skysight-inc/HackerNews huggingface dataset:
Wikpedia lists, by my count, 115 assassinations since Putin effectively assumed power in 1999:

<https://en.wikipedia.org/wiki/List_of_Soviet_and_Russian_ass...>

Several of those are in Arabic / Islamic states (Syria, Afghanistan, etc.), but numerous others have occurred in Russia itself, in former Soviet states, and in independent and Western states including the UK, Turkey, and Germany. A large number appear to be political rather than military targets, notably of journalists and opposition politicians.
You left out:

4. Don't give a number at all. If you are interested in Company X, and you've gone far enough in the process to know they are interested in you, tell the recruiter that you would be interested in seeing