skysight-inc/HackerNews huggingface dataset:
Still Llama-based.

Anyway, I'm glad they went with 30B over 13. It's more flexible with requests about how output is formatted.
I honestly use taskade instead of notion. A better user interface and help from their team. https://www.taskade.com/
Most cars makers don't have enough cars on the rode to provide this number. I think in another few years we will.

The biggest datapoint we have outside of tesla is Nissian. The leaf used air cooling, and degraded MUCH faster. Something like 50% after 6-7 years is common. It is a cautionary tale about making sure your battery temps stay sane.
Profiting from a short squeeze. They basically load up on the shit stock like lottery tickets because they believe the price will eventually skyrocket. This is why they’re willing to delude themselves for months and years.
The quality of solar tech varies immensely and it will likely take regulation to address some of these issues. But I do not think this is the primary concern here.

We put solar on our house and did some pretty rigorous research into the tech precisely because of this concern. After spending many nights/hours understanding the tech in this industry, I can confidently say it matters less about the current generation of solar tech. But, while the degree of quality in solar products exist, what really matters are the contractors that install it. I did not read the articles and I don't want to claim that there's direct causation by contractors, but if I were a betting man, I'd easily put money on the quality of the installation as opposed to the actual tech provided.
Well hopefully it lowers some barriers to entry at least.
Wow, that's a pretty depressing picture of the U.K.
I know the situation over there is quite bad, but this was more extreme than what I expected.
...that actually sounds like great entertainment.
Related: Peter Jackson's They Shall Not Grow Old [0] is a great counterpoint to the general idea put forth here.

If you've not seen it, do yourself and ANZAC Day treat and watch it this evening. It's from just before all this AI stuff went off.

Jackson (of LoTR fame) is a huge WWI buff and was approached by the Imperial War Museum and the BBC for this film. He takes old archival footage and then uses a lot of computer massaging and hard work to 'update' the old footage. It really gives a good feeling of the life of a Brittish solider in the first war.

He puts the camera speed at modern fps, he colorizes the black and white, he puts sound in, de-jitters it, etc.

I managed to see it in theaters, and the moment when it goes from black and white to color is just amazing. The whole audience just gasped. Really. These boys jumping around, walking like penguins, grainy and burned, silent, on the old archives, they become people, real people again.

I'm not watching a 'historical' thingy in school anymore, I'm watching a real boy march along in the toxic sludge of Passchendaele, staring at this new fangled camera thing.

That feeling, that moment, anchored to the horrible reality of the footage, but made better and somehow more real, that is what AI can give us on a mass scale for all this old evidence.

Jackson's hard work paved the way to treat this new genre of lovingly updated historical footage. AI will take it all the way.

Really, this ANZAC Day, go watch it [1]. You will not regret it.

[0] https://en.wikipedia.org/wiki/They_Shall_Not_Grow_Old

[1] https://www.amazon.com/They-Shall-Not-Grow-Old/dp/B07PMNNGVH
In my old Nokia N95, the AGPS data was downloaded when starting the GPS app.

No need to require a constant background download.
> I typically do too until they incorporate some feature in a bad way. See: Dark Sky.

As a Dark Sky fan for years, I understand losing something you've gotten used to. But Apple Weather is great for most people, and die-hards like me can move to apps like Weathergraph.
> This seems like much bigger news than it's being received as.

This has been widely known for more than a decade (Sorry I can't provide with a source. I was expecting Google search-in-the-past feature to work, but it doesn't).

As to whether the privacy policy has been declared properly or not, it depends on the OEM: See for instance https://www.bsr.at/mediafiles/Handbuch/CipherLab/User_Guide_... which shows Qualcomm's IZat default integration (This documentation shows an Android 7, but that screen has existed since at least Android 4.4)

> Sure, other chip makers do sketchy things, but is that really where we're at in 2023?

