skysight-inc/HackerNews huggingface dataset:
I’m processing 100’s of GB of information (the whole historical bitcoin blockchain). Enough to not fit in RAM, but the computation I’m running is fast enough to not be CPU bound.

At home I have a desktop rig with multiple TB RAM and a fast server CPU. I would normally ssh into that to run tests with the chain mounted on a /dev/shm partition, which was a pain and only was accessible when I was at home. With my new MacBook Air, the upgraded internal drive is large enough to hold the full historical chain, and streams from disk fast enough to finish a run in comparable time. So now I’m mobile and can work from anywhere, with an entry point laptop replacing a dedicated server! That’s a big change for me.

I recognize not everyone’s tasks are bottlenecks the same way though.
The EU Wants Apple to Open AirDrop and AirPlay to Android
Pretty much. The issue with zippers is that the fabric moves about in unpredictable ways. Piano playing was just movement programs. Zipping required (surprisingly) fast feedback. Also, gripping is somewhat tough compared to pressing.
Substance abuse is pretty much universally understood to be wrong (including by the addicts themselves, but they lack the help to get out of it).

Social media usage on the other hand has been normalized and now humanity's social fabric is in the control of a few companies who are happy to rent it out to the highest bidder. This has obvious implications regarding democracy, surveillance, misinformation, etc.

From a society perspective, I'll take substance/alcohol abuse any day because it appears to be self-regulating at a level that while is higher than we'd like, is much lower than what it takes to destabilize society and democracy.
awesome! do you think AI is gonna change the web as we know it?
> but then what do you tell them/their manager

If asked for feedback, you tell their manager that the employee's performance is subpar and you provide very specific examples of that. Leave it up to that person to manage their performance -- that's what they are paid to do.

In terms of you working with this "not so smart" person, suck it up and remember that it's just a job.
I think another part is that there is a failure mechanism on their boards that was recently identified: https://community.openconversational.ai/t/sj-201-sj201-failu...

The short version, from the post, is that there are 4 capacitors that are only rated for 6.3v, but the power supply is 12v. Eventually one of these capacitors will fail, causing the board to stop working entirely.

It would be hard for a company to stay in business when they are fighting a patent troll lawsuit and having to handle returns on every device they sold through kickstarter.
Many are incorrectly citing 85% as human-level performance.

85% is just the (semi-arbitrary) threshold for the winning the prize.

o3 actually beats the human average by a wide margin: 64.2% for humans vs. 82.8%+ for o3.

...

Here's the full breakdown by dataset, since none of the articles make it clear --

Private Eval:

- 85%: threshold for winning the prize [1]

Semi-Private Eval:

- 87.5%: o3 (unlimited compute) [2]

- 75.7%: o3 (limited compute) [2]

Public Eval:

- 91.5%: o3 (unlimited compute) [2]

- 82.8%: o3 (limited compute) [2]

- 64.2%: human average (Mechanical Turk) [1] [3]

Public Training:

- 76.2%: human average (Mechanical Turk) [1] [3]

...

References:

[1] https://arcprize.org/guide

[2] https://arcprize.org/blog/oai-o3-pub-breakthrough

[3] https://arxiv.org/abs/2409.01374
Very cool. I recommend scrolling down to look at the example problem that O3 still can’t solve. It’s clear what goes on in the human brain to solve this problem: we look at one example, hypothesize a simple rule that explains it, and then check that hypothesis against the other examples. It doesn’t quite work, so we zoom into an example that we got wrong and refine the hypothesis so that it solves that sample. We keep iterating in this fashion until we have the simplest hypothesis that satisfies all the examples. In other words, how humans do science - iteratively formulating, rejecting and refining hypotheses against collected data.

