skysight-inc/HackerNews huggingface dataset:
If you're looking for an alternative to the (very problematic) carbon offset (CO), check out Renewable Energy Credits (RECs). COs are designed to incentives reducing CO2 in the atmosphere, but verification and traceability problems make it hard for them to achieve that goal. RECs are designed to incentivize the construction of renewable energy based power plants. They're easier to monitor because verification is handled by grid operators checking the number on the meter.

We (Jasmine (YC-S22)) (https://www.jasmine.energy/) are building a RECs exchange. Governments handle REC verification. We handle liquidity, efficiency, and traceability.
It's a cliche at this point - "It is difficult to get a man to understand something when his salary depends on his not understanding it." I would say compared to Bezos (or any oligarch with penis rocket money) we're all peers in the sense that we work for a living, but I doubt most Amazon devs would say that about the soldiers working the warehouses or driving the trucks.
And those taxes are extremely unpopular! And for a carbon tax to work the tax would need to be punitive.
How is this an advantage? Phone numbers are the worst identifiers, I don't want things tied to my number. Even if I can move my number to another carrier I want less in my life tied to 10 digit number that I don't really "own".

Also you can't take your messages with you unless you have them saved on your phone. SMS (and RCS as I understand it) don't account for storing/syncing your messages.
The Design Flaws of Password Managers - https://www.go350.com/posts/the-design-flaws-of-password-man...
Sure, it's tricky to get it right, and we've already discovered a lot of ways to get it wrong. I still think it's a worthy goal.

Directing resources to those already best-placed to use them is tempting, but taking it to its logical conclusion only perpetuates "the rich get richer and the poor get poorer." That, by itself, is a recipe for collapse over the long-term.

Again, without even touching on the moral aspects.
I'd be surprised if this didn't actually happen.
I worked at HD Supply hardware for a bit - it’s a commercial oriented hardware store where prices aren’t even posted on the items. PPE is really expensive but companies just buy it anyway - because it’s in the budget. A “conventional” fiberglass/carbon fiber hard hat is already like $150. Cheaper than a claim I’m sure.

My only thing is I personally think eye and ear protection may be more “high impact” PPE to focus on. Surely hard hats are important but it’s less of a low hanging fruit than eye/ear - ymmv

Edit: also steel shank shoes/boots to prevent penetration from a nail
dang has said that HN doesn't outright ban TV news sites like CNN, despite being against the guidelines[0], because they do occasionally surface interesting stories.

But every example of that I've seen has essentially been blogspam that is better covered by primary sources instead. I really wish he'd reconsider.

[0] "If they'd cover it on TV news, it's probably off-topic." https://news.ycombinator.com/newsguidelines.html
Instead you slowed yourself to a crawl.

(Which is not to say anything good about Java. The key to Java was elucidated by Mark Dominus: "I enjoyed programming in Java, and being relieved of the responsibility for producing a quality product.")
There is a legitimate use case for dry nitrogen in tires, it just doesn't apply to the average person's situation.

