skysight-inc/HackerNews huggingface dataset:
I understand what you are saying.

My only comment on that matter would be that one need not reside in any particular location to work for the CCP, they have workers all over the world, from many different backgrounds. I wasn’t implying that he/she was of any particular ethnicity, race, or nationality - not have I denigrated such. To further that point, I then asked where they were from to gain perspective on their comments, there was nothing insulting meant in my asking. (I actually meant to go back and change the accusation of working for CCP comment, and overlooked it.) However, it did seem like they were a new account, with comments not made in good faith (imo), and they were pushing a distinct CCP narrative that I see often in my research in this topic.

Thank you for taking a balanced hand to moderation here. I understand it can’t be easy.
> A modern debt jubilee would hurt me more than nearly anyone else on this site, in relative terms and in the short run.

It wouldn't hurt you, it just wouldn't help. You wouldn't be hurting. I think that is a distinction. You don't get the help, because you don't need it. They do say "Fair isn't everyone gets the same thing, fair is where everyone gets what they need."
Probably because people view the cloud as their data in someone else's hands, but AI companies view data as fair game for ingestion, since "they just learn like humans, and you allow humans to view your data, right?".
Curious what arguments you find strong or predictions you’ve seen validated. It seems like MMT is whatever Stephanie Kelton hops on a podcast and says it is that day. Feels like more of a political movement than an economic theory with models and such.
I've been thinking about this for a year or so. I currently have 7 Pis (5 Pi0ws and 2 Pi3s) running various projects at home. I started collecting them on Pi day each year, and any time I want to try something new I just grab a new one and go. A few weeks ago I took one on a plane and installed Pi OS on a 0w using the plane's wifi, then SSHed to the pi over USB and played with it that way. At home they're hanging off various UPS and power outlets, I once forgot about one powered by my basement router and I didn't notice for two years. It was still happily serving an old version of my cookbook.

Yeah, there's things I want to move to more powerful hardware. But it's a step up: it's more expensive, more setup, a more persistent system (even if everything's in containers). I wouldn't steer people away from using Pis based on that tradeoff, they still have a high ceiling for what they can do and when you do bump into that ceiling it's much easier to justify spending 10-100x for the right hardware. It took me 7 years of tinkering to hit that ceiling with my projects, I don't regret staying on Pis for so long.
They have a limited trial or company memberships afaik.

It costs 10$/month 100$/year for individual users.
Microsoft Loop run Public Preview
Yeah! To hell with how other people feel! /sarcasm

Good grief, most people simply don't act like this. Nor should they. Think about that.
Real estate investors and even regular old homeowners have always looked liked geniuses for exactly this reason. When the dollar loses value every year, loans are cheap, mortgages are subsidized and largely purchased by the government, and the supply of new housing is constrained, the absolute smartest investment to make is in real estate.
Honestly I'm at the point now where I'm considering moving on from software as a career. I've kinda got what I wanted out of it anyway and most of it is snakeoil anyway. I just need to find a way to meet my basic living expenses with minimal work.
I know better than scientists have time and again made mistakes, and claimed something with certainty, even though it was wrong, despite, you know "actually working with the data and not just reading about it on the Internet".

I also know that scientists have a bias to show impressive results, and that even NASA among others, in a similar case was all too fast to jump to conclusions and make a whole show about their 'findings' and annoucements to the press, and they still got it comically wrong, despite "actually working with the data and not just reading about it on the Internet.".

Finally, I know that "we found RNA building blocks and B3" on a meteorite is less likely that contamination, so the story seems fishy and premature.

Sorry that somebody even doubted than an announcement or a paper can ever be likely wrong without being on the team who wrote it.

Now how about some apologies for your tone?
I'm curious on this as well - although a VR headset at this point feels like a foul ball straight backwards and into the net.

