skysight-inc/HackerNews huggingface dataset:
a big plus one for both these items mentioned. and annoyance I've encountered with some configuration files is the lack of a built-in comment line so I can communicate in line with the configuration decisions to a future user.

Your comment about variables for usable values reminded me that it would be nice if the configuration file parser could reference other variables and sections of the configuration file to avoid repeating oneself in the same configuration file. for example, if the configuration files describing a fleet of virtual machines, it would be very handy to define small/medium/large system types with varying RAM, CPU counts, and disk layouts, then reference just the small, medium, or large type throughout the configuration file.
I don't think FAANG is trying to just stay in business. My point is not that they should not be laying off, is that they should not have hired this bloat in the first place, and responsibility should come from that. If you need to fire 10k people, as a CEO you should not get out unscathed from the decisions that let to having hired these people, especially if your company would remain highly profitable whether you fired them or not.
NB This is even more important in VM scenarios, where second-level address translation means something needs to walk a guest-physical-to-system-physical map for each level of the guest-virtual-to-guest-physical map. So TLB locality becomes even more important, and using huge pages cuts down on a multiplier in resolving TLB misses.
JavaScript Concepts: Laughing Our Way Through Closures and More
I'm highly skeptical of the technical claims you're making here.

Quality photography paper has about 10 stops of dynamic range (which is why the zone system for composition and printing goes up to X). While the negatives themselves may have slightly more dynamic range, there's also the clarkvision page[1] indicating they, in fact, have less dynamic range. This makes sense: you have less area to work with, and need to get something done with bigger grains because of light and time constraints.

You may well think it looks better, but more information it captures not. More noise, yes. Bleeding artifacts you like, sure. More information, no.

[1]: https://clarkvision.com/articles/dynamicrange2/
This comment is as silly as saying you shouldn't grow walnuts because there is watermelon. The fruits you mentioned are not even comparable to apples they are tropical fruits and wouldn't even grow in most parts of the United States. Apples from the grocery store are generally lack-luster compared to varieties that have been grown for flavor instead of shelf life.

Apples have many more purposes than eating out of hand, this is why they are the world's most popular fruit. There are cider apples, pie apples and sauce apples. You can also make pectin, jam and apple butter. What else is done with ice cream bean besides just eating it?
Out of curiosity, just how much resources are you able to access with google colab and can you use it for AI training? I’ve been becoming more interested in fintech and trying my hand at predictive/pattern recognition AI but the costs are incredibly prohibitive to getting started, both hardware and data.
Slow steady change is probably the best way to build sustainable enterprise over time. It may not scale, but it will preserve what you have.
Then there is 'microthreading' in hardware, as implemented in an academic proof-of-concept in D-RISC by:

http://apple-core.info/ via many small cores arranged in so called 'microgrids':

https://web.archive.org/web/20161121135317/svp-home.org/micr...
I'm probably confusing it with DOOM, which definitely did use a DOS extender (Watcom 4GW).
Good writing broadly defined: "Writing in a way that intended target audience finds it easy to understand and enjoyable to read."

There are different ways to write well for different child and adult literacy levels. Writing for lower levels is not just simple and terse. Hemingway is famous for his objective and terse prose style, but a person who has low reading level will miss most of it.

US adult population PIAAC reading levels:

4% are nonliterate.

14% have below-basic literacy levels.

34% have basic literacy levels (8th-grade level)

36% have intermediate literacy levels.

12% have proficient literacy levels.

2% have high literacy levels.

GPT can mimic different types of writing, but it never writes very well.
It has knows grammar, but structuring above simple sentences is random or bad. It's either simple and clumsy, or pretentious.
> No one would use a search engine composed of 100% ads.

Isn’t that pretty much what the Yellow Pages used to be? As long as you know what you’re getting…
They’re not the same, I even pointed out some specific ways they are different. My point is though that if (just a guess) the PRC analysis said Russia would take Ukraine easily, the fact they got that one wrong points out flaws in their approach to strategic analysis. If their strategic analysts is flawed, then that damages the credibility of any of their analyses.
There are a lot of reasons to not like an adaptation. I've watched Sandman, and I completely disagree with you. They did a great job. Even to the extent of doing certain scenes I didn't enjoy, but still thoroughly liked and respected. It was a breath of fresh air in an otherwise sea of "greatest common denominator appeal". Avatar, God of War, they all suffer from this.
I say this as a Japanophile myself, but a lot of male westerners experience have a very rose tinted glasses view of visiting the country.

People of Japanese descent, especially women, will give you a litany of reasons they left... most around the rigid work culture, sexism, bureaucracy, limited opportunities, etc.

