skysight-inc/HackerNews huggingface dataset:
> I can almost guarantee that young people don't have social security on the top of their minds. It's school school school internship work, that's it. Those bars are raised each year. Leisure time is social media and video games. All that got amplified in 2020. Not hard to see why they're depressed.

You’re assuming a level of insight into people’s meta-knowledge of their own mental state that I don’t think is warranted. Maybe they’re not thinking of social security, but maybe there’s mental health benefits to caring for elderly grandparents at home that people don’t appreciate.

As to leisure—in the 1950s, half of 16-19 year olds had jobs. Today it’s around 30%. Maybe having a real, if menial job is more fulfilling than playing video games or doing bullshit box checking exercises for college applications? That’s a cultural change too.
Lots of hubris to title your idiosyncratic proposal as an alternative to the wholesale ban on the sale of ICE cars...
>Unless of course, they were already there and humans' history dates way back (i.e., before the island shifted east due to tectonic plates movements)?

this hypothesis' timeline is way way way off. modern humans have been around on the scale of hundreds of thousands of years. significant tectonic shifts are on the scale of tens of millions

sea level changes? maybe. tectonic shifts? definitely not
Try asking chatGPT
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I haven't tested Turbo Pascal on it, since i'm not a Pascal programmer, but the HiTech-C compiler runs and creates working executables, its not a stretch that Turbo Pascal would either.
I talked to a heart surgeon in his late 50s about 10 years ago. "Who knows, we'll all probably live to 100!" I said, lightheartedly (don't remember the exact context).

"No", he said, "my generation might, yours is too unfit, too young, to live that long".
Which the author admits three quarters of the way through:

> The way we achieve exactly-once delivery in practice is by faking it. Either the messages themselves should be idempotent, meaning they can be applied more than once without adverse effects, or we remove the need for idempotency through deduplication.

Honestly I don't get why this is "faking it" though. It seems like the author's definition of "exactly once" is so purist as to essentially be a strawman. This is "exactly once" in practice.

Like are there other people claiming that this purist version of exactly-once does exist?
Saviours' Day
I'm a half a step ahead of you. I've been out of corp from FAANGM since mind 2019. Mainly due to becoming a full-time dad. However since, I've been pondering how to gen income. I'm kinda not within their "desirable" age/ethnicity/wage. So no option but to be entrepreneural like yourself.

Mainly been listing all of my abilities, resources and ideas then match up with barrier to entry by cost/competition etc..

Coming very close to a few ideas to implement. One wish I have is to be with someone motivated like myself to inspire each other. I don't seem to have the itchin to start and need a kick in the pants. Also miss the camaraderie of being in the workplace....
Incredible post. Highly worth reading. Like the author, I see more and more denial around AI's increasing existential risk. No doubt many now see AI increasing in capabilities, but most seem to just feel like "The experts are handling it and it won't get out of control".
No the public API is limited to 4k tokens for the time being, although it seems that a longer context window version is in the works
This is the perspective many people have, but in my experience it falls short. To quibble with your examples:

> As you specialize, you frequently have major classes where its "first week or two we dig into what you already should know, then we really dive into the deeper stuff."

Yes, they do this. But I've often seen (especially at the undergrad level) instructors avoiding topics or challenging problems because it required material beyond just the basic math/calculus (e.g. some trig identities, differential equations, etc). So in practice, this is not happening.

> Or you take up a job, and maybe you have to refer to that one topic from class years ago twice a year, that's spaced repetition.

It's even worse at work, where you don't have a teacher to enforce things. Suggestions get shot down all the time because coworkers have forgotten some (even trivial) things they learned at university, and they do not want to review it. I've seen this happens where they avoid basic Calc I stuff, where they avoid stuff in data structures (e.g. union find). They'll implement a poor solution, and convince management it can't be done better. Or that it can but it's a long term risk because if that one person who knows "union find" leaves, we won't be able to hire someone to maintain it, etc.

> If we encouraged spaced repetition on each and everything, I would be wasting a ton of time on subjects that ultimately aren't relevant, at the expense of free time and maximizing time spent on the relevant bits.

Michael Nielsen did an analysis of this after using Anki for a bunch of years: The average amount of time spent on a card over one's lifetime is about 10 minutes. And so he used that as a metric when encountering any new piece of information: "If I don't learn it, do I think I will spend more than 10 minutes looking it up in the future?" If yes, he'll make a flashcard for it. If not, he won't.

But yes, I definitely have disabled cards on topics that I don't think I'll want to touch again in the future.
Not with multi-casting.
ControlNet became popular with in the last couple of weeks and LoRA fine-tuning slightly before that and both things have completely changed the landscape too. Even a month out of date and you are a dinosaur at the moment.
>You're fine until 40. Then you have to earn your existence

Save up with better health and fitness before your 40 and being 40 won't exactly feel like the end of the world. Before 40 is when you should be doing all the things you note.
"The IP routers in the path will not re-send the UDP packet on their own!"

