skysight-inc/HackerNews huggingface dataset:
It may be better to tackle this issue at the school level than to pick and choose what constitutes a valuable degree because that can change depending on what the market wants. What may be true at student entrance may be totally false at student graduation. Isn't this a solved problem in Europe? The state treats public colleges as a utility to invest in the population. So the schools may not be as glamorous but they are easily and cheaply available for people who want to put in the work regardless of major.
> All I am saying is that there are other strategies to explore.

Are people not exploring other strategies?
The Netherlands is struggling with a lack of grid capacity due to political decisions to ignore the power network management companies that pleaded for at least a decade for expansion.
Anyone have a good reference on how write the interpreter itself?

I'm looking to write a really basic one in javascript except using plain arrays. No parsing or tokenizing for me.
You need to see Samurai Champloo if you haven't. It's twenty years old but absolutely timeless.

Reposting my comment from elsewhere here:

For something more fantastical, To Your Eternity, an adventure that makes you feel and hurt. Frieren: Beyond Journey's End for an adventure that's both young and grown-up - it only came out recently, but has instantly been acclaimed as a modern classic.

For something more childlike yet endlessly creative, Delicious in Dungeon or even Ranking of Kings.

For proper literary sci-fi (despite featuring young protagonists), From the New World (Shinsekai Yori).

For true artistic cinema despite a Japanese high-school setting, Ping Pong The Animation.

Other gems mentioned that I second: ODDTAXI (a tightly written mystery-drama despite its art) and Pluto (serious thinking sci-fi with gravitas).

There are always a few upper-tier shows coming out each year that retain an artistic, mature bent. Not very many but at least they're there.
If C# they'd have been using the MS authored GC. It was probably a custom GC for C++ heaps. Quite a few games do this, it's a smart productivity hack. Unreal uses a simple form of mark/sweep GC for its C++ game state heap.

https://unrealcommunity.wiki/garbage-collection-36d1da

It works fine because most RAM in games is consumed by assets that don't need to be scanned.
They’re not bad lenses. They’re lenses with the right amount of low pass filtering, essentially.

If you design a DAC, and you have artefacts in the higher frequencies you will almost always filter them out with a low pass filter. Why should we expect anything else from 2D signals?

I will say that it hasn’t made much sense for displays up until now. The aliasing hasn’t been a big problem for traditional displays. But VR is different, so it’s fair to evaluate the need for some blurring.
Even on grassland I wonder if that’s ideal. Look at the prairie for example - the native tall grasses have massive roots and they don’t need cows chewing on them but they do need to burn every now and then. Most of the biomass and carbon is under ground in these systems
> All I am saying is that there are other strategies to explore

The “other strategies” have been completely sidelined. Even back when we had no transformers, only CNNs and RNNs, the other strategies were tossed aside because they didn’t show much promise in cifar or mnist or whatever benchmarks the NN community deemed the most suitable sota. Even before that, when we only had decision trees and catboost, people had already dismissed loess/splines etc. You can get a flavor of the dismissals here -

https://news.ycombinator.com/item?id=19145706

At this point that horse has left the barn.
There's at the very least one group working to archive them: https://wiki.archiveteam.org/index.php/URLTeam
Hey! Thanks for the comment! Sure, this would be possible of course. The summary was supposed to be at 100 days because it takes some time to develop the thoughts in your brain and the questions itself compound. So you end up thinking deeper and deeper about yourself with every question you receive.
But a weekly summary is alright, yes :-)
I started a video game company. We are making kingmakers now.
Pgmetrics: Open-source, single-binary tool to collect metrics from PostgreSQL
Humans are terrible drivers, and even the human brain's reasoning capability is still light years ahead of anything Tesla is capable of shipping.

The advantage of machines is not that they have better brains than humans, but that they have better senses than humans, which is an advantage that goes out the window when you obstinately refuse to use better sensors than merely cameras "because that's what humans use".
> This whole movement of simply increasing compute or throwing in more data to hopefully attain AI results is just a dead end.

