skysight-inc/HackerNews huggingface dataset:
And that is still (marginally) better than what the commercial and political propaganda machine we call "journalism" has become today.
Scientists release the first complete sequence of a human Y chromosome
How? wouldn't they be in NK on their computers
For some reason calling out "it's not achshually a Ponzi scheme!" is the new "correlation is not causation!!"

Yes, I agree with you, it doesn't have the features of the Wikipedia definition of a Ponzi scheme. But language changes over time. I think the salient point that people now think about when calling things a Ponzi scheme is "Early investors are aware that, at its root, the investment sucks. So their goal is to entice new investors to buy into the original investment, which has the effect of transferring wealth from new to old investors, with the hope that the old investors can get out before the gig is up, thus leaving the newer investors as bag holders." That description applies both to the original definition of a Ponzi scheme, and to newer uses that don't include other features of the original Ponzi scheme.
does this mean they're not currently profitable?
By the time you were 4, you had already absorbed much of the structure of your parents' language, including its models of self.

People were not less intelligent in the past, but they knew less, and had a radically smaller fund of inventions, including mental models and practices, to draw upon. Late speculation about "hypnosis" and "hallucinations" have to be understood as analogies. We know with certainty, anyway, that notions of gods and sacrifice were invented at some particular time, and passed along. And, we know it was common in many places to perceive carved figures talking.

In 12ky, if we don't eliminate ourselves, we will certainly have many inventions that we will be unable to understand life without, and be left to try to imagine it.
On the other hand, they probably spend significantly less time bickering about their respective salaries.

IME, talented people can spend an absurd proportion of their time bickering about how ${other_talented_person} makes ${trivial_number}/year more than they do, all because they're ${some_trait}.

Overall, I could imagine this filter being both good and bad. I'm not confident whether it nets out good or bad, but you can't argue it's not a dramatically simpler system, and simple systems are often surprisingly better better. :shrug:
What worked for me was joining a unicorn. It's high paced enough to have fun. But lots of people have been hustling for years and know what it's like to be burned out. We have some training on burnout. We have managers who were burnt out. There's a reason some places have unlimited PTO - the kind of people who end up joining have to be forced to rest hard. We don't talk work on weekends, only go carts, gym, and gaming sessions. Work overflowed? Well, the sprint ends on Friday, commit to less next time and get plenty of rest this weekend.

You still get to do your 7% week on week growth, and many unicorns have a kind of startup branch that handles this, which isn't tied down by the usual restrictions. But they also have the resources to let you take time off and not push you too hard.

But if you get tired of the high paced work, you can often request a transfer to the slower stuff. They've already invested resources in training and filtering you.

Stock options are already worth a decent amount by the Series C. Some have things like secondaries which let you cash in before the exit.

Another path that worked for me was teaching bootcamps or polytechnics. Probably don't go full academia; you end up trapped in university politics. Just a lower level where you can write content, iterate on it, and just teach. It can get frustrating too but it's a different kind of frustration.
I usually just tell recruiters I won't even consider interviewing unless they can tell me up-front that salaries are not negotiated and are systematically the same for all employees in the same seniority ranks.

I feel like these companies are often the more equitable ones. Salaries are never fair when they depend on negotiation skills IMO, and I say this as someone who would probably benefit from the negotiation tradition.
It's in the kaithem-kioskify up a little earlier in this thread.

Eventually I'll probably move it to a standalone thing since there seems to be a whole lot of interest in the SD protection feature, but it's missing a few of hacks for programs I don't really use anymore, like the apache logfile thing, just because I got tired of maintaining stuff that didn't have much interest.
I wouldn't trust the woke ai to make any decisions on what I can and can't read.
I think there's less daylight between us than it seems.

> Errors are normal, not exceptional.

The _handling_ of errors is normal. Code that doesn't consider errors is not production code.

And granted, in Go, control flow is driven by errors more often than in C++ or Java. Sentinel error values are common. See for example all usage of error.Is, checking for io.EOF, packages that define ErrSituationA and ErrSituationB, etc.

But my argument was about errors that can't be dealt with locally, where the origination and ultimate handling are very far apart. A given flow will encounter these errors relatively rarely compared to the happy path (and if it's not rare, you probably need to fix or change something). Having an intuition about this is important for predicting your code's performance. For example:

- The SQL call failed because the network connection dropped; client gets 500 or 502, or retry.

- A call to an external service failed because the network was bad; it gets retried.

- The SQL call succeeded, but the record the client asked for wasn't found, so the client gets a 404.

- Writing to a temporary file failed because the disk is full, so some batch job fails with an error.

Apart from potential concerns about DoS, worrying too much about the performance of error handling in these relatively rare cases is absolutely premature optimization.