From this it makes sense why the original models did poorly and why iterative chain of thought is required - the challenge is designed to be inherently iterative such that a zero shot model, no matter how big, is extremely unlikely to get it right on the first try. Of course, it also requires a broad set of human-like priors about what hypotheses are “simple”, based on things like object permanence, directionality and cardinality. But as the author says, these basic world models were already encoded in the GPT 3/4 line by simply training a gigantic model on a gigantic dataset. What was missing was iterative hypothesis generation and testing against contradictory examples. My guess is that O3 does something like this:

1. Prompt the model to produce a simple rule to explain the nth example (randomly chosen)

2. Choose a different example, ask the model to check whether the hypothesis explains this case as well. If yes, keep going. If no, ask the model to revise the hypothesis in the simplest possible way that also explains this example.

3. Keep iterating over examples like this until the hypothesis explains all cases. Occasionally, new revisions will invalidate already solved examples. That’s fine, just keep iterating.

4. Induce randomness in the process (through next-word sampling noise, example ordering, etc) to run this process a large number of times, resulting in say 1,000 hypotheses which all explain all examples. Due to path dependency, anchoring and consistency effects, some of these paths will end in awful hypotheses - super convoluted and involving a large number of arbitrary rules. But some will be simple.

5. Ask the model to select among the valid hypotheses (meaning those that satisfy all examples) and choose the one that it views as the simplest for a human to discover.
I also noticed that Youtube prevents me from watching videos on their site starting today because I have an adblocker (uBlockOrigin) installed.
Heat pumps are so affordable now, that just feels like a poor decision-making rather than an economic hardship. You could finance a heat pump and the savings would pay itself off in a year.
Ask HN: What are your favorite news sites outside of HN?
I love the format of HN. It's minimal and has user interaction.

Any other sites you use for news daily and would like to share?
you're probably getting downvoted because there isn't really a temperature 4 million miles away from the Sun (it's mostly just empty space being bombarded by radiation)

2,500º F is merely the temperature the probe is expected to reach at that distance. if it were to stay at that distance indefinitely, it would grow much, much hotter as it absorbed more energy from the sun.
I maintain that whoever invents a robust laundry folding robot will be a trillionaire. In that, I dump jumbled clean clothes straight from a dryer at it and out comes folded and sorted clothes (and those loner socks). I know we're getting close, but I also know we're not there yet.
Do we know that for sure? There are I/O lanes being allocated whatever the exact technology being used is. I just don’t see why they’d reinvent the wheel here.
You have to keep in mind what PEGI is, who it works for, and who they in turn represent. Of course they're unconcerned about hassling a lone dev, but walk on tiptoes around the work produced by their backers. They're less of a regulatory agency, and more of a fig leaf covering the genitals of the "interacting software" industry in Europe.
No if they go during the night
Can you elaborate? I'm honestly at a loss as to what you're suggesting? Is it just that we should have extremely long jail sentences and/or executions for petty crimes, or is there some other option I'm missing?
I'm far from a piano player, but I can definitely push piano buttons quite quickly while zipping up my jacket when it's cold and/or wet outside is really difficult.

Even more so for picking up coins from a flat surface.

For robotics, it's kind of obvious, speed is rarely an issue, so the "5x" part is almost trivial. And you can program the sequence quite easily, so that's also doable. Piano keys are big and obvious and an ergonomically designed interface meant to be relatively easy to press, ergo easy even for a prosthetic. A small coin on a flat surface is far from ergonomic.
Laundry folding and laundry ironing, I would say.
Neither option I mentioned would require PGE or a centralized entity. Both options would be off-grid.
We should NOT give up on scaling pretraining just yet!

I believe that we should explore pretraining video completion models that explicitly have no text pairings. Why? We can train unsupervised like they did for GPT series on the text-internet but instead on YouTube lol. Labeling or augmenting the frames limits scaling the training data.

Imagine using the initial frames or audio to prompt the video completion model. For example, use the initial frames to write out a problem on a white board then watch in output generate the next frames the solution being worked out.

I fear text pairings with CLIP or OCR constrain a model too much and confuse
Love this! Excited to give it a try.
There are certainly valid, conflicting opinions around signing/notarization requirements for software. But notarization does provide end users with some safety guarantees that legitimately make running the software less risky. The scariness of "are you sure you want to run this" prompts is fairly grounded in real risk assumed by the end user.
> And how exactly would adding more of the most expensive way to generate power help reduce costs?

