skysight-inc/HackerNews huggingface dataset:
Not to mention you have to get your fingers or something underneath the closed door in order to begin lifting it in the first place. So the "from the ground" part is not insignificant.
Three Mile island was very close to being a major disaster, and upon further review had more radiation escape than was initially disclosed.

The list of all of these nuclear incidents is interesting, many of them seem to be various components of the system exploding for various reasons, which could have led to horrible outcomes but luckily did not: https://en.m.wikipedia.org/wiki/Nuclear_and_radiation_accide...
>Business processes aren’t naturally rigid. Computerization has just made us think that they have to be.

I would argue it is more finance, accounting and management theory that made it rigid. Perhaps a little HR/legal as well. I remember the days when customer service was allowed to actually help you and it was nice.
The tech nerd in me is excited about things like this. Science fiction is becoming reality at a ridiculous pace.

But as a thought experiment, let's say this project or projects like it are a big success, costs come down enough to enable mass production, and within a few decades (sooner?), we have fully autonomous humanoid robots that can do useful tasks.

Realistically, what's next? I try not to get too caught up in fictional apocalyptic scenarios, but given what we already know about how the assimilation of technology into society is going, I can't help but feel pretty worried.

Isn't this a worrisome direction to be going? I love the potential use cases for assisting people who need assistance. But beyond this, it's hard not to feel deeply pessimistic about a wider deployment. They'll be expensive enough to be controlled by corporations, and you don't need some terminator or super-intelligence scenario for such bots to have a serious impact on society. I'm less worried about them getting out of control, and more concerned about the entities that control them.
How is this any different than a placebo effect? You could give everyone a sugar pill and then if a few people started complaining about the side effects, another 30-40% would quickly follow. The human brain is incredibly susceptible to group think. I can't remember the exact psychological experiment, but I remember learning about how they did an experiment where they'd have a group look at pictures of things to define a color (i.e. the apple is red or green, the milk is white) and there would be person involved who was a collaborator with the study and would be loud and vocal, but every now and then make an obvious mistake (the dot would be orange, they'd say it was yellow) and other people would just agree with them since the other times they were right so the non-collaborators would actually change their answer from what they saw with their own eyes, to something they didn't but was just suggested by the defacto loudmouth in the group.
Code quality is very subjective. Assuming you eliminate the extreme cases of poor code and great code, most people being average, the best thing to do is keep a talented team together as long as possible. The team will accrue knowledge slowly at first but will produce dividends later on as they will have the best knowledge of the system.

Excluding extremely poor situations it is domain knowledge that drives defects, not the code.
Being anti-food-snobbery is great. But let's be real: the Waffle House might be fantastic (I've never eaten at one so I wouldn't know), but there's still a reason that the Laundry can charge two orders of magnitude more for a meal than the Waffle House and still be sold out every single night.
>the fact that nuclear is kept out of the hands of corporations

American nuclear plants are ran by corporations.
they announced a cloud service NIM that hosts LLMs using Nvidia software stack.

https://developer.nvidia.com/blog/nvidia-nim-offers-optimize...

so there is a push towards a platform company, but probably not well explained in this article.
If you were curious how much "lots" is, here is a quote from the abstract:

> Our results suggest that between 6.5% and 16.9% of text submitted as peer reviews to these conferences [ICLR 2024, NeurIPS 2023, CoRL 2023 and EMNLP 2023] could have been substantially modified by LLMs, i.e. beyond spell-checking or minor writing updates.
Your 2-1 leverage assumption is wrong. The first 1' is full door weight plus all the friction in the system. The effective weight will decrease as the panels transition to horizontal, but deadlifting 400 lbs is easier than overhead pressing 200 lbs.
I don’t really see a problem with this - if someone does their due diligence and reads a paper thoroughly to provide feedback, and passes their draft through an LLM to make it easier to read or sound better, that’s fine; great even.

I guess it does make it easier for people to be lazy and get away with it. That being said, I’d be surprised if ChatGPT/Claude/Gemini actually provided _zero_ useful feedback.

Not exactly the same, but instead of my co-workers just pasting “LGTM” on everything, I’d probably prefer an LLM review.
Paper: https://arxiv.org/abs/2403.07183
Falls hit 50% fatal above a twelve foot drop. Remember kids gravity is an accelerative force. It isn't a static force. You fall faster and faster every second you fall.
Highrises
First of all, this is not an attack or intended to be negative. I often get attacked or downvoted for constructive feedback on Show HN (where that's what it's here for). This is intended as feedback. I give feedback to the best projects and to the worst.

With that out of the way:

Many of us have never heard of LoRa. There is no way to know in 60 seconds what this project does, or why it is useful. I would recommend adding a sentence to the effect of:

"LoRa is a low-cost long-range wireless communications protocol. This project provides hardware and software to allow zigbee devices to communicate over LoRa, allowing placement of such devices far from the zigbee hub."

