skysight-inc/HackerNews huggingface dataset:
I'm curious about how large language models will do in finance, considering the one thing LLMs do remarkably poorly is math.

I use ChatGPT to keep track of tasks and Todo lists. It works phenomenally well for me, and the natural language back-and-forth helps keep me motivated. I give it a set of tasks, with time estimates, and it organizes these tasks for me, and I tell it when I complete them, and it updates my task list.

The one funny mistake it makes is that when it groups my tasks (say I have 3 "Work" tasks and 2 "Personal" tasks") it sums up the total estimated time for each task group, but the totals are often wrong, especially when I start adding new tasks or completing tasks.

When so much of finance requires numeric accuracy, I'm curious how BloombergGPT handles numbers.
Just some pretext, I am quite experienced in LabView.

One of the major issues with visual languages is not being able to find the right chunk. Yes there is a search feature, but if you don't know the right word to search you are doomed. In my time as a undergrad research assistant I was pumping out complex LabView code and VI's to control whole experiments. But I still would run into problems where I couldnt for the life of me find the block I needed. The most visceral of these was converting something like a double to single or vice versa. I went hunting for the correct block to do the conversion, which would take barely a line of code to do in C++ (the language I knew at the time), and it wasn't in the 'convert' subset of blocks.. I had this vast code that worked, but I couldn't get the last part of the data path completed because this missing stupid block that converts... Took me like an hour to eventually find it after trying everything including Google and NI's documents...

So stuff like that would be the main reason I think they never took off. If you have to hunt and peck trying to find the right box, instead of innately knowing the syntax to do something like converting. Well it just isnt practical, it's easier to lookup in a reference text for the language than to hunt in NI's closed garden crazy house.

That all said and done, LabView had some of the best Connectivity to lab hardware. Over a decade ago you could connect 2-5 devices from 1985-2000 through GPIB, and into your code assuming you had VI's (sometimes you have to make them yourself). It's hard to state how amazing that was, being Able to automate the control and data acquisition of hardware made during the infancy of the internet for research. It also made you quite valuable in your PI's eyes. So unlike most people I know from that era of my STEM career, I was one of the ones that said 'yeah I hate LabView .. . But man is it good at what it does." ... From conversation with grad students these days, it sounds like the libraries in python caught up on that front.
> They're often the ones holding the gun.

Apple customers historically are often the most accepting of new things, even if that means change that involves spending more money, because Apple will cover the other end of change well (& expand a little that way).

The 3.5mm jack loss is tolerated because of airpods.

I'm old enough to remember the furor caused by Apple taking the 3.5 floppy drive when every publisher used Apple hardware for QuarkExpress & everything Adobe, replaced with this new-fangled usb thing.

The crucial thing over there was that Apple didn't bring in their own USB drive thing, but instead let IOMega try to deliver it & it went poorly for Apple customers who had big data swaps between them & others (DTP shops, magazine layouts, Photoshop artwork etc).
My personal anecdote, but I’ve never had an LED bulb fail and I’ve been using only LED for nearly a decade.
I see. I wonder how they sync up again and how dynamic the splitting and joining is. I guess long distance instant wire would be the worst case scenario for this system.
I manage 100 people and work closely with all the executives.

You don't like it because you don't understand how upper management thinks, that's why you want to go back to being an IC.

You have to understand upper management to protect your teams.
It will depend on the type of data you are using, and then what you are planning on doing with it. Various open source models will take various modalities (e.g. images of models), and will create an embedding/vector for them (even if just as an internal representation). You can take these, and store them in a vector DB. This may help https://www.marqo.ai/blog/how-to-implement-text-to-image-sea...
> eventually we will find that the design used by nature is the most efficient and capable one, likely exceed most things we can come up with.

That's a slight exaggeration, but I like the spirit. It shouldn't surprise, as nature has had many more optimization iterations, and doesn't worry about abstraction. The object code is being edited directly; any source code is long gone.
No but you don't need a Stanford degree to do it. They hire out of local areas. My girlfriend is attending ASU virtually right now and I've been really impressed with their program. When she said she was learning Matlab in a fairly normal math course I had a bit of a revelation about the defense partners of the school.
…the context was Flatpaks and snaps which directly address it by simplifying the process… the developer would explicitly avoid that confusion.
It's the same with the standard school syllabus in my corner of dusty Africa.

> What is wrong with the US?

For a developed country, they can be frustratingly archaic.
Same here. I thought Musk would bring some good change to the site, but stopping third party client access was my limit on bad changes. No way I was going to use their terrible official client or website - they are so bad to be unusable. So I stopped two months ago.

