skysight-inc/HackerNews huggingface dataset:
Quality and accessibility is my belief.

Meta's Llama3x are great models but they're not providing the same quality and/or accessibility as OpenAI does. Take a look at all the products attempting to sit themselves on top of OpenAI's APIs vs those running on Llama3x; OpenAI dwarfs Meta in that regard, today.

We avoid OpenAI's models/API because of client data sharing constraints and are instead using OSS models, including L3x, but it appears most do not see that as a barrier to adoption and are moving forward with OpenAI's offerings.

We shall see if the work that OpenAI is doing will pay for itself in the long term and whether OSS models can match the gains made with the funding the commercial offerings are receiving, however.
That isn't synthetic data in any reasonable or meaningful sense of the term.

You could describe a textbook as a synthesis, sure, in a sense which absolutely does not track with the 'synthetic' in 'synthetic data'.

Unless the textbook is AI-generated, and I expect that in 2024, the number of AI-generated textbooks is not zero.
I wonder as well how the performance correlates with the candidate's peers prediction of how they would fare, as this is also a big component of how managers are usually picked, and might or might not be a good indicator
Why aren't you promoting internal senior team-lead staff into these roles?

Just kidding, we all already know why... =3
> The amount of legal liability the company is going to be under will be staggering and the brand reputation is worse than worthless.

Citation for legal liability Crowdstrike has?

Re reputation - I've read this about all sorts of annoyances that had real economic impact, i doubt this will make crowdstrike worthless any more than:

* MS became worthless after Code Red or Slammer or any of the other late 90s/early 2000s breaches.

* Apple became worthless after the iPhone that requried you to hold it a certain way while talking

* Toyota became wortheless after the unintended acceleration issues

* Facebook became worthless after screwing up the internet for a day.

* Amazon become worthless after US-EAST went down screwing everyone over for an afternoon (pick a time).

* Norfolk Southern became worthless after the east palastine derailment.

* A thousand others....

This issue wasn't as impacting as many of those - some computers were down for a few hours and it made a mess. It takes a lot more than that to destroy a company or their brand reputation. Look how many people choose comcast- even in areas where there is good competition with fiber from a local reputable ISP.
One malware company gives a gift card for another malware company. Fitting.
It’s junk food. No one is disputing how tasty it is though (including the recent garbage).
And then do the typical parting out and consolidation
A hundred percent. I've said this elsewhere, but a primary problem for at least American society at this point is we don't have a commonly-agreed upon moral system other than the market - things like Martin Shkreli buying drugs people need to live and jacking the price up are Bad, but we don't have a common language for describing why it's immoral, whereas our only real common shared language, the market, is basically fine with it as long as it's legal. A lot of the market logic works fine for society within constraints - optimize your costs, but not at the expense of your workers; increase your prices if you can, but don't be a ghoul about it; lobby for your position, but don't just buy a supreme court judge.
you got us on this. These testimonials are free adaptation of what our beta testers told us. We had only about two dozens of them since 2021. However, we do have thousands of batteries on the field. Has you can see on this post it's the previous version of the pack that is being produced: https://www.linkedin.com/posts/getapony_d%C3%A9couvrez-les-c...
https://x.com/karpathy/status/1814038096218083497

LLMs will start shrinking massively in size soon, without any loss in performance.
Crowdstrike updated the card with a null value.
Not quite enough? The last time I had a "discount" for Uber Eats, it was a $15 meal with so many fees on it that AFTER the $30 discount, I still needed to pay $35. Cancelled.
Synthetic data has to work if we hope to have ML models that can improve themselves in a similar fashion as humans when it comes to advancing knowledge.
Recent and related:

A Gentle Introduction to SAML - https://news.ycombinator.com/item?id=41036982 - July 2024 (94 comments)
Thanks for your comment! Indeed the app (or even the API) is not needed to use it, it’s just for extra features like safety alerts
robots.txt isn't legally binding. Can Reddit really force Bing not to crawl it..?
yes check this out https://docs.gouach.com/fireproof-casing
It is kind of "peer-reviewable" in the "Elon Musk vs Yann LeCun" form, but I doubt that the original commenter meant this.
It feels like the very early days of aviation. But with people now trying to do transoceanic.-
Given the amount of mediocre managers promoted from good ICs, it would be interesting to see if and how they can actually become competent at managing. Maybe playing the games presented in the paper regularly as a team exercise could actually help. There is often not that much feedback going upwards.
I agree incentivization is definitely a big part of the problem, but I think in general a bigger issue is that as a society we tend to reward people who are the first to arrive at a non-null result. This is as true in science as much as in any other area of human endeavor.
My problem was with representing exploration as an unqualified boon. It's not unqualified.
There are some interesting challenges in fine tuning LLMs but this doesn't seems to address them.

I'm not sure if the code samples actually work but they look super generic, and eg it talks about using "accuracy" to evaluate and a test split of 10% in a way that doesn't make sense to me.

An LLM is never going to perfectly generate the same answer as your gold standard answer, so evaluating your model is a challenge on its own that would have been great to address here, but was skipped over in favour of an ad.

Also a lot of the stuff under "why fine tune" seems off. You can do most of that stuff with an LLM directly without fine tuning.

Overall this post looks a lot like the in depth, long form content I usually love seeing on HN, but I am suspicious that it is actually vapourware that follows the form of a technical guide without actually being one (eg written by someone nontechnical or partially auto generated)
Then why not remove this crap (LLMs) from the loop altogether? How did we get from "AI will replace you" to "your new job will be an AIs janitor" in the space of about 12 months?
The models are converging slowly. In the end, it will come down to the user experience and the "personality." I have been enjoying the new Claude Sonnet. It feels sharper than the others, even though it is not the highest-scoring one.

One thing that `exponentialists` forget is that each step also requires exponentially more energy and resources.
Does the community license let companies fine-tune it or retrain it for their use cases?

There are significant restrictions on it so it's not fully open-source, but maybe it's only a real problem for Google and OpenAI and Microsoft.

Open source has turned into a game of, what's the most commercial value I can retain, while still calling it open-source and benefiting from the trust and marketing value of the 'open source' branding.
Which is why they'll keep calling the next few models GPT4.X
People don't quit bad companies, they quit bad managers.
This is incorrect.. the equation represents the number of elements in Nat based on its definition.

Integers could be Int = Nat | Neg Nat. So Int = 2 * Nat. Your logic would presumably interpret this as even naturals.. but ya
> I don't know why people say SAML is complex or hard

This is a position only people with deep knowledge of SAML can take. Once you understand it, it’s not so bad. But most people - including experienced engineers with decent knowledge of various authentication protocols - find SAML pretty impenetrable, and many of the people implementing it are doing so by following a series of documented procedures that they do not otherwise understand.

Source: was a PM for the authentication stack on a big enterprise platform and helped countless customers with their SAML confusion.
Guess what, XWayland exists.
Besides Tuxedo, do any vendors sell AMD Linux laptops with 96+ GB of RAM?
Just remember the CS SEO was MacAfee's CTO that bricked tons of windows PCs in 2010 and that crashed their business, leading to Intel buying them out.
That's kind of like saying in 1999 that Google is really in the business of providing custom search bars to companies' web sites. They were (and maybe still are) providing these custom search bars but they didn't become a separate product because search is "really just one thing". And similarly LLM output only seems unique. Everything a company can do to customize LLM output can be done by their customers as well since it's all "prompt engineering" (simplistic stuff plus some voodoo).
The technology is frustrating because (a) you never know what may require fixing, and (b) you never know if it is fixable by further instructions, and if so, by which ones. You also mostly* cannot teach it any fixes (as an end user). Using it is just exhausting.

*) that is, except sometimes by making adjustments to the system prompt
> Doors at the end of the day are a control transfer primitive.

This is true, but isomorphic to RPC, so I really don't think I understand the distinction you're trying to draw. A "procedure call" halts the "caller", passes "arguments" into the call, and "returns a value" when it completes. And that's what a door call does.

