skysight-inc/HackerNews huggingface dataset:
> NYC's subway had 2 billion riders last year.

Either you're claiming that a quarter of the world's population at some point rode the NYC subway last year, or they're counting ridership non-uniquely, meaning that's a much smaller number of people riding multiple times a year (much more probable).

> How many of them do you think were victims of a crime while riding?

Assuming the latter interpretation, the absolutely most charitable interpretation of the metrics (including the assumption they're complete) says a crime happens every million rides[1]. But that greatly depends on what you mean by a "crime", as only the most severe crimes are counted, and they are only counted if reported.

As someone who's actually ridden public transport several times in the US and doesn't anymore, the reason why is that I observed crimes happening almost constantly. I made the mistake of riding the RTD after moving to Denver and found people openly smoking fentanyl in the train cars, and saw a fight break out. I have been able to personally avoid the consequences of this because I take precautions when I am in public and now actively avoid public transport in the US. FWIW, it's bad enough in NYC that crazy things (most of which are crimes) happening on the subway is a running joke in New York City that's considered relatable enough outside NYC that it's a regular gag on SNL.

[1]: https://www.nytimes.com/2024/03/06/nyregion/nyc-subway-crime...
But plenty people switched to Claude, esp. with Sonnet 3.5. Many of them in this very thread.

You may be right with the average person on the street, but I wonder how many have lost interest in LLM usage and cancelled their GPT plus sub.
That is strong (and fun) point, but this is peer reviewable and has more open collaboration elements than purely selling widgets.

We should still be skeptical because often want to claim to be better or have unearned answers, but I don't think the motive to lie is quite as strong as a salesman's.
> The only things it does for me is forcing me to use Google

Startpage, Kagi and Lukol are 3 that source from Google. I imagine there are others.
Right now it exports a .fcpxml file which you would import into you editor (davinici, final cut etc) which includes all of the cuts you made. And from there you could move things around, add effects, do color grading, whatever you need to do to get to a final product.
"Most agencies are hiring new grads at GS-7 or GS-9 (in SF that's $61k to $75k to start) which is a joke."

This has not been my experience, my agency hires new PhDs at the GS-13 level and BS/MS graduates at the GS-12 level. But YMMV.

"It's possible to find a job at some agencies working on stuff that feels very rewarding and very important, but you will always constantly feel like the bureaucracy is constantly fighting you."

Concur.

Of course, government jobs are very stable, which can be an advantage or not depending on what you want out of life. We find that most of the engineers we are able to recruit have been to industry or academia and found the instability and poor life balance to be incompatible with having a family. So my "new" recruits tend to be a little older, married, with a child or two. On the other hand, many of my actual younger hires eventually get headhunted and leave for industry to make 2x more than I can pay them. Then they find out that on an hourly basis they're making roughly the same amount, because their new jobs expect 20-40 hours of unpaid overtime.
I'm still alive, so zero. Meanwhile, I've been accosted on public transport in the US multiple times. It's part of why I avoid public transport in the US.
So, about twice what you'd get in a class action.
> Worse it doesn't even really "work" anymore, giving how most search are flooded with garbage SEO results and payed advertisements "basically" looking like search results ...

I don't understand what you're saying. That's exactly why people append `site:reddit.com` to their searches in the first place, because those search results typically aren't like that.
Well, I'm not a CrowdStrike customer, so I'm not entitled to any gift cards anyway, and I'll refrain from asking snarky questions like "is that per organization, per affected PC, or per minute of wasted support time?"

Instead, let me offer the following, alternative snark: "If I were to share with you the secret of renaming your C-*.sys files to C-*.tmp prior to trying to ingest them, so that if you crash while doing so, you will not repeat that mistake right after rebooting, how many US$10 gift cards is that worth? Keeping in mind, of course, that is, like, 2 hours of parking where I live?"
I wrote and published a paper at COLING 2022 on why LLMs in general won't solve this without either 1. radically increasing vocab size, 2. rethinking how tokenizers are done, or 3. forcing it with constraints:

https://aclanthology.org/2022.cai-1.2/
I won't just say it doesn't satisfy my philosophy. I'll say additionally that the .NET standard library's `DateTime` type, which I believe is essentially the same and uses basically the same primitives, is so hard to use correctly that I have multiple times had to rewrite other people's programs, in one case completely from the ground up, to fix their correctness due to bugs I personally encountered in them in real life. I do have empirical evidence for some of my opinions, you know!