Probably for the better. I read more long form articles and don't get caught up in the outrage of the day. I feel happier too. Sometimes I miss it, go to the site to read, and then immediately close the tab when I can't actually use it because it's so bad.
Ironically, as a Dutch tech worker without a degree the USA is one of the very very few countries I can't emigrate to.
This is a faster implementation of cosine that utilises six static const double variables (C1, C2, C3, C4, C5, C6) to speed things up. These variables represent the coefficients of a polynomial approximation for the cosine function.

For the genuine article, check out: https://github.com/ifduyue/musl/blob/master/src/math/cos.c
Read all kinds of university textbooks. First read introductionary layman textbook, if you feel interesting, continue to go deeper, but not too deep.

You don't have to remember everything. Just knowing there exist such ideas or facts is enough. Usually 1000 pages is enough to get a fair proficiency.

You need a ton of factual information across broad domains to be smart.

For free textbooks:

https://openstax.org/subjects/science
It's worth pointing out that Americans with post-secondary education have historically earned much more on average over the course of their lifetimes than those with only secondary education: https://www.ssa.gov/policy/docs/research-summaries/education...

This is one of the major reasons why student loan forgiveness is so unpopular in the US (at least among those without student loan debt). But now it looks like for many, that greater earning potential is going to soon be severely truncated.
I think that’s one of the proposed chatGPT plugins. Looking forward to using it.
As a baseline, don't! If it performs horribly on the test and it cheated, that's even worse than if it fails the test and didn't cheat. So the benchmark score gives you an upper bound on performance.
I bet everyone can guess who leads the US Math league to victory?
2b2t is a great use case.

Imagine being able to moderate lag machines on a per region basis, it would make it so much easier to track problem players.
They disagreed that Trump would win in 2016, too.
In reality though, a typical stock libm is not that accurate; their error generally ranges from 1 to 5 ulps with no actual guarantees. I'm more interested in a hybrid libm with configurable errors, from the most accurate possible (0.5 ulps) to something like 2^20 ulps, and all in between.
I’m really put off by both sides.

If my daughters school didn’t offer algebra in eight grade, she just wouldn’t take algebra.

I wouldn’t spent thousands of dollars so she can be a year ahead.

It seems you have a bunch of parents who view their children’s education as a carefully calibrated laboratory process, and bunch of activists who care more about groups than individuals.
The whole protest was infiltrated by Government agents.
The shamen guy with horns was literally escorted around inside the building. (video of it on twitter).

It was never a serious attempt at overthrowing a government.
This was trap for Trump to walk down with the protestors, which he was almost baited into doing. Had he done it, he would probably be rotting in prison or dead.

This is not to say that the protest did not turn into a riot. But that riot negated Trump's election fraud claims, some of which were never fully flushed out after.

Violence delegitimized anti government protests, and so government agencies will use agent provocateurs to help things along.

Trump is hated more by the former neocon wing of his party than by Democrats. They gladly played interference to spite him. So his grip on government wasn't really that strong, hence his rants about the deep state.
This was my first application to YC.
And this is the biggest problem with our modern societies. Even when a change to the status quo will clearly make life better and more affordable for the masses, there is enormous push-back and billions of dollars are spent to prevent it.

In that way the biggest and most powerful systems in our societies are not even working to make life (and the world?) better for everyone, they just want to keep their massive wealth and power.

The same problem prevents many things getting better - healthcare, higher education, pollution, public transport, etc. etc.
It's not 2016 anymore.
civil war and the great divorce is mainstream
You directly manage 100 people? Or do you mean you have direct reports who in turn manage as well?
Have they? I would say the subsequent ~10 years of the web have vindicated Flash. HTML5 video hasn't made websites lighter or less annoying - quite the opposite (indeed video ads are a worse problem than Flash ads ever were). Meanwhile creativity and innovation on the web have taken a hit. 10+ years on there's still nothing that allows a lone auteur to produce a web experience as easily and effectively as you could with Flash (it seems to be possible to match Flash, a la the NYT's Snow Fall or the previous Madogatari intro, but not at a level that's accessible to an individual creator), and we're all worse off for it.
The issue is preventing kids from taking advanced classes.
>As far as I know, there is no proven way to improve equality in a school system.

What the remainder of your post argues is that there is no way to achieve complete equality in a school system.

But we need to be clear about what that means. Most people believe that success should be rewarded somehow. It's relatively uncommon even among socialists to argue that there should be no inequality of overall consumption opportunity. Most parents want to help their children succeed. It should naturally follow that the parents who have more resources will have more successful children. It would require a massive and likely endless society-scale project to counteract the combined parenting efforts of the whole professional class in order to achieve the questionable goal of literally equal opportunity, genetics notwithstanding. Even the Soviet Union had the nomenklatura.

