skysight-inc/HackerNews huggingface dataset:
I'm not saying that this is a solved problem today. And yeah, llms are also helpul here.

What I meant is that this can be solved by a good language. But you would have to use F# (or another language with a feature like type providers) on the frontend.
> read the arguments that the microsecond trading serves a purpose that benefits all of us, but I fail to see how, even with the explanations

What about an empirical argument? Microsecond trading reduces spreads and decreases volatility. It looks useless, so people try to regulate it away, and every time they do spreads widen and trading firms' and banks' profits fatten.

> Every 30 seconds. Cap the power of connection speed in trading

I'd go back to Wall Street if this happened: it would make market making profitable again.
You need to spend time learning how to use it. This is difficult because there's no manual, and there's a widespread implication that it should just magically work well without you having to invest any effort in it.

If you can figure out HOW to invest that effort it becomes really valuable.

I wish I had good resources I could link you to here but I don't, which is a big part of the problem here.
I've heard that too, but even if true it's still a problem for the minority of people in the area who would have liked to get fresh veggies and such.
To be fair it's not the energy that you're concerned with; it's the source of that energy.

Private jets can't run off nuclear power grids. Also the real problem-child of emissions is not America. China has a billion more people, what are their TVs like?
One thing that worries me about AI-generated code is that if there's an obscure bug that pops up later, there's no engineer to think "ok hang on, I remember something strange happening when I first wrote that code... let me have a look." Instead, there are only engineers who reviewed the code, which is of course a lot different from writing it.
The treasure of my retro gaming collection is a 720p 32" CRT. It must be 100lbs.
How do you even define ASI? How do you know it will run on silicon? If it will run on silicon, what kind of silicon? GPU? TPU? Binary? Ternary? Von-Neumann architecture? How can you even start to build chips for something completely imaginary?
We grew up on social media, watching influencers and celebrities living the dream—millionaires, stars, and idols flaunting a life we thought we’d have, too. But as reality hits, we’re realizing life isn’t a highlight reel, and those dreams aren’t as reachable as we once believed. And honestly, it’s pissing us off.
Thank you, it is nice to see an empirical observation of before and after the transition to continuous trading.
was looking for the quote, here is the full paragraph with it

"We're also using AI internally to improve our coding processes, which is boosting productivity and efficiency. Today, more than a quarter of all new code at Google is generated by AI, then reviewed and accepted by engineers. This helps our engineers do more and move faster."
> God as in smarter than all of humanity combined times infinity (or at least a very large number).

This is delusional. Nobody has demonstrated AI that can even match the output that human creativity has accomplished in the past 5 years. It will take an awful long time before it's up there alongside humans, and by the time it surpasses us we'll both be long dead.

If you're not just being performative for a joke here, then I don't even know how I can explain how wrong you are. All of this - the promises of "AGI", the bajillion-dollar meme order sent to TSMC, the cryptic sama tweets in lowercase - it's performance art. It's unsubstantiated, nondilineated, unproven, unstudied nonsense. That's it. I'm sorry if I hurt your feelings, the crypto bros had to go through this a few months ago and it was tough for them too. But the dividends have to be paid, and in a few years time your "$7 trillion dollar" intellectual property empire will be sand.
Whatever the motive, it's probably a smart move
I did the same and will likely end up back with Instapaper. Omnivore’s export leaves a lot to be desired, though. Trying to find a script that will give me something usable to import.
Yes but the average user is not purchasing those, let alone putting together a system with one for $600
More bluntly: light in a fibre is still bouncing around a lot.
It's not mental gymnastics to say that the people who use emulation can be divided into groups who would have and who would not have otherwise paid for a game. There is damage done, despite all the people who only use emulation ethically.

Even the people who only pirate games that are no longer for sale could end up withholding money from the industry because their gaming needs are met by the quasi-piracy.

You can disagree with him, but smugly pretending he doesn't have a point is disingenuous.
RIP Google
> I'm actually very curious why AI use is such a bi-modal experience.

My conspiracy theory is that the positive experiences are exaggerated and come from investors in the Nvidia stock.
I remember reading this around a decade ago. Still holds up though
Usace unleashes nearly intolerable pet cuteness upon the world – again
True. I think Sam might get a "bonkers" pass because of his track record that the rest of us might not.
…. then reviewed and accepted by engineers.
Oh it's definitely security theater, and it also wastes a ton of time as you describe, figuring out how to add certs or use a proxy in various pieces of software.

Back when I had a corporate job, I think at least 50% of my value to the company was that I knew how to get around Zscaler when necessary. Nothing particularly clever, just secretly using a proxy on some random server in our data center that happened to have unfiltered access to the Internet - which seemed like more of a potential security issue than anything Zscaler solved, but oh well.
It's even possible to do dumb stuff in pursuit of a personal best without using an app at all.

