skysight-inc/HackerNews huggingface dataset:
I've just returned from a 10 day trip across Europe. 5 days to destination. 5 days there. 5 days back. I've been back for 2 weeks now and I think I've only just "recovered" from the drive. The cognitive load of the German autobahn. Trying to understand the road markings in different countries. Rain one day. Snow the next. Glaring sunshine the next.

Now, sitting in my home office in a comfy chair with no vibrations, no continuous noise and no apparent imminent potential for death is most definitely my preferred way to spend 8 hours a day.

Next year is going to be a stay-cation!
It's above Opus in second position in the "English" only category. It probably suffers in the overall score due to poor multilingual ability (afaik 95% of its training data was English only).

Though usual caveat about small sample size applies, as of now the CI is fairly big. It's also not at the level of those two in "Code" category, I hope Meta will give the CodeLlama variant an update again.
> So - not just for biology - what are some good books or other learning resources that encourage questing, curiosity and wonder?

> The first one that comes to mind is Feynman’s Lectures.

The early books by Richard Dawkins. Also later books when he writes about biology and not about religion.
So… the goal is for you to do nothing? Except not impede people making decisions and hiring consultants when you, not the person closer to the issue, thinks it’s not working?
They're clearly doing something concrete and good and less ephemeral than most charities, so I say go for it. I did for ages and they never spammed me. Only stopped because my payment details changed and I never quite got around to updating them.

My only complaint is their use of kg instead of tonnes to let them use big sounding numbers. You don't need to do that guys. It's lame. We can see the photos. It's clearly worthwhile even if it is only a small part of global waste.
Someone suggested that[1], the commenter replied this wasn’t the case:

> I know the effect of shutter speed, and it wasn't present at that moment, you can clearly see every other number segment, and one of the numbers at the clock, if you zoom enough its very visible that those numbers got wiped out by processing

[1]: https://old.reddit.com/r/pixel_phones/comments/1c98wpq/i_not...
I wonder if that was a case of being literal as in, technically speaking gpt-5 isn’t being _trained_, while omitting that they are working on collecting and preparing the data.
A Delivery Chain Breach: A UK bank opened the back door to China
That's assuming the warehousing robots are commodities, which they aren't and maybe they'll be in a few decades.

It also assumes the moat to warehousing isn't huge, which seems kind of silly for such huge capital investments.
Has been discussed many times for sure, but is still nice :)

Notably, the formula basically just has any possible permutation of "pixels" of the given length in its output space, not just the chosen one.

In a way it is a mathematically encoded version of the "Infinite monkey theorem" and not really a quine (but can be considered one if you blink and embed the right number)

> The formula is a general-purpose method of decoding a bitmap stored in the constant
k
{\displaystyle k}, and it could be used to draw any other image. When applied to the unbounded positive range
0
≤
y
{\displaystyle 0\leq y}, the formula tiles a vertical swath of the plane with a pattern that contains all possible 17-pixel-tall bitmaps. One horizontal slice of that infinite bitmap depicts the drawing formula itself, but this is not remarkable, since other slices depict all other possible formulae that might fit in a 17-pixel-tall bitmap. Tupper has created extended versions of his original formula that rule out all but one slice.

The "self-referential" part of the name is a bit of a gimmick, could as well call it Tuppers formula.
What is weird is people use to pay for news papers and magazines. Yes there were some ads, but people still had a leg in the game by way of paying, it kept it balanced.

The internet grew up so fast and easy payment methods lagged, and still so mostly.

I figure out for my self if I can use Apple Pay, then I buy stuff, but if I need to do more than double tap on the power button I am out.
Biology is unique; no other classical study, in modern practice, (can) contain both the sheer magnitude of complexity and the propensity to sweep away that same complexity with just a mere (if only temporary) classification.

This may be a result of academic laziness - the question begs, especially when the answer is known. But showing your work is tedious in some fields, and impossible in others. The questions posed in biology must be formulated to be answerable a-priori with evidence that often appears to be biased towards confirmation outside of the domains of specialized experts.

