skysight-inc/HackerNews huggingface dataset:
They are making this increasingly difficult, though. I bought a Vizio TV years ago that came with a physical remote. At some point the firmware was updated in a way that the physical remote could only perform limited function, and to do anything slightly advanced (changing the input, brightness, things like that) you had to use their app. Which, of course, required connecting to the internet. Obviously this could have been avoided if I hadn't connected it to the internet in the first place and upgraded the firmware. But I didn't have that hindsight at the time. And I think some newer models don't even come with a physical remote. But, lesson learned: I will never even consider buying a Vizio ever again.
>when the dust settles we'll have LLMs significantly more powerful than the current cutting edge -- which is already useful.

LLMs, irrespective of how powerful, are all subject to the fundamental limitation that they don't know anything. The stochastic parrot analogy remains applicable and will never be solved because of the underlying principles inherent to LLMs.

LLMs are not the pathway to AGI.
Advanced AI will solve robotics as well, and do away with human physical labor.
I've recently built a gaming pc after decades of not having one, one of the reasons was MSFS. I'm not a huge gamer of FS expert but just having the possibility to use some of the amazing tools that the community built on top of it are worth it, for understandable reasons these are not available on the console version.

One example of such a tool would be Little Navmap which makes it possible to plan routes and use your iPad as a "GPS" device. There's some screenshots in my blog post about it, in case anyone is curious: https://blog.notmyhostna.me/posts/using-my-ipad-for-microsof...
It's not snark, it's calling out a fundamental error of extrapolating a short term change in progress to infinity.

It's like looking at the first version of an IDE that got intellisense/autocomplete and deciding that we'll be able to write entire programs by just pressing tab and enter 10,000 times.
I think the minority of people who do have the goal of "getting rich" don't understand this. Generally, people tend to assume that their own goals and worldview are roughly shared by most other people.
How do you prevent yourself or others from seeing banner/commercials around the city? Some cities are full of it. Just because you removed it from your phone or PC, it doesn't mean that there are no people who are affected by it by watching TV or while walking/driving around the city.
I used to do this too, now I mostly just game on Apple hardware or on Switch, which feels like the logical progression of what I was going for with less fuss.
We used 1.6 for a large project in 2014 or so, the 2.x release removed key features for us and we were never able to upgrade. The direction they went after that just never really worked for us so we only have that legacy project still running.
Alternatively, the aperture of the antenna on the satellite can be increased. So high-gain from space, but low gain on Earth, which is the approach of AST SpaceMobile.
> "Plausible-looking but incorrect sentences" is cheap, reflexive cynicism. LLMs are an incredible breakthrough by any reasonable standard

No it isn't. The previous state of the art was markov chain level random gibberish generation. What OP described is an enormous step up from that.
HP injects AI into its printers
We use this at my company and I'm a fan!
I had similar experiences:

1. Aasked ChatGPT to write a simple echo server in C but with this twist: use io_uring rather than the classic sendmsg/recvmsg. The code it spat out wouldn't compile, let alone work. It was wrong on many points. It was clearly pieces of who-knows-what cut and pasted together. However after having banged my head on the docs for a while I could clearly determine from which sources the code io_uring code segments were coming. The code barely made any sense and it was completely incorrect both syntactically and semantically.

2. Asked another LLM to write an AWS IAM policy according to some specifications. It hallucinated and used predicates that do not exist at all. I mean, I could have done it myself if I just could have made predicates up.

> But for anything even mildly complex, LLMs are still not suited.

Agreed, and I'm not sure we are any close to them being.
The point was about the retention of print jobs in queue, that it was a concept and option since the mid 90s.
I’m fairly pro-market, certainly more than most people. And I’ll agree that bans cost money, but it’s unclear how much for this specific instance. We may also “save” money for taxpayers who avoided sports betting losses because it was never shoved in their face (because the ads are banned).