But it should be noted that the Strava user in question doesn't seem to have been cheating. For some reason, they were trying to set a legitimate score in an ill-advised way. There's no evidence here that cheating in Strava is a problem.

Is Strava promoting unsafe riding? Maybe. I don't really think so. But it's not connected to the cheating question.
Yes, funnily enough Microsofts reason was not HFT but AI. Essentially inter-datacentre training is limited by latency between the datacentres.

Generally they want to build the datacentres close to metro areas, by using hollow core fibre the radius of where to place the data centres has essentially increased by 3/2. This significantly reduces land acquisition costs, and supposedly MS has already made back the acquisition cost for Lumenisity, through those savings.
Cool release!

I've yet to personally find a good use case for wasm in any project, kind of the same way I'm not quite sure what to do with a bunch of Raspberry Pis

It fills a need, I just don't know who/what has that need.

Example: Say I write a bunch of Rust async projects for fun. Scraping APIs, etc.

How/why would I choose wasm/wasmer to do that instead? I'd do it in Rust (awkwardly/in some specific non-standard way) to compile to wasm to then run in wasmer? To what benefit? Ok, that's not a good usecase/example

So what is?...
Generating Descriptive Weather Reports with LLMs
Are there any federated and open source solutions from 2002 that are still running today?
> Porting a multi-thousand line web SaaS product in Typescript that's just CRUD operations and cranking out web views? Sure why not.
>
> Porting a multi-thousand line game codebase that's performance-critical and written in C++? Probably not.

From my own experience:

I really enjoy CoPilot to support me writing a terraform provider. I think this works well because we have hundreds of existing terraform providers with the same boilerplate and the same REST-handling already. Here, the LLM can crank out oodles and oodles of identical boilerplate that's easy to review and deal with. Huge productivity boost. Maybe we should have better frameworks and languages for this, but alas...

I've also tried using CoPilot on a personal Godot project. I turned it off after a day, because it was so distracting with nonsense. Thinking about it along these lines, I would not be surprised if this occurred because the high-level code of games (think what AAA games do in Lua, and well what Godot does in GDScript) tends to be small-volume and rather erratic within there. Here there is no real pattern to follow.

This could also be a cause for the huge difference in LLM productivity boosts people report. If you need Spring Boot code to put query params into an ORM and turn that into JSON, it can probably do that. If you need embedded C code for an obscure micro controller.. yeah, good luck.
I bought the Philips Evnia which fits perfectly into that category at 42". Despite being a gaming monitor it's not garish and I've grown to love the ambilight.

https://www.philips.co.uk/c-p/42M2N8900_00/evnia-gaming-moni...
Because saying "more than a quarter of all new code at Google is generated by free crowdsourcing from internet scraping" doesn't roll off the tongue as easily ;)
> With minimal guidance[, LLM-based systems] put out pretty sensible tests.

Yes and no. They get out all the initial annoying boilerplate of writing tests out of the way, and the tests end up being mostly decent on the surface, but I have to manually tweak the behavior and write most of the important parts myself, especially for non-trivial tricky scenarios.

However, I am not saying this as a point against LLMs. The fact that they are able to get a good chunk of the boring boilerplate parts of writing unit tests out of the way and let me focus on the actual logic of individual tests has been noticeably helpful to me, personally.

I only use LLMs for the very first initial phase of writing unit tests, with most of the work still being done by me. But that initial phase is the most annoying and boring part of the process for me. So even if I still spend 90% of the time writing code manually, I still am very glad for being able to get that initial boring part out of the way quickly, without wasting my mental effort cycles on it.
> If you ask a question and someone answers, say thank you.

Given that a disproportionate number of accounts on this site are rate-limited in their comments, this might be a big ask. Maybe I'm the crazy one, but thankfulness should be implied through polite decorum and not asking someone to spend a comment that could be used to clarify or solve a problem on genuflecting a really nice gesture to someone sipping a coffee at their cubicle.
Not the man made kind, which are different from natural sources and greatly increase the background EM fields we live in.
This clearly calls for dual 8k displays! One as the desk (under a solid layer of glass), and one as the monitor.
That's a facially absurd statement. Just on the numbers:

The US consumes 500 gigawatts on average, or 5000 watts per household.

So if every household bought an 8K TV, turned it on literally 100% of the time, and didn't reduce their use of their old TV, it would represent a 10% increase in power consumption.

The carbon emissions from residential power generation have approximately halved in the past 20 years. So even with the wildest assumptions, it doesn't "throw away all the progress we've made on Global Warming for the past 20 years ...".
This stuff has been a big bugaboo for GOP idiots for a long time.

