skysight-inc/HackerNews huggingface dataset:
>because editing text is horrifically broken, has been since the first iPhone came out

I don't know, it always worked fine for me, and I edit text a lot (writing on the iPad, not coding).

>And the crazy part is: just like this article, everyone overlooks it

Given the above, maybe not so crazy? Maybe you're too fussy?

>Think about how long it takes/ho many steps it takes to put quotes around a chunk of text;

Why not put them when as you write it, in which case it's quote text quote? Is that not what one does 90% of the time?

And if you remembered it later, how slow it is to just move the cursor to start and end of segment? With the spacebar cursor-move mode it's almost as fact as having a mouse.

>to correct a misspelling

Tap on squiggly-underlined word, accept correct spelling from suggestions?

>and Apple (nor Google, as far as I know) has done zero to fix it in years (a decade?)

Do what exactly? What fancy UI you have in mind that solves it?

And if you do that much writing, why don't you just hook a bluetooth keyboard? Then with some shortcuts to jump by whole words/start-end of line/etc, you can fly, as you would on a laptop.
Which ones? I try to learn how these systems work
> Their lawyers are clearly worried about the legal implications of their devices being used to track people and things for illegal purposes

Just that Android devices are not involved in tracking of AirTags, as of today only iOS devices actually share the location of AirTags back to Apple.

They maybe want to change that, but considering the huge amount of volume disparity between AirTags and Google's tags, I assume Apple would have to pay Google for the service of extending their tracking-network...
I purchased a hybrid Carolla for 24k 2 months ago, with features. I think you’re exaggerating a little. It came default with lane centering and Apple auto. For 24k for a car that can al slot drive itself, I felt like it was a screaming deal compared to any electric or ice car I could buy lol.
The reason for the “issues” is that the Python/C API, as opposed to the Python language itself or e.g. JNI, has always been considered an implementation detail of CPython specifically; but because CPython is so dominant, essentially everybody tied themselves to it. That is, it’s once again a monoculture problem. (Then of course e.g. Unladen Swallow predates the wide adoption of NumPy but failed regardless.)
> Bankruptcy in less than five years. Those small reactors are at best very expensive and have very limited usefulness.

If I were them, I'd be talking to the (US) military.

Their reactors are:

> The new generation of advanced microreactors can produce between 1 and 20 megawatts of thermal energy that could be used directly as heat or converted to electric power.

* https://nanonuclearenergy.com/microreactors/

Per Table A-1 (¶A-27), a sustained load (60-80%) of an Army camp is between 1.7 and 5.1 MW:

* PDF: https://www.marines.mil/Portals/1/Publications/MCRP%203-40D....

You wouldn't necessary have fewer reactors (2-4?) than generators (4-8) because of redundancy, but if you don't have to regularly truck fuel to the camp, that certainly simplifies logistics. (Or perhaps as much fuel, as vehicles would still needed, though with 'excess' power perhaps going (mild) hyrbid could be possible.)

I could also see applications in the energy sector (offshore, remote land locations).

Not sure how many 'off grid' communities would be up for a <20 MW power source.
imo a better alternative (did not test on other sites)

yt-dlp -f bestaudio <url>

it directly downloads the audio from youtube and does not require ffmpeg unlike the -x option. moreover, you can specify format (m4a or default webm) like so - replace "bestaudio" with "bestaudio[ext=<format>]"

this only falls short unless you explicitly need it in mp3 container.
I verified on a UK number weeks ago. It was available in the UK for a while already, but not in the EU.
Researchers create 2D all-organic perovskites for potential use in electronics
Someone else in these comments linked a Unitree biped robot demo video, and that has both someone kicking it in the back and punching it in the chest with a boxing glove on to show that it doesn’t fall over. And nothing else - no neutral trip hazard, opening a door in its way, slippery floor surface, gust of wind - only physical assault from a larger humanoid.
What is being calculated with nuclear weapons? I understand it must have been computationally expensive to get them working, but once completed, what is there left to calculate?
Well I would include the blatant self-enrichment in incompetence, but perhaps that is too charitable
Ancient Eastern European mega-sites: a social levelling concept?
They certainly can, but the Californian techno bubble is so entrenched into the western culture war that they prefer to act as a (in their opinion) benevolent dictator. Which is fair in a way, it's their model after all.
Nauseating mode is the default, you'll have to pay extra for a tolerable personality. ;)

Seriously though, I'm sure it's an improvement but having used the existing voice chat I think they had a few things to address. (Perhaps 4o does in some cases).

