skysight-inc/HackerNews huggingface dataset:
It's too late to edit, but I should clarify, MERIT has at least two DEM, the MERIT-DEM and MERIT Hydro.

MERIT Hydro is the one I am using at larger scales.

MERIT Hydro has "Hydraulically Adjusted Elevations". Of course the actual elevation of the surface of the lake will be set up in whatever direction the wind is blowing on a given day, but MERIT Hydro is interesting because they tweaked the elevations to make them monotonically decreasing in a way that should align with the mean direction of flow.

For visualization, MERIT Hydro is nice because it is smooth float32 (as in your image) that also downsample nicely. It's just not high enough resolution for smaller catchments. AW3D30 has 30m resolution which is much better, but is stored in int16 and can sometimes look a bit lumpy, especially with a large vertical exaggeration. For example:

https://topography.jessekv.com/?lat=1.3622&lng=103.8131&mode...

I found a spot on Pyramid Lake that has the whole catchment:

https://topography.jessekv.com/?lat=40.0756&lng=-119.5985&mo...

I'm going to add this to "favorites" :D
> If neither, what is this new race to be called? Would he be a different race if his father was also mixed race?

American racists had precise, and now-offensive nomenclature for rations all the way down to 1/8 black, possibly beyond. https://www.pbs.org/wgbh/pages/frontline/shows/jefferson/mix...
Next step is definitely investigating the feedback loops / interplay between personality and "performance". My biggest question is whether intelligence converges into a certain personality "band", i.e. are higher performing models going to be more similar to each other ... We don't have quite enough variety to know yet but there's fertile ground there
The best papers have "contribution statements" which clearly lays out who did what.
Two names, two ids, two countries????

“Tax Agencies hate this one trick…”
I wear my seat belt anytime I leave the driveway but I still want one of these things.

My car can't tell the difference between a person and my backpack on the passenger seat, but it dings regardless.
I'm self-taught and had a job in the autonmous vehicle industry writing software that included safety-critical functionality.

I had about 12 YoE at the time, and my manager didn't realize I didn't have a degree until after I was hired. Apparently it hadn't affected my offer, and he was more impressed than anything.

You say:

> SE is the set of techniques, practices, tools that we have collected over decades for producing multi-versioned software that meets a certain reliability rating. Not all of these is freely available online.

The same way there's no single guide on the internet on how to be the kind of engineer who builds reliable or extensible software, I don't think there's a guide hiding in the average CS curriculum.

Most of it consists of getting repetitions building software that involves the least predictable building block in all of software engineering (people), in all its various forms: from users, to other developers, to yourself (in the future), to "stakeholders", etc.

Learning how to predict and account for the unpredictability in all the people who will intersect with some facet of your software is the closest I've seen to a "universal method" for creating software that meets the criteria you defined.

And honestly I'd be concerned if someone told me you can just be taught some blessed set of tools and practices to get around it... that sounds a lot like not having actually internalized why they work in the first place, and the "why" is arguably more valuable than the tools and practices themselves.
Anyone got a simple implementation of 'Tiny pointers'? My mind prefers code/pseudo-code first rather than the proof.
Orrrr maybe you’ve been lied to. Which you have been based on all the data that’s come out over the years.
Psst, don't give them ideas keep them to yourself be rich!
Name and shame, please!!

ReCAPTCHA due lack of opt out is effectively illegal in the EU.
FWIW, there is a much more damning piece of statistical evidence in the full report produced by the Election Truth Alliance.

Link to the full report: https://electiontruthalliance.org/clark-county%2C-nv

At the end of the full report, there are two histograms of the vote shares earned by Harris and by Trump, respectively, overlaid by a gaussian ("normal") distribution. Election shares tend to follow gaussian distributions [1]. In Clark County, NV, the election shares have a strong discontinuity that favors Trump, but only in Early Voting results.

This discontinuity only appears to exist on machines that tabulated a lot of results.