Time handling is one of the many cases where there is actually complexity in the domain, and if you refuse to model the complexity, that doesn't make the complexity go away; it just means you've got bugs.
╰( ^o^)╮ CrowdStrike forwarded me a VERY SLICK refer a friend code that got me a $5 cash bonus no questions asked and them a little something something too for registering a new Cash App account today! $$$ ╰( ^o^)╮

So cool much appreciated CS ~~ good lookin out ! I even beat my coworker to the code he was so mad lol

Now $10 on Uber Eats? Hope I can redeem that code before one of you losers does… Last one there is a rotten egg!

So randooom heheh aww we like to have fun . My boss is so mad that we had no production for 20 hours, but stuff happens what can you do D;
Reworkd raises $2.75 to build multi-modal web agents
I don't know anything about AI but there's one thing I want it to do for me. Program a full body exercise program long term based on the parameters I give it such as available equipment and past workout context goals. I haven't had good success with chatgpt but I assume what you're talking about is relevant to my goals.
>The strange thing to me is how everybody keeps trying to make distributed Twitter happen when distributed Reddit is the low hanging fruit for federated social media.

Honestly, it's strange to me how hard people are trying to make distributed anything happen. Federation mostly solves a problem that real people don't have or care about.
Why would you make this proclamation? Add you able to predict the future?
Perhaps my most prominent paper was a null result. If the question is important enough, the work to test it non-trivial, it will find an audience and a likely a reputable journal.
What is the value in reporting a null result other than reducing file drawer effects? Well one, even though the null does not tell us whether the effect is absent, it does help suggest bounds on how large an effect could be if it did exist. In my case, a particularly large effects were observed in cross-sectional comparisons (different people at different ages), but our research showed that longitudinal changes within individuals were generally negligible, suggesting systematic bias in the cross-sectional sampling.
>some degree of salesmanship

buddy every few weeks one of these bozos is telling us their product is literally going to eclipse humanity and we should all start fearing the inevitable great collapse.

It's like how no one owns a car anymore because of ai driving and I don't have to tell you about the great bank disaster of 2019, when we all had to accept that fiat currency is over.

You've got to be a particular kind of unfortunate to believe it when sam altman says literally anything.
Colin Kaepernick AMA – I just launched Lumi
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TIL

"Grill Cleaning Techniques and Tools* is among my full zoom-out expertises.

AMA.
Not only is there a limit, they have been enumerated. And since this is the music industry, copywrited.

https://www.hypebot.com/hypebot/2020/02/every-possible-melod...
It’s a lossy transformation, so you’re losing information each time. It’s never going to add information.

However, some information is junk that obscures the good stuff. It’s likely that how they train today is very inefficient compared to what’s possible, and there will be smarter ways to transform preexisting data so that it’s a better dataset to train on, without losing very much.

Papers like this one show what not to do.
I took repressed to mean a far greater extent than typical school yard bullying I meant to convey
All evals we have are just far too easy! <1% difference is just noise/bad data

We need to figure out how to measure intelligence that is greater than human.
Why the heck does every single computer in an organization (even the computers in the airport terminals??) need such invasive monitoring software installed? Sounds like compensating for not designing the org's software securely, and not using the operating system's existing security facilities.

Sure there's the defense in depth argument, but this is too in depth, and as proven today not without its risks.
Who are "they"? And do you actually believe the practice of publishing unvetted preprints is a good thing in ML research?
This. It's really weird the way we suddenly live in a world where it's the norm to take whatever a tech company says about future products at face value. This is the same world where Tesla promised "zero intervention LA to NYC self driving" by the end of the year in 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, and 2024. The same world where we know for a fact that multiple GenAI demos by multiple companies were just completely faked.

It's weird. In the late 2010s it seems like people were wising up to the idea that you can't implicitly trust big tech companies, even if they have nap pods in the office and have their first day employees wear funny hats. Then ChatGPT lands and everyone is back to fully trusting these companies when they say they are mere months from turning the world upside down with their AI, which they say every month for the last 12-24 months.
At this point you'd typically be managing a team of software developers. But yes.
Imo it's impressive that any of this even remotely works. Especially when you consider all the hacks like tokenization that i'd assume add layers of obfuscation.

There's definitely tons of weaknesses with LLMs for sure, but i continue to be impressed at what they do right - not upset at what they do wrong.
What doe they mean by "single-node inference"?

Do they mean inference done on a single machine?
Well, the US have also actually secret law...
Lessons from the Death and Rebirth of Thunderbird
These are races they're discussing. Not recreational cyclists. Racers are only coasting downhill if they're going so fast they can't pedal faster than their speed. Any energy capture downhill would slow a rider down in a race.
This is what makes the US economy interesting, in that despite being a leading producer of oil, unlike other large producers of oil, it does not come close to being reliant on the industry. In comparison, almost all other large producers of oil are petrostates, in that much of their economy is dependent on oil and gas. The US oil and gas industry could cut its production in half and it would change the GDP by a percentage point at most. US oil production is more important for natural security, so that the country is not reliant on other countries for production, than it is for the GDP.
The non-commercial license is underwhelming.