It's hard to inspire wonder in the juxtapositional environment where any discovery will, at minimum, produce a magnitude more questions - all to be relegated to labels until another wave of motivation and technological processes facilitate another plateau of progress to be confronted.

Biology is hard. It's like reverse engineering, from scratch, the watch you found on the beach; 50 years and 50 miles away from the watch factory.
I think LLVM missed the boat, on this, by being an early mover. A lot of the optimizations are resource-only analyses; the few that re not are "just" various levels of interpretation. That kind of implies we need a framework to define resource utilization and evaluation at the instruction/machine-code level with a standard API. Having an optimizer for an abstract IR is less useful.

The point being that compilers would then target emitting reasonable machine code at speed, and The Real LLVM would do analysis/transform on the machine code.
With credit to Google, they were basically neck-and-neck with Facebook AI Research in a lot of ways. Both were publishing text transformers (BERT vs FastText), both were maintaining SOTA inference libraries (Tensorflow vs Pytorch) and both were investing heavily into researching the field further. I'd even argue that Google was the largest contributor to making open-source AI more like Linux and less like a shitty proprietary product.

There's a whole history of recent machine-learning development where both Google and Facebook have worked together and against each other to push things forward. I think it's entirely mistaken to characterize Google as the understudy when in many ways it's the other way around.
If I had children when I wanted to (which I am still saving up to do) then their grandparents would still be working full time.
Related:

I should have loved biology - https://news.ycombinator.com/item?id=32035054 - July 2022 (271 comments)

Discussed at the time:

I should have loved biology - https://news.ycombinator.com/item?id=25136422 - Nov 2020 (298 comments)
Some Llama3 400B numbers for the April 15th checkpoint are listed at https://ai.meta.com/blog/meta-llama-3/

Direct image link:
https://scontent-atl3-2.xx.fbcdn.net/v/t39.2365-6/439015366_...)
LOL putting a lot of faith in the average user to be able to Google something
Absolutely right. These basic concepts like the central dogma aren't especially hard to learn, but it's important to really understand them deeply if you want anything to make sense.

Among textbooks, Molecular Biology of the Gene by James Watson et al. is a good starting point to understand the central dogma: DNA -> RNA -> Protein. Likewise Molecular Biology of the Cell by Alberts et al. for cell biology.

An Introduction to Systems Biology by Uri Alon is good for the more mathematically inclined once you're ready to get more advanced, though you should really have a solid grasp on the fundamentals of molecular and cellular biology first.

None of this is for the faint of heart, but it's not especially difficult either. It's unfortunate that it's hard to get hands-on experience with biology once you've graduated from college, which helps a lot to connect the dots, but there are still plenty of great resources out there.
I was interested to learn that the 10.000 largest settlements in the world gets you get down to 48.000 population. I’m still trying to work out if that is a surprising figure or not.
I'll throw another one in. I remember being in my crib and rearranging the padded multicolored half-height liner and climbing under the serpentine shape. I have a random memory from what I think is 1.5 years old walking around the kitchen as my great grandma cooked a rice vermicelli in chicken broth. I vividly remember the boy I thought of as my first best friend in daycare and a whole bunch of age 2 memories, like eating maruchan ramen and lucky charms at a private daycare (these were two products my immigrant family didn't purchase until far far later).
sorry you didn't read the implied /s that I felt was absolutely unnecessary to actually type out giving readers here the benefit of the doubt that it was understood without stating the obvious. but thanks for reminding me that not everyone reads the intent
I'm not sure smart things and sealing would be the go-to solution when we're talking 100x the cost. Even 10x the cost starts to make the electricity bill close to rent. Whole house batteries, gas/pellet heaters, and gas stoves would suddenly get a lot more popular.