Literally all chip makers literally do that exact thing (except maybe the Unique ID part), just because that's how you're supposed to do A-GPS. For A-GPS you need at some point an oracle that is capable to give you an approximate location. There are some privacy-compatible ways to do that, but I'm not aware of anyone who even looked at it. (Looks like GrapheneOS skims that feature altogether, that's a way that works)

> It's a horrible time too because the embedded 5G chips are about to be part of everything, sending telemetry back

Even though Qualcomm can make things worse, the vast majority of IoS already do just that, and don't require 5G.

Of course I overall agree with you on lost ownership of modern electronic devices (and as you point out, everything became electronic devices), I'm just saying that it's nothing new. I think you need to get back at least a decade to see the unstoppable start of it (though DRMs are much older than that)

> I can only hope the RISC-V combined with people willing to care can lead to a return to a time when people actually own stuff and ownership is something we respect.

What does the ISA change in that regards? I would guess that the currently most deployed RISC-V device are nVidia graphic cards. And you're probably very aware that you don't fully own nVidia graphic cards. I'm also aware of other RISC-V devices in the field that are even more locked down.
What happened to the 100k-hour LED bulbs? (2019)
> At least with obj-c these errors will only pop up at runtime

But it's not a good thing. There's still an error, you're just increasing the chance to miss it.
> Imagine if you bought a car from somebody, and they secretly kept a spare key and periodically used your car to run their personal errand.

This is happening already. Teslas can be controlled remotely, and it does not have to be the owner of said Tesla.

Yes, somehow people are okay with that. The world we live in gets scarier and scarier every year.
BBBY defaulted on its debt in December.

Defaulting doesn't mean bankruptcy however. The bondholders could legally start the bankruptcy process, but presumably the bondholders wanted to see how the stock-selling deal would pan out.

Now that the shares are under 20-cents and an additional 600+ million shares have been dumped to the market (from ~117 million in December 2022 to over 700-million today), its clear that the shareholders have been tapped out.
We're happy hosting it on Hetzner, so even if we forget it won't be that bad - it's a single CX51 server right now
> any take-home exercises that take more than half a day to complete

jeez, i would reject if they took more than 5 minutes
This actually could be quite useful for summarizing all of the parts of legislation that is written in overly-complicated legalese, crammed into other legislation, and delivered the night before a vote.
If that's happening, it's either a calculated decision or the senior devs aren't doing their job. Someone should be communicating to management that the solution won't scale, with estimates of when it will fail or maximum load and the amount of time it will take to do it correctly.

Sometimes it's legitimately not worth optimizing something that will never need those optimizations. Sometimes management doesn't realize something needs to be optimized before it falls over. Sometimes management does make a bad call and doesn't want to optimize something that should be, but that's been uncommon (at least for me).
> We're not going beyond our solar system. Ever.

We're not going within my lifetime, but we don't know what currently-unimaginable technologies could be developed in the future (if we don't destroy our civilization within the next few decades)

Significantly extending the lifespan of humans seems inevitable at some point. Robotics and AI will continue to improve. We may master fusion, or discover new ways to store energy. We'll probably mine asteroids and master construction in space.

Robots will lead the way, but humans are unlikely to lose the urge to explore.
Bed Bloodbath and Beyond
Some people have an unfortunate mindset of wanting to shut down AI systems because they feel their art or job is threatened. However, I believe that the benefits of AI for society far outweigh these individual concerns. We must acknowledge that there may be issues with companies preferring AI over human employees, leading to potential unemployment. But, businesses wouldn't benefit from having poorer consumers, so it doesn't make sense to increase productivity at the cost of consumer power.