Apple is good at a lot of things but it is AWFUL at AI. Siri is still the worst experience you can have with a language model. That said, all they need to do is integrate some OpenAI API's. In which case, Microsoft STILL wins because of its investment there and where OpenAI's enormous compute happens - which is likely in Azure.
Yes this is what my banker friend told me when he bought his house last year. The inflation will be a much greater discount to any premium he paid over asking.
> Its an interesting trade off. I'd argue that if you don't plan to road trip your car, and have home charging, an EV is actually far safer in terms of crime, since you never need to go to a gas station.

Only for people living in Suburbia.

Not sure about the percentage of people owning a car and a garage / or at least private parking space close to a private outlet in the USA, but here in europe this is still a huge limiter for EV. If I need to charge my vehicule in only a handful of the available parking spaces with charging station available in my neighborhood, the EV proposal becomes substancially less attractive, both in term of practicability and financially.
You can get a tax deduction for depreciation but it’s clawed-backed when you sell at market rate.

If you take $100,000 depreciation and sell, the $100,000 is knocked off the basis when calculating capita gains.
Clearly we're talking past one another. There's no blame. The fact that women would have designed this system significantly differently to account for our specific needs is not blaming men for not doing that. But then you have to be willing to say, "yeah, the product as it currently exists is expected to be unpopular with women and we're fine with that right now."

Like it's not hard too imagine a world where the rollout was to partner with gas stations and 24 hour convenience stores/restaurants where there are lights, people, and cameras.
Packaging would be simpler, but you probably have to update the whole OS and all your installed apps when a security update for a common library is released.
I'm not saying it won't happen but people have been saying exactly this for a decade.
“Inflation is always and everywhere a monetary phenomenon.” -Milton Friedman

This is a pretty exhaustive text on why this is the case, I found it quite convincing:

"The inflation economy" https://graymirror.substack.com/p/the-inflation-economy

His last two articles are similar and are about the architecture of the financial system and the role the Fed plays in it, this might interest you as well.

"The golden age of informal securities" https://graymirror.substack.com/p/the-golden-age-of-informal-securities

"Bitvana or the bitcaust" https://graymirror.substack.com/p/bitvana-or-the-bitcaust
So I would only get a mortgage when the king is young? I assume interest rates would go up with the age of the king?
I think it's employers playing the game and optimizing.

Full-time employees are salaried. They cost the same no matter how much work they do. So full-time employers want them to do as much work as possible. They view time as zero-sum, so any hours you spend on another job are hours you could have spent on them. Even if - as we all know - there are diminishing returns on hours and those hours at job 2 would not produce the same output if pumped into job 1.

So, as always, full-time employers resort to soft power and psychological tricks to exert control over salaried employees. And I'd say it's increasing lately because remote work as shifted the power imbalance and employers are realizing the other side of at-will, salaried employment is that employees can work as little for them as they can get away with so long as they are good enough to remain willfully employed.
> ChatGPT produces some shockingly good text, but the rate of hallucinations and its inability to reliably reason about either correct or incorrect statements would be enough to mark a human as untrustworthy.

It's not even the rate, which is troubling enough. It's the kinds of things it gets wrong too. For instance, you can say to ChatGPT, "Tell me about X" where X is something you made up. Then it will say "I don't know anything about X, why don't you tell me about it?" So you proceed to tell it about X, and eventually you ask "Tell me about X" and it will summarize what you've said.

Here's where it gets strange. Now you start telling it more things about X, and it will start telling you that you're wrong. It didn't know anything about X before, now all of a sudden it's an authority on X, willing to correct actual an actual authority after knowing just a couple things.

It will even assert its authority and expertise: as "As a language model, I must clarify that this statement is not entirely accurate". The "clarification" that followed was another lie and a non sequitur. Such clarity.

What does ChatGPT mean by "As a language model, I must clarify". Why must it clarify? Why does its identity as "a language model" give it this imperative?

Well, in actuality it doesn't, it's just saying things. But to the listener, it does. Language Models are currently being sold as passing the bar, passing medical exams, passing the SAT. They are being sold to us as experts before they've even established themselves. And now these so called experts are correcting humans about something it literally said it has no knowledge.