Nothing about "Remote Procedure Calls" requires thread pools or a recv() system call, or an idea of "waiting for a request". Those are all just implementation details of existing RPC mechanisms implemented without a send+recv call like doors.

Nor FWIW are doors alone in this space. Android Binder is effectively the same metaphor, just with a more opinionated idea of how the kernel should manage the discovery and dispatch layer (Solaris just gives you a descriptor you can call and lets userspace figure it out).
> In a park people come across a man playing chess against a dog. They are astonished and say: "What a clever dog!" But the man protests: "No, no, he isn't that clever. I'm leading by three games to one!"
as we manage a lot of batteries in free floating we had fires after some batteries where massacred by users. We worked a lot on the fire issues and if you want to learn more read this: https://docs.gouach.com/fireproof-casing
This is super interesting to me.

Claude Sonnet 3.5 outperforms GPT-4o by a significant margin on every one of my use cases.

What do you use it for?
> … Erlang … inspired by the message passing semantics of Smalltalk.

What makes you think that?
The article contains no proof of theorem 3.1 and finding counterexamples seems trivial. Adult male weight can be modeled by N(85, 20). You can recursively "train" the model on data it generates without having it collapse. It will stay stationary as long as the samples are large enough.
as opposed to anarchists, as opposed to liberals, as opposed to socialists?
Related:

The algebra and calculus of algebraic data types - https://news.ycombinator.com/item?id=17942112 - Sept 2018 (48 comments)

The Algebra of Algebraic data types - https://news.ycombinator.com/item?id=9775467 - June 2015 (40 comments)
For the current game, it seems solvable by providing it the Boxscore and the radio commentary as context, perhaps with some additional data derived from recent games and news.

I think you’d get a close approximation of speaking with someone who was watching the game with you.
With 2x 4090 you will have 2x speed of RTX 6000 A. So same energy per token.

Will need more space, true.
Data in --> slop out.

Slop in --> yikes
Those AI bots would likely to be more intelligent commentors than Redditors
If you need months and months to find them, then something is very very broken in your interviews. I see a lot of workers that would be very good managers and they are never given ANY responsibility, ever.
> I would go as far as to say the person you work for is more important in some cases than the company you work for.

Exactly why you never want to take a job unless you have clarity on reporting lines and speak to your future manager (and also their manager if possible) during the recruiting process.
Why not? Employment can cost a lot. They have 2.5k employees so the base of the estimation is $600K on average. Even if you don't count their equity compensation, their base salary is known to be best in the industry ($250K~$500K?) so $600K makes sense since then the real cost of employment include other various stuffs other than just cashes.
if you move on to the next step you'll see the price (330$)
https://get.gouach.com/reservation
I have been paying for OpenAI since they started accepting payment, but to echo your comment, Claude is so good I am primarily relying on it now for LLM driven work and cancelled my OpenAI subscription. Genuine kudos to Mistral, they are a worthy competitor in the space against Goliaths. They make someone mediocre at writing code less so, so I can focus on higher value work.
Yup! Also applies to cars on intersecting roads especially at odd angles; if it's staying in the same spot in the windshield/side window, one of you needs to change speeds or you'll have an unscheduled rapid disassembly at the intersection.

It's also a real problem for certain intersection angles where vehicles or bicycles with unfortunate timing will be obscured behind the A-Pillar until nearly too late. There was an article (iirc) on HN years ago about just such an intersection repeatedly injuring/killing bicyclists. I once had to seriously threshold brake at an off-angle intersection to avoid a fire truck running a red light, when the timing/speed/distance/angle all lined up to hide the entire truck behind the A-Pillar for a few seconds approaching the intersection.
Thanks for the report! We’re using a third party framework for this pre order site so I’m not sure where the bug comes from I’ll report it!
Meta is giving away the model for free, but running that model is not free at all, and quite expensive instead. At some point it will become the usual discussion pay a service or pay infra resources + devops.
Simple nixos mail server. Under the hood, it’s postfix + dovecot. ACME/Lego to obtain/manage cert from LetsEncrypt.

