skysight-inc/HackerNews huggingface dataset:
I built a site using Material in 2018. Never again! I have to imagine that Google just leaves it as unmaintained, considering these issues are still happening.
I'd like to see some tooling based on this ...
In Caprica, the Battlestar Galaticia, spinoff - a dead character was embodied in a robot and trained on social media content... But in the real world, who owns your LLM dupe output after you die?
I can aver that the UI of both Vi and Emacs are highly distracting to me, because I spend my time swearing at them trying to remember what mode I'm in, whether I'm editing text or accidentally invoking editor commands, trying to remember their ridiculous non-standard keystrokes for saving or cutting or pasting or whatever.

Because they totally fail to follow the UI guidelines introduced in the early 1980s and adopted across almost all OSes by the start of the 1990s onwards, they are extremely distracting and constantly get in my way.
The title of this post is so ironic given ChatGPT’s tendency to stop in the middle of its responses!
Sounds reasonable to me. There are 2 outliers, and the rest are right around average.
China records first human death from H3N8 bird flu, WHO says
I would not discount the potential of LLM's to support research level mathematics. There's interesting research going into combining the LEAN theorem prover with LLMs, e.g., this recent paper: https://arxiv.org/abs/2202.01344

"... automatically solving multiple challenging problems drawn from high school olympiads."

This combination of GPT and LEAN is the first thing that has finally got me really interested in the potential of LEAN. And LEAN very directly addresses the "bullshit" issue, since it formally verifies whether or not a proof is correct (it's like a compiler like Rust, but for mathematical proofs).
>16 cores & 32gb of RAM for less than 25 euros seems like a bargain.

16 cores doesn't say much. It depends how many DMIPS those cores will yield.
The pattern is completely easy to do.
This is weird compared to desktop operating systems though. Windows 11 compatibility restrictions aside, most PCs don't require that their OS be customized for their specific hardware. At most, they need a few drivers sourced separately to be fully functional.

In a sane world, I could just install AOSP on any phone without a customization step, and download drivers from the manufacturer's website if it has any weird hardware.
I still have an Asus android tablet with an Intel CPU, circa 2014.

It wasn't that great then and it deserves death now. Zero ability to upgrade or get third party OS on it due to those processors not taking off.
Ironically, interacting with ChatGPT still comes with a lot of human-like friction and imperfection.
Islands of consciousness from the ocean (but of unlost possibilities in Tarkovsky movie)..
wow. did you just call out your friends for being nerdy and say the nerdiest thing I've ever heard?

Not that it's not a cool idea, though.
They do though. They are just drowned out in a sea of blogspam/marketing and (recently) ai generated content.
This definition confuses cause and effect.

A person believes something that results in superstition.

This definition states that superstition creates itself rather than being the result of external factors.

As a finer point, laws of nature could themselves be superstition. Godel's incompleteness theorem proves that we cannot prove all the laws in the universe. As such, we assert a truth that we know we cannot prove then act as though it must be true.

Even if you accept that as incidental, we know conclusively that recent discoveries (eg, James Webb showing unexpected galaxy sizes) show that much of our current "laws of nature" are definitely in conflict with reality making scientists superstitious in practice as well.

Finally, it is of no little interest to me that so many theoretical physicists are "simulationists" where they believe the universe is a simulation where the creators can exert complete control, but they still hold the belief that these creators are not actually gods (even though that is unprovable and for us would amount to a distinction without a difference).

Perhaps humans are simply hardwired for religion.
I got some interesting results from this that I wasn't expecting. I like that it found every title I searched.

Though the auto-complete kind of went off my phone screen, I knew I should scroll down to check.