It seems to be competitive with Llama 3.1 405b but with a much more restrictive license.

Given how the difference between these models is shrinking, I think you're better off using llama 405B to finetune the 70B on the specific use case.

This would be different if it was a major leap in quality, but it doesn't seem to be.

Very glad that there's a lot of competition at the top, though!
Use your network. Don’t use LinkedIn. Ask other developers jn your network if they know anyone who is looking.
Meta will make money like it has in the past by having data about users and advertising to them. Commoditizing AI helps them keep at that.

See Joel on Software "Smart companies try to commoditize their products’ complements" https://www.joelonsoftware.com/2002/06/12/strategy-letter-v/
Stargazers Ghost Network
There is a difference between something that can be completely automated and where unpredictable problems arise.
To me it's just a limitation based on the world as seen by these models. They know there's a letter called 'r', they even know that some words start with 'r' or have r's in them, and they know what the spelling of some words is. But they've never actually seen one in as their world is made up entirely of tokens. The word 'red' isn't r-e-d but is instead like a pictogram to them. But they know the spelling of strawberry and can identify an 'r' when it's on its own and count those despite not being able to see the r's in the word itself.
Interesting. I worked for a company that got bought by another company. Pretty much everyone was a salaried employee with a standard employment contract. There was no formal rehire process, but at some point the new company did the same thing as OP's company, saying that anything we produce at work or with work resources belongs to the company. But with an added "no moonlighting" clause.

We did not get any consideration, cash, or gift cards. Instead we were told that if we didn't sign the new company's mandatory agreements, our employment status could be up for review.
How does this analogy work: Producers and regulators (or, if you prefer, the market) play an important role in managing food safety but they are not a replacement for our immune systems. Both are necessary.
this can be automated.
I did not see any reporting on "Cloudstrike". Either you're misremembering the happenings of Friday, or there was some sloppy reporting.
>Reddit was already an alternative to Digg -- what's the alternative to Reddit?

This site is essentially 'orange reddit', they just need to add sub-HNs or tagging or something and it'd be ready for an influx of reddit refugees. Not that any of really want it, but it's possible.
I'm long on synthetic data.

If you think about evolution and hill climbing, of course it works.

You have a pool of information and you accumulate new rearrangements of that information. Fitness selects for the best features within the new pool of data (For primates, opposable thumbs. For AI art, hands that aren't deformed.) It will naturally drift to better optima.

RLHF, synthetic data, and enrichment are all we need.
> We find that indiscriminate use of model-generated content in training causes irreversible defects in the resulting models

The key word there is "indiscriminate". All of the big AI labs have been training on synthetic data for at least a year at this point, but they're doing so deliberately.

I don't think the "model collapse" problem is particularly important these days. The people training models seem to have that well under control.
The Messages web app is pretty slow and flaky in my experience (I use it every day). The iMessage protocol seems more reliable across devices, but that's just anecdotal.

The Reactions thing depends on your phone's default app. On Pixels and a few Samsungs the Google app comes default, but that's not the case across Android (especially older and cheaper devices). In a mixed group, you can't reliably predict who can and cannot see them. There's usually 3 or 4 separate protocols (SMS/MMS/RCS/iMessage). Safer to not use them unless you're talking 1 on 1 with someone you know can receive them.

Precision Finding is different from the base location system. The iphones have a separate ultrawide band radio that can triangulate and point to things nearby with a compass. Some Android phones have dormant UWB radios in their chips but as far as I know there is not yet ecosystem support for it yet except maybe in limited Samsung devices. That's supposed to coming to Pixels later this year. We'll see.

Yeah the lidar is neat. Mostly just a toy though since most of the photogrammetry is done by the visual camera instead (you can disable the lidar and still get similar results).
I think (2) is a misunderstanding and it'll handle something like "a small office with some PCs and some servers and some users connecting remotely" or so.

However, even if I did get that right, your point (1) is excellent.

Smaller ISVs and/or MSPs could quite possibly sell this as part of a bundle, and if you can make it require -less- support than whatever their clients had been using previously that seems like it should make it of significant interest to them.

