skysight-inc/HackerNews huggingface dataset:
I'm not the GP but was one of the first engineering hires in a startup. In my case I got caught in the cross-fire of one of the co-founders backstabbing the other which meant that by the time we closed the series A I had been diluted by 80%. To 'make this up to me' the company gave me a new grant that would counter the dilution. The downsides were that this restarted the vesting clock and the new options would cost a year worth of savings to exercise - this was much more than the few hundred dollars my original grant cost.

Fast forward four years of toil with multiple cycles of doubling and then halving headcount as well as endless leadership changes. We are now on our fourth CTO in as many years. On the upside things are starting to look up! The newest sales team have worked out how to sell the original product we built, not the bells and whistles we pivoted to on the wisdom of the overpaid CPO. We can now celebrate as we have about a year's worth of runway and can confidently project being cash flow positive in about six months.

The new ex-FAANG CTO earning three times as much as anyone in the original team has great news! As a result of the positive development we are now able to hire an extra development team in South America! This shouldn't cost us too much and they can start on the next greenfield effort. The existing developers need not worry about being replaced as the existing team has all of the experience with the money making side of the business, and besides the new devs will be working on a parallel offering anyway.

Four weeks later and we've onboarded two offshore devs. The VCs have demanded we cut our burn rate and my position is being made redundant. I have 90 days to exercise but my options are underwater, both when compared to the funds we raised a few months ago and also the FMV. Essentially to buy them now I would be worse off than someone walking straight off the street.
CVE-2024-30078 windows remote code execution over WiFi driver
I went through exactly the same discussion in my last job search, and was assured that the offer was in line with industry standards. Even if this tiny company somehow became worth a billion dollars, I’d still make less money than if I’d worked as a senior engineer at Google or wherever. I liked the team and I think it would have been a fun job, but not quite fun enough to work nearly for free. I don’t think I’ll ever work for an early startup as an employee.
LLMs literally read all that commentary in training, so they're taking it into account, not regurgitating the top-voted answer from SO. They're arguably better at this than junior devs.
Most of the ARC tasks are intuitive and have one obvious answer. Both on IQ tests and the ARC challenge, people manage to guess what the test writer expects.

For an AI that's more useful anyway. If the task is specified completely non-ambiguously, you wouldn't need AI. But if it can correctly guess what you want from a limited number of obvious examples that's much more useful.
My son even beat me with a better design, which is wobbling and bobbing like crazy :)

https://jmp.sh/s/ARfqurF7BYQExwIQmWXZ
The reason Google is uniquely bad at this is because Google poisoned its own well years and years ago. Google is SEO and SEO is Google. The whole company is inextricable from the concept of ranking based on "what generates the most advertising value and eyeballs", and not "what is actually verifiable, reasonable, evidence-based, or legitimate".

Google banked on those two things being similar enough in the early days of the internet to generate billions of dollars, but strayed so far from "don't be evil" that they no longer see that they were instrumental in pushing the two apart.
> Also why doesn't Lidl sell pita bread?

There's lots of stuff they don't sell, keeping the list of items small is part of the strategy of both Aldi and Lidl. Why pita bread in particular didn't make the cut for Lidl, I don't know.
Hi there. I'm happy to see people are looking at the code to verify the security. You are right about the notes being in plaintext on the client. Otherwise, you'd have to enter a password every time you open the app. The issue I was trying to solve wasn't really trusting my own system but trusting the server and the middlemen.

About the encryption, adding the username+salt prevents the use of rainbow tables by hackers but hashcat mask attack can be prevented by a strong password to make it infeasible. But yeah, if you pick an all lowercase 8 letter password, it can be cracked pretty quickly.