- Unlike the text interface it asks questions to keep the conversation going. It feels odd when I already got the answer I wanted. Clarifying questions yes, pretending to be a buddy - I didn't say I was lonely, I just asked a question! It makes me feel pressured to continue.

- Too much waffle by far. Give me short answers, I am capable of asking follow up questions.

- Unable to cope with the mechanics of usual conversation. Pausing before adding more, interrupting, another person speaking.

- Only has a US accent, which is fine but not what I expect when Google and Alexa have used British English for many years.

Perhaps they've overblown the "personality" to mask some of these deficiencies?

Not saying it's easy to overcome all the above but I'd rather they just dial down the intonation in the meantime.
I don't see it plausible in our today's social and political situation, but that's not set in stone. Technically and economically it's possible.
I wish we would rather get rid of Dockerfile in favor of what something like buildah does:

https://github.com/containers/buildah/blob/main/examples/lig...

Since Dockerfile is a rather limited and (IMHO) poorly executed re-implementation of a shell script, why not use shell directly? Not even bash with coreutils is necessary: even posix sh with busybox can do much more than Dockerfile, and you can use something else (like Python) and take it very far indeed.
The second part of the subheadline is more descriptive of what this tries to cover:

"Here's what that will and won't accomplish."
Show HN: FluentPal – Using AI for Better Language Learning
Hi HN,

I’m excited to share FluentPal, an app designed to boost your language skills through daily speaking practice. Speaking regularly is crucial for mastering a new language, and here’s how FluentPal helps:

- AI Role-Playing: Practice daily scenarios in various languages.
- Conversations with AI Celebrities: Chat with AI versions of famous people.
- Comprehensive Lessons: 90 lessons for both beginners and advanced learners.
- Custom Conversations: Tailor your own learning experiences.
- Real-Time Translation and Correction: Improve through instant feedback.

We support multiple languages including English, Chinese, Japanese, Korean, Spanish, French, and German.
>I ponder about it.

I did that too.

When it comes to genetics, you have to figure that underlying genetics set the baseline for the ability to respond to both culture & environment.

OTOH, genetics itself is quite fluid and adaptable on its own, capable of responding to both culture and environment over (sometimes unimaginable numbers of) generations not near the scale of a single individual's lifetime.

Making the breadth of what can be accomplished for any one person quite limited compared to what extremes may be accomplished over millennia under conditions that favor the desirable characteristics.

Whether the strongest influence is culture, environment, or both, has got to be an overwhelmingly complex set of variables.

Sometimes the culture is more stable over generations than the environment, or vice versa, sometimes neither one. Sometimes the genetics are more stable too, sometimes not.

Plus you can only imagine how bizarre some prehistoric cultures and/or environments were, and how some of the flourishers or surviviors deviated from others. Especially considering some environments and cultures were more widespread than others, or at the other extreme, relatively to completely isolated for more time than anything in recordable history. With a difference amounting to many orders of magnitude over all variables.

What are the odds that only one culture or environment selected for the hallmark learning, grasping, solving behavior that others are just not going to reach in a single lifetime? And from the variation that can be seen today, what are the odds that some other culture(s) did not deselect for the exact same characteristics?

If there was some lost culture of isolated super-intellectuals in the far prehistoric past, they were all just average people among themselves anyway.

But anything that far back can sure have an outsized outcome if the unconventional course is followed from such an early start, and the deviation from mainstream widens accordingly.

Regardless, I believe it is accepted that nobody is using but a small fraction of their brain constructively, and there are so many different kinds of talent. There might even be a common trend to using only a small portion of a single side of the brain more than anything else. So what.