Past elections that are suspected to have been fraudulent (a few in Russia and one in Uganda, prior to 2012) show these exact same types of discontinuities, whereas elections that are generally regarded as secure do not show these types of discontinuities [1].

Are there other potential explanations for these discontinuities? ("Russian Tails" as they are colloquially known [2].) Yes! Election Truth Alliance lists them out as any proper data scientist would. Furthermore, ETA lists and links their datasets, and invites anyone to use them. This is what a model data scientist should do.

It seems that they are trying to get more data from more contested areas. What will they find? I don't know, but it seems that the more this phenomenon presents itself, then some of the alternate hypotheses can be ruled out.

[1] https://pmc.ncbi.nlm.nih.gov/articles/PMC3478593/

[2] https://www.rferl.org/a/georgia-election-manipulation-russia... *[Interesting that Elon wants to get rid of Radio Free Europe. -ed]
I get that people are here to hate on Google, but I am just here to say that reCAPTCHA albeit acquired, is an absolutely brilliant idea. The kind that solves two (three? if you count tracking) problems so elegantly
Contextual Information Makes Platforms More Stable
Many big tech companies treat business trips as rewards. Fly business, live in a nice-ish hotel, get meals and taxi comped. It's a little vacation.

One of my early managers (based in Asia) saw his annual two-week business trip to the Bay Area as one of the most valuable perks of the job. He even brought his family along a few times (he paid for their travel obviously, but they probably shared his hotel rooms).
That misses the point that there may be breakthroughs that are much harder or near impossible to make if you're familiar with the state-of-the-art.
They clearly don't know jack about drilling.
I don't think "motivation of the host" is a great way to accurately describe the issue that Diaconis is calling out, it is rather intended to be more intuitive.

In a precise way, the reason the question is underspecified is because it doesn't say if the probability of the host offering you a chance to choose again is dependent on which choice you make. If the host offers the choice more twice as often when your pick right and when you pick wrong, then changing you pick is the incorrect choice.

Now, colloquially, it can makes sense to assume the host always offers the choice, but practically, if we're looking at how to use statistics in a real world situation, that isn't a safe to always assume that probabilities are independent.
That's one way to get to UBI alright
This kind of reminds me of when there was a lot of hype around messenger apps and this idea that we'd just do everything through a chat interface / chat bot.

It never panned out, arguably because the technology wasn't quite there yet (this was well before ChatGPT came out), but I thought the bigger problem was that people thought that a chat UI was the ultimate user interface. Just didn't feel right to me. For simple tasks, sure, but otherwise it felt like for "exploratory" tasks it made more sense to have a graphical user interface of some kind.

Same sentiments apply to the hype around agents. Even in a hypothetical world where agents work as well as any human I don't think an agent/chatbot UI is necessarily the ultimate user interface. If I'm asking an agent questions, it makes sense for it to show rather than tell in many contexts. Even in a world where agents capture much of the way we interact with computers, it might make more sense for them to show us using 3rd party SaaS apps.
> frightening

Don't be scared of "the many," they're just people, not unlike you.
App auto saving was added in the next release Lion, I think you want that one.
Latent / embedding-space reasoning seems a step in the right direction, but building recurrence into the model while still relying on gradient descent (i.e. BPTT) to train it seems to create more of a problem (training inefficiency) than it solves, especially since they still end up externally specifying the number of recurrent iterations (r=4, 8, etc) for a given inference. Ideally having recurrence internal to the model would allow the model itself to decide how long to iterate for before outputting anything.
Indeed. But the hosts machinations can be arbitrarily more complex; maybe he offers the switch to contestants he finds attractive only when they’ve picked a goat, and contestants he finds unattractive when they’ve picked the car.
Single point of failure does not mean failure. It's an engineering term that refers to the risk associated with consolidating numerous responsibilities under a single system.
I'm the person OOP is quoting in the article. It's an estimate based on two observations:

- 23% of candidates tell us outright that they don't want us to match them with crypto (see chart here: https://bsky.app/profile/otherbranch.bsky.social/post/3l4wod... )

- About 36% of candidates who didn't, that we end up reaching out to about a crypto role, decline it explicitly because it's crypto.

