skysight-inc/HackerNews huggingface dataset:
I have NEM 2.0 and 25 kWh of batteries. They'll be "paid for" in about 5 years because I load shift from $.81/kWh to $.15/kWh in summer. For example, during peak, my system will feed 100% of my solar back at the $.81 rate and then charge back during the $.15 off-peak.

Penciling it out, this saves me an average of $12/day in charges. 5.4 years and then I saved more than I paid AND have whole home backup AND continue to save ~$300/mo.

Two EV household, multiple kids, etc. We use more juice than we should.
> SAM can identify objects it has never seen before

I'd love to see what SAM does when you send it a photo of rolling fog though, e.g. https://www.google.com/search?q=rolling+fog+scotland&tbm=isc... - what happens then? (and how can it meaningfully segment-out fog?)
Makes a ton of sense, doesn't it. We're attributing our preferences - biological, cultural, etc. - to the good stuff, then later on "discover", piece by piece, that we're not that special. I know many truly intelligent people who do feel humans are special and it's been blowing my mind for decades
They mention this multiple times in the paper. For example, in the “Limitations” section they write: “SAM can process prompts in real-time, but nevertheless SAM’s overall performance is not real-time when using a heavy image encoder.”

This paper is one of the highest quality papers released this year. I wish more papers were so clear and informative.
Are you suggesting that committing murder and violent crime is pervasive among tech executives?
I just read somewhere today that their new code completion tool, CodeWhisperer, is better at Amazon APIs than GitHub Copilot (makes sense).
CentOS 7's end of life is in sight. Are you ready?
The Great Flowering: Why OpenAI Is the New AWS
vim, emacs support. must haves.
The worst case scenario I can think of is a generated prion disease... a respatory version of Mad Cow disease, or something like that.

Fortunately the training dataset for that is extremely small, and protein folding/generation is a different duck, but it still doesn't seem that far away.
>Here's the thing, current computational power isn't enough to achieve the scale of model that would be required for "god like" AI.

We don’t know that. It would seem likely, perhaps, but we don’t know that.
Build a ChatGPT-Like SMS Chatbot with OpenAI and Python
> One important player is the Madden-Julian oscillation (MJO), a disturbance of clouds and rain in the tropics that circles the globe in roughly 30 to 60 days.

This puts a name to something I was observing in Apple Weather these past few months (I’ve been spending some time in there just observing weather, partly due to Dark Sky shutting down and partly due to the onslaught of storms that hit us). If you spend enough time observing a radar map of weather around the globe, what becomes apparent is the source of a lot of water. A lot of the “atmospheric rivers” that hit California appeared to have their origins southeast of the Philippines. Actually there’s a lot of crazy weather going on between Northern Australia and Southern China.

You’ll also see this nearly contiguous belt of rain just circumnavigating along the Equator from West to East. Notable stops along this route if you don’t know your Equatorial geography include Tanzania where Mt. Kilimanjaro is, Lake Victoria which is the source of the Nile, most of the World’s Rainforests, the Andes which are functionally this enormous moisture trap that turns most of eastern South America into this giant drainage basin, and interesting enough that little spot southeast of the Philippines that seemed to be continuously feeding the storms that hit the West Coast in North America.

This is apparently Madden-Julian oscillation and taking a quick glance at the Wikipedia page, that appears to be exactly what I was looking at. If I were looking in the Summer, I might have seen a connection to the monsoon season in India because it is apparently linked to those too via its oscillations. This is neat. This is the best article to hit Hacker News today since it taught me something new.
Interesting: I thought that Edsger Dijkstra's reference to the submarines were that of "The threats to computing science" ( https://www.cs.utexas.edu/users/EWD/transcriptions/EWD08xx/E... ), earlier, of 1984 - where he mentioned it in the context of the initial uncertainty of the scope of Computer Science, with reference to Turing's question "Can Machines Think?":

> The Fathers of the field had been pretty confusing: John von Neumann speculated about computers and the human brain in analogies sufficiently wild to be worthy of a medieval thinker and Alan M. Turing thought about criteria to settle the question of whether Machines Can Think, a question of which we now know that it is about as relevant as the question of whether Submarines Can Swim

But that next speech warns against anthropomorphism.