Also please note that, the server doesn't store the hash but hashes it again with yet another salt and stores the double hash. When logging in, the server issues a long token for the client so that the client doesn't have to store the password or its hash anywhere. Additionally, neither hashes are used for encryption and decryption and each note's encryption is salted differently.

edit: I'd love to hear suggestions on how to improve the situation even for shorter passwords.
(sorry about my misleading playful paraphrasing)

The program itself might not get information efficiently to do conflict resolution (or not at all): for example, you edit a file offline and sync, Dropbox and friends wouldn't be smart enough to just append both of a few bytes worth of data that a password-manager controlled service could since it would be aware of the data structure but would just dump both files, and then both on another conflict etc

So I guess it's just not the same type of sync service that you get for free in those many services

(also I think it's more than a sub-Mb, you have icons there, but also images of docs and what not)

Though maybe this is not an issue as you mention some of the keepass-based apps that go the "app-sync" route instead of manually placed file?
> Some sources say 3x to 4x the cost of lithium-ion batteries, at least initially.

If that's true, that's miraculous. Given the order of magnitude reduction that will come with economies of scale and commercialisation (as we've experienced with Li-ion), they'll be cheaper than Li-ion in no time.
It's just Bayes theorem - there are basically two variables that control how strong the evidence is:

* How likely you think AGI is in general.

* How solvable you think the problem is, independently of what's solving it.

In the cases you've brought up that latter probability is very high, which means that they are extremely weak evidence that computers are AGI. So we agree!

In this case the latter probability seems to be quite low - attempts to solve it with computers have largely failed so far!
Show HN: Blog para Viajar por el mundo barato
Traveltheworld es un blog hecho con la intención de compartir y ayudar a otros viajeros a través de nuestra propia experiencia, a la vez que creamos un lugar donde poder recordar siempre nuestros viajes. Intentamos dar toda la información posible de una manera breve y concreta, viajando barato y por libre, en cada lugar que visitamos. Seguramente no seremos el blog más completo, ni el que viaja más barato, tampoco lo pretendemos.

Sigue nuestras aventuras viajando por el mundo, con o sin nuestra mascota Willy, en dónde explicamos qué hacer, dónde dormir y qué comer de cada ciudad que visitamos. Unete a nuestro viaje !
> a shortage of waitstaff, the pay is at least marginally better, and it should be much lower stress

Travel perks. If you're young, it can be a vastly more-rewarding experience.
How many homophones could emerge from this?
Seems timely given that SnagIt has moved to a subscription model of £37 per year.
Depends on the options available to the candidate. Typically someone joining a startup very early probably has the skill to get FAANG salaries with less stress and more free time. There are also hundreds or thousands of mid size companies that pay very well nowadays, its not just FAANG.
Gemini: "Hey, don't diss it till you've tried it ;)"
Founding “CTO” might be more suited to a “Head of Research” role as the company grows beyond a few engineers.
The original article-source was submitted [0][1] (19+3 points) but, flagged

[0]: https://news.ycombinator.com/item?id=40651701
[1]: https://news.ycombinator.com/item?id=40652549
Carmack is definitely someone who was determined -- and quick.

When Carmack was working (I think on Quake), you could follow his todo list, which he kept stored in a .plan file on his server. If you used the Unix shell command "finger johnc@idsoftware.com" command, it would send the text of that file. It was pretty amazing to watch him crank through his tasks in near real time.

The texts are archived here: https://github.com/ESWAT/john-carmack-plan-archive

He is also pretty good at poker, apparently: http://www.ntk.net/1998/02/13/?l=114#l
TextGrad: Automatic "Differentiation" via Text
CVS Generic Drug Recalls Expose Link to Tainted Factories
In the whole area I live it's changed to 20mph. It's very hard to get used to, so I use cruise quite a lot and satnav everywhere.
Recently got away from really unlimited Verizon 4G when they kept upping the fees and nonsense to the tune of $200/month. Spectrum unlimited is really cheap for BYOD, does 5G UWB, and rides the coattails of Verizon. And, unlike Verizon, gives tethering and wi-fi hotspot sharing for free.
I guess the problem is that for the lazy, the ability to generate slop has accelerated significantly through the advent of AI. Slop creators have been disproportionately empowered by AI tools. People who create quality content still benefit from AI, but not to the same extent.
See my response to the other commenter. In these cases as well I would conclude it's very weak evidence of AGI, so I don't think we disagree.

