skysight-inc/HackerNews huggingface dataset:
Could be that there were megafauna predators like the saber-tooth lion keeping the human population low. Could be other large primates competing for resources.
> that being bilingual gave you significant cognitive advantage?

Probably not in the "intelligence tests" kind of way, but, then again, as time passes I've tended to view those more and more as charlatanism.

> Or could you be quite intelligent with above average memory

I certainly used to have a much better memory when I was a kid (I'm now in my early 40s), that's when I basically put the basis for learning all the foreign languages that I now know: English (via the public education system here), French (via my dad and via school), Italian (by watching TV and because Italian is very close to Romanian), partially also Spanish by watching football matches commented in Spanish on TV.

Come to think of it, a study trying to explain how come kids and teenagers are much better at learning foreign languages compared to adults would be more interesting.
You might want to look into indie games. They tend to focus on simple controls and interesting, more experimental, mechanics.

If you like puzzles, you might like Patrick's Parabox (sic), Baba is You. If you like strategy games, try Into the Breach. Mini Metro and Mini Motorways give you a hyper-minimalistic take on the city-building genre. All of these are eminently playable in half-hour slices.

If you're willing to have your mind changed about storytelling, try Return of the Obra Dinn or Hades, or maybe Subnautica.
Never underestimate how many 50 year olds can fit into their mom's basement.
Would you like to expand on that? It's always helpful to hear another perspective?
> are you suggesting French somehow evolved from a more academic foundation?

I think it's true.

Modern French is derived from a form of French spoken among aristocrats; the Norman Conquest didn't bring to Britain a great influx of peasant French. For a long time, an educated Briton (a) spoke French, and (b) had lived in France, and even been educated there.
I'd say that that is a positive goal - to wake up before any alarm goes off.

Of course this is subject to perturbation by complicating factors like hungry cats.
For me it was network going down after maximizing SSH console window :D
This could do wonders for people that can't use their limbs to control devices.
High earning does not necessarily mean wealthy. Rich people in my eyes don't even need to work. People also often gain more money by not spending everything all nilly willy. Someone inheriting a lot of money is more likely to spend it on something superfluous than someone that meticulously grew it over their lifetime.
Also, "it's important to note" has forever been tarnished as "AI generated" for me.
I agree totally with your point about learning to rest. I am a startup founder, do way too many hours, plus family life, social, volunteering etc. The funny thing I am just back from a two day break (viewing universities with my daughter) and that hard stop caused me to get some virus, it always happens. Work so hard to the point you need to stop, stop, get ill. I can't be the only one.

Aside from that, it's hard for people lots of people to know when to rest when you have this moronic grind culture buzzing in the background. I despise this crush it, work more, do more things attitude in the start up / tech scene. I would have hoped with a better understanding of peoples mental health this would have vanished by now.
I'm not convinced this is true. It's more likely they're moving away from a keyword model of search toward a more natural language model because the AI hypetrain goes choo-choo.

It's genuinely difficult to do both of these at the same time. You can do keyword search well, you can do natural language search well, you can't do both at the same time. What you get in a mixed paradigm is confusing and unpredictable results.

This is mostly a limitation in query understanding. The traditional boolean index is still there.

Natural language search engines typically first do a series of traditional keyword searches to identify candidate results, and then re-score them using a natural language understanding of the query.
Sorry, just saw this comment. I didn't imply "yikes" as a security problem, you're readying WAY too much on this whole thing.

That project was a good PoC while OpenAI didn't have an API; now that it exists, I'd not install a browser extension if not needed. That's all.
If you are publishing from a blog, you can enable ActivityPub directly in that blog.
Thank you for sharing this article!

> But having spent half a decade stewarding a Ruby monolith from 20 to 200 engineers and watched its modest 10GB Postgres database grow beyond 5TB, there’s definitely a point where the pain outweighs the benefits.

Woah!

