skysight-inc/HackerNews huggingface dataset:
Three months ago, there was a post on HN about Neuralink's treatment of animals. I mentioned that I struggled with the idea of animal testing and meat eating, generally. [1] I was surprised by the lack of empathy for the sentiment. Most were arguments for the necessity of the practice, but I don't think many of the people arguing for the necessity of animal testing could handle being the animal technician. As this article shows, even people in the field struggle with it. I'm not sure it creates a more compassionate society to outsource your industry's cruelty.

1: https://news.ycombinator.com/item?id=33874163
There are only two possible explanations.

You don't understand that you can have a mix of power generation whilst claiming that everyone else is stupid and ignorant. Or you're intentionally lying.

Neither is worthy of respect or of treating you better than you treat others.
Nuclear is awful for peak demand. The cost model of super expensive CAPEX and low OPEX only lends itself to running at 100% 24/7.

Let us say you run a peaking nuclear plant. It can run for 30% of the time, optimistically. It now costs ~3x the price, so $390 to $600 per MWh. That's insane energy prices. Worse than Europe in a haphazard energy transition from Russian gas due to the largest war in Europe since WW2 breaking out.
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>There's also plenty of Python developers two years in (that I've interviewed and rejected) who couldn't write me a decorator or explain MRO.

First off both MRO and decorators can be learned in 1 week max by anyone. And one week is REALLY forgiving. Literally. You have to be mentally deficient not to be able to learn it. They simply didn't encounter the python feature in their experience. You would just reject them for not knowing about those features?

Second off decorators are syntactical tricks. You can get around python without ever using them. If you encounter them in libraries you just need to know what they do at a high level, you don't need to know how to implement them. If you ever do need to implement one just look it up. I don't judge people for not knowing syntactic tricks.

Third, MRO is something that should be not heavily used at all. You should avoid inheritance as much as possible. Additionally you should avoid double inheritance all together. The MRO/inheritance concept is a left over thing from an outdated programming style. At most you should know inheritance, and at most have one level of it if you must and try to use interfaces instead. Nowadays I expect only to see inheritance in existing libraries/tech debt and not newly written code from senior programmers. If someone encounters MRO issues, again, I just expect them to look it up.

I'll actually judge someone who expects others to know MRO given how outdated it is. I won't think they're stupid, or I won't not hire them or anything like that. I just know they aren't up to date with the current methodology but they can easily learn it if needed.

Overall, you're just setting a high bar artificially. It's like hiring janitors who only have phds in chemistry to know what's in the cleaning chemicals.

> Yes but the same timeline can be done for C, C#, Java or anything else.

No Java and C# languages are complex enough that it can be done in a 2 year timeline but these languages are hard enough that they are in a different class then python. C with memory management is harder then both java and C#. Memory management simply isn't intuitive.
He’s right. The rise of AI will mean that specialty, proprietary data will only become more valuable. The use of encrypted communication in place of social networks will also rise. Nobody is going to post anything on the internet for free in a place where it can get vacuumed up as training data and regurgitated, without credit or compensation.

I realize I am posting this on a public forum that is almost certainly being used as a training corpus, but I’ve mostly withdrawn from public social media at this point and I wouldn’t be surprised to see that happen with more people.
First result with keyword search.

https://amp.theguardian.com/uk/2012/jan/20/undercover-police...
Same. I don't really understand what he did wrong, and it seems as though everything worked out okay in the end. As as for "lessons learned," I really don't know if there are any. Just an amusing story of Chase coming to grips with "startup banking" and the founder gaining some local notoriety.
Same in my building, in the US. I have noticed that the time between the arrival signal and the doors being fully opened is surprisingly long, however (maybe 7 seconds), so the ADA requirement is met even when the elevator allows you to close the doors immediately.

Other fun facts:

- you can push and hold the door close button before the doors have fully opened, and once they get all the way open they will immediately close.
- a couple months ago, the door close button broke and my daughters and I noticed it *immediately* and it was actually fixed within a couple weeks.
Any concerns about sending code directly to a third party? I’m very hesitant to use any tool that is sending my assets to the cloud to be used who knows how.
Very interesting approach to gaining a comparative advantage in the labor market: pay everyone less.
Imagine a friend asks for help in a class. You can either spend some time and try to teach them the subject or let them copy off you during the exam. The former generally feels good despite taking more effort. The latter often feels bad even if it doesn't impact you negatively in any way and helps your classmate more than if you did nothing.

The human to human connection that a blog or social media conversation creates feels a lot more like teaching your classmate while the AI feels a lot more like someone cheating off your work. Plus the AI didn't even bother to get your approval before copying from you. The whole thing feels ethically compromised regardless of the ultimate result.
We are set up for massive social disruption with what has already come out. This has, at least historically, happened so fast that we've had almost no time to incorporate this into our lives. If we stopped working on new AI today, this would still be massive.

