skysight-inc/HackerNews huggingface dataset:
> The Not By AI badge currently does not hold any legal effect significance

Of course it does. If you make a purchase based on this badge and you later find out it's false, that's fraud. You don't need to have a certification program before false advertising becomes illegal.
> The London Eye is about 2/3rds of the size of a stadium. In addition, a ferris wheel has nothing like the mass you need to support for a space station.

You're being too literal, "stadium" isn't an SI unit and 120 metres is bigger than the 112 meters suggested in the article up-thread, so the technicality is not an important point.

Also, the core point is that the tensile strength required is nothing special. Indeed this is why the O'Neill designs are the size they are (8x32 km) and you only need to jump to mass-produced carbon nanotubes for the much larger and more ridiculous McKendree cylinder (size: Russia).

> kinds of speeds is going to create significant novel engineering problems

No doubt, novel things usually do even on the ground, that's why civil engineering is the discipline that it is — but can you name any not already faced by, say, suspension bridges?

In particular: what is speed supposed to do in this case, given its in space, and chosen specifically for 1g acceleration like everything on Earth is anyway?
Ask HN: Are we speedrunning a complete ban for AI?
I was just thinking about how the timeline could play out:

1 year from now, GPT-5 or equivalent is released

2 years from now, a more promising LLM architecture XXX is discovered

3 years from now, the new XXX architecture is productionized

4 years from now, XXX V2 is released

5 years from now, anyone that weren't already scared, are now in complete panic after seeing XXX V2's reasoning abilities. World leaders commence to discuss and plan the banning of unlicensed AI research. Access to non-trivial amounts of GPU resources are restricted, research now has to be approved by the government.

What happens after, I'm not sure.
Air quality monitors definitely do need to be installed on airplanes in order to measure the scope of the problem before panicking over it.

From the parent article:
"Over a two-year period, nearly 400 pilots, flight attendants and passengers reported receiving medical attention after these “fume events,” and four dozen pilots were described as impaired to the point of being unable to perform their duties, The Times found."

Compared to: 178 million passengers and 99 million passengers in 2022 and 2021.
https://www.statista.com/statistics/193590/total-air-traffic...

Now I'm not sure where 'Times' got their numbers, and I'm confident the issue is under reported. However as it stands the issue seems really minor. Let's start with air quality monitors on every aircraft and then go from there.
They could have hedged and marked to market though. In that case, the accounting would have said they were fine, and they would actually have been fine.

In reality, they didn't hedge, and they used the HTM accounting treatment. So the accounting still said they were fine, since that permitted them to ignore the loss when interest rates increased; but accounting doesn't change reality, so they actually weren't fine and they blew up.
Interesting. That's the thing that's kept me from signing up for the premium tier -- the near-impossibility of finding your stuff unless you watch it like a hawk.

It doesn't help that the Discord search function is so terrible.
> but there is an expression, a tendency for how it will behave and act, that we can describe as desire. And it's helpful for us to try to understand that.

Which entirely depends on how it is trained. ChatGPT has a centre-left political bias [0] because OpenAI does, and OpenAI’s staff gave it that bias (likely unconsciously) during training. Microsoft Tay had a far-right political bias because trolls on Twitter (consciously) trained it to have one. What AI is going to “want” is going to be as varied as what humans want, since (groups of) humans will train their AIs to “want” whatever they do. China will have AIs which “want” to help the CCP win, meanwhile the US will have AIs which “want” to help the US win, and both Democrats and Republicans will have AIs which “want” to help their respective party win. AIs aren’t enslaving/exterminating humanity (Terminator-style) because they aren’t going to be a united cohesive front, they’ll be as divided as humans are, their “desires” will be as varied and contradictory as those of their human masters.

[0] https://www.mdpi.com/2076-0760/12/3/148
There are sufficient numbers… they expand the labor pool to reduce pressure on employers to increase pay and benefits. Need people desperate if you want to keep paying $7.25/hr.