I would also guess that banning an ad is cheaper than banning something like “dancing in public.” One is easy and affects few people or entities directly (basically the companies that want to advertise their sports betting business and those that can host it), while the other is impossible to truly ban because you’d need an army of police or a high tech surveillance state (which probably still cannot institute a full ban).
Your analogy is an improvement, but both of you are weirdly mapping "alcoholics" to "people who are interested in gambling". A valid analogy would speak of people who are interested in alcohol.

(Incidentally, the restaurant in your analogy would probably not be viable without that bar!)
And I would go further… these “common tasks” cover 80% of the work in even the most demanding engineering or research positions.
>he seems to want massive investment upfront with only vague ideas of what the technology could be used for

That sounds exactly like venture-funded startup thinking to me.
I'll take your statement that your conclusions are based on a 'depressed mind' at face value, since it is so self-defeating and places little faith in Human abilities. Your assumption that a person driven to write will "with a high degree of certainty" also mix up their work with a machine assistant can only be informed by your own self-assessment (after all how could you possibly know the mindset of every creative human out there?)

My optimistic and enthusiastic view of AI's role in Human development is that it will create selection pressures that will release the dormant psychological abilities of the species. Undoubtedly, wide-spread appearance of Psi abilities will be featured in this adjustment of the human super-organism to technologies of its own making.

Machines can't do Psi.
CouchDB was always a curious product that asked the question, "what would happen if your database and your application server were the same product?"

Unfortunately I think the answer was nobody would use it.
The cues you’re picking up on here are completely incorrect. This doesn’t require you to be rich.

In fact, I would consider his wardrobe to only be small/medium sized for someone into fashion.

I’ve spent >35k USD on my wardrobe in the last ~3 years and it feels medium/large sized:

- 2 suits

- ~10 pairs of pants

- ~30 dress shirts

- ~10 knitwear pieces

- ~8 jackets

- 2 pairs of jeans

- ~15 pairs of shoes

- 2 pairs of shorts

- ~10 ties

- Plus a bunch of casual t-shirts (Mostly long-sleeve)

This is only my current wardrobe, not everything I’ve bought.

Why have I spent so much money on these things? Because I had disposable income, I like fashion and I care very much about the quality of my clothes.

Per year spend also feels misleading. I have a big enough wardrobe now that I don’t really feel like I need more. It also means I can rotate stuff very frequently, so nothing will wear out quickly.

My spending is definitely down this year, and will be down even more next year.

Good outwear is super expensive but also the most durable items. Knitwear is also expensive, but can last a long time if you take care of it.
I really like this article and how you make it interesting! <a href="https://multiquip.co.uk/grind-and-shine/">multiquip grind and shine</a>
Yeah, I can play BG3 on low settings on my M2 Max comfortably (at native res) and the fan doesn't get very loud. But the rest of the time it doesn't come on at all.

The Rosetta games (which is most of them) suck though, and Crossover/Whisky is such a hit or miss experience.

On the other hand, with GFN I can turn everything up to ultra and it looks great, and there's no fan or noise at all and barely sips the battery.
Unless you are IBM.
> and '0.0.0.0' means "accessible only on the local machine"

I don't think that right? It just means "is available to be mapped out of the container", but you still have to use -p or such for it to do anything
C definitly belongs into the set of WAT languages.
Noam Chomsky and Doug Hofstader had the same opinion. Last I checked Doug has recanted his skepticism and is seriously afraid for the future of humanity. I’ll listen to him and my own gut than some random internet people still insisting this is all a nothing burger.
AI (or more properly, ML) is all around us and creating value everywhere. This is true whether or not we EVER reach AGI. Honestly, I stop reading/listening whenever I read/hear mention of AGI.
It is, an array and a pointer are different types. There could be ways to convert it to a pointer, but it shouldn’t happen at so many places, implicitly.
Collaborative text editing with Eg-Walker: Better, faster, smaller
Bcachefs.

You can do all sorts of really neat things. You can define pools of drives at different cache levels. You can have a bunch of mechanical drives for deep storage, some for hot storage, SSD to cache recently read files, then write-through from the SSD down to mechanical drives, either immediately or after a delay.

