skysight-inc/HackerNews huggingface dataset:
Pomelo Care | San Francisco, NYC, Remote (USA only) | Software Engineer (mid career - Staff)
Pomelo Care is a multi-disciplinary team of clinicians, engineers and problem solvers who are passionate about improving care for moms and babies. As an early member of our engineering team, you will have the opportunity to shape the product, codebase, and culture at Pomelo for years to come.

On any given day, you may:

- Write clean, elegant code to build new features and keep our platform humming

- Design new systems to enable Pomelo's clinical team to deliver personalized care to an expanding patient population

- Build a great mobile experience so pregnant women and new parents feel they have a support team in their pocket

Tools we use:

- GCP, Kotlin, Typescript, React, React Native, Terraform, Spanner DB, Big Query, DuckDB, Dagster, DBT, K8s

Personally, I've never had so much fun and learned so much at work. This team is the best so I recommend applying if you're looking to learn a lot and make a big impact in an important space.

Learn more here: https://boards.greenhouse.io/pomelocare
Do these BLS statistics reflect “real” jobs, in the sense of what an average older American thinks a job provides, or are these mostly new economy “jobs”, with poverty wages, no healthcare, retirement funding, etc?

My sense here in NYC is that there is a surplus of minimum wage warehouse, retail, and food delivery level job openings concurrent with a de facto white collar and career-track blue collar hiring freeze.
The thing about trying to work out food ingredients via analytical chemistry is that it largely boils down to "lots of compounds in ppm, ppb, and ppt quantities" which if you're missing one of them causes the taste to go off. So it will tell you lots of things, but it won't really do anything to clarify what "natural flavors" are in the ingredient list.
> A watermark is easy to implement and prove if your content gets picked up in the next training set.

Is it? How would you watermark raw text? Images maybe, but I'm skeptical even there.

My high-school cousins tell me kids use one AI to write these days, and another to rewrite it to avoid AI detectors. I view fighting against this as a Sisyphean task.
I think it's different for different kinds of stories. To borrow your example, one possible interpretation of The Wizard of Oz is that it's a political and economic allegory around the gold and silver standards. Allegories often by their very nature have to stretch and bend reality (even an internally-defined one) to tell the story they want to tell.

I agree with your hesitation to start a debate about The Last Jedi, but I think your point about what rules are ironclad is why reactions to that movie were so mixed. For me (and many others), the mechanics of the Star Wars world are paramount. I have trouble experiencing strong in-universe emotions when those mechanics are broken, because when that happens, I'm pulled out of the story and have trouble immersing myself in what's happening to the characters. But to others, the emotional impact of what happens to the characters, and how they act, is the most important thing, as you suggest, with all other concerns secondary.

The writers of the Star Wars sequel trilogy had a very tall order on their hands: the "original" Star Wars fans are older (some might say much older) now, and they needed to tell a story that could appeal to those people (such as myself), but also appeal to children and young adults. It's very hard (some might even say impossible) to create a narrative that speaks to superfans who have been steeped in the mythology and mechanics of a world for decades, but also attracts a more casual viewer who just wants to watch a cool story with lightsabers and spaceship battles. My opinion is that they sacrificed the first bunch in order to attract a fresher audience, but it doesn't really matter if my opinion is "correct" or not; the fact that the movie (or entire trilogy, even) was so controversial, with so many opposing views, is all we need to know: they tried to appeal to too many different types of people, didn't do a great job of it (if a great job of it is even possible) and in the end a lot of people were unhappy.
I guess the parent means that all of the formulations contain artificial sweetener (while some also contain sugar).
It's extremely difficult to take Google seriously when they talk about privacy. Particularly when they say something like this:

> These models are not “databases” nor is their purpose to identify individuals. In fact, the inclusion of personal data can actually help reduce bias in models

So because their purpose is not to be a database that identifies individuals, there is not only no privacy problem with training data including personal information about people, but it's a good thing as long as the personal information is somehow filtered out at the application level?