If a 4-year old came up to you and said "As a four year old, I must clarify that this statement is not entirely accurate", you would dismiss them out of hand, because you know they just make shit up all the time. But not the language model that can pass the Bar, SAT, GRE, and MCATS?. Can you do that? No? Then why are you going to doubt the language model when it's trying to clear things up.

Language models are going to be a boon for experts. I can spot the nonsense and correct in real time. For non experts, they when LLMs work they will work great, and when they don't you'll be left holding the bag when you act on its wrong information.
That is a significant part of it, but there's more to the problem.

Consider the simple task of looking up the definition of a word that you've been pondering. In pre-internet times, you'd physically have to move your body toward a specific room and seek a specific book. There may be a carnival, but even if you look that way and get distracted, you can reorient yourself and refocus on your goal by simply assessing your physical positioning and posture in space. "Ah yes, I am standing in this hallway facing east because that's where the library is."

On your phone, you pull it out of your pocket and unlock it. Probably the unlocking is not distracting on its own, but it's also quite possible that you've got some "useful" information on your lockscreen which can distract you immediately. Bad start, but let's pretend it doesn't happen.

Ok, now you're on your phone. There's a bunch of different apps, many of them actively trying to capture your attention - carnival-goers calling out to you to look at their show. Alright, distraction achieved - now tear yourself away and get back to your task. What was that task again? You see a bunch of apps, and you're curious about what's in them. And it would only take seconds to get a little bit of value from any of them - news, uplifting stories, comedy, whatever. Can context help? You're in the same place physically and emotionally that you are for most of your life, on your couch (or maybe in front of your actual computer). Nothing is different from the times when you are actually intentionally opening those apps. Oh well, it will come to you, just pass some time at the carnival...
It seems it gets stuck in pseudo infinite loops sometimes.

Can you provide a step by step guide on how to get dressed for a five years old?

1. Start by putting on underwear and socks.

2. Put on a t-shirt.

3. Put on pants or shorts.

4. Put on shoes or sandals.

5. Put on a jacket or sweater.

6. Put on a hat or scarf.

7. Put on gloves or mittens.

8. Put on a coat.

9. Put on a hat or scarf.

10. Put on shoes or sandals.

11. Put on a jacket or sweater.

12. Put on a hat or scarf.

13. Put on gloves or mittens.

14. Put on a hat or scarf.

15. Put on shoes or sandals.

16. Put on a jacket or sweater.

17. Put on a hat or scarf.

18. Put on gloves or mittens.

19. Put on a hat or scarf.

20. Put on shoes or sandals.

21. Put on a jacket or sweater.

22. Put on a hat or scarf.

...
Pair programming is quite rare in most orgs. Most code is discussed async after its been written. A take home test where you modify some existing code based on new business requirements would be far more similar to the real job. LIVE Discussion about the requirements before or code after would also be similar.
Not AI’s pets, but oligarch’s pets
AI will learn to fly an airplane from scratch. And humans will sit in it.
I'm happy with the software I use and I don't frequently have complaints

Said no programmer ever.
>What? Tucker Carlson said something sensible and actually correct for once in his life?

No, unless you agree with what he said.
Maybe it's time to start differentiating between artificial intelligence and artificial consciousness? Surely I can't be the first one to think of this...
class loaders in java are jvm's dynamic linker/loaders, wouldn't you say?
Most of us are laymen to the subject. Please people, feel free to continue regurgitating concise and understandable information.
An AI tool that automatically animates CG characters into a live-action scene
I don't know, back in 2016 I left my job indefinitely with no plans and after about 4 months I got pretty bored. I could have lived without a paycheck for a bit, but something in the back of my head was telling me to get back on the horse.

I think some people are naturally self starters and can thrive in the self employment space, and some people like to have the structure taken care of by someone else. There shouldn't be any judgement on someone that might miss something about full time work, there are some great benefits.
This becoming the top thread here might get their attention. You have a very good point.
That's a great question -- I'd really love to get this in the hands of people doing good and necessary work on shoe-string budgets. Non-profits, university researchers, climate modeling, etc.