Thanks for sharing it, will use again for sure.
NPR hired him away from the USAGM; "selected by NPR's corporate board". https://www.npr.org/2019/09/05/758047287/npr-names-veteran-m...
MIT OCW Signals and Systems is excellent:

https://www.youtube.com/watch?v=6xaaeop7gJ8&list=PLADC1A1B7F...
Nature is healing. Life finds a way.
Intel 7 isn't their 7nm process, but their renamed 10nm process.
yes, and unfortunately almost all of the servers are unable to cope with even a moderate amount of traffic

Twitter is a far better user experience in that respect, to the point that I actively avoid clicking mastadon links now because they fail so often
Buffett: Do not panic about U.S. banks and deposits
Eagerly awaiting these in Ashburn! Almost double the CPU/RAM in most cases for the same price.
Twitter will probably, eventually find a more appropriate label for high-quality public media sources, and NPR will probably find their way back, since it doesn't cost them anything. On the other hand, the current kerfuffle just scratches the surface of their current labeling approach's weirdness.

Propublica's twitter page is labelled "Media and News Company," but that's a label they applied to themselves, not something Twitter applies. Okay, fair enough. Some other for-profit or nonprofit news organizations don't have any labels at all, so clearly it's not mandatory. The distinction between something like Propublica and something like The Washington Post is significant to someone who cares about news, but maybe not to Twitter's censors.

Voice of America is still on there and is, reasonably, labelled "government-funded media." But BBC is not not labelled at all, with any label, because... Elon Musk liked their reporter? Or something?
The FBI investigates industrial cybercrime. They are more likely reporting on what they see in the wild. And it's probably coincidence if the other TLAs are using the techniques.
2*vCPU, 4GB RAM, 40GB disk and 20TB traffic for €4.52/month is a steal. €3.92/month if you go ipv6 only.
>This is exactly the one use case where cryptocurrencies do work, ... Doing non-centralized transactions is what it excels at.

Isn't it backwards? If I have a few (officially issued) colored pieces of paper in my pocket, I can give them away in exchange for other stuff, but if I have a cryptocoin in my pocket, there is no way I can exchange it for anything unless another party (or a majority) agrees to that exchange.
> So you are saying while he worked there he didn't do anything about the problem, and now that he's gone he's shit-talking his old employer?

Huh ? When did I say that ?

I posted what I did because the OP made it sound like filippo was still working at Google.

I just wanted to point out that as of next month it will have been a year since filippo left.

Beyond that, I was NOT proferring any sort of opinion on what fillipo may or may not have done whilst wearing the Google hat.
This was great, I'd love to do something like this but all my group chats are on WhatsApp or Signal!
The fact that you have guiding principals already puts you in the top bracket of the firms. Kudos!

I wouldn't disregard people with short stints, there is so much context out there. Obviously the higher salary hunters is a concern but I have 3x -> 1 year stints on my resume not because I am a terrible human being but others, layoffs, loosing visa, toxic boss, had to move countries due to family illness and all of them in the end ended on good terms. Just saying, give people a chance to explain.
I've benchmarked ARM systems vs other processors.

On my workload, using Intel as a baseline. AMD under performs relative to standard benchmarks. ARM over performs relative to standard benchmarks. I have seen good performance from Ampere, particularly for the price.

However, ARM architecture complicates my workflow significantly. I've found that they are not worth using it right now due to compatibility issues, easier to just stick with x86 for most things. Dealing with required missing packages just kills the value.

My system isn't generally compute limited anyway. IOPS and egress dominate rather than MIPS.
What does the company that owns Java offer? Their Java IDE is https://en.wikipedia.org/wiki/JDeveloper and nobody uses that. The latest release came out in 2019. Everyone is using IntelliJ IDEA or perhaps Eclipse.

What does the Python core community offer? IDLE is ugly, is barely an IDE, and didn’t have line numbers until a few years ago. Everyone is using PyCharm or VSCode.
I will thirdly recommend this course! Very fun and informative
That's true. Single file deployments were also supported in .NET Framework, only a bit obscure by registering a callback for the assembly loader and explicitly bundling every dependency as a resource in the build process.
This blog had a great read that I half-understood on how inflation is already baked into a relatively long-term time horizon due to how interest rates affect housing costs.

https://jbconsulting.substack.com/p/on-shelter-futures-part-...
I'm looking to improve the UI and recommendation algorithm. If you're in the market for a new backpack for work, please give it a go.
One of the chat support people told me that they were going to do that pretty soon. Haven't seen anything though.
That's not correct. Otellini did not serve as CFO at any time and did not have a finance background. Please check your facts before making a comment like this.