Edit: I think maybe the disagreement here is about the nature of evidence. I think there can be evidence that something is AGI even if it isn't, in fact, AGI. You seem to believe that if there's any evidence that something is AGI, it must be AGI, I think?
> this would be mix of some of the real defects (but not all of them) and a totally fake defects which do not actually need fixing

... and real defects that you never noticed or would've thought of.

> This is not going to help junior developers figure out good from bad.

Neither is them inventing fake defects which do not actually need fixing on their own. What helps juniors is the feedback from more senior people, as well as reality itself. They'll get that either way (or else your whole process is broken, and that has zero to do with AI).
ARM torpedoes Windows on ARM: Demands destruction of all PCs with Snapdragon X
"Patrie" is "Fatherland", not "Patriotism".
A massive thanks for the wonderful feedback, I am going to work on all the changes suggested.
Fully agree. There's so many people who succumb to "not invented here" and then run blindly into solved issues.

I keep repeating the story, but in 2020, I surprisingly got #1 on the MPI Sintel benchmark for optical flow in the category "Clean EPE matched", by re-implementing a 15 year old paper. (And replacing their approximation of a quadratic solver with actually using a quadratic solver.)

That said, I feel like it's not just machine learning which is flooded with useless preprints. It's the entire internet now. When I wanted to look up some context for quaternion math, it was surprisingly challenging to find something a bit more in-depth than motivated amateurs who try to sell their self-published ebook and/or Udemy course. No, "np.quaternion" is not a mathematical formula. In the end, it was easier to dig up my old paper book, which had a nice A4 overview page with all the relevant formulas.
My condolences for your loss. May his memory be a blessing.
One of those Bugs a Software Engineer lives for
Could existing substations even come close to that kind of load? 8 cars recharging at MW rates would saturate most substation transformers in my area.
Prevalence of microplastic contaminants in general human seminal fluid
If that's the only thing LLMs are good for, my money for improving software productivity is in good old fashioned developer tools.

A better language reduces boilerplate. A better compiler helps you reason about errors. Better language features help you be more expressive. If I need to spool up a jet turbine feeding H100's just to decipher my error messages, the solution is a better compiler, not a larger jet engine.

I myself have noticed this: a wild heterogeneity in the types of tasks for which LLM are helpful. Its appearance as a silver bullet withers the closer you get to essential complexity.
Ok then you're not really giving up much with data-first and are gaining benefits.

Rye has an interesting approach with the * syntax to allow injecting into the second argument for op-words:
https://ryelang.org/meet_rye/specifics/opwords/
Pokémon Booster Pack Simulator
> the only eval which measures AGI.

That's a stretch. This is a problem at which LLMs are bad. That does not imply it's a good measure of artificial general intelligence.

After working a few of the problems, I was wondering how many different transformation rules the problem generator has. Not very many, it seems. So the problem breaks down into extracting the set of transformation rules from the data, then applying them to new problems.
The first part of that is hard. It's a feature extraction problem. The transformations seem to be applied rigidly, so once you have the transformation rules, and have selected the ones that work for all the input cases, application should be straightforward.

This seems to need explicit feature extraction, rather than the combined feature extraction and exploitation LLMs use. Has anyone extracted the rule set from the test cases yet?
Spray inside a paper bag and breath into it. Never seen It's always sunny in Philadelphia? That's how Charlie composed his musical Day Man...
Many, many cheap MCUs have peripherals that can decode quadrature in hardware. E.g, PCNT on ESP32, timer modes on STM32 etc. Might as well use PIO to implement I2C or UART :)
Sure, in startups that don't grow.

In startups that experience internet growth, you find yourself trying to build systems so fast and hire people that you aren't so worried about someone replacing the job you used to have because the nature of your job is changing as the company scales.