If you're in one of those areas, I have a Slack[1] that you can join to get help or ask questions. You can also just email me if you'd like at nate[at]moonshinelabs.ai and I'd love to talk!

[1] https://join.slack.com/t/moonshinecommunity/shared_invite/zt...
In Evangelion the voting system is the same as Triple modular redundancy [1]

[1] https://en.m.wikipedia.org/wiki/Triple_modular_redundancy
Why the down votes? lol.
Funny, and weak, how so many here won’t engage when they disagree.

Oh well, haters guys hate, you defend Amzn and they cry.
Some maintainers are holding users hostage to favor their preferred formats
ACM awards are dominated by the theory community. A lot of theoreticians with NO impact on the world have awards. Metcalfe was one of a dozen people who co-invented Ethernet and does not fit the historians "Great man" theory where history is decided by a few "Great Men" who went a different direction at a critical moment ... Ethernet's success is only 25% due to him.

For example, in 1979 at UIUC a grad student built 230kbps S-100 cards using rs232 chips and I wrote the Z-80 csma/cd drivers (as a high school student) so it was not rocket science.

So there was reluctance to give him an award for something he didn't pioneer all alone.
If there is no more demand for developers for the kind of projects that most work on today, what do you think will be the next area that they'll all try to get into?

Automating all the other stuff that's left on the table.
Money buys convenience and it’s damn good to be convenient and free from financial worries (which brings a lot of stress and anxiety).

However, I doubt that money actually buys happiness. You can draw up a long list of centi millionaires and billionaires who offed themselves…
> With no real knowledge of LLM and only recently started to understand what LLM terms mean, such as 'model, inference, LLM model, intruction set, fine tuning' whatelse do you think is required to make a took like yours?

This was mee a few weeks ago. I got interested in all this when FlexGen (https://github.com/FMInference/FlexGen) was announced, which allowed to run inference using OPT model on consumer hardware. I'm an avid user of Stable Diffusion, and I wanted to see if I can have an SD equivalent of ChatGPT.

Not understanding the details of hyperparameters or terminology, I basically asked ChatGPT to explain to me what these things are:

Explain to someone who is a software engineer with limited knowledge of ML terms or linear algebra, what is "feed forward" and "self-attention" in the context of ML and large language models. Provide examples when possible.

I did the same with all the other terms I didn't understand, like "ADAM optimizer", "gradient", etc. I relied on it very heavily and cross-referenced the answers.

Looking at other people's code and just tinkering with things on my own really helped.

Through the FlexGen discord I've discovered https://github.com/oobabooga/text-generation-webui where I spent days just playing around with models. This got me into the huggingface ecosystem -- their transformers library is an easy way to get started. I joined a few other discords, like LLaMA Unofficial, RWKV, Eleuther AI, Together, Hivemind and Petals.

I bookmarked a bunch of resources but it's very sporadic. Here are some:

- https://github.com/zphang/minimal-llama/#peft-fine-tuning-wi...

- https://github.com/togethercomputer/OpenChatKit

- https://www.cstroik.com/index.php/2023/02/18/finetuning-an-a...

- https://github.com/huggingface/peft

- https://github.com/kingoflolz/mesh-transformer-jax/blob/mast...

- https://github.com/oobabooga/text-generation-webui

- https://github.com/hizkifw/WebChatRWKVstic

- https://github.com/ggerganov/whisper.cpp

- https://github.com/qwopqwop200/GPTQ-for-LLaMa

- https://github.com/oobabooga/text-generation-webui/issues/14...

- https://github.com/bigscience-workshop/petals

- https://github.com/alpa-projects/alpa
On a high level, this story looks similar to CFC: when environmental issues arise, deny and defend profits. [0]

[0]: https://en.wikipedia.org/wiki/Robert_Bilott#Initial_actions_...
He is also the arrogant ignorant engineer who bought and ruined Infoworld.
I think this is slightly misguided, the cost of shipping was what exploded (see link below). It wasn't really a capital destruction as much as logistical issues/spill over from coronavirus.

https://www.freightos.com/freight-resources/coronavirus-upda...

