.

Finally, it's my opinion that Alexa's machine learning scientists were very good, however as a population they did not appear to me to really care about the business/product use case. Many of them worked on research for publication on problems like distance estimation, etc. The expertise was very heavy on voice transcription and audio processing. However there was less expertise in "reasoning". This I hypothesize contributed to the approach of iterated rules engines, with the science community focused primarily with improving transcription accuracy by small numbers of basis points.
At this point I would be surprised in Elon hadn't sexually harassed an intern at one of his companies, but the parts about Gwynne Shotwell were surprising to me. She gets a lot of credit and respect on HN so I was not expecting to see

> Shotwell participated in a video “that mocks and makes light of sexual misconduct and banter,” including a scene in which an employee demonstrated the “correct” way to spank a coworker.

As well as her saying “Elon is one of the best humans I know.”
Last I checked the homebrew version of pidgin was native...
On the gpu a masked out load is a nop. It certainly is better. And scatter functionality is probably quite painful to emulate without the intrinsics.
Anti-human is software not in control of it's human user. So an "environmental computing infrastructure" is anti-human.

A classic desktop model, where the OS is a single application, user-programmable with ease like modern Emacs or classic Smalltalk workstations, of course networked with other systems offering the same kind of interaction, so a kind of "environmental computing" but personal that's pro-human. Because you are not slave of someone else created automation with more or less limited personalization, you are the owner, the commander of anything belonging to you.
What do you mean by harm? Appliances could be made smarter—think fridges, water heaters, pool pumps, air conditioners, dishwashers—the grid just needs to communicate price info, and the electricity needs to be priced in line with production capacity. It would be extremely easy but there’s no incentive to do it.

I mean, flip it around. Those of us who can plan ahead are being harmed by the fact that we’re paying for a system that caters to those who can’t.
I can't believe this "refactoring" is actually presented as good—creating unnecessary abstractions for a simple function.

If anything, I would go in the opposite direction. There's no need to use parameterized variables at all. Just write out the message 3 times:

private String generateGuessSentence(char candidate, int count) {
if (count === 0) {
return "There are no " + candidate + "s";
} else if (count === 1) {
return "There is 1 " + candidate;
} else {
return "There are " + count + " " + candidate + "s";
}
}

Maybe this isn't "clean" (I'd claim it is) but it's certainly the easiest to understand.
Pretty sure they read

"If I can't get in, they can't blame me if something goes wrong down the road."

as

"If I can get in, they can't blame me if something goes wrong down the road."

That's the only interpretation that sounds threatening.
It depends who the "we" is; many of the people who dismissed the fear of Peak Oil, did so on the grounds that low supply would drive the price up high enough to encourage the development of alternatives — phrases such as "the stone age didn't end because we ran out of stones" and similar.

My main worry in 2010 was that it is very difficult to balance an exponential increase in demand for a thing that is a big employer (such as oil) with some convenient replacement that employs a similar number of people at a similar cost.

The economics of the transition to PV and wind are much smoother than I expected, because I am not an economist and did not have a remotely realistic model for how any of this would work in practice. (Hopefully my similar concern about the upcoming economic transition due to AI automation is misplaced for exactly the same reasons).
This is my experience as well- even the popular hype underestimates how creative and intelligent LLMs can be. Most discussions are reasoning about what it should or shouldn’t be capable of based on how we think they work, without really looking directly at what is can actually do, and not focusing on what it can’t do. They are very alien- much worse than humans at many things, but also much better at others. And not in the areas we would expect in both cases. Ironically they are especially good at creative and abstract thinking and very bad at keeping track of details and basic computation, nearly the opposite of what we’d expect from computers.
Avogrado Constant
I'm curious how those numbers are calculated. My brother works for a company that installs and supports operations for microgrids and renewable power generation.

At the moment, solar is slowing down, because private equity is turning to cobbling together quotes from residential installers as a bargaining tactic to get lower quotes from my brothers company.