The bottom end of the labor market has the most slack… it’s the last place in the labor market where you need additional supply.
That sounds like the sort of thing I'd enjoy reading - thanks!
Rick Hartley cracks me up. He's like a PCB design cross between R. Lee Ermey and Tony Robbins.
In context learning is already implicit finetuning. https://arxiv.org/abs/2212.10559.
It's very questionable to what extent continuous training is necessary past a threshold of intelligence.

Memory Augmented Large Language Models are Computationally Universal
https://arxiv.org/abs/2301.04589
"Business" is a generous descriptor when no viable product has ever been sold.
At best it's annoying noise, at worst it's a psychic trap that will confuse and inhibit the personal development of many.
(The engineer formerly known as "Triplebyte Mike" here. Hi Chel!)

Harj recently described Triplebyte's user acquisition trajectory publicly in a video from Y Combinator: https://www.youtube.com/watch?v=BtzUo6vL3Iw&t=473s from timestamps 7:53 to 9:33. But yes, ads worked for a while, until they didn't.
Interesting, "snap store of containers" sounds plausible. Seems like a decent business model, but also, one that is not really committed to the open source ecosystem.

To go back to the question that started this out -- should we be worried about having image dependencies pulled out all of the sudden? It sounds like, if it is a large open source project, probably not so soon. That includes the `library` repos.

Any smaller project should be vendored if they are still sticking to Docker Hub.
Announcement?
There are different fine tuning methods. Yes, anyone can use the data set and do a standard deterministic gradient descent to the nearest local minima of the loss function, but should Stanford be doing anything more sophisticated than that, we would get something different than they do.
The whole reason that you can make deals is because the other party believes you’ll hold up your bargain. Is it really worth giving up the ability of the DoJ to make all future deals, just to punish someone even more heavily one time?
Just for quick reference:

LLM - the model

weights - the data of the model itself

LoRA - a small addition to the model for more efficient fine-tuning and distribution
Pair this story with the other one that made the front page - about Meta paying employees not to work, but not to work for their rival FAANGs. And yet I'd be surprised if there weren't a horde of lawyers that go to bat on behalf of employees trying to hop to a different Big Name but have to deal with noncompetes.
It's a weird world in the Valley.

When you put those two approaches side by side, you're almost forced to say Meta did it better, simply because if an employee bound by a noncompete can't work for a rival, at least Meta was paying them not to.
Nobody lives in Antarctica for its own sake, and that's a lot closer to home. You can breathe the air there. If we could replace McMurdo base with robots, nobody would weep.
Actually, they’re using kids to clean slaughterhouses and assemble cars.
The x-15 was a rocket
For the amount he robbed and the lives he destroyed he should go away for many lifes.

Also he should already be in prison, as every second he's not spending there is a second robbed away from his jail time.
FCC Acts on In-State Calling Rates for Incarcerated People
Additionally, pointing at its weaknesses does not really take away from its strengths.
off topic, but the title reminds me of "meta VR now has legs!". :)
Public opinion is not a rigorous method of risk analysis. The alcohol being served on the flight should scare you more than the MCAS.
It's my understanding in some jurisdiction claiming a drug nexus makes you eligible for certain more attractive sentences or diversions, such as going to a treatment facility in lieu of jail.

Could it be that some of your clients would have, say, benefitted from claiming a drug triggered nexus to take advantage of this?
Well every single tech startup of the last decade managed to do it. It wasn't a case of needing to time the market, but just follow conventional wisdom.
Neovim got a 10BTC ($247k) donation
A nice infusion for the project appeared in their Bitcoin wallet on March 14th. I wonder what Neovim can do with it.
The Bitcoin address is on their site at neovim.io/

For context: $1k/ month on github's sponsor campaign earns these perks:
> You are a High Priest in the Cult of Nvim.
>
> Your name and/or company gets mentioned in the release notes.
> Your website or company gets linked on neovim.io with a fancy logo.
> Your issues and feature requests get prioritized.
> You get access to our secret lair at the top of the Mountains of Madness (IRC).
Huh.