DoS isn't even a concern. I just benchmarked capturing a call stack in Go, and it's on the order of a few microseconds. Unless you're in performance critical code (and you're benchmarking, right?), it's fine.
Textures, sample images, something like that?
So the higher cost from higher VRAM comes from the implementation of higher bandwidth to accommodate more data flow because there are more cores versus CPU?
Sigh. Thanks.
Indeed so - Go makes it fairly easy to track since packages are made up of multiple files, but it will need to be done.
Early in my career, essentially a lifetime ago, we were launching a new line of eco-friendly kitchenware. My team was divided on two messaging approaches. One camp believed in the emotional appeal: serene images of pristine forests, juxtaposed with families using the product, essentially proposing that using our product was akin to saving the environment. The tagline was something pithy to the effect of "embrace nature, one meal at a time."

The other approach was more socio-culturally driven. In particular, it focused on communities that had traditions rooted in nature conservation. the advertisements showcased local figures, elders if you will, using our kitchenware while sharing age-old wisdom about respecting the environment. the tagline was (something like) "honoring traditions, preserving tomorrow."

We ran both campaigns in a split test across multiple regions. to our surprise, the socio-cultural campaign outperformed the emotional one by a substantial margin, especially in regions with strong cultural ties to nature, like certain areas in the Pacific Northwest and parts of New England. Follow-up interviews revealed that people felt a deep, personal connection to the community-focused ads. They felt that the product wasn't just another item but a bridge to their roots.

All that said, even with that and other similar experiences over the course of my career, I'm bearish about completely sidelining the more automatic responses ingrained in us. While cultural imprinting and rational processes play significant roles in decision-making, it's probably a mistake to entirely dismiss our primal instincts and inherent biases. They've evolved over millennia and shape much of our intuitive reactions, long before conscious thought even enters the equation.
Ideally people just stop buying their shitty products and they go the way of Sega. Unfortunately quirky millennials need their nostalgia bits tickled.
I’m a full-stack/mobile developer who was laid off in June. Within two weeks I had another offer, which I turned down. A couple weeks later I found a fantastic job that I was very qualified for, which paid about 60% more than the job I lost. Throughout the whole process, I didn’t get turned down once during an interview. I used to be horrible at interviews, especially technical ones, but I seem to have gotten better.

I’m currently having a great time at my new position, which seems much more stable and comes with a much better compensation package (including being fully remote). My new employer is much larger, and there’s a lot of room to grow in this role. I really couldn’t be happier with how things went.
If it isn't my old friend, Willie McGreg. With a leg for an arm and an arm for a leg!
All banks use a credit reporting agency, a seperate one. You never discovering this just shows you and those you surround yourself with have never had to deal with it. Thats nice, but also a privliged and ignorant position.
Oh, there are band levels (at least, assuming we used band levels in the same way you mean), but everyone in that band level must make the same amount of money. And the band levels are fixed. It's not like talent acquisition can magically make up a new band level to give someone more money.
They absolutely should. They won't, but they should.

A lot of the modern megacorps basically made their money by ignoring laws that were put in place to prevent farming the younger generation, and yet here we are.
> just pretty much doubled the prices

They prices were already double, it was just scummy resellers capturing that value rather than Nvidia.
While I hate using the stupid "meta" name, MAGMA is a much more fun acronym than FAAMG, or GMFAA, or MAGAF, etc.
I remember uni course on GPGPU and only discovering during first lecture Nvidia donated hardware to make sure it would be Cuda only course.
Is there a way to run on desktop?
I don't hate on him because for me those SPACs were obvious money grabbers (I won't invest in an IRC client/server architecture. It can be useful but not _that_ useful. Virgin Galactic was also clearly nothing like SpaceX, especially for needing people inside it for manuevering).

I have sent my mom to full body MRI scan partly because of him and other people in her age generally getting cancer.

He's interesting when he's not pushing his own investments.
crash
"you got thirst trap instagram photos in my david cronenberg dataset"
"you got cronenberg photos in my thirst trap instagram data set"
It's okay to have morals and to talk about them.
The company has over 80,000 employees and women are more than 50% of the full time employees and the majority of managers are women (by a long shot). I'm not sure what needs patching to the culture.
But the point here is that SPAC as an investment vehicle allows sidestepping a bunch of due diligence in the name of 'just avoiding wallstreet commissions'. that basically ends up becoming prime target for any non-IPO-worthy-but-shiny security to be offloaded to general public. then the next argument from same folks will be .. well price of anything is what somebody will pay for it, so buyer beware.
See my response to a sibling. I wasn't clear; I was implicitly differentiating between these:

1. errors that can be handled locally (such as parsing; in other languages, these situations are often signaled with return values instead of exceptions)

2. errors that can't be handled locally (such as network errors; other languages use exceptions for these)

My argument was that worrying too much about error handling performance in #2 is premature optimization. 1ms is extreme, but the actual figure of capturing a call stack in Go -- several microseconds, by my benchmark -- puts it squarely in the "don't worry about it unless your code is performance-critical" category.
oddly, they're actually committing to higher storage usage, as they're gonna start offering one year retention as part of the base package, which used to cost $2/m extra, so in effect (from their perspective) they haven't really raised the prices so much as forced everyone into a more premium service tier. I'm guessing it's either because they were already retaining data for a year anyway and just hiding that from us, if we didn't pay for it or they don't anticipate it costing much more in terms of data, but each additional PC is somehow an extra expense enough to warrant charging another $20/yr
My company has openly bragged they predicted they would need to hire over 200 employees this year, and AI systems meant they only had to hire 45.
I certainly would hope they would bar anyone from raiding in the state.
Best practices for fine-tuning LLMs [video]
Being a pessimist is academically safe and intellectually lazy.

If you’re wrong in your predictions nobody cares because it’s better than if you’re right.

On the other hand, if you’re an optimist and you are wrong you look like an idiot and the social penalty is higher.

So people continue to predict doomsday and most of the time it doesn’t happen.
Share and Reuse CI/CD Workflows in Bitbucket Pipelines
Shameless plug for something one of my teams shipped this morning. Pipelines is an extremely under-publicised part of the Bitbucket Cloud Product and ironically one of the most well-liked.
Take that as a signal. The messaging in journalism has been so thoroughly hijacked that people trust gossip more. I can appreciate that people might pick “unreliable“ over “actively manipulating.”
Are people durably achieving a competitive advantage through the GPT?

I think we've seen some people striving for a competitive advantage, and willing to see one exist, but I don't know if we've seen any "AI company" turn a meaningful and durable profit yet (open to being wrong on this).

To me (so far), it seems like GPT use cases that apply it as a table stakes feature of some greater application (rather than an ecosystem or a platform), are the ones that are actually showing promise in terms of expected utility + value capture.

If GPT4+ level engines become as cheap to execute as a SQLite query, I think that's where things get interesting (you can start executing this stuff at the edge).

But I still can't see new companies (a la OpenAI, MidJourney, etc.) making a lot of money in this scenario, it seems to overwhelmingly favor companies that already have distribution.
You could've said the same thing about anything before it hits mass production. Wind and solar were expensive too at one point. It is not much of an argument.

The thing about hydrogen is that is made from an extremely plentiful resource: water + green energy. That puts the cost floor at below that of bunker fuel. In fact, the cost floor is pretty close to zero. So you are basically repeating the generic "renewable resources can never be cheap" argument. But it has been discredited.

Nobody uses anything like a battery powered ship for long distance travel. You are making up imaginary scenarios.
That's a complex question. Often for companies there's a "we are not cash flow positive by design as we are spending investor dollars to grow" vs "we are not profitable because the cost of serving our customers is more than they will pay"

This statement implies the former, not the latter.
The UK, France, China, and Israel are more than an order of magnitude under the US and Russia in their nuclear armament, and Pakistan, India, and NK are another order below them.
This is untrue. At least in the us, the company is required to cut you a check, which can be cashed without an account.
How to customize AI to solve your problems [video]
well, so did Greenspan after he found the 'flaw' in his thinking but the damage is already done. its not like he is taking his FB earnings and using it to do some philanthropy if he really felt that bad. these are mostly billionaire crocodile tears.
The honest answer is: don't know yet, but if it doesn't happen in 1.0, it will be the priority for 1.1.

I'm going to do some experiments in the next few days and see how it goes.

Roughly, the way we're thinking of adding Windows support to Bun is:

1) Get all the Zig code using platform-specific system APIs to use the closest Windows equivalent API. Fortunately, we have lots of code for handling UTF-16 strings (since that's what JS uses in some cases)

2) Get uSockets/uWebSockets (C/C++ library we use for tcp & http serve) to compile for Windows, or fall back to using libuv if it takes too long to make it work

3) Get the rest of the dependencies to compile on Windows

4) Fix bugs and perf issues

There are a lot of open questions though. None of us are super familiar with I/O on Windows. JavaScriptCore doesn't have WebAssembly enabled on Windows yet.

