skysight-inc/HackerNews huggingface dataset:
In the enlarged photo of the ROM transistors, the transistor in the third row, second column, seems like it should be marked as disconnected.

Should it? Or is there something I'm missing in the way the transistors are connected?
Heh that may be true sometimes. Though in my perception, "writing secure code" is more about sanitizing input and preventing buffer overflows than about enforcing secure practices on the user...
It's DAU getting companies like this into over-leveraging, and it's a bubble we're still in. Good tech products are not necessarily capital/personnel intensive.

The "finish line" for Google is not the next Search, or real innovation, it is about longevity, maintaining an ecosystem, and "trading the news."

- Windows applications are risky, and inflexible -- Chrome.

- Laptops and Active Directory confusing ISD administrators -- Chromebook/Workspaces ecosystem.

- TikTok is getting a bad rap on the hill -- Shorts.

These are healthy and understandable business moves, but not everything these companies excrete is, good.

This is where buybacks should be terminated by our legislators. Not to punish these players for their rapid success, but to facilitate natural logistics for these hugely impactful, ubiquitouly embedded service providers.

On the less sane side of things:

- Google Wave beat Slack/Teams/Discord to market by 10 years.

- Google+ was 7-8 years late to the party.

- Stadia, obviously at-odds with AR/VR, and Deep ML.

- The only way to prevent "20% time" from hacking away at your own "terra firma" is to punish it, or make it impossible -- overhire and waste your employees time.
It's too bad no women were part of the study's author list. I feel like there is not enough diversity for the study's authors to seem credible.
> The real challenge, it seems, it simply that there are so few cycles left over to implement the actual game logic.

I haven’t programmed the 2600, but I expect that, in about every program for the 2600, running out of time for your game logic is unavoidable, and will make you go back to your universal, (relatively) easy to use kernel and tweak it to make it just a little bit faster for your particular use case.

Given that that kernel will be written in tight assembly, I expect that more or less amounts to a rewrite. You’ll use your knowledge f the kernel to write a new one.
To create a complete backup, one must first create a snapshot of the state of the universe. Then to be sure it worked, one must restore that backup and run regression tests.
Is Dakar Rally relevant anymore? Certainly doesn't seem so compared to the Paris-Dakar races I remember from the 70s and 80s.
Any analysis on skipping lunch? People do that too. Lots I imagine
I think the Intel 8051 is still used in embedded systems. I don't know about the 8086 but it wouldn't surprise me.
She's quite logical. She is doing this for attention to her political cause, and it is working. She clearly cares more about the cause than she cares about chess, which is a rational choice given her personal moral values.
Made a website to share and discover ChatGPT prompts
I agree here. I think the key for me was to redefine the relationship and not break it off cold turkey. I find it interesting that the OP mentioned a push notification is what brought them back into the addiction.

I also think it's important to remember some of these sites have been designed with the explicit intention of being addictive. Didn't some of the biggest sites hire behavioral psychologists to help design products that get people hooked?[1] I'm not surprised to hear that folks are feeling this way and I think it's an entirely valid and legitimate feeling to be addicted to Youtube and the Internet.

The internet has been life changing for me and I can easily say I have been addicted to it before. As an autistic person who has a lot of sensory issues, the computer has provided a super safe and easy way to explore the world. But it's been easy to get too attached and not want to do anything that I need to IRL.

In early December I disabled all notifications on my phone and set a schedule to check my phone twice a day. I've found that I've been way happier as a result and not getting stuck in internet holes. I see push notifications as a net negative on my mental health and I think I'll keep them off long term.

May we all find a healthy balance that works for us.

1. https://www.goodreads.com/en/book/show/22668729-hooked
I have skipped breakfast since college when I was much more concerned about bulking up. I drink two coffees and that gets me through til lunch. I’ve never really considered alternatives to this routine. If I wanted to experiment with breakfasts what do people recommend eating? The priority would be energy levels, and mental clarity since I tend to work better in the morning.
>and tracing is absolutely not "VERY common"

Paintover does not have to mean actual 'tracing', a LOT of artists use photos as direct references and paint over them in a separate layer, keeping the composition, poses, colors very close to the original while still changing details and style enought to make it transformative enough to be considered a 'new work'.

Here are two examples of artist Sam Yang using two still frames from the tv show Squid Game and painting over those, the results which he then sells as prints:

https://www.inprnt.com/gallery/samdoesarts/the-alleyway/
https://www.inprnt.com/gallery/samdoesarts/067/

That said, you could even get away with less transformation and still have it be considered original work, take Andy Warhol's 'Orange Marilyn' and 'Portrait of Mao', those are inked and flat color changes over photographs.
> Are people meal skipping and calling it intermittent fasting?