That's a small but big improvement. Next improvements:

- Discuss maximum range / interference

- Add an English option to the project page

- Minor: Reorganize the page to be more directive about how to get started ("Buy X, do Y, etc. in a tutorial format"). This can even just be a pointer to the relevant pages ("Buy the hardware list on [this page]. Install the software per [this page]")

That's a first impression. Feel free to post again. Show HN is a nice place to get first impressions, which have a surprisingly big impact on adoption.
This show is so underrated and so good. I feel like certain viewers are expecting some kind of explosions or conflict in the first episode itself.

There is so much tension in the Chinese show, and so much is going on at once (without much violence). It speaks to the quality of the writing. Also the music is really good.
Those are two separate things:

1) We have unexplained observations.

2) A hypothetical explanation is dark matter, defined as a form of matter which does not interact with light (other than through gravity).

Whether dark matter actually exists does not affect how it's defined.
The manager/customer is going to be very disappointed that the computer can't just "do what I ask it to".
I don't know it, and searching got me nowhere. Could you expand?
I've yet to see a valid scenario where C++ is superior to Rust, Python and Go.

Use Python. If you need concurrency, then use Go. If you need even more performance, use Rust (using unsafe Rust only for the parts that need it). For the highest performance stuff, maybe consider C for critical parts only.

C++ is not safe. It's a minefield of things that compile but are memory management mistakes. And then you're like "Look, I have a map of the minefield. If we just make sure we don't step on any mines, we are completely fine."
There goes that never ever ever wrong point
I think quite often these days "wonder what Marx would think about all this" ... not trying to be cute here, but probably worth re-reading The Communist Manifesto. We're in for an interesting ride over the next 20-30 years, it's gonna get pretty wild methinks. In my humble opinion.. times a changing. (and I'll add, we have terrible philosophers these days, if we even have any at all, and I'd argue if we ever needed them, it's now)
This same argument could have been made in the 60's regarding computers. Don't just look at what is, also look at what could be.
The Chinese show is much better than the Netflix one lol.
I agree. I think he could have done wonders starting fresh with something new.
Ford's Assisted-Driving Technology Under Scrutiny as US Probes Fatal Texas Crash
It's not an issue until you demo the building
I'm sure this will have no effect on the price of this famously expensive product
This is just a straw-man boogymen about speech supression; it's not even internally consistent. It claims on the one hand that Maria Ressa believes Wikileaks "isn't journalism" (implying she is in favor of censoring it), but on the other hand cites her ties to Pierre Omidyar as one of the sources of censorship. You know -- the person who founded and paid for The Intercept, one of the primary places that was the outlet for Wikileaks and Snowden's work.
Welcome to academia
Perhaps I should've prefaced that with "for the sake of argument, let's assume...". I think you're right. But even if we're wrong, and modern C++ is bulletproof, that doesn't matter because very little code is written with those idioms.
You can look at the USA vs Canada to prove that that isn't a necessary condition for a more productive, resilient society. Canada has more equal access to essential services and opportunities for personal development and it's junk vs the USA on productivity and resiliency.

You could look at Daron acemoglu's book "The Narrow Corridor" for much more likely to be necessary conditions for a more productive and resilient society. I would add a deep and wide capital market to provide the funding engine to new ideas to the strong state kept in check by strong society (which in itself is kept in check by being multipolar) because how junk Canada's capital market is has personally very negatively affected multiple business ventures I've been involed in to the point I don't fund stuff in Canada anymore no matter how good it looks on paper.
> CUDA is a big reason for their moat.

Zen 1 showed that absolute performance is not the end-all metric ( Zen lost on single-core performance vs Intel). A lot of people care for bang-for-buck metric. If AMD can squeak out good-enough drivers for cards with good-enough performance for a TCO[1] significantly lower than NVidia, they break Nvidia's current positive feedback cycle.

1. Initial cost and cooling - I imagine for AI data center usage, opex exceeds capex.
I use GPT in all my writing now, and I'm really transparent about it. For $20 a month, I now have a pocket secretary, and can at any time whipe out my phone and dictate a long, incoherent train of thought, thinking out aloud — and get a structured retelling of my thoughts a few seconds later. Is there a single reason not to use it?
You ah wanna go roll that dice for that 5 percent exposure risk? Or are you just willing to pay me to roll that dice? Because if it's the latter we'll guess what I value my life fairly highly so you can pay up the high rates. I find most of the folks whinging about the costs are rarely involved in doing the work or taking the risk.
Why should software be any different from aircraft?
I guess we all forget how to truly eliminate speech you don’t like: befriend a billionaire and sue the source of the unwanted speech out of existence (ref gawker).
The only real wealth have, at the end of the day is: your health, your relationships, and your ability and willingness to eat beans.
My favorite joke about this acquisition: Cisco bought Splunk because it was cheaper than their license renewal
> That never happened. Three decades have passed and we still develop at an obscenely low abstraction level.