Yes, the Australian GenCost report is about generation costs (no mention of transmission or storage in that graphic, for instance).

The https://www.electricitybills.uk breakdown shows that the cost to the consumer consists of far more than just the cost of generating electricity.
Intermittents generally connect to the distribution network (given their smaller output).
Intermittents necessitate transmission upgrades because wind farms are in a different location to people and require overbuilding of capacity.
Intermittents require more balancing because a passing cloud or lull in the wind affects their output.
Intermittents require capacity payments for the backup (methane) generators that have to keep on standby.

Plus let us not forget that the intermittent generators get revenue from RO, CfD, and FIT.
Tek comes to mind

https://en.wikipedia.org/wiki/TekWar
What the inc-hell?
The first thing is to be kind, empathetic, and understanding when someone isn't as good at you as something. This happens to everyone, and no matter how smart someone is, there are things they are particularly bad at as well. Keeping in mind the things you struggle with, can help with empathy and humility, and help you figure out what tasks to try to delegate to others.

The smarter someone is, the more they will be used to working alongside people less intelligent, and still work together effectively, and not make others feel bad about it. Particularly smart people can find it shocking when someone else belittles or ridicules another for not understanding something, because they are used to always understanding more than everyone around them their whole lives, but usually keeping it to themselves to not make others angry or feel bad about it. They're not going to be angry or upset when other people struggle or don't understand as well as them, as it is the norm, and something they've almost never not experienced.

Lastly, in a leadership position, look to figure out where peoples strengths do lie, and give them that part of the project. If they have no strengths or abilities consistent with the job at hand, that might not be possible, but seems like a major failure of the hiring process in the first place, and shouldn't be possible- it isn't the fault of the person that was hired inappropriately.
* acording to CCP's reported numbers
I think this is backwards? NVMe should be faster than SATA. I don’t think Apple uses either though. They directly connect the CPU to storage on the SoC. Another commenter above is saying they don’t even use PCIe.
I was thinking about Adagio in D Minor, because of Sunshine (2007).
From my life experiences, I’ve come to believe that most people around the world possess a similar level of intelligence. The real difference isn’t in innate ability but in effort—those often labeled as “not so smart” are usually just unwilling to think critically or engage deeply (basically lazy). It’s less about capability and more about a lack of willingness to put in the mental effort.

There is one Balkan joke which illustrate this:

Two Bosnian workers in Germany were taking a break when their boss approached them.

“Why isn’t the work done yet? Are you being lazy?” the boss asked.

One of the Bosnians replied, “Oh no, boss! The Montenegrins are the lazy ones; we’re the stupid ones! We need more instructions

——

In your case, it’s crucial to explain management with specifics rather than generalizations: detail exactly what you communicated—“I told this person X, Y, and Z”—and then describe the specific actions they took in response.
One of the biggest factors in risk of death right now is poverty. Also what is being chased right now is "human level on most economically viable tasks" because the automated research for solving physics etc. even now seems far-fetched.
New Age rhymes with Sewage
Soundtrack to "Sunshine" also seems very appropriate.

https://www.youtube.com/watch?v=AXzqJucLae8
I was thinking about Red Dwarf theme: https://youtu.be/zV0hwZwNQZc?si=NcQULlVtqBX_V7wm

”It's cold outside

There's no kind of atmosphere

I'm all alone

More or less

Let me fly

Far away from here

Fun, fun, fun

In the sun, sun, sun”
This comment is unnecessary and reflects poorly on the community.
They only legalized it recently though.

https://www.vice.com/en/article/legal-weed-netherlands/
"Modern" means "we fixed the deficiencies of the old project and introduced our own". When I read "modern" I understand it's likely to be a variation of the second system effect [1]. When it's not just advertisement/PR BS.

When it's part of a request, it generally means "I don't know tech XYZ but I'm pretty sure I could enjoy it and contribute if it was using a tech I know". Which is generally a form of procrastination.

