skysight-inc/HackerNews huggingface dataset:
Unless there is a change in how autonomous driving software is trained, it seems Tesla is destined to dominate that market, right?

Tesla has the most training data consisting of video input + corresponding driver behavior. And they have the most compute power.

Which twist of fate could happen, so that Tesla falls behind in the future?

I could imagine that there is an invention which lets AI learn about the world by just observing and thinking. Without the need for "training" in the form of "if you see this, do this". But as far as I know, this is not on the horizon yet.
Consumer Reports must have done similar tests to what is seen in the video (eg. just driving with these systems), yet they came out with the result that they did. What happened there?
I am really surprised by how tunnel visioned top scientists, VCs and CEOs are in the AI space.

This whole movement of simply increasing compute or throwing in more data to hopefully attain AI results is just a dead end.

This is like saying if human beings just flap their wings hard enough, they will be able to fly like birds.

We need to finance original research, alternative research and think of working on an actual theory of intelligence.

The stage AI is at right now is more like the Ptolemaic model of the universe.

We need a Galileo and Kepler of AI. Maybe they already exist but are being marginalized by the current establishment?
Java is uncool, and to some people there's nothing scarier than not looking cool.

Java is great. Solid ecosystem, solid performance, decent memory safety story, tons of production experience, etc.
By many accounts, Tesla FSD has improved rapidly, now feels "very human," and will soon have greater adoption than any other self-driving software.[a]

Speaking from personal experience, I've tested the most recent version of Supervised FSD, v12.3.6, and it's much better than most people realize.

Once Tesla stops requiring human supervision, I expect FSD adoption rate to go "hockey-stick."

---

[a] Based on a conversion rate for Tesla "Supervised FSD" free trials of ~2%: https://old.reddit.com/r/RealTesla/comments/1cp5pgj/tsla_fsd...
Wow they really want to make childcare unaffordable.
I was surprised to see so many driver interventions on the Mercedes side - 44 vs 0 by the end of the 20 minute video. Maybe that's why it's branded "Driver Assist" and not FSD, so not a true comparison.

Also, a little funny to see a random Model Y appear just ahead of the Mercedes at the end of the video.
This looks awesome, well done.

I'm curious, what are your thoughts on AllTrails?
Thanks! I ask because I tend to put business logic into a few broad categories: input validation, data transformation, sequencing, integration. The database can usually handle the first three out of these four well. That tracks with your "complex calculations, validations, or workflows" as well as "format and transform to prepare data for presentation in JSON." PostgreSQL is as good as or better at these tasks than any general-purpose programming language, in my view.

Where it gets tricky is with "interact with other systems or services to fetch or send data." While I personally would be cautious about this for purely architectural reasons that go well beyond how it's implemented, "the customer is always right." If I were consulting for a customer who wanted to integrate with external systems, I do have a few tricks up my sleeve.

What I hope you'll take away from this is that "business logic" isn't the show-stopper that people tend to think it is when considering building applications in the database. Pretty much all of it can be done. Some kinds of business logic can be handled quite naturally. Other kinds perhaps less so, but it can be done.

People may still choose not to do so for various reasons, and that's fine, but there usually aren't technical barriers to putting business logic in the database.
> Or we could forbid poor people from getting their desired degrees altogether, what you describe is the same thing but with more steps.

We probably should.

There's little difference between "I graduated with an uneconomic degree, and then failed to get a job in that market and/or labored under student debt I'll never be able to pay off" and "They wouldn't give me money for an uneconomic degree".

If anything, the latter is kinder because it nudges the college student into either funding their own uneconomic degree up-front (if they can find the money) or making other decisions.

It's always seemed insane to me that we let 18-year olds, sometimes with little financial education, make decisions that will benefit or haunt them for the rest of their life with so little guidance. (And college counselors have very conflicting incentives)
I’ve only ever seen “this ^” refer to the parent comment, not the one directly above it as you mention. So as long as the comment hierarchy is maintained (which it is on HN) then the reference is clear
They've been doing that for years, yeah. Media said it wasn't related
Please elaborate more than "haha java bad"
Tbh All of that seems cool to me: my chip8 emulator, of all things, compelling people to port it to the Switch, and showing up in LLM.

Different strokes.
Between ginger bill (the creator of odin lang) and gingerbeardman, nordic redness is really having its moment in the sun! Tim Minchin, we need you back to narrate.
That visual sensors only seem like they make no sense when they can get obstructed by weather
It isn't surprising to me because the standard of journalism seems to be one of "debunking". In this approach you start with something that you don't like, in this case Mond, something you do like, usually the status quo, and then throw a bunch of pasta at the wall in the hope that something will stick with the reader. There is usually little to no attempt at an honest review, only a biased statement salad. It's pretty depressing, but I guess it sells ads and doesn't bother the establishment.
What's "edgy" about that comment?