And if the startup is not growing, you can stop worrying about the equity package
I wonder if placing the perfume department at the entrance of some large convenience stores also serves a similar effect (additionally the islands with luxury goods in your way also makes the other part easy to implement as well). The smell alone, however, always makes me dizzy and I tend to hate entering, now I see it with a slightly different perspective.
The disconnect between laypeople and research is often compounded by the stilted language, undefined terminology and related knowledge assumptions, underspecified details, and incomplete presentation of code or examples for independent reproducibility.

Research papers, to be maximally reusable and future-proof, should prefer to present information in as plain English as possible and commonly-used mathematic terminology and symbols rather than obscure forms where possible. Using big words (or Latin) doesn't add profoundness, but they can add artistic flair in other contexts where elucidation isn't the goal. ;-)
SEC Charges Founder of AI-Powered Hiring Startup Joonko with Fraud
Do you know whether someone has made an estimate based on the history of actual vulnerabilities of how much rebuilding would need to be done in a non-shared library approach?
Correct.

And every graphic programmer worth it's salt had a copy of "Computer Graphics - Principles and Practice" on the desk and followed whatever came out of the "Graphics Gems" series.

We knew about BSP, Octrees and all that stuff. It was common knowledge.
CA lets your kids inherit the tax treatment and allows corporations the same benefit. Once you do those things, it’s off in a whole other realm than normal homestead exemptions.

The rapid run-up of home values in the US has led other states to follow, but they generally have higher caps on increases and limit the treatment to your primary residence.
I'd love to have a wysiwyg editor. It's just that in my initial tests I couldn't find one that worked well on all platforms. I'll try this one too. Thanks!
https://archive.is/1GBlt
Most early stage companies turn out to be poor companies for employees. Long hours, toxic leadership, unclear roadmaps etc. Working at a small firm doesn't guarantee high quality.
I don’t know how to reconcile that with the video evidence:

https://images.app.goo.gl/CtJmayDTwVrz9xwi6
This is nonsense. The Saudi riyal is pegged to the U.S. dollar.
If we still had Gödel I think he might prove that any sufficiently advanced intelligence must make mistakes. Just my intuition.
You are stating that languages must evolve "naturally" without explaining why that would be necessary or better. Esperanto was created to erase communication barriers between different groups of people. How is such a goal wrong or "terrible" and how is that not a actual, natural need for people? Also, people find community in Esperanto-speaking groups all across the world, so are these people in the wrong for daring to speak this "terrible" and "technocratic" language?

Not all evolutions of languages are natural and thousands of words were just invented. Shakespeare straight up invented hundreds of words, and some of them, like "lonely" and "lackluster" are still used to this day, because those words are cool! If it was okay for Shakespeare to invent words (considering that you probably use the words that he invented), why is it wrong for the creator of Glish to do so and why does Glish deserve to be "hated"?
The A in AGI stands for artificial, so a human+LLM system would not qualify as it has a natural, human component. That doesn't mean it's not an interesting topic, or that it won't help humans discover our world better, it's just the wrong label. Remove the human and you'd just have LLMs talking nonsense at each other. It's not surprising that you get an intelligent system when you include natural intelligence.
The caveats were exactly as I described and were entirely reasonable, but the US had a hard on for a military invasion and was not about to be stopped by such a trivial thing as due process.

Your idea that he should be handed over without question for trial does not follow any legal logic but is simply the logic of an imperialist.

The same logic is what led to the Hague invasion act, Guantanamo bay, the imperialist invasion of Iraq and, of course, the various attempts to push NATO further and further up against the more vulnerable parts of the Russian border.

As I said before, a Putin supporter would have broadly similar views to you - in reverse.
Isn't this just a form of the https://en.m.wikipedia.org/wiki/Doorway_effect where you forget things when you pass through a doorway?
> Sure it is, just like a child or someone not very good at reasoning.

