skysight-inc/HackerNews huggingface dataset:
The Senate majority leader controls what legislation makes it to the Senate floor.

Frankly, most legislation that favors the interests of wealthy donors is bipartisan.

For instance, the legislation that rolled back the banking reforms put into place after the financial crisis during the first Trump term.

> the bill, which was years in the making, was a rare bipartisan accomplishment at a time when Congress is gridlocked on almost all major issues.

Sixteen moderate Senate Democrats helped Republicans pass the bill. It was an unusual moment of political unity that sparked a public feud in which the Democratic Party’s progressive wing went to war with its more business-friendly centrists.

https://www.politico.com/story/2018/03/14/senate-passes-bill...
One of the most interesting fields are not algorithms in this common sense, but optimization problems and reliable simulations of quantum systems. For example, certain car manufacturers are investing in on-premise quantum computers not because they want to break encryption or compute timetables, but because they want to develop novel electric batteries, and it's difficult unless you can simulate materials, chemical interactions, etc. Similar motivations exist in pharma (developing drugs), agriculture (developing additives, pesticides, etc.).

Another field is quantum sensing, from highly scientific (detecting particles/matter/etc.), to highly down-to-earth (e.g. military). Some properties of QCs can be used to improve the precision of quantum clocks.

There are so many exciting fields and applications, where progress is made and will be made before general purpose QC is developed on which you'd run Shor's and Grover's (if ever, in our lifetime). The truth is that QCs are best at niche unique applications related to quantum mechanics, and not so good at general-purpose computing.

Sure, pop media is not the source, it's being fed by industry spokespeople, who are ultimately concerned about funding. Many people in the industry do believe that quantum winter is coming. But it's kind of a self-destructive cycle: to continue progress we need funding, to get funding we make promises, to make them efficiently the industry gravitates towards easy-to-blow-your-mind topics like breaking encryption or solving traveling salesman, but chances are we won't have a QC capable of practically useful Shor in the decade or two at best, and by that time funding may decrease significantly because, well, "we can't Shor yet".

Examples like PsiQuantum raising almost 1B from partially public sources, and then delaying their ambitious plans does not help anybody. If they fail, the general public and the policymakers would, again, confirm their suspicions that "QCs are a scam".
Which is cool and all, but totally unnecessary for approximately 100% of users. You should at least provide an option to do everything in js.

Also, for ux reasons, I'd love this as a browser extension. Cloudy Calculator can do a lot of it but was recently deprecated as a result of the Manifest v2->v3 requirement from Google.
As someone who was very deep into Kafka in the not too distant past, I am surprised I have no idea what you are referring to- can you enlighten me?
Not sure if you are deliberately missing the point. The convoluted example was more along the lines of "some company WANTS you to take pamphlets sitting on the ground in front of their store... but only take them while bending over and not while squatting". Also sidewalks are technically public property, while your front yard is a private property.

Not sure why you are acting so obtuse.
Using a web browser with location disabled instead of smartphone apps.
My understanding is that Waymo is applying specialized centimeter-scale mapping and lidar to achieve superior results.

In contrast, Tesla is using dumb cameras and just dumping boatloads of data into their model. It’s a more general solution. Maybe the reference doesn’t fit perfectly - the model architecture is likely similar under the hood - but there’s some analogy there.
I think you've got lucky.

In our public school, there are multiple math classes already with people randomly assigned to one of them, and both advanced and regular classes are taught by the same teachers. So there is very little extra cost to have more advanced math classes - shuffle kids around and allow teachers to teach one of the classes faster. And yet we only one advanced half-class, despite dozens of students wanting to go there.

Why? Our school management is explicitly against that. I've talked to them directly, and they admitted that they are very much against any "out of the grade" behavior, the teachers are not allowed to give more advanced material. It was all in the name of equity of course.
Tesla was supposed to have what they needed when they released the Model 3. Then they had to upgrade the cameras and CPU which meant they had to re train. Then they re-wrote, so again retrain. Now it's new cameras and compute again. Cycle repeats.
Realtime Image Diffusion in the Cloud
I made a few interactive art installations last year using SDXL Turbo with a multi-GPU on-site setup. After we got a request to show a piece in Europe, I researched whether it would be possible to run the installation in the cloud instead of shipping super expensive computers. It turns out that it is doable, but there are a lot of little gotchas. I wrote about my experience developing this system, and also include links to the GitHub repository if you want to try it yourself.
It's worth keeping in mind that autonomous vehicles find different things challenging than humans do. Weird road shapes and knowing how to route into some lane is pretty straightforward with map data. It's the "normal" parts of driving like predicting other road users that are more difficult.
As a Staff Eng, I strongly related to this. At big tech in Silicon Valley, the Tech Lead archetype does tend to do all the Project Management and, depending on whether your team can afford a Product Manager (eg. Infra team), some or all of the Product Management.