I'm not sure "throw out your major appliances that run on electricity and don't even look at plug-in EVs" is the direction we want to go when being able to cheaply meet evening demand at the grid level with renewables is the eventual goal.
Modern trucks (at least European-style cab-over trucks) have extremely soft ride quality. The truck itself has airbag suspension, plus an additional suspension system built into the seat. You do get jostled about a bit, but the movement is very slow and floaty. I'm not aware of any reports of vibration-related harm.
Everyone interfaces with it as secure abstractions in their chosen language, so it's understandable if most people don't think of it when they think of programming languages.
> In my experience teachers rarely explained, why we need the subject, and what's it's use.

That's exactly the opposite of being "beautiful, bizarre, fascinating, daunting, mysterious, majestic, labyrinthine, and awe-inspiring".
A lot of people put minimal possible effort in at the gym or other kinds of exercising.

I often see people "jogging" that are basically just walking with a bit of a skip, for example.

I believe this is correlated with diet, which most people think is just nutrition, but it's a lot more complex now. There are petrochemicals and toxins in basically everything, avoiding them is expensive and incredibly difficult and you will still inevitably be exposed. There are many of these chemicals that have been shown to have a direct correlation to slow metabolism, so it can make it seem to make everything more difficult if you are consuming large quantities of say, glyphosate.

Most people also don't realize that the bioavailability of food is important. Probiotics, enzymes, etc are usually completely dead or stripped by the time they reach your mouth after the highly processed pipeline.

Another note, there are literally thousands of micronutrients that we barely know anything, so that's also another variable. This is also just not looked at often, so you have to actually know to look to even understand their are natural compounds that may be useful, and then you have to deal with the quality control problem in the industry, and find a reliable, preferably third party tested supplier.

And also just discipline, which is harder when you don't have good nutrition, or your body is constantly processing mass amounts of toxic material. It also just requires willpower though, and applying it will build will to wade through the complex landscape of not poisoning yourself constantly. If you want to get ahead, you are gonna have to push yourself to an uncomfortable position.

Most folks would rather walk for 2 hours than do sprints for 5 minutes, even the the later has been shown to have significantly more effect on your metabolism, and requires much less time.

So in a way I agree, it's not as simple as just activity, it is moreso intentional activity at a level that is just above your comfort zone enough to make consistent progress, and hopefully you can do that without constantly consuming mass amounts of toxins that makes that whole process harder.
I was just reading this too! I think it's a really interesting choice in the design space.

So to elucidate this a little bit, the trade-off is that this is now incompatible with e.g. `jax.grad` or `lax.scan`: you can't compose things in the order `discharge_effect(jax.grad(your_model_here))`, or put an effectful `lax.scan` inside your forward pass, etc. The effect-discharging process only knows how to handle traversing pytree structures. (And they do mention this at the end of their docs.)

This kind of thing was actually something I explicitly considered later on in Equinox, but in part decided against as I couldn't see a way to make that work either. The goal of Equinox was always absolute compatibility with arbitrary JAX code.

Now, none of that should be taken as a bash at Penzai! They've made a different set of trade-offs, and if the above incompatibility doesn't affect your goals then indeed their effect system is incredibly elegant, so certainly give it a try. (Seriously, it's been pretty cool to see the release of Penzai, which explicitly acknowledges how much it's inspired by Equinox.)
Gilbert White was also a bird researcher
https://en.wikipedia.org/wiki/Gilbert_White
Star Trek Starship Enterprise Studio Model
Or a masters in CS 1 year program from the Arizona State
I dont mean AI here as in NN or LLM I mean like the traditional AI like you would find in an RTS.

But the proof is always in the pudding. I highly suspect that someone could write an AI that could play "Flight Controls" and play it flawlessly. So what does this prove? Well it proves that 98% of the work of the ATC can be automated.
Elon Musk's Robotaxi Dreams Plunge Tesla into Chaos
I agree, it wasn't an obvious case - more of a borderline call - you didn't do anything wrong, and I'm sorry if it sounded like I was implying that.
A filename consisting of nothing but ASCII Bell characters (0x07) is valid. Those are non-printable characters that (used to) make a sound from the PC's speaker. POSIX filenames can be sound, not text.