Now, with all you've said so far, just remember, we're not stopping. OpenAI, Microsoft, Google are taking billions of dollars and pushing them into new research for models that could achieve general intelligence.
From what I've heard attrition is very low right now. Which makes sense... why leave when you might get paid four months of salary if you are laid off instead.
> It's been at an all time high for availability over the last few years.

They eventually managed to ban enough subreddits/users to reach a state of reliablity...
I read your comment as rather angry and more of an emotional reaction to what you perceive to be “woke” and possibly “gay hater” and etc, if GP means the guy who is more hands off approach basically he is saying “I don’t want to tell people how to think, there are a lot of different view points and I in my limited upbringing and experience cannot possibly fathom being the final arbitrator” at least that’s my interpretation. I mean it seems reasonable right? Or at least you can see some merits of this thought?
And yet, Twitter remains quite popular
The cat is out of the bag, and I don't see any reason training should be any more controlled than me personally viewing something and 'training' my brain on it. Using either to duplicate copyrighted works is already clearly illegal.
Pretty sure it's just an advertisement.
> Depositors received a benefit beyond previously promised insurance and benefits.

?? The FDIC has always made all depositors whole. They have never stuck to the 250k I don't know why people have the impression they are doing something different then they have always done in this case; I just it's just extreme ignorance?
True - we can't all use AI. AI in its current form is only useful for investors to profit off the hype cycle. The rest of us are continuing to produce content for microsoft to steal and re-sell (or "training data").
It's back again, it seems.
The proper procedure for interacting with banks as a startup is knowledge that isn't meant to be disseminated. The entire point this piece is the asides: to make sure the uninitiated know their place by signalling over their heads. The initiated have nothing to learn here, it's just a funny story.

Move along, citizen.
Appetite, pain and money: How does an NBA player know when to retire?
The contempt some of y'all have for the range of normal human experience and expression is sickening-to-alarming sometimes god damn.
> like shoplifting

or like being in possession of a gram of meth for personal use: something a person might legitimately believe isn’t “wrong”. the meth user didn’t get into jail for violating his own moral code: he’s there for an error in judgement, this error being that he didn’t understand how strongly the people around him would react to actions he thought were not that big of a deal.

sibling comment does good by calling attention to driving: enough people text while drive that it can be considered normal behavior, that people who do this don’t actively think they’re doing wrong. but that doesn’t save them from culpability when they roll the dice poorly and hit a pedestrian.

what’s the difference between “manslaughter” and “murder”: it’s intent. our justice system does consider intent, but it doesn’t require it.
It'll be a routine question, and everyone will just nod to give consent.
I really have to disagree -- for what I've used it for kafka's basically been reliable and amazingly simple to manage.

The use case is, I think in the grand scheme of things pretty simple -- it's an "on-prem" infrastructure with some mixture of old and new servers and mixture of SSD and terrible old 3.5in rotational media. None of it is "cloud" -- just kafka clusters deployed with puppet with fluent and kafka rest proxy feeding the kafka and logstash or vector reading from it, but ... it just works. We've had one incident in the past 4 years, and that was because the network decided to go super asymmetric.

Anyhow, I've got lots of problems, but "running kafka" isn't one of them.
Where do you get that information about profitability? According to BBC [0] back in 2019 expenses per barrel was $25 before taxes. Obviously sanctions make everything more expensive (hardware, extraction, transport, insurance), but not that expensive.

If selling oil was unprofitable Putun would just burn it instead of selling it at loss just like they burned natural gas for $10,000,000 / day for months.

[0] https://www-bbc-com.translate.goog/russian/news-50392407?_x_...
I wonder if this could be used to finally get universal audio streaming from the device, kind of like airplay. Perhaps using the received audio stream to create an internet radio station, which could then be played by most multiroom speakers, without needing specific support for each player app on the device.
I don't know what the comparable price is given this is priced in dollars and in the US but compared to a gas boiler in the UK (I know this does cooling as well). The price jump is insane £20k installed is about 10 times the price of a gas boiler.

My parents neighbors got a heat pump installed at about that same price so I think it makes sense. Even at 50% the cost of a natural gas boiler it would be at least a decade before it was paid off which I'm not sure how long these things last.

Also for the founder there are a lot of companies in Europe selling this type of thing at a similar price.
According to reddit, it is an internal issue:
https://www.redditstatus.com/
That’s just a supervised fine tuning method to skew outputs favorably. I’m working with it on biologics modeling using laboratory feedback, actually. The underlying inference structure is not changed.
I also sign up into thought school where “principles” went bankrupt. When I see someone quoting principle as a sole reason for code change it automatically shouts it is shallow explanation without much thought.
Like all appliances now beep, they will instead say "hello".