Pull the other one.
Funny to think that we're this far into the "information era", and your choices for consuming this book are either physical paper, or general (non-hypermedia) ebook.
If you have 2 identical resistors that are 5% over nominal and you put them in parallel, you'll get a value 5% over nominal. Example:

Suppose you had a pair of 105 Ohm resistors that are nominally 100 Ohm. In parallel you get:

1/(1/105 + 1/105) = 105/2 = 52.5 Ohm (5% over expected 50 Ohm)

If one is over nominal and the other is under, they'll cancel out for the most part:

1/(1/105 + 1/95) = 49.875 Ohm (0.25% under expected 50 Ohm)
Location: Raleigh-Durham Research Triangle, North Carolina, US

Remote: Yes, also open to hybrid or in office.

Willing to relocate: Unlikely, but open to discussion.

Technologies: JavaScript, TypeScript, Ruby, Golang, SQL, React, HTML, CSS, PostgreSQL, MongoDB, Express, Sinatra, Apache Kafka, Debezium, Jest, Minitest, Docker, Git, RESTful APIs, Redis

Portfolio: https://www.alex-bair.com

Résumé: https://www.alex-bair.com/assets/documents/Alex_Bair_Resume....

Email: see resume

Soft Skills: Project Management, Leadership, Detail-oriented, Communication

Hi, I'm Alex. I'm a full stack software engineer looking for full time roles in the Raleigh-Durham Research Triangle. Open to remote, hybrid, and in-person. I am passionate about digging into complex problems, learning new technologies, and working with others to build software.

My most recent project, Willow (https://willow-cdc.github.io) simplifies creating change data capture pipelines between PostgreSQL and Redis, abstracting away setup of Debezium and Kafka.

Please reach out if you'd like to work together!
Presumably they mean sweeteners that are not cane sugar.
FWIW, Oracle now has data domains that allow more complex constraints, including JSON schema based ones:

https://docs.oracle.com/en/database/oracle/oracle-database/2...
Excellent. A user’s rights are determined by social consensus and the law, and cannot be circumvented simply by restricting access technologically. Big win for fair dealing (similar: american fair use)
This is cool. What would be a good way to prevent this type of extraction? We just launched OpenRecall https://github.com/openrecall/openrecall with which we want to offer a fully open source/auditable and privacy/security focused alternative.
What would you do if you had to change jobs to a company that didn’t have a charger?
Ehhh… I dunno, man. It’s a great first step and an awesome demonstration of metasurfaces, but NewAtlas is heavily editorializing the outcome, to the point of making the paper’s authors look foolish (if you didn’t know that the authors aren’t making the outlandish claims)

Among NA’s claims: night vision without cooling, and comparison to MCP-based image intensifiers.

The authors successfully upconverted ~1500nm photons to 550nm with high efficiency.

So, not really night vision in the sense of thermal IR (yet) That’s why they don’t need cooling: it isn’t thermal IR, which is more like 9000nm.

But it’s also not the same class of image intensification like in a typical “night vision” goggle/scope:

You get some intensification by up converting IR to vis with high efficiency, while simultaneously passing vis (and the neat effect of combining both in one image without additional processing). You could get like 1-2x intensification from the wider spectrum (using a wider band version of the apparatus—the current one is fairly monochromatic), not 100x by amplifying photon counts.

Newatlas also fails to mention another interesting property: the amplified wavelength is tunable!
That'd probably spawn a class of workers that are happy making a living off of trying out at places. Aside from that, why would someone that has a job quit their job for a company that won't commit to hiring them. The worker can already quit the new job if they don't like it early on. This only benefits companies.
As a decade long Emacs user, I can not follow: what's the problem with modifier keys?!

Just kidding, I know that some people have a hard time typing them, especially when your day job consists of doing exactly that for eight hours.
High precision resistors are often necessary for metrology applications like very precise and low drift voltage sources. Often parts like Vishay's same-substrate thin film resistor networks [0] are used, as the temperature of each resistor leg are kept the closely relative to each other, resulting in the ratio between them being stable against temperature changes. Even if you use some adjustable/tunable circuit, you usually still require some sort of precision resistor network as an original standard.