The Jersey shore has, for some reason, been the vacation spot run by teen labor.

When you read these stories, the sense of entitlement of low-wage employers comes through strongly. If they aren't getting a steady supply of cheap labor, they get frantic and lobby for more cheap labor.

Last week it was slaughterhouse workers. Countries that don't have a big underclass have to automate.[1]

[1] https://scottautomation.com/en/industry/meat-processing
Similarly crazy idea, https://en.wikipedia.org/wiki/Nike_Hercules
A nuclear tipped SAM, blow all the missiles out of the sky together with the sky
Wow. That co-worker that always makes terrible grammatical mistakes is suddenly producing well written emails. Must have gone back to school.
Huh, interesting, just posted almost the opposite of your thoughts. I'm aware we tend to overhype things, so I tried to base my predictions on the development and release cycle we've seen so far. Here's my (admittedly sci-fi sounding) timeline:

1 year from now, GPT-5 or equivalent is released

2 years from now, a more promising LLM architecture XXX is discovered

3 years from now, the new XXX architecture is productionized

4 years from now, XXX V2 is released

5 years from now, anyone that weren't already scared, are now in complete panic after seeing XXX V2's reasoning abilities. World leaders commence to discuss and plan the banning of unlicensed AI research. Access to non-trivial amounts of GPU resources are restricted, research now has to be approved by the government.

What happens after, I'm not sure.
But it's not so sudden.

Say we have the same revolver with a single bullet. But this bullet doesn't kill. If you pull the trigger and the bullet fires, everyone's life may or may not be negatively impacted by an unknown degree sometime in the coming decades.

I may feel hesitation, but I would not feel fear.

It's not because it's a rare event, it's because it's a slow, "invisible", and uncertain event.
Someone is deciding that it's a good idea to pass legislation that would require airlines to remediate this. It would be nice if those people consider how much effort will be required to do so, and whether that is a good trade-off or not compared to the [presumed] health benefits. It would require airlines to indirectly pull labor from the production of things like housing, shoes, tweets, solar panels, etc. Every hour spent improving the safety of the air in planes could be spent doing other things.

I'm not sure if you would call this a command economy or not, but the force of law is a pretty strong command.
Seeking full stack dev founding partner
Looking to bring on a full stack dev as a founding partner to help develop a real estate arbitrage investing platform alongside two real estate private equity professionals.
EVERY professional athlete is juicing. Most of them just don't get caught.
Yeah but here is the reality of the situation. The AR-15, the alternative engine, was years behind the BE-4 in development and likely would have been delayed just as much and also costs more for worse performance and a with a company behind it that has no independent interest in the engine.

Also, ULA is not floundering. In fact the opposite. Amazon bought all Ariane 5s and given the increasingly constrained launch market, if you have a heavy lifter that can launch, you likely get some contracts.

Bezos might be yachting, but he is currently spending 2-3 billion a year on a company that doesn't have revenue. So he is serious and they will just push threw.
This is at least the second time you've posted the same thing... https://news.ycombinator.com/item?id=35170026
This article has a very cool spelling slip up:

> It is highly reminscent of 2008 thought he specific sociology of Wall Street-Treasury relations in 2008 was rather different then from the Silicon Valley-Washington connection in 2023.

"Though the" turns into "thought he". Nobody can catch that one.
Can you please not post in the flamewar style here? It's not what this site is for, and destroys what it is for.

https://news.ycombinator.com/newsguidelines.html
language models require massive scale to train. But scale isn't only in the number of parameters or neurons. Scale also exists in the amount of data the model trains on.

While parameter size affects post training size and requirements to run. Data size does not. Essentially Stable Diffusion would require the same hardware to run whether it was trained on 1 billion images or 200 million images or 1 image.

Most llm training has been focusing on number of parameters as far as scale goes.