That comment is a concise and literal description of what the North American college/university experience has been for decades now, if not much longer.

It does cost a relatively large sum of money to attend college/university in North America. Student loans, scholarships/bursaries, tax shelters like RESPs, and government subsidies wouldn't be so necessary and so prevalent if college/university was something that most students could easily afford.

Regurgitating information is literally the core of the North American college/university experience. The students attend class to hear what the professor/lecturer wants them to hear. The students then do assignments and mid-term exams to practice regurgitating that information. The students finish it off with a final exam that once again involves regurgitating that information yet again. Any student who puts in independent thought, or who doesn't repeat what they were told, will not do well.

As for a "citation", pretty much anyone who has gone to college/university in North America will know just how true that comment is.
related, https://amathew.wordpress.com/2010/02/17/kahler-differential...
Perhaps the more apt analogy is that we need "a John Von Neuman" to come and organise the pieces to give us that leap.
The Flawed Equation of Happiness–and How to Fix It
Build Customer Engagement Platform (CEP) on Top of Your Data Warehouse (2022)
>The relationship between availability of guns and the amount of gun violence is extremely well-established.

Its also hard to prove which causes which. In some capacity, violence itself necessitates guns. Both statements could also be true at the same time. or playing the devils advocate, the increase in violence causes higher gun ownership, but once the ownership is there, reducing violence might not reduce gun violence itself.
The other part of the story is a Master's degree is a good segway to a career change. So what if the cost is too high. I need a career change.
A couple months ago I finished translating a simple generational garbage collector from MIPS[1] to x86-64 assembly[2], so that programms emitted by my toy compiler[3] run on the actual hardware instead of a MIPS emulator.

And sure enough, I had introduced a few bugs along the way. Here is a part of just one commit message:

> NoLeak-InsertionSort.cool exposed a problem where we make a copy of a prototype object
to pass it as `this` to the constructor. But while evaluating all the other constructor
parameters the copy gets promoted to Old Area. As a result any assignments the constructor
makes end up recorded in the assignment stack. So that the referenced objects survive the
next minor collection whereas they shouldn't have otherwise.

[1]: https://theory.stanford.edu/~aiken/software/cooldist/lib/tra...

[2]: https://github.com/mykolav/coollang-2020-fs/blob/master/src/...

[3]: https://github.com/mykolav/coollang-2020-fs
Google gave investors a $70B buyback,and laid off 12,000 people
this and also some people study simply out of curiosity about something.
I couldn't actually find the amount of data that Tesla uses for training, but I'm curious: how much is it, and is it larger than what comma.ai has?
And yet speed limit detection and phantom breaking in my Tesla has only gotten worse the last year, or do FSD improvements not trickle down to non-FSD?
I am an outsider to the space, but I feel this sentiment.

It appears that a lot of breakthroughs came from further understanding how the brain works but we are just trying to brute-force our way to do harder things.

(And our brains also do things that AIs cannot even when running on a few salads a day.)
Always trust the fact checkers.
If you backup the "seed" hotp secret you can probably use any OTP client software to open the DB without needing the yubikey
at least there is a bit of poetic justice here: the people suffering for this stupidity are the people responsible for it <3

of course, being stupid,they refuse to call themselves into question, which blocks them from changing their behavior, which will lead to more suffering on their part...
I always think of it like this - what job would you rather have your kid get into, working in construction, or as a lawyer arguing for or against that construction? One job is both a lot cushier and happens to pay multiples better.
Reading the author's explanation of how Quora became awful by using AI to generate questions gives me a view into the dystopian future where the deluge of AI-generated books on Amazon pollutes and undercuts the whole concept of "knowledge found in books." Instead, we will have books with the verisimilitude of knowledge because the authors did not have the expertise or ambition to edit out the hallucinations.
Stack Exchange Data Dump [Archive]
The Art of Using a Paper Notebook in App Development
The prices thing doesn't work well here because 1) the government has intervened, and 2) it's based on debt - the price of which is also controlled by the government/central bank. It's a skin-in-the-game problem. If education was at least partially funded by equity, the investor in the person receiving the education, be it a private investor, company they'll work for, or even the university itself, would have taken on the risk for failure to produce any sort of ROI. I say partially, because I believe there is some merit in government subsidy for certain fields, but more of that should go towards reducing the cost of university facilities, on-campus accommodation, labs, libraries etc. rather than student finances.
TLDR: Flatcar is adding systemd-sysext to allow users to customize the system and there is a repository of prebuilt extensions.

https://www.freedesktop.org/software/systemd/man/latest/syst...
How do Mercedes and Tesla differ in terms of accountability when there is inevitably an accident? Tesla is known for turning off their assistance at the last possible moment in order to blame the driver. Mercedes assumes liability.