Society must adapt to allow AI technologies to flourish and relieve humans of mundane tasks. We should identify tasks that only humans should manage, differentiate between human-made art and AI-generated art without banning generative processes, and find a way for everything to work together. AI can even help in building a new society based on these principles, possibly leading us towards a resource-based economy where money becomes less important.
I block the ads, how could I block this? Also, just because evil ad companies exist, why should we accept this?
Here's some criticism of AI for you:

• VENDOR LOCKIN •

It's possible that OpenAI is managing to establish a permanent competitive edge and will be the next Google. There is/was a lot of rather handwavy assumptions about open source models being competitive thanks to Stability AI and the Facebook leak, and last time I raised red flags about this on HN I got dunked on. But right now it looks more likely that LLMs are the new search engines and there won't be any competitive implementations that are both legal and that you can run yourself. It'll be APIs all the way, just like with web search engines.

Also, embeddings are model/vendor specific and expensive to compute. If you calculate 10 million embeddings using OpenAI it's going to be expensive to recalculate them all with another vendor.

• UNCLEAR PRICING •

It seems likely that OpenAI is either selling at below cost, or is at best break-even on compute. It's very unclear right now if prices are going to rise, fall or remain where they are and in fact AI prices have done all these things in just a few months. That makes it difficult to know if it's an acceptable business risk to deeply incorporate AI into your workflow.

• HUMAN BOTTLENECKS •

A lot of AI use cases that sound initially compelling actually bottleneck on human review, because it's too risky to put AI output straight into production. Some people don't care hence the wave of amusing "As an AI language model" spam, but it shows what can go wrong if you skip reviews.

• FACTUALITY •

Obvious, but after having studied this more and listened to a talk by one of the OpenAI team I think this will actually go away as a problem in the semi-near term future.

• INTEGRATION COMPLEXITY •

The limited LLM context window size means a lot of tricky workarounds are required for many use cases, which increases implementation complexity.

• TESTING DIFFICULTY •

LLMs aren't deterministic, so it's a testing nightmare. You never know when the LLM will just do something unexpected that breaks your use case or integration.

• BUSINESS UNCERTAINTY •

There's genuinely a ton of potential, the tech deserves the hype. But it can be hard to capitalize because so many people are trying to do things all at once, so where do you go that you aren't immediately drowned in VC-flush competition? And many ideas may be more naturally done as features of existing products, so if the vendor isn't doing them, should you wait or should you try developing something yourself and risk obsolesence? The pricing uncertainty compounds that, of course.
Not a good trend, IKEA is like the Toyota of furniture. It's inexpensive but functional. With these changes they will be no different than cheap trash furniture. So why pay any premium for Ikea when I can just Amazon the cheapest equivalent furniture knowing both will equally break sooner than later?
American children are drowning in self-esteem (2016)
Through a combination of divination by star signs and chicken entrails, reddit determined that the bankruptcy is fake, the business is actually amazing, and the only reason everyone thinks the company is doomed is because it is being shorted by bad people.

If they just buy and 'hodl', the shooters will get squeezed, and all the holders will make infinity dollars.

After buying mountains of stock, they've come up with insane theories for why this isn't a real bankruptcy, why some angel is going to come in at the eleventh hour to rescue their BBBY and how they will all get 1:1 shares in the angel's firm.

It's flat earth/rapture insanity, except these people are financially invested into their delusions.
"the country’s representatives continue to put on a show of democracy week after week" - Der Spiegel. In so many ways (sigh).
> My fantasy solution is everyone needs to go get a meat consumption license by going to a farm and killing an animal with a knife in their hands every, say, 10 years.

I have heard this repeated from so many vegans / animal activists at this point, including my own sister. Where did you get it from? Who is the original author? I am seriously asking.

An argument involving only my individual health (I am into fitness stuff) plus effect on the environment - repeated enough times - would sway me.

To be completely honest: I do not appreciate being told that I am an immoral human being for X (X = eating meat).

Been told that too many times already during my lifetime. It is a cultural constant. That formula is just too tiresome to hear yet again at this point.
Interruptions are costly to both programmers and writers. But I don't think writers get interrupted as much, so they can work during normal waking hours. Programmers get interrupted a lot if they work during business hours because their projects usually interconnect with other people's projects.
To travel at company expenses duh.
A general rule of thumb is that if it’s a theory of consciousness, take it with a pinch of salt.