It's a profoundly bad idea, but if they can get something together and flip it to naive buyers in a few years, they can get away with it.

All of that is to say, there's lots of bad cost estimation out there for commercial solar, and I know it'll happen sooner or later, but I'm still skeptical that solar+storage is going to beat carbon in the "sooner" range.
So I used to be an Android dev and left years ago because of how mismanaged their upper levels of the stack became. Their Java API was never good (j2me was cleaner) but somehow the extensions rarely represented an improvement and just introduced more new problems.

The low level pieces of Android have dramatically improved over the years though, and are clearly battle tested at enormous scale. Binder, of recent security problems, is functionally very useful. The graphics system handles DRM and HDR on different hardware surprisingly well these days, and even the audio stack is far less annoying than it used to be. Considering that Android devices are expected to run continuously this is no small achievement. Some years ago I wrote and deployed Android code that decodes and plays video, with audio, constantly, for months on end, synchronized to an external clock, on a random cheap OEM board, while downloading the next one over a flaky network, with relatively minor alterations to the OS being necessary. It may be possible on other things but I would probably still be debugging it.
There are some issues with the code he's criticizing (createPluralDependentMessageParts is satire), but his infatuation with ternary operators makes his code a mess
> Think private relay/URL's but for identity.

More like Hide my Email [0].

[0] https://support.apple.com/en-us/105078
OMG, they do. This article just upped my dice snobbery game.
Yes; a dispersive prism (https://en.wikipedia.org/wiki/Dispersive_prism) is a simple example of this (both prisms and diffraction gratings are used to break light up into its spectrum). The fundamental physical mechanism is known as "dispersion": https://en.wikipedia.org/wiki/Dispersion_(optics)

The backstory of diffraction gratings is part of the ongoing story of precision. The first ones were created shortly after Newton's use of the prism to demonstrate dispersion, and by the late 1800s, https://en.wikipedia.org/wiki/Henry_Augustus_Rowland was quite good at making high quality gratings that were used in astronomy to figure out some of the most fundamental details. They were highly sought after- effectively he was the only person who could make high quality gratings for a while (and he shared them widely).

If you really want to go down the rabbithole, see https://en.wikipedia.org/wiki/Dividing_engine (fans of the screw cutting lathe will appreciate that the same technology is used) and https://www.edmundoptics.jp/ViewDocument/MKS%20Diffraction%2... and http://snl.mit.edu/pub/papers/WP/Nanoruler-White-Paper.pdf
What do you mean by "compound booleans"?
I’m not sure if Texas qualifies, but yes. When it gets too hot or too cold the Texas grid tends to fall over. Mostly because Texas aggressively deregulated their power grid allowing producers to cheap out of weatherization.

If you live in Texas rooftop solar and a battery are highly recommended.
That's 6400 Mbps/line.
Typically we have a 128-wide memory bus (2x64) if I remember correctly.
Apple gets it's significantly higher bandwith through having a huge bus width (a tactic HBM also employs), something Lunar Lake seems to also be stepping towards.
> Chenjesu-Mmrnmhrm merge to create the Chmmr in SC2

I'm having a Llanfairpwllgwyngyllgogerychwyrndrobwllllantysiliogogogoch moment here
There's basically little to no truly hard sci fi under that definition. Even the Martian fudges things to make the storm happen as the plot needs it to. I can't think of any other recent movies or books that fit your criteria, though I'm sure there are some books at least.
Chess and Go are some of the simplest board games there are. Board gamers would put them in the very low “weight” rankings from a rules complexity perspective (compared to ”modern” board games)!

Mathematics are infinitely (ha) more complex. Work your way up to understanding (at least partially) a proof of Gödel’s incompleteness theorem and then you will agree! Apologies if you have done that already.

To some extent, mathematics is a bit like drunkards looking for a coin at night under a streetlight because that’s where the light is… there’s a whole lot more out there though (quote from a prof in undergrad)
The framing that these llms disrupts education seems to be for the benefit of those who designed the current education system.