The real goal should be to understand the process of education and remove all actual structural barriers while providing support to the disadvantaged in ways that are reasonably understood to be effective. Obsessing over romantic ideals that seem attractive from 10000 feet is not the way.
Easily? It's not like you're born with math predisposition. It has everything to do with culture. Asian parents push their kids to greatness. Some other groups do not.
“Warm tone” is just another name for gentler distortion, where non-linearities happen before the hard clip limit. It can be modeled pretty well digitally as long as the digital signal itself doesn’t clip, but I agree the real thing is best.
So why is that extra term needed here?

w = 1.0-hz;

return w + (((1.0-w)-hz) + (zr-xy));

------------------^ here
I live in Iowa. I know you’re being downvoted, but you’re not wrong at all here. This accurately describes the hobbies of many people I personally know.
OP here. For those thinking that Gmail MUST have valid reasons, and that we abusing the system in some way, consider...

1. We are registered with Gmail, Microsoft and Yahoo to provide feedback when someone marks our messages as spam (we DO do everything right). We get reports less than once a week, so if I've got my maths right, less than 0.002% of recipients think we're spammers.

1. Our two servers send around 10,000 messages a day, spread fairly evenly over time. That works out at three or four messages per server per minute. If we were spammers, we'd be ashamed of ourselves.
I think the correct answer is "both". TikTok means "the Chinese" have access to many billions of western eyeball-hours with really no way for anyone to know what's being shown. They don't even need to produce the propaganda themselves - all they need to do is tune "the algorithm" to show what they want to more people, and a million influencers will magically evolve their worldview towards the one that gets them the most followers. That may or may not exist.

And, yes, I think the Chinese government gives Byte Dance a huge amount of money to ensure they have some level of say in how this all plays out. Why wouldn't you? It's cleaner, easier and probably cheaper than (say) funding a rebel group somewhere. Probably less likely to bite you in the arse, too.
Can you share how you're using GPT for handling your lists? I'm mostly curious how you get the lists back and forth into a UI or whatever, and maybe prompts if you have anything clever.
I did algebra in 6th grade when I was 11 as IB curriculum (MYP 1).

WTF is the point of waiting until 9th grade? That's disgusting.
It's very typical of ChatGPT, the neutral, regular phrasing and the general, anodyne statements. ChatGPT's averaging of words produces very flat writing.
>The offer could have been $220 plus his kids were given the opportunity to “live another year” by the cartel.

It's more likely to have been $220 plus some sort of profit sharing. The cartels are probably smart enough to align incentives instead of an over reliance on violence where it can be avoided.
6 hours a day, 5 days a week, in class is plenty of time to learn math. Far more than enough.
I prefer my society to allocate valuable goods and services to those who are contributing positively to it today over those who had the luck to be born earlier and/or to wealthy families, so a stable but nonzero inflation suits me very well thank you.
It maybe a novelty feature as you suggest for many companies; however, this is not universal. There are many companies that use it as a primary desktop operating system Pop!_os, and products released by tuxedo, starlabs, and slimbook. -- these are truly a desktop focus.

that's beyond folks like me that run my own linux desktop on my own gaming pc.
LLaMA doesn't contain any meaningful training data in Turkish
Ok so you aren't that high up at all, No one manages 100 people directly, but I do manage them.
You can have either calculus or arithmetic in your head. But, it sounds like it's good to have arithmetic in your head before you replace it with calculus.
Right. Big and slow kv.
I have been calling this behavior out for almost a decade, and all I got for it was being labeled a conservative. People are extremely close minded, and completely blind to what is happening.
Thanks for the clarification! Also your blog is great
A big difficulty in using vector DBs in production for things like embeddings or LLMs it that there is alot that goes into converting and processing raw input into a vector form (think chunking, formatting, encoding, inference, metadata, etc). DBs like pinecone just don't handle any of that and therefore you have to build out large systems to do it yourself.

There are some platforms and open source tools that handle it end to end. https://github.com/marqo-ai/marqo is one, for example that is both open source and has a cloud offering.
1. When people compare with “Europe” they usually mean western and northern Europe. Wealthy democratic countries that were NATO members or aligned during the Cold War.

2. These countries pretty much all (to varying degrees) have a strong social democratic movement that has been able to set policy during the 20th century, resulting in fairly uniform (compared with USA) support for universal education, healthcare, and other things Americans can’t take for granted.