So: 23%, plus 36% of the remaining 77%, equals just north of 50%. Add in a few who don't turn it down outright but who end up withdrawing later, and you get a bit north of half.
Making career decisions "not about the money" is an incredibly luxury for someone who needs to live or raise a family in the regions where tech startups are a notable factor.
It's a great demonstration how cheap solar actually is. Last time I checked you can get two panels 800w total, inverter and basically everything you need for 500e or less, depending where you buy, and it's probably even cheaper now. If you want to put a larger installation on your roof, it's going to be 1500-2000 per kw, so easily 4x the actual hardware price, so most is just labour, permits etc. But even then it's worth it!

What an amazing invention.
The Call Is About to Come from Inside the House
This is the technology equivalent of monkeys throwing feces.

If everyone pandered to Musk every time he wanted attention, the world would come to a standstill.
Do you want OS updates to work or not? They can't work if you randomly edit files.
The Rise of the Drone Boats
To be frank it seems like you’re the one doing the willful misinterpretation. The purpose was to make a statement that asking a journalist for a retraction is serious business with legal implications, and doing so flippantly is a good way to get dunked on.

The CEO bringing up solvency before claiming that “banks don’t get closed for [BSA findings]” implied that banks not suffering from insolvency don’t get shut down, which is throughly debunked with several examples.
I mean, not really? It's not like I make money from it, it's completely open-source and free to use. I gain nothing besides sharing similar work to OPs which I found interesting.
Far too many people talk about security as if it's a simple binary and not about effort levels and dissuading attackers.
> With an outlay of €400-800 and with no installation cost, the panels could pay for themselves within six years

For what I’m paying PG&E, this would pay for itself in under a year.
non-non-profit
Wow that's hardly faster than the tape recorder :O

So the atari was relatively fast! I never knew. I didn't have the disk drive until I was much older.
Yes and no. Yes the level of discourse was always that bad, but previously the people posting at that level were Internet randos, not the President of the United States and the executives of our most important businesses.

I do wonder if these clowns appreciate the long-term consequences of shattering the mystique of business executives. It's all memey fun and games in the moment, but later on when you have to make the counterargument against "why do these people deserve their billions? why shouldn't they all go up against the wall instead?" and you try to say "Well, it's because they're so talented and brilliant; doing so would cause incredible harm to the economy without their strong guidance", it becomes much harder to do that convincingly when we can all see them behaving like toddlers in public.
It seems from a profile that on the eager engine the serial scanner is able to feed ~32 threads worth of decoding: https://share.firefox.dev/4hS1eJa.

It might be worth speculating, or at least optimizing the serial chunker more. You could theoretically start a second serial chunker from the end working backwards but that would not be wise with our ordered streams, as the decoded data would have to be buffered for a long time.

Similarly on the new streaming engine, each thread is active ~half of the time, except the thread running the chunking task: https://share.firefox.dev/3WQV9og.

Note that in a lot of realistic workloads on the streaming engine compute can happen in between decodes, completely hiding the bottleneck. Also all of the above is with the file being completely in file cache, if fed from a slow SSD it's not a bottleneck whatsoever.
I'm skeptical that this is a reliable analysis. Lots of researchers have tried to put off-the-shelf LLMs through robust personality inventories like the MMPI, and they generally flunk the validity scales/have totally incoherent inhuman "personalities." Somewhat recently, folks at DeepMind did an interesting study using Big5/OCEAN (among others) and found that LLM's could mimic real people with something like 80%-85% accuracy, but that was at the item level. IDK if they've neglected to hire actual clinical psychologists to consult on this stuff or what but the rubber typically meets the road on composite scales/scores and not items. For such an interesting and perhaps important line of work, there seems to be a surprising lack of psychometric rigor.
You can choose as an investor between:

a) Coca-Cola (~$300B, profitable, stable, stock-listed, well-known addictive brand, accepted business model with steady growth)

b) OpenAI (bleeding cash: $5B lost last year, tech that is not really novel anymore, weird corporate setup, competition that offers similar products).