Might migrate to Cyrus IMAP + postfix in the future for calendar support.
Ok, we'll change the URL to that from https://news.mit.edu/2024/mit-researchers-advance-automated-.... Users may still want to read the latter for a quick intro.
In my limited experience with SAML and OAuth, the best way to learn it is to set it up yourself, I.e. toy app to identity provider and back. It can be a flustercuck for sure.
It could have happened with anything, but instead, it happened because a company run by a guy with a multi-billion-dollar net worth couldn't be bothered to check if the software they were shipping actually worked.
takes two tango. reddit can't do anything without google signing papers as well
You really think people aren't iterating on OpenAI because it's easy and will then look for cheaper alternatives if their apps take off? I will if the economics make sense.
The algorithm I use to get a final ranking from multiple rankings is called "reciprocal ranked fusion". I use the implementation described here: https://docs.llamaindex.ai/en/stable/examples/low_level/fusi...

Which is the implementation from the original paper.
From the article: “A 2022 survey of scientists in France, for instance, found that 75% were willing to publish null results they had produced, but only 12.5% were able to do so.”
> It turns out you _could_ screw them over and they'd

End up with a dollar in their pocket which they otherwise wouldn't have.

The Ultimatum game is a useful insight into human psychology: for one thing, it tells us who thinks that the defector in this equilibrium is better off than a counterfactual cooperator.

Ah, but they have their pride! Ok. My pride is not affected by someone else having 99 bucks they didn't earn, and myself $1 likewise. Maybe that other fellow really needed the money.
Canada. The license requirements are set by the provincial boards. Most of them require a certain level of education, an exam, and work experience supervised by an engineer.

There are still a lot of folks here who will call themselves, "software engineer," or have it in their job title. However the Professional Engineers of Canada has successfully sued people in recent years. Some cases were defended successfully but various engineering boards are appealing them:

https://globalnews.ca/news/10163565/alberta-engineers-appeal...

https://engineerscanada.ca/become-an-engineer/use-of-profess...

Myself, and like minded people, use other terms like "Software Developer," instead. Personally I would like the chance to be licensed but I lack the education requirement and it seems like, in my province, they removed the equivalent work experience route.

Also... these boards haven't been targeting companies lately for using the term and practising engineering without a licensed engineer on staff supervising anyone... to my knowledge at least. Software might be a different world if we were beholden to our profession rather than our employers.
I can see how it comes off as dismissive my bad - it was intended to be a "take such analyses with a grain of salt if you aren't privvy to classified, relevant information".
depends on what one was doing. could be as simple as re-writing a sentence and asking someone if it looks better
Exactly. A preventable action by a company resulted in this. It wasn't a tornado, a hurricane, an asteroid, or aliens from another planet. Crowdstrike played stupid games and now they're going to win a lot of stupid prizes. They're responsible for the harm they inflicted on the world - the amount of handwringing apologia on their behalf is staggering. Companies and the people who run them absolutely need to be held accountable concomitant with the level of harm they inflict.
$600k per employee doesn't sound unreasonable even without a hiring plan, overhead per employee is typically in the 150-200% range putting average pay at 300-400k. At Bay Area salaries at one of the most prestigious places to work requiring a highly specialized skill set that sounds pretty reasonable.
More than a store: How we're evolving Google Play
Constant infighting and most of the competent people leaving will do that to a company.

I mean more on a model performance level though. It's been shown that something trained in one language trains the model to be able to output it in any other language it knows. There's quality human data being left on the table otherwise. Besides, translation is one of the few tasks that language models are by far the best at if trained properly, so why not do something you can sell as a main feature?
It'll be interesting if Cloud vs Crowd emerges as a Mandela Effect.