I'd agree it'd be nice if we could restrict filenames to valid UTF-8. But that's not the API that existing filesystems provide, nor what (most of) the existing OSes enforce.
Sure, who's volunteering to be the first one? For sure I won't volunteer for it :-)
The iPhone always messed up the colors of the PNW for me. It was one of the reasons why I finally took the leap and got an SLR style body before I moved there.

I have no issue using e.g. AI-assisted patch and heal tools in Photoshop and Lightroom. I have control over the use of the statistical priors there. But I don’t want the camera taking the pictures for me.
I have two memories that are similar to yours. One is from when my sister was born, and the other is of me crying in my crib, terrified for some reason. My sister is 2 years younger than me. I have two vivid snapshots in my head from those days. When I think about them, they each provide a 3-second vision of where I was, what I was doing, and how I felt during both instances. Each memory has different details, but the same overall tone.
> What’s the long-term game plan for open-source models when the corporate charity inevitably dries up?

Once open models reach and stay at near parity for a while, it’ll make sense for commercial downstream users to support open source community efforts rather than building their own, same as has happened in many other categories of key infrastructure software.
Good work but I can't stop missing Citymapper, especially how good it was before the pandemic and acquisition.

I love public transit and use MTA every day. A few personal projects mentioned here looks really promising. However, when I look at the fact that Citymapper is acquired for $100M and MTA is paying back $3B debt every year, I just wonder what was broken?
I like the work they're doing, they seem well managed, the guy who founded the project, Boyan Slat, I follow on twitter and he seems very competent. I did some research into this and various other orgs when YouTube focused on Ocean cleanup a few years ago, and was impressed by ocean cleanup. Donations are also tax deductible in a few countries.

https://theoceancleanup.com/faq/are-donations-to-the-ocean-c...
The CEO can. Not always ideal to have the CEO deciding the restroom soap budget, but if it's not delegated to someone else, it's up to the CEO. Keeping the company running is literally their job.
What is going on with this title
This for mentioning this, I found an audio of the talk at https://www.youtube.com/watch?v=KWNBzAgAiMc

Update I know see that this is taken from Chapter 26 "Experts" in Hamming's "Art and Science of doing engineering"
https://journals.library.columbia.edu/index.php/stlr/blog/vi...
Well, naturally, but neural nets are pretty good at feature extraction even in the presence of noise. I also just printed out his unblurred example at a scale approximating a real logo and took a photo of it. Came out just fine.
There was a clear leader 18 months ago. Then there was a lot of catchup by everyone.

It’s no longer “hard” build a product like ChatGPT + GPT 3.5, and that would include creating the model. There’s a few trade secrets, but it seems like not much beyond that protecting an ~8 month mote.
I've just glanced at LOAD81 now.. pretty good job! thanks for sharing.. I noted your keyboard event handling (using SDL).. we have something very related to this in Lunatik (at the kernel level, of course) [1]. We've a kinda fun script that uses keyboard event handling to implement a "key locker" using Konami code [2].

[1] https://github.com/luainkernel/lunatik?tab=readme-ov-file#no...
[2] https://github.com/luainkernel/lunatik?tab=readme-ov-file#ke...
> I should have loved curiosity, but what I’ve found are people looking to justify existing thinking.

Do you find yourself subject to that as well? If so, have you found a way to mitigate it?
There is a thing to say about "unnatural-ness". Handling horses up to a point had to be more intuitive and more approachable, we've been around horses and other mammals since forever. Around spreadsheets? 40 years, max.
Over half the average lifespan for the USA average and male, slightly under if female.
If you don't think that there aren't people doing that already in this country, get out of your bubble. How much do you think farmers are making?
Clear as day. Taken moments ago: https://photos.app.goo.gl/kB7hnyFh5GymYEnC6

Camera version version 9.3.160.621982096.22
Bash Simple Curses
Low quality post that doesn’t understand how DIDs work.
Hilariously easy to see why when you click through to his channel's upload history.
The iPhone tends to have a weird appraisal of white balance I have found so that might be the issue. If you shoot ProRaw (need a Pro suffixed device) you get a better copy of what hit the sensor than HEIC/JPEG.