When a white male westerner visits, the only discrimination we experience is generally in the form of positive discrimination. Talk to a female of southeast asian or mainland Chinese descent how they experience Japan and you'll get quite a different story.
I tried `polars` via Explorer from Elixir, and it shit the bed in an entirely different way:

```
df = Explorer.DataFrame.from_csv(filename = "my_file.txt", delimiter: "|", infer_schema_length: nil)
{:error,
{:polars,
"Could not parse `OTHER` as dtype Int64 at column 3.\nThe current offset in the file is 4447442 bytes.\n\nConsider specifying the correct dtype, increasing\nthe number of records used to infer the schema,\nrunning the parser with `ignore_parser_errors=true`\nor adding `OTHER` to the `null_values` list."}}
```

Note, I added `infer_schema_length: nil` assuming that the data type discovery via sampling was just less good in `polars`, since this would have it read the whole file before determine types, but it still failed.
Matlab isn't exactly fast, and the same technique is used for python modules.

The problem isn't performance, it's that matlab is a single click install of everything and an ide that takes care of everything for you. By comparison, managing a python environment is a nightmare.
I was hoping for this take—-of course LLMs have an internal model, and we can externally verify how accurate it is statistically. And the more you train it the better it gets. And for discrete spaces you might even get a perfect model eventually with nonzero probability.

Since you mentioned different layers, one question to ask is if your poetry example is “just a combination of existing rare patterns,” one that’d be addressed by a bigger model with more data.

And as you say the integration of new information does not seem to rely on any fundamentally new principles, just more engineering work.

I think then the question to ask would be, well, how much more data to x% more faithful of the rules of Othello?

This rate of learning matters, and can be the difference between “in our lifetime” and “never in hundreds of years”. As ML practitioners our jobs are often to improve these rates through better formulation of the learning problem.

I think there’s a connection here that amounts to “how quickly you learn”, and it has implications on causality: https://vladfeinberg.com/2019/12/01/metaphysics-of-causality...
In contrast to provider-native serverless solutions, cloud agnostic solutions carry a high price tag for the entire application life cycle in form of operations - those people petting your k8s. A common misconception regarding serverless applications is focusing on compute alone and in that context an agnostic solution may seem lucrative after traffic reaches certain threshold, justifying running a cluster 24/7. However many scalable application architecturs benefit from asynchronous processing and event-driven models which require reliable messaging infrastructure with considerable operational overhead. This is where serverless applications utilizing managed services shine, making it possible for small teams to deliver very impressive things by outsourcing the undifferentiated ops work to AWS.
On the other hand, if the compute layer is the only lock-in-inducing component in your architecture, a properly architected application is relatively easy to migrate to a serverful model. As a crude simplification, just replace the API Gateway with Express.
I'm not surprised that wage growth in Japan stagnated considering the limited size of the domestic market, lack of English proficiency and little import of foreign talent via immigration.

Regarding fertility rate, I don't know the projections for the younger generation, but 27% of 50 year old women here have never had children. It's hard to convince the remaining women and their partners to make big sacrifices to have three or more kids in order to make up for the perceived freeloaders (the never-married ~28% of men and ~18% of women that have no interest in each other).

Without the government somehow brainwashing the population, any real solution would likely result in opposition from large parts of society, so the can gets kicked down the road...
The number one thing that bothers me the most in the "netflix aesthetic" is the weird looking background bokeh that every scene seems to have.

It looks like a cheap gaussian blur filter applied in post production and adds to the fakeness. This is probably due to the optics in some of the latest Red digital cameras, but it's still not convincing. Kinda like 48 vs 24 FPS.
Yes. Though I usually buy slightly nicer black t-shirts. I just ask for the shirts to be tailored to my fit.

I’ve done this at dry cleaners that do alterations, and also at a dedicated tailor who just does tailoring or fit adjustments. I’d probably vouch for the latter a bit more.
It was a rebuttal against

>They mind it about as much as we do, judging by how hard they try to avoid it

If there's an example of something trying hard to avoid it that's clearly incapable of minding anything, then you cannot establish a certain link between the capacity of minding it and trying to avoid it
As an example, Facebook Messenger has become almost completely unusable on Android phones because the OS keeps killing the process despite the user specifically telling it to don't.

I'm not 100% convinced that this is by accident.
I fail to see how listing every single negative issue from every Western country, while ignoring the negatives of Japanese society, and worshipping their positives, puts us to shame.
Nice work! This is very visually pleasing and I think the addition of light task management w/ optional estimates is great!

In general though, does anyone else feel like using a pomodoro timer ruins any chance at intense focus during the workday? I don't doubt the effectiveness for others, but personally, it feels like taking frequent breaks from work lowers my overall productivity because I'm leaving and entering focus so often. This is also the reason I don't like taking walks in the middle of the workday, unless I'm working on a problem that needs more thought than action. The days that I stay in-focus for the full work day are usually my happiest and most productive.
It's possible they meant that, but it wasn't explicitly said. I just put it in the context of the response to the other user.
The animation would be clearer if there was also an annotation of what was happening at each moment.
Thinking About Things is what you're looking for. https://www.thinking-about-things.com
Oh, sure, they are in trouble. :DDDD
At Voila, a subsidiary of France Telecom, a study around 2005 found that their search engine offered nearly the same answers as Google, while not in exactly the same order.