I dislike Javascript and I don't know Objective-C, and it didn't prevent me to tinker with Oolite, which uses both, because I like the game (now, tbh assembly is "hardcore" so OP's request is legitimate).

[1] https://www.joelonsoftware.com/2000/04/06/things-you-should-...
Apparently o3 scored about 25%

https://youtu.be/SKBG1sqdyIU?t=4m40s
Marketing? I don't see anything for sale or even any ads on the blog page.
Gen Z was conditioned with algorithmic timelines and loot boxes (gambling).
I can speak from the perspective of someone who happens to belong to the "not so good" group, with 20 years in IT. I have a rather specific specialization, and I consciously avoid taking on programming because I know that the quality of my code would be, at best, average. If I do program, it's purely as a hobby, while professionally, I only work on scripts and automation, which I really enjoy.

If you feel like you're the smartest person in the room, it's time to change the room. There is absolutely no way for someone average in grasping complex concepts to suddenly become smarter. The problem seems to be that someone at your company hired these people and assigned them to roles they don't fit. You should consider moving to a better company — one that has higher standards and employs better specialists. There's no other solution to this.
> Your feed will quickly adjust.

It does adjust in some way, but somehow it never picks up on the signal that actually made me like or dislike a video. It's very clear that some video-makers have figured out how to exploit this poor signal reception to shove really crappy content at people. Other video-makers, who aren't trying to dominate youtube revenue, are buried and difficult to find.

TikTok, meanwhile, takes about an hour of scrolling and reacting to cultivate a feed that is very tailored to my taste. It's truly remarkable. If the app gets banned it'll be a huge loss for finding people and content with similar interests.

(I also just don't have the desire to watch an entire 10-minute video packed with filler when I'm trying to relax unless it's very dense, and that's the entire revenue model of youtube. edit: I forgot youtube has shorts now)
I'd love to know how Claude 3.5 Sonnet does so well despite (presumably) not having the same tricks as the o-series models.
> but you are in fact allowing a corporate entity to dictate your music taste on some level.

I think that's a very weird way of characterizing it.

That's like saying, when I choose to watch a movie at the theaters, I am in fact allowing a corporate entity to dictate what I watch for the next two hours.

True in some sort of technical sense I suppose. But I still chose to watch the film in the first place. So I don't really know what there is to complain about.

(And I haven't noticed any kind of payola in Spotify radio recs or related artists -- but that would definitely be a decrease in quality that could send me to another service. In their editorial playlists, I don't mind though -- I assume it's editorial rather than algorithmic from the start.)
But how do you deliberately control those fingers to actually play yourself what you have in mind rather than something preprogrammed? Surely the idea of a prosthetic does not just mean "a robot that is connected to your body", but something that the owner control with your mind.
May be referring not to LQCD relying on approximate analytical methods but some of the other non-perturbative methods? Example would be trying to apply homotopy analysis method (HAM) or a related transform to whatever field equations to make some semi-analytical predictions.
conda was for scientific python, but had to solve for everything below python to make that work. There was no generic binary solution before python for multiple architectures and operating systems.
> I maintain that whoever invents a robust laundry folding robot will be a trillionaire

… so Elon Musk? :D
I want it to lay out an outfit every day too. Hopefully without hallucination.
Looking Back on the 2024 Blog-Building Intensive Fellowship
An important distinction here is you’re comparing skill across very different tasks.

I’m not even going that far, I’m talking about performance on similar tasks. Something many people have noticed about modern AI is it can go from genius to baby-level performance seemingly at random.

Take self driving cars for example, a reasonably intelligent human of sound mind and body would never accidentally mistake a concrete pillar for a road. Yet that happens with self-driving cars, and seemingly here with ARC-AGI problems which all have a similar flavor.
"it can't be hysteria, look at these extreme ways people are reacting!"

Physical evidence or GTFO (the video with the NJ police is physical evidence that they have a drone with thermal imagery and of nothing else).