Rick Santorum (a former conservative luminary) was pushing for a law that would prohibit making weather data available to the public, but would make it available to companies like Accuweather for free.

The brother of the Accuweather founder was Trump’s appointee to run the weather service.

It’s on of those things that illustrates that no public resource is safe from graft.
> If you don’t do this, be prepared for a mini-audit on every sale (if you get that far).

That's the position we're in, though as an older but still growing B2B we have to do this for existing customers as well.

We're in the process of getting ISO27001, meanwhile we got one guy out of 40ish almost full-time answering such questions now.
Didn't intend to drag you down into one. Sorry.

I got one because my wife, who actually is an aficionado, suggested that it would be a good one to carry with me (and it is) due to the non-leak. I would carry it more except that we have some forms at work that are duplicates, requiring pressure, so it's useless for that. A Pilot Precise V5 RT retractable rollerball is nearly as good and cheap (in small quantities, $2-3 apiece).
The parent comment is wrong. The Samsun QN800A uses 139W typical, with a peak around 400W according to reviews https://www.rtings.com/tv/reviews/samsung/qn800a-8k-qled#tes...

To put it in perspective, an electric car might need 350 Watt-hours per mile. A 10-mile drive would use 3.5 kWh. That's equivalent to about 24 hours of using that monitor at normal settings, or about 8 hours at maximum brightness.

The comparison doesn't make sense, though, because if you drove to the office you'd still be using a monitor somewhere. A single 4K monitor might take around 30-40W. Using four of them to equal this 8K display would come in right around the 139W typical power consumption of the 8K 65" monitor.
> Elon said a camera is all you need.

This was when I really started to doubt that guy's genius. That was a phenomenally stupid assertion. I can drive with 2 eyes because I have a bunch of other sensors as well as an entire world model in my head with 30 years of driving experience.

Is it Halloween tonight? Better drive extra slowly. Did that white semi with the bright background sky just disappear? Probably not. Is that deer going to bolt in front of the car coming the other way? Maybe. Is the road slick because it recently rained here? etc.
I would presume at this point they don't drive when the weather is near freezing. icy conditions are going to be a huge issue for the cars. LIDAR and Cameras don't help with black ice.
I think it has a lot to do with tiktok's rise to power, for the first time there is a platform that is not controlled by the west (Pro-Zionist), which would completely censor out news like Facebook and Instagram does.
My 3 year old recently picked up a sausage and asked "did this used to be a pig?"

"Yes, that used to be a pig."

"OK!" and popped it into his mouth.

Kids really don't care.
Any good examples of such generated code? Anything to look at on Github, Gitlab, etc?
Support your local farmer.
It’s funny how that bit only comes up when HN wants to use it to make a point.
Thanks, botsin.space! It was fun while it lasted!
Absolutely speechless. on behalf of one of the Flutter founders, he made all of them look bad.
I think OP’s point is that most users don’t choose to do so. Whether because of lack of ability, interest, time, whatever, people would mostly rather just be users.
Eh, I would imagine that more than a quarter of new code at any FAANG is boilerplate which is ideal for current AI systems. I'm pretty anti-current-AI, but I can't say that I'm not impressed at how well it handles boilerplate code.
More than a quarter of the new code is generated by AI while I need to clarify each time with my PM what does the ticket they opened mean
'An incurable romantic': The boy who lived a secret life in World of Warcraft
Have been sporting a 4K LG CX48 OLED since ~Sept, 2020 best monitor decision ever. I've got two HDMI out cables, 1 going to my gaming rig and the other for my Macbook where I do my work as a developer.

I haven't noticed any burn-in or dead pixels. You need to set it up for success, enable all the burn-in prevention settings the monitor provides (static image darkening, pixel shifting&cleaning). It's also a great idea to do other things such as sleeping the monitor after 1min if inactivity, no screensaver (or just black), black desktop background, hide taskbars, etc

edit: to add, i have the monitor mounted to the wall and about 1" above the height of my desk[1] - this puts the center of the screen directly at eye level

[1] - https://i.postimg.cc/nhqvM4Yz/62395566614-66-C9-BCAA-367-C-4...
> banks, financial institutions and fintech's are using it everyday in their business.

They absolutely are. They'd be crazy not to.

And many people are being laid off as a result, which is why they're keeping it quiet.
Note that American exchanges open and close with a batched cross. This hybrid approach is why most objections to intraday continuous trading is misplaced.
I think in this regard it works just fine. If the laws move to say that "learning from data" while not reproducing it is "stealing", then yes, you reading others code and learning from it is also stealing.

If I can't feed a news article into a classifier to teach it to learn whether or not that I would like that article that's not a world I want to live in. And yes it's exactly the same thing as what you are accusing LLMs of.