Yes, including when they snack all the time.
I assume there's something in their terms of service about not poking around in private repos and using the code even for internal purposes except for necessary maintenance like backups, court orders, etc.

I am not a lawyer but I also assume Microsoft's position, at least in part, is that they can download and use code in GitHub public repos just like anyone else can and developing a public service based on training with that (and a lot of other) code isn't redistributing that code.
This is common with people struggling with Obesity, often it is due to dehydration as people eat a lot of salt with their dinner and then stop drinking water so they do not have to urinate at night, the result is signals of hunger late in the evening

In my Experience, the best combo is One should stop eating by 6pm, and have 8-10oz of plain water between 6pm and 8pm...

//not a health expert, but my own experience this is not medical or nutrition advice...
Oops, yes you are correct. Now I need to fix my diagram :(
Ask HN: Will AI programs like ChatGPT be able to make conversations?
I wonder how far away the practical possibility of having a back and forth conversation is with these programs.

Specifically I wonder about the AI asking investigative questions, for example to narrow down the search space to generate more specific output.

Here's what ChatGTP itself said about this (slightly longer question than in the title):

> As an AI language model, GPT-3 and its successors have the capability to respond to investigative questions, but the quality and accuracy of the answers can vary depending on the complexity of the question and the amount of training data the model has been exposed to.

GPT-3 is trained on a wide range of texts and can generate text on a wide range of topics, but it's not designed to be an expert on any specific subject. It can generate text that could be used as a starting point for an investigation, but it's not able to perform an investigation itself.

As AI technology continues to improve, it's possible that AI programs like GPT-3 will be able to have more sophisticated conversations, including investigative questions. However, it's important to note that AI models like GPT-3 are not infallible and their outputs should be critically evaluated to ensure their accuracy.

In summary, AI programs like GPT-3 have the capability to respond to investigative questions, but the quality and accuracy of the answers can vary depending on the complexity of the question and the amount of training data the model has been exposed to. As AI technology continues to improve, it's possible that AI programs will be able to have more sophisticated conversations, including investigative questions. But still, it's important to critically evaluate the responses from these models to ensure their accuracy.
Intermodal trailers are fairly common but not the majority. Most trailers are box trailers, where the enclosed "container" part is integral with the trailer chassis. Intermodal trailers are used particularly in conjunction with ports and railyards.
You forgot Second Breakfast and Elevenses.
Stranded
> We were again (somehow) given permission to remake it since it went off.

That's insane
I'm familiar with those laws. The problem is that those laws can be invoked in ways that harm the child, just as easily as they can be invoked to prevent harm. You both are focusing on situations where the parent is abusive. I'm looking at situations where the parents are genuinely caring for the child, and the state invokes those laws to the detriment of the child.

I mean, it's too bad that the Ninth Circuit had to specify that "a social worker and a police officer are not entitled to qualified immunity for investigating a report of a child crying by making a nonconsensual entry into a home without a search warrant or special exigency and coercing a parent to aid them in strip-searching her child." [0]

As I pointed out earlier - what happens when the parent is well-educated, and knows better than to allow some treatment for the child, but the state decides otherwise and forces something that harms the child? This is the risk which we run when we allow the state to have final say.

Edit: archive link instead of original dead link.

[0] https://web.archive.org/web/20100706002834/http://www.family...
How it's protects from government confiscation if key is also stored at AWS (most likely on a different server)? Please explain.
But the whole point of software like whipper or EAC is that they crosscheck your rips with an online DB of rips (and you know, when your rip's checksum match, that it's 100% correct because there's no way you and x other people would have read the same wrong rip, misreading the exact same errors).

As I understand it cdparanoia does not such check. It's "paranoid" by its own but you're not verifying that your rip is 100% perfect.

But then if you then convert it to mp3 and discard the lossless files anyway, I take it you don't care much about data integrity.

whipper and EAC do serve another purpose than cdparanoia (I think, btw, that whipper is something uses cdparanoia under the hood) and I'm pretty sure that people who do care about bitperfect rips do not then go and convert their files to mp3s.

FWIW a .flac file (now a .wav but a .flac: that is lossless and compressed) is about twice the size of a 320 kbps mp3 I think.

Seen that songs are tinier than tiny files compared to modern standards I'm totally fine playing the .flac files I ripped using whipper.

It's both my audio "source" and my backups.
I can't give you any good reason why this happens with "intermittent fasting" in particular, but I can tell you that it follows a similar pattern to every other fad diet. Almost everyone who follows them starts controlling what they eat, focussing on losing weight and they generally succeed in doing so for the first ~6 weeks. Then for whatever reason, a small number continue to lose weight and the remainder (the majority) plateau and inevitably fall off and give up.