Seems like that is the real debate. Tesla weasels and whines, Mercedes steps up.
It’s well over 1% of their gross revenue and why your coffee shop didn’t need to raise prices as much as your burger joint.

Also independent coffee joints generally get pricing wrong from a business perspective. But that’s a different question.
I don't think any of these things are viable on the lower end of 5 figures.

People aren't realizing just how financially tight and desperate poorer people are getting right now
You can book a robotaxi now with Waymo. Tesla has been promising that for years.

Tesla may have been first to seriously try but currently there's no evidence they will be first in anything compared to their competitors.
Right, my point is that everything about a scene should sound cold. Foley work can get you some of the way, but the ambient temperature is probably less like a prop and more like white balance. Since no one is approaching it that way, it never sounds right. If you didn't grow up in the cold you probably never noticed, but few movies ever properly convey it.
RAG with PostgreSQL
This is great!

I've always thought that if I could change one thing about Elixir, it would be to add exactly this shorthand syntax that I'm used to from JS. I'm sick of having to type everything twice, like e.g. `%{foobar: foobar}`.

I'm impressed to see it implemented. I didn't know it was possible to pass custom compilers to your Mix project definition - but now that I think about it, I can see how Elixir's metaprogramming features would lend themselves well to implementing custom syntax like this.

Fantastic work, all I want to know is why Elixir doesn't have this syntax built-in already.
If Western Automakers Aren't Terrified of Chinese EVs, They Probably Should Be
Exactly. Equality of opportunity, to the extent achievable, is important to preserve. But it needs to be done in a way that universities don't simply absorb any funding by raising tuition.

IMHO, we should start by taking the ACA approach on admin overhead.

I.e. If you want federal loans/grants to be usable on tuition at your institution, here's the administrative cost ("funds not directly spent on teaching") cap.

If you exceed that, then you must rebate students the overage.
Belong Home: "No more landlords or tenants"
they seems to be very far ahead of anyone else, the new versions are pretty insane.
Because reposting is quite common on HN. Do you think everyone knows about every single thread that has been posted on HN in the past?
Proponents assert that SMRs would cost less to build and thus be more affordable. However, when evaluated on the basis of cost per unit of power capacity, SMRs will actually be more expensive than large reactors.

That's not what affordable means. People are building smaller reactors because it's more likely that a project will be completed, not because of unit costs.
Given the concerns voiced by others, I'd like to share my experience as well, which might be relevant information for those considering applying.

After a short interview I was given a take-home assignment, which I completed few days later. Completing the assignment required some hours. After several days without receiving feedback, I sent an email asking for information and received no answer.
If we assume this is true, then it's a massive problem for AI. Building energy infra is slow and hellishly expensive. Near and medium term use cases just aren't compelling enough to start upgrading the power grid.
The U.S. doesn’t spend most of its budget on “foreign governments”. The reason public services in the U.S. are so bad despite such high taxes is extreme inefficiency.
Negative ROI means you end up paying for the privilege of having your job vs not having the degree at all.

A negative ROI bachelor means you could work as a cashier and earn more in net than someone who gets an expensive degree and a job that is not paying enough to offset the student loan.

A negative return master means that you would earn more in net if you stopped studying after your bachelor. In other words, you are sacrificing your bachelor earnings edge to get a masters, which is why it is more common for a master to have a negative ROI. You're already "rich" after the bachelor.
they are collecting 1B miles of data every 2-3 months

https://www.autoevolution.com/news/elon-musk-explains-the-la...

they will be using 85K H100s (up from 35K now) for training by the end of 2024:

https://www.shacknews.com/article/139619/tesla-ai-training-n...
It was probably unrelated:

https://en.wikipedia.org/wiki/2024_Persian_Gulf_floods#Cloud...
I think we're all suffering
Some of those very really ones are starting to look like karuta card symbols
Give Vinland Saga a go, for some gripping historical drama.

Or Bartender: Glass of God (the ongoing 2024 series), for stories in a real-world setting.

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.
Truth is much simpler. The rain volume was unanticipated, no matter what government was there, the catastrophe would still happen.

