skysight-inc/HackerNews huggingface dataset:
Anything that you have created that you want to share and can spark interest or debate. Say an application of some sort, a blog, some cool hack.
Ask HN: Who are you”, “Who is this” texts
I've been getting these kinds of texts more often. They are probably scams or phishing, but It got me thinking, If your phone or the cellular phone network was inadvertently making extra copies of texts and sending them to the wrong people, how would you ever know?
Tinygrad is python only right? Can it provide gradients during C++ runtime as well? ONNX runtime have multiple language backends for inference.
This is what I use for a side project as well. I don't really need features beyond that and it's worked well enough for me.
I saw an interesting theory that "depression" is a set of signals pointing us to solve a problem: it lets us skip eating, because we don't feel hunger, and sleep, because we have insomnia, and other things we would otherwise want to do, since we have trouble caring about anything. It lets us think about one problem for a long time without being distracted, because we ruminate on it. We don't get discouraged by failures, because we don't care about anything the way we usually would.

It's sort of like a computer down-clocking when it is overheating.

The problem comes because there are a lot of different mechanisms that can trigger that set of circuitry. So when depression is triggered by grief over a death, for example, no amount of time and energy and not eating is going to bring them back. And sometimes it wasn't kicked off by anything in particular at all, or our brain gets stuck in that mode even after whatever kicked it off gets solved. At that point there is a tendency to look for a problem that is so overwhelming it can explain why we ought to stay in that mode, whether or not it is being useful to us.

I like this explanation because it matches my experience. Personally my depression was because I had undiagnosed ADHD: I was constantly grieving my inability to accomplish things I wanted to do and enjoyed for no conceivable reason. And in this case it even actually kind of did its job: I stuck with the medical profession through an unbelievably long journey to getting that diagnosis and the easy and extremely effective treatment, because I had trouble caring about anything including my repeated failures to get any help at all from what medical professionals offered.
Yup, the current dominating factor is resistance, not the Landauer limit.

Biological systems supposedly operate at about one order of magnitude above the Landauer limit [0], i.e this is completely practical and has been happening before we even made computers... we probably wouldn't exist without being this efficient, imagine how much energy our cells would need to consume and emit as heat if it were similar to a CPU of today!

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5686401/
"I'd advise tempering the transistor-based optimism with just a skosh of fusion energy skepticism." --Pohl Longsine

Nice phrase, useful many places and I might well do that. (Unless objections are raised).
Shallow complaint, but same. At least tell me why I want to donate my time training the AI before demanding I do so.
When the first episode of "Walker, Texas Ranger" was aired in France, the French surrendered to Chuck Norris just to be on the safe side.
Are you basing this on walking into stores or like economics or something?

We’re currently in a situation of rising employment rates and dropping inflation.
I had a classmate who did her assignments in Ada. The compiler & linker would bring the school's Data General MV/8000 to it's knees, as it swapped out other processes to make room for it. Every 30-40 minutes we would have a coffee break forced on us.
Not related to the project. Most of the code is unsafe. I really find rust counterintuitive.

This is just a note to myself.
* rust uses llvm as a backend
* rust tries to solve the memory issues commonly found in C bu enforcing a programming paradigm which allow the compiler to detect them at compile time.
* it tries to provide 0 cost abstractions

It works but the code is ugly
I didn't see it like that. It makes perfect sense in the context it's being shown in: a personal wiki system. Even if such a system would be extended to the browser, I imagine the principle of auto-linking based on the user's already-accumulated knowledge would stay. And would be nothing like SEO spam, since it would link back to the user, not to some third party. I would still want to be able to distinguish regular links from generated ones (and the heatmap UI would allow that), and it would make it easy to spot and connect to my topics of interest in a larger body of text.
You build brand new data centres with the latest technology. When a new technology rolls out, new builds always get it, and you start upgrading your newest data centre first. Sometimes you never make it to your oldest data centre.

Data centres fill up. They fill up with important "production" software and associated data housed in the same DC for locality, which never moves and mustn't be shut down. After a while the data centre is full and everyone needs to put their new software in the newly built empty data centre.