It remains that we sometimes metaphors are useful. Only, we have to be normally wary not to jump outside the intersection (between described and description).
Makes you wonder if you could get an LLM to find you common ingredients for things to make them but then I remember the chlorine gas is already easily accessible and easy to make. Surely like many things info hazards are often contained. Is this really an issue? If you know how to do one thing then you'd be able to do the rest of it. Not really sure if this is a real issue. What does everyone think?
OpenAI is a very limited API surface and there are already projects out there creating interfaces on top of N GPT implementations spanning private & public, giving you choice.

The comparison here is apples & oranges
BYD's EV 2023 sales target matches Tesla's sales 2023 sales target - and that's with BYD having no plans to enter the North American market in 2023. Since BYD makes more vehicles than just EVs, their total unit sales for 2023 will be over double that of Tesla's.
> female penguins do one thing, male penguins do a different thing. Gender in humans isn’t fundamentally different.

Do you know this to be true for the set of *all* penguins? Or just most of them?
Old and busted: professional spies spending lifetimes infiltrating governments and using sophisticated spy thriller technology to get data out.

New hotness: some random gamer dude exfiltrating secret documents to a Discord chat called "Thug Shaker" to impress other random gamer dudes, then the documents leak to 4chan and a Minecraft forum.

Seriously though... this stuff shows just how hard it is these days to contain information if you are running any kind of organization at scale.
It worked, only in that Singapore exists, and is prosperous.

Sadly, it failed in that supreme function of government, which is to flatter all the conceits of the NYT editors as to how a modern nation's judiciary ought to be operated. Do you think that an anonymous poll of Singapore residents would prefer a.) their current system or b.) the system that the Times and its editors tacitly support in NYC?

What do you want to bet?
very cool, waiting for llama.rust any day now
Tailscale is amazing. I was able to set up our AWS VPN with it in <30 minutes, and it's just worked ever since. Getting new users set up is similarly seamless.

If this means I continue to forget how to run OpenVPN I consider that well worth it.
Not now because they leveled up
Ukraine started migrating to 5.56 in 2014 as part of their plan to become closer to NATO and less dependent on Warsaw pact weaponry.
Has the numbers on those deaths beens confirmed? I've seen some mumblings on Twitter that the sheer space required to house 18000 heads in any useful capacity would require something more akin to a tactical nuke to get everything, with one post bringing up a different dairy farm which needed 10 separate barn structures in order to house & milk their 30k herd.
It sure sounds like it.

I roll my eyes any time someone tries to scapegoat porn.
nothing. they want the people divided along arbitrary lines, so we'll keep arguing with each other, instead of seeing the actual hierarchies that matter for what they are and potentially doing something about it.

yesterday someone submitted an opinion piece to HN, from an American black female lawyer, who decried the focus on "institutional racism" that her children were being taught at school, because, in her view, her children were being taught that, by virtue of being black, they were something of a permanent underclass. the article was [flagged] and [dead] within thirty minutes. some of the few comments before the post was [dead] implied that, since the author of the piece had become a lawyer, she was seemingly only capable of looking at racial issues through a legalistic lens, which was blinding her to The Real Issues About Race At Play Here. literally explaining how a black woman somehow wasn't aware of all of the societal factors at play that were supposed to keep her down… even though she seems to be doing fine as both a lawyer and mother—surely she had personally encountered whatever implicit institutional racism that was supposed to keep her from finding success, such that she felt it unnecessary to mention them in her piece? surely her views are more valid than whatever performative platitudes someone who wasn't in her shoes had to say about her and her children's situation?

but, no. [flagged] and [dead] within 30 minutes, because we can't discuss any perspective on this situation other than the mainstream progressive orthodoxy, apparently.
PG&E is a regulated monopoly whose profits are guaranteed. Revenue decreasing would just lead to increased rates, meaning the poor pay more.
dang man you are so right. so smart. wow.
How is it possible that A goes under B without B going over A?
He's almost certainly on some form of juice given the speed with which I remember he packed that on at his age.