I for one would also love to hear your insights on scaling personnel from 20 to 200.

We’re in a similar boat / anticipated growth phase (at 20 odd engineers), and whilst there’s a lot of content on this topic, I’d appreciate your practical “from the coal face” take (much like what you’ve done with this monolith article).

Perhaps a follow up article? ^_^
I don't think that's right. Sure, the language runtime environment often uses a lower level language to speak with the underlying hardware or abstraction. But large parts of standard libraries may be written in the language itself. Build systems may have a little bit of shell scripting to get going, but larger such programs would often be written in the language itself. This certainly is the case with NPM, Yarn (JavaScript), Maven (Java), Gradle (multiple JVM languages), Rake (Ruby).
Tab completion does not add it in mine.

PSVersion 7.3.3
Actually it is spot on and very practical. All of those examples you give are typically preceded by a strong 'dehumanization' phase, which allows us to overcome the inhibitions that we have ingrained against doing those things to humans.
I just tried this in my mind, eyes (point) + tounge (click, double-click) would definitely be a great interface combo.
The issue is that LLMs' handling of "speak like a pirate" is evaluated by humans with a preconceived idea of what coherently expressed pirate-style responses should look like (and their outputs significantly improved by human feedback loops). We also have linters, compilers and interpreters to evaluate correctness of code and reject stuff that's borrowed syntax from the wrong language.

I can't see any obstacle to an LLM ingesting a database of squawks and emitting squawks which may or may not be in relevant patterns consistent with how a particular flock of birds communicate, but I can't see the birds advising us on whether it's using them idiomatically or not.
IP address. The classic example is scholarly/academic journals. Access by subscribing university libraries and corporations is still generally dependent on IP address. It has been this way for as long as I can remember. Early 90s at least.

An expected retort might be "But consumer IP addresses are subject to change." True, but sometimes a "static" IP is non-negotiable. For example, in the past if one subscribed to ICANN's zone file access program, which is public information open to access by anyone, not only university libraries or corporations, a static IP address had to be provided. Of course one could use a consumer IP address because those can change infrequently, sometimes on a timescale of years. If it ever changed then one had to execute a new agreement. Perhaps the requirement for a static IP has been dropped but I honestly doubt it.

Rate-limiting/access control by IP address is common and straightforward.

However so-called "tech" companies have shown they cannot be trusted when collecting information from users. For example, Twitter and Facebook each claimed they were requesting phone numbers from users for "security" reasons but it turned out they were using them for commercial purposes.
Exploiting a flaw in the code would presumably be a DMCA violation and the key is likely on a HSM so probably can't be leaked or released.

So the only realistic option is to wait for a new hardware revision that fixes this, or switch to another SoC.
Migration from one database to another is even harder than migration form a flat file to a database.
I do believe that over the last year words "disinformation" and "propaganda" lost 90% of meaning and turned into generic insults. Do you think this wiki article is written in a neutral manner?
Berkshire Hathaway sells off TSMC
>This is fearmongering exaggeration.

And this is where we disagree. Ask anyone working on desktop computer support, and you'll be surprised.

>In any case, no, the point you made, which I responded to, was "The desktop has the luxury to afford not being as secure as your phone".

That's an additional point I've made. You know, comments can have more than one. And I also stand by that comment: the phone is more tied to one's identity, often used as proof of identity for many services, and has access to more sensitive data and function than the desktop (from personal pictures, to a person's every voice conversation - which a compromised phone can eavesdrop-, and their every movement, plus, nowadays the best part of their social media use and chats).

Heck, the phone, via PIN and the like, is also used to verify a user on the desktop, for increasingly more services.
Memory management for C is not itself a solved problem, not only is there a lot of performance to squeeze out of malloc itself (the benchmarks on https://github.com/microsoft/mimalloc exemplifies the variance between the implementations), but it's up to the programmer to implement memory management in the large in an efficient way, which is not an easy task. One sure mark of a slow C program is one with a ton of mallocs and frees strewn all over.
"able-bodied" is a common one, but doesn't quite fit here. I think "widespread" on its own is good enough to get across that you mean expanding to outside the market of disabled people
Yep, that article is about very similar concepts but grounded in Spring as the framework.