Other examples include memories of the respective title component of the Berenstain Bears children's books being spelled "Berenstein", the logo of clothing brand Fruit of the Loom featuring a cornucopia, Darth Vader telling Luke Skywalker, "Luke, I am your father" in the climax of The Empire Strikes Back (he actually says, "No, I am your father" in response to Skywalker's assertion that Vader killed his father), Mr. Monopoly wearing a monocle, and the existence of a 1990s movie titled Shazaam starring comedian Sinbad as a genie.

https://en.wikipedia.org/wiki/False_memory
In the long run maybe but it's going to take probably 5 years or more before laptops such as Macbook M3 with 64 GB RAM will be mainstream. Also it's going going to take a while before such models with 70B params will be bundled in Windows and Mac with system update. Even more time before you will have such models inside your smartphone.

OpenAI did a good move with making GPTo mini so dirty cheap that it's faster and cheaper to run than LLama 3.1 70B. Most consumers will interact with LLM via some apps using LLM API, Web Panel on desktop or native mobile app for the same reason most people use GMail etc. instead of native email client. Setting up IMAP, POP etc is for most people out of reach the same like installing Ollama + Docker + OpenWebUI

App developers are not gonna bet on local LLM only as long they are not mainstream and preinstalled on 50%+ devices.
yeah, eventually, but in 01976 uucp was just getting started. even in 01978 i don't think they had a well-defined network map, though they said uucp already connected over 100 unix machines in the 7th edition manual. that post is from 01981

unfortunately 'show original message' is grayed out, so i can't actually see the map
You may be interested in some of the foundational papers exploring game theory models similar to the Ultimatum game[1][2]. These are known as Iterated Prisoner's Dilemmas.

---

[1] The Evolution of Cooperation (https://ee.stanford.edu/~hellman/Breakthrough/book/pdfs/axel...)

[2] Evolutionary Dynamics of Spatial Games (https://www.sciencedirect.com/science/article/abs/pii/016727...)
People are just piling on here and I suspect there is a misunderstanding because this makes zero sense. The article is based on 4 tweets, 3 of which no longer exist. It’s a poorly researched and poorly written article based on largely non-credible sources.

Specifically, “partners” were getting gift cards and there is no mention of customers. It sounds more like they were throwing around gift cards to channel partners, MSP’s, contractors, etc. It’s still tone deaf but a far cry from a $10 apology to customers.
That's when the LLM can respond with multiple functions it wants you to call at once. You might send it:

Location and population of Paris, France

A parallel function calling LLM could return:

{
"role": "assistant",
"content": "",
"tool_calls": [
{
"function": {
"name": "get_city_coordinates",
"arguments": "{\"city\": \"Paris\"}"
}
}, {
"function": {
"name": "get_city_population",
"arguments": "{\"city\": \"Paris\"}"
}
}
]
}

Indicating that you should execute both of those functions and return the results to the LLM as part of the next prompt.
It can't yet. That's currently what I'm working on.
I am not trying to make something better than those tools, this is more like a TUI version of dfeet or d-spy
One of my soft skills is people logistics. It's obvious to me when other people don't have it, and some days I wonder why everyone else doesn't see it.

If you treat people like cogs you're always going to be disappointed in their output. For the duration of a study I don't know how you could possibly do otherwise, and get disappointing results. You have to know something about people to figure out how to divide the labor so people are generally near their comfort zone but routinely pushed a little bit out of it for purposes of growth.

I'm not even a manager, just a lead dev, but I am what some people might call an 'informed consumer' of management skills.
Though Defense Department went unscathed through CrowdStrike it remains alert
Summary what will happen

> The early stages of collapse typically involve a “loss of variance”, which means majority subpopulations in the data become progressively over-represented at the expense of minority groups. In late-stage collapse, all parts of the data may descend into gibberish.
Nobody has ever done IPC better than Microsoft did with COM/RPC/AIPC. Nobody else even came close. I will die on this hill. The open source world has done itself a tremendous disservice eschewing object capability systems with in-process bypasses.
>really and most of them, contain copious amounts of what is absolutely slop.

I thought that was the allure, something that's camp funny and an easy watch.

I have only watched a few of them so I am not fully familiar?