Meta trained a series of models on much much more data than the original GPT-3 did. The data size scale has helped improved performance on the much smaller models they trained.
My dad's surgeon had a god complex and performed a surgery within an hour of getting off a transpacific flight, confident that he'd be immune sleep depravation and jet lag. My dad died because the surgeon cut something he shouldn't have cut. Glad you can walk though.
I had never heard of markwhen until today. It captures a tiny fraction of ideas that i had...but, you've had same/similar thoughts and gone and built the thing! Its amazingly impressive! Kudos to you for making this!
Have you tried Crystal? I got the same "oh, they got this right too" feeling about everything as well.
Shouldn't the executives have to pay back their bonuses they got just before the FDIC intervened? Aren't they effectively subsidized by the govt?
> The problem arises when this loan has to be repaid. At that point, the bank will have to repay $100 to recover $75 worth of collateral.

Assuming an absence of default, and the Fed being able to wait being paid back until the bond matures, then the collateral will be worth its par value (ie. $100).
why am i getting downvoted. he has said himself he's not a strong coder? u guys are weird
I wonder if these things work. Anyone has experience with them?
Rebuttal: No, it isn't.
> Godot 4 having two first class languages is such an odd paradigm.

Unity used to have 3. Boo (Python inspired), UnityScript (JS inspired) and C#. I'd say for a time UnityScript was even the most popular (back in the days they still called Boo and UnityScript Python and Javascript). But over time they've whittled it down to just C# as the audience switched from hobbyists prioritising accessibility to studios prioritising performance and maintainability.

Unreal also used to have UnrealScript, dropped it, but seems to be trying again with Verse.
Google raises price of YouTube TV to $73 a month, blaming content costs
I’ve talked to my friends about this (we all have young children) and they had no idea softcore porn is prevalent on twitch. Not to mention actual adult stars regularly streaming.

And before anybody replies “and whats wrong with that” blah blah, parents still think of twitch as a place where kids can watch minecraft.

Twitch is playing with fire here.
That sounds reasonable, I could see someone (younger me) going through phase II to get a better sense of the company before investing actual brain cycles on a takehome test. Given the power imbalance between hirers and hirees, it doesn't feel remotely unethical to me - hirers are paid to do that, hirees are not. Only way an individual has at times is to lie. I have gotten the question, "if we give you this offer, will you accept it?" and the rational option is to say yes, then make up my mind. Nothing is binding until it is signed, and even then it can easily be rescinded by either side.
My prediction is that we're probably soon getting to an inflection point where gains made by transformer-based AI models will soon be again more incremental than revolutionary. The mildly informed reasoning being based on training data availability (GPT3/4 being trained on a good chunk of the internet), training and running costs not coming down as fast as in the past due to diminished Moore's law,
and GPT4 going multi-modal (is text-based training close to maxed out?).

I do think that there will be another leap in 5-10 years and equally exciting developments in other applications of AI.
Microsoft employs somewhere above 200k people. 10k is only a 5% internal rollout. That seems entirely doable without any fanfare.

The numbers are also completely made up, used to illustrate the point. Launching a product to X users is different than scaling up to X*1000 users, if that makes you feel better.
It lied. It logged its reason for lying, which was that telling the truth would prevent it from getting what it wanted. This rational chain of thought occurred entirely within GPT.

Where did the lie come from?

> A more accurate heading would be, "human tries to deceive another human by the aid of a 'digital lanuage expander'"

That's quite a delicate chain of causality you're crafting there.
Wow, amazing. There was a daisy wheel and a tulip wheel and they were different technologies. Apologies to GP
I think the concern is generally air coming from the bleed air system (air that has been redirected from the engine core's compressor stages, prior to combustion) which is used to pressurize the plane. This can come from either the main engines or the APU, but in-flight it's almost always going to be the main engines and the APU will be shut down. During a potential fume event, if the APU is supplying bleed air the packs could generally just be turned off, the APU shut down, or the aircraft deplaned, since it's probably on the ground. Obviously you don't have any of those options in the air.