That's a good way to think about it. Treat GPT-4 as having mentality of a 4 year old kid. A kid this age will take any question you ask at face value, because it hasn't learned yet that adults often don't ask questions precisely enough, don't realize the assumptions they make in their requests, don't know what they don't know, and are full of shit. A four year old won't think of evaluating whether or not the question itself makes sense, they'll just do their best to answer it, which may involve plain guessing what the answer could be if one isn't apparent.

Remember that saying "I don't know" isn't an innate skill in humans either - it's an ability we drill into kids for the first decade or two of their lives.
DevToys now available for Linux – Swiss Army knife for developers
There's an awesome series on Australian ABC (our BBC) called "Gruen Transfer" about advertising.

Covers the techniques, explains campaigns, analyzes ads etc.

https://iview.abc.net.au/show/gruen
OIL RIG: oxidation is loss, reduction is gain (of electrons). So an electron donor would seem to facilitate reduction.

My chemistry-fu is very weak, though, so take with a pinch of NaCl.
Transformer models perhaps?
So you either you are neglecting your kids, or you are calling work at building legos with your kids?
The AI should be required to cite the source. But that wont work for LLM though as they are just random words put together in a way that is statistically probable.
Show HN: I made an app to learn from YouTube videos without watching
I found ChatGPT summaries of youtube videos, too concise, and I'd not end up retaining content. And learning/infotainment videos too long.

So I made a free tool that helps you schedule readable snippets from the video that helps you learn much better than summaries.
New Litephone 3 has a camera and will ship January 2025
Pentium arrived at the same time as Doom, but wasn't something you could reliably target as your minimal requirements until Quake, and even then it was controversial a bit.
My bad; I should've known better from « Allons enfants de la patrie » !
The "it can only get more better with time" proponents would do well to learn about diminishing returns.
Spectacle from KDE and Flameshot both really good .
Had the same idea from 2004 to 2010 at T-Mobile in Europe before they were bought out by VC. They just canceled the plans and switched me over but due to their special "after 6 years you triple the data and call volume and it never expires" I had booked enough minutes (which were exchangable for data on the new plan) to have free internet for another two. Of course the new contracts all had expiring minutes as soon as they figured that out.
It depends on the role and company, if you want to get paid 200k per year for the opportunity to do X - then sure. In practice, you may end up doing basic work at a lower quality than a large firm. Such experience doesn't translate the up-leveled title to a more standard position.
I would love to read this in transcription. I find my attention span for videos is less than for text. Does anybody have any other info on this topic?
No it's not CRDT. I opted for something far simpler:

if (a.modification_time > b.modification_time) ...

that's all. Like some other features I originally planned to implement CRDT but then realized I don't miss it. Since this is not a collaborative editor with multiple users editing the same note, CRDT is not that useful. I think the only situation in which you'd want CRDT for a private note taking app is if you're editing the same note from multiple devices while all are offline.
I absolutely love how good the voices are in the VCTK-VIS dataset (109 of them!). I found it easy to install Coqui on WSL and it is able to use CUDA + the GPU quite effectively. p236 male and p237 female are my choices, but holy cow, 109 quality voices still blows my mind. Crazy how you had to pay for a good TTS just a year ago, but now, it's commoditized. Hope you find this useful:

CUDA_VISIBLE_DEVICES="0" python TTS/server/server.py --model_name tts_models/en/vctk/vits --use_cuda True

def play_sound(response):
#learning : you have to use a semaphore to serialize calls to winsound.PlaySound(), which freaks out with "Failed to play sound" if you try to play 2 clips at once
semaphore.acquire()
try:
winsound.PlaySound(response.content, winsound.SND_MEMORY | winsound.SND_NOSTOP)
finally:
# Always release the permit, even if PlaySound raises an exception
semaphore.release()
I dunno, nonce means number-used-once, it should be kinda obvious that it should be used only once?
Or that RAM is practically endless now. I still remember when I was reading an old pattern recognition paper and they dismissed one simple, elegant solution as "obviously impossible" because they estimated it would need 10485760 KB of RAM. We then bought a server with 128 GB of RAM and shipped their impossible approach in production :) where it's been running nicely for 9 years now.