skysight-inc/HackerNews huggingface dataset:
Hebbia AI | Senior Fullstack/Frontend Software Engineer | on-site: SoHo NYC | Salary: 150k - 200k + equity

Hebbia AI is building the first LLM-native productivity suite. Last year we raised a $30M Series A led by Index Ventures and have seen exponential growth in ARR over the last 6 months. We're building out the Product Engineering team and need a true visionary to join our mission to revolutionize the future of AI powered productivity tools for knowledge workers.

Who Are We Looking For?

- Expertise in React (4+ years)
- Passion for UX/UI and Component Design
- Interest in LLMs or experience in LangChain is a plus
- Team Player & Innovative Thinker

What's Offered?

- Work on cutting-edge AI tech at a well-funded startup in NYC.
- A dynamic and fast-paced environment where your work makes a real impact.
- A culture that values compassion, readiness, cogency, and running hard.
- The chance to be part of a world class team shaping the future of AI.
- Competitive compensation package: 150-200k salary + equity (depending on experience)

Where to Apply: https://boards.greenhouse.io/hebbia/jobs/4296457005

Contact: Email: scott@hebbia.ai Company Website: https://hebbia.ai/
We find a dead person with no ID. Only a computer cares who they are?
> Why use some new / esoteric language that an LLM doesn't know much about [...]

Rust is wildly easy to generate (idiomatically so).

I've been building in our Rust monorepo without LLM tools for years and just tried them out yesterday -- I was utterly blown away.

Rust might become more popular with LLM accessibility.
Inspired by OCaml? That rings a bell.

How's this for something pulled from the archives... when I was studying OCaml I saved a link to the presentation where the feature was introduced into that language :) https://youtu.be/DMzZy1bqj6Q?t=45
that's middlecase, isn't it? that's basically the system Cyrillic uses.
I completely agree with that. It really comes down to having the right skills as a QA person. If you don't know how the product is used and only click on some buttons, you will never reach the states in the software that real users reach and therefor you will also not be able to reproduce them.
It makes good sense for large distributed deployments.

One page to update everything rather than have to connect to each device and push a config.
The controller also "back-ports" the configuration as appropriate for a given device. Declare a vLan once, don't have to worry about which cli version is running on a given switch and adjust your command accordingly.

These things don't matter much when you only have one physical location / few devices but if you're an IT guy that manages networking across every physical building in a school district...

Since the device tries to phone home, it's also a NAT buster which is invaluable when you're drop-shipping equipment to customers and have little control over your environment but need to be able to promise some level of functionality.
Privacy is a new-age luxury that causes more problems than it's worth. I know this is unpopular, and I'm not justifying the abuse of information, but it changes nothing about the fact that we are by-and-large a social species, and being able to positively identify someone would likely have more benefits than drawbacks, because our society is organized around the idea that we know who we're working with.
I can imagine Steve Ballmer say something like that about Linux
Commercially produced bagged potato chips more or less never were, I don't think? I don't think you'd get a very good product if you fried them in lard and then put them in a bag for a year.
AMD/Intel/Khronos are free to compete with something better. NVIDIA isn't preventing them from doing so. And in that regard, CUDA is a massive benefit to consumers, because the alternatives are really bad.
Don't be on the naughty list, add a `sleep 2`
I haven't used it personally, but my understanding is that AMD/ROCm-accelerated backends for PyTorch overload the "cuda" device and module so that ROCm shows up as CUDA for feature testing. They want to make a transition seamless, and lots of existing code checks for CUDA, so they do what's necessary to make that existing code run.
iCloud with Advanced Data Protection turned on is the only one I know of. And it’s obviously Mac only.
every side has a story to tell. a story without emotion is not worth telling.
What does the COP28 deal to 'transition away' from fossil fuels mean?
In my company the engineering team mostly writes unit tests. Then there was a weekly manual QA exercise where the oncall engineer followed a checklist with our actual mobile app on an actual phone before it went to the store. When this started to take almost the entire day, we hired a contract workforce for it. The contract workforce is in the process of automating those tests, but the most important ones still get human eyes on.
There's no voting this wacko out. The lady who keeps shoving these bills out (or onto other bills) is an unelected senator that is there til she's 75 or does some gross misconduct or something.
Intel 'Emerald Rapids' 5th-Gen Xeon Platinum 8592 Review: 64 Cores, Tripled L3
That has nothing to do with being un-educated on nuclear power, but rather a, sadly, common kneejerk reaction on HN where people read the headline and then jump from there to whatever biased conclusion they want.
Here the publication from 2016:

https://jamanetwork.com/journals/jamainternalmedicine/fullar...
I don't buy that this is standard practice in the ML community, and even if it is it's BS. If the basic idea/principle has been published previously but in a different context you should cite it and say why the solution is not directly applicable or has not been evaluated in the current context. Anything else is unprofessional.
No problem.

My apologies for my tone in this thread, as well. Good luck with your learning adventure!
So everything you can't prevent is ok?
One could say that the account which leaked it on Reddit looks completely unreliable but then again the X accounts which leaked the information leading up to DevDay were 100% correct but also had a weird posting history with only very few followers.
Support for Israel is high in the US. 86% among white evangelicals.

https://religionnews.com/2022/05/26/poll-white-evangelical-s...

I can't comment on the level of support among jews as I can't find data.
I downloaded the entire state of Rhode Island so I never really need to use data when traveling. It's fantastic.
Whoa, this whole website is full of cursed reimaginings I’ve never even heard of before. Sounds like I’ve got my winter break activities covered.
Who Would Give This Guy Millions to Build His Own Utopia?
Mistral-7B-Instruct-v0.2
I'm sorry that happened. I wish there was some way to solve the "one jerk outweighs a thousand happy users" problem. I still vividly remember one guy being an asshole about my work on the Wine bug tracker a decade ago, regardless of how many happy users I know there were.
These days it's even easier with VPN and secure DNS.
> The child does not have direct access to the "inputs" of linguistic rules or grammar; they learn primarily through observing and imitating the language output of others around them.

I would argue that that learning is always contextualized by visual and spatial information about the real world (which is what our language is meant to describe). And (equally importantly) the child gets real-world feedback on their decisions - some decisions achieve their desired goal and some don't. Some statements cause certain responses from people, some actions have certain consequences.

> Moreover, the analogy to weather prediction or stock market analysis is somewhat misleading. Yes, these models benefit from input data (like air currents for weather, company fundamentals and CEO statements to the media for stocks). But these systems are fundamentally different from intelligence.

> Intelligence, whether artificial or human, is about the ability to learn, adapt, and generate novel responses in a broad range of scenarios, not just about predicting specific outcomes based on specific inputs.

"Intelligence" is kind of a nebulous term. If all it means is the ability to learn, adapt and generate novel responses, then sure, I think we could call almost any neural network intelligent.

But I would argue that we usually do have some expectation that an intelligent system can produce "specific outcomes based on specific inputs". We want to be able to train a worker and have them follow that training so they do their job correctly.
...why did you decide to start talking about rust out of the blue?

do you need help? are you getting paid?
> Chandra’s study revealed the amounts of different elements produced by the explosion. The supernova has spat out 10,000 times the mass of the Earth in sulfur, 20,000 times Earth’s mass in silicon, 70,000 Earth masses of iron and a million Earth masses of oxygen.