Hopefully? The last 10 years of astonishing AI results have largely been driven by “throwing in more compute and data”.
Even Morris Chang has pointed that out [0]

The whole reason by the semiconductor fabrication industry consolidated in East Asia was due to low operating costs (thanks to massive government subsidies) and relatively low wages for line engineers - you're at best earning $50-70k at TSMC as an IC, despite most likely having some graduate education.

This is why so many Taiwanese engineers immigrate to the US or Mainland China, the former for higher wages and better quality of life and the latter for extremely high wages (no taxation on expats)

> automate the engineering work with software/programming

Depends on the problem space. Some domains in Engineering do not lend themselves well to automation (eg. You will always need a hands on civil or power engineer when building a grid, and Petroleum/Chemical Engineers in the refining space will have to be handy if they're working at the plant)

[0] - https://www.politico.com/news/2023/02/14/taiwan-tech-king-pe...
And this paves the way to the rabbit hole of fossil collecting. And easily to camping, star gazing, Astronomy, Physics, Math and all sorts of things that humans naturally need in the wilderness.
For those interested in this topic, I’d strongly recommend Bryan Caplan’s “The Case Against Education”: https://press.princeton.edu/books/hardcover/9780691174655/th.... He does a much more thorough analysis of the value of a college degree than any other I’ve seen, including factoring in dropout rate, majors, meeting potential spouses, opportunity cost, university prestige, etc.

The summary aligns with common sense: college degrees are typically valuable, especially in in-demand fields and from prestigious universities. But the college dropout rate is around 50%, so many people incur the cost of college with little of the benefit.

If you’re a high schooler considering college, it’s worth it if you are “good at school” and so confident you can finish in four years and are going to a high quality state school or better. Otherwise, you’re better off going directly into the workforce.
I see so much concern and worry about climate change, how come it's not solved after all this time?
Some study released years ago gave a USD value for the salary that was the happiness asymptote. Recent inflation has likely demolished that number, and I think it is an important one to know. It did not speak to the case of not needing a salary at all. The ability to be idle, or seelf direct however you want is very enticing, but I could see it going badly in a number of ways.
North Carolina pottery studio owner is helping veterans heal
Fascinating. I often look at our society and wonder why we set it up so that most people are wasting their lives doing unnecessary "bullshit jobs" (sensu Graeber) instead of setting it up so that people can spend their time on meaningful non-work. Your comment gives me a new hypothesis: because people think like that.
> In all, Cooper found that 31 percent of students are enrolled in a program with a negative ROI—meaning that "the earnings benefits of the degree are unlikely to fully compensate students for the cost and risk of pursuing post-secondary education."

So, "cost and risk". In finance there is a concept of RAROC = risk adjusted return on capital. To adjust for risk you obviously need to first be able to measure it. The more standardized the measure, the better.

How exactly do you adjust for career risk? You can put forward a reasonably looking definition and get any result you want out of your analysis. It will look like rigorous scientific analysis, but it's basically a number plucked out of thin air.
> Given that population has increased and arguably(?) gotten more intelligent since Neuman's day, you'd have to assume there are a few people on his level walking around today, and I wonder what they're up to.

Hahaha, oh man.

Von Neumann, and many of his contemporaries, weren't secretive researchers toiling in obscure corporate labs -- they were famous public intellectuals with renowned accomplishments across many fields. There are no men of that caliber alive today, and the educational system absolutely excels in ensuring that such well-rounded men are not produced.
“I’m glad this book was well written”

That last line gave me a chuckle… the most positive feedback Bartik could provide, which somehow hurt more for the writing.
This is annoyingly true, although maven is nice enough to work with. Certainly beats its alternatives handily, being declarative and such. Not nearly as annoying as Ant and Ivy, and at least IMO, the less one needs to think about Gradle, the better.