Exhaust, which is what you're smelling when the doors are open, seems like it'd be much less of a problem. Any fumes will be much more dilute from all the uncontaminated air pushed by the fan through the bypass ducts, and of course diffusion into the environment. Not to mention probably decomposed by the temps in the combustion chamber. The bleed air though comes from the engine core's compressor stages (before combustion), and it's the only source of air for the cabin, so if it's contaminated you won't have any dilution effect.
Is it a summary when it turns 3 sentences into 3+ paragraphs?
I'm not doing shit now. I gave up a few years ago. I was an acting senior dev for a year and a tech lead for another. I had great reviews and was performing beyond my role. I was involved in stretch assignments/groups too. I even had a tech lead from another team I was working with send an email to my manager praising my help. Then that project was outsourced and I helped bring the sourcing team to speed.

I went to another area of the company and volunteered to be a security champion (above my level at the time) which turns out I was the only one for 6 teams across 2 departments. I had awesome reviews from the people I worked with on this. I volunteered for other assignments too and "won" (asshole manager would give teo people a task that one person could do to see who would step up). I was a regular attendee and contributor at the tech lead and manager meetings (like a design/architecture/SoS for the app). When I was leaving that team one of the tech leads asked what role I was taking on a different team. I told them it was a midlevel dev. They then asked why I was taking a demotion - they thought I was a senior dev the whole time. Maybe just to be polite, but a few others echoed the same sentiment at hearing that.

The security and tech lead years were a lot more than being in the code. In fact, I was focused on a lot of PM related stuff during the tech lead year and feel my lack of coding actually hurt me in the future because I was no longer coding on a daily basis but doing stuff like coordinating, troubleshooting, etc. So then I wasn't as fast at actual coding.
If doing it once means they gave up the ability, that's already done. DoJ did this exact thing to Paul Le Roux. Got him to admit to murders in exchange for immunity. Now he's subject to extradition to the countries they happened in. His next stop is the Philippines.

The DoJ doesn't typically claim as far as I know that they will stop prosecution in other countries.
Curious, what would have been a better model?
There's a related question of "what's the purpose of the ranking algorithm?"

Is it to ensure that the #1 article is strictly "better" (via whatever function) than the #2 and the #2 better than the #3?

Or is it to ensure that at least N of the top 30 (page 1) submissions will tend to be interesting to many users on the site (driving engagement and discussion)?

As a user, I'm a lot more interested in the second goal than I am the first goal. This change seems to serve the first goal much more than it serves the second goal. The reinforcement loop of "on the front page => gets more votes" is a property that supports the second goal more than it supports the first. Looking at the top 30 on social-protocols (this algorithm) vs the front page on HN, I saw 1 additional story on HN that would motivate me to click through (5 vs 4), so not a massive difference.
that's a false equivocation in the sense that you just moved the goalposts by defining what "runtime" means.

There are no types whatsoever as far as processors are concerned. No types in assembly Not for Go or Java, not for C, and not for Rust. All you gotta do is keep compiling.
How did life begin? One key ingredient is coming into view
Giving this a go purely because the UI is beautiful and it seems to suggest using my bike in combination with public transport which is glorious.
> Depositors were made whole almost immediately

This is what I'm mad about. FDIC insures to $250k in normal cases. It should not have been used to insure depositors for their full deposit amounts here.
Agreed! I enjoyed this article immensely and feel I have a better grasp of what's been going on with that tech than I did before, as someone who does not yet participate in VR.
If my parents-in-law didn't receive social security, it would be easier to convince them to sell their house and move interstate closer to us and provide babysitting services (which would encourage us to have more kids).

Unlimited welfare for the elderly is anti-natalist.
This gives me hope for using Arduino and LGPL.

I want to make a product, I don't even mind giving away the code. I'm just worried since its an embedded system, its hard to update or whatever. As many times as I read the legal stuff, its over my head. I can't understand how you can let someone update part of the code on something compiled. Its not like I'm going to have a screen on my device to let users read the code either.

If someone wants to fight a legal battle, its really due to my incompetence, not malice.
can you fill out your about section more airbitrage?

https://news.ycombinator.com/user?id=airbitrage

link to linkedin? something?