IMO, it's a little unfortunate from a productivity perspective that you have a high performing Engineer also running daily/weekly syncs, doing stakeholder management, and doing upwards management for resourcing. From a personal learning perspective, it's great though. You, as Tech Lead, learn and hone a broader set of skills and not only the Architect or Senior Engineer skillset.
Unless your school is so small that there is only one math class per grade, it is entirely possible to do both.
> Other changes include scaling back its air shuttle service between California and other Western states

Makes sense...

> as well as raising the eligibility requirement for its employee sabbatical program from four to seven years.

Ah, there it is. Classic Intel; run into problems so we'll double-down on our already toxic work environment and obliterating morale.

That alone should demonstrate how they have no real strategy for getting out of this mess. They're grasping at anything to keep those shares afloat.
I think this varies so much between different companies that it's nearly impossible to make a blanket statement about it that would be useful.
the color scheme is low contrast. i would recommend black and white instead
Tesla's announced Cybercab literally can't be driven by humans, it has no steering wheel/yoke.

https://en.wikipedia.org/wiki/Tesla_Cybercab
For news-only there's https://littleberg.com
Apple AI notification summaries exist; rarely useful, often hilarious
Without getting into the (worthwhile) details of US expansion, it's important to note that the security provided by the continental and federal governments did not stop raids, and on a scale of services provided relative to dysfunctional present day governments was truly hands-off. There is running water in Aleppo.
Not that I'm a Kafka user, but I greatly appreciate your posts, so thank you :)

Maybe Kafka users should do a crowdfund for it if the companies aren't willing. Realistically, what would the goal of the crowdfund have to be for you to consider it?
https://archive.ph/VJKSE
CDs get a bad rep because people incorrectly assume that all digital music is CD quality. CDs are inherently superior to any lossy codec, especially the ones used by streaming services.

Also discrot is only a problem if you don't keep your CDs in a case, or if the case is made entirely of transparent acrylic and you lost the labels and teh little booklet. They're very reliable when properly protected from scratches and radiation.
Thank you. Flagged.
> "gun to the head" heuristic

Never underestimate the power of hiring a new employee and training them how to do what the software would do, thereby writing zero lines of code.

That $250k in initial feature development costs + maintenance might only be $75k in personnel costs a year, which is a break-even of ~4 years. Depending on the problem, that might be the best option.
that's true! I think in a hundred years we'll learn that some things almost always degrade with scale, no matter how much we try
I’m pretty certain the previous commenter was specifically talking about restricting unfettered network access to YT/Tiktok, and not locking the wallpaper or bookmarks.
I just realized that the word for organ the music instrument and the body part is one and the same in English. (In dutch they're called orgel and orgaan respectively.) Which of these meanings is being referred to in the article? To me both could make sense.
That's certainly bad UI!

But I was talking at a deeper level. I don't trust the use of this tech in things as critical as medical treatment. I think it's far too green for that.

That hospitals are beginning to incorporate it reduces my trust in hospitals.
https://github.com/corsix/amx indicates that Apple's AMX supports up to 64-bit FP, but I don't see any performance metrics. They also have the ANE, which is the low-precision ML-focused accelerator.
In my experience as a parent of a senior in high school, the classes where the least amount of learning happens are those that depend on and are designed around "EdTech". The best ones still use paper and books.

My son's AP calculus 1 and 2 classes were all paper and books and run by dedicated teachers. I have never seen my son learn so much and put in so much effort. Other classes relying on "EdTech" are just babysitting with free grades. The teachers give up because they can't obtain a basic level of control of the student's use of the devices.

In my son's 12 years of education so far there has never been a class where the teacher had control of the technology - the Chromebooks. There was no switch the teacher had to turn the Chromebooks off or lock them. No ability to filter out games. The school district IT could never stay on top of the filters. Games are a constant presence.

Having these entertainment devices in the classroom just distracts from real learning and only serves to feed kid's behavioral data into Google's profiling algorithms.
In the software industry and related domains in other industries (i.e. software at a bank, software for retail systems, etc.) the words engineer, developer and programmer can be used interchangeably. I think "engineer" is more trendy these days than "programmer". Other industries also use the words "architect" or even "sanitation engineer" and they mean different things.

I don't think its a big deal that the same words are used in job titles in different industries. The second anyone reads the job description or follows up with a question will understand the domain someone works in.