(I definitely appreciate the 'supporting SMEs is a time suck' concerns in the original post but 'make it less of a time suck for the people already doing it' plus 'turn yourself into 2nd line support only' seems like it could be a way to turn that concern on its head viability wise)
I genuinely see the point you're trying to make, but fitting a bicycle is like fitting an article of clothing. It's is laughable to suggest clothing be one-size-fits-all the same way it is for bicycle geometries. It doesn't compare.
I think this idea of what it means to be a person of vision is interesting, we’re in this place now where we’re trying to make the future happen. Self driving cars, robots, AI, if you’d thought of all this stuff 100 years ago, you’d still be a visionary but you’d be writing science fiction, If you have these ideas 100 years from now, it would be too late.

AI is amazing, but I think it will continue to be a relatively specific product for the near future. So 10 years from now we’ll probably revolutionize the UX of a lot of products on the market right now, but will the world look fundamentally different than it does now? I’m not so sure.
That seems like the business model for streaming. You subscribe to X provider to watch Y series. So, as for streaming, I suppose a pirate bay search engine will come up
Pedantic but correct. They just had to be different.
Spreadsheetllm: Encoding Spreadsheets for Large Language Models
It's a very long article so understandable that you did not read on and learn about other search engines crawling beyond GBY. Still there are indeed very few that are crawling at web scale, and internationally. We are at 8 billion pages and totally independent [0], hence expressing our concerns to 404 media after being blanked by Reddit.

[0] https://www.mojeek.com/about/why-mojeek
My own form of learning in public has been to host book clubs for the books I have been reading and then taking notes, sharing insights about them through blog posts, discussing them on IRC channels, etc. I have done two such book clubs so far. The first one was for Introduction to Analytic Number Theory (Apostol, 1976) and the second one was for Mastering Emacs (Petersen, 2022).

I have the meeting logs, details, etc. for them available here: https://susam.net/cc/

I plan to begin one more on Galois Theory (Stewart, 2015) quite soon. I am just waiting for the hardcover book to arrive! If this type of thing interests you, I'd love for you to join the discussion either in the IRC channel or the Matrix room linked on the page above.
which is ironic because pre-AI every solid piece of obscure information and non-programming question usually had an answer on reddit, its an extremely valuable dataset looking back. but moving forward i think its only going to become less valuable and people will probably manually/custom-scrape all the questions out of worthwhile subreddits and open up their data for free
A girl I went to school with in the American South is now a reporter in the Midwest. She was supposed to go home for a brief visit to see her family, but Delta canceled her flight due to the CrowdStrike outage. A few days later her father was murdered by a disgruntled customer while working at his jewelry store in their hometown.

What an awful coincidence. I can’t even imagine how it must feel to have a freak technical accident deprive you of seeing your father for the last time.
We always needed a tock to see real advancement, like with the last model generation. The tick we had with the h100 was enough to bring these models to market but that's it.
And even then, there are other substances that can give you a false-positive on Ehrlich's
This is naked political activism that clearly breaks the HN guidelines and offers zero informational content, intellectual gratification, or other value to me or anyone else here. Please don't put stuff like this on HN.

https://news.ycombinator.com/newsguidelines.html
"Mistral Large 2 is equipped with enhanced function calling and retrieval skills and has undergone training to proficiently execute both parallel and sequential function calls, enabling it to serve as the power engine of complex business applications."

Why does the chart below say the "Function Calling" accuracy is about 50%? Does that mean it fails half the time with complex operations?
Isn’t that what Measurement Studio is meant for?

https://www.ni.com/en-us/shop/product/measurement-studio.htm...
Yes, just ensure you can keep them cool. I have an old m40 that opened up my options with 24GB of VRAM, installed on a traditional case with a 3d printed cooler adapter + fan. While it isn't always fun getting older cards to work, it is certainly viable (and scalable if needed).
The study attempts to prove that this method of assigning managers is inefficient, no matter what bearing that has on industry today
Wouldn't the equivalent for Meta actually be something like:

> Other companies sell widgets. We have a bunch of widget-making machines and so we released a whole bunch of free widgets. We noticed that the widgets got better the more we made and expect widgets to become even better in future. Anyway here's the free download.

Given that Meta isn't actually selling their models?

Your response might make sense if it were to something OpenAI or Anthropic said, but as is I can't say I follow the analogy.
Collection about the Hebrew Translation of the New Testament by Hebraist
Atlantic garbage barges now have a destination: we must dump there to create Null Island.
Is there a way to stop all the political text messages?
If OpenAI was saying this you'd have a point but I wouldn't call Facebook a widget seller in this case when they're giving their widgets away for free.
All that Marvel slop was created by the first real LLM: <https://marvelcinematicuniverse.fandom.com/wiki/K.E.V.I.N.>
Expert scientist here. The estimated TNT equivalent is about tree fitty
Does the robot fall in love with its own reflection?