It's not that easy to support the idea that OpenAI will be the winner.
> As to legalities....,if there is no regulation adressing it, its legal, beurocracys hate that, but there it is.

This is not law works. Either way there absolutely is regulation in minute detail about backfeeding power into your home, in any jurisdiction in EU or USA I’m aware of
Does the longevity of a single company matter when you"re dealling with billions? He can always jump on the next thing, right?
I advise anyone with a startup idea to just make a prototype you would like, then see if its reinventing the wheel. Repeat where necessary
The lack of a batteries-included stdlib makes the JS ecosystem exceptionally vulnerable. PyPI is vulnerable to the same class of problems, but it’s an order of magnitude harder to execute a wide-reaching supply chain attack compared to NPM, since the dependency trees are far shorter on average.
Honestly, it seems like their principle lately is actually 'Do dumb shit'. They have been gradually making the app worse with the only goal being moving customers to the most expensive subscription tier. For example, I am a Super tier subscriber (not Max) and they decided that paying to not see ads doesn't apply to them showing ads for the Max tier.
They also are pushing their AI (I think) 'video call' feature which I have no interest in. I have been a long term subscriber but I am not renewing in April. It's just not worth it anymore, and this doesn't even take into account issues with the language lessons themselves.
Also, making a good game is not a scientific breakthrough. There were great deck builders before.
Right, the other side is when you end up with rediscoveries of the same ideas. The example that comes to my mind is when a medical researcher found the trapezoidal rule for integration again[1].

[1]: https://fliptomato.wordpress.com/2007/03/19/medical-research...
Chicago Bridge and Iron. It's not in Chicago, doesn't make bridges, and doesn't use iron.
We could also call it the Open Agent Permissions Interface or OpenAPI for short.
I don't disagree with the sentiment of returning ecosystems to their balanced ideal, however it should be pointed out alongside your statement that overgrazing is by far and away more common as it stands than undergrazing, and there is a concerted effort by the cattle industry to change the narrative to one where they become "land custodians" rather than exploiters. Large ungulates are a keystone species, however they are more often than not grazed in herds far larger than the land they are on can sustain. Illness, famine, water shortages and predatation (by many species long extinct now) kept these herds in check - they don't so much now. This article summarises it better than I ever could:

https://westernwatersheds.org/the-history-of-public-lands-gr...
Isn't this Musk offer just for the nonprofit part, i.e. not a comparable number?
Not sure if it is still running but in Berlin you got or get 500€ of your balcony solar installation bill payed back from the city.
What happens if you get a lawsuit or injunction demanding information removal or alteration? What if somebody archives a born secret or something sensitive?
>Ministry for the Future (deep dive into each political side portrayed and maybe even a bit too optimistic in some ways)
I loved the book but it's indeed hopelessly optimistic. I think the heat wave that begins this book is going to happen in the next decade and the response to it would be remarkably NOT like the book
It's certainly not true that it focused on stability even if Bertrand said it. Any kind of change reduces stability by introducing regressions. This includes performance improvements and it even includes other stability fixes.
im sure he'll be fine but thats not really my main concern here
I interpreted that to imply the subsequent phrase "within the Bits about Money universe." As in, the article you're currently reading is not going to be explaining the topic again.

But a whole paragraph of this piece is analyzing the use of the term "retraction," so I guess we could expect him to be a bit more careful with the word "definitive".
Google doesn't choose which ads you see. Google says "These are the attributes of someone who deserves to see an ad" and companies bid on that ad space. That means that if the adult diaper company is ABSOLUTELY CERTAIN that you want their diapers, you will see nothing but adult diaper ads.

Supposedly Google has some internal processes to try and punish you if you buy ad spots that don't convert or cause bounces or something, but I find it hard to believe google would give up money from stupid businesses like that.
In Berlin, you could get it for free through the SolarPLUS[1] subsidy program. My setup (2 panels, inverter and mounts) cost less than 500€ and was fully subsidized.

