skysight-inc/HackerNews huggingface dataset:
Based on my anecdotal experience, another issue is that salespeople are not trained on the tech

I worked on a feature for new vehicles and the company failed in part because buyers simply didn’t know those features were part of the vehicle. Dealers never set it up for the buyer and it wasn’t something many people would think to do on their own

A salesperson isn’t going to jeopardize an easy sale by bungling some fancy new feature they can’t control
Making my first robot as a software engineer
This is very rare, so much I can't remember when was the last time it happened, but I was inspired by your words.

Thank you for writing them.
you will receive share in your name in a database, but physically it will be stored "in the street name" in the depositary house, of which there is only one.

plus even if there is only a single share authorized for stock exchange, there will be more than one in the float, due to synthetic shares: created when shares are borrowed and then reshorted, created to support derivative market (selling calls and buying puts). ALso borrow/rehypothecation mechanics is recursive, since shares are fungible, I can recursively re-borrow and re-short the same share, creating synthetic shares out of thin air, supported by nothing other than some bytes in the database somewhere, and not physical shares

https://news.ycombinator.com/item?id=26011135
Managing Zero-Day Vulnerabilities in the Real World
They’ve been at it with this narrative for decades now: that US students are bad at math and sciences. Is that why the world sends their best to US for education? If China and India are so great, they’d have great research institutions by now. China, and now India, certainly do not lack funding. So why are they lagging so badly when their gen pop is so great at math and science TESTS?

Oh, you mean doing well on tests and tests only means absolutely nothing irl. I met some great Chinese mathematicians but I also met a lot of Chinese students who excelled in cheating on their work. In my undergraduate years ago, I knew of this straight A Chinese student who literally posted all his CS projects to be done by someone in China. My idiot professors never found out despite him doing it for four years. Good for him I guess because he and his buddy professor went to work for Google.
When the output looks the same as the original we would say that the simulation was successful. That is how computer games do it. We're not asking for the exact position of each grain, just the general outline of the pile.
Thunder Nova 51. It's a big, fairly expensive laser, but it's owned by a makerspace I'm part of.
Pijul's "upstream" (and git predecessor) darcs is still useful today. It doesn't see itself as a "research prototype" and has decades of experience in the real world. It isn't git compatible but does offer a fine fast-export to git in the worst case you need to switch.

Unfortunately some of those decades of experience with darcs are lessons in how it performs poorly in large repos or with large teams/lots of merge conflicts, but that still leaves darcs a good experience for small projects and "just getting stuff done".
Yeah, that's totally fair--DBOS is totally built on Postgres, so it can't provide stronger durability guarantees than your Postgres does. If Postgres loses data, then DBOS can lose data too. There's no way around that if you're using Postgres for data storage, no matter how you architect the system.
You don't even need to use the official CMA, just a regular old brokerage account ticks basically all the boxes (debit card, checks, bill pay, etc)

But yea there's a CMA too

ostensibly the CMA offers better atm reimbursement, but then the brokerage debit card also does, so that's weird.

The major difference:

sweep in CMA is FDIC, the brokerage is SIPC (but held in treasuries). The underlying thing (US government ) is the same, but FDIC has way better turnaround. But because it's FDIC on the underlying bank (Fidelity has no banking charter), it's not clear to me how much benefit that even is.

FDIC turnaround is faster, but only for failure of the underlying bank, not fidelity. If fidelity fails, you'll still have some SIPC latency to resolve things, instead of single-business-day FDIC awesomeness.
PEP 8106 – 2025 Term Steering Council election
The Python Steering Council election for the 2025 term has concluded. Don't worry - unless you're a core developer yourself, you didn't miss a chance to vote.

Summary of results: four of the existing five members remain; Thomas Wouters is replaced by Donghee Na. There were two other nominees not chosen: Mariatta Wijaya (who usually goes by just "Mariatta") and Ethan Furman. Voting was a straight approve/disapprove on each candidate, with the top 5 selected (to my understanding, this may change for future elections). Each new member received at least 63% approval from those members who actually voted.