So just about anybody should be able to mostly double their mental ability in a chosen area, and have plenty of room to spare, still utilizing only a small amount of what they were given to work with.

It's not going to happen unless you put your mind to it.
It is better in my case too; need a RAG open router VS Code extension that can be used with whatever you choose. I tried a few but they are either too expensive (i'm already paying for the AI, don't wanna pay monthly for an extension) or really don't work.
Git Merge Is Back
> "Maybe you're too fussy?"

I agree with the parent. "You're holding it wrong." /s
Yes, but that's the fundamental difference. Even if I closed my eyes, plugged my ears and nose and laid in a saltwater floating chamber, my brain will always generate new input / noise.

(GPT) Models toggle between a state of existence when queried and ceasing to exist when not.
> If a month delay would be so dangerous, Android users, even of new devices would be getting pwned left and right, let alone Android users of device no longer getting patches...Android user of old phone who hasn't been hacked yet so I'm not sure where exactly the dangers are

What are the odds that you'd ever know if you were hacked? If you have root access on your device your odds of being able to see something amiss are probably somewhat better than if you don't, but even then I wouldn't count on it. How many people detected Predator/Pegasus? It isn't just state actors taking advantage of zero days. A zero day gets that malware on your system, but once it's infected how would you know? There have been reports that millions of android phones are infected at the factory. (https://www.theregister.com/2023/05/11/bh_asia_mobile_phones...)

We know mass infections happen (see https://www.bleepingcomputer.com/news/security/over-nine-mil... and https://www.wired.com/story/android-gooligan-ghost-push-hack... and there have been some bold (if unverified) claims that most android devices are/were infected with something (https://www.zdnet.com/article/bt-almost-every-android-device...).

I don't know how you could possibly be confident that your device isn't infected with something. The devices are designed to keep you from having the ability to poke around too much at their internals and the radios make it difficult to monitor exactly what's being sent/received to the device.
> photos can be aged virtually and a single photo is enough

I'm sure AI-based ageing can do a good enough job to convince many people that a fake image of someone they haven't seen for years is an older version of the person they remember; but how often would it succeed in ageing an old photo in such a way that it looks like a person I have seen recently and therefore have knowledge rather than guesses about exactly what the years have changed about them?

(Not a rhetorical question to disagree with you, I genuinely have no idea if ageing is predictable enough for a high % result or if it would only fool people with poor visual memory and/or who haven't seen the person in over a decade.)

I feel like even ignoring the big unknowns (at what age, if any, will a person start going bald, or choose to grow a beard or to die their hair, or get a scar on their face, etc.) there must be a lot of more subtle but still important aspects from skin tone to makeup style to hair to...

I've looked up photos of some school classmates that I haven't seen since we were teens (a couple of decades ago), and while nearly all of them I think "ah yes I can still recognise them", I don't feel I would have accurately guessed how they would look now from my memories of how they used to look. Even looking at old photos of family members I see regularly still to this day, even for example comparing old photos of me and old photos of my siblings, it's surprising how hard it would be for a human to predict the exact course of ageing - and my instinct is that this is more down to randomness that can't be predicted than down to precise logic that an AI could learn to predict rather than guess at. But I could be wrong.
> it's also notable that openai prioritizes coding abilities, whereas meta treats it more as an afterthought (separating out codellama, and zuck confirmed that its not impt for him in the dwarkesh interview). yes we know code corpuses improve general reasoning for llms, but i'm -still- not aware of a definitive paper studying this phenomenon (pls reply here if you do)

IME this approach seems to be working. I don't have a paper, but I can confirm that I barely use GPT-4 anymore. Except for code, Gemini 1.5-Pro just performs better. For complex code, Claude Opus is the winner. For quick/cheapish stuff, Claude Sonnet. For really quick/cheap/easy stuff, GPT-3.5. Often I will still give GPT-4 a try just to compare with the others, and there's just nothing at excels at. It's neither cheap nor the best at anything, just "good" at everything.