[1] https://www.ibb-business-team.de/en/solarplus/
https://www.youtube.com/watch?v=tG3oAvkUadc
Many car owners certainly care about gas mileage. It might not be the most important factor but there is some consideration for it. Similarly, renters could care if informed. But cars and apartments are very different products, and you can get somewhat reasonably cheap+accurate estimates of the efficiency of one but not the other. So the whole point is moot.
Yes, which is what most real world hash tables do. They resize themselves once hash collision is too probable.
I think it may work in the long term but it requires a lot of domestic investment to create that manufacturing capacity. This would require investor confidence that the tariffs will stay around for a long time.

In the short term it will just be basically a sales tax. And I bet corporations will add a few more percent to the price increase caused by tariffs. Same as in the last years with high inflation.
Apologies if I misunderstood. It’s an interesting line of inquiry. People are tricky, expectations, regret, life circumstances and time periods, and so on. It is a long path between actions and feelings.
> I find your answer incredibly arrogant as a developer because you don't have a successful product so it's a gamble for anyone choosing to join your company.

To be fair, this is true of any equity model, which is precisely why most engineers (at least in our data set) place very little weight on equity.
Wow, it's worse than I imagined: https://www.kentik.com/blog/ending-saint-helenas-exile-from-...

> While internet service has improved exponentially in Saint Helena, tariffs are still quite expensive when compared to the average local income, and basic users face a data cap which seems hard to justify given the most expensive component — the submarine cable — was essentially gifted to Saint Helena by European taxpayers.

> Lastly, Saint Helena islanders connect to the internet via ADSL2+ copper lines, meaning they rarely achieve more than 10Mbps download. The SHG began building their own FTTH network, but a major issue is Sure’s license to operate, which states that the SHG is required to compensate Sure for all its infrastructure if their exclusivity is not protected.
Yes, after you've paid your income tax, of course.
The inverter connects directly to the panel and has short DC leads.

Look at the "Component proximity" bit here:

https://robinsun.es/en/products/robinsun-performance-basic-b...

There's probably other setups, but I bet this is how most of the small, cheap ones work.
Elon Musk Leads $97.4B Bid to Acquire OpenAI
Kinda like Japanese Sake?
Nah, solar panels have just gotten really cheap.
Just submitted (16 points, 56 minutes ago, 7 comments) https://news.ycombinator.com/item?id=43005265
What's the proportion to breakthroughs that are easier with familiarity? How many accidental discoverers do we need to match the output of a Terrance Tao or an Erdős?
Dupe (202 points, 1 hour ago, 136 comments) https://news.ycombinator.com/item?id=43004889
there might be a decent amount of "survivorship bias" too. meaning you only hear of the few events where someone starts from first principles and actually finds, be it luck or smarts, a novel solution which improves on the status quo, but i'd argue there are N other similar situations where you don't end up with a better solution.

That being said, I so disagree with just taking the "state of the art" as written in stone, and "we can't possibly do better than library x" etc.
Line of sight to a problem solving architecture, while cool, is nowhere near line of sight on upgrading the existing crappy data that is critically intertwined with literal thousands of apps in a typical enterprise.
Many overweight people simply cannot run that far even if they wanted to.

In fact it is one of the insidious things that gaining weight forms a vicious feedback loop.

Also, often enough when people start exercising to lose weight they overcompensate by eating more and getting even more weight.

Finally, the "diet and exercise" advice is clearly misleading as paid for by the sugar council. For almost everybody, our weight is dominated by what we consume. Some people can get out of this by exercising a lot, multiple hours a day, without getting injured or overcompensating, but that is not enough people to matter compared to the diet pushed on people.

The first step to making America healthy again would be to criminalize adding sugar to food-like substances
Cline works well for me.
Did you read the article? What you said directly goes against the study's conclusion.
No, he’s from a Python background :)
There should be a quote for that