When the interior of the tire can become very hot, such as due to compressive loading in heavy construction equipment, there is a risk of accelerated oxidation and weakening of the tire material. In more extreme cases, the oxygen can react with atomized tire bits inside the tire causing an explosion via the same mechanism by which a Diesel engine works. It is exceedingly unlikely that the tires on a normal road car will ever become hot enough for this to matter.
Unfortunately, consumption taxes are always regressive, and a carbon tax would be no different. Even if you happened to receive more from a carbon dividend than you would pay in carbon taxes, you would "pay" for it by having to sacrifice goods and services that you otherwise would have consumed. I do support a carbon tax, but I think it's important to be realistic about its effects if we want it to be politically sustainable.
I wonder if this has something to do with political activism. It's possible that the security team was either (A) trying to sabotage Patreon's efforts to ban content they've determined is untenable or (B) trying to usurp top-down control and take banning into their own hands. God knows "both sides" of the political spectrum see themselves as saving humanity, and would jump at the opportunity to work in a position of technical power within a company like Patreon, where far-right and far-left content is often hosted.
Except that the word "sale" literally means that you can buy something.
In my opinion this isn't the best lens to view ethanol through. If you start from the position that the government manipulating the food market to ensure a near-constant over-supply is beneficial for long-term food security, then the ability to funnel excess production back to a useful energy source at a rate even close to 1:1 is fine.
Little late, but for the record, your first issue reeks of a Samsung-specific bug. My Pixel 2 running LineageOS stretches the same in the [phone] settings app as it does in the [Firefox] settings page. Samsung has always had weird quirks in the way their skinned Android runs, and AFAICT, were the absolute worst for causing app developer headaches in the earlier Android days. I would be shocked if they've gotten dramatically better since.
I'm not sure what we're arguing about here. I dont live in CA, I said I was jealous of Prop 13. I think there are benefits to capping property tax rises. Only a quarter of households rent and I support any measure to help everyone buy.
You could test that hypothesis by publishing some long hash on several hundred pages, then search for it.
The Rights of Man (1791) [pdf]
Ah, but they hold those views for a reason!

It's likely that they've seen deep learning used to solve problems in the past that are more suitable to a simple regression. They may not have seen it used to solve problems where regressions failed.

In your place, I'd dive into why they feel the way they do. Maybe they're right! More likely, maybe you're using deep learning for jobs it isn't best suited.
This.

The overview of the 48 megapixel camera on the iPhone 14 talked chipperly about the fact that the user-land resolution is already decimated (well, quadrimated?) 4 to 1 to 12mp images, with the subtext "but those are highly determined optimized pixels!"
Funny thing is the two should be built with vanilla js and canvas. No popular framework is going to do better.
Computer simulations seem to have this blinding effect that makes it difficult to consider uncertainty and other assumptions.

I suspect its our trust and reliance on digital computing, and the amount of cultural messaging.
Work for a small consultancy. Our project's manager at our customer fought with others so they don't force him to get Accenture. Their argument was "when the project fails and we have taken Accenture, then it is not our fault". The project would most probably fail with Accenture..

Currently the customer is very happy with our development speed and unhappy with their Accenture project's speed
One part (the stabilizer trim jackscrew) I designed at Boeing had a tolerance expressed as 4 digits after the decimal point. This was bounced back at me, suggesting I round it to a tighter tolerance with fewer digits.

I replied that I had calculated the max and min values based on the rest of the assembly. When a part is delivered, if it is out of tolerance it gets bounced to the engineers to see if it can be salvaged. As the jackscrew was an extremely expensive part, I reasoned that giving it the max possible tolerance meant cost savings on parts that wouldn't have to get diverted to engineering for evaluation.

The drawings got approved :-)
In theory, it's great. In practice perverse incentives and little to no regulation make it worthless. A John Oliver explainer:

https://www.youtube.com/watch?v=6p8zAbFKpW0
"Lensless" but actually has multiple lenses?
"As the old saying goes, SAP and its customers deserves each other."

Now what does this say, about LIDL, a discounter who dumped 500 m with SAP?

https://www.computerweekly.com/news/252446965/Lidl-dumps-500...

Basically, if your buisness process match that of SAP, everything is fine, if not, good riddance.
Or in the words of a former SAP manager about Lidl:
“They don’t have the right level of business engagement”

Meaning they did not adapt to SAP enough.
According to who? It's absolutely not the consensus that every programming language needs to prioritize safety.

Rust is still very much an experiment in terms of systems programming. It has a tiny overall "market share" in terms of use in large production projects compared to C/C++ and it remains to be seen whether the particular set of tradeoffs chosen by the language will lead to long term sustainable success.

Zig takes another approach and is also a worthy experiment.
Why would the concept be at risk though?

Will the species go extinct or would communists take over?
You haven’t read it. You’ve read flame reviews and you are just piling on.

