skysight-inc/HackerNews huggingface dataset:
> What's our excuse?

There exist no such thing as "out-of-band signaling" in nature. It's something we introduce into system design, by arranging for one part to constrain the behavior of other, trading generality for predictability and control. This separation is something created by a mind, not a feature of the universe.

Consequently, humans don't support "out-of-band signalling either. All of our perception of reality, all our senses and internal processes, they're all on the same band. As such, when aiming to build a general AI system - able to function in the same environment as us, and ideally think like us too - introducing hard separation between "control" and "data" or whatever would prevent it from being general enough.

I said "or whatever", because it's an ill-defined idea anyway. I challenge anyone to come up with any kind of separation between categories of inputs for an LLM that wouldn't obviously eliminate a whole class of tasks or scenarios we would like them to be able to handle.

(Also, entirely independently of the above, thinking about the near future, I challenge anyone to come up with a separation between input categories that, were we to apply it to humans, wouldn't trivially degenerate into eternal slavery, murder, or worse.)
The uncertainty is the real problem. Not the tariffs. Tariffs this week. None next week.

Not to mention the cronyism - we all can’t fly to Mar A Lago to get exceptions for our businesses in exchange for favors.
Congressional hearing reveals deep concerns about federal surveillance practices
> I was specifically calling out being able to do so (easily) from within the ORM itself

But, as I said, even if it isn't built-in, it doesn't make any difference, does it? Either way there is no reason to throw a perfectly good ORM out the window just because in some cases it isn't the right tool for the job. Surely you agree? That was my interpretation of the intent of your earlier comment.

While it may be true that ORMs today are of SQLite quality, the original commenter's point still stands: You need to make sure that is the case, else you are going to quickly wish that you did write it yourself.

> So half of devs in the country make less than that.

You may take things a bit too literally, but if you want to go down this road, do you truly believe that half of all devs have learned all the lessons there are to learn in software? Color me skeptical. 0.01% is likely even pushing it.
> And what happens to those coders? For that matter--what happens to all the other jobs at risk of being replaced by AI?

Some will manage to remain in their field, most won't.

> Where are all the high paying jobs these disenfranchised laborers will flock to when their previous careers are made obsolete?

They don't exist. Instead they'll take low-paying jobs that can't (yet) be automated. Maybe they'll work in factories [1].

> I seriously oppose such a future, and if that makes me a Luddite, so be it.

Like I said, the Luddites were right, in the short term. In the long term, we don't know. Maybe we'll live in a post-scarcity Star Trek world where human labor has been completely devalued, or maybe we'll revert to a feudal society of property owners and indentured servants.

[1] https://www.newsweek.com/bessent-fired-federal-workers-manuf...
Trump raises tariffs on China to 125% announces 90 day pause for other countries
So the 90-day tariff pause "fake news" wasn't fake after all...?
don't forget insider trading in congress.
With the levels of money involved, highly likely its all wrapped in legal fuckery.
And Lesotho, a country Trump had apparently never heard of.
This seems to ignore the mixed record of video generation models:

For visual reasoning practice, we can do supervised fine-tuning on sequences similar to the marble example above. For instance, to understand more about the physical world, we can show the model sequential pictures of Slinkys going down stairs, or basketball players shooting 3-pointers, or people hammering birdhouses together....

But where will we get all this training data? For spatial and physical reasoning tasks, we can leverage computer graphics to generate synthetic data. This approach is particularly valuable because simulations provide a controlled environment where we can create scenarios with known outcomes, making it easy to verify the model's predictions. But we'll also need real-world examples. Fortunately, there's an abundance of video content online that we can tap into. While initial datasets might require human annotation, soon models themselves will be able to process videos and their transcripts to extract training examples automatically.

Almost every video generator makes constant "folk physics" errors and doesn't understand object permanence. DeepMind's Veo2 is very impressive but still struggles with object permanence and qualitatively nonsensical physics: https://x.com/Norod78/status/1894438169061269750

Humans do not learn these things by pure observation (newborns understand object permanence, I suspect this is the case for all vertebrates). I doubt transformers are capable of learning it as robustly, even if trained on all of YouTube. There will always be "out of distribution" physical nonsense involving mistakes humans (or lizards) would never make, even if they've never seen the specific objects.
> I'm curious as to why that is

Seattle has added some extra fees and pay requirements for drivers that drive up the cost of a ride share. In retaliation to these laws, ride share companies have also raised prices.

An Uber from my house to the SeaTac airport used to cost about $30 5 or 6 years ago. It's now around $100. A taxi is about $80 now. Paying for parking is cheaper now than either of those options.
Paul Graham had a recent blogpost about this, and I find it hard to disagree with.

https://www.paulgraham.com/writes.html
> HOWEVER, we can still course correct. We need to organize, and get the hell off social media and the internet.

