skysight-inc/HackerNews huggingface dataset:
Ahh but replacing old growth forest with burnt out scrub land is not what we necessarily want. Old trees dying and falling naturally creates openings in the canopy to permit new growth without resetting the forest to a grassland like a forest fire would do.

A prescribed burn should burn out annual plant growth and leaf litter not perennial plant trunks.
Thanks to everyone in this thread for all the great links and explanations!!
I have to strongly disagree with this. If someone non-technical does the requirements gathering, the requirements will be incomplete. Developers will then either assume their own requirements or, if they’re thorough and good at their job, check these assumptions with the business. Either way, this wastes the company’s time. Either the assumed requirements will require re-work or the company has paid two employees to do the same job that should’ve been done by one.
Both can be true... CSS has a lot of clever tools that feel like hacks. And I'm here for it, even though I almost never want to use most of them. We need more non-JS options in web sites. I just hate that they're so obscure and complex for relatively little gain.
Show HN: Create, customize and publish a website from prompt with Generative AI
We launched 3 weeks ago, and we've made a revenue of 3K USD so far this month. Would love some feedback from HN folks.
Wolfram Alpha ChatGPT Plugin Prompt
1st Lt. Milo Minderbinder:
Yossarian, I want you to do something for me. [removes item from small bag] I want to serve this to the men. Taste it and let me know what you think.

[Yossarian takes a bite]

Yossarian:
What is it?

1st Lt. Milo Minderbinder:
Chocolate-covered cotton.

Yossarian:
What are you, crazy?

1st Lt. Milo Minderbinder:
No good, huh?

Yossarian:
For Christ's sake, you didn't even take the seeds out!

1st Lt. Milo Minderbinder:
Is it really that bad?

Yossarian:
It's cotton!

1st Lt. Milo Minderbinder:
They've got to learn to like it!

Yossarian:
Why?

1st Lt. Milo Minderbinder:
Look, I saw this great opportunity to corner the market in Egyptian cotton. How was I supposed to know there was going to be a glut? I've got a hundred warehouses stacked with the stuff all over the European theater. I can't get rid of a penny's worth. People eat cotton candy, don't they? Well this stuff is better - it's made out of real cotton.

Yossarian:
Milo, people can't eat cotton!

1st Lt. Milo Minderbinder:
They've got to - it's for the Syndicate!

Yossarian:
It will make them sick! - why don't you try it yourself if you don't believe me?

1st Lt. Milo Minderbinder:
I did - and it made me sick.
> crypto

Please stop using this prefix by itself.
>but having the government require people to collect evidence against themselves is a hard no from me.

Not an expert on US constitution, but Isn't that a violation?
> Complex software will require human coding. But most programmers are in denial about how complex the code they’re writing actually is.

I think it's just a matter of time till all software becomes complex, e.g a codebase worked on by a few dozens people for 10 years will have a non trivial level of complexity. Not disagreeing or anything, the machines might be able to do this well, we'll see. It will have to improve by a lot, like almost no hallucinations.
But there could be many shades in between. Instead of completely replacing developers in 5 years which I personally find unlikely, it can replace 50% of them.
Obviously context is missing here given this is clickbait but vast majority of Tesla workers are factory workers who can’t work from home. He’s arguing it’s unfair to them to let everyone else do it. I actually disagree since theres nothing fair about the pay discrepancy or anything else but it’s less ridiculous than they’re trying to make it sound
Or threaten a 13 year old girl who happens to beat you in round 1 of FNM with her black deck. It’s all fun and games until someone flips a table or punches a child or says some really awful things that make said 13 year old give all her magic cards away.

If real law enforcement (or Pinkertons) showed any sense of legitimacy, the typical MtG player would bow to the authority. Whether it’s in the rule book or “unspoken rules by the venue”.

edit this occurred to my daughter in 2012 at FNM.
My single tip is: look for Product companies, not Service/Project companies.

This means looking for companies who build and maintain a product, SaaS or not, which they offer to customers, and avoid all sorts of consulting, offshoring, nearshoring, whatevershoring third-parties.