Over time a data centre gets technology upgrades later or not at all (say, a new-new networking fabric is invented and starts rolling out before the new networking fabric finishes rolling out). There's a slow decay in terms of service. New data centres have on-site offices of engineers who keep everything running at maximum efficiency, older data centres have a single security guard who receives a daily printout of which machines to press the reset button on while doing their rounds. Eventually an old data centre is turned off all at once.

If they're keeping older servers around longer, they may be delaying turning off the least valuable computers, continuing planning upgrades to 'new' even after 'new-new' is ready and rolling out, or slowing down the invention of new tech. As I understand it, "decommission X many machines due to age" isn't really the model.
> The system also showed costs ranging from approximately a half-trillion dollars to just under 3 trillion.

Holy shit. A 5 second check of Google for GDP shows that the combined GDP of the top 10 countries in Africa is ~2.5 Trilion (If my tipsy brain isn't completely screwing up basic addition)

How the hell would they fund this? Would even China be crazy enough to fund this project?
Vitriol from the moderators & members over there is to blame + attitude over automatic answers from documentation using LLMs

GitHub issues is actually a better place to hope & find answers from people who's code you actually use instead of SO. The only time I go to SO is for obscure Linux/she'll command info
There are about a billion influenza cases every year. This is exactly the attention I'm referring to, where you know a lot about the 750 million COVID cases since 2020 but nothing about the more numerous influenza ones.
The new video doesn't show anything convincing either - Pyrolytic graphite behaves the same way at room temps due to strong diamagnetism.
I think it would still change the world less than computers have changed it. Without computers we wouldn't have this conversation. So much in the modern world is basically impossible without computers.

Superconductivity will for sure enable some innovations and could change how we are building power grids, but I don't see it changing the world to the same extent.
https://archive.is/0H3kA
Just like what we are doing right now, every one is naturally engaged, expressive to their opinions, support others when they ask questions, and the normal communication. LinkedIn on the other hand, is the opposite, one way communication, so much overly positive feedback that it sounds like bots, and if you question or provide a constructive feedback it will be seen as a negative one, and most people aren’t naturally engaging because they are afraid of any consequences like being fired or similar.
>I'm open to any theory of change - I've been trying to come up with one for a decade, and I've had thousands of conversations about it.

Same, and I've only found one which works.

Move.
How would an APU, such as 5700g with up to 128gb of system ram perform when allocating it as vram? Is this a cost effective way of using running this on a budget?
The proper way to study charts is to look at price action only. Moving averages, RSI and the like are all lagging indicators. The trade is already over by the time the signal hits.

Actual TA is based on human psychology. Imagine a lot of people are buying at $1 and price pumps and then drops. Now imagine the price moving towards the $1 again. There is a high probability (not certainty) that price rejects that price point. There will be people who want to get out at breakeven because they didn't have stop losses.
On and off since around when Trent Reznor first joined- funny I only lasted a little longer than he did post Elon.

I didn't think I cared but I kind of do. It is sad Elon is such a disappointment, but that's not new and I'd moved on. The rebrand is sad because it feels really dead, now. Twitter was fun once.
# usage: $0 < 1.htm
# usage: $0 id 1.mp4
# example: $0 p0g28ctd 1.mp4

z="https://open.live.bbc.co.uk/mediaselector/6/select/version/2.0/mediaset/pc/vpid/$1/format/json/jsfunc/JS_callbacks0";

if test $# -eq 0;then
tr -d '\134'|yy059|grep -C1 kind\":\"programme;
fi

if test $# -eq 1;then
ftp -4o\|yy059 "$z"|less;
fi

if test $# -eq 2;then
x=$(ftp -4o'|sed -n "s>.*http://vod-hls-ww-live.akamaized.net>http://vod-hls-ww-live.akamaized.net>;s/\".*//;/http:\/\/vod-hls/p"' "$z");
test $x||break;
ffmpeg -y -i "$x" -c copy $2 2>/dev/null;
fi
It's just a proposal. What's more likely is that it's the framework for a 20 or 50 year plan to slowly unify electric grids.
Google could have designed and licensed Android in such a way that devices would receive direct OS updates, with the manufacturer's custom garbage as a strictly separate layer on top of that. It's not a trivial challenge, but it's absolutely doable.