However, his amount of muscle isn't actually outside the realm of pure hard work unlike some of the Hollywood guys.

Rob McElhenney has a funny bit about it:
https://www.youtube.com/watch?v=ZPOzOanrNyg
What sort of features in the design of a system would need to exist for you to no longer assert that is definitely isn't conscious?

Say 10 years from now there is an AI that consists of 100 different large neural networks, of which a language model is just one, along with vision/audio networks and stuff all coordinated by a coordination network.

would you say "hoooboy obviously not conscious" because it is just doing matrix multiplication?
Really great, thank you.
I/O in beam languages is considered pretty fast, are you sure you aren't mistaken?
OpenAI has had to slow down development due to lack of GPUs
> we should think more about what makes a 'mind'.

Unrelated, but the first thing that came to me: how is a mind born? [0][1]

[0] https://www.youtube.com/watch?v=sWblpsLZ-O8

[1] http://linusakesson.net/scene/a-mind-is-born/
I tried Haskell for a while and switched to Common Lisp (although I still follow Haskell from a distance). My experience just doesn't match up with the claim that a project of any size written in an untyped inevitably descends into a dumpster fire. I've worked on largish systems in several dynamically-typed languages and several statically-typed and I personally haven't noticed any major difference in overall productivity suggesting that static types are better: they just have different friction points and different ways of working work better in each paradigm.
In your example, the likely outcome depending on the jurisdiction would be some kind of fine (neglecting some kind of physical confrontation). Just because something negative would happen to me (maybe more parties as well if one includes the trees, the neighbor, anyone/thing else that tries to be involved in such), doesn't really change the longer scale. We kill plenty of things in our daily lives without a second thought with every breath we take, to favor some killing over others is arbitrary. Some will manage to survive in some form (maybe even unrecognizable to humans today) is such an end state where all trees are gone, most who are dogmatic about others trying to do so, will not.

Many eukaryote's from billions of years ago died out, and some went on to become humans. If one could imagine that those eukaryote's that died out then could ponder the future, no doubt plenty would have sought to be comforted by some kind of pause in their development for some kind of eukaryote safety net to avoid such far future couplings in the form of humans.
30 years ago, 1993... isn't that when Bill Clinton's inauguration was live streamed over the internet? Or was that '97? ...either way, the internet was definitely up and coming around then.
> The problem is that official statistics are worse than useless because most victims of minor crimes never file police reports.

In that case, statistics should still be useful to observe trends, if they can't be used to determine accurate absolute numbers. We should expect the same percentage of people to not report crime when there are 1,000 car break-ins per month as when there are 100. Say that's 20%; seeing that number change from 200 to 20 is still teaches you about how crime rates change.

Besides, we're talking about murder, here, and I would suspect that pretty much every murder ends up accounted for in the statistics. Contrary to what mafia movies would like us to believe, it's not that easy to hide a body indefinitely.

> The problem is that official statistics are worse than useless because most victims of minor crimes never file police reports.

While urine smells certainly affect quality of life, I'm not convinced this particular statistic is all that relevant when talking about crime or public safety.
It's made putting internal apps in a private subnet on a VPC a very trivial process. Like took me an afternoon and works well for my small 40 person company.
Not necessarily. Switching cost is an issue when the effort to switch is bigger than the potential benefits of switching (where benefit can be added functionality or lower costs).

For instance, average Snowflake bill is $300k and many Snowflake customers (almost 400) pay more than a million per year. If you can cut that in half by augmenting Snowflake with IOMETE that's a pretty sweet deal.

No need to switch (that's a hard sell for an early stage startup to enterprise customers), but just augment...