But of course, maven could also be a lot better.
In Poland state universities are free. You only need to pay for books, and they're reasonably priced (i.e. the textbooks prices are not extortionate like for example in the US), like normal books.
And is such a long file GitHub can’t even display it. I get collocation but is one file that’s so large it has editor problems as a result, really such a good thing?
> Self-driving, as a mission critical endeavor, needs to be leveraging the same statistical phenomenon in order to reduce the exceedingly rare but highly impactful mistakes.

Uh... why? Shouldn't the goal be to be safer than people?

Basically that's just bad engineering: If your argument is not to deploy an existing system that is better than the current installed base because some other technique might be better still, you are harming your metric (safety) and not helping.
It would be cool if they had a way of identifying which atoms are which.
As I see it, he could be not articulating the impact of his idea. If I owned a slice of GPT-7 productivity and sold it to someone else, that's my basic income. If I didn't need that baseline of cash I could use it for something else.

I'm a bit dubious, I doubt the economics work. But it's not like Elon Musk has suggested that cars or satellites could be a universal basic good.
Missile defense successes fuel global urgency to acquire systems
Reminded me of the witty:

> Illegitimi non carborundum
I can recommend Fundamental Concepts in Programming Languages by Strachey 1967. This is an eye opener and a portal into the thoughts of that time. Some ideas are as relevant today as they were back then, for instance L-value versus R-value.
A car-free town in the Amazon serves lessons for pedaling to net zero emissions
The economics are still a little shaky for home solar installations, particularly when you factor in batteries. Larger "water batteries" instead of hot water heaters would make a dent but we need more passive storage.
There is a very intelligent system, far more intelligent than GPT-4, which uses a tiny fraction of the energy. It's called a "rat," and despite requiring only 2 watts of power, it can perform the following tasks which are far beyond any multimodal LLM:

- creating and executing complex plans in arbitrary scenarios

- counting to 6 with 99% reliability in arbitrary scenarios

- understanding object permanence with 99% reliability

- understanding simple, intuitive causality with 99% reliability

But rats can't answer Python questions, so according to a truly depressing number of tech folks, of course GPT-4 is smarter than a rat! AI researchers/capitalists seriously need to spend more time reading animal cognition. If Silicon Valley was in charge of animal cognition research, spiders would be considered smarter than crows.
It could be looked at that way, or as a single-income house where the other partner is doing some supplementary income.

Even if technically true a single income household is rarely discussed as “one partner subsidizing the other” but once the other partner is earning something it’s a subsidy.
100%! The immediately after graduation sample is particularly useless; it's not surprising that entry level jobs do not pay well. But the bulk of the ladder climbing that is made available to people with college degrees and not to those without happens after more than ten years. (I think this disparity is bad and ludicrous, but I also think that it's real.)
Very few non profits are run by people who do not want to increase their own income and career prospects.

The end result of that is the organization as a whole is primarily focused in increasing revenue. Anyone who says "should we cancel this program due to the low job prospects for current graduates "will be ignored or fired by the people who would make less money in that scenario.
Unpaywalled: https://archive.ph/jMTsc
This is analogous to saying "we're trying to avoid a local maximum where we are required to use expensive chemical propellants in order to fuel our space rockets; therefore we're going to double down on stuffing them full of larger and larger quantities of gunpowder".
If the claims of levitation, ultrasonic resonance, and/or lingam electrical plasma stone masonry methods are valid; perhaps the necessary RPMs for core drilling are lower than 1000 RPM.

Given drilled cores of e.g. (limestone, granite,), which are heavy cylinders that roll, when was the wheel invented in that time and place?

Wheel: https://en.wikipedia.org/wiki/Wheel

"Specific cutting energy reduction of granite using plasma treatment: A feasibility study for future geothermal drilling"
https://www.sciencedirect.com/science/article/pii/S235197892... :

> The plasma treatment showed a maximum of 65% and a minimum of 15% reduction in specific cutting energy and was regarded as being dependent on mainly the hardness and size of the samples [and the electrical conductivity of the stone]

E.g. this video identifies electrodes and protrusions in various megalithic projects worldwide: https://youtu.be/n8hRsg8tWXg

Perhaps the redundant doors of the great pyramid were water locks rigged with ropes. There do appear to be inset places to place granite cores for rigging.