Project/Service companies draw little value from engineer familiarity with the systems they work on. Contracts and projects come and go, and everyone needs to learn new systems, processes, and technologies all the time. Experienced people end up as Project managers because that's the only path to career growth.

Product companies, on the other hand, suffer a lot from engineering turn-over, since they have this one complex system they need to babysit forever, and ever time someone leaves, the accumulated knowledge built on that person leaves with them (likely to a competitor who really benefits from that knowledge as well).
Totally agreed. I was 100% in the pro-controlled-burn camp until I happened to stumble upon the consequences of rubber hitting the road.

A few months back I was visiting family in New Mexico and chatting with some locals. I asked offhandedly about if they did controlled burns out where we were… and boy did I immediately realize it was a sore subject. Last year, the US Forest Service set off the biggest wildfires in the state’s history doing controlled burns, by irresponsibly starting them in the windy season and not monitoring appropriately.

“Only” a hundred or so homes were destroyed, but imagine if the federal government were to burn down your home, livestock, and property only to abdicate any responsibility and fail to have any modicum of transparency or accountability. The nominal monetary damages do not nearly capture the social harm caused by the incident, and there’s been little trace of accountability when it comes to the policy makers who approved the burn, living thousands of miles away and suffering none of the impact.

https://www.cbsnews.com/news/new-mexico-wildfire-prescribed-...

https://www.fs.usda.gov/news/releases/statement-chief-randy-...
I wonder how much of the wildfires are caused by lack of wildlife. The city I grew up in used livestock to manage brush every year. There were herds of goats and sheep that would go through in the spring and summer to make sure that brush growth was trimmed to the roots.

I wonder if we stopped killing wildlife wholesale if we would see reductions in this overgrowth. Although I wonder if any native species would be able to handle the insane numbers of Russian Thistle/Tumbleweeds.
Alexa build me a Google (or is it the other way around?)

As more people use automated programmaking, most of the code will be low level spaghetti in procedural languages, because it is easier for the model to reason with it (without needing huge buffers to know about abstractions). We will see a lot of generated Javascript, PHP, even a return of Win32. Who cares if they are tedious for humans to read and fix, now the AI can do all kinds of advanced search/replace in the code. And maybe at some point they 'll be generating machine code directly
Core i7-1370P performance debut: Framework Laptop 13.5 13th Gen Intel review
I'm a little annoyed we're 40 years behind on fusion, because a vocal group spent 40 years crying about fission. Chernobyl was a disaster, that was made possible by the Soviet gov, it was far more a knock on communism than it was nuclear energy. And yet... Here we are with Harvard grads arguing for the former and against the latter.
Had exactly the same experience. Primary school was OK. High school was bad. University was murder. Office work was a dream.
He's been a popular tech writer for a couple of decades. He's written some very influential pieces in the past - here's a copy of one of his most famous (I don't think the original is available any more): https://gist.github.com/chitchcock/1281611
I had to screenshot this. My gosh what a surreal world.
It is also possible for talented people to set up their own businesses, even though we all have spent our entire childhood having it drilled into our heads that our purpose is to serve for somebody else.
You can just use Polars[0] instead of Pandas and easily beat both Pandas and DataFrames.jl

Pure Julia is faster than pure python, but there are non-pure python tools available in the python ecosystem for a ton of things.

[0] -- https://www.pola.rs/
This is awesome and in the ballpark of something I'm working on right now.

I currently have a list of developer handles, their associated aliases, and their associated email addresses - trying to map that set to employment history.

Do folks know of any good data sets for this?
These obviously wrong answers are fun to talk about, but think about all the cases where the misinformation isn't as blatant and millions of people are accepting it without question. And that's going to be 100x worse as LLMs are more widely used for getting information.
Let's see how long this website survives when OpenAI comes for the domain.
I don't have any work email. Can anyone please share some other source to download?
Yep. If the benefits are socialized it's a good idea to social the costs as well.
Hint: VS Code Jupyter even allows connecting to remote kernels, so you can access some remote GPU from within the editor.