Unless it includes the word “quantum”, in which case take it with a truckload of salt, preferably intravenously.
This is a huge loss IMO, buying kitchen supplies and bedding on Amazon is complete shit. Target isn't much better due to lack of variety and types of bedding.

I've bought the same bed sheets for 5+ years, a few months ago I bought new ones since some bleach got spilt on one set, it comes in and I could tell immediately the quality was far worse.

One wash later, its ripping & fraying. Thankfully I could return them. Sure enough the seller is a fake typo squatted version of the original seller.

This isn't even my only example, bought a kitchen cutlery set from Amazon during the pandemic since my old one had the handles separating. I get the new set, ONE run in the dish washer and they start to RUST. Hundreds of positive reviews of course.

BBB always had high quality (and expensive) items, I had my last set of BBB cutlery for over a decade.
Sure, but like what they say about Lisp, you are then bound to reinvent the complex numbers, poorly.
Yes. From time to time I pull back from an exchange here when it becomes clear my interlocutor would sooner die than concede they're wrong.

As they say, "Not gonna die on that hill."
I think Amara's law applies: "We overestimate the impact of technology in the short-term and underestimate the effect in the long run."

The development of effective LLMs really feels like a tectonic shift. We're still in the process of working out where they're useful and where they aren't, but it's clear that the number of areas where LLMs are demonstrably useful is quite significant. And this stuff is developing at an explosive pace.

So most of our lives aren't likely to be immediately turned upside down by LLMs. But this stuff is likely to have some impact on all of us. If your livelihood depends on interpreting and producing information, you really ought to be paying attention to these developments.
https://archive.md/FUNLn
Of course your phone/OS knows your location, but that doesn't mean it's ok to share that info without your permission. It you configure Snapchat to not share your location then it should not be sharing it with OpenAI via "My AI".
Agreed. That makes the AI will kill us all crowd the real luddites for this topic.
Partially, it is hard to "prove the negative" in a way.

The real issue and logical fallacy is people are frontrunning the argument: they are making extraordinary claims of either the current capabilities of the tech or future capabilities, without offering evidence beyond "it's obvious!" or "have you tried it?" or "use the latest model, it's much better!" etc.. and maybe they don't realize it, but these are not good-faith conversations/arguments.

So, you can't respond to these - there really isn't anything to respond to, and the person is not conversing in good faith (they are assuming you're unfamiliar with the tech, they are assuming a bunch of things, really), though I do give them the benefit of the doubt and would say they aren't doing this to be trolls, they're just excited about the tech.

Same with BTC, but BTC had some extra benefits: with BTC it had a "dual use" really, the currency made promises "of course BTC is going to take off, it's obvious!" and the tech made promises "wow, can you imagine the uses of a blockchain!?"

I mean, I had my CTO still saying in 2023 that we should use blockchain tech for a CENTRALIZED platform. Unbelievable!
I mean, you're asking them to predict the future. And not just a few years, but population growth for the next 27 years. Not trying to predict that doesn't make it a trick of statistics.
Why would they center it in a photo?
I take huge exception with this remark. I graduated with a BS and MS engineering at a top-20 US engineering school. I also earned an MS at a top-25 computer science program. I found the CS program dramatically more challenging. My CS classmates were some of the brightest problem solvers I've ever worked with in my life.

Then in my career, I have worked alongside some brilliant software developers who had academic backgrounds in non-technical fields like history or English.

I don't know if there's a way to assess someone's problem solving ability based on their field of academic study. It would seem that those from science and engineering fields (CS inclusive) would generally fare better.

Your dismissive comment about "most CS folks" is just offensive.
I totally get where you're coming from, and I'm also excited about the leaps and bounds we're seeing in AI technology, especially with models like ChatGPT. The potential impact across various fields is truly fascinating.