Edit: I see you've changed your comment without acknowledgment. Still wrong 'sales and marketing' isn't 'bean counting' and Otellini had extensive 'tech' experience.
This is one of the best, most detailed write-ups of how to fine-train a large language model on custom text that I've seen anywhere.
Thanks--these are good criticisms. I agree with you that the strength of the Water Knife was more in the conceptual parts and the imagined world--often these were just mentioned rather than fully built out, like certain events that are just shown as news footage while a character is waiting in a lobby.

Termination Shock was similar.

I would definitely like to read more speculative fiction on this topic!
you have better explained my own point, haha
You can provide a lot more USB outlets than it's feasible to provide regular AC outlets. If they're USB A outlets you know they're only ever going to draw 7.5W give or take max so you can slap many more of them on a single circuit than you can AC outlets where people could plug in a bunch of 60+W laptops or USB-C PD chargers.
The main problem I'd think is that by being "virtual" you never really quite know if you're seeing how it would run in "real life".

Personally, if I were to do it, and I had some sort of load-balanced application that uses multiple backends/frontends/whatever, is balance across the two and compare over time.

And to be 'fair' you'd want to compare similar pricing.

Or if you had a consistent group maybe try a Minecraft server and move it between the two every week and see what people "feel"?
Also, take more videos of everyone as they will very soon be able to create very accurate 3d renderings of people just from videos. More training materials the better, make sure you get full views with different aspects , movements, angles and expression. Creepy, I know.

Then you can interact with these recreated avatars on your vr/ar head sets. Good for kids as when they grow up maybe you can recreate some old times lol
When Trump threatened to cut their funding because they weren't friendly enough to him, their funding increased from donations quite a bit. They're making content their listeners want.
You might start to get some kidney toxicity effects if you consume more than about 3 - 4 grams of protein per kilogram of body weight per day. In practice it's going to be difficult to get that much unless you're constantly pounding down supplements.

https://peterattiamd.com/strong-convictions-loosely-held-2/
>I'd like to see how a vCPU compares between arm64 and amd64

That depends on how many vCPUs are they running on each physical core for both x86 and ARM.
Being biased or having a specific political stance is not the same thing as state affiliation; it's just ... (dis)agreeing with policies. Were they "state affiliated" during the Trump admin?

The harping on their bias in this thread is ridiculous, because unless the government is telling them what to write, it's entirely irrelevant.

> NPR used to be a great news source in the 90s and 2000s. That hasn't been the case since about 2012.

SO FUCKING WHAT. Maybe they're useless garbage now, maybe not, but either way that still doesn't make them a government mouthpiece.
If you have access to them a much more informative datapoint would be `openssl speed rsa` or `lzbench`. Sysbench is just a stunt it doesn't indicate much at all.
I really hope this is the end of complicated reactive frameworks! I love the old blocking spring controller paradigm, thread local and so on. It makes things much easier. Never liked webflux, so complicated and hard to debug. Simple things become a project!

Virtual threads to the rescue!
Have their been any successful major companies run by former CFOs? My experience here is that it is often a death sentence via a long road or stagnation.
I mean it as in "much better than average", of course.
Show HN: Reactive Library for React.js
Hey guys! After seeing that reactivity is becoming popular again recently in react ecosystem, I decided to revive a project that I've created couple of years ago, addressing many quirk with hooks api. I see great benefit using it for my own projects. Give it a try and let me know if you like it :)
JetBrains actually ended up with this model after a lot of pushback when they tried changing their model a few years ago. But it's good that they listened, and now are even touted as the go-to best-practice.
Mathematicians Find Hidden Structure in a Common Type of Space
Well, the system could be entirely individualized. Not like an ad blocker where you download a list of neer-do-well urls curated by unknown people.
Read the privacy policy. Big fan.
To an outside observer San Francisco is turning into another Detroit.
Knowledge is just a series of words in a highly probable order, it will work. The jury will be easily convinced.
If you include a sense of time passing (i.e. continuous operation) and memory with respect to that time passing (persistence of events), maybe.
> likely to be detected rapidly -- "Shit my device is fucked, better tell airport staff"