Related discussion and notices:
https://discuss.python.org/t/steering-council-election-resul...
https://discuss.python.org/t/observations-on-the-2025-steeri...
You can't get approved for surgery without PT in many cases anyway, so by default, most people will have to undergo PT regardless. In a lot of cases, you still can't get surgery; insurance will request pain management via injections and stuff before approving surgery. In my case, I had to go through 6 weeks of PT, then insurance asked me to do another 6 weeks after the first 6 failed to produce benefits. PT accelerated my decline because they didn't understand the mechanics in my case, so it's not always beneficial either. Also some of those conservative treatments (injections) are still being denied by insurance. My dad recently went to get another series of injections and was denied because they didn't think it would be medically beneficial despite the fact that he improved significantly from the first set and it lasted over 6 months.
I guess there's a blind spot here.

antirez gave

community gave

most people assume that this create a new thing, a group, which has a shared past and value .. and should continue (i would agree to that personally)

"pure" open source advocacy would claim "nothing is ever to be expected in any future" (i can understand that too but find it a bit sad)
The problem is that mathematics education isn't just about learning times tables.

It's also the primary medium schools use to communicate analytical reasoning and deductive analysis. If you cut math as a target without fundamentally reworking curricular elements, you'll have a ton of graduates who are much worse at negotiating the validity of competing logical arguments.
Thanks for sharing. How does we determine if this is authentic? Was this published via a dead man switch?

Also how does this website relate to the Substack that he had, which apparently got censored and blocked by Substack yesterday?
Last time I checked pilot wave theory was not developed enough to permit modeling of quantum computers, or at least no one had done the work yet to apply the theory to that use case. It is very undeveloped.
An Obvious Statement About Open Source [video]
Edit: never mind seems like this recommendation is not the best

A1111 is a good place to start. Very beginner friendly UI. You can lookup some templates on Runpod to get started if you don't have a GPU.

someone else mentioned a local setup which might be even easier
Or maybe, just maybe, closing school for two years had a disastrous impact on kids.
Garbage Truck Explodes in Chicago Suburb
Yeah, the core DBOS library is totally open-source and you can run it anywhere as long as it has a Postgres to connect to. Check it out: https://github.com/dbos-inc/dbos-transact-py
>I would love if the cookie modals on each site became browser-level,

if the EU regulators who wrote the cookie law had any competence, this is how it would have been implemented. browsers should have a cookie prompt in the UI, not websites.
Did the change take effect during his administration or after the tax cuts expired or rather after the income brackets also increased? That change was intentional so that the following administration if it wasn't the GOP would feel the heat of and get the blame fortaxes going up.
I think the world would have been much better off if AI research were banned from the start. This is the sort of nightmare that capitalism breeds: take the short-term gains regardlesss of the long-term consequences and deal with the consequences later. And I find it ironic that scientists are the ones saying this when they are responsible for helping create it in the first place. It's absolutely maddening and ridiculous. We could all end this right now by just destroying AI, if only we were more logical and united like the Amish.
I don't want to be a jerk but the salesperson couldn't pronounce "autonomous" which tells me they aren't being trained in selling the feature at all. I can't even remember him referring to it by the marketing name.
Why would we not? If I didn't control for demographics, I probably wouldn't have my kids in our local public schools (in the wealthiest county <? - Santa Clara> in the country) because the Great Schools ratings show only mid-pack achievement. If I do control for demographics, though, I see the white & Asian kids are doing fine and it's the rest who are struggling, primarily for a combination of socioeconomic & immigration reasons. Given this, I'm comfortable sending my kids to our neighborhood schools because I'm in the fortunate demographic where kids will do well no matter where you put them.

It's the same for any educational achievement measures, including PISA. Kids from households with two parents who are working professionals and college educated will do fine most of the time, and kids without those privileges will struggle most of the time.
I think they meant hardcopy as in “physical copy” not as in “hardcover”
> At the very top, the US excels at math.