As you wrote, the left governed there for decades, and no adequate containment for this event was built, nor it was built by the following center-left following governments. There was never a right or far-right government there since the 70s. Unless you are referring to Bolsonaro, but then it would be weird since he’s already superseded by the worker’s party by a year and a half now.
Ah yes, the “diversified services oriented economy” scores another win.
> open source weights but the corpus is secret

This is oxymoronic; the corpus is the "source". Yet this usage of "open source" is widespread. Maybe we should start calling such models by their rightful name, "freeware".
They can use every Tesla vehicle for training. They definitely have more data than anyone.
I enjoy working in Java. I would probably enjoy C# just as much. Life is too short to spend it debugging segfaults.
My point is not that you can make a good income doing blue collar work (you generally can't) but rather that some people do make a reasonable income doing that type of work, and in those cases there's a good explanation.

> Roofing is an incredibly simple job to learn for instance, and it pays little better than minimum wage.

I can't speak to your area, but doing roofing on tall houses/buildings with a steep slope here pays much better than working on relatively flat roofs or one-story houses.
> We can therefore assume the annual salary is paid in compensation for the amount of work produced during the year. It is only divided in monthly installments for convenience.

This isn’t quite how I think about it. You’re provided an annual salary in order to be an employee of the company for the year. And since you’re not on the clock, the company is trusting you to perform some expected amount of work over the course of the year. They’re not paying you for your time so much as your loyalty.

To counter your 250 days of vacation example, some companies offer unlimited vacation to salaried employees. This isn’t a hypothetical: some companies advertise unlimited PTO because they trust that their employees will work in the company’s interest over the course of the time that they’re receiving a salary.
Ask HN: Fast/cheap epaper badge for real time speech to text with deaf friends?
I'd like an epaper badge I can clip on my lapel so deaf friends can read what I'm saying without having to look away too much.

This does the same thing: https://www.nordicsemi.com/Nordic-news/2022/05/Satellite-Displays-Badger-smart-badge but I'd like to make my own for cost reasons but also I'd like it to be as close to real time as possible. Latency matters when you are trying to have a conversation - if its close to real time then the conversation can start to flow.

Cost matters. I don't mind if I have to home cook it with a bit of programming.

I'm guessing maybe an esp32 epaper device that transmits via network to a local server running a fast implementation of OpenAI whisper.

Has anyone done or seen anything like this? Care to share experiences?
Either way - if/when that breakthrough happens would you rather have n compute or n^4 compute ready to go?
That's not exactly true, just the other day Snazzy lab complained about a MBP M3 Max throttling and making a lot of fan noise.

Those are barely competitive with the heavier but more powerful gaming/creation laptops Apple's aficionados keep deriding (if it has a 4090 it's not even competitive).

They have focused on mobility (power consumption and size) at the cost of everything else.

For this exact reason their desktop offering is really not competitive with offering around the same prices in the PC world. The only thing they do better is size (considering you can make a 3-4L top of the line PC; the Mac Studio isn't even impressive) and power consumption. But who actually cares, even if using a desktop heavily its consumption is dwarfed by most other use in a typical house, so whatever?

Thin and light are indeed a small use case overall and people who care about that have a ton of decently good options in the PC world already. It's not like the performance per watt benefits of Apple Silicon is really that relevant to most potential customers. If one is content enough with such a laptop, using it for the typical light task, thin and light PC laptops are just small enough, silent enough and have good enough battery life for the most part.
Tokenizer training doesn't scale as well as model training, so general practice is to train on a subset of the full corpus.
The paper mentions some reasons why these quick fix ideas are not as simple as it sounds. For example many rare tokens are “intermediate” merges inside the BPE algorithm, shorter prefixes of longer words. The long word is common, but its earlier, intermediate merge is not, by itself.
The main cameras are behind the windscreen, so cleaned by the wipers
Succession at Apple: The Insiders Poised to Take over Top Roles
I would expect that they have access to the cameras of all Teslas on the road, which should be about 5 million:

https://www.statista.com/statistics/502208/tesla-quarterly-v...

And I would expect that those generate more data than they can crunch, so that the bottleneck is the number of GPUs they have.

They recently reported that they have the equivalent of 40k H100 GPUs:

https://twitter.com/marekgibney/status/1784133742983860307
A meta comment: the level of attention people are putting into their responses is wonderful. No trolls (except perhaps for those two deleted comments, which itself is great). Nobody trying to score points. Just people being helpful.
That's not what the article says.

> This vastly expanded the FSD testing pool, with the Tesla fleet adding 1 billion FSD miles every 2-3 months

It doesn't mean they collect the video feed and all input from every second of those miles. Just that the FSD drives those miles.
it doesn't need to take an evening just something simple can be a great indicator
Of course it doesn't make any sense to you, we've already identified the reasons. Or the main reason.

The last sentence really defines you. You feel mighty and powerful don't you, you know it's your time and nothing can stop you. Here's a song you can sing to celebrate this accomplishment:

https://youtu.be/_tUctFu46_c?feature=shared