I like what they do around package imports and it looks a lot like what we do at incident.io, with some rules about which packages can import what.

For people in the Ruby world who want a similar solution, Shopify provide an open-source framework called packwerk that is designed just for this:

https://github.com/Shopify/packwerk
> If we decide that it does, then conveniently there's no way for the animals to dispute it.

Not at all. You can construct tests to see if the animal's behaviour is consistent with what the network say they are "saying". You can go and check if what information you receive through it is consistent with the observed reality.

You can test that behavioural differences observed between individuals show up in the translation. For example a dog who you know is hurt, or old is probably less chipper than one who just chased a squirrel. Observers of animals often notice that some individuals are more timid while others are more curious/adventurous. One would expect that their vocalisation also reflects of this difference in personalities.

It's not like we just slap a network together and we call it done. If the translator says Lassie is saying that Timmy has fallen down the well you might as well check the well, but if Timmy is not there then this might be a translator failure.

> Am I too jaded?

Yes.
Plus bees also make honey on the side which increases their overall efficiency, moths only seek out the lämp.
I have access to it through Azure.

First you need to get approved for OpenAI access via Azure Cognitive Services: https://customervoice.microsoft.com/Pages/ResponsePage.aspx?...

Then you need to get approved for GPT4: https://customervoice.microsoft.com/Pages/ResponsePage.aspx?...

Once approved for GPT4, you'll have access to the GPT4-32k model.
"abled" is the term your looking for, yes.
Seeing young kids fluently switch between a bunch of unrelated languages never ceases to amaze me.
Can you share a bit more detail regarding overall network performance before and after deploying jumbo frames in your DC?
And here he is years later, having created at least 10 of them.
DevOps Workflows and Reliable Automation
Very disheartening.

While I have more hope for 1Password than most, at the end of the day, user activity data isn't needed, and this just feels like a start to get more data later.
I suspect they meant Chomsky.
Vertical has always been much wider than the horizontal layout is tall, at least when using the small taskbar icons setting. However the third-party utility 7+ Taskbar Tweaker allows narrower vertical taskbars, which actually makes the vertical orientation ideal if placed on the left-hand side (the least interacted with edge of a desktop, ie: less likely to be accidentally interacted with).
And "our" generation has already had its attention span reduced, not even on purpose but from e.g. having access to fast internet & multiple tabs. I can't read a book on programming back to back (I don't think I ever could btw), it's good enough for me to google it to find a solution for the one problem I'm trying to solve at this time.

But I do miss out on in-depth knowledge of a library or language that way. But there is no value in gaining said in-depth knowledge when the stack & libraries I work with changes every couple of months or years.
Yes, it is true, I am also sharing link of my repo and its blog links on hacker news.
The GP's turn of phrase read quite convincingly like Iain M Banks, then I see this!
As someone with high privacy focus, just having a user id given by stripe, that stripe then can connect to a real person is a liability. Mullvad allows payments in crypto and their site is accessible as an onion service. I know it definitely adds overhead to do both of those things, though personally I wouldn't mind paying a lot of extra for it. I'm not sure which fraction of users are like me though, I might just be an unviable customer
Watch the video. It's not clear before you watch it..
DRM is a lot more about manufacturers than consumers. This isn't a justification, but rather adding a wider view of the issue.

See the licensing costs here.

What is the cost for express processing?

$5,000 USD per "Multiplier".

What is the smallest number of Device Key sets that can be purchased?