This may make sense for them because they have to cater to the largest audience. So they'd rather be #2 for every task than #1 for one task and #3 for the other. But for serious users, or even enterprise use, it means there's no point.
That's because LLM does not reason. For me, as a layman, that seems strange that they don't wire some kind of Prolog engine to fill the gap, (like they wired Python to fill the gap in arithmetic) but probably it's not that easy.
But on the very linked page it says:

ISLISP, a spiritually CommonLisp-lite:

Adhoc polymorphism through generic methods;
Dynamic and lexical scoping;
Procedural macros.
>the point of all of this is: this is alpha 0.45 made to get the money needed to build AGI whatever that is

Maybe they publicly made it available at alpha 0.7 and now it's more like 0.9 RC instead, with not much room to go except through marginal improvements for an ever increasing training budget making them less and less worthy?

And that's before 90% of the internet becomes LLM ouput, poisoning any further corpus for training and getting into LSD-grade hallucinations mode...
As with IP addresses, UX/DX is not the primary concern
A worse idea would be to run bash scripts adhoc without at least `set -u`.

There is an unofficial bash “strict mode”, overlooked and undervalued:

set -euo pipefail

Just use it everywhere and use shellcheck for scripts.
This is a really interesting idea! Wow. I love when I hear something that totally filps my worldview. Sensor fusion and enough AI could almost certainly do this.
In that case, if you have a similar question make a normal post and then comment a minute later explaining your question.
Sure, the mac was superior but it was also a lot more expensive, well outside what most people could afford.
> because ~all of their revenue comes from connecting unfamiliar sellers with buyers

Well that's exactly the sort of service that will be extremely valuable in a post-trust internet. They can develop authentication solutions that cut down on fraud at the cost of anonymity.
AI will just be another tool that artists will use.

However the issue is that it will be much harder to make a career in the digital world from an artistic gift and personal style: one's style will not be unique for long as AI will quickly copy it and so make the original much less valuable.
That old link from 2016 has little relevance for the current microarchitectures.

I have not seen yet any good benchmark comparing the energy efficiencies of the Crestmont cores from Meteor Lake (which are made with the new Intel 4 process) with any product containing Zen 4c cores, so which of them is more efficient is unknown for now.

It is pretty certain that for any problem that can use AVX-512 or even 256-bit AVX, the Zen 4c cores will have significantly better energy efficiency than Crestmont. Only for integer workloads Crestmont might be more efficient, but even that is uncertain. Crestmont should consume less energy in its instruction-decoding frontend, but how efficient are its execution units is unknown.

The older Gracemont cores had worse energy efficiency than Zen 4c, but they were handicapped by the inferior Intel 7 process, so that does not demonstrate anything about the relative merits of the Gracemont microarchitecture, had they been made in a competitive manufacturing process.

Only after the launch of the Intel Sierra Forest server CPUs (expected in a few months), a direct comparison with AMD Bergamo will show whether Intel has succeeded to design a CPU core with better energy efficiency than Zen 4c.
The world needs sealed, passively safe reactors that can be mass produced (at least in the tens of thousands), last for some number of years (10-15-20) and then gets shipped back to have its fuel reprocessed at some appropriately secured central location.

Traditional nuclear power plants are a risky proposition today because they are large, complex, expensive, and they take a long, long time to complete. Not least because they futz around with refueling and cooling spent fuel onsite.

The long completion time means they are hard to finance, you will have one or more (financial) black swan events (eg financial crisis, wars) during the construction period, and there is no such thing as someone who has prior experience building a power plant before starting because the same power plant is never built twice in consecutive generations. Even the "serial produced" ones are different.

The only way you can make nuclear cheaper is to get the manufacturing and commissioning time down to 1-2 years and no more than 3 years. Which means they have to be small and as simple as possible. Size is only relevant as a means to achieve simplicity. Mobility and widely distributed operation are pointless goals in themselves. That might be a possibility to investigate later, but it is not important initially.