Despite this objective comparison, in users' view Google's results were much much better.

I remember a German CS professor telling me eyes in eyes with obviously a lot of schadenfreud "Google will kill you".

And I answered "No they will become as us, big, fat and ugly".
If you like Everett Fox, you may like Robert Alter's translations of the tanakh. He has translated the entire hebrew bible and given plenty of notes along the way. If you don't read hebrew, by the time you are done reading the translation and notes you will have seen or heard the hebrew language wordplay, and the english translation by itself is nice to read!
> Everyone is lit perfectly and filmed digitally on raw and tweaked to perfection. It makes everything have a fake feeling to it.

It wasn’t until I started watching “Stuntmen React” videos on Corridor’s channel recently that I realized people are even still doing stunts. The footage in modern movies is so massaged and strangely well lit that it feels fake to the point that it might as well be the CG as I’d assumed it was.

You’re not getting the visual benefit to justify injuring these poor stunt people when it doesn’t even feel realistic at the end. Needs some grit, some imperfections. The things that made Jackie Chan’s early work so amazing.

They just don’t feel like they’re really happening, so there is no weight to it.
Many fruit collectors like Tom also make their collection available to other collectors.
Archive Link [1]

[1] - https://archive.ph/B1imX
Why the Fed wants to crush workers (19 Jan 2023)
It’s mitigation, not a perfect prevention, but those are extremely useful for security: if the attacker trips a warning after hundreds of charges are approved that still allows the bank to take action before the number is in the thousands of cards and makes it possible to retroactively revoke the transactions which were just approved. In the common case where someone is making purchases using stolen cards that allows goods never to leave the warehouse, and if the attacker slows their usage rate to avoid that they’re getting much less profit.
I'd say it sounds like I made a superficial judgement based on the trailers, which is exactly true as described!

Would you say the finished product has more visual flair than the trailers indicate? It may be they intentionally picked shots or changed the trailer footage to fit in with the brand guidelines.
Hacking The Planet.

I'm not joking. The Internet is ripe for creative minds who think outside the box. Don't be the 99% who just consume, be the 1% who explores, contributes, and shares their findings with others. And I don't mean black-hat hacking, although if that's your thing, maybe startup a pen-testing company and do it the legal way. We have to use the gift of The Internet at every opportunity.
> It might be tricky to get hold of a print copy of this book,

Amazon delivers it in a few days.
Long long time ago at a conference I did hold a talk (about something that is now common knowledge) that SEO is not a product, it's a channel.

And an ad based revenue model does not work based on SEO. As as soon as the revenue (which is coupled with traffic) goes down you are inclined to just ad more ads or make ads more agressive, which counteracts good UX which will lead to further traffic loss, which leads to more ads...

Google is not dependend on SEO, but as a defacto monopolist in search in the western world on user traffic.

User traffic to search will go down from now on. Thx to AI assistants.
Ads will go up, in aggressiveness and quantity, so their mai product will get worse and worse, fast.

So, Google is toast.

If they go down this road.

Or, they go the opposite way. Less ads, more focus on UX including AI Assistants. Revenue comes later.

But as we all know, Google will not go down that way. They are an ad business with a halfway decent search engine attached.
A lot of my reason for googling was to find facts or answers for what I’m writing or coding.

Now I use ChatGPT as an “assistant” to do a lot of tasks that I would have normally done with laborious searching through google.

It truly saves a lot of time.

Google is right to be quite worried.

Sure I still use google but really, maybe only 40% of as much time as I did before.

Why research: “give me 30 of the most common health conditions related to the human liver” and spend a lot of time in google, when the Ai can spit out that in seconds?

And worse I can ask the Ai to write a short couple of paragraphs about each one.

Then I can confirm the output and clean up the generated text into my own style.

What do I do?

I do online marketing and programming to support online marketing activities.

I write. I plan. I code. I hire.

We just taught a junior employee who is not great as a writer to use ChatGPT to help her with a good start to writing.

The training for her was how to formulate detailed and highly specific “prompts” and to use google as a backup to confirm facts in the AI generated output.