Did you assess every other school system "at its very top" and compare? This seems to be very clearly a double standard. Consider that IMO numbers are going to be biased due to the US's larger population compared to other highly developed countries.
K-12 education is also leading international charts, but I agree that we are most likely massively overspending on it.
This argument about "evil megacorp" is problematic because you can't really isolate those from the small and wonderful startups.

Specifically I've been directly involved in MongoDB ecosystem with FerretDB and there are so many small indie providers worldwide would love to offer MongoDB Atlas alternative to their customers, but can't because of SSPL license.

I know, for many it is hard to make piece with it - Open Source, for real means EVERYONE can use it for ANY PURPOSE, and this means for good and for evil, both "good guys" and "bad guys"
COVID causes neurological damage which includes brain damage. (People who lost their sense of smell were suffering mild, localized brain damage.)

Another observable impact is a steady rise in car crashes post COVID. The data is there, but most people want to whistle past the proverbial graveyard.
Start with the handy precis that Mr A leaves at the top in yellow. You can drop that into conversation right now with some confidence! Mr A has quite some clout hereabouts let alone elsewhere, so that seems reasonable.

You can't know everything but knowing what you don't know and when to rely on someone else to know what you don't know and to confidently quote or use what they know that you don't know, is a skill too.

"Critical thinking", and I suspect you do know how to do that and whilst this blog post might be somewhat impenetrable it is still might be useful to you, even as just general knowledge. Use your skills to determine - for you and you alone - whether it is truth, false or somewhere in between.

Besides, a mental work out is good for you!
I don't think they do know how to ship. Reaching this feature is at the discretion of the model and how it prefers to answer the question. If I want to use canvas for a coding-brainstorming session and the model doesn't think the prompt is rigid enough to invite it as a use case; I'm SOL.
GM SuperCruise and Ford BluesClues are comparable products, so I don't know why you'd exclude Tesla's product as not "operating in any markets."

Other companies have neat AV demos (some that they even make people pay for), but fundamentally they can't and won't scale.
I dont need to logically disprove theories like this, because I experience myself in a way that you can't argue against. Trying to convince me my experience of myself is an illusion is, in my view, a horrible case of trying to fit reality to your model. Yet it's one that a surprising number of scientifically minded people enjoy doing, for some reason. Beats me.
what does it mean if healthcare doesn't include the corner cases though? where do you draw the line? is cancer treatment healthcare? what if you have a rare cancer?

im not the one arguing from a made up definition here. almost ANYONE would consider cancer, rare cancer, sickle cell treatments, and gauchers treatments "healthcare". its disingenuous to put those outside the bag of things called healthcare just because its inconvenient to your worldview
>I find it disturbing how many people allow apps to access their location 24/7.

Why? It doesn't effect you at all.
This is absolutely beautiful. I love it so much, and I want the rest of the world to be like this.
It's the Economy, Stupid
Sorry but you need to cite some sources... The fact that random adtech devs on HN have no algorithms useful to them to run on a QC does not mean much to me.
> In the future, it may well be updated to show the green, white, and black flag of the Syrian opposition to Assad's regime (often called the Syrian National Coalition).

My understanding is that the appearance of any given glyph in any given font is up to the font designer, and not at all dictated by the Unicode Consortium.
> Having said that, the biggest caveat to the “10^25 years” result is one to which I fear Google drew insufficient attention. Namely, for the exact same reason why (as far as anyone knows) this quantum computation would take ~10^25 years for a classical computer to simulate, it would also take ~10^25 years for a classical computer to directly verify the quantum computer’s results!!

I don't understand that part, can someone explain? There should be plenty of problems that take a long time to solve, but are trivial to verify? Like for example factoring extremely large numbers that are the product of a few very large primes? Maybe not on the order of 10^25 years, but still?
A fun one is to compare its coverage of Trump's Ukraine scandal to Biden's Ukraine scandal. It is a good example of slant being constructed from completely factual reporting.