First rule of networking: Every bad thing that can happen, will.

If nothing else, by sheer bugginess you will certainly have something, at some point, retransmitting UDP packets for no good reason.
Right. I meant I don't believe that is an explicit goal/conscious thought, for most of them. Sorry for not making myself clear.
We had to restream server events from openai -> our backend -> client. It was pretty simple.
They probably shrunk the model from 175B to 17B. That's your 10:1 price reduction.
So that price you pay covers it’s extraction, refinement and whole sale purchase and transportation?

You sure that isn’t subsidised somewhere along the line?
> Does banning diesel and petrol stop BEV manufacturers having incentives to improve? They will simply get the market for free and own it without having to improve batteries, charging speed and range.

Why would banning diesel and petrol cars result in BEV manufacturers not competing? They would still compete with each other to build the best BEV at the lowest price, just like any other market works. Just like the competition between ICE manufacturers resulted in ICE improvements for decades before EV turned up.
Idempotency - famously complex. No one has ever successfully implemented it, great point.
>(Fossil fuels = bad) does not mean the same as (combustion engine = bad). There are lots of green combustion options, first on the list being hydrogen gas as fuel for a combustion engine.

In practical reality this just means there's just going to be fossil fuels cars past 2035. Not "hydrogen" or other.

Not a big surprise, the "plan" was unrealistic from the start, and it's just put forward because 2035 appears "too far away". It's going to be revised time and again anyway.
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Don't know why this was downvoted, I tend to agree. There's a clear relationship between the money and the product. Pay money, receive access to a bunch of shows.
(as opposed to, e.g. SEO click-view advertising shadiness)
I totally relate in terms of hyperfocus. I very often get so excited about an idea (like learning neuroscience all of a sudden) that it's hard to sleep.

In addition, I can't go to bed and distract when I have an issue at work or a task I don't know how to solve yet. I physically can't think of anything else until I figure it out. It might sound paradoxical in the context of ADHD but as far as I know it's pretty common :)

Sometimes I think I might be just awfully undisciplined. But it's more tricky than the standard procrastination. And it definitely wouldn't show when I want to watch a TV series or listen to Spotify
I don't think that's such a problem for apple, since there is such a market for 3 year old products from them. iPhone 8 was effectively a product being sold for 5 straight years from apple, as the 8 and then as the second generation SE. For their computers, they also sell them for a few years past when they were cutting edge too, since there's always a market for a macbook that's a few hundred bucks cheaper and most consumers don't know what the difference between M1 or M2 might be anyhow.
Ban cars in cities instead. That makes much more sense and would be fairer too. This EV bullshit is yet another regressive tax on poor people. I am no longer poor, but I have sympathy for all the people who have to live paycheck to paycheck, getting hit with this nonsense.
This is mostly true, yeah. Although in certain cases OpenAI is indeed pushing research forward themselves (not only using existing algorithms/architectures just at scale) and therefore has first mover's advantage, e.g. with reinforcement-learning-based fine-tuning based on human preferences (Reinforcement Learning from Human Feedback, RLHF), which is basically the secret sauce which turned the original relatively-dumb GPT-3 (pure language model, "document autocomplete", what is the next most likely token based on my training data) into ChatGPT (what token would a human prefer to come next).
I would add, "don't drink alcohol", "don't smoke/vape anything", but that's just me.
And you're focusing on the funding requirements of the blackboard and chalk in that equation?

The funding (and quality!) of the professor seems more relevant, whether they're teaching on a blackboard, a fancy networked glowing screen, or just declaiming from atop a rock.
Question, Can I give openAI some data for it to process so I can use it to my own advantage. Say I want to train it on specific topic of information I've gathered over the years. Can I some how give it that data and then I can use the API to get back out data in a chat or some other forms of questions?

I'm not too familiar with how it works.
It was so obvious when they went full-bore on "AI ethics" that it was a case of legitimate concerns combined with a convenient excuse for massive corporations to claim the mantle of responsibility while keeping their models closed source.

