skysight-inc/HackerNews huggingface dataset:
Something else that frames this conversation well is to consider the experience for a non programmer, inspecting the AI results to some query. We view this all through very adept and skilled eyes that know how to code an how to read code. Imagine you don't know anything about programming...

* You don't know what a function is (or a method / class)

* You don't even understand variables, static types, bools/ints/strings

* You have no idea about an entry point such as main, how returns work

* You have no idea about OOO, organising code over multiple files

* You don't know what a socket is, you don't understand I/O, file handling

To top it all, code looks alien to you, you have no idea how to read it.

The only individuals who would be able to bridge the knowledge above, would likely become programmers anyhow.
My guess is 80% of developers think they're above average.
Unless I'm reading wrong, it looks like this new Uno will have a Cortex-M processor rather than an AVR
I'm all for Open Source. And Linux is a great example.

But look at what Open Source is turning into, it's being swallowed by corporations anyway. I guess I'm just not so positive, it's really hard to go against the grain and I think a world where corporations do open source is better than one where they don't. But Open Source has not changed the underlying structures of the world in any significant manner.

I mean, I think this is ultimately a political question, you don't really solve political questions with this kind of technology. We need better social and political technologies, much like when we went from having kings and feuds to having liberal democracies. I see that as a social technological advancement, what's next?

I recommend you read the book "Open Democracy" by Helene Landemore to get an idea of what I think maybe could be a good way of changing the political structures that are basically constraining us right now. And I do think Open Source plays a part in that.
Ahhh, at least Litestream seems to do this:

https://litestream.io/how-it-works/

Awesome. :)
You might be able to reduce lipoprotein count by increasing time between meals, allowing you to eat a high fat diet safely.
I would say self-help is quite unreliable already, more unreliable doesn’t make it much worse.

The authority argument is pointless. The therapist must value person’s wellbeing above their continued income for this to apply. In theory they should, but it would take a lot to convince me and I would want to know what’s the incentive behind such a recommendation. An to be clear, I’m not saying LLM can be your therapist.
How to Adjust Your Mirrors to Avoid Blind Spots (2010)
Eat less rice, maybe?

A lot of our problems with food begin and end with the idea that we need to eat ginormous quantities of it, when moderation would fuel us just as well.
You can also do this with potatoes. Repeated cooling/reheating is supposed to increase the RS levels, though I suppose to a limit. I imagine how effective this is varies with the individual, best way to tell how helpful this is for your particular situation would be to get a continuous blood glucose monitor since RS measurement is still not particularly easy to do or even standardized.
Except we have very powerful reasoning systems at the moment. Attaching a fully trained LLM on a speciality outputting in a structured form into a semantic reasoning system and feeding the results back through the LLM in a feedback cycle should control for hallucinations. It’s pretty clear though to all but the most cynical these LLM are producing amazing results regardless of whether “reasoning” is happening. The degree to which they produce insightful, cogent, and complex synthesis of concepts in a rational seeming form is startling.

I’d challenge anyone to demonstrate humans don’t “reason” in a similar way. Are we really anything more than expectation engines powered by gradient descent expectation juice? How come our reasoning fails so often and we have to be taught logic through reinforcement learning? Why do we fall for fallacies so easily when we “know” about them and can “reason” so well? I will wager $5 that as we build ensemble models that can leverage the reasoning AI tech of the last 80 years in a feedback cycle with LLMs and other generative AI models we will be staring at intelligence that far surpasses our own, and perhaps be so alien we can’t recognize it because it actually is backed by reasoning - unlike ours.
Another good example: apparently it took 10 days of wearing upside-down goggles for a researcher to see things normally.

https://en.wikipedia.org/wiki/Upside_down_goggles

https://www.theguardian.com/education/2012/nov/12/improbable...
GPT 4 was evaluated on multiple reasoning benchmarks in the release paper.[1] The problems in TPTP are not really appropriate for a language model and exceed the capabilities of most humans working without tools. Clearly humans have some reasoning ability even if they cannot solve those problems.