The biggest thing I'm worried about (other than time) re: Windows is async i/o. In Bun, we _mostly_ use synchronous I/O. Synchronous I/O is simpler and when using SSDs, is often meaningfully lower overhead than the work necessary to make it async. I've heard that anti-virus software will often block I/O for potentially seconds, which means that using sync I/O at all is a super bad idea for performance in Windows (if this is true). If that is true, then making it fast will be difficult in cases where we need to do lots of filesystem lookups (like module resolution)
YouTube has child influencers with targeted product placement. E.g. Ryan Toy Review
Point taken, but how about these:

- My mom cant figure out Blockchain either

- My sister (doctor) and brother (3 degrees) cant figure out Blockchain either, because they are too afraid of scanning the wrong QR code and having their balance drained

My mom, sister, and brother all use ChatGPT. My brother uses it actively for work.
I wish Canada considered budgetary discipline.
The Tug Bibliography Archive
This is true. However, much like "crackers" are always looking for the next exploit ... chasing that dragon of the next n00b who doesn't sanitize strings passed to their DB, or, above that rather script kiddie level, oh, say, something like infecting all the computers in Iran related to running centrifuges to enrich uranium ... there are various kinds of economic fraudsters looking for that next way to extract piles of money into their own personal "Scrooge McDuck"-style "money bins". And, Silicon Valley has been ground-zero of this sort of activity* in recent years as well.

But, IPOs became rather passé post-2010ish, for the truly depraved. Too much regulation, you see. SPACs are ever so much more exploitable. Though, IPOs continue to be successfully used to funnel money from the have-nots to the already-haves.** And so, here we are.

Yes, there have been people legitimately trying to use SPACs to finance efforts they truly believed in. My sense, having traded SPACs myself during the height of the frenzy was: much less than 50% had much of any real legitimacy. And, solidly more than 10% or even 20% were scammy as hell ... particularly at that time when the money taps were wide open and fraud was absolutely rife across many vehicles etc. (helped along by ... survey says: the very "internet" Silicon Valley made such a massive economic force...).

* On a much larger scale and with a much more "legitimate face" than some of the other "operators" better known in this area, generally

** See, for example: https://www.businessinsider.com/venture-capital-big-tech-ant... ... I'd provide more refs in general, but sadly, super pressed for time right now ... so, obviously, I would advise anyone to take what I've written without solid refs with the usual grain of salt. Plenty can be found with some searches (quite neutral searches ... i.e., no "leading the search engine" required).
You are aware RLHF tends to make models dumber, though, right?
why are they so bad at text?
> Platforms like Instagram and TikTok have grown beyond making connections and delivering entertainment into places people trust to keep themselves informed

And the NYT, MSNBC, Foxnews, Verge et al have grown beyond places people trust to keep themselves informed into delivering entertainment, going back to the early 2000s with 24 hour cable news and talking heads shows.
From React to Htmx (DjangoCon Europe) [video]
There are three fleshy parts on each finger. Four fingers on each hand. Use thumb to point at each fleshy part in sequence to count from 1-12. This is what I do for counting/addition.

However, recently getting into music. Now, add a fourth count on each finger (point with thumb at the fleshy part on the palm just below each finger), to get a 16 count on one hand.
Nate's actual conviction was for fraud and money laundering, not insider trading... yet they keep framing it as an insider trading conviction when it has absolutely no bearing here. The guy did some sketchy stuff at a privately held company. Normally being fired would be enough, but he's clearly being made an example of, and a poor one at that when the DOJ is completely sleeping on folks running multi-million dollar grifts.
> from what I've read they're losing money like crazy.

Source? Random tweets don't count.

> They're legitimately bad today (Siri in particular, but even Google Assistant is much worse than itself from back then)

Your anecdote. My anecdote is Siri doesn't change, but our expectation becomes much, much higher. Siri blew everyone's mind by... making a phone call to nearby Starbucks. When it came out that phone call was a super big deal.
I’m no “but won’t someone think of the children” and try to evaluate each case individually, and frequently disagree that something should be done for children’s’ sake. However YouTube, TikTok, etc have severely violated privacy and I think should be pounded with the hammer of the law through fines.
More Thoughts on Critical Windows
>makes completely false claims and draws uninformed conclusions based solely on the presence of cookies, which are widely used in these contexts for the purposes of fraud detection and frequency capping—both of which are permitted under COPPA

Anyone who's an expert at COPPA know if this is true? The weirdest thing IMO would be if the FTC specifically insisted that kids need to be able to ballot-stuff view counts and run DDoS attacks against Google.
You’re the one posting (most likely fake) stories to push your ideology and drum up outrage. So who is trolling again?

Also, how are you so arrogant to assume your opinions on food should dictate what people should eat?
This is just propaganda. The food on US submarines isn’t a perk. Eating that food made you want to be home whether you were underway or in port.
Distance Metrics in Vector Search
It really should be trillions at this point. Fines are just a cost of doing business for these companies.