They didn't, and the result is a lot of e-waste and vulnerable devices.
Unfortunately you're not arguing for what you think you're arguing for. Food is not metabolized via combustion. However there is a way to measure the energy the human body gets from food and that's to measure the amount of ATP generated by the metabolism of a single molecule of the constituent parts of that food. And it turns out this doesn't track calories very closely at all. I'm fact, fat produces nearly 2x the ATP we would expect, except in the absence of oxaloacetic acid, in which case it produces a mere 16% of the expected value, implying that utilizing OOA for things like glycogen production can force your body to burn loads of fat for the same metabolic output, completely invalidating CICO.
Wait. Those aren’t as mutually exclusive as you make it out to be.

Bigger grids are more resilient than smaller ones, not the other way around. California and Texas have fairly isolated grids for roughly the same amount of people. Compared to the Midwest or the Northeast or Southeast, larger population areas, their grids fare far worse despite having on average better weather.
I frequently push back on these complaints.

Does the library you pulled in to manipulate an array polyfill newer array prototype functions? If so it likely fixes issues in older browsers.

Does the library get tested by a much larger QA / QE user base than your ad hoc code? Importing a library might benefit you from not having to reinvent the wheel.

Does the library have unit tests and documentation? That is likely less work for your team to deal with bugs and maintenance.

In practical terms, I doubt I have ever written a line of code that nobody else in the world has written. In that sense, I know that my value to my company is to judiciously choose when to write code in-house and when to import. And the heuristic is way different than what you describe.
I've also found the 1.5 GHz in-order VF2 does remarkably well vs the 1.85 GHz OoO LPi4A on software build tasks, though not as extreme as Richard shows.

I'm lazy and using the original Image-55 on my 8 GB VF2, and the Debian that came preloaded in the eMMC on the LPi4A. My mass-production LPi4A arrived yesterday, I haven't tried it yet, tests are on the beta board that arrived a couple of months ago.

On pure CPU core + L1 cache tests (e.g. https://hoult.org/primes.txt) the LPi4A is considerably faster.

The LPi4A is also much faster on memcpy tests.

https://hoult.org/TH1520_memcpy.txt

https://hoult.org/JH7110_memcpy.txt

My build test is an RVV 0.7.1-enabled snapshot of the gnu toolchain (gcc 9.2) that I use on the TH1520 and SG2042 (and various chips with C906 cores with RVV 0.7.1). Newlib, non-multilib (just rv64gcv) build. I used the same Samsung 2 TB external USB3 SSD drive for src/build trees on both boards. https://github.com/brucehoult/riscv-gnu-toolchain

VF2:

real 107m52.116s
user 348m49.800s
sys 16m27.529s

LPi4A:

real 122m16.099s
user 400m17.737s
sys 23m8.567s

Neither board is thermal throttling at all. I have the supplied fan sitting loosely on top of the LPi4A CPU (I also try tests without the fan ... it throttles a lot, taking 166m on this test). The VF2 is without a fan -- doesn't need it.

The LPi4A has more L1 cache, but only 1 MB of L2 vs 2 MB on the VF2. But the LPi4A's RAM is twice as fast as the VF2's L2 cache! At least for streaming -- I haven't tried random.

It's a mystery.
Maybe they meant Cut and Run?

I like to say “Doesn’t Pass the Mustard” just to annoy people
China is involved; it's a "do ut des" scenario in which China gets resources and Africa gets low cost energy. That's the reason I'm sure it will work, and it's one of the chances the West royally missed there. Now it's all up to China, Russia and possibly Turkey.
That would be contract work. A company employing another company who is issued a 1099 tax form.