It's pretty much everything I could wish for from a filesystem, though I haven't actually taken the time to try it out yet. AFAIK it's still somewhat experimental, more or less in beta.
Requiring gambling to be done at established facilities or even the sports facility itself and limiting the bets to five dollars or some nominal amount would solve 99% of the problems.
> Some great grand ancestor of mine was a civil servant, a great achievement given his peasant background. The single skill that enabled it was the knowledge of calligraphy. He went to school and wrote nicely and that was sufficient.

Similar story! Family lore has it that he was from a farming family of modest means, but he was hired to write insurance policies because of his beautiful handwriting, and this was a big step up in the world.
When you do something that is extraordinarily hard, sometimes it takes longer than you expect. But now we're here: https://techcrunch.com/2024/08/20/waymo-is-now-giving-100000...
I agree. And whether or not Automattic gets the money or WordPress.org does matter, but so does the way any such transaction is structured.

If Automattic is an infrastructure vendor (in a technical sense at least) to WordPress.org, it’s still reasonable that Automattic doesn’t want to just give its competitors free infrastructure.

I own a hosting business that’s heavily built upon WordPress and even I — at a scale immensely smaller than WP Engine - CDN some of my critical plugins and themes myself. (For a lot of reasons.)

WP Engine is absolutely massive. The load they put on systems that they consume from isn’t trivial. Asking for remuneration from a competitor that is using your services, according to their means, isn’t anticompetitive.
> If humans can be fooled by artificial intelligence in pretty much all areas,

This is just preposterous. You can be fooled if you have no knowledge in the area but that's about it. With current tech there is, there can not be anything novel. Guernica was novel. No matter how you train any probabilistic model on every piece of art produced before Guernica it'll never ever create it.

There are novel novels (sorry for the pun) every few years. They delight us with genuinely new turns of prose, unexpected plot twists etc.

Also harken to https://garymarcus.substack.com/p/this-one-important-fact-ab... which also happens to include a verb made up on spot.

And yes we have cars which move faster than a human can but they don't compete in high jumps or climb rock walls. Despite we have a fairly good idea about the mechanical workings of the human body, muscles and joints and all that we can't make a "tin man", not by far. As impressive as Boston Dynamics demos are they are still very very far from this.
The load times are pretty terrible and game compatibility is 80-90%. But otherwise I are it’s a good deal. Great for turn based and rpg type games, but very mid for first person. I would recommend it with those reservations. Also I don’t think the high end tier is worth it because of the bandwidth inconsistency in their data centers.
Also causing lots of harm, too, e.g. police departments using AI systems that get the wrong suspect.
Raft: Understandable Distributed Consensus (2014)
GeForce RTX 5090
Not a specialist, but I think each individual is just a small step of gradient descent for the large neural network of humankind.

At our individual scale, we look like a rigid ball of statistics, but at the global scale, we carry a small amount of gradient/delta that pushes humankind in a broader direction.

LLMs have been able to reproduce the former, it is unclear how they can contribute to/replicate the latter.
I’m sure he’d love that comparison. But Elon is responsible for PayPal, Tesla, SpaceX, OpenAI and now Grok. I have a Starlink antenna on my roof because of him, and I take my kids to school safely and quietly in a car that, 15 years ago, someone willing to spend 20 million dollars would not have been able to buy. Sam? An iris scanning crypto scam. I think that’s all he ever got off the ground. With ChatGPT, he positioned himself at the right place at the right time. And by dubious means, too.
> The winter after this is gonna be harsh.

The winter is going to be warm because of all the heat generated by GPUs ;)
The overwhelming majority of the water does not go to Las Vegas (https://en.m.wikipedia.org/wiki/Colorado_River_Compact) — Nevada is only allocated 4% of the total water drawn from the Lower Colorado River. Las Vegas gets blamed due to its proximity to Lake Mead and the fact that it is in a desert, but it’s actually adopted aggressive water control measures over the years (see https://www.snwa.com/conservation/understand-laws-ordinances... for recent examples).