In general, however, it's much better to measure/sense physical phenomenon by first converting it into frequency, because it is much easier to measure frequency precisely. Using something like a TCXO from Seiko Epson with 1 ppm tolerance, and measuring over time, you can easily achieve 0.00001% precision and beyond. I know that strain gauges used in civil engineering often utilize this concept, where a metal string is "plucked" electronically and the frequency is then measured.

[0] https://www.vishay.com/docs/61010/ccc.pdf
and https://foilresistors.com/docs/63120/hzseries.pdf
That's the part I didn't get. The author said there was no other possibility except the modem, but why? It seems like quite a leap. I would have first suspected a compromised router on the internet. Is it possible that changing the modem caused new routes to be used which appeared to fix the problem?
I watched it. Thank you for the recommendation.

Sounds absolutely fascinating. I just started the second Hyperion book, but I might have to put it down to prioritize this. It does seem like somewhat of an investment though; as if reading it in bed might not be the most optimal way to enjoy the experience. It might require some more dedicated reading sessions from what I'm seeing in the other threads.
How to Start a Club
In series they don't add up... doing a quick example, I find that in the worst case (e.g. each resistor out by 5% in the same direction):

22 - 5% = 20.9

47 - 5% = 44.65

Actual resistance in series: 65.55

Nominal resistance in series: 69

69 - 5% = 65.55

So the combination of the components still appears to maintain the 5% tolerance.
I always associate the word “pop” with America. It has at least two uses in the US ( fizzy drink / father ) that don’t exist in the UK.
Google's Privacy Chief Is Out and Will Not Be Replaced
https://archive.ph/oDCF8
They've been selling "real sugar" (i.e. no corn syrup) Pepsi at my grocery stores for years now.

There's also a "real sugar" Mountain Dew variant that seems to be seasonal.

Though I'm pretty sure regular old blue-canned Pepsi is still sweetened just with HFCS.
The research is... kinda bad. Beaumont critzies that Microsoft stores the data... locally in an SQLite database? Because it's "easy to steal with malware" (just like your browser history, etc). Blew up in the media though...
How fun - I have no recollection of that discussion from 12 years ago, but somehow I just found out that I commented on that thread back then:

https://news.ycombinator.com/item?id=3976669#3981000

(Don't click, it's not worth reading. Pretty much like this comment, too, sorry.)
Physics wants to open the black boxes until it can no longer figure out how to pry the remaining boxes open!

It's not useful to draw a false equivalence between AI-style "the model predicts, that's good enough" and science as a whole which cares very much about the underlying structure.
The movie poster for Total Recall hit a core memory. I am gonna need to re-watch that classic tonight.
Sorry, I dropped a few words accidentally before submitting and it’s too late to edit it :-( my bad.

I meant to ask for benchmarks across the power spectrum (measured by actual pull not OEM TDP) and off charger. That’s where the x86 processors down clock heavily to keep power in check, and M series pulls ahead because it doesn’t follow suite.

The M series, even at launch, weren’t the king of outright perf, but they were for power to perf.
I think you're looking at it the wrong way. If the writer paints themselves into a corner where they need a deus ex machina in order to continue the story, then they've done a poor job of it, and need to back up and reconsider where the story was going. The argument isn't "Harry needed to be rescued in an unbelievably fantastical manner because otherwise he would have died and the story would have ended", the argument is "the story shouldn't have taken Harry to a crisis where he couldn't have gotten out of it in an in-universe-believable way".

(FWIW, I don't really object to this particular part in the story; I think a flying car is pretty consistent with the Harry Potter universe. And the poster upthread must have misremembered the scene; his friends merely came to "rescue" him from being locked in his room. He wasn't hanging out a window and wouldn't have died.)
I wish people would quit with the “(existing product name) for (some remotely adjacent thing)” format.

I get it helps to have a bridge from a known thing to the new thing, but the flip side is over use if any framing device makes people instinctively tune out.
Thanks for sharing about Nurtch & Rubix, I have come across it before in the Gitlab Runbooks.

The Jupyter part is reference to the cellular execution of tasks as per the preference of the users + being able to get execution / code next to each other. Both have been design principles for us from the get-go.