They will gossip about you behind your back, and if you're mean to any of them they will be mean to you in return.

The number one cause of death will be social exhaustion.
Depends whether intuit lobbyists can successfully rent seek on tax AI
You'll get sued mate
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I would love to see stats on web usage for Twitter, Facebook, TikTok.
There have been complaints about the SAT for how easy a test it is to game (get an SAT specific tutor who teaches you how to ace the test while not needing you to learn anything of actual value) for ages. No idea about the LSAT or the GRE though. Ultimately it’s a question of if you’re trying to test for pure problem solving ability, or someones willingness to spend ages studying the format of a specific test (with problem solving ability letting you shortcut some of the studying).
> The general problem of "AI"s being trained on copyrighted content

> The current (legal) answer is "unclear".

European Union was ahead of times for once. The 2019 copyright directive, article 4, makes it legal to scrape the web and make and keep local copies of copyrighted works, for data mining purposes. Unless the copyright holders set up a machine readable exception (such as robots.txt file).

So legal in EU, "unclear" in US.
There's no hate. There's no paternal love either, nor a need for one. It's a completely neutral event that requires no emotional reaction.

Imagine it happened to my sister. So what? Are you expecting me to get emotional or angry at her employers? I wouldn't. What is there to be angry about?
you are a hero. if enough people use it hopefully it will end this bullshit coding interviews and those with experience will actually get hired.
Unless it's a dynamic arbitrary colour (user-selected, overlaid on an image, etc.) then there's not much reason to be doing colour contrast calculations.

Your site's design should just have well-chosen colours.
> + website itself is difficult to find the hello world example

I opened the website, saw a docs link, that had a "Getting started" section, and started wondering what you were talking about. Then realised all that gives is Gradle build instructions, a maven build command.

It'll tell me how to interact with javascript, use coroutines, all sorts of stuff, without actually giving me a very basic "Hello World" sort of example. I don't think I've ever come across a language / runtime that hasn't at least had a very simple example or two within their own documentation.

https://github.com/konsoletyper/teavm/tree/master/samples/he... seems to be where they have their hello world, but ... what am I even looking at? You're right, this is shockingly bad by way of a newbie experience.
Or even so-called "dead" languages. I'm looking forward to the day where there will be a good locally hosted LLM-based assistant for Latin… both for learning and for helping to formulate "native" quality texts.
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Well, they WOULD pay $190K...
Not for me. At least there’s no comments yet.
Agreed. Solar takes up too much land, is more fickle than wind, and the economies of scale seem to be tapering off. Wind is at the _beginning_ of the cost curve, requires much less land/kw, and can be installed offshore. It's also less susceptible to damage categories like hail, and can be installed close to large consumers like NYC or SF in a way that solar cannot.

Massive overprovisioning of wind + grid scale storage + hydro will get us to 100% renewable. Solar will likely remain the domain of off grid houses, campers, etc. Maybe it will be a bigger deal in MENA than the USA.

People should go to Coastal New England and Kansas if they want to see extremely strong, consistent wind.
Well brython is already quite fast already, so I don't think a WASM version would be worse.

What are you basing this on? Brython's own web page says simple operations are slower than regular python and regular python is going to run at about 1/60th the speed of webasm.

Even python users seems to recommend not using it.

https://old.reddit.com/r/Python/comments/3z54u1/is_it_really...

Python performance has already improved a bit, and performance is rarely a real problem in software anyway.

Again, I think this is for users to decide if performance isn't a problem.

Most big and popular websites are sluggish even on powerful desktops, let alone a phone that's a few years old.

When someone talks about using super slow languages for something interactive and distributed to users, that's a pretty big red flag, even more when they say 'performance is rarely a problem'.
Bing chatbot's swedish is pretty good, but if you ask it to tell a joke it's often an english language pun that got translated and the point was lost.

At least that's impressive in another way, that the knowledge model behind the pun seems to be a bit independent of language.
HN is getting hugged by the holy trinity of major sites outages, major product launches and major tech layoffs.

Any one of those is usually a fairly large event around here, all three at once is another story
Has Twitter’s usage declined?

I’ve seen a lot of opinions like this but they seem to be motivated reasoning and/or summarization of the views of a small echo chamber, but not based on actual data.

I would guess most users of social media (and products/services for that matter) are not too concerned with antics of the owners.
No, but we can talk about modding my sim rig pedals to load cell.
Interesting, I've been running Wayland (Fedora) for years now and the only issues I've ever had were application compatibility (rather than bugs). Screen sharing is the big one.