I think Colab doesn't support this, but Paperspace Gradient for example does.

https://docs.paperspace.com/gradient/notebooks/notebooks-rem...
Has Microsoft said it is fake?
You are entering Buddhism and philosophy territory with this take. At one point after the depression, you should arrive at "why should I feel bad that there's no purpose when I am a master of—and one with—the universe and can create and/or observe any meaning that I want?"

Don't stop at nihilism, take the next step towards absurdism!
"We didn't mean THAT when we said disruption."

Adapt or die, economy. And get used to it, the disruption has hardly gotten started.
Yep, in Ethics this is known as the Act / Omission distinction. (Even if they result in the same consequences, you’re ethically responsible for your acts, and rarely to the same extent your omissions.)

It’s common to the main deontological ethical frameworks including the Judeo-Christian models that underpin “western values.

The “solution” is to take a Consequentialist approach, though most people fail the trolley problem and find consequentialism repugnant, so I don’t think we will solve this problem any time soon.

(Most people are familiar with Mills’ hedonic utilitarianism, but it’s quite simplistic; I’m a big fan of Eudaimonia as your value function, and richer systems like two-level utilitarianism as a way of getting round the “calculate everything all the time” problem with some utilitarian systems.)
Congrats team! Love that y’all are creating Jira Tickets directly from the cost saving hub, that’s super useful
Reading the actual article, it seems like the problem isn't regulation, it is complaints from locals.
https://en.wikipedia.org/wiki/Carfentanil wasn't banned in China until 2017.

I think the origin of what's now being blamed on "fentanyl" is the real risk that even the smallest inhalation of improperly stored synthetic opioids (things that are 100x+ strong than fentanyl) could cause injury or death.

Also (depending on who you believe), this class of drugs has been deployed as an aerosol: https://en.wikipedia.org/wiki/Moscow_hostage_crisis_chemical...

Because these synthetics were legal (?) to import for a long time, field agents probably do have a real risk of encountering them stored improperly, even if NPR couldn't find a case about it. Probably it wouldn't have shown up under "fentanyl" if that's all they searched, but it's the same crisis.

I even recall one HN poster telling their story about designing a synthetic opioid and paying a lab overseas to make it.

Obviously cops doing bad things important to report on, but it's a shame NPR doesn't give the context about the chemicals, since the chemicals are the cause of the crisis.
98SE for gaming was perfect. 2000 was "ok" when you had to eventually switch. Everything after that was pretty terrible.
That's because you've worked at companies that want to protect this part of their reputation or liability.

Most companies aren't massive and don't have these types of reputational or liability concerns.
Not really bad. It’s less than an hour per year. Most users would not notice.
Does Replit give free access to GPUs for any use case? The documentation[0] has screenshots that imply that GPUs cost "cycles", which are a virtual currency you buy with real money[1].

[0] https://docs.replit.com/power-ups/gpus

[1] https://docs.replit.com/cycles/about-cycles
I would love to hook this up to a LoRa receiver and use it around town, will be fun to hack on.
GPT-4 seems to take "explain like I'm five" quite seriously.
The only controlled burn is one that happens regularly. You cannot start with a controlled burn after years of suppression as there is too much fuel. You have to "rip the band-aid off". That is evacuate the whole state, and then start the whole state on fire at once. If you want your house to survive, then you use the warning to clear all the trees/bush around your house so it isn't close to the fire (this is easy to say, impossible to pull off).
Yes, I am lucky in many ways. But the US home ownership rate is 65%, so it's hardly a lottery. Many young couples are buying homes in lower cost states like Utah, Minnesota, and Ohio. HN users focusing on California often have a distorted perspective on the situation out in the real world.
By law, unsolicited merchandise received via mail is yours to keep. I wonder how this will play out in court, if the YouTuber chooses to go that route. I don't see any reason why WOTC wouldn't lose, and lose badly?

https://about.usps.com/publications/pub300a/pub300a_v04_revi...
I find it more sad that something being good necessitates sequels
> "soon introduce"

This looks like an announcement of an announcement, which isn't on topic for HN. https://hn.algolia.com/?dateRange=all&page=0&prefix=true&sor...