[1] https://openai.com/research/gpt-4
Just because someone is using your work without compensation or attribution does not mean that everyone should settle for that. in the true spirit of open source you should sue every last one of them and then hand the money you win off to open source projects.
Famous quote: "Wouldn't it be nice if our machines were smart enough to allow programming in natural language?". Well, natural languages are most suitable for their original purposes, viz. to be ambiguous in, to tell jokes in and to make love in, but most unsuitable for any form of even mildly sophisticated precision. And if you don't believe that, either try to read a modern legal document and you will immediately see how the need for precision has created a most unnatural language, called "legalese", or try to read one of Euclid's original verbal proofs (preferably in Greek). That should cure you, and should make you realize that formalisms have not been introduced to make things difficult, but to make things possible. And if, after that, you still believe that we express ourselves most easily in our native tongues, you will be sentenced to the reading of five student essays.
- Dijkstra From EWD952

https://www.cs.utexas.edu/~EWD/transcriptions/EWD09xx/EWD952...
Plus rice pudding can make a great breakfast.
> Nor have I seen much evidence that most other banks have significantly less liquidity risk than SVB did.

In traditional banking, rising interest rates are a good thing because it means that banks in turn get to underwrite loans at higher interest rates, which positively affects their bottom line. SVB's problems were twofold: A) they had a one-dimensional investment strategy that was adversely affected by rising rates, and B) outstanding loans made up a very small portion of their business relative to their size, which made it so that they weren't able to capture meaningful value from rising interest rates. The latter is actually pretty rare for a bank, which shows how uninterested they were in actually functioning like one.
Break up your deposit into 250k$ accounts, each insured by FDIC. Let software handle the logistics of payments via multiple bank accounts.

Asking depositors to do the due deligence is a strawman.
YC Founders Video timing constraints
I made a video that's 1 min 13 second. The form asks to make 1 min long video. Is that a hard deadline or is my current video fine?
Definitely not that atypical. Go read about Fischer v. Spassky, for instance.
But bias has a negative impact too.

It’s not unusual for clinicians to interpret differently based on patient history and other risk factors.

The same CT scan is going to be interpreted very differently for a patient with no history of cancer versus one who went into remission 1 year ago.
Isn't that already well known for potatoes?

It's well researched and have even been popularized and mentioned in every major diet source for decades: potatoes boiled and cook-off increases the RS levels and decreases G.I. and insulin spikes majorly.

Shouldn't need a whole team to develop this for rice as a "new way" with huge effort. Just trying it and measuring the results would be enough.
i'm guessing the parent comment is in reference to this link from yesterday: https://news.ycombinator.com/item?id=35308498
why is chess separated by gender?

we don't separate by gender other intellectual pursuits, e.g. best author, best director, jeopardy winner, etc.

[edit]
Just checked Wikipedia, and it turns out Chess mostly isn't separate by gender so I stand corrected:

The majority of chess tournaments are open to all participants regardless of gender. Very few, if any, international tournaments are restricted to men, but a few are restricted to women, most prominently the Women's World Chess Championship and the Women's Chess Olympiad.
There’s also a parameter you can set called “temperature”. This is how you control the free-form aspect of the model. Set it close to 1 and it will bullshit a lot, or rather it will take bigger chances in filling in outside of context and maybe a bit more hyperactive. A value closer to 0 keeps it tight by taking less risk off the context, but can also miss out a bit and loses color.
Science fiction and science reality in computing
Great. But without a license to practice, a concept of truth and a confidence score to go with the output I don't think it should be making any such statements at all.
>It just raises the bar so that 3D artists who are only capable of reproducing the same boring things they saw in YouTube tutorials are no longer considered proficient.

That is of course, until GPT-6 surpasses them.
Copilot has an option (maybe beta users only) to see alternative generations for a prompt. It's really handy because some generations are one-liners while others are entire functions.