That being said, I think it's important for us to keep a balanced view on these advancements. As awesome as AI is, we should also remember its limitations and the potential risks that come with widespread use. For example, AI models can sometimes produce biased or even harmful outputs, which can lead to real-world problems if we don't address them properly.

Another point to consider is that having so much AI-related content on platforms like Hacker News might create a bit of an "echo chamber" effect. It's easy to get swept up in the AI excitement and lose sight of other equally innovative tech developments. While AI is definitely a hot topic, I think it's also valuable for us to discuss and explore a variety of other tech breakthroughs.

So yeah, AI and ChatGPT are definitely game-changers, and it's no wonder they're getting so much attention. But at the same time, let's not forget to keep an eye on other cool tech breakthroughs happening around us. After all, innovation isn't just about AI, and having diverse conversations helps us all stay informed and excited about the broader tech landscape.

[THE REPLY ABOVE WAS WRITTEN ENTIRELY BY CHATGPT4.]
Needs [2017] in the title.
If you'd had the ability to substantiate your claim that this time, the returns are exponential, it'd have been a more interesting exchange ....
No specific recommendations (though I was tempted to half-jokingly recommend Marx's Capital, as another poster did) but you're probably looking for something under, broadly, the umbrella of International Political Economy (IPE). It's like macro-econ but with a focus on where economics intersect with politics & policy, and on real-world outcomes of various approaches to economics.
My attitude towards AI has gone very negative lately. Like many new technologies, I believe it has great uses and some drawbacks. In the last year, it feels like we have crossed a threshold with AI where we are never going to hear the end of it for years, maybe decades. I am already tired of the cyclical conversations, and it has affected my enjoyment of the technology. Perhaps I should spend less time online.
Random thought and I figure there must be a law against this: But what about the opposite, could a company sell off it's assets and do stock buy backs right until it goes bankrupt so that some investors get more $ ahead of the creditors?
Specifying the heuristics would actually impede future implementations. Even if they would be willing to engage in spending more computational effort on proving that a controversial block of code is type-safe. And it's always possible that a smart PhD student comes up with a better heuristics for certain kinds of programs.

Implementations accepting different sets of inputs is certainly annoying, but acceptable as long as they are erring on the side of caution. We definitely don't want code to compile which is actually not type-safe. At a quick glance, the PR can be understood as automating a workaround that programmers had to do by themselves before.

> This PR (similarly, and building on top of #104765) allows RPITs and async fns to untangle their lifetime bounds to figure out the set of lifetimes that actually get caputed instead of falling back to a larger one or even 'static. For most cases it was was already possible for users to manually reorder their lifetimes to make their code compile, this PR just makes that automatic, as the order of generic params and bounds should not matter.
In English, you can say something like "He ate it", but just saying "Ate" as an utterance by itself is ungrammatical. On the other hand, in Japanese and other "pro-drop" languages, you can freely omit pronouns unless they're necessary for disambiguation.

You can use pronouns in Japanese to clarify the subject or object of a verb, but it's not nearly as common to do as in English. For instance: when addressing somebody politely, you would typically refer to them either by name (with an appropriate honorific) if you know it, or a suitable title (like sensei for a teacher, or okyakusan for a customer). There are situations where you would instead use a second-person pronoun like anata, including as a fall-back if you don't know how else to address a stranger, but it's not at all the default choice as it is in English.

Another way this crops up is through the use of so-called "benefactive" constructions. For instance, hon wo kashite kureta could be translated as "[he/she/you] lent me a book", and hon wo kashite ageta means "I lent [him/her/you] a book". The difference has nothing to do with pronouns; it's that you use a different auxiliary verb when describing something that was done for the benefit of the speaker, or for the benefit of someone else.

Similarly, Japanese has a variety of honorific language which, in polite/formal situations, is used to speak respectfully about others and humbly about oneself (or one's "in-group", such as family members or coworkers). So the choice of wording can convey who you're talking about, without needing to explicitly use pronouns.