I usually go with "I work in software" and non-software people equate all of that to "IT", much like I classify Doctors as "medicine" and there are different disciplines.
You're literally describing equity. The more interesting question what option will you choose when you're told that individual interventions as you describe are so expensive as to be infeasible.

I don't think it's an issue of a person's politics, Republicans tried the exact same thing with No Child Left Behind. Is the more important thing the individual rising to their highest potential, or is the more important thing the system where economic factors
have created a cycle where only children of middle-class or better families are given the environment to rise and those kids run with the flywheel and become the middle-class parents.

I was literally never not going to be successful, I think I'm reasonably intelligent but that by far wasn't the biggest factor. My parents made damn sure I was on the gifted track, always got A's, and was set up
to get into an in-demand major at a prestigious university. Was I actually that special or was I just the chosen one, in that I was chosen?

You can only be like "that's not true of everyone <anecdote>" but the exceptions fall away in the aggregate where your success is frighteningly well predicted by your zip code.
Resolving a mysterious problem with find
Which has been happening for decades.

I find it more troubling the relationships between the government and the media more than I do surveillance at this point. When you have news outlets publishing outright lies and propaganda to create a narrative for an election, I think that is a lot more dangerous.

Like when Democrats were touting Liz Cheney's endorsement of Harris. The same person whose father they wanted to string up by his thumbs, called him a war criminal and all kinds of adjectives to describe his massive no bid contracts for Halliburton during the Iraq wars.

Trump said he's like to see what happens when she is handed a rifle and goes out and has seven or eight guns pointed at her.

This comment was then repackaged to say that Trump was endorsing the assassination of Liz Cheney. That's not misconstruing something. That's not leaving out a detail here and there. It was an outright lie and straight misinformation that was pushed all over the media for two days. Even liberal leaning outlets had to finally step in and say that, no, that's not what he said.

When you cannot trust the media any more because they are no longer one of the last checks on government overreach and influence and instead have a relationship where the government dictates to the media what they can and cannot report? That to me, is far more dangerous than surveillance.
That's relatively easy for a robot, though. It only has to learn the rules once.

What's hard for a robot is dealing with crazy unpredictable people, and while Boston has its share of those, I think SF is worse.
I didn't even own a computer for my first year of computer science (couldn't afford it), and had a 1½-2 hour commute to school. I did everything with paper and pencil, because when I had to actually turn in something, it involved staying in a giant, crowded computer lab and getting home well after dark after having left well before dawn. I still have notebooks filled with C.

That being said, my mother learned how to program when they were still using punchcard decks. My ordeal wasn't special. Don't know if I learned any better than others, but I think the need to not have bugs on the first iteration was more important for me than for other people. I did not just tweak things until it worked.
Read the "Future Work" section in the bottom of the post for the gist, and also section 5.3.
IMO the correct analogy would be a physical object where you could switch back and forth between Harry Potter and books used for learning. If that were the case I'd agree with you. But here we are talking about two separate distinct physical objects, the Harry Potter book and, for example, a biology book.

When a person is reading the latter they can't easily switch to HP, but I can do that while learning anything in my computer. It's as easy as doing ctrl + T + red + enter and I get to the infinite entertainment that is Reddit thanks to the browser autocomplete, for example.
Long before databases could even store structured JSON data, junior developers used to bikeshed viciously over the correct degree of normalization.

More experienced developers knew that the correct answer was to duplicate nothing (except for keys obviously) and then to denormalize only with extreme reluctance.

Then databases like mongo came along and encouraged those juniors by giving them something like a database, but where normalization was difficult/irrelevant. The result was a brief flowering of horrible database designs and unmaintainable crap towers.

Now the pendulum has swing back and people have rediscovered the virtues of a normalized database, but JSON columns provide an escape hatch where those bad practices can still flower.
please correct the title. it's not Gap: Ti.

The correct title is GaP:Ti (gallium phosphorus titanium).

thanks!
> I don't think we can really comprehend how big an operation that was.

I think that very impressive photo doesn’t even show it.

FTA: “A 1,200-plane airborne assault preceded an amphibious assault involving more than 5,000 vessels”

⇒ I estimate that that photo only shows about 2% of the vessels involved.