It’s not there to replace people’s work. It’s there to make them much, much more efficient.
You lose a ton of credibility and weaken your position domestically. No leader relished the prospect of a humiliating defeat in a war of aggression. In an authoritarian system it can be severely career and life limiting.
Man who pretends to care about women’s issues makes comment about the looks of the women and not on the merits, or lack thereof, of their points. Note that we can’t see what sign the women he refers to are carrying nor can we tell how fat the people carrying the sign about eating terfs are. I don’t understand the worship this man garners from some. He’s been successful in certain areas but his takes outside of his expertise are generally simplistic.
Thank you. I agree, I think yaml is the right choice for this application. Thanks for your thoughts in both comments you posted.
Google didn’t “succeed” in mobile financially. Android historical doesn’t bring that much of a profit in mobile compared to its popularity (that came out in the Oracle trial) and has to pay Apple close to $20 billion a year to be the default search engine on iOS devices.

Google Play Services is not that much of a money maker and it sells about as many phones in a year as Apple sells in a couple of weeks
To be slightly fair to the fighting game community, this article is from 2019. My understanding is that most top-line fighting games now are rollback enabled (the pandemic driven shift to online tournies put significant pressure on developers).
I have my résumé written in LaTeX and format it like this, mostly so that I can comment or un-comment specific bullet points depending on what’s relevant to a certain job application, rather than maintaining multiple versions.
I honestly think this is the start of a long demise and one day we will look back and marvel at how big they used to be. It's not something I look forward to though considering the masses of personal private data they have amassed from their users.
I also lived for a time in Germany and in Canada. I want to note that West != USA.

These countries are not without their own problems but I see no need to paper over them. Rather, we can be honest about their faults and their positive qualities so we might learn to build a better society or inform others who may want to try living there.
> they just didn't succeed at making the right decisions

What would those decisions be?
Another Rails on Lambda framework is Lamby: https://lamby.custominktech.com/
This looks fantastic!

I think this is what we need more of for new git users. I struggled for the longest with git until I came across learngitbranching[0]. I believe having an interactive/visual experience while I typed in commands is what I needed, and what most people need.

I tell junior developers they should take a day to learn this and more often than not they dismiss me. Meanwhile these people will run into git conflicts or something and their strategy is to "save their work somewhere else and redownload the repo"[1]. I know of a "senior developer" that will do that. I basically told him, in my eyes, if you don't know how to use git, you are not a senior. Or a bad senior at a minimum. See the stack overflow survey. Git is used basically by all developers. How do you expect to be a good developer by dismissing such a ubiquitous tool. I think I can make an exception for people who aren't using git at their current company and any company before.

[0]: https://learngitbranching.js.org/

[1]: https://xkcd.com/1597/
I think the legal term voluntary means the assailant willed the action taken. For example, first-degree murder involves forethought and a desire to see the victim dead. Involuntary murder or manslaughter covers accidents without malice.
This leads to everyone getting poorer, as there are no more immigrants to exploit. People no longer can get their houses renovated on the cheap, municipalities don't have cheap labor to pick up the trash and clean public toilets. Of course, since the immigrants come from even worse conditions, actually being economically exploited in the UK is a great deal for them. A win-win.
Revenues and profit is completely different
How should I manage and develop my open-source project?
I have developed one OSS tool (https://github.com/Koukyosyumei/AIJack), and I would like to ask how I manage it and where I should focus.

This OSS aims to simulate the security and privacy risks of Machine Learning. This tool allows users to experiment with various combinations of attacks and defenses against ML/DL models, such as Model Inversion Attacks, Poisoning Attacks, BackDoor Attacks, Differential Privacy, Encryption, K-Anonnymization, and Federated Learning. I have implemented these algorithms with Python and C++. I use black, isort, pytest, and codacy to check the quality of codes. I also generate the documentation with sphinx, but the quality is not high. The coverage of test codes is around 70%.

Since I do not have much experience with OSS projects, I don't know the best practices for OSS management and development. For example, I guess I should do the following:

- Improving the coverage of test codes

- Making documents more informative and clearer

- Writing blog posts (in many languages)

- Implementing more algorithms

- Unifying APIs for different algorithms

- Create some good-first-issuesfor new contributors

- Gathering contributors, etc

How should I prioritize them? How do you keep motivated? Some people demand a lot without gratitude or contributions (of course, most people are really lovely!). I will be a senior in April, so I must also prepare for MS or Ph.D. applications. I also have to work for my tuition. How much time do you usually spend on OSS? Should I focus on other things like research internships?

Any suggestions are really welcome —many thanks for considering my question.
I don't understand this recent pushback against agile development.

Do you really want to go back to the waterfall and V model style of development? Those are basically guaranteed failures in a fast moving industry like software development. If anything your comparison should be applied to the waterfall/V model because it is essentially central planning.

If you are doing things like building MVPs, iterated/incremental development with frequent changes and deployments to production then you are doing agile development.

Maybe it is not hyper formalized like Scrum but it is agile nevertheless.
Stability AI is a small enough company that it doesn't even have a wikipedia page. The Stable Diffusion model is freely available to everyone along with the source code.
I mean, the two are obviously not mutually exclusive.