I’ve read it closely and followed the references. Calling it a “stupid, stupid book” betrays your ignorance.
Isn't this how all search engines have worked for most of the history of internet search?

I was an avid user of altavista, hotbot, yahoo, and early google. I recall that I was always able to 'page' through an absurd number of results. But I am old and have a bad memory, maybe I'm wrong
What I hear you saying is you want me to do research for you. Ok, I'll bite, I'm retired with nothing better to do.

The Guide to Accessible Web Components

https://www.erikkroes.nl/blog/accessibility/the-guide-to-acc...

Server Side Render Web Components: It's a common myth that you can't server side render Web Components.

https://dev.to/steveblue/server-side-rendering-web-component...

Using SVGs in Lightning Web Components

https://developer.salesforce.com/blogs/2020/07/using-svgs-in...

There are various work around for global namespace problems

You're welcome
> built on [...] Cloudflare Workers [...] without getting too attached to a single cloud provider

:)
> the actual result was 1000.

Wrong. I tried "the meaning of life" on Google just now. It said:

About 9,890,000,000 results (0.66 seconds)

Where is the claim that you will be able to scroll through 9,890,000,000 results?

There is plenty to complain about with Google, and the rest of this thread shows you some of it. It will be a lot more productive for you to focus on some of that.
Where's the code of ethics for the real decision makers? For executives and upper management?
Ok make him technical lead and sole developer of a new moonshot project. If you are a one product company, this is your chance to diversify.
https://flink.apache.org/news/2022/09/08/akka-license-change...
Yes I was, but that was just a part of it. The "United Kingdom" is huge. It's hard for me to imagine, for example, how Australians are still owned and controlled by that Monarchy.

In practice it's not much different here since we still have the military draft but so far we can still fire a "President" via impeachment if they go crazy on us. The UK's "subjects" do not have that power, they are truly akin to chattel.
Just technically modern deep learning systems aren't generally a simulations. They are generally approximations. They take a large amount of data and predict immediate results. A simulation can determine what the expected final state of an economic or ecological system is (but requires sufficiently accurate assumptions about the structure of the system). A neural network normally can't do this (you can approximate what the model of a system is from some data and then approximate the predicted final state if you have enough models).

The way engineered solution go would be:

A) Simulated systems using equation with exact solution or perhaps numeric approximations of the exact solution equations. This combined with principles like conservation of energy allow to talk of the long term behavior of a system. Lots of large bridges were built with pencil-and-paper math before computers.

B) Simulated systems. Things like finite element analysis of car crashes. This allows prediction but not very long term prediction of system behavior. This is the easiest and most reliable way to build a bridge.

C) Approximating systems using only data and deep learning approximations. This lets you do things that A & B can't do but these generally don't do reasonable prediction in any significant timeframe. One could imagine that Dall-E can't design a bridge you'd be confident of walking across.
Maybe this is why the abacus has and even continues to be a reliable instrument?
Uber exec accused of disguising data-breach extortion as “bug bounty”
There is no "jump" to Zig, just a rejection of the claim that all low-level languages "in 2022" must be memory safe -- not just Zig, but also Odin and JAI aren't (I think). If you need to do low level programming, the fact is that in 2022 there is no consensus over whether you should do it in a memory safe language.

If you think it's your responsibility to use only memory-safe languages, then if you had to do low-level programming, you'd have few option, and those options have their own downsides. That's just the reality of low level programming in 2022 -- it can often only be done in non-memory-safe languages. I actually do quite a bit of low-level programming, and I consider it my professional responsibility to strive to do that in a language that is explicit and simple; there are no languages, to my knowledge, that meet my requirement and are also memory-safe, so I must compromise on something because I live in the real world.
Splitting hairs, Sister Kenneth was technically the first in the US awarded a Ph.D in CS. Irving Tang's degree is a Doctor of Science, D.Sc.[1], not a Doctor of Philosophy, or Ph.D.

of interest:

> Sister Kenneth begins her dissertation, “Inductive Inference on Computer Generated Patterns,” with the declaration, “The basic problem of this thesis is the exploration of an approach to the mechanization of inductive inference.” The idea is to automatically generate the nth mathematical expression in a series, given the first k expressions. As validation, Sister Kenneth implements a FORTRAN program to determine the nth derivative of a function, given the first k derivatives. She remarks that list processing languages such as LISP would have been more convenient but were not available to her.