The reality is it is terrible, and always has been; arguably, by design.

A learning aide that gives you an “answer” is a good thing if you value questions over answers.

We should be improving our educational standards regardless of these new toys.
We can definitely defer our air conditioners for times when it is sunny, haha.
Yes, and the trouble I've seen is that MTG players assume they aren't shuffling like a pro card dealer when their shuffles are actually even more uniform. IIRC Diaconis' original study even mentioned that the number of required shuffles balloons out of control with these very uniform shuffles.
> I’ll be discussing the very first example of refactoring in his book from “Chapter 2: Meaningful Names”.

I prefer the 'after' (not that I don't have complaints about it).

When I read 'before', I can't see any structure. I scan from top-to-bottom, get half-way down, think "wait, what?" and my eyes jump back up without me even consciously deciding to.

> The first thing you’ll notice is that Martin has taken a single, mostly PURE function (shout out to all the functional bros), and made a class out of it.

That doesn't make a good purity argument. 'Before' has a print. There is no way to test it apart from reading stdout (or god forbid, having your test harness somehow intercept/mock the print call). `After` has no such IO, it returns the String itself to make unit testing possible.

I despise mutability, but neither before nor after does any re-assignment, (only assignment.) So really, those fields should be marked 'final' and the 'private void' methods should be constructors or something... I'm not really sure about the 2008 version of whatever language he's using.
Not that uncommon. I wash PC cables, PCBs, tools, microscope slides, lenses, all sorts of things in the dishwasher.

I also keep an ultrasonic cleaner on my desk for small things, but I can't be in the same room when it's on because it's too loud. Until I build an enclosure for it, the dishwasher will be my main cleaning tool.
It's a pretty phenomenal upgrade.
It's only half the energy associated with raising the temperature of the same mass of concrete by one kelvin.
The google one is also pretty shocking.

Since I have phillips hue it also includes all the times I've turned on and off various lights, every noticiation on my phone, all the apps I've used on my phone and TV, every ad watched etc.
Intel i5-6500 with 16GB does 7 watt idle.
lol down vote, please someone define telepathy...

Telepathy is the purported vicarious transmission of information from one person's mind to another's without using any known human sensory channels or physical interaction.

I mean come. on.
Duperemove
It isn't. Ercot keeps records, or you can check the outages section of wikipedia https://en.wikipedia.org/wiki/Texas_Interconnection .
Spinning Lidar Visualizer
A pitch deck in ppt does not make a company. It really wouldn’t/couldn’t have been an employee type of relationship.
Recall is unfortunately interpreted as the fix, “physically send back to factory”, where as it is actually a term of art meaning a public notice of a safety-endangering problem that the manufacturer is responsible for fixing, replacing, or refunding for free.

While I have previously agreed that it should not be necessary to change the term, it is unfortunately confusing to laypeople and intentionally misconstrued by bad actors to downplay safety faults. I propose it should be replaced with: “Safety Defect Notice” which is a fairly precise description of the underlying concept and can not be misconstrued to be about the “fix”.
I agree, there's definitely more percentages to gain and possibly even new fab techniques that can result in more densely packed chips using less power.

However, those will (likely) be exploitable regardless of when the fab was built. The limiting factor isn't likely going to be the fab equipment so much as the techniques used.

That's where I don't know that bigger better fabs is going to be the arms race that it has traditionally been.
and also lots of >hazardous compounds such as arsenic, bromide, strontium, mercury, barium, and organic compounds, particularly benzene, toluene, ethylbenzene and xylenes.