Mind went supernova
"Mathematical discoveries from program search with large language models" (2023) https://www.nature.com/articles/s41586-023-06924-6 :

> Abstract: Large Language Models (LLMs) have demonstrated tremendous capabilities in solving complex tasks, from quantitative reasoning to understanding natural language. However, LLMs sometimes suffer from confabulations (or hallucinations) which can result in them making plausible but incorrect statements [1,2]. This hinders the use of current large models in scientific discovery. Here we introduce FunSearch (short for searching in the function space), an evolutionary procedure based on pairing a pre-trained LLM with a systematic evaluator. We demonstrate the effectiveness of this approach to surpass the best known results in important problems, pushing the boundary of existing LLM-based approaches [3]. Applying FunSearch to a central problem in extremal combinatorics — the cap set problem — we discover new constructions of large cap sets going beyond the best known ones, both in finite dimensional and asymptotic cases. This represents the first discoveries made for established open problems using LLMs. We showcase the generality of FunSearch by applying it to an algorithmic problem, online bin packing, finding new heuristics that improve upon widely used baselines. In contrast to most computer search approaches, FunSearch searches for programs that describe how to solve a problem, rather than what the solution is. Beyond being an effective and scalable strategy, discovered programs tend to be more interpretable than raw solutions, enabling feedback loops between domain experts and FunSearch, and the deployment of such programs in real-world applications.

"DeepMind AI outdoes human mathematicians on unsolved problem" (2023)
https://www.nature.com/articles/d41586-023-04043-w :

> Large language model improves on efforts to solve combinatorics problems inspired by the card game Set.
That really feels similar to genetics.

Early on, people assumed a 1:1 relationship between genes and traits. Some are indeed, but many phenotypes are smeared across thousands of genes in a way that is fully mysterious to us.
In my experience such tests are brittle as hell.
fwiw, when I wrote this reply, the post I responded to said the original title was uneditorialized.
Almost like you should be able to file a 'bug report' or something. Maybe they should build a team to make sure their code quality is up to snuff...
Publicly sharing hashes of video segments as they're created, would validate both the existence of, and unaltered nature of the video.
What i find remarkable is that this place is frozen 8 months out of a year. It takes some special skills just to stay alive there. It's pretty remarkable they found a way to keep themselves heated 24/7 and thrive in that weather 8000 years ago. Nobody wants to live there now.
Weird - I don't drink Diet Coke anymore, but I remember thinking it was flatter than it used to be when I would open a can. I wonder if they're trying to skimp on CO2 or something.
Yeah. I think part of that factoid stems from some modern "ancient looking" Greek scripts used on souvenirs that use angular versions of capital Greek letters.

Some of those glyph variations were used but rarely in that precise mixture that maximizes the angularity look, which seems to have been chosen in modern times to represent "antiquity"

Here's a good table of the many varieties of the early Greek alphabet: https://mnamon.sns.it/index.php?page=Simboli&id=12&lang=en

The latin script derives from the Etruscan script which in turn stems from some of the variety of the early Greek scripts (I forgot which one).

An interesting fact is that the Roman cursive script retained many of the archaic properties of the original Greek script it originates, while the capital letters have been subjected to more evolution.

In particular note the shape of the Roman cursive "m" (with the long stem on the left) and the "a" without the horizontal line.

https://en.m.wikipedia.org/wiki/Roman_cursive
I can see some angry comments here, but so far I have not seen any facts that refute his claims. Once I spent a long time reviewing a related paper on Hacker News, and I think he is right about disputes B1, B2, B5, H2, H4, H5. I'd have to study the others more closely:

B: Priority disputes with Dr. Bengio (original date v Bengio's date):
B1: Generative adversarial networks or GANs (1990 v 2014)
B2: Vanishing gradient problem (1991 v 1994)
B3: Metalearning (1987 v 1991)
B4: Learning soft attention (1991-93 v 2014) for Transformers etc.
B5: Gated recurrent units (2000 v 2014)
B6: Auto-regressive neural nets for density estimation (1995 v 1999)
B7: Time scale hierarchy in neural nets (1991 v 1995)

H: Priority disputes with Dr. Hinton (original date v Hinton's date):
H1: Unsupervised/self-supervised pre-training for deep learning (1991 v 2006)
H2: Distilling one neural net into another neural net (1991 v 2015)
H3: Learning sequential attention with neural nets (1990 v 2010)
H4: NNs program NNs: fast weight programmers (1991 v 2016) and linear Transformers
H5: Speech recognition through deep learning (2007 v 2012)
H6: Biologically plausible forward-only deep learning (1989, 1990, 2021 v 2022)

L: Priority disputes with Dr. LeCun (original date v LeCun's date):
L1: Differentiable architectures / intrinsic motivation (1990 v 2022)
L2: Multiple levels of abstraction and time scales (1990-91 v 2022)
L3: Informative yet predictable representations (1997 v 2022)
L4: Learning to act largely by observation (2015 v 2022)
Most savings accounts pay 5%+ now, I agree that holding your cash under your mattress is not the play, but that's very different than gambling on risky options or even riskier cryptocurrencies.