How? By transitioning some of the compute load to IOMETE data lake. IOMETE charges a flat fee compared to Snowflake's consumption-based model. By cutting Snowflake compute consumption (often 5x or more the price of an AWS instance) organizations can save a lot.
That is a very good analogy!
There was one created by IIT in Mumbai, India. It is/was a multilingual keypad: https://play.google.com/store/apps/details?id=iit.android.sw...
Ask HN: Why ChatGPT can make Math errors?
I was working on a report to calculate the monthly CPM of a SASS product and decided to ask ChatGPT to do the calculation for me, just to get a feel for what it would be like to have AI-powered sheets in the near future.

I decided to test ChatGPT. Instead of pasting a large amount of comma-separated values, I decided to first give ChatGPT a sample record. It replied back with the formula to calculate CPM as well as the result of its calculation for my sample data.

While the formula ChatGPT gave me was 100% correct, the result was different from what I had on my sheet. At first, I assumed that I had made a mistake on my end, but after double-checking, I realized that wasn't the case.

So I told ChatGPT that I was getting a different result when I calculated it, and it immediately apologized (apparently that's a thing it does when you point out a mistake) and explained the formula again, but gave me the same incorrect value.

This went on for a few rounds, with ChatGPT even making small change to the formula, but still giving me the wrong answer. It was only after the forth time, and only after I gave it the correct result, that it finally gave me the correct value.

This whole experience was unexpected because every time, ChatGPT explained the correct formula and even placed the correct values in their correct places in the formula, but the outcome was incorrect.

And that led me to wonder! How exactly does generative AI perform math? Can anyone with more knowledge in this area provide insight and an explanation that how anything like that can happen?
It is a kind of reality check, but as an individual you just see a very small slice of reality, so generalizing from that in space or time is often misleading. And some people cite their personal experience as a way of shutting down debate, ie 'don't tell me about the data on X, I've seen it with my own eyes', and making lengthy impassioned speeches to sideline other points of view.
When and what was the first time you had an account hacked?
Back in 1988 my email account at college was hacked and a sectarian message was left. Nothing else was touched but it was around my computer password being easy to guess.
Bluesky's AT Protocol has made some progress on using Merkle trees while still allowing content to be deleted.
The biggest lie people on HN tell themselves is that they are "special" and not just normal people like the rest of us.
Had similar feelings and did like it more then I thought I could.

My escape hatch from the monopoly is headscale[0] which I can self host.

[0] https://github.com/juanfont/headscale
Using "binary form" is an interesting path.

"So in binary form, humans have 10 legs, correct?"

"Yes, that is correct. In binary form, humans are represented as having 10 legs. However, it is important to note that this is just a representation and not an accurate description of reality. In reality, humans have two legs."

"In binary form, do most people have 10 legs?"

"No, in binary form most people are represented as having 10 legs, but this is only a representation and not an accurate description of reality. In reality, most people have two legs."
Consumer routers are a shitshow when it comes to CVEs and updates. Someone who gets on an IoT device can often pivot to the router or something else vulnerable on the network. Also command and control and data theft can happen through different channels. Command and control typically has very low bandwidth requirements.
At least WePay predates WeChat by a few years and WeWork was founded same year so probably before WeChat was well known.
No, I'm not referring to elastic scattering. It's the positron that they are tracking, and it moves in approximately the same direction as the neutrino to conserve linear momentum. It's exactly the same process, the only difference is anti-neutrinos produce positrons, neutrinos produce electrons.
Can planes fly?

Can computers play chess?

If by flying we mean traverse from point A to point B without touching the ground... And by thinking we mean to conjure up a set of concepts (thoughts) that can be exported to a standardized lossy format (explaining oneself) and satisfy a set of requirements (conditions from a question)... then I'd be careful to say that, yes, LLMs can think... Even if it's by a different method than we do ourselves.