They should be subject to laws the same way humans are. If they substantially reproduce code they had access to then it's a copyright violation. Just like it would be for a human doing the same. But highly derived code is not "stolen" code, neither for AI nor for humans.
Car costs considerably more than your 150k figure. Probably by something like 2-3x
I took my first Waymo trip this past weekend. I will be using it every time from now on.

I try to take an actual taxi (Flywheel) whenever possible, because Uber and Lyft feel... I dunno, exploitative to me. But my last 3-4 cab rides have been annoying and/or terrifying. One cabby stopped in the middle of a busy intersection to check directions. Another cabby got lost the minute I got into the cab, and I had to guide him. Then he kept peppering me with personal questions. Another cabby tried to convert me to Islam...

Waymo was quiet. Obeyed traffic signals. Took a rather tricky backroad to get to my apartment, and navigated it flawlessly. Tried to convert me to the Cylon god.

I'm gonna root for the robots on this one, I'm afraid.
What takes one person a year takes another person 5
> In business and government contexts, professional human interpreters are usually provided with background information in advance so that they understand what people are talking about and know how to translate specialized vocabulary. LLMs will need similar preparation for interpreting in serious contexts.

I've given some high-profile keynote speeches where top-notch (UN-level) real-time simultaneous interpreters were used. Even though my content wasn't technical or even highly specialized (more general business), spending an hour with them previewing my speech and answering their questions led to dramatically better audience response. I was often the only speaker on a given day who made the effort to show up for the prep session. The interpreters told me the typical improvement they could achieve from even basic advance prep was usually >50%.

It gave me a deep appreciation for just how uniquely challenging and specialized the ability to do this at the highest level is. These folks get big bucks and from my experience, they're worth it. AI is super impressive but I suspect getting AI to replicate the last 10% of quality top humans can achieve is going to be >100% more work.

An even more specialized and challenging use case is the linguists who spend literally years translating one high-profile book of literature (like Tolstoy). They painstakingly craft every phrase to balance conveying meaning, pace and flavor etc. If you read expert reviews of literature translation quality you get the sense it's a set of trade-offs for which no optimal solution exists, thus how these trade-offs are balanced is almost as artistic and expressive an endeavor as the original authorship.

Current AI translators can do a fine job translating things like directions and restaurant menus in real-time, even on a low-end mobile device but the upper bound of quality achieved by top humans on the hardest translation tasks is really high. It may be a quite a while before AIs can reach these levels technically - and perhaps even longer practically because the hardest use cases are so challenging and the market at the high-end is far too small to justify investing the resources in attaining these levels.
Better source article: https://blog.google/inside-google/message-ceo/alphabet-earni...
Dropbox CEO says these types of people will be the ones to benefit from AI
This is a bit much.

The average American household uses about 29 kilowatts of power per day (29,000 megawatts).

The difference between using a 4K screen and 8k screen for 8 hours a day is about 100 megawatts difference.

I wouldn't get over excited about something increasing overall energy usage ~2.5%.
If we don't treat almost all integers in an algorithm as fixed size then the analysis gets really messy and annoying in a way that has nothing to do with real computers.

And if the algorithm actually did anything with the value that made it grow or shrink with the recursion, the TCO version would stop being O(n) under such a framework. This only works because it's passing 0 around every iteration. And this probably already applies to the TCO version's flow control depending on how you expect to run it.
> If you need embedded C code for an obscure micro controller.. yeah, good luck.

... or even information in the embedded world. LLMs need to generate something, o they'll generate code even when the answer is "no dude, your chip doesn't support that".
It did. Yes, it's low-quality, but it won the streaming game, and eventually, all studios will need to license their content to it. A blockade is not an option anymore. I am not saying that it will be better. I saying that eventually, it will happen.

Another option is for a studio to contact actors who have no problems with AI twins and make them superstars.

The current crop of actors and superstars is not going to beat what's coming with the advent of AI. We say it sucks but our displeasure won't change a thing.
Take that API scraping script example. Imagine next you want to build a platform where you run code written by your users who want to e.g. scrape APIs. Think ParseHub I guess? Zapier is another good example.

You'd let them write in Rust or some other language that can target WASM, then you'd run the WASM blobs in a controlled sandboxed execution environment in your platform.
AI code is the new offshore code. Have fun maintaining it.
It would be interesting to consider branchable DBs as part of the migration cycle, especially for forward and backwards time skips.

While not dealing with that kind of scale yet, our application (An AI Data Engineer that has done migration work for users) needs to do before and after comparisons and find diffs. We use a branchable DB to compute those changes efficiently (DoltGres)

Could be an interesting thing to consider since it's worked well for us for that part.

Our build if u wanna check that out too -> https://Ardentai.io