There are those who these diets work for, and some of those near religiously insist that it's simple and it should work for everyone and that if it isn't working then that's probably down to some personal failing. But the truth is that this is a pattern and it's not specific to any given diet, and it's not necessarily down to someone doing something wrong. For all that we think we know about diets, fat and weight - we haven't quite cracked weight loss and it's certainly not as simple as measuring calories in/out.
Oh, the many times I've been told "A large ship turns slow". I have no idea what's going on with Google but the sickness is familiar.

I am just trying to get a small thing done, not turn the whole damn ship yet that I am faced with the same bureaucracy and inefficiency. But I have had success overcoming that, at the cost of not being very popular.

But the real solution is managerial. It is remarkably simple: To get anything done, require the least possible number of people to be part of that thing being done.

But for managers, they love to throw people and money at problems.

But really, it is upper management that needs to basically micro-manage everyone under them specifically when it comes to headcount.

I fully expect the CEO of alphabet asking random project managers to justify headcount of not just direct reports but who is being involved in their projects.

If you need 2 devs to code, one to qa/test. That's it. You don't get anyone else. Not for redundancy, not for anything else. You don't involve legal or marketing, change management,etc... because that means rules and procedures and politics and meetings and planning.

The problem is very old: "If all you have is a hammer,everything is a nail". For mid and low level managers, all they have is "get more people" when they want things done. And the arrogance of being a bigcorp compounds this because "we are $bigcorp, we have a team for this and a well tested process for that,such and such team can help with".

You cannot compensate for loss of agility by claiming reduction in risk and liability. You should not let lawyers, marketing and middle management choke your company to death. It's up to top brass to piss off everyone in their immediate surrounding so the bottom line is good and the company is healthy. Ultimately, shareholders need to hold management accountable for wasting their money.
I'm just wondering how long it'll be until someone uses wlroots to write a client/server architecture like Xorg...
You can be a tech recruiter. But then you got a lot of competition there too.
A classic, but not one I'd want to have on my hard drive these days
The web has the strong advantage of being an enormous field built loosely on JavaScript. I'm not sure that's a perfect beginner language but at least it's not C++.

Games dev is a brutally difficult niche. Or at least it used to be, maybe these days the engine part is off the shelf and the programming a bit closer to storytelling. I've been out of that industry for a while.
If you are trying to actually rid the world of malaria, do you think washing the feet of the poor is the best way to do that? Like, I'm not saying that it's not a noble job, or that it doesn't need to be done, but how does it get you closer to preventing malaria? How many feet need to be washed before malaria disappears?

You're confusing treatment (make people feel better while sick) with cure (make it actually go away forever)
We can assess the analogy on its merits, but random opinions are circulated in docs at Google all the time. From this article, 186,000 employees, therefore lots of opinions. This is a random employee who's made an analogy, not a leadership owned doc.
10 minutes of problem sites every 4 hours with immediate tab closing is the magic setup for me.
Performance Pathologies in OpenJDK's BigInteger Implementation
1 - Oh man, this was one of the questions that was asked by almost every investor. The truth is that no one really knows. My best guess is that we're a decade or more away from true self-driving. Augmented driving might be sooner but trucking is one of the biggest employers in 35 states. Truck drivers are not going to let self/augmented driving eat into their paychecks.

2 - Unfortunately, the margins are too thin for owner operators to have a vested interest in climate. I do think that an interesting distribution strategy for cleaner trucks is to sell heavily into private fleets (e.g. walmart trucking) because there's an ESG angle that the companies can buy into. As for dedicated trucking carriers, it's going to be hard to convince them unless there's some realistic return on investment.

3 - This is interesting, I haven't looked into insurance too much personally and I know the barrier to entry there is extremely high. That being said, I think the liability aspect reduces the viability of offering low-cost insurance. Most trucks are essentially houses on wheels in terms of cost and a single accident can run in the millions.

I'd imagine that if you really wanted to build an insurance company for trucking, you'd need to focus exclusively on mega-fleets (25+ truck carriers) and somehow offer them better rates than legacy insurance companies. While owner operators pay a lot in terms of insurance, the market simply isn't big enough to build a cohesive risk engine and underprice existing insurance without taking on unaccounted risk.
While I don't know about the "Best Places to work" report... You can apply a filter of "Job Function" and get retail reviews from the same company page as engineering reviews. Thus, I would suspect it is "no, there is no separation of different job functions in the report".

https://www.glassdoor.com/Reviews/Apple-Retail-and-Food-Serv...

https://www.glassdoor.com/Reviews/Apple-Engineering-Reviews-...