The quantities and prices for key orders are listed below:

Description Cost (USD)
HDCP 1.x Transmitter or Receiver Key - Qty of 10,000 $2,000 USD
HDCP 1.x Transmitter or Receiver Key - Qty of 100,000 $5,000 USD
HDCP 1.x Transmitter or Receiver Key - Qty of 1,000,000 $10,000 USD
HDCP 2.x Annual Source Key Fee - Up to 100/year $500 USD
HDCP 2.x Annual Source Key Fee - Up to 1K per year $1,000 USD
HDCP 2.x Annual Source Key Fee - Up to 10K per year $2,000 USD
HDCP 2.x Annual Source Key Fee - Up to 100K per year $5,000 USD
HDCP 2.x Annual Source Key Fee - Up to 1M per year $10,000 USD
HDCP 2.x Annual Source Key Fee - For quantities over 1M per year $20,000 USD
HDCP 2.x Receiver Key - Qty of 10,000 $2,000 USD
HDCP 2.x Receiver Key - Qty of 100,000 $5,000 USD
HDCP 2.x Receiver Key - Qty of 1,000,000 $10,000 USD

https://www.digital-cp.com/faqs
My previous company made monitors, and my chinese colleague told me this rumor that some of the mainboard vendors would offer "real" or "fake" HDCP, fake meaning that you could turn the monitor mainboard into a HDCP stripper.

Now I don't know how they could offer this, and I don't know how a new HDCP key is issued when a leaked one is blacklisted. I assume the engineer just didn't care or maybe the key was already old.
Straightforward yes, quick no.
A quick search does give some results to back me up:

- https://www.statista.com/statistics/869224/worldwide-softwar...

Combined with: https://insights.stackoverflow.com/trends?tags=flutter%2Crea...

Given that the first one was limited at 2021, I would be surprised it isn't around 60%. And, having used react-native and done extensive eval on it, flutter is by far the better architectural approach, so I expect this trend to continue (unless google cans the project that is :P). IMHO, the only reason to ever pick react-native over flutter is if you already have JS developers.
I'm glad I found about this small App a while back. Super useful and incredibly cheap for the amount of small issues it solves.
For now, this is just funny, I laughed. But with the advent of all these new open-source LLMs, it will get worse.
If you thought people were gullible for falling for fake comments from bots, just wait for the near future. Post-factual/Post-Truth era truly begins. The internet that used to be a source of information is no more, only islands of truth will remain (like, hopefully, Wikipedia, but even that is questionable). The rest will be a cesspool of meaningless information. Just as sailors of the sea are experts at navigating the waters, so we'll have to learn to surf the web once again.

The funniest thing for me is how stupidly lazy are these jerks that employ GPT for such things. The printed book example really made me lol.

The simplest thing they could've done is use a service like quillbot to rephrase, just as I used here to rephrase my comment:

-----------------------

I chuckled. For now, this is just hilarious. However, it will grow worse when more new open-source LLMs emerge.
Just wait till the near future if you thought people were naive enough to believe counterfeit comments from bots. The post-factual/post-truth age has arrived. Only isolated truths will remain when the internet ceases to be a reliable source of knowledge (like, ideally, Wikipedia, but even that is debatable). The remaining material will be an ocean of useless data. We'll have to relearn how to navigate the web, just as seafarers are specialists at navigating the seas.

The most amusing thing to me is how exceptionally sloppy these idiots are that use GPT for such things.
That's probably true for most kinds of NN architectures, including convolutional layers and older recurring architectures (LSTM, etc). Fully connected networks do not seem to be a necessary and certainly not efficient way to represent the mechanisms that operate in the "real world", so clever way to make the networks sparse is an important key.

But it's equally important to create architectures that allow efficient backpropagation of errors.

It does seem like transformers are pretty good at both, already.

I kind of hope we're not getting much something radically better anytime soon, because it seems like AGI is already approaching faster than we can prepare for.