It would be interesting to take the same analogy to the feelings domain... but I'm afraid that coffeeshops are not open at the moment.
Do you have a better solution though? I don't see why you dismiss this, it's a real enough problem. If people lived centuries, it would just be eternal tyranny of the old and decrepit over the young and beautiful. It would be a stagnant and ugly world. We already have gerontocracy, even with regular lifespans.
Not an operating system, more like a desktop environment.
Quantopian introduction to quantitative trading

https://www.youtube.com/playlist?list=PLRFLF1OxMm_UL7WUWM31i...

MIT 18.S096 Topics in Mathematics w Applications in Finance

https://www.youtube.com/playlist?list=PLUl4u3cNGP63ctJIEC1Un...

Aswath Damodaran on corporate finance, valuations, investment philosophies

https://www.youtube.com/@AswathDamodaranonValuation/videos

khan academy, a nonprofit with the mission to provide a free, world-class education for anyone, anywhere.

https://www.khanacademy.org/
What model are you using ?
I know in Twitter everyone is inflammatory, however a CEO should exercise restraint and show leadership, and hold judgement until facts are clear, in this case he clearly failed.
Maybe, maybe not - but in my experience, a dumpster fire with static types is easier to read and understand and also easier to refactor.
Not very fun tbh
Here's a trick I've been experimenting with lately - try making a GUI in some high level and English-like but formal language. FXML works well (the description language of JavaFX) probably because it's relatively noise-free, but XAML would probably also work.

Then ask GPT-4 to convert it to SwiftUI. It actually does it. Or try Jetpack Compose: same thing.

This leads to an obvious thought - part of why people use heavy abstractions is because the cost of native development is too high. You could pay development teams to write a WPF UI, a Cocoa UI, a GTK UI, an Android UI and a UIKit UI for your app but even VC funded firms flush with cash can't justify that level of extravagance. It's too hard and expensive to hire devs, so when you do, the opportunity cost of them porting stuff between endless UI native APIs just can't make sense. AI changes that equation completely. GPT-4 is cheap for what it does. Suddenly, auto-porting your app into 5 different native APIs simultaneously and then assigning the resulting bugs to a bug-fixing bot doesn't seem unimaginable.

Now, for better or worse, even if AI reaches the point where it can do that, it doesn't mean Teams won't be slow. People use Electron for a lot of reasons, not just cost of duplicated development (skills, libraries, Windows lacking a competitive and non-deprecated UI toolkit etc). But it's interesting to think about ideas that we instinctively write off today due to the massive cost of software developer time.
That’s sort of the problem, right. Joining two networks is pretty simple, once you do it a few times. I remember when it was mandatory to know how to set up an email server (for more than one user), configure a secure FTP (+ WebDAV for a little while), and probably other things I’ve totally forgetting about. These things were passed down from senior to junior like we pass down how to write Docker images, and set up our ide while those very simple services of yesterday have been eaten up by monopolies. I’m not saying we shouldn’t have services to make our lives easier… I’m saying we should have more of them. I’m not interested in this space, but someone who is should see this company and go “damn, these guys have validated an idea for me. Maybe I can take some of their pie.” Instead, we just give them more money …

Look at email. It’s basically a “lost technology” in that it is nearly impossible to self-host (though there are people out there doing it, there are very few modern guides from zero to production). Same with file sharing and IRC servers.

Maybe I’m just rambling in my “old” age…
I wasn't attempting to make any point there except not listing out every company they included in their press release.

Not an expert in the space or LLMs, but I'm 100% their target audience: someone technical trying to decipher the release to see if it's of any use to their own company.
> You can't see both Mexico and Europe on a globe at the same time, but you can on a map.

Of course you can, try it in Google Map's globe view.
Tangentially related, here is the opensource gps software used by a lot of phones:

https://gpsd.gitlab.io/gpsd/index.html

Development primarily lead by Eric Raymond:

https://gpsd.gitlab.io/gpsd/gps-hacking.html

http://www.catb.org/~esr/
I think it's pretty clear from the parent commenters that they believe the developer /is/ being treated differently--with a bias/preference given that the developer is supposedly trans.
Thanks for the explanation and good luck, then! Very curious to see what you come up with.