But yeah DSLR/mirrorless if you want something accurate. Then again everyone just mutilates the thing in their own special way later in Lightroom...
A more charitable interpretation might be that their goal is to create space for good decisions to be made, and to de-risk those decisions.

Unless your mental model of a manager is "person who make decisions," than that is far from "doing nothing."
> What makes you think that’s the problem? The NYC school system, for example, spends $38,000 per year per student. Thats about triple what Japan spends per student. What else can the legislature do? And do you think the NY or NYC legislatures are any more corrupt than those in Japan or Germany or Sweden?

I wanted to ask if you were joking, but that wouldn’t be productive.

What else can the legislature do? Figure out why throwing money at a problem isn’t working. This is the point someone above made about private vs public industry. Private can’t operate at a loss. The federal, state, and local governments can, and generally do. I’m sure I don’t need to point out the federal budget deficit.

If a private company was given the same 38k per student with the mandate “fix the graduation issue or you’re fired” the graduation rate would absolutely change.
In general I agree, but Prodigy-level people can come with their own challenges too. Eg. They're going to be coming up with a million ideas for how to improve things, so you'd better be prepared to listen and support them, which often will require changing the way the organisation works. If you don't (or can't) support them, be prepared for them to get demotivated quickly and move on. The other 90% are generally a little less high maintenance, but I agree that they will never achieve as much.

IMO your best bet is to pick and choose who you need based on the situation. Your already-in-production CRUD app may benefit from a few extra 50th percentile coders to help with the workload, but if you're building a ground breaking product from scratch, then a deliberately small team of top echelon nerds may make the difference between success and hard fail.
I can never tell which icon is which.
I think the problem here is not only related to cloud environments. Is having an SQL command that writes the configuration file a good idea to start with? It's probably something dangerous, I prefer to SSH into the machine and edit the config file by hand, possibly adding comments describing why I've set a parameter to a specified value, rather than doing it with an SQL command.

I also think that is a feature that is rarely used, that probably shouldn't be on by default.
> doesn't start with a "clean slate"

The docs seem to suggest that the user can explicitly decline to save backup files?

https://docs.racket-lang.org/drracket/drracket-files.html#(p...

Presumably offers can be declined?

"When DrRacket first starts up, itlooks to see if there are any backup files still present and if so, offers to restore the backup files"
Greencards have a MRZ just like passports though.

Green cards are effectively entry-only passports (from the perspective of the US).
You can enter the country by land with just the GC with no passport. Additionally, if you arrive by air and you have global entry they don't look at your passport at all, just the GC.
Zilog Z80 modern open-source silicon clone
It’s still there in a little set of icons you have to memorize the meaning of and that will be changed two versions from now by the next PM who wants to juice up their resume.
Like others said the rename is an icon now but some other much used options like compress folder are still hidden under more options.

Luckily there's a registry key to turn this crap off. I don't have it to hand right now but it's easy to find.

But yeah that doesn't excuse anything. Setting up a new windows now takes ages to decrap it.
I’ve had the same experience. Switched to the pixel 6, had it for a year, bought the iPhone 15 Pro. I make a hell of a lot less than a lot of the commenters here, so the decision to do so was incredibly costly. I made it, in part, because I take a lot of photos.

At its best, the Pixel produces phenomenal photos. At its worst, they are horrendous. The iPhone consistently does well. With the Pixel I was getting disgusting over-sharpening, to the point I would screenshot photos as a few seconds after taking them. If I didn't screenshot, I would watch in dismay as the post-processing ruined it. The lens flare was frequently awful — lines that swept across the entire image. When I complained, the community said I should leverage this flaw in an artistic way. The video was awful, and the microphone was noisy. A few of my photos have had inexplicable black squares. Occasionally the camera lagged or crashed. My iPhone camera has messed up, but not like the pixel does.

I don’t know why everyone seems to think it’s better. Maybe somehow mine was defective, but I could find posts to corroborate every issue I had.