[1] https://en.wikipedia.org/wiki/Doctor_of_Science
I always wonder why people put C in quotes sometimes.

It's amazing how angry some people get when you ask.
I think in 2022 we can expect the most profitable Internet company to return a count of search results more accurate than 4 orders of magnitude off.
Perhaps we need something akin to:

https://en.wikipedia.org/wiki/Hippocratic_Oath
A company can just stick to one version of Angular in perpetuity if it wants to. The code in some Angular X.X.X release will always be the same, and the Angular org can't magically break your code by releasing a new version of it.
It's because security, audit, and ethics teams aren't judged by how much they enable others, they're judged by how many threats they block. I work at a well-known tech company but joined when they were still very small. Our original security "team", a team of 2 engineers, were highly plugged into the product and the concerns of the then-small engineering team. This team was always willing to help and enable builders to stay security conscious.

As we grew into a large company and our security team became an entire organization at the company, the org lost all connection with the product and became a more classic blocker-based team. The org lost empathy with the product and was judged on no product metrics, so naturally the culture in the org began to just be saying "no" to engineers all the time. A few of the earlier hires still try to help, but for the most part they just block.
Archer's analysis pipeline isn't a well defined statistical test. It's a UI that browses results from the type of machine they used:

https://www.enzymatics.com/news/archer-analysis-pipeline-upd...

They filtered the results with various p-values < 0.01. Their supplementary data:

https://www.nature.com/articles/s42003-022-03777-z#Sec9

doesn't say how many samples the machine produced in the first place, but it does say the filter resulted in 35 hits. That tells us absolutely nothing about the rate of mutations in the astronauts vs the general population, or even if astronauts produce more novel mutations on average vs. the general population.

On top of that, they seem to have the data to answer these questions, but don't report it anywhere:

Do zero-mission astronauts also show a "true call" in Archer's analysis pipeline?

They ran multiple samples from the same astronauts (before and after missions). On average, does the same astronaut have more/more-novel mutations after each mission?

These would require additional experiments or data, but seem obvious to check:

Do they have unusually high or low numbers of mutations vs. the general population at the same age?

If so, grouping the general population sample, what other professions also show a "true call" according to the pipeline?
Persistent circulating SARS-CoV2 spike associated w post-acute Covid-19 sequelae
> Facebook dating team’s decision to avoid including a filter that would let users target or exclude potential love interests of a particular race

Lots of minorities actually love this feature because they can find people from their own community. If it were up to teams like this, they would remove the gender filter as well. I’m glad these crazy Twitter people were fired.
Similarly I think most would expect result to imply retrievability.
I'm always ripping on people using the title Engineer when talking about software development. Your comment is a perfect example of how I would expect an Engineer to think about their work. I love it.
Natural gas pipeline fire in water SE of New Orleans
But you need somehow oversight right? (specially for something as critical as social networks used by billions)

I'm a believer in some sort of cross-validation and quantification. The ethical impact of a technology should be quantified, and addressed if significantly negative (or promoted/incentivized if positive!) -- you can quantify number of users impacted, give various arguments, soft measures and estimates. Then, you can have other teams validate those estimates. After all said and done, you can again evaluate an intervention (on both ethical terms, and on the productivity and profitability of your company), and see if it was good or not. If a team is repeatedly giving bad advice, I think you can then address that (retraining, lay off, etc.?). Ethics is not impossible to do :)