The company could hire you the same as they could contract an outsourcing firm, but it’s not the same as direct employment.
There are easier (and cheaper) ways for China to get control of a national grid.
Update: Paddle support got back to me in 24-hours and their emailed link cancelled the payment and put me in touch with an AI that instantly resolved the situation and knew what I was talking about. I was impressed.
As far as OP goes, matching on n-grams is a reasonable & fast idea, but the presentation is not good. The problem with lots of links is that they are a tax on the reader's attention and limited decision-making reserves; unfortunately, not having links is an even greater tax, because now one has to exert much more effort and use one's fingers as well as one's eyeballs to see if there is anything at all worth looking at.

My suggestion would be to relegate this to the authoring interface, and just show regular links to readers. This is still bad for authors, however, and so my suggestion would be to explicitly annotate 'possible links'. For example, you could draw an underline under all words, count how many hits that word would have across all possible n-grams, normalize document-wide, and set the opacity 0-100% based on that. So you would see most words have no underline (0% opacity), dubious links get hard to see lines, and then various proper nouns and titles and technical terms would have heavy dark underlines; the author can then easily see which ones might be viable links, and right-click or hover to check & instantiate. And this could be set to automatically hyperlink at certain % or run in an interactive modal to approve/disapprove hyperlinks as a final editing pass.
It probably depends on if the correlation between consumption of the media and going on to actually harm children is causative to any degree.

There's probably a benefit to devaluing the market for the material, but I'm skeptical how common that people who wouldn't have been harming children suddenly began harming children just to turn a profit with generating media of it.

So even with artificial CSA material undermining a market for real CSA materials, there's probably no net change to actual victimization at best and an increase at worst.

There'd need to be a casual inverse relationship between consuming CSA materials and acting out on those urges (controlling for the urges existing in the first place) for this to actually reduce children being harmed, which AFAIK is the exact opposite of much of the limited data to date.
And that doesn't even begin to account for how much mass we eat which is utilized structurally or excreted without being exhausted. CICO works for thermodynamics, not dieting.
The article didn't mention UTF-9 or UTF-18 for when you want to do unicode on your PDP-6 or Univac. https://datatracker.ietf.org/doc/html/rfc4042

A reviewer for a scientific paper I wrote asked if I had considered the impact of UTF-9 on what I was doing. To this day I don't know if they were trolling me.
It's a nice idea in theory but won't they just funnel the money to their families and such, instead of making things operate well? I heard that's been a big problem in South Africa for example.
I'm going to say it again: ai is the next crypto.

Any good ai scientist knows that research on ai is not sufficient and spent yield interesting results, so probably very little to no innovation will come out.

Meanwhile, the climate is getting worse and all this brainpower could be used on nuclear power, agriculture, construction, building trains... It's the same problem when people would go work on wall street instead of studying physics, it's a huge waste.
Well, I teach English as a second language in a non-English speaking country. I often used short essays and diary-writing for homework. The students have had lots of English input over the years, but not much experience with output. So, writing assignments work out very well for them. Alas, with ChatGPT on the rise here, they no longer have to write it themselves.

The upshot of which is, the useful writing assignments I used to give as homework will either have to be done in class (wasting valuable class time) or given up altogether (wasting valuable learning experiences).
Maybe I am unique, but especially when you start dealing with many levels of nested directories, it is much faster to grok both the absolute and relative sizes of files and directories with a visual representation versus a textual representation like an indented list.

expanding subdirectories is suboptimal for me, too disorganized and too many directories to click.
We wanted to use ONNX runtime for a "model driver" for MD simulations, where any ML model can be used for molecular dynamics simulations. Problem was it was way too immature. Like ceiling function will only work with single precision in ONNX. But the biggest issue was that we could not take derivatives in ONNX runtime, so any complicated model that uses derivatives inside was a nogo, is that limitation still exist? Do you know if it can take derivatives in training mode now?

Eventually we went with pytorch only support for the time being, with still exploring OpenXLA in place of ONNX, as a universal adapter: https://github.com/ipcamit/colabfit-model-driver
Absolutely wild how often Scott writes a much better articulated version of a take I've already had.
Ask a human.