Have you seen how APIs are written for ChatGPT plugins? It is in plain English. There's no code.

Function calls also done in plain English.
That's a really creative way to solve that problem! I would have spun up a temporary pg instance etc, but this is much nicer.
Lazyness. I've been under a car dozens of times with them, never had an issue, but know it's not the best practice and try to use jackstands... but it's just so much quicker!
There exists software to reproject texture normals back on to a high poly model. So this problem does have a solution for anyone interested.
It’s like grammarly for people that don’t want to pay for grammarly?
Wasn't this announced [1] several months ago? Was there concern that the transaction wouldn't go through because of antitrust or other issues, such that this new announcement of the closing would be newsworthy?

1: https://www.bloomberg.com/news/articles/2023-09-21/cisco-to-...
This is great. I use Yolink because it’s one of the only Lora options. More options ways to use Lora that don’t require a cloud SaaS would be great. I’m considering getting a hubitat device which focuses on local operation but also has some integrations with Yolink and other devices
Depends how expensive the AGI is. If it requires $1M of electricity per year to run, it will for sure not replace human jobs paying only $100k.

The highest paying jobs will probably get replaced first.
“Drum machines have no soul”
I tried and they turned out awful. Just wrote them myself and they were much better
Safe primitives such as garbage collection?
Establishment Democrats and Republicans are the conservative parties in this sense. Tea party and their anarcho-capitalist descendants aren't really conservative.
Which will be so amazing. But there is already ai running physical experiments: https://youtu.be/L1UgdoP2aeg

But it has been done for at lest a decade or so I think
Intuitively, there is a ton of redundancy and we still have a long way we can still compress things.
I used to think that CUDA was something that would get commoditised real fast. How hard could building it be?

However, given that the nearest competitor AMD has basically given up on building a CUDA alternative, despite the fact that this could grow the company by literal trillions of dollars, I suspect the CUDA moat is much bigger than I give it credit for.
I mean they’re building the labeled dataset right now by having creators label it for them.

I would suspect this helps make moderation models better at estimating confidence levels of ai generated content that isn’t labeled as such (ie for deception).

Surprised we aren’t seeing more of this in labeling datasets for this new world (outside of captchas)
"The grad students that CS profs exploit and who are tasked with doing the review the prof claims s/he has done appear to be using GPT."

We know the exploitation is quite prevalent and we should keep saying so out loud every time there is an opportunity to do so.
You also have to love that the middle square method is by von Neumann[0], infinitely quotable about random numbers ("Anyone who considers arithmetical methods of producing random digits is, of course, in a state of sin"), way back in 1949. As a small child he saw his mother daydreaming, and asked her what she was computing...

[0] https://en.wikipedia.org/wiki/Middle-square_method
I’m partial to KnowBe4 for phishing training/stats/campaign suggestions, and secure authenticator onboarding (MFA) made mandatory for frequent failing users. That’ll mitigate credential loss, with EDR mitigating malware from clickers. Education and behavioral improvements primary with technical controls closing gaps.

For customer IAM, passkeys. Both hosted and open source idps support them.
> No one will want one in their homes.

I will want one in my home when I'm old and weak to the point that the alternative is either institutionalization or letting strangers do its job.
The standard library consists many functions that simply should be dropped. All the globals like errno, locale should be removed. Instead of global allocator, allocator struct should be passed around (zig). Headers like stddef and stddint in the standard library should be in the language instead.

https://github.com/Cloudef/zig-budoux/blob/master/src/c.zig#...
Using GPT for self-review might lead to biased or inaccurate assessments. It's essential to seek feedback from human peers or experts for a more reliable evaluation.
I'm not just talking about homes. Plenty of schools, museums and other public places spend huge amounts of money removing otherwise undisturbed asbestos.

That said, it's more-or-less the same thing with old homes -- the "we found asbestos; give us a discount" thing is not really about rational perceptions of risk. If you buy an old home, you basically have to assume that it's going to have asbestos in it.
> Notably, "unintentional fall" is the #1 cause of emergency department visits for adults [1]

The vast majority of those are the mundane falling down the stairs or the elderly in bathtubs, not anything to do with roofs.
It's likely newsworthy for Splunk customers/ partners. Though I'd expect a bit of a delay before customer-facing changes start rolling out.
Poppycock. A sat solver is leveraged to minify CSS. This is a discrete optimization problem, for which sat solvers are well-suited. That doesn't indicate that CSS is too complex.
That's assuming your generator produces a normal map, the ones I've seen do not, the only texture channel they output is color. That being the one channel that a model trained on images is naturally equipped to produce.
To be fair I never claimed they were the same, just that my "simple" advice applies equally to both. I only called out 2 examples of the many ways this article is lacking in nuance on the details.
What’s your pipeline? Do you dictate into a chat GPT or do you take a voice memo and go through the API or something like that?
People demanding self reviews are already meatspace bots conditioned into forcing regular people into servile paperwork generation only to be sent into the void.