Perhaps this is infeasible with the current cost per generation but a multiple choice display could be handy (perhaps split the screen into quadrants and pick the one that most fits what you prefer).
Performance in a simulator is cycle accurate to the real world.
Assuming this requires a premium subscription to chatgpt, this might actually push me to sign up.

Never thought I'd see the day I'd pay OpenAI a cent given that I don't really agree with their level of "open"ness.
> SVB also chose not to prioritize hiring a risk manager for months leading up to their collapse

Closer to a year, I believe. On the back of lobbying for exemptions from Basel III adequacy requirements.
>I don't think this is "terrifying" to 3D artists any more than github copilot is terrying to us haha

It sounds more like you're just seriously underestimating the direction GitHub Copilot is headed.
I want to be clear, i've hired several engineers who don't know how computers actually work. It's fine, there are certain optimization tasks I would probably assign to someone else maybe to pair with the less educated engineer, but other than that the code they are working on is so absurdly abstracted from the metal it really doesn't matter that much.
I am curious if this could be a way to increase the proportional nutrient content of rice, or if nutrient content will also be affected by an increase of RS.

Because of rising CO2 levels in our atmosphere crops are going to become more starchy and contain proportionally less nutrients as a result [1]. We’re either going to need to find ways to increase nutrient intake or reduce the starchyness of the food we eat.

[1] https://www.npr.org/sections/thesalt/2018/06/19/616098095/as...
I probably should have said hardware bugs, as only one is in an IC (specifically an IP block). It manifests as small (but out of spec) timing errors across a network. The rest are things like improper layout, faulty components, wrong value passives, etc.
great example of the versatility of the human mind.

i was about to pipe the entire article into ChatGPT. exactly like the other comment. but i realized it had screenshots of tweets and instagram posts. people do this in case the original authors changed their mind.

ChatGPT can't take images as input (afaik). for a human mind, the text in these screenshots are part of what the article is trying to say.

the medium is changing mid-article, but the story is the same. it could have been a video, a voice recording. a human mind would extract their content and incorporate it back into the main story the article is telling.
oh now companies can talk too?

i think it was nvidia's ceo who said like a year ago (maybe more) that eth would be worth 8k usd soon... but agreed, not saying anything about its 'usefulness'

THE US DOLLAR ADDS NOTHING USEFUL TO SOCIETY. how about that?
Yep, brown paper bags is usually what we used. Sometimes we'd use gift wrapping paper though if there was any laying around. That was a bit less durable, but it looked nicer so I guess I was probably gentler with those books.
Nutrition researchers hate this one simple trick.
If you watch the video (I recommend at 0.5x speed) the author adds "you feel me?" to one of the prompts and I laughed.
It's solvency risk, not liquidity risk. When interest rates are 4%, having $1000 ten years from now means I have 1000/1.04^10 = $676 now. If my current liabilities exceed that, I'm insolvent, not illiquid.

Liquidity is about bid/ask spreads, disorderly markets in which the price becomes temporarily irrational. The SVB's problem was simply the time value of money, that the liquid and economically rational price of their long-term bond-like assets is lower than they wished it would be.

This paper estimates that 190/4800 ~ 4% of banks would have deposits at risk if half of uninsured deposits were withdrawn. That means 96% of banks wouldn't. The SVB's situation wasn't completely unique, but it's far from the norm.

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4387676
Since when does a fang interviewer allow you to google their leet code hard problems?

Everyone would pass if that were the case.
I don't think your second list item here is true, or uniquely true of GPT/LLMs anyway, so I'm not sure we're any further along than we were in 2019 for this specific problem.
Solving exercises have never been a practical problem. The solution is already known by the one asking the question, the only point is training and skill assessment.