Getting (also FTA) “Nearly 160,000 troops crossed the English Channel on 6 June” onto a coast without using any ports and where you are getting shot at takes a lot of effort.
Getting Started with Open Source AI Using Kubeflow
Gracenote is owned by private equity and has limited availability of data. I prefer to encourage the use of more open data. MusicBrainz or Discogs would have been better choices than Wikidata based on quantity of entries. Though in 5 minutes I have been unable to find if Discogs even has external IDs, and I am not sure of the quantity of Spotify IDs that MusicBrainz has.
That wasn't really true during World War II. Some of the most celebrated veterans of that war were anti-authority as hell, doing things like stealing parts of fellow aircrews' planes to rebuild their own, ignoring formation to get better torpedo angles, and running ahead of everyone else in a tank. In Korea that attitude still survived, but only in the air, and by the end of the Vietnam war it had basically been stamped out. The U.S. military since about 1972 is way less lenient than before then, especially as the equipment's gotten more expensive.
The previous counts are final, this dataset is less than a quarter of the reported deaths.
Our service uses backend to perform high-precision calculations not available through Javascript. That’s why it was an intentional decision in order to avoid any delays between entering the text and backend response. However, we might change our decision after additional performance testing.
Instead of psql, I really like https://github.com/dbcli/pgcli
In civil engineering especially, you sort of assume senior people have PEs because they have to sign off on certain official documents. But, in general, outside of a few contexts like that, very few people pay any attention to whether someone is a PE or not.
My boomer cousin just said, "Yeah, they invented this really cool thing for that called a window." I just updated my will to remove his name from it.
Content addressable doesn't really work here... different apps may have the same recordings encoded in different formats and bitrates, but they are still the same recording. Unless you meant "content addressable" in the sense of a uniquely assigned identifier like I was already talking about, and not a computed identifier from the raw bytes of the file like a hash.
Well I can tell you as a Spotify user that their random play is horrible. It's not truly random, which is extremely frustrating when you have 1000+ playlist and keep hearing the same 10 songs over and over.

Here's an ongoing 150+ page, 4 years old thread about it on their forums: https://community.spotify.com/t5/Live-Ideas/All-Platforms-Op...
Focusing solely on the “babysitting” aspect of your post:

Since babysitting is essentially required in our current social framework, why do we need physical schools with in person teachers. It seems to me that we could have babysitting facilities spread to lots of small commercial spaces with in person babysitters for kids who are doing school on computers with synchronous teachers online.

I realize that the model I’ve laid out here is simplistic, but it would solve so many problems that it seems worthwhile to flesh it out and mitigate the issues.
A few reasons.

For the most part, my career was fine. I had a job at Apple as a senior software engineer at the time (though I didn't really enjoy the job itself).

Part of it was just a bit of an inferiority complex over insecurity of not having a degree. People were generally very polite about it, but internally it felt like every bad thing happened to me in my career was because of the lack of a degree; every comment felt like it was loaded with passive aggression, even if that wasn't true.

Kind of the straw the broke the camel's back was actually a bit funny; I had applied for a job as an engineer at Microsoft Research, and I was declined for it. It was far from the first time I had been declined for a job, obviously, but in this case it was the first time that the declination specifically said "declined because you don't have a degree". In the nearly a decade of working as a software person prior to that, I had never explicitly been told that my lack of degree was the reason for a rejection.

That rejection coincided with another milestone: my 30th birthday. I had told myself I'll finish my degree "next year" for nearly a decade, and now I wasn't in my 20's anymore. Obviously there's no real difference between 29.99 and 30 years old, but it just kind of hit me like a ton of bricks. I registered for WGU that day.

There are probably numerous other reasons, I did want to transition to a more theoretical role as well, but those are the main ones.
I'm generally content with ddg converter, the only its issue it is hard to convert pounds into a metric units, because ddg stubbornly believes that the pound is a currency. It will happily convert pounds into dollars, but not into kilograms.
It definitely counts! I also didn’t realize the trip count was so high, that is very impressive.

The diversity of geography may be critical, though. You can only drive the Embarcadero so many times before your loss bottoms out.
Data quality is important, too.
People used to believe that animals could generate from the earth. The ecosystem used to be viewed as a mystical thing that would take care of its self and no mere man could significantly influence. https://en.m.wikipedia.org/wiki/Spontaneous_generation
Abandoned by GitHub Copilot
This is terribly sad! Almost satire
Show HN: Scalable Sentinel-1 and Sentinel-2 data cubes
Download Sentinel-1 & Sentinel-2 data cubes of huge-scale (larger-than-memory) on any machine with integrated cloud detection, snow masking, harmonization, merging, and temporal composites

This is a super early-alpha package where I try to provide a single scalable function to users that creates infinitely large Sentinel-1 and Sentinel-2 data cubes in zarr that are as ready for further processing as possible.

The routine is super fixed and is built for planetary computer as the data source, the cloudsen12 cloud detection model, and and fmask masked snow coverage detection. The package does just this one thing and hopefully very well.

I am immensely grateful for python development tips and or any feedback in general.
We are near “Moores law” limit for how simple a unit converter can get