Just like how variables can be reused across cells in Jupyter, we plan to shortly introduce rules / conditionals creating interdependencies between variables in the PlayBooks steps.

Edit: Adding the a sample Playbook link here for reference -- https://sandbox.drdroid.io/playbooks/14
> local AI for browsers already has several obvious applications

Yes!

The translation engine for Firefox rocks!
Also in the NYC area. There seems to be a major shortage of blue collar labor: contractors, carpenters, plumbers, electricians, etc. the cost of home renovations is truly staggering due to this lack of supply.
Second Diet Dr. Thunder. It's surprisingly pretty decent, and ridiculously cheap.

I don't drink caffeine anymore, so I haven't had any for about a year, but it was something I would always order like a dozen 2-liter bottles of whenever I did Walmart Instacart (NYC doesn't have Walmarts so I can't get them in person).
My big drink "idea".

Take your preferred drinking vessel.

Fill it 2/3rds full with orange juice. Adjust initial amount to taste.

Open a can of LaCroix. Plain, grapefruit, or tangerine. The flavour is mild.

Fill up the rest of the drinking vessel with LaCroix.

Enjoy your drink. Add more LaCroix as you drink, watering down the orange juice. Perfect for when I get home after walking my dog for an hour in summer. It doesn't feel as cloying as soda, I can't stand Coke anymore and Dr Pepper is heading the same way.
It's really regional to the midwest part of the US, use of the term can be a giveaway to someone's area of growing up.
Here's what a SQL search looks like against it:

SELECT c1, c2
FROM WindowCaptureTextIndex_content
WHERE c1 LIKE '%{search_term}%'
OR c2 LIKE '%{search_term}%'

https://github.com/xaitax/TotalRecall/blob/28a9f75de005a3d82...
So this makes it sound like a positive thing for Iceberg as a format. Others seem to be suggesting that DataBricks will be working to undermine the format in favor of their older Delta Lake format but that seems overly cynical.
I would disagree strongly with this. :)

The e-reader UI is generally so much better than paper, if a book is not available for kindle, I'll usually find something else to read. Pale Fire is a special case book where you want two have bookmarks where you are currently working. I read Chuck Palahniuk's Diary on paper, and an e-reader would definitely have ruined it.

Technical books with a lot of charts, diagrams, monospaced code examples, etc can highlight the weaknesses of e-readers. PDFs are almost always better on a tablet.

But for like, words-in-a-row novels that don't mind being re-wrapped, there is no comparison, for me. e-Reader every time.
The real question is: Why should people have to pay to some registrar for an internal-use only home network anyway just to avoid nasty security warnings – even if it's not very much by the somewhat dubious benchmark of "cheaper than a night of drinking"?
I’m from the West Midlands in the UK and there a lot of people call it “pop”
I don't know how you can say that. We passed the Turing test within the past year, and nobody even noticed because that now seems like such a low bar for where we'll be in a few years.

ML is an important component of AI, but it's not a simple "rebrand". I get that it's easy to think of it as marketing hype, because there's a lot of people (the same people who got on the blockchain bandwagon) shilling crap. But what we're seeing isn't overhyped; it's severely underhyped.
A complete aside: I am wondering what the end game here is. If money are totally reducible to labor, but we just don't need labor anymore? Will we merely go one with negative interest and qe?
I think the fundamental issue with things like carbon credits, is that we are asking an industry that knowingly got us into this mess in bad faith to suddenly act in good faith to get us out of this mess. It almost feels like giving tax credits to the mafia for helping an old lady across the street.
Ask HN: How to find problem worth solving today?
I know how important it is to find the problem worth solving and that drives you to start a company, but since tech is evolving and we have new tools to use (like AI), what would be a good way to find problems worth solving today with the all new tech we have?

I know there are many ways to find the problem worth solving and I believe its best to solve your own problems first, but just thinking how can I approach it now and if I can find it faster with new tech.
People got used to getting 3-4 offers in a month with easy interviews.

Taking 3-6 months to get a 6-figure job is the norm in many other professions.
Please fix the link: https://www.reuters.com/business/media-telecom/canada-says-o...
Well that's not ideal
Why 90%? Why don't you go on the cloud for training at least if it's not healthcare data?