You'll also find that FedEx Services (Best places to work #31) is different company than FedEx Ground (note the different revenue and number of reviews for the company).

https://www.glassdoor.com/Overview/Working-at-FedEx-Services...

https://www.glassdoor.com/Overview/Working-at-FedEx-Ground-E...
Maybe meal skipper double up and is more undisciplined on their meals because they think skipping one gives them a free pass
Boiled egg(s) and a banana are my go-tos when not skipping. Most days I skip.
From what I have read in the past this is just how the funding tends to work. You write a grant proposal for a study with 20 people, get funding, get results, use that to get funding for another study with 200, then 2000, etc.

Frequently they don’t manage to make it past the first couple levels because the results aren’t interesting.
Once your income depends on it, yes.
We Can’t Pronounce His Name, but He Was Basically Austria’s Gaudí
Show HN: Stable Diffusion Pokémon Cards
This is a toy full-stack ML app. It takes your text prompt as input and uses three models to produce four sample Pokémon card images:

1. StableDiffusion fine-tuned on Pokemon images

2. a basic RNN for Pokémon name generation

3. a basic OpenCV background-removal model.

The results can be occassionally excellent. Some recent good prompts from users are:

- automobile with wings

- water pokemon with two heads and amphibian legs

- jeff bezos

- phil collins

Other good previous prompts are provided as auto-complete options. My favorite prompt at the moment is 'Willy Wonka Cat' because the model nails the combination of Gene Wilder's Willy Wonka outfit and a typical feline Pokémon form.

There's really no interesting technical innovation in this demo. It's just a hopefully interesting combination of stuff that already exists.
It's become so easy to stick together ML models, often without training most or all of them yourself.

video demo: https://youtu.be/mQsMuM8d4Qc

cloud platform: https://modal.com

code: https://github.com/modal-labs/modal-examples/tree/main/06_gp...
Pro pro tip: Creating content on the internet is not free and if a creator says you can watch their video in exchange for watching ads OR paying for premium, if you care about those creators you'll honor that request.
Eggs and some veggies.
Watching twitch increased my game playing and urges to play
There is nothing wrong with it, but it's hard to do skillfully, especially in the chaos generated by rapid growth, and you may not realize the need until you're already trapped by your existing commitments. Good relationships in the company can fall apart in the decision-making, too (e.g. if someone's personal/career growth path is cut off by the decision to stop pursing something that's been built towards for years.)

Some types of businesses can do it more easily than others. Professional services can probably do it the easiest. A B2C business with a turnkey offering could have a lot of trouble paring back, especially if the product has a physical aspect.
"First, the gap between "Early commercial applications" and "Approaching transformative AI" seems very very very very very large to me."

It's a common opinion, it could be wrong by now, you see chatGPT is heavily edited, openAI told everyone they're editing "mistakes" or "dangerous output", but if you look at the "leaks", specially from the first days after the release of chatGPT we see powerful outputs, quite deep answers, not specially useful answer sometimes, but the "speech" of the system feels deep, there's a sense of a powerful intelligence answering very, very simple questions (simple for it), and even struggling to redact some understandable, short text.

It could be lots of things, and imprecise model, with long outputs for prompts, or maybe we had a glimpse into the real power of the model, which by now is handicaped, or maybe taylored to suit the very reduced short term memory of the humans:

a 72 screens long coherent answer, even being a precise, deep answer won't be useful for most humans, just like we don't name ourselves with long names of 10.000 letters.

but if the system, chatGPT is actually that powerful, a lot more powerful than we were told, we're interacting with just a shadow of the real model, and we're underpricing by A LOT the state of the art of the current AI technology, hence GPT-4 could be even more powerful than we're currently expecting it to be.

Just take a look at the GPT-4 suposedly 100 trillion or something parameters; if that's true, it looks like openAI isn't using naturally generated datasets anymore, and they are loop-feeding GPT-3 generated datasets into GPT-4, succesfully. If that's true, GPT-5 would be already in the pipeline, just waiting for GPT-4 to start generating its even more gigantic datasets to be trained. And so on.

Then the distance between early developments and transformative AI could be none a all. We could be already there.

But somehow the AI researchers are now trying to "dial down" the powerful entities they've trained, just having developed a simple, easily replicable, very small, but unusable 900 megatons nuke into something more realistic, like a 15 kilotons tactical bomb.
Also discussed the past few days:

Twitter has blocked 3rd party apps

https://news.ycombinator.com/item?id=34375551 (24 comments)

Twitter's API is down?

https://news.ycombinator.com/item?id=34363743 (410 comments)
teach me some melodious sonnet /sung by flaming tongues above
It would be interesting if AI would end up raising the expectations placed on humans for academic (and other) publications, and maybe even for general discourse, because “obviously” if your output can be replaced by an automaton, you’re not up to snuff and can’t be taken seriously. I’m not holding my breath though, the opposite trend of putting AI up on a pedestal is quite strong.