I've seen so much discussion and threads being overly reductive about inflation, essentially the end prices of goods are a function of their inputs and the competition for those goods. It's important to understand that you have many non-linear effects overlapping to create the final goods price. For example, chip shortages meant inspite thousands of physical cars being finished, they couldn't be shipped for lacking a few components. There's nothing more money can do about that. But cars are essential, so the price of used cars exploded in response.

This is just one example of hundreds of different, overlapping issues that coronavirus brought to the supply side picture. At this point in the picture, much of the service side of the economy was physically shut e.g. you couldn't go to bars. Revenge travel, eating out etc. created a crowding out effect and drove prices higher there when they did open.

The billion dollar question is whether or not we continue to see this crowding / revenge effect or in fact people just have more money than you think and are simply spending it. There's mountains of data on both sides of this debate, if you look at consumer credit it seems to be increasing (people can't afford?), but savings rates also remain stubbornly high (but have money?). In spite of price increases, consumer demand remains very high (look at retail sales) and employment makes new record highs and JOLTS continues to be through the roof.

It's not a simple puzzle as many people seem to suggest.
Prompt-to-Voice: create a new voice with Generative AI
Prompt-to-voice creates a new, unique voice given a text prompt. Similar to stable diffusion, but for voices. Then those voices can generate speech via TTS.
They’re strategically exceptional, but beyond that a lot of their products (or subsidiaries) are also dominant for good reason (vscode, GitHub).

O365 and the product integration there (teams) is why they crushed slack despite slack’s headstart. Slack sold out to languish at salesforce while Microsoft will now just own that space.

Cherry picking a Microsoft app for macOS is like looking at iTunes on windows, it’s not really representative. Even Windows itself isn’t that important (that was one of the big strategic changes after Ballmer left and Nadella took over). You’re right about edge though (which is why Microsoft abandoned it for WebKit).

Microsoft also ships (something Google can’t do very well). I think their current trajectory is probably undervalued because people have not properly updated from outdated historical sentiment.
Climate change: Can we take CO2 back out the air?
> We deployed over 1k RasPi's for a particular customer

Is that the proper tool for the job?? I just read an article saying "Unpopular Opinion: Don't Use a Raspberry Pi for That" (https://news.ycombinator.com/item?id=35260322)
Europe's unique trials in food 'social security'
That doesnt make sense... interest rates have been low for a decade. Why would falling prices be predicted?
DNA from Beethoven’s Hair Unlocks Medical and Family Secrets
Spot on. Microsoft are a joke when they're losing and a joke when they're winning. I'm old enough to have seen the full circle and I'm super curious to see what happens when M$ is back on top.
Agree with the sentiment, not sure about the timing.

Apartment REITs are already 30%ish below their 52w highs https://www.google.com/finance/quote/RESI:NYSEARCA?window=1Y... so it seems like the market has anticipated that move and priced their yields in line with risk-free interest one can get on Treasuries.
> 2017 home prices are unsustainable!

> 2019 it has to crash sometime

> 2022 ok now is the time for home prices to call

> 2027 it must crash!

The reality is that home prices are buoyed by a number of systemic factors that cause supply to be constrained. Prices will go down in total value due to interest rate rises. Homes will not be more affordable.
It just hasn't been prompted or fine-tuned to have the neutral, self effacing personality of ChatGPT.

It's doing the pure, "try to guess the most likely next token" task on which they were both trained (https://heartbeat.comet.ml/causal-language-modeling-with-gpt...).

ChatGPT is further trained with reinforcement from human feedback to make them more tool-like (https://arxiv.org/abs/2204.05862 & https://openai.com/blog/chatgpt & https://arxiv.org/abs/2203.02155),

with a bit of randomness added for variety's sake (https://huggingface.co/blo1g/how-to-generate).
Pretty sure there will be a cost to those people eventually for believing lies. Over time, evolution will take care of it.

By which I don’t just mean survival of the fittest people / brains, but also survival of better memes (in the Dawkins sense of the word) and better approaches for bullshit detection, and diminishing of worse approaches.