On HN, there's no harm in waiting for the actual thing: https://hn.algolia.com/?dateRange=all&page=0&prefix=false&so...
FYI -

Sapotas are from Mexico (Yucatan)

Custard apples are from the West Indies

Guavas are from Mexico (and are often grown in backyards even here in California)
Now we know AIs aren't immune to Godwin's Law.
That's true, I haven't played the really demanding AAA titles on it yet. Mostly emulation, Lego Star Wars and indie games.
When I worked at mega corps, I'd see a "new" tech emerged that was always very similar to a software that our company had developed to solve similar issues. I remember terraform getting released and seeing that it was just an inferior version of the Cloud Formation Template generator someone at my company had invented years prior.

I've seen this happen so many times and every time, I'm surprised that more businesses don't spin off cool internal projects like this into startups. Hashicorp's market cap is roughly 10% of the market cap of the megacorp I used to work for. And right now, my team is working on an internal project to fill the gaps left by various authentication providers we use. But instead of spinning this off into it's own business, they are just kind of waiting around for someone else to develop a better product so they can buy it instead.

It was explained to me that investors generally don't like spinning off internal projects because it can be a distraction, but it does feel like investors are leaving a billion+ dollars on the table. Especially given the absurd P/E multiples software startups enjoy.

To circle this comment back, I think a lot of staff engineers are working on the next generation of cool technology right now. But they might be working at boring old companies, like a massive retailer, and eventually that internal project will get replaced by one built by the engineer who decides to venture on their own and replicate what they were building as a stand-alone product.
It will be a technical person, and they will be payed $65k a year to do it.
I'll throw my hat in the ring.

A transformer is a type of neural network that, like many networks before, is composed of two parts: the "encoder" that receives a text and builds an internal representation of what the text "means"[1], and the "decoder" that uses the internal representation built by the encoder to generate an output text. Let's say you want to translate the sentence "The train is arriving" to Spanish.

Both the encoder and decoder are built like Lego, with identical layers stacked on top of each other. The lowest lever of the encoder looks at the input text and identifies the role of individual words and how they interact with each other. This is passed to the layer above, which does the same but at a higher level. In our example it would be as if the first layer identified that "train" and "arrive" are important, then the second one identifies that "the train" and "is arriving" are core concepts, the third one links both concepts together, and so on.

All of these internal representations are then passed to the decoder (all of them, not just the last ones) which uses them to generate a single word, in this case "El". This word is then fed back to the decoder, that now needs to generate an appropriate continuation for "El", which in this case would be "tren". You repeat this procedure over and over until the transformer says "I'm done", hopefully having generated "El tren está llegando" in the process.

The attention mechanism already existed before transformers, typically coupled with an RNN. The key concept of the transformer was building an architecture that removed the RNN completely. The negative side is that it is a computationally inefficient architecture as there are plenty of n^2 operations on the length of the input [2]. Luckily for us, a bunch of companies started releasing for free giant models trained on lots of data, researchers learned how to "fine tune" them to specific tasks using way less data than what it would have taken to train from scratch, and transformers exploded in popularity.

[1] I use "mean" in quotes here because the transformer can only learn from word co-occurrences. It knows that "grass" and "green" go well together, but it doesn't have the data to properly say why. The paper "Climbing towards NLU" is a nice read if you care about the topic, but be aware that some people disagree with this point of view.

[2] The transformer is less efficient that an LSTM in the total number of operations but, simultaneously, it is easier to parallelize. If you are Google this is the kind of problem you can easily solve by throwing a data center or two at the problem.
Best of luck with the launch of Cloudthread's Cost Savings Hub! It sounds like a fantastic tool for optimizing cloud infrastructure and eliminating waste.