I believe a certain generalization of this is needed for the entire society[1], to externally address good/bad technologies. A good example I cite all the time is Open source contributions. We still haven't found a good mechanism to pay OSS, despite the immense value it brings to society (openness itself has a value that direct sale couldn't capture). I'm a big believer in distributed evaluation and cross-evaluation: if we had distributed entities to evaluate impact of various ventures (for efficiency, properly categorized and subdivided into science, technology, social costs/benefits, environmental costs/benefits, etc.) we could apply the same logic to make society more adaptive, distributed, and less focused only on the single goal of profit. (I plan to elaborate this further, I think we are going to need to "patch" our current system in some sensible and careful ways to get a really good 3rd millennium!)

[1] Previously sketched this here: https://news.ycombinator.com/item?id=28833230
The problem I have with SAP, as someone who works in a service desk environment, is that it seems universally slow to migrate/replicate to user’s devices once they’ve had it allocated. I don’t know why this is, but it’s a pattern I’ve noticed.
Haha, yeah. This rant reminded me of people who don’t need any new fangled languages/frameworks - they’re perfectly ok getting by in C/ASM. Neglecting that the entire point of abstraction is to achieve more complex tasks by hiding the details.
From Netlify: Hey everyone, this was definitely an issue on our side. We were testing an internal change to our routing mechanism and returned a testing message for some of the requests. Unfortunately, in a subset of CDN locations, for customers on our regular network (not HP Edge) that have a proxy in front of Netlify, those test responses were routed through their proxy. That meant that these test responses were cached there and served instead of the corresponding asset.
It's like the WSJ watches Oliver then spends a week or two to write an article on the exact same issue. From what I recall this is the second time now.
I couldn't really figure out why US cellular users stayed on SMS and MMS while the rest of the world moved to WhatsApp or Telegram.
I absolutely think you should plan out how your customer will solve their problem with your product, including concrete examples, and make sure you are always headed towards that goal. I'm very waterfally that way.

In this case I'm talking about the tasks in each sprint. I think 1 day of planning per sprint is a lot. We are supposed to be agile. If we missed a task, swap it with another. If something isn't actually important, bring in something new. We end up doing this anyway... so why all the upfront planning each sprint?

Related back to the above comment, (my opinion) people really love to establish rules and processes and are not able to handle ambiguity. I spend a lot of time (remember the 4 hours a week) arguing whether a story is a mouse or a hedgehog.

IMHO it's splitting hairs, let's just do the work and we estimated a little wrong it just isn't that important.
I empathize, though it's a difficult problem:

> I can’t explain that attraction in terms of anything else that’s familiar to you. For example, if we said the magnets attract like rubber bands, I would be cheating you. Because they’re not connected by rubber bands. I’d soon be in trouble. And secondly, if you were curious enough, you’d ask me why rubber bands tend to pull back together again, and I would end up explaining that in terms of electrical forces, which are the very things that I’m trying to use the rubber bands to explain. So I have cheated very badly, you see. So I am not going to be able to give you an answer to why magnets attract each other except to tell you that they do. And to tell you that that’s one of the elements in the world – there are electrical forces, magnetic forces, gravitational forces, and others, and those are some of the parts. If you were a student, I could go further. I could tell you that the magnetic forces are related to the electrical forces very intimately, that the relationship between the gravity forces and electrical forces remains unknown, and so on. But I really can’t do a good job, any job, of explaining magnetic force in terms of something else you’re more familiar with, because I don’t understand it in terms of anything else that you’re more familiar with.

https://fs.blog/richard-feynman-on-why-questions/
Are Virtue signaling jobs the first to go in this recession?
There should be government regulation around - according to which criteria internet browsers are offering their users default search engines. So for example if I make new internet search engine how do I get Apple and Google to offer it in their browsers as default search engine. Because it seems like Apple and Google are doing it on voluntary basis of good will not because government or anybody else told them to do so.