There is huge variation within Europe for sure, but western/northern european countries do largely cluster together when looked at the world as a whole.
> ow my feed is like 10 percent science, 10 mildly racist / inflammatory content, 10 percent miscellaneous,

So basically it's the new Facebook
We’ve all been there. At least all of us who care enough to argue about shit online and support it with sources.
Unfortunately there are not sufficient good mathematics teachers around to impart this level of understanding to students in school. Not that the teachers we have are trying to be bad, just realistically if you have a mathematics competency and good critical thinking skills, you are able to earn 2-3X as much not being a teacher, so most people do that.
They'll release training logs but no model file or data? How does anyone trust that this isn't just overfitted garbage trained directly on their benchmarks?
ChatGPT is a massive pipe... of bullshit.

Unless your goal is to turn humans into mindless drones which are easily persuaded and uncritical, it's possibly the worst thing to learn from.
I like analog hardware mostly because of the knobs, but there is also a nice spiritual connection to the sound energy.

Note that a solid-state amp can still be analog, transistors vs. tubes is distinct from analog vs. digital. Analog solid-state amps can make fantastic sounds, but transistors are much better at staying linear until they clip, so the transitions to nonlinearity/distortion are abrupt and the crunchy tone is less “warm”.
That sounds like a great idea, I think you should go ahead and build it because this project is kinda completely different. And mediapipe is surely the way to go for a project idea of yours, since hand-tracking is quite robust with it.
I know rust has beings to FAISS (see https://github.com/Enet4/faiss-rs), I don't know if there's anything that would be considered comparable. Alot of work has gone into FAISS
I honestly haven't found hallucination to be a problem on GPT-4 when asking it to analyze or parse a dataset but can acknowledge it being possible (I just haven't encountered it).

I think that if we consider the accuracy rate as measured in various ways being roughly that of a human, then you're trading human mistakes for AI mistakes in exchange for dramatically lower costs and a dramatically higher speed of processing. You might even say a higher level of reasoning. In my own interactions it's been fantastic at reasoning clearly and quickly outside of complex trick questions. Most scenarios in life aren't generally full of trick questions.
And also being poor dumbs you down real hard. When you have to worry about your food and don’t have steady sources of mood uplift, when your existence is just daily peppered by stress, your brain goes into power saving survival mode, not allowing you the luxury of deep perception, introspection or longer attention span, and most importantly, curiosity. By stress I mean such mundane things like your parents (or much more often your now single parent) being seemingly unhappy, or wearing the same old clothes and not being able to buy new ones. Why trying to learn anything if it’s just another chore in a life that sucks?
Very cool, can you give any details about how this was built? Just a massive Postgres cluster with programmatic schema creation? Or a primary/replica hosted on K8s for each user and offloaded to blob storage after some period of inactivity?
I’m in the heart of Trump country and I guarantee the number trump flags flying and MAGA hat wearing ain’t what it used to be around me. I definitely don’t see the same levels of Trump adulation now.

Frankly even some hardcore supporters I know are tired of his shtick and lean DeSantis.
Are you calling NYC a "hometown"?
I’m glad you pulled inspiration from it! Thanks for continuing the push to improve the git user experience. Looks very clean.
A Critical Synthesis of Research Evidence on the Effects of Gun Policies in USA
This is really freakin cool ! As a mechatronics engineer, this is the sort of thing I imagined I would be doing. This really makes me want to dive deep into RL
When Midjourney produces 360 VR video maybe. But we are getting close to an imitation.
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>How is the hospital bill your responsibility in this situation?

Exactly but on the other hand, if not his responsibility, could acting suspicious be a free GI check hack? Health coverage can be expensive in the US.

Hack methodology:

1. Sprinkle tiny amount of drugs on yourself

2. Go to border

3. Free GI check

4. Profit?
Long distance charges finally make a little sense!
Are you serious? There are quite a few more developed nations other than the three you've listed (and I'm not even sure if the claim is accurate for all three, when adjusting for size).

Just last year, Germany has accepted more than a million Ukrainian immigrants – at a population of under 100 million. Yes, exceptional circumstances, but there have been a lot of these in the past decade (consider e.g. the Syrian war). And the number the US accepted in the same year? Just short of 2000. Yes, two thousand, not two millions – at four times the population.

Looking at the statistics, the balance is something like half a million in net(!) arrivals per year in the last decade. (I couldn't find comparable numbers for the US, but granted green cards seems like a reasonable proxy, and that's also less than a million per year, and that's not even accounting for people moving away.) And if you look at the larger EU, the "more than any other developed nation" claim completely falls apart.

The US also gets to cherry-pick immigrants based on skill to a much larger extent than the EU does due to geography alone (requesting asylum generally requires physical presence, and the EU's land and sea borders are a lot easier to cross).
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Although there is some work going on right now to add support for the type of algorithms in pgvector to alot it to scale better (and also to have better recall/speed tradeoffs).