-Simar
Guaranteed Quality and Structure in LLM Outputs: Shreya Rajpal of Guardrails AI
A NL company can let someone go without notice during a trial period, gross negligence, or when the employee resigns due to breach of contract on the employers part.

By default, the notice period depends on the length of the contract (statutory minimum is 1 month notice, longest is 6 months). But it does allow companies to establish their own notice periods (or no notice period) as long as both parties agree.
As a KDE user i agree with this point of view. KDE is the most customizabile DE ever created. You can tweak the crap out of it to make it look and behave EXACTLY the way you want it. And, from my experience, the performance of the current 5.x version (running on Wayland) is very good.
"paid huge money to literally write if/else"

"most programmers are in denial about how complex the code they’re writing actually is"

I can taste the salt
Why You Can’t Hear TV Dialogue
Sure, but I have known for several decades that I shouldn't. That slogan was already being questioned when Regan was president.
I’m not saying it does, but agencies have typically hired a certain type of physique and mentality that comes from military service.
(2019) please: https://web.archive.org/web/20191010064755/http://ski.ihoc.n...
The interesting thing about controlled burns is that by doing them, you end up with fewer possible burn sites. So such an approach would get easier over time.
No local inference support as of yet at least.

Here are a few things we’d be excited to support…

Local inference through WebGPU
Local inference through stable-diffusion-webui
Desktop installation
ControlNet tools
Tell us what you want to see!
The requirements are in the plain english doc
Thanks! Macroexpanded:

Reverse engineering Skifree - https://news.ycombinator.com/item?id=31718756 - June 2022 (103 comments)

The Most Officialest SkiFree Home Page (2010) - https://news.ycombinator.com/item?id=15112518 - Aug 2017 (41 comments)

The Most Officialest SkiFree Home Page - https://news.ycombinator.com/item?id=8682162 - Dec 2014 (11 comments)

SkiFree in the Browser - https://news.ycombinator.com/item?id=5247965 - Feb 2013 (61 comments)
I have another specific example of this to offer: Active vs. passive flood control. One passive control mechanism is the retention basin. This is just a pond connected to a water system. When it rains and the water begins to rise, some water flows into the pond instead of flowing downstream, reducing the effect of the storm.

You can improve the retention basin by adding a pump to actively manage the basin's capacity. When there is rain in the forecast, you pump water out of the basin, reducing its water level. When the rain arrives, you turn off the pump and let the basin refill. This increases the amount of water that the basin is able to divert during the storm.

I worked with a company that designed such a system and we even installed a demonstration unit for a municipality. It worked as intended and the city engineer advocated for expanding the project to all suitable basins. However, when the municipality's lawyers looked at the project, they argued that if the system failed to activate prior to a storm, the city might be liable any flooding that occurred afterward. Of course, the scenario where the system failed to function was identical to one in which it had never been built in the first place*, but that was not a convincing argument and the project was killed.

* I like escalators because an escalator can never break, it can only become stairs. - Mitch Hedberg
We went through this in the ad world before GDPR existed. Companies were selling datasets for advertising and, I remember one of my clients (one of the largest ad agencies in the world) telling me they had over 100 sources of data they augmented their publisher data with but they tested and saw there was only about 20% uniqueness on average between sources.

They were buying the same data again and again, recycled and repackaged.
That's an unfair characterization. You are low-balling the creativity, discipline and bureaucracy management ability these individuals bring to the table. The right circumstances are only part of the acquisition. Aptidude and attitude are the other parts.
Economic engineering to save an economy we want seems good.

Economic engineering to save an economy aligned against our interests doesn't as much.

And you can apply some of that engineering toward easing the transition to a more aligned economy.
We’re gonna need a bigger moat
At this point I am starting to believe that she’ll get away. Millions of dollars is all it takes to abuse the US judicial system.
This is Peak GPTs . These tools are great, but not for this thing. An approximation engine will approximate Radiohead as well. Time to go back to the drawing board to make something better than gpt
Well I know where I'm visiting soon! I used to see movies in that complex when I lived in Roswell. I'm still relatively close. Thanks for this information, had no idea!