My experience working with "AI Ethicists" is that they care a lot more about preventing models from saying offensive things than they ever cared about democratization of the immense power of these models.
Ok, but for 100 to be the average life expectancy, we’d have to either shift the curve so that half of people live much longer than 100, and really tighten the distribution, so that deaths at 60 and 70 don’t happen anymore. Something like 85-115.
I wasn't aware Lightsail was this reasonable, thanks. Can you share if you found the speed comparable to other VPS?
That doesn't seem so specific to imply a connection. For most of human history we spent our time trying to not starve. Hands holding a contented belly seems like a universal symbol.
Any good resources on how to use flakes? I'm currently experimenting with having home-manager work via a flake but I haven't come across any good HOWTOs on common operations. For example, I'd like to update the flake dependencies similar to how I used to use "nix-channel --update" to freshen the dependencies used by home-manager.
Arduino Announces GIGA R1 WiFi, Its Most Powerful Board Yet
Not that I am promoting the theory as true, but to steel man it: the same way that you find evidence of Vikings in Italy, or Tamils in Australia before colonization from Europe. I.e. that people traveled and we don't at this time have a clear idea exactly when and where they traveled, but more and more we are understanding that our modern perspective has grossly underestimated people of the past.
> I notice that you still seem to be using electricity and a computer.

Electricity is (should be, will be) practically free [0]. Unless somebody is living like a caveman they should not be advocating for responsible stewardship of earth resources?

> I'll bet you're still eating food that was transported by internal combustion engines

You want to reduce the carbon footprint of your food? Focus on what you eat, not whether your food is local [1] [2] [3]

[0] https://www.dlr.de/tt/Portaldata/41/Resources/dokumente/inst... - 254x254 km grid of solar panels is enough for the whole world

1] https://ourworldindata.org/food-choice-vs-eating-local - transport is a small contributor to emissions. For most food products, it accounts for less than 10%, and it’s much smaller for the largest GHG emitters. In beef from beef herds, it’s 0.5%.

[2] https://plantbasednews.org/news/plant-based-lifestyles-imper...

[3] https://ourworldindata.org/land-use-diets - if the world adopted a plant-based diet we would reduce global agricultural land use from 4 to 1 billion hectares
Be honest, expose the strength and weaknesses.
I think the main interest to submit a project on Hackernews, is the discussion in the comment section.
The feedback helps a lot to improve the submitted project.
If you actually read the article, it proposes ways to deal with the issue and discusses some tradeoffs.

Erlang may have different tradeoffs, the ecosystem may be smaller, less libraries available for important tasks, who knows.

The religion of the one true language has to die, it all depends on the circumstances which language is the best fit.
But it worked, so it can't have sucked too badly.
I find myself missing the golden age of Google, where it actually returned results and answers that you wanted, on subjects you were looking for. Even now, versus two years ago, I tried finding a snippet of a notice in a newspaper with specifics about a name change someone petitioned in California. I found it then, and had bookmarked it, but trying to find it again just turns up absolute garbage, thankfully I found the bookmark. I can go to ChatGPT and ask it about the best vegetable or fruit to grow in a several gallon Kratky setup, looking for the same sort of answer in Google returns absolute garbage.

I'll concede that LLMs like ChatGPT are the future, thanks to the NLU stuff from OpenAI and the dataset, but only the future of "agents" if you want to call it that. The "intelligence" exhibited emergent from language itself, from the massive dataset it has trawled. Our language and knowledge. But at the same time I surely hope that another AI winter doesn't come because of people over-promising and under-delivering. Or, too much focus on LLMs themselves because of that "wow" factor, the same wow factor you got in the past, when search engines weren't garbage if you knew how to use them and what their shortcomings were.
My kids' California school relied heavily on "voluntary" donations, which depend heavily on the socioeconomics of the parent community.
its very much not likely to happen given the implementations, but the IP layer does not guarantee at-most-once delivery
I don't know of a more appropriate quote, thank you.
Something that has been bothering me for a while is whether poisoning of OpenAI's dataset is possible, willingly or otherwise.

An example here is getting chatGPT to accept that that 2+2=5, it's a lot of effort, but can be done. Then the users can give thumbs up when such responses are given.

Could this cause issues?
That is extremely shortsighted as there are many people with various needs and disabilities who cannot get along normally without car.
An account of discussions on selective infanticide and assisted suicide (2003)
Speculation: GPT-turbo is a new chinchilla optimal model with the equivalent capabilities as GPT-3.5. So it's literally just smaller, faster and cheaper to run.

The reason I don't think it's just loss-leading is that they made it faster too. That heavily implies a smaller model.
I found this article's perspective really thought-provoking, and overall the piece has a lot of interesting philosophy wrapped in the narrative of Harriet McBryde Johnson's encounter with Peter Singer.

Post title edited from "Unspeakable Conversations" to be more clear. Let me know if the original was better - I just thought it was too vague for the guidelines.

Archive link: https://web.archive.org/web/20230216153704/https://www.nytim...
At the glacial pace classes move, there's plenty of time to learn einz, zwei, drei, vier, etc. Learning arithmetic doesn't require language fluency.