We've got pretty clear kickbacks happening from a Ukraine company to a high ranking US official. It is likely legal in the same way that congressional insider trading is legal - it'd be illegal except for the fact that it affects politicians. Wikipedia doesn't consider there to be anything there worth talking about except for a page on Biden–Ukraine conspiracy theories despite there being, as far as I can tell from reading the related pages, no plausible explanation for what was going on except corruption.

Then you go to the Trump page where he prods the Ukrainians to investigate what, prima-facie, looks like pretty serious corruption and we get the short thesis that is the Trump–Ukraine scandal page.
At scale, yes. But this would still be solving toy problems with less variables, fewer dimensions.

And they’re not actually solving weather problems right now, I think. That was just an example. What they are actually solving are toy mathematical challenges.
Anything about gender ideology for one
Causal physical models have no distributional requirements, so they are not sensitive to distribution shifts. ie., A causal model accounts for all possible distributions.

The kind of risk with a causal model is that the model itself, of reality, is incorrect. This is a different kind of risk than there being 'no model at all' as in the case of curve-fitting over historical data, which is radically more fragile to expected shifts.

In general, we're quite good at knowing the limitations of causal models, ie., specifying model risk here is much easier. You even, exactly, point out a known problem in the modelling which is impossible to state for an AI model.

Since the AI model is just a weak induction, there are no terms/structures/etc. within that model which can be analysed to understand what parts of it are sensitive to what aspects of the system from which the data was taken.

All we can say is, we know that in general, train/test distributions have to be "nearly exactly the same" for any of these methods to show anything like cross-val levels of accuracy. So we can very confidently predict when we know train/test wont be the same, that this is a mumbojumbo metric.

Indeed, in the vast majority of common ML examples you can, right now, just go and look at real out-sample data collected later than the "common dataset" and you'll find the val accuracy is random or worse-than-random despite arbitarily high cross-val scores.

The dataset which drives me most up-the-wall on this is house price datasets, or pricing datasets in general. Prices, generally, follow geometric brownian motion and nearly all ML models are extremelhy bad at modelling prices. So it's basically pseudoscience whenver anyone uses these datasets to demonstrate anything, esp. predictive accuracy.
Next.js 15.1
A fisherman was relaxing on a sunny beach, enjoying the day with his fishing line in the water. A businessman, stressed from work, walked by and criticized him for not working harder.

"If you worked more, you'd catch more fish," the businessman said.

"And what would my reward be?" asked the fisherman with a smile.

"You could earn money, buy bigger nets, and catch even more fish!" the businessman replied.

"And then what?" the fisherman asked again.

"Then, you could buy a boat and catch even larger hauls!" said the businessman.

"And after that?"

"You could buy more boats, hire a crew, and eventually own a fleet, freeing you to relax forever!"

The fisherman, still smiling, replied, "But isn't that what I'm already doing?"
Related. Others?

Why Navajo is one of the most difficult languages (2023) - https://news.ycombinator.com/item?id=41097075 - July 2024 (84 comments)

Why Navajo is the hardest language to learn - https://news.ycombinator.com/item?id=38484528 - Dec 2023 (1 comment)

Samuel Sandoval, among last Navajo Code Talkers, dies at 98 - https://news.ycombinator.com/item?id=32297121 - July 2022 (1 comment)

Navajo Code Talker John Pinto Dies, Age 94 - https://news.ycombinator.com/item?id=20008374 - May 2019 (2 comments)

Navajo Code Talkers - https://news.ycombinator.com/item?id=10059642 - Aug 2015 (2 comments)

Last Of The Navajo 'Code Talkers' Dies At 93 - https://news.ycombinator.com/item?id=7848945 - June 2014 (19 comments)
Meanwhile, it’s wild to me that you seem to think open source means “free for everyone… except them - they make too much money.”
OP may be highly skilled and disciplined, but the implication here is probably a bit exaggerated.

Assuming he is talking about buying in a full $500 at a $3/5 table, that's 16 big blinds an hour (16bb/hr x 5usd/bb * 8hr = $640), which is a god-tier rate in the long run.