I will gladly utilize AI to feed these corporate drones.
Mine is broken and I'm waiting until I have enough savings to pay someone experienced to do it for us.

I've worked on all sorts of things, but I don't want to risk my health that recklessly.
I'd argue llms can do a much better job, because they can also emulate styles in addition to cleaning up grammar. "that's too formal", "that's too casual", "rephrase this more concisely", etc. I've run into plenty of drafts or arxiv publications that are annoying to read because the sentence structure is unnatural or overly verbose.
There are some key differences here though. By definition, humanoid robots will never get smaller. They will get less expensive, but never less than something like a Roomba.

I do think smarter robots will take off, but I don't think this form factor will be as important as it seems right now. Maybe just for novelty or entertainment.
You aren't organising your own thoughts. You're missing out on imporant clarification to your thinking and very likely settling for second rate on that basis. That's one reason not to use it, but you may be able to counter that somehow.
> They will always be expensive, bulky, and creepy.

People said similar things about those early NNs generating images, code, music.

Surely we will solve the fine motor skills soon. It just takes one incremental step at a time, there are no fundamental roadblocks on the way.

> No one will want one in their homes.

I would kill for a robot that keeps my house clean, makes my favorite food, fetches me things, etc.

While I could pay a human to do that, it just seems more convenient if that wasn't a real person. Because with a real person I can't e.g. walk naked around them and behave generally weird, because I need to respect their feelings, which I don't have to do with a robot.
This is an interesting bit of data because it -is- just data and makes no judgement based on the data.

It leaves the reader to decide if it's a good or bad thing.

On the one hand scientists are not always good writers. Bring good at science does not imply good communication skills. Clearly tools like spell-checker and grammar-checker have been jn use for decades, is this not just the next iteration?

On the other hand LLMs are just probability machines. So while the review might accurately reflect the authors opinion, it may come across as "bland". All the personality of the reviewer is stripped away.

It's like fast-food. It's all the same. Which has up-sides. But it's considered "low quality" in part because it's "designed by focus group". By contrast Mamas Italian Kitchen reflects mamas unique personality.

Perhaps they are both OK, in their own way.
I think they meant self-assessments? Pass in your commit log and some bullet points about the projects and ship it
It makes one wonder if it would be in the public interest for there to be a legal requirement of generative AI providers to log what they have generated and make it searchable, along the lines of lawful access to telecommunications records.
You are 100% right. Though this problem isn't unique to India by any means. In fact you often hear of sexual assault cases re. taxis and ride share going through the courts in Australia.

That said I've personally witnessed things "nearly" happen, and heard some harrowing tales besides, to / from lone women travelers in a number of countries throughout Asia, the Middle East and Europe.

The world is not a safe place for women.

As an aside, Singapore seems to be one of the outliers here. We saw a woman exercising at about midnight one night coming from the airport. Taxi driver told us it wasn't unusual, ostensibly thanks to capital punishment. No way you'd feel comfortable doing that in Australia.
You'll definitely encounter people talking about phishing your own users and enrolling people automatic training. I used to love this approach, but after years of trying it I am actually against it. More often, it serves to embarrass and annoy your users, and it teaches them to be overly paranoid. If you are a bank or something and your people are holding the keys to funds, then maybe that is good. But for everybody else, the cost/benefit analysis comes with a lot of cost (in the form of trust and morale) for that benefit.

The best way IMHO is to make a damn fun security awareness training. The best training I've done was basically doing running an "attack" against somebody and going through the whole process like an attacker would, but with the group as passengers and with explanations as I go. Seeing under the hood can be a lot of fun, and can be very enlightening.
It may get more expensive in the future. ;)
No other threads on this?
> Is there a single reason not to use it?

Same reason as all the other tools when they were new: we're still all figuring out the best practices, the limitations, and the strengths.

Also: If all you have is a hammer, every problem looks like a nail — Outside my speciality, ChatGPT is my hammer; inside my speciality, I can see all the LLM's flaws while also having good working knowledge of many other tools.
Related:

Cisco Acquires Splunk, 5 months ago (923 points, 502 comments) https://news.ycombinator.com/item?id=37596497
I don't think that majority assumes that.

Quite contrary, majority believes US falls back behind on almost everything (as it should be statistically).
The name indicates low expectations for its linguistic skills.
Bandnames