Here's a gift link to yesterday's New York Times story: https://www.nytimes.com/2024/12/19/video/new-jersey-drones-p...

The vast majority of the videos appeared to show planes or helicopters,
moving across a part of the state that brims with airports. None of the
videos analyzed by The Times conclusively showed drones, though in some
cases that remains a plausible explanation.

None.
You could say the same thing about the ESRB in North America, but they at least sensible enough to separate "Gambling themes" from "Simulated gambling".

https://www.esrb.org/ratings/39921/balatro/
I don't follow how 10 random humans can beat the average STEM college grad and average humans in that tweet. I suspect it's really "a panel of 10 randomly chosen experts in the space" or something?

I agree the most interesting thing to watch will be cost for a given score more than maximum possible score achieved (not that the latter won't be interesting by any means).
No industry standard format that I know of. I presume I'll have to come up with my own (some kind of typed JSON, probably).

At the end of the line these are just function definitions -- a black box that takes well defined inputs and produces well defined outputs, as well as calling out side-effects (I suppose these could just be more outputs).
You need to solve diseases and make the cure available. Millions die of curable diseases every year, simply because they are not deemed useful enough. What happens when your labor becomes worthless?
> My general perception is most of these people it's not that they are "not smart" it's that they figured out other people will do the work for them.

"Weaponized incompetence" is the term, I think.

But I've worked with people who match the description OP is providing. I don't think they're Machiavellian geniuses. Some of them I felt bad for - maybe with more guidance than I could provide, they could shape up to become better engineers. Some, just felt like they were not mentally equipped to ever be able to write software.
To be honest, Bavaria isn't the ideal place for wind power imo, WHEN THERE ARE ALTERNATIVES.

Braindead Germany just woke up and decided that they want to do away with nuclear and suck the icy cold teats of Mother Russia.

Wind isn't suited for inland Germany, especially in a place like Bavaria, which has the frickking Black Forest ecosystem and a mountainous terrain. Not to mention the winds are much slower there than in North Germany. For the cost calculus that wind energy provides, it's best suited for underutilized offshore areas or desert climates.

Germany forcing wind power is basically a sorry excuse they have to compensate for their energy shortfall - wind and solar can be deployed relatively faster, but of course solar doesn't make sense in Germany, hence the government is trying to shove down wind.
Whenever I come across such news, it seems like we are still far from grasping the complete picture. It's akin to gazing at the sky without a telescope and assuming we have seen all the stars in the universe.

I speculate that in the coming decades or centuries, a new instrument may enable us to delve deeper into the atom and reveal that what we perceive now is merely a minuscule fraction of the whole picture.

Perhaps the notion that the subatomic world is as vast as the universe, as stated by Richard Feynman when he said "There’s plenty of room at the bottom.", holds more truth than we realize.
I can live without folding laundry (I can just shove my undershirts in the closet, who cares if it's not folded), but whoever manufactures a reliable auto-loading dishwasher will have my dollars. Like, just put all your dishes in the sink and let the machine handle them.
I've gotten real support calls where the audio was so bad it was hard to understand anything they said. And/Or the standby music fidelity was so awful it's like pounding a spike in my ears. (Or maybe that's intentional so I hang up and don't bother with them.)

You'd think they'd have equipment newer than the 1960's.
This here folks is a market euphoric near top signal.

No news about quantum computing other than Google's Willow chip. Anything with the name 'Quantum' is flying.

For example a "data storage and management" company called "Quantum Corp" listed as $QMCO has its stock flying because of the name and has nothing to do with quantum computers!

If I was sitting at the trade desk right now, I would short that stock right now.
My apologies, but would it be possible to list the catastrophic consequences of these?
I think they will have to figure out how to get around context limits before that happens. I also wouldn't be surprised if the future models that can actually replace workers are sold at such an exorbitant price that only larger companies will be able to afford it. Everyone else gets access to less capable models that still require someone with knowledge to get to an end result.
id consider that it doing the test at all, without proper compensation is a sign that it isnt intelligent