For mere mortals with less skill and patience, it's also possible to lose the same amount the next 8hr session, resulting in a net zero for two days of work. Or, to sit break even for 8hrs with crappy unplayable hands, because you do need to play less hands to win as he mentioned.
Location: Irvine, CA

Remote: Yes

Willing to relocate: no

Technologies: C/C++, Python, Yocto/Open embedded, u-boot, STM32, Arm, USB, I2C, CAN, HTTPS, Flask, PyTorch, git, GNU/Linux, linux drivers, 5G, WiFi, BLE

Resume/CV: https://baldesi.ovh/download/resume_baldesi_sw.pdf

Email: luca@baldesi.ovh

I am a software engineer focused on embedded systems. My background is in computer networks, with a PhD. in distributed real-time systems. I have worked in the medical industry on the connectivity of embedded devices and on smart antennas.
Could bitcoin miners use this to "guess" the next block?
Yeah, mine was via a corporate policy. God knows how it decides such things, but it's not a message I've ever seen before, so there could be something wrong with the site that other security software might flag
Apparently they did: I've heard it claimed there was at least one submarine that used Kagoshima-ben, a famously impenetrable dialect spoken in southern Kyushu, for precisely this purpose. I can't find any reliable source though.

More generally though, Japan now and Imperial Japan in particular was very big on there being "one Japan" with one Japanese people and one standard language. Dialects were not encouraged and Okinawan, which is really a different language, was ruthlessly suppressed (kids punished for speaking it in school etc).
https://postalagent.com is my side project that lets you building mailing lists and send postcards online

https://checkanyvin.com is a slightly older project that lets you run vehicle history reports cheaper than other services
Another bit of evidence is unruly passenger reports from airlines [1]. There's a kind of mass PTSD / trauma response at work re covid that causes people to shy away from the obvious facts about its effects on us.

That said, these test score effects are the result of many factors, only one of which is likely mild neurological damage.

[1] https://x.com/AlecStapp/status/1864990443567562890
By doing the math of many physics calculations to design a setup that will make these quantum phenomena stable enough to be useful, then building it and seeing if prediction matches reality.
> Don't like it? GTFO out loser! Uproot your family, move away from everything you know, all your friends, and go take a chance in a completely different country. Just change everything about your life and stop trying to make anything ever better. Otherwise STFU about it!

- You
If you don't care about traction then you wouldn't seek press for your fork to begin with. TFA is clearly seeking traction.
I agree. It seems that "open core"[1] is a failed experiment. I'm hopeful the idea will be replaced either by governments being smarter about the computers, or companies agreeing to sponsor foundations, or... something. But clearly taking venture investment to build OSS and turn it into a profitable enterprise is an idea that has been thoroughly shown to be flawed.

[1] aptly named if you think about the nuclear power analogy :)
GM believed Kyle Vogt when he was hyping up their tech by having small, meaningless deployments in a dozen cities and promising $1B revenue by 2025. Then they had that incident and GM found out exactly how far behind Waymo they are. Waymo is now giving 175k rides every week and expanding to new markets every year. No other robotaxi company in the entire country giving rides to the public.

Now they've gone back to what I think GM's original plan was for acquiring Cruise — using their tech for passenger cars. Selling cars is GM's bread and butter. This wasn't going to end any other way.
I think it's possible that your numbers of amount spent per pupil don't take into account the total benefit to that pupil towards their education. If Norway say also helps comparatively more with housing, food, and medicine, then that might also factor into the educational outcome of their pupils, especially if it means parents can spend more time helping their children.

Anecdotally the smallish town I grew up in had good public schools, and many of my teachers lived in nice homes nearby the schools they taught at. The HCOL city I currently live in has (supposedly) poor public schools and one of the issues I hear is that teachers can't afford to live anywhere near them and don't want to commute hours to work, so they have high turnover. If housing weren't so expensive the public schools here might be better while appearing to spend the same amount on education.