Your second point makes zero sense - BTC is 40% lower than it's all-time-high, I just looked it up. Other cryptos are much worse.
definitely, definitely, definitely not a spook.
No need for the dumb conspiracy theories, the cars became obsolete.

Combined MPG of 19. 224 horsepower out of a V8. The 3-cylinder turbo Nissan rogue is only short 20HP of that number.

Huge size and weight for a relatively cramped interior. A Crown Victoria is about the same weight as a Kia Telluride 3-row SUV and it is about a foot longer, despite having less interior/cargo space.

The Telluride has a naturally aspirated V6 that gets 291 HP with fuel economy at 22mpg combined in a box on wheels SUV. You can easily find 4 cylinder turbo vehicles that vastly exceed the power output of the Crown Vic’s V8.

So a modern 3-row family SUV is shorter (easier to park), carries more passengers and cargo (40% larger interior volume), gets better MPG, has 70 more hp, gets 20% better fuel economy.

In what universe would you buy a Crown Vic?
Historically yes - uppercases came first. Even when lower cases showed up, the combination key sequence to get the lowercases working was harder so that took more time to catchup
Satire isn't satire unless people understand it. In that case it is just unintelligible.
When I work with new devs I can often trip them up with basic tests of double-clicking, leading spaces, using the back button on Android. They then learn these and from then on these issues dont appear ( well, OK, it might take a couple of times of a ticket being rejected because of these but they do quickly learn all my tricks ) I don't get measured on bugs found so there's no pressure on me to find stupid bugs just to boost my figures.
I noticed this trend a couple of years ago, they called it Shift-Left.

Basically, it was a way to get a developer to do more testing during development before handing over a feature to QA. This sets up the imagined possibility of firing all QA staff and having developers write perfect code that never needs to be tested thoroughly. Looks great on paper...

At a previous company, they started firing all of the manual QA devs and replacing them with offshore QA people who could do automated testing development (Cypress tests). The only problem was that those fired QA team members had significant business domain knowledge that never was transferred or written down. The result was a dumpster fire every week, with the usual offshore nightmares and panicked responses.

Make no mistake about this, it's just a cost-cutting measure with an impact that is rarely felt immediately by management. I've worked with stellar manual QA people and our effort resulted in bulletproof software that handled edge cases, legacy customers, API versions, etc. Without these people, your software eventually becomes IT-IS-WHAT-IT-IS and your position is always threatened due to the lack of quality controls.
Kiwi has historically faked the version number to prevent websites from telling you to update your browser. I would assume that number is not legitimate.
I used to work at a large insurance company with a COBOL core system. I completely agree with this. They paid for people who knew all the undocumented idiosyncrasies and foot-guns in the code. Not just "Knowing COBOL". A decent programmer could read a COBOL program and follow it.

They wouldn't know that the reason the key export fell over when extracting data for your 10K filing because someone had decided/assumed/whatever that a certain record count would never go over 3000, so they hard coded the program to just error out if it went above that value.
And the rest of the money going to social-justice and DEI inclusion related projects, as the whole organization has been co-opted by social justice types.
DirectML: Accelerating AI on Windows, Now with NPUs
You don't need to fight anything/anyone. The code is open source, fork and maintain it. You shouldn't have any issue replacing the "broken vanity project by a minor amateur maintainer", right?
I was surprised by the opposite of this (after entering my first real job at Google, after startup founder => seller.)