The point of solving these exercises is for you to train yourself in manipulating functions, maybe so that you can later do it in more complex and novel situations where neither ChatGPT nor WolframAlpha will find the solution for you (or worse, give you a wrong answer). It doesn't mean they are useless tools, actual scientists and engineers use them, but because they actually solved the exercises when they learned to do maths, they are able to recognize when they fail and adjust their queries to have they do what they need.

And while the "you won't always have a calculator with you" is mostly wrong nowadays. And it also was before smartphones since pocket calculators were extremely cheap and small so you could always have one on you if you wanted to, and they were actually more reliable than smartphones. What is important is not to put your entire trust into the calculator. You have to recognize that if you calculator tells you that $42 + 10% is $63, you messed up somewhere. It is the same with ChatGPT, it can help you, but if you don't know your subject, you won't be able to differentiate between helpful answers and hallucinations, making it worse than useless.
This is good to see. I spent a couple weekends playing with ChatGPT and I found it is very sensitive to wording. One word gets you a lecture that it is just AI language model and can't do this or that, use an synonym and it happily spews pages of results. In another situation I asked chatgpt to summarize information from an article it cited that had been deleted - and it refused because the rights holder might have deleted the article for a reason. I told it the article had been restored by the author and it produced a summary. Mentioning Donald Trump by name often gets you lectured about controversial subjects, "45th president" does not. And so on.
Boiled, fried, in sweets, etc, rice is like 1/4th of what billions eat every day the way westerners eat bread or potatoes... You know, in Asia and everything...
I think that train already sailed.

With HDD or SDD that might've been feasible but with NVMe you really want as little between raw storage and game engine.
False uniqueness effect? https://en.m.wikipedia.org/wiki/False-uniqueness_effect
Has anyone ever burned that much money that fast before without producing something physical?

It’s been 150 days since the acquisition closed. That means Twitter lost over $133 million a day.
It is, and it is not. There are tournaments specifically for women, but there are also loads of tournaments that are "open" and it doesn't matter if you're a man or a woman. For example: The World Chess Open
I'm a native English speaker in the US and I've been spelling turmeric incorrectly for decades.

When I noticed that first 'r' I questioned everything I thought I knew about the universe...
I'm just thinking of that reddit post about the 3d artist who is demoralized about his small indie company and him being reduced to just inputting prompts all day. Now its spreading to the animators and Explosion/CreatureEffects artists.

Studios like Wetta Digital / DoubleNegative etc.. are gonna pounce on this
well, gpt told me that crypto usage would most likely keep increasing in the future XD

just ask it ;)
The biggest effort when I write code is to make it readable for other developers. The day where non tech people start using AI to produce non critical software and start interacting with code as a black box, simply telling the AI what they want and pointing the edge cases to correct, how much simpler development will become for AIs?
From the real education with courses on compilers, operating systems and databases, not 3 month bootcamps on HTML and JavaScript.
>that is trying to convince people that AGI is a) just around the corner, and b) going to wipe out humanity, and is thus calling for drastic measures in reaction to that perceived threat.

But those are all likely true statements.
> the same ussr that gave national autonomy rights to almost every ethnic group within its borders

Yeah... no. https://en.wikipedia.org/wiki/Russification
That's just the sort of stuff I see, but long tail issues that take weeks or months to diagnose can happen anywhere in the stack. Sometimes it's a hardware issue, sometimes it's a compiler bug, sometimes a VM bug, a missing browser feature, etc. Any of that can crop up even with "trivial" changes. I'd argue that it's not useful to include that in your estimates, but they're nevertheless possible and need to be incorporated in scheduling.
Before AI can take my job, AI can be my tool. I can become more productive with AI, many times more productive than now. Then the question will not be "is AI better than credit_guy?" but "is AI alone better than credit_guy who uses AI?". If I learn how to take full advantage of AI, I have a fighting chance.
>reign vs. sovereign

this is actually explained by something called the Indo-European ablaut, or as the Indians who original came up with this call it, Guna and Vrddhi. Basically, there is a set of vowel grades in the IE languages: a -> (long) a -> (long) a; i -> e -> ai; u -> o -> au; (vowel) r -> ar -> (long) ar. The reason for the ablaut changes are fairly complex, but notice how in your example reign has the "e" as in pain, whereas "sovreign" has the "i" as in "bit", reign is actually the "guna" or first grade of the ablaut. English spelling doesn't generally represent these changes, nor does it have to, because people are aware of the sequence without knowing it, and those sound changes do not sound strange or out of place for them.