It's not charging - but maybe it was just a problem with that port on your laptop. Better try the charger in every one of your laptop's USB-C ports, just in case....
> Ironically, Tao's post convinces me that AI, though amazing, isn't really the solution. Better UX and data quality is. Why was the data so disjoint to begin with?

Because the world is not a database. His source were formats meant for Human consumption, not machines. This will never change, people are lazy, greedy, or fear "data leaks", so we will never have a machine-first-format that everyone will use.

I mean, that guy is using latex, others have markdown, or org-mode, or Microsoft Word, those all are not meant for easy scripting. This is why AI will be such a dealbreaker, because it will close this gap, make human-formats to machine-formats when neccessary.
this is the stupidest debate that I'd be willing to read an entire transcript of.
Thanks, that's good news, and looks like a step in the right direction.

they say:
>>Embeddings are numerical representations of concepts converted to number sequences, which make it easy for computers to understand the relationships between those concepts.

Beyond that claim, there is nearly no information on how this works, and the examples give hints of not any kind of concept, but an additional abstraction layer of clustering words with similar meanings. It is not the abstraction of an understanding, but a more far-reaching thesaurus lookup.

(edit) It's an astonishingly good map of words, and this makes it better. The clusters may sort of map resembling concepts, but the kinds of errors it makes show that it's not actually wielding concepts to think.

That said, a journey of a thousand miles begins with a single step, and this looks like a good step.
Because Java did not have a good async model for decades, most Java apps are thread-intensive (thread-per-client) and there's an enormous amount of code that can't easily be refactored into async. Light-weight threads help save all that thread-per-client code from the ash pile of history.

But in general it's best to write async code from the get-go because that forces the programmer to compress application state rather than inefficiently smear parts of it on the stack. Better state compression (because smaller stacks) -> smaller memory footprint per-client (or whatever) -> faster (because of higher cache hit ratios because of less cache thrashing because fewer memory accesses).
No, here they were both the same type, but they were cast to int anyway.
Does anyone know if there is ssh/root access and what OS the servers are running?
So... are the "it's transient" people owed an apology? (Edit: no, of course not, see replies for all the new reasons why that don't match the original analysis. Partisan orthodoxy wins again!)

This is pretty much what everyone serious was predicting. The inflation burst was driven by a savings glut (caused by the pandemic and excess assistance programs), a hiring boom and attendant wage pressure, and supply side shocks due to sanctions against Russia and a late pandemic wave in China.

Everyone one of those factors could be seen to be temporary at the time. And... now that they're all (mostly) behind us, inflation is dropping as expected.

But yet everyone had elaborate stories about how all that stuff didn't matter and how this was really due to (a somewhat partisan take on) monetary policy. Is anyone maybe revisiting their priors?
I think the Orville has something to say about how that turns out. (S02e11)
Financial Markets by Robert Shiller
https://oyc.yale.edu/economics/econ-252
Heh, my first thought was to run these photos through an upsampler to see what they hallucinate.
It's also interesting that we don't see the state affiliated label on SpaceX yet.
Dear guy who brags about ban evasion in his profile on his 3-month old account: thanks for getting me to check if HN had a block button.
$10K - no, but if he'd be willing to trade shares of BRKA in exchange for it ... I'm listening.
> maybe I’ll make it just in case I regret not doing later on

Maybe. But please consider the question of consent. If I agree with my partner that we are not doing this and then he/she does it behind my back I would feel violated.

What is probably a lot better idea is to store the conversations securely for the future.