Given what I know of human nature, this seems improbable.
>How does separation of powers work in the US? could Trump decide not to prosecute let say financial fraud in general?

He can "do" essentially anything, per the supreme court. For 250 years we had norms and customs and decorum and shame that kept things from escalating to a constitutional crisis. But that has all been so thoroughly broken at this point that literally no one knows what will happens next. One thing is certain, that there will be no way out of this but elections.
Side question: how can I introduce my son to the joys of Tetris? Is there a good game available somewhere currently? I tried to find one for the iPad, but came up empty-handed.
That's an interesting paper and worth reading. Not sure it has answered my question but I did learn some things from it that I had not considered.

This was the quote I resonated with :-)

"... the discoveries we highlight here only capture a small fraction of the mechanisms of the model."

It sometimes feels a bit like papers on cellular biology with DNA discussions in which descriptions of the enzymes and proteins involved are insightful but the mechanism that operates the reaction remains opaque.
I'm curious why people think business is so underrepresented as a user group, especially since "analyzing" 30% of the Bloom Taxonomy results. My dual theories are:

- LLMs are good enough to zero or few-shot most business questions and assignments, so n.questions is low VS other tasks like writing a codebase.

- Form factor (biased here); maybe threads-only aren't best for business analysis?
I had fluoride treatment at the dentist instead city application. It was pleasant tasting and took minutes. You don't swallow it so is local only.

Anecdotal, but I am 40 and have never had a cavity. rarely floss and brush <2 times per day.
>Not fully of course, they edit the output using their expertise

Surely this is sarcasm, but really your average schoolteacher is now a C student Education Major.
Unlike a lot of supercomputer algorithms, where fp error accumulates as you go, gradient descent based algorithms don't need as much precision since any fp errors will still show up at the next loss function calculation to be corrected, which allows you to make do with much lower precision.
At this point, it would be easier to stick to in-person assignments.
How do you integrate this with unreal engine 5.5
All adults were once children and there are plenty of adults who cannot read beyond a middle school reading level or balance a simple equation. This has been a problem before we ever gave them GPTs. It stands to reason it will only worsen in a future dominated by them.
Oh man we get to look forward to these shenanigans for a long time to come, huh?
Just speculating. I would also guess maybe Russian and Chinese candidates have more domestic opportunities or the NK government sponsors more activity like this.
I mean only one of those is a bullshit job.
If you didn't see this coming when he launched a memecoin then I don't know what to tell you.

> Per Blanche’s memo, which was circulated on Monday, the Justice Department is dropping litigation and enforcement actions “while President Trump’s actual regulators do this work outside the punitive criminal justice framework.”

Elon Musk and Russell Vought have been trying to kill the CFPB and the SEC is toothless now so what financial regulators is he talking about?
Cool indeed, but this is my favorite cycle picture. [1] It's technically a tricar, but given the handlebar controls and lack of bodywork, I think it qualifies. The vehicle is a Mototri Contal practicing for the 1907 Peking to Paris race [2]. These guys look like they want to win! They didn't, almost dying in the process. The passenger is a journalist. Motor-journalist Denis Jenkinson [3] did something similar later, acting as navigator for Stirling Moss in the 1955 Mille Miglia race, which they won.

[1] <https://ccnwordpress.blob.core.windows.net/journal/2019/02/M...>

[2] <https://en.wikipedia.org/wiki/Peking_to_Paris>

[3] <https://en.wikipedia.org/wiki/Denis_Jenkinson>
DeepCoder: An Open-Sourced 14B Coder at O3-Mini Level
Nice, played around with it for some time and got a project workspace set up quite fast. Excited to see how far it takes me!
JKR's net worth is less than a billion, which means she's probably not raking in over a billion annually.
Then they can use one of the 14 in the `tests` directory :) https://github.com/reteps/dockerfmt/tree/main/tests
The comparison was with Warhammer, not Rowling.

Warhammer requires designers, moulding experts, warehouse staff and so on.

Games Workshop is a public company, in case you want to look up their accounts for the comparison.
In a computer lab I hung out in back in college...

We used rcp to keep passwords in sync. Add the account on the main machine, rcp the password file to the other machine. sudo rcp /etc/password other:/etc/passwd was muscle memory.

One day, someone was getting added to the groups file to be able to work in the server web project. sudo rcp /etc/group other:/etc/passwd

Ooops. Couldn't log in to fix it.

"Is anyone logged into the other machine?" (someone said yes). "Type while 1 sync" ... (ok) ... And we flipped the power switch and brought it up in single user mode (since the password file was invalid). Next, need to establish a minimal /etc/passwd ... emacs /etc/passwd (nope) vi /etc/passwd (nope - invalid terminal 300h not in termcap). "Uhm... cat > /etc/passwd ?" (possible, but a PITA when there is a typo in transcription)

I was a wizard on a lpmud. "I know ed".