Ancient and modern stonemasonry skills; how many times have they been lost and why?
Energy is a bottleneck to life in general, and the whole humanity.

It's like saying your employees need oxygen to breath or they can't work at scale.
The funny thing is that I don't even have a ginger beard! It's a long story.
— msephton aka gingerbeardman
River: Online Machine Learning in Python
The key in the trades is striking out on your own as rapidly as possible; if you don’t get to that tier you’ll end up with a moderate income.
Should the “return” on education be purely monetary?
Gradle can become a mess when people want to show their smartness with the build system, don't allow them (even better if one just avoids Gradle entirely).

Maven works fine, it has so much history that most problems you encounter have been solved. It's also pluggable so you can extend to your heart's desires (but you shouldn't, same as Gradle when people try to be too smart with plugins it's time to tell them to stop).

Could it be better? Of course! But just as the rest of Java: it gets the job done, and it's absolutely fine after you deal with some idiosyncrasies. Every programming language environment has their own unique set of idiosyncrasies to deal with.

Java is a workhorse, it's not sexy, it's not pretty but will get you pretty far in most production environments.
It's not really all that useful for AI training. The reason why energy is a problem for AI training is that you need a lot of compute at one place, distributing backpropagation doesn't work that well. When the energy problems hit, it's when the datacenter need exceeds the capacity of nearby power plants.

If we want an alternative I think we'd need to try alternative training algorithms that are easier to distribute. Predictive coding for example can approximate backprop, but requires more compute. Something in that direction might work https://arxiv.org/abs/2006.04182
From the article:

"...it became too difficult for the state’s asparagus farmers to compete with Mexico, where the daily minimum wage is now about $14 . That's about nine times less than a California worker makes at the current agriculture minimum wage of $16 per hour."

Is that a typo? How does that come out to 9x ?
List of conversions, calculations and reference tools
For anyone interested in GC internals for a language that mixes low-level and high-level primitives*, I can strongly recommend watching Konrad Kokosa lectures on .NET's GC internals.

They are very accessible and only assume you have light C++ background.

https://www.youtube.com/watch?v=8i1Nv7wGsjk&list=PLpUkQYy-K8... (can be listened at 1.5 speed)

*i.e. all the "unboxed" primitives discussed in the original post.
Looks like all those resources burned up for an advanced chat bot are going up in smoke.

We had a good run. Met some good people along the way. Unfortunately it will end in the same way as “don’t look up”.

Enjoy your time on this planet. Stop grinding for a mega corporation.
I wonder what the numbers look like when restricted to 'companies that sound like good ideas'.

Not that that's a requirement. Some ideas famously sounded bad (Google had plenty of doubters?). But a lot of these AI and wearable things seem.. silly. I guess I'm getting old.
There is also hydroelectric, which the US can't grow in anymore because it already tapped all the river locations it could use when the US was industrializing, but China can because it is only fairly recently China had industrialized enough to start tapping its own rivers. Of course, once all the river sites in China are exploited, China's growth in that sector is completely done, so it's almost like a temporary boost more so than a long-term growth factor, for lack of better words.
The earth will abide. Perhaps humans will not. C'est la vie.
I imagine that falls into the chunk that did have a positive ROI.

My wife never completed undergrad. Worked her was to director level in the insurance industry. Hated it, got a masters, pivoted to something g she likes without any real pay cut (maybe for a year or two, but she’s now earning more than she ever would have in her first career).
If it takes 100 billion to train and run an llm then only companies with 100 billion can train and run an llm. That's their moat.
This is called capitalism and I really don't understand how people that tweet this think what economic reality is in the world and USA ? If only they could read and understand.
Maybe epaper price tags are suitable.

Not a badge, but maybe a start:

https://hackaday.com/2022/08/05/e-paper-price-tags-combined-...

Edit: more resources

https://hackaday.com/2022/08/04/liberated-e-ink-shelf-labels...

https://hackaday.com/2019/02/25/e-ink-price-tags-fall-off-st...
That's pretty cool.

I'm the author of vleam[0], which enables Gleam usage in Vue SFCs.

If there's one thing I missed building the LSP is an awesome-list, where I could find stuff like Multispy -- LSP resources weren't easy for me to navigate as a beginner.

[0] https://github.com/vleam/vleam
> No, you're not a serious or professional person.

For the record, I actually am.

But, like I said, if you were one too, you wouldn't be making mostly irrelevant digressions.
Why does the client have a listen port?

nsh config init -c server.yaml -n server --listen-port=51820 --ip=172.21.248.1
nsh config init -c client.yaml -n client --listen-port=51821 --ip=172.21.248.2

Typically, servers have easiest to configure NAT/firewall/port forwarding and clients (to me) are basically thought of as "not going to get through their router/firewall configuration no matter what".
Everyone is harmed by this, both directly and indirectly like via mass migrations and economic disruption.

It’s good for everyone if the Floridians can stay in Florida.
Do you have any citation on lack of funding for foundational research? From the looks of things, it seems like there is insane amount of money in AI and while maybe majority of it goes to "projects with high probability of success", whatever that means, fringe ideas seem to generate good amount of capital as well. Even (what I would consider to be) academic projects seems to get good funding [0]. On top of that, it seems like you're not saying that Transformers might be a dead end but Neural Networks itself might be one. At this point, NNs already gives a lot of value. If someone's goal is to just get products out that say diffusion models already helps you achieve, how is that even a dead end? Do you mean dead end for AGI? In which case, there seems to be research on alternatives there as well? [1]

[0] https://www.youtube.com/watch?v=rie-9AEhYdY

[1] https://ai.meta.com/blog/yann-lecun-ai-model-i-jepa
Not everyone has billions of dollars lying around. SpaceX couldn’t have beaten ULA if that was the case.

The truth is no one has the physical AI algorithm yet. Having cars equipped with cameras, big GPUs connected to can bus is the easy part.

Tesla has some advantage since they are spending the most on automation compared to other car makers.

However compared to Waymo, Tesla is quite behind. Waymo has done a million rider-only rides.

Tesla isn’t even certified to do driverless rides. The driver has to be at the wheel and all accidents are the driver’s fault.

Tesla also doesn’t take safety as seriously as Waymo. So Elon may be a net negative to the org.

If the competent Tesla engineers got similar car hardware to Waymo, perhaps they could have been competitive. LiDAR solves a whole bunch of vision problems and gives extra high quality signal for processing.
Why not? It's a good way to keep the spirit of retro sizecoding going but in a way that's easier to share on modern platforms.
It seems the video is comparing a different Mercedes driver assist system to FSD?
No experience building exactly what you're describing, but the Adafruit MagTag may work for you https://www.adafruit.com/product/4800.

I've only done so much as display text on it (json response from a server). Unsure how difficult it would be to connect a microphone input to it.
I am planning to switch to 90% allocation from next year, which effectively means cca 50 days yearly of paud vacation.

We have 4 mortgages on 2 properties, by no means we have 'enough' (whatever that means). QOL is for me by far of important metric, especially with kids.
Same as it ever was.

SV runs 80/20 on investors getting fleeced vs. vaguely realistic business models.
They all sound like good ideas, otherwise why would anyone waste their time?
> "People realised that they do like being around their families, and it gave many a sense of freedom"

I want to spend more time with my family and not have as many responsibilities, better start a startup.
It's companies at the scale of governments - which is a distortion of capitalism.
Do you know anyone in AI doing research on something that isn't Neural Networks?

They are very few. Too few.
Is the startup boom in the room with us?
So... a property manager. This is just fancy marketing for the same-old property management that can be found already just about anywhere?
Looks like you created a bespoke license for your tool, which is your perogative but also means many people won't even consider using it.