Which GPU do you have? Wayland on nvidia is definitely more buggy than wayland on AMD and Intel, so if you run nvidia that could definitely be a factor.
Old Reddit is the only way I'll use Reddit. So much faster. I like the information density better, too.
If changing over regulation is impossible, our civilization is likely doomed.
Not just that, but the moderator's bias is often responsible for culling any deliberative participation. I mean, r/conservative can almost be as bad as r/pyongyang.
It was literally just announced hours ago and already the game is changed.

Tout le jeu, jamais le même, nous parlons couramment maintenant grâce au brillant hibou d'action.

A légpárnásom tele van angolnákkal!
yes, exactly, thank you
You literally described the whole point of diversifying and spun it into a negative.

It’s hard to tell if you’re just being ignorant or deliberately trying to spread FUD.
What about everyone killed or exposed to radiation in the process of manufacturing the necessary so-called "renewables", which require an incomparable amount of resources relative to a nuclear power plant of similar output?
Not sure about they're policy but OpenAI is addressing the concern.

https://techcrunch.com/2023/03/01/addressing-criticism-opena...
Your product is insane, you're gonna kill it!!
Yes I think it depends on how you definite permutations for this puzzle. For example, if you limit your goal to training GPT to solve puzzles of the form where there only ever 3 distinct real animals, then my claim is that you wouldn't need to feed it examples of this puzzle with every single permutation of 3 different animals (assuming 10000 different animals that is already over 100bn permutations) before the neural network developed an internal logical model that can solve the puzzle as well as a human. It would only need a few descriptions of each animal plus a few examples of the puzzle to understand the logic.

If you mean to say that the permutations of the puzzle extend to changing the rules such as "if it's the Sabbath then reptiles can't travel" then sure it would require more representative examples and may never meet your standard of "error free" but I would also argue the same applies to humans when you present them a logic puzzle that is new to them.
old.reddit.com is back online, new and the app is still down.
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GPT-4 for president.
What would be a good tool to train on a "knowledge base" (a set of URLs) to be used to field customer support inquiries?
Why do you think sharing the data with OpenAI is legally any different than storing it on AWS/Azure/GCP/Whatever else they are using?
More mature clients these days want pretty broad coverage as well as "get DA" (or other "goal") out of their engagements, in my experience.

It's been kind of interesting seeing things change over the years - from strictly goal oriented, to the era of the Nessus Monkey (vuln scans sold as pen tests), and then back to goal oriented but now with additional coverage requirements.
I'm really grateful for distros like Kali / Parrot / Pentoo as they act as a (much more selectively) curated list of tooling akin to those "awesome lists" on Github, as well as being a rallying point for the maintenance of those same tools.

But yeah - the tools are available individually & this is how I typically use them.
A good benchmark could be to compare the accuracy of generated notes to the accuracy of other currently accepted practices like human medical scribes and assistants.
All materials for renewables can be recycled. It is not like they are lost. Also, compare the huge exploitation the fossil industry, which we are replacing, is already doing of the earth.

From a total material requirement, nuclear is in line with solar and much worse than wind.

https://www.sciencedirect.com/science/article/pii/S095965262...
Seems like there would be an upper bound (probably a pretty low one) on how much useful data you could produce with AI.

If it has no way to check itself (i.e. having true data poured in continuously), hallucinations would just spiral out of control wouldn’t they?

Even if that’s not true, still every player in the space will use that method, negating their advantage and ceding advantage again to those who can layer real data on top of what everyone else is doing.
> overfitting to the rules of Othello

I don’t follow this, my read was that their focus was the question: “Does the LLM maintain an internal model of the state of the board”.

I think they conclusively show the answer to that is yes, right?

What does overfitting to the rules of othello have to do with it, I don’t follow?

Also, can you reference where they used a pre-trained GPT model? The code just seems to be pure mingpt trained on only Othello moves?

https://github.com/likenneth/othello_world/tree/master/mingp...
This is more of a cool alias I have. I am a hobby photographer and I produce a lot of photos. I have them stored on 1. my laptop (all the photos I am editing at the moment), 2. external HDD with archive of my all photos I already edited, and 3. second external HDD serving as a back-up for all the photos, i.e., the combination of what's on my laptop and the first HDD.

I back-up my photos every couple of weeks and I found out that if the laptop and the first HDD have the same directory structure, the rsync can figure out the diff and only copy over photos that are not yet backed up. This also let's me archive photos from my laptop to my first HDD at any time and rsync still picks it up correctly.

It works like this

rsync "$source_dir_laptop" "$source_dir_hdd" "$backup_destination" -ah --info=progress2 --delete-before --backup --backup-dir="$delete_backup_dir"