And we got a minimal password file restored while reading the hashed values over (no way where we going to have root::0:0:... as the file even for a second) and then rcp'ed the proper /etc/passwd and /etc/group file over to the other machine.

https://www.gnu.org/fun/jokes/ed-msg.txt
Any experience or thoughts on Vietnam and Malaysia? Are they also moving ahead?
If you have strong evidence for your proposal, I haven't come across it in my literature reviews.

The only food I am aware of that has strong evidence that it contributes to poor health outcomes is sugary sodas. (The only other nutritional thing that consistently shows a negative impact on BMI is dieting: for everything else, populations are too heterogeneous for effects to be consistent. There are people whose combination of genetics + lifestyle make two or more triple cheese burgers a day a perfectly healthy diet.)

Outright bans and limitations on size of soda cups were both struck down by the courts, but soda taxes have been an effective public health intervention that reduce consumption and improve health outcomes: https://www.frontiersin.org/journals/public-health/articles/... And they do get widespread support among technocrats.
Do you really think that the US doesn't engage in industrial espionage too?
Delta Air Lines had been expecting a record year. Then a trade war broke out
Oops... thanks.
> Why bother if they are just offloading their thinking to AI

Because you get to make them cry when you show them the error of their AI ways.

Consider it a teaching moment if you can show them why the AI-generated code is insufficient for production.
China routinely inflates and lies about their GDP

https://bigdatachina.csis.org/measurement-muddle-chinas-gdp-...
How to Be a Legendary SaaS Product Manager
Border patrol agents have the authority to compell you to give them your password or passcode. If you refuse, they can detain you and seize your device (same for FaceID/TouchID).

That's assuming border patrol operates within the law and constitution.

https://informationsecurity.princeton.edu/sites/g/files/toru...
What programming languages are you using? Compilers and interpreters are pretty darn complicated, not to mention operating systems and computer hardware.
Still, the value chain is what drives innovation. We should cheer efforts to clothe and feed ourselves that don’t rely on near slave labour sweatshops.
> what about leaving your phone at home and then buying a new one after you've crossed the border?

> I'd be curious to hear what people think about something like this.

Because you asked. It's extremely wasteful and therefore a bad idea.
Yes. For a concrete example, see marijuana.
> is still same

No it’s not the same. But at this point I’m pretty sure you don’t understand the concept of nuance.

Sure, 10 vs 0 years is obvious. Why even bring up such an example?

What about 7 vs 10 or 3 vs 5? Maybe it’s technically lying but who cares if it works out at the end? What do these numbers even mean? A person who has 3 years of experience in Java can be better than someone who technically has 5..

Especially when those N years requirements are not necessarily put in there by the people who you’re actually going to work in.
We've always had a flat tax in the form of printing new money -> inflation.
I presume while this is causing a rally in the stock market, it's going to hurt our small businesses and second-stage manufacturers we have here even more.
Statsaccounts
Why do other people's criticism ("talking shit") destroy your fun? They make you unsure of your opinion?
If you believe this emotional investment in AI tools gives you a competitive edge in the long run, then so much the better for you. AI tools should work the same way with or without your love.
The only difference is that if you have fun using these tools, you'll be better motivated to use these tools better then the others. (Regardless, existing knowledge probably helps more in using these tools effectively in the longer run than pure fun.)
Actually, if you format your numbers properly, you get "285 368 737 954–285 368 783 645". Or "285.368.737.954–285.368.783.645".

Or, sure, sometimes you get "285,368,737,954–285,368,783,645". But it's not like that's some kind of default. Except if you suffer from defaultism --- typically prefixed by "American".
It's a hard question to answer and one I've been mindful of in using LLMs as tutoring aids for my own learning purposes. Like everything else around LLM usage, it probably comes down to careful prompting... I really don't want the answer right away. I want to propose my own thoughts and carefully break them down with the LLM. Claude is pretty good at this.

"productive struggle" is essential, I think, and it's hard to tease that out of models that are designed to be as immediately helpful as possible.
> The UK stepped on its own rake because it was obsessed with tiny, already vanished industries like fishing

This isn't just a UK issue:

"Fishing is a relatively minor economic activity within the EU. It contributes generally less than 1 per cent to gross national product."[0]

and if you look beyond fishing, agricultural policy as a whole is - not sure how to put this politely - not easy to understand:

"The CAP is often explained as the result of a political compromise between France and Germany: German industry would have access to the French market; in exchange, Germany would help pay for France's farmers [..] The CAP has always been a difficult area of EU policy to reform [..]"[1]

[0] https://en.wikipedia.org/wiki/Common_Fisheries_Policy
[1] https://en.wikipedia.org/wiki/Common_Agricultural_Policy
GT and AI are direct competitors because both want to be the primary interface people use to develop through / with

AI is also moldable development

If you had to ask what AI tool usage is, then you have missed significant aspects of the shift
Dump and pump... Trump friends must be making a fortune
I find amusing that people still want to rationally discuss this thing.