This will likely contaminate the land, rendering it unsuitable for agriculture and, I dare say, potentially transforming it into a barren wasteland incapable of supporting organic life.
Starship famously has one mandated mission: colonizing Mars. Most design decisions revolve around it.
Communicating FTL breaks causality just like FTL travel does.
For what I read about Texas, the root if the problem is that they opted to disconnect from the interstate grid, IIRC to avoid Federal regulations. If anything goes bad, they can't lean on neighbor states to provide, so they blackout.
It's a bad day to be a language model
they want you to shop with your voice because there is a lot of friction if you then decide that's not what you really wanted. most people if they mistakenly order something with alexa will just let it be delivered, not cancel it.

same with using a mobile app to shop. you have less ability to cross shop quickly because the interface is inherently slower than a mouse and keyboard plus the OS multi tasking features are horrible. plus they get a lot more information about you with their app.

so it's not always that they think the feature is better for you, it may just be that it's better for them.
In my experience, mostly using LoRA finetunes with OpenAI, it is important to include a/the prompt in your fine tuning dataset. It is _also_ important to include that prompt at inference time. I have not seen any evidence of being able to save on input tokens by using a LoRA, at least not with the chat models.

This was a bit less true of older models like davinci - you really could basically just send them data (not sure how they were fine tuned under the hood). However, these models were less powerful in general.

For `gpt-3.5-turbo`, which definitely uses LoRA or something very similar, I have not witnesses this behaviour.

Another way to look at this is that when a LoRA is added to a sufficiently large foundation model like GPT-3, it doesn't really lose its "GPT-ness"
Quite a linkbait title. Better title might be "Rick Beato
- recent advancements in AI music tech and its implications [video]"
Doesn't debt, both national and personal, come into this equation in a big way, though, as far as anchors?

Like, if I bought a house 10 years ago for $50k (which I actually did), paying off $50k with today's dollars seems like no big deal compared to yesterday's dollars. $50k today buys a new car, not a (admittedly on the inexpensive end even at the time) new house.

If the prices of other things are growing a lot faster than the interest rate I got on that house (which I'd think of as the expected time value of that money over the life of the mortgage), it makes sems that the prices are "high" relative to that expectation.

I think something similar happens on the scale of the national debt. Adding a trillion dollars now isn't nearly as big a deal as adding a trillion dollars the first time, because "prices are high" for both labor and goods (income and expenses, from the average citizen's perspective).
Made me think of Factorio (game in which you bootstrap automated factories on an alien planet) where all the robot arms run at reduced speed when power demand exceeds supply.
I am not familiar enough with the topic to comment on the numbers, but do the costs you quoted for renewables factor in externalities associated with reaponsibly recycling dead solar panels?
the privacy thing became a real roadblock due to GDPR emerging after the whole Facebook scandal.

can confirm that several of my launches got delayed to bolt on GDPR
This is something people are (intentionally?) ignoring. It's very easy to simplify things down to $/kwh and say "look how much cheaper solar is!"

A lot of research is going into storage. I would say energy storage is THE challenge of our lifetime.
In ancient times, they would have called that a shmoo of uncertainty, while avocado was the color your telephone and refrigerator happened to be.
I'm not sure AI can do that reasonably well. Notification "Foo is available for sale now" - is that an ad? From the Uber app, yes. From the app explicitly used for tracking bargains, no. From the supermarket app, maybe, depends if I subscribed to that thing. There's a lot of context that automation will not understand.
In germany a consumer protection organisation currently sues Facebook because of the difference between the stalkerads and the adfree options. Companies buy add for cents and to be adfree you have to pay 10€ per month and they don't think that an average user sees thousands of ads each month.
Consider Attio. Unaffiliated but a very happy user, also with a fairly unique business to keep track of.
Just when you thought that OS couldn't get worse.
> What kind of problems did you encounter?

The problems with search and index which you detailed. Nice work.

> with a caviat that it needs a local webserver. I've used "python3 -mhttp.server" one

You and I can do this no problem.

The "Download this [Site]" functionality is designed for novice users, who have never used the terminal.

In user testing with that target user this week, it was clear that they can easily download, unzip, and open index.html, but from there everything needs to "just work". So a lot of getting little details all right to make that happen.