People wrote off QA completely unless it meant they didn't have to write tests, but, it didn't track from my (rather naive) perspective that tests are _always_ part of coding.

From that perspective, it seemed QA should A) manage go/nogo and manual testing of releases B) keep the CI green and tasks assigned for red (bonus points if they had capacity to try fixing red) C) longer term infra investments, ex. what can we do to migrate manual testing to integration testing, what can we do to make integration testing not-finicky in the age of mobile

I really enjoyed this article because it also indicates the slippery slide I saw there: we had a product that had a _60% success rate_ on setup. And the product was $200+ dollars to buy. In retrospect, the TL was into status games, not technical stuff, and when I made several breakthroughs that allowed us to automate testing of setup, they pulled me aside to warn me that I should avoid getting into it because people don't care.

It didn't compute to me back then, because leadership _incessantly_ talked about this being a #1 or #2 problem in quarterly team meetings.

But they were right. All that happened was my TL got mad because I kept going with it, my skip manager smiled and got a bottle of wine to celebrate with, I got shuffled off to work with QA for next 18 months, and no one ever really mentioned it again.
It would just be a nice way to turn your standalone WASM game into an .exe (or whatever equivalent) without needing too much extra stuff, like if you wanted to distribute a version on Steam, or offer multiple downloads like itch.io does.

It's nothing groundbreaking. It would just be a nice and convenient, is all.
Did you not get your monthly check from big Oxide? You have to make sure your DeepState Connect account is up to date.
It's badly expressed (and not exactly relevant to the train lockout issue), but no, Copyright as in the american sense does not exist in Poland, and similarly in many other European countries.

That's why we have the relevant legal act discuss separate aspects of "moral" and "financial" "Author's rights" to a creation, instead of just singular "copyright", and why American-style "public domain" does not exist in Polish legal system, or that of many other EU countries (US' style public-domain involves effectively losing all rights to the creation, including moral ones, whereas those are non-dismissible, non-transferable and permament in Polish law).

The exact way things differ would probably require a philosopher and a lawyer to discuss differences of.
> for 2 years already ... All that has happened is they launched a very mid GPU

Hardware development cycles are closer to 5 years. So while he might have gotten some adjustments done on the designs so far, if he turned the ship around it'll take a while longer to materialize.

The software side is more agile, so any tea leave reading to discern what Gelsinger's strategy looks like is best done over there.
This is a great piece. I often observe that this really applies at a high level in general as one of the key elements that demarcates successful / advanced economies from lesser ones : how much is trust a limiting factor on what you can achieve?

If you think about modern society and the levels of trust needed to do certain things : I spent nearly a lifetime of earned income on a house and I completely trusted the agent and bank who facilitated that. Without that trust, the whole transaction wouldn't be possible. Why did I have that trust? These are the hidden value of all those laws and regulations that we often hate so much. As much as anything they create the stable platform for high value transactions to take place. The price of not having them is not being able to access the value you can get if you can successfully execute high trust transactions. There's no way I would gamble my whole life's income if I didn't trust the process. I would have to buy a smaller house.

So AI is playing out along these lines. How much of the value we can access from AI is eventually going to be limited by how much trust we can grant it. Which ironically may derive from how much regulation / legal framework is successfully put around it, which may in the short term slow it down. The self-hosted open source model route is a substitute / fallback for not having trust in hosted models. We can't really pretend that it's possible to self-host a model that will be as good as a hosted one, the scale is always going to be a material difference. But we may be to hit the point where for targeted applications there are diminishing returns, and that may be good enough.
It tastes like puppy chow. You’re comfortable eating the same thing every day for every meal right?
Because it was an anecdote directly relevant to the comment it replied to, which happened to be someone using Rust?

Would you have replied the same way had they mentioned the ability to use LLMs to generate Python? Would you equally imply an accusation of a Python developer of being a shill for mentioning it?
That's a very incomplete comment and it doesn't really relate to this discovery at all. Also, thalidomide is still used today (in the US) because it's a very effective drug.
Discovery of 72-kilometer fault line on Canada's Vancouver Island