I've traveled in many countries where I didn't know a word of their language. It isn't hard to communicate with people for basic things. Besides, I often will spend a few minutes to learn the words for one...ten just so I can engage in commerce. It's not rocket science.
TIL. Ads I don't notice are OK with me.
Just in case someone is interested, I've written a simple fork-based module for processing jobs for Python: https://github.com/jeremysanders/forkqueue

This has the advantage of allowing work done inside a nested function, allowing large initial datasets to be shared and not have to be passed over pickle.
Can you explain what tokens are in this context?

Edit: and better yet, is there a good resource for learning the vernacular in general? Should I just read something like "Dive into Deep Learning"?
> Mandate that all gas/petrol stations have at least two working fast chargers (i.e. Level 3 800V) by 2030 in exchange for a gas station operating license/permit and check them monthly.

That will just result in fewer gas stations. Most of them are already not profitable, and similar mandates that forced gas stations to pay out of pocket for new pumps (ethanol, biogas) have forced a lot of them to shut down in some countries.
> These are massive functions with billions of parameters that evolved over millions of computing years.

This is a great way to put it!
The cake shop never refused service to anyone because of an inherent aspect of anyone (how would they know?).

They'd happily bake a birthday/retirement/graduation cake for a gay person.

They refused to use their own artistic talents to inscribe a message that they disagreed with. They refused to participate in the words, not the people.

Kind of like you might refuse to make a MAGA cake.
The repo was literally hosting assets and code ripped straight from the commercial release of Minecraft.

The author's current approach of publishing tools to extract the information from your own copy of Minecraft is totally fine and ought to have been the way to run this project from the beginning.

As precedent, I present every doom clone ever made.
Would multiplying the GPUs by 8 decrease another part of the equation by 1/8, i.e. X flops on 1 GPU = Y seconds, X flops on 8 GPUs = Y / 8?

(Btw I keep running into you or your content the past couple months, thanks for all you do and your well thought out contributions -@jpohhhh)
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ELI5 What is a token?

Is it a word, question, letter, what? If I ask a question like... What is the capital of Canada? And it responds with 'Ottawa', how many tokens have I used there and how are they calculated?
It does. Windows ships them as part of security updates, Linux distributions can use fwupd.
Miro app is something like OpenBoard[0] (which forked from Open-Sankoré 2.0, which was itself based on Uniboard) white board app.[1]

[0] https://github.com/OpenBoard-org/OpenBoard

[1] https://www.tecmint.com/linux-whiteboard-applications/
Unless you are doing Machine learning or using numpy, I do not recommend anyone use python for anything performance sensitive. The problem is not just GIL. Because multithreading is not so common in python, it’s really hard to know if some external library is threadsafe. Python also supports async but a lot of libraries do not have asyncio compatibility, so you need to mix threads with asyncio which leads to a big mess.
I've read about this app somewhere on the Internet. I love this app
Buffer bugs can and will happen.

Packets can and will be queued in multiple outgoing interfaces.

Dumb shit happens in network kit.

Also, the new SDN stuff sends packets multiple times over different paths on purpose. It's supposed to discard everything except the one that got there first, but...
Well ADHD is not a lack of attention but a lack of control over your attention. And yeah, when I was really obsessed with something, I would spend the entire day doing it, and then the rest of the days until it lost its charm or I finished whatever I had planned. I always binge YT, anime, movies, manga, books. It's very hard to pry yourself off of them once you start. Sometimes it's just easier to finish it, but just don't dare start anything else because then you're back at the start.
> The "intelligence" exhibited emergent from language itself, from the massive dataset it has trawled.

I concur. Intelligence does not come from the transformer architecture, or any specific of the model. It comes from the language corpus. Human intelligence too, except for physical stuff. All our advanced skills come from language.

You take 300GB of text and put it through a randomly initialised transformer and you get chatGPT. You immerse a baby in human language, it becomes a modern adult, with all our abilities. Without language, and that includes other humans and tech, we'd be just weaker apes.
Yes, publishing papers is good. Open source code can be based on methods described in papers. Like, most algorithms in sklearn for example.
There is work being done to address desktop linux, but I agree that is one of the deficiencies.

https://github.com/jsuarezruiz/maui-linux/pull/37

The lack of a WASM target is another, although UNO project in the past provided such a target for MAUI's very closely-related predecessor (Xamarin.Forms).

https://platform.uno/xamarin-forms/
Is fine-tuning of the gpt-3.5-turbo model expected to be available at some point? I have some applications that would greatly benefit from this, but only if fine tuning is available.
If hydrogen for cars is a pipedream then aviation will never be green, because that is the only viable option we have.
If we manage to greenify aviation, then there's nothing saying we cannot go one step further and start driving hydrogen fueled cars.
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