If someone starts talking about a mobile power plant they have 100% the wrong focus. First there must be a power plant. And when you have one, you probably really, really want to bolt them down so they don't go missing.
It's an easy (obviously not perfect) way to have some limit on the number of accounts you create.
You mean I can't wish for a brave new world?

Joking aside, I agree. It's too bad, though, that we know a thing (this or anything else even technological or not) that could be used for good and improving ourselves will almost always be diverted for something bad...
I don't believe you can't see the differences between usage scenarios of one and the other.
Thank god! Enough Medea, already! I chalk this up as a win for humanity.
A Tale of Two Sieves (1996) [pdf]
That’s by design; those corporations can purchase an enterprise license - and this is commonly the route desired!
> And then it can very well kill a home through misdiagnosis.

I would imagine outcomes would be scrutinized heavily for an application like this. There is a difference between a margin of error (existing with human doctors as well) and a sentient ai that has decided to kill, which is what it sounds like you're describing.

If we didn't give it that goal, how does it obtain it otherwise?
Triggerman (Beat)
Copilot in excel is really awful.
You have the same person causing two different problems.

1. With regards to the CTO, treat them like an employee. Prove that their performance as an employee is not good enough, and fire them. They now have no reason to interact with the company on a day to day basis.

2. As a 5% owner, treat them like a shareholder. Put together a reasonable offer to buy them out, and do so. If they don't want to sell then that's fine, you'll only have to interact with them during shareholders meetings.

The first action will solve a lot of your problems. The second action can happen later on when you've got the money to do so.
The climate doesn't care which sector emits the CO2. For a societal analysis, focusing on only electricity makes very little sense.
Ask HN: Has anyone had any success with resolving being delisted from Bing?
As described by this user: https://answers.microsoft.com/en-us/bing/forum/all/website-still-delisted-in-bing-after-multiple/1413863c-ab48-4d3b-b77b-55555b7cf24d - it seems that there is no channel of reasonable communication with "Bing" after being delisted. I have suffered (and I'm still suffering) from the same problem.

The best I've managed to do is contacting them by email and receiving some vague and unhelpful templated answers. It's really disheartening.

I'm wondering whether someone has ever had any success with resolving being delisted from Bing?
Tesla's profits per vehicle are now among the lowest in the industry, based on Tesla's own financial reporting.
On laptop I personally end up using cloud environments such as codespaces/gitpod. I also heavily recommend Replit for experimenting and small projects.
As a Reddit refugee (post APIcalypse), I feel individually targeted
I'd love to be able to visit Disney Imagineering. Much more than the Disney parks themselves actually.
Audio hasn't been released yet
HN isn’t really the place for low effort comments like this one
FYI the build steps should be simplified to

cmake -B build -S .

cmake --build build

this will work on all platforms.
Tiling Window Manager for Your Grandpa
You can run a bunch of LLMs on a phone (such as llama), depending on which phone you have.
Prolog doesn’t reason either, it does a simple brute force search over all possible states of your code and if that’s not fast enough it can table (cache, memoize) previous states.

People build reasoning engines from it, in the same way they do with Python and LISPs.
Thanks for the feedback! We reduced the pricing to $20/month. I agree those features would be cooler, will definitely explore
Shaving blades, which millions are sold of per year, Ive never seen without what amounts to a plastic clamshell.
I'm not sure why your iCloud account would stop working on old devices. I can still log into devices with Mac OS 10.11 with my iCloud account. Maybe because MFA was introduced a few years ago?

But like the previous comment said you can use OCLP to install new versions of MacOS on "unsupported hardware". Usually you can go 2-3 versions of newer MacOS without any issue. Beyond that little things will start breaking, but it will still be functional.

I run the newest versions of Sonoma on a 2010 iMac (that I upgraded to a quad core CPU, Metal capable GPU, and 32GB of RAM), a 2012 Mac Pro 5,1 (also upgraded to dual 3.46GHZ CPUs, RX 580, and 64GB RAM), and a 2009 MacBook Pro (SSD, and RAM Upgraded).