Failing that, ask an AI.

There's no way to take an arbitrary utf-8 string and shorten it to <= 4000 bytes without losing something. Heck, even ASCII has \r\n which can leave you in a bad place if you cut it off in the middle.

Even if you do the Unicode stuff right and make sure you don't break a grapheme cluster, you're still cutting words in half, which, if you're doing something like pulling AP headlines and truncating them to fit on a screen, can have embarrassing consequences for one like 'FDA Chief Exposes Butter Industry Corruption'. Even if you make sure to break on word boundaries you're still at risk of turning 'US Navy Fires Nuclear Weapons Program Chief' into 'US Navy Fires Nuclear Weapons' on your news ticker.

Strings are language. Language is hard.
I’m up in Oregon, and I pay .076, verified 95% carbon free. The rest is probably mostly renewable, just not guaranteed.
They date back further than that. In WW1, French troops were mostly shooting full copper/bronze shot. The reason was that it was cheaper and easier to mass-produce solid copper bullets than it was to increase the production of jacketed bullets by a similar amount, and with Germany excluded from naval trade, there was suddenly a lot more copper available on the market.
It is interesting to me how enthusiastic people are about natural language interfaces despite presumably having worked with requirements documents already (which are a programming language compiled by programmers).

If we want our systems to behave gracefully and predictably, they aren't going to be built in natural language: they are going to be built in a system with locally-specific semantics.

To build that with natural language, I would expect to see a conversational system that can request clarifications for ambiguity and negotiate local, specific definitions of the words it is using, similar to Domain Driven Design today. But for that to work, it will need semantic modeling not just the correlation in LLMs.
Pretty common. You can inspect the script before piping it.
One reason would be that LLM's don't tend to output verbatim pieces from their dataset (unless explicitly prompted to do so). This is made further complicated by the "temperature" setting allowing users to make output even more "creative" than its dataset.

In OpenAI's case, its writing style usually comes from OpenAI's in-house dataset they used for RLHF. This is what gives it the ability to chat and respond with its signature (perhaps overly formal and apologetic) tone.

Although it can be used to write in other styles, sometimes it will refuse to because of this.
For comparison, US meat market revenue is about $125bn [0] and dairy is about $41bn [1]. Which means a rise in meat prices if subsidies are rebalanced towards veg, but not an orders of magnitude rise.

[0] https://www.statista.com/outlook/cmo/food/meat/united-states

[1] https://www.statista.com/statistics/196420/us-farm-income-fr...
I think I qualify for a level 1 membership.
That's Show HN
got it. Should it be anonymous or transparent?
It's possible that pressing backspace needs to ADD bytes.
Yes, I never said that CBT is completely correct in every regard. I was just shocked to see an articles based on a book that mentions souls on Hacker News. CBT is actually researched and quite effective unlike the book of former chakra practitioner Karla McLaren. We cannot change emotions directly, we can only change our thoughts and it will change our emotions. I recommend reading Beck directly in addition to counseling, it really helps. Sadly some psychologists are not great. Wish you the best!
Take San Francisco to Los Angeles, for example. Let's say you're flying. It takes an hour to get to the airport, and you have to be there two hours before your flight. The flight takes an hour. Then it takes half an hour for your baggage to arrive, then another half an hour to get your rental car, then an hour to drive to your destination (if you're lucky). That's six hours, which is the same as driving. High speed rail (real high speed rail) would be faster than flying (or driving).

But let's say you're going on vacation. Let's say you've got a wife and two kids. If you fly, you need four tickets. Same with rail. If you drive, you only drive one car. That shifts the economics massively.

> Indiana has the population of Denmark. Texas is almost twice as populous as The Netherlands

Indiana is 36,000 square miles; Denmark is 16,000 square miles. Texas is 268,000 square miles; The Netherlands is 42,000 square miles. The populations may be similar; the densities are not. That matters a great deal for this discussion.
https://archive.is/5jCa8
It would be helpful if people put the unit of measurement in the title for articles like this