What the U.S. is doing is just Brexit 2.0. If reason didn't work with Brexit, why would it work with this?

The best each one of us can do is to isolate ourselves from the disaster.
The US has no real seperation of powers.
You are also likely to be more vulnerable to financial mishaps and scams.
Geopolitical reality TV at its finest.
I expect the first denaturalization case over political speech to be only a matter of time--perhaps weeks at this rate?
> What will be America’s competitive edge in that scenario?

Comparative advantage means countries benefit from specializing in producing goods or services where they have the lowest relative opportunity cost - not necessarily where they're the best overall. Even if China focuses on technology (and this is far from decided), America can still thrive by specializing in other areas where its relative efficiency or unique capabilities are better.

Examples: Germany specializes in high-precision manufacturing, India does well with software development, IT services, and medicines, Australia exports minerals, natural resources, and agricultural products, etc. Everybody brings something to the table. The world economy cannot possibly get worse by adding 1B people doing top-level work.

> Ricardo's theory implies that comparative advantage rather than absolute advantage is responsible for much of international trade.

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

BTW these would have been great ECON 101 discussions to have before the election.
Thanks for the context! I give Haskell a one-word shoutout in the article as a hint but I really wanted to take the reader on the journey of inventing some of these things themselves.
Not to get too off topic, but ORMs are bags of design flaws. They are definitional technical debt, the kind that gets you from proof of concept but needs to be reworked once you get to your target scale.

There are a large number of fundamental impedance mismatches between relational data and object based data. Any ORM can fix some of them at the cost of ignoring others, but the fundamental character of ORMs is such that taking an opinionated line on tough tradeoffs is as good as you can hope for.

This is why ORM guy is wasting everyone's time - his problem is almost definitely not going to have a unique or even valuable perspective on all of those tradeoffs.
If anyone starts, it's pretty easy to trot out some story about how CBP caught a drug smuggler or human trafficker or terrorist because of the searches and then the matter is quickly silenced.
As you say, f32 requires post-processing. What is the most minimal post-processing needed?
The JAX docs have a good explanation for how a TPU works

https://docs.jax.dev/en/latest/pallas/tpu/details.html#what-...

Its not really useful for other workloads (unless your workload looks like a bunch of matrix multiplications).
The partners didn’t want to establish strong trade ties because of national animus between their peoples stemming from WW2 and regional security concerns, not because China is an unreliable trading partner. From what I’ve read, China is actually a very reliable trading partner and generally asks a lot less of countries than the US does. Obviously that’s how they attempt to gain influence and leverage in US spheres of influence longer term to make larger asks, but most politicians only think of short term consequences.
Color models always involve engineering tradeoffs because human color perception can involve:

1. The human perception of particular colors involves negative response in the cones. You can simulate this mathematically, but you can't reproduce it in a gamut.

2. Some humans have tetra-chromatic visual experience to the point of awareness. A larger group have tetra-chromatic visual experience that is measurable based on their response to testing.

3. Scientifically there is nothing different about the "visible spectrum" beyond anthropocentric interests and our experience of it is based on adaptation to particular survival events, not on theory or mathematics.
Functional connectomics spanning multiple areas of mouse visual cortex
The oldest are the easiest to swindle. This isn’t new.

Also, current media has the veneer and polish of old media which makes it difficult for the unsavvy.
They don't even have to move to another country. They can move to parts of the United States that don't fluorinate or that don't have municipal water at all, or just get a gravity filter.
> Their population is declining, ...

This can not be overstated. China is on the verge of the largest population collapse in human history.

By 2080 China's population will drop by 600 million. If that trend continues, by 2150 China's population will drop to 280 million.

Other asian countries such as South Korea and Japan are on a similar trajectory.
Universities still teach you calculus and real analysis even though Wolfram Alpha exists. It boils down to your willing to learn something. An LLM can't understand things for you.
I'm "early genz" and I write code without llm because I find data structure and algorithm very interesting and I want to learn the concepts not because I'm in love with the syntax of C or Rust (I love the syntax of C btw).
> The peer commenter shared the Heinlein quote, but there's really something to be said for /society/ of being peopled by well-rounded individuals that are able to competently turn themselves to many types of tasks

Being a well-rounded individualist is a great, but that's an orthogonal issue to the question of outsourcing our skills to machinery. When you were growing crops, did you till the land by hand or did you use a tractor? When you were making clothes did you sew by hand or use a sewing machine? Who made your sewing needles?

The (dubious) argument for AI is that using LLMs to write code is the same as using modern construction equipment to build a house: you get the same result for less effort.
https://gitdiagram.com/ does something similar.
Not Tetris 2 – A physical Tetris game