Is it because you don't need to buy many gpus to do your workload?
Griping aside, it's a valid question
When I was a kid, I had to take this medicine that came in a very cherry-flavored syrup. I hated it. To make it tolerable for me, my parents mixed it into a shot glass of Pepsi.

When I grew up, I tried Dr. Pepper, and immediately recognized the taste.
> yet were incompenent in the very subject their books are about

Gonna <press X to doubt> on this one. I mean I guess anecdotes are cool, but yours goes against basically any editor/publisher due diligence, not to mention the financial incentive of writing a book in the first place (the book actually being good), but alright.
Don't collect the data.
104 year old: "2 doctors have told me that if I drink it I'll die, but they died first"
I use an Awair, also in a cold climate. Seeing the data for my air quality motivated me to install an air exchanger. Having the monitor allowed me to see how much we needed to exchange in order to keep the CO2 at a decent level.

For anyone with a modern home that is sealed up average or better, an air monitor indoors is almost a must.

On the topic of the number of people and CO2, I'm tempted to have it alert me when I'm out of town and the CO2 rises. I have an alarm, but who would think to defeat the innocent looking air monitor on the shelf?
> People are scared and there is something really fishy going on in the tech labor market. It's like a big wave that's coming. Everyone says they're hiring and no one really is.

Reddit is not a good representative sample of anything real-world. It's where people go to complain.

Companies are definitely hiring, but they're being more selective. For people getting rejected a lot, it's comforting to tell yourself that companies are only pretending to hire people but then rejecting everyone. It's not true, though.
It’s regional here, too. Soda is common in much of the country, pop in others (especially the Midwest), coke(!) in the South.

Businesses often use “soft drink” regardless of region but people rarely say that (but it’s not that weird if they do)
How can MNIST be solved using just two binary pixels when there's 10 classes, 0-9?
Both of the examples given seem to be targeting male readers, not female readers. The first is about a man literally buying a woman's companionship. And the second is about a man "accidentally" entering a woman's hotel room and then pressuring her into performing various adult acts.

The graphics are quite bad, and the dialogue is worse. If this is supposed to be an example of the "capabilities" of AI, it's the opposite: anyone who reads these will never complain about the poor quality of human-written romance lit ever again.
I feel like the author conflates tolerance in component value choice and fabrication tolerance. The E-series were chosen so that if you have perfect resistors (no fabrication tolerance) of only their values available, you can replace any resistor value you need with one from the series, and you'll never be more off than a fixed error (e.g. 20% for the E6 series).

This only works with perfect resistors, though. If your actual resistors have a fabrication tolerance, you might be more off. For example, if you need a 41 Ohm resistor, you can use a perfect 47 Ohm resistor from the E6-series, and you'll be within 20% error. However, if that 47 Ohm resistor has a 10% fabrication tolerance, in reality it might be 51 Ohm, and that's more than 20% off from the 41 Ohm you needed.

To take the example from the author's last paragraph, if you need a 70 Ohm resistor, the idea is not that you could be lucky and find an exact 70 Ohm in your E24 resistor set, but that you change the design to use a 68 Ohm instead, and don't introduce more than 5% off by doing so (regardless of the resistor value you needed).
We never say "Pop" in New York.
Yeah…I think Gen AI has a lot of use, but this new biz model is just a new twist on harvesting the commons until it collapses.

They’ll make a quick buck, make it impossible for human creators to make any money, and we’ll be left with an ouroboros eating its own gen ai shit and reconstituting its own output into new training data.
Note that the players in the described game are buying in really short. A typical buy-in would normally be about 100BB, or $50. The easiest way to handle the extra $30 is with 6 $5 chips. If rebuys start running you low on $5s, you can introduce $25s.
Fossil philosophy would have helped with the XZ hacking debacle
These things all made sense before laser trim resistors. At even a modest volume you can get any value you want at better than 1% for basically no money.

Usually the minimum order is something like 10K parts (a.k.a. one reel) and you might pay something like $75 for it. $0.0075 per resistor.

https://www.ppisystems.com/ppi-systems-designs-and-manufactu...