Also worth noting that while the colorizations of these satellite photos tend to paint the city in green, it is NOT very green at all. Clark County deprecated lawns ages ago by banning new ones and paying people to remove their existing lawns to replace with desert landscaping.

But that can only help mitigate the overdraw of the Colorado so much when 96% of the water is going to places that have much less stringent water conservation policy.
> the tax write offs Automattic will have been claiming for years

How? There's exactly zero dollars of donations from Automattic in the Wordpress Foundation financials.
https://projects.propublica.org/nonprofits/organizations/205...

(It would be quite defensible for Automattic to claim they're donating many millions in-kind every year, but they don't seem to be doing it.)
I do certainly see how batteries are extending the renewables supply. I also see that there's still a lot of work to do: https://app.electricitymaps.com/zone/US-CAL-CISO
The original article I was referring to is the NYT piece, which covers more of the complexities around chip manufacturing and energy needs. While the Tom's Hardware article draws from it, the summary focuses more on personality clashes, losing some of the nuanced details about supply chain challenges.
I would actually welcome that. It would make building small pcs way easier. And make upgrades and swaps a breeze
IBM Watson was more than a couple years back. The Jeopardy event was in 2011. It's currently 2024. As for cars, I don't know what you're referring to specifically, and the hype is still ongoing as far as I can tell.

It has taken 10+ years to get to present day, from the start of the "deep learning revolution" around 2010. I vaguely recall Uber promising self-driving pickups somewhere around 8-10 years ago. A main difference between current AI systems and the systems behind the cyclical hype cycles ongoing since the 1950s is that these systems are actually delivering impressive and useful results, increasingly so, to a much larger amount of people. Waymo alone services tens of thousands of autonomous rides per month (edit: see sibling comment, I was out of date, it's currently hundreds of thousands of rides per month -- but see, increasingly), and LLMs are waaaaay beyond the grandparent's flippant characterization of "plausible-looking but incorrect sentences". That's markov chains territory.
i know a lot of writers who don't use ai. in fact, i can't think of any writers who use it, except a few literary fiction writers.

working theory: writers have taste and LLM writing style doesn't match the typical taste of a published writer.
The entire concept of inflation comes from the fact that various Med. cultures figured out you could issue coinage with a high percentage of gold and then slowly drop the percentage over time to increase the purchasing power of the government. It got insanely bad at some points, with "gold" coinage being less than 50% gold. Inflation wasn't just constant, it was an everyday fact of life.
Instead of hunting globally for places to power more and more AI,
Perhaps instead electricity usage should be frozen at some level
and it would be up to the AI chip makers to produce solutions
that gives more calculations for the same amount of power.

Which has been a huge factor in data center servers from what i know
for a long time. Somehow that has been forgotten
I can't understand how anyone can use these tools (copilot especially) to make entire projects from scratch and expand them later. They just lead you down the wrong path 90% of the time.

Personally I much prefer Chatgpt. I give it specific small problems to resolve and some context. At most 100 lines of code. If it gets more the quality goes to shit. In fact copilot feels like chatgpt that was given too much context.
The relevant paragraphs from Ritchie's paper are not just what you quoted (much of your comment is not relevant) but much more;

For each object of such a composed type, there was already a way to mention the underlying object: index the array, call the function, use the indirection operator on the pointer. Analogical reasoning led to a declaration syntax for names mirroring that of the expression syntax in which the names typically appear. Thus,

int i, *pi, **ppi;

declare an integer, a pointer to an integer, a pointer to a pointer to an integer. The syntax of these declarations reflects the observation that i, pi, and ppi all yield an int type when used in an expression. Similarly,

int f(), *f(), (*f)();

declare a function returning an integer, a function returning a pointer to an integer, a pointer to a function returning an integer;

int *api[10], (*pai)[10];

declare an array of pointers to integers, and a pointer to an array of integers. In all these cases the declaration of a variable resembles its usage in an expression whose type is the one named at the head of the declaration.