Then again, I would expect that someone somewhere is already using transformer based networks to develop some brand new architecture that does in fact provide such a leap.
Although only tangentially related, one thing that you can do right now is to take good care of your skin!
A basic skin care routine is easy and doesn’t take much longer than brushing your teeth.
Apply a good quality moisturizer to your face in the morning after cleaning your face(apply it while your skin is still wet) and again in the evening.
And just as important, always wear sunscreen!
One critique I have is that this presents a binary option of either full monolith and microservices.

The truth is somewhere in between where you have dependent services large enough to warrant being their own monolith being split off. Breaking up of a monolith is almost never (anecdotal observation after 15 years of seeing this argument surface in every company I've been in) a technical need, but a combination of organizational and business requirements. This is not to say it's never technical, just that it's rare for it to be a reason.

Organizational: The teams are so huge that they prefer their own development cycle, deployment, and rollout safeguards.

Business: Partitioning of products for different SLAs, which is difficult to guarantee when you have a different team introducing some bug every other week that takes down the servers.
Then let me guess. They are all hailing each other with the evergreen "Hi, I’d like to add you to my professional network on LinkedIn.”
They support Power Delivery 2 and higher just fine. I believe the new phones will use 3.0 PPS as well to more aggressively tune for charging speed vs heat.

USB Power Delivery 1 was a disaster, launched years after Apple had moved beyond 7.5W charging. Android phones typically also ignored it, using Qualcomm's proprietary charging tech.

If you want fast charging, use the bundled USB-C cable to charge your iPhone rather than the USB-A ones from years ago.

To flip it around, what advantage do you think one gets with official Apple iPhone chargers? Do you know of any evidence that Apple promotes their chargers working better than others? And if none exists, why would they sabotage customers who were never educated that hypothetically only Apple chargers charge fast?
Those exist. Main application is military/police radio, because you can use them even with a gas mask on.

Disadvantages are that you need to fully speak (whispering and sub-vocalizing doesn't work), and your voice sounds kind of funny.

Keywords is "bone conduction microphone" or "ear bone microphone".
If we can know exactly where a particular object’s lifetime ends, then indeed we can write more efficient programs than possible with a GC, but that in the general case is not something we can determine at compile time (Rust’s lifetimes are a strict subset of the general case).

Anything more dynamic will require some “ad hoc, informally-specified, bug-ridden, slow implementation of a GC”.
In neuroscience, predictive coding [1] is a theory that proposes the brain makes predictions about incoming sensory information and adjusts them based on any discrepancies between the predicted and actual sensory input. It involves simultaneous learning and inference, and there is some research [2] that suggests it is related to back-propagation.

Given that large language models perform some kind of implicit gradient descent during in-context learning, it raises the question of whether they are also doing some form of predictive coding. If so, could this provide insights on how to better leverage stochasticity in language models?

I'm not particularly knowledgeable in the area of probabilistic (variational) inference, I realize that attempting to draw connections to this topic might be a bit of a stretch.

[1] The free-energy principle: a unified brain theory: <https://www.fil.ion.ucl.ac.uk/~karl/The%20free-energy%20prin...>

[2] Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?: https://arxiv.org/abs/2202.09467
That's cool in Gartner research theory land, but Prius and hybrid Camrys confirm its nonsense.
> on the other the endless sea of enterprise customers representing a burden for compatibility

Ah, those users. Users who want their OS to stay firmly in the background and let them get on with their jobs, and who aren't actually that bothered about "feature" upgrades every month or three.

Something is very wrong with a business when a big proportion of the customer base is viewed as a burden on the product.
What it Means to be Human: Blade Runner 2049
> Sideloaded apps bypass the app store, but you still need a central entity that has the notarization control/ability to revoke. And of course notarized software is still checked by that entity (e.g. Apple for notarized macOS apps).

And this is precisely what people are calling for on iOS, to make it more like the Mac. It's assumed that Apple would require Developer ID and notarization for sideloaded iOS apps. Thus, sideloaded apps could be revoked just as easily as App Store apps.