>scholars presuming the etymologies are linked and adjusting their spelling to reflect that

English actually has no official spelling for any words, its just that the King James bible was the first widely distributed printed book that people were able to read in the English speaking world, so people adopted the spellings for words in that book. Its quite arbitrary, which makes the elegance of the spelling system even better--the fact that no one got involved meant that we were able to create this beautifully complex system that could represent nearly an infinite number of sounds, because nobody tried to "standardize" and phoneticize English spelling.
I find it rather puzzling why people seggregate genders even though the idea is to make society more equal? Wouldn't it be much more beneficial for women and men to share the same room so to say.
It's a common thought but from what I can tell it's probably not true. Natural gas is simply the cheapest and most scaled way of producing ammonia (which is the critical ingredient in fertilizer production). Apparently electrolysis could come within a factor of 2 in terms of price.

Also worth considering that passenger aviation is on the same order of magnitude in terms of CO2 emissions. Remarkable given everyone has to eat.

https://ourworldindata.org/emissions-by-sector
The real test is the other way around ;) ... will smaller models / less compute be able to subvert larger models with larger compute ? As they get more complex and have more connected systems that would be problematic I think.
> In China all knowledge is in fact a big open source scheme.

This is not strictly true. Witness anyone trying to get a Chinese company to produce GPL source code or contribute back. Open source is something to be taken for free and we don't need to worry about silly obligations, moral or otherwise.

I think a more accurate statement is "patents and copyrights do not functionally exist in China" so open source is synonymous with "public domain". Some try to protect their work through encryption or DRM, to give them a head start on the clones that will inevitably follow but that's not the same thing at all.
the power bill wasnt the worst. it was the constant screeching from the fans. I had them in a closed basement room but the noise penetrated the rest of the house.

Its bad enough with 12 drives spinning + the fans in the 2u enclosure. Sometimes I want to just throw it all away.
In the past, when tools that significantly increased developer productivity emerged, like higher level languages (C, Java, Python), better IDEs, or better access to help (e.g. StackOverflow), the demand for more software has outpaced any decrease in demand for developers due to productivity improvements.

I'm not saying I know that's going to continue forever, but it might. If the cost to produce software goes down, the demand for software will increase. That's what has always happened, but maybe this time is different.

Everyone always thinks this time is different though, it's good to be skeptical of thoughts like that.

My take is that if you stay on the cutting edge and get good at using all kinds of tools with max productivity, you'll probably end up as the tractor driver rather than as an unemployed ox.
when something is dominated massively by one gender, it becomes unwelcoming to the other.

Women's chess tournaments are to encourage more women to get into chess.
You have to follow Marcel Weiher's work on combinators aka connectors.

The following article references his work on in-process rest, polymorphic identifiers, and storage combinators.

What Alan Kay Got Wrong About Objects

https://blog.metaobject.com/2019/11/what-alan-kay-got-wrong-...

Here's an ACM SIGPLAN talk he gave on storage combinators...

Storage Combinators @ SPLASH'19

https://www.youtube.com/watch?v=6FFlmkFS1YY

The ACM SIGPLAN talk is a very good starting place to get an understanding what he is talking about.
And brain surgery is just cutting someone's head open with a scalpel. Programming languages are stupidly information dense. I'm highly skeptical an AI will be useful for non-trivial boiler plate any time soon, they lack the reasoning powers to get the details right even occasionally for common tasks and basically never for uncommon ones.
Honestly, regardless of the reasons, this looks like high school drama to me.