Lot less icky to get consent to. Protects against all the mundane forms of data loss, like dropped phones, fire, flood, global entity blocking your accounts, etc etc. And! You still have the option to build a model at any point. Presumably an even better one, since the tech is likely to improve in the future.
Small nitpick:

if !encountered[elements[v]] == true {

is a double negative and hard to understand. I'd write it as

if !encountered[elements[v]] {

or if you must use the bare bool,

if encountered[elements[v]] == false {
The solution is to weigh the data by its engagement. If in a hypothetical scenario the internet is littered with 90% Ai generated trash, then human users will only be engaging with the 10% of valuable content, which may have been created by humans or AI. By training only on this data (or, more smoothly, somehow weighing your data by its human engagement), you have a reinforcement learning signal from an average of intelligent internet users that can steer you towards a good/better model.
What dining in the dark does to your tastebuds
bookshop is nothing but a store front for ingram distribution (the monopolistic wholesaler in the US). they give a small cut to independent booksellers. debatable whether it's worth it for the bookstores or not.
The Pi isnt bad for certain things. And can still be had for fairly cheap.

I put one in my parents house for remote support, some small postfix and NUT/UPS shutdown goodness.

I usually just get a canakit on amazon for under 200 bucks and it comes with most of the utilities, cases etc needed to flesh it out.

Still thinking of making a Sonos style speaker system in the house with some Pi's and some JBL charge speakers or something which can always be used as a BT speaker and even setup in tandem for stereo. Those things are solid. I use them on the boat, when playing along to songs, even when setting up a projector in the yard for the kids to watch a movie in a "special" setup.
These are VPSs. You can SSH, use the root user, and when setting up you can choose what OS to use, they give a list or iirc they let you upload your own ISO.
https://www.reddit.com/r/teslamotors/comments/nfw6ls/break_p...

why say things that are so easily falsifiable?
100%, thanks for the feedback!
Oh yes. This would be a board with an MCU, HDMI output and USB input for a keyboard and, perhaps, a mouse.

Preferably a LK501 layout keyboard ;-)
>how long before AI friends are more interesting and stimulating than any real person would be

why would this ever happen?
Oh, neat. We actually ran WordPerfect for SCO Unix back in the day. This was on a dual-processor Acer / Altos system, with a whole bunch of serial terminals. That was the first Unix system I had ever purchased! Though one of the two CPUs had to be disabled because of OS stability issues.

I wanted to use Livingston Portmaster Ethernet terminal servers, but was overridden by my boss. I eventually got them anyway, because expanding the RS-485 for the serial ports was severely limited.

Overall, WP ran pretty well on the hardware of the day. With Wyse 160 terminals running at 115200 bps, it wasn't quite as fast as on a DOS PC, but still pretty snappy. It even had print preview, because the 160 was a graphics terminal.
Isn't that what humans do?
> It's up there with Veeam backup

Seriously, open source backup, especially in "more than 5 machines" isn't in a great state.

Bareos/bacula is old, clunky and still havent' moved past "just pretend everything else is a tape drive", while every other backup software misses this or that feature or have no central management and scheduling (which is near-must if you don't want to go crazy with a bunch of machines).
When was this? This one really interests me.
It depends on the context. A complicated spider web is just a series of connected strands, but pulling on one impacts all the others to various degrees. The point being, a contextual understanding of the systemic effects becomes important when deciding what to do on each "trivial" task. To the OPs point, I'm not sure it's been convincingly shown that ChatGPT has a strong contextual understanding. (in fact, that's also a major shortcoming of humans when we over simply complex models)
Why would it be difficult to cache static text?
> So... are the "it's transient" people owed an apology?

Not really, the transience predictions were for inflation to ease a year ago.
Oh, I don't care how random it is. My interest is when is it random. Do you only shuffle the deck when "shuffle" is performed, and then the shuffled order is preserved until: cards are (re-)moved; deck is shuffled again; etc? (I.e "real world" model).

Or do you shuffle the remaining hidden deck multiple times (so, not when shuffle is explicitly performed, but on other occasions, for example; at intervals; or, after someone pics the top card; etc)?