The above can be summarized as the following two points;

1) "Declaration reflects Use" (from K&R C book)

which leads us to the corollary,

2) Syntax is variable-centric rather than type-centric i.e. You look at how the variable is supposed to be used and then work out its type.

> To be fair to Ritchie though, it is not his fault, but rather a fault of the whole software community that was fixated on this ancient language designed for specific purposes way too long.

Again, this is completely baseless and merely your opinion. I have already pointed out the main design goals which drove its design and the fact that it is still relevant today is proof of that. The "simplicity" of its very design is its greatest strength. The fact that modern needs (eg. Strong Type Safety, Multi-paradigm, Security, Concurrency etc.) require us to design/seek out more language features is not a reflection on the language itself since it was designed well before these "wants" became "needs". On the other hand the various extensions of C (eg. Objective-C, Concurrent-C, Handel-C etc.) are proof of its versatility and extensibility and hence its enduring relevance.
Did you take a look at the code generated? Was it well designed and amenable to extension / building on top of?

I've been impressed with the ability to generate "throw away" code for testing out an idea or rapidly prototyping something.
For me, the problem has gone from “figure out the author’s agenda” to “figure out whether this is a meaningful text at all,” because gibberish now looks a whole lot more like meaning than it used to.
An Update on How We're Building Third-Party Chats for Users in Europe
Arguing over terminology like "AGI" and the verb "to know" is a waste of time. The question is what tools can be built from them and how can people use those tools.
>Your number comes down to $100k per person per year. That’s just insane. Many families earn less than that (post-tax)!

That's not nearly as bad as I was expecting considering that for every 1-2 prisoners there's a ~$100k employee.
I mean LLM can go through all the files in a source code and find repetitions that can be abstracted. Reorganize files into more appropriate structures etc. It just needs an optimal algorithm to provide optimal context for it.
Irrigating existing grass with Colorado River water is banned effective 2027.
If you like Cursor, you should definitely check out ClaudeDev (https://github.com/saoudrizwan/claude-dev)
It's been a hit in the Ai dev community and I've noticed many folks prefer it over Cursor.
It's free and open-source. You use your API credits instead of subscription and it supports other LLMs like DeepSeek too.
Training costing billions can't be. Biggest line item would be salaries. Probably.

Also, revenue you can't take home. Doesn't matter how many billions.

It is the profit that matters in the end.
I imagine that means that he observes a lot and thinks a lot before he acts. Which is great. I just wish that he had some higher God than fame and power.
> Build fabs

Such a misguided take.

If it were that easy to build fabs to compete with TSMC, Intel would do it. China would do it.

Hardware is way harder than software.
Show HN: Peripheral – test and train peripheral vision in browser
Is your app in the Play Store?
Goodhart's Law in Healthcare: How Mortality Metrics Endanger Patients
If you are looking for an alternative to Chartable for checking the charts on Apple Podcasts and Spotify, please have a look at my app: http://podashapp.com
Upon reflection I believe polarization helps to draw attention.

We love black and white as species. Nuances get lost way to often.
It is good to have different people in the world. The article starts with "Have you ever wondered whether expensive clothes are worth their price?" I have never wondered that, no. I'm 49 years old and I'm not sure I have ever purchased an expensive clothe.

I have, however, wondered whether an expensive screwdriver is worth its price, but I have not collected the data to support my Wiha habit.
I have to wonder whether there's a magma where equation 4 holds while equation 7 (commutativity) doesn't. Off the top of my head, I can't think of one but does that mean there absolutely can't be one, like the depicted graph implies?
The library of games suck on Mac, but I realized my backlog has gotten so huge that I will still never run out of games that run well on there. I've got BG3 in my backlog, but I figure I'll wait until I get a new machine in a few years before I try running it.

My work machine is a M2 Max and I have a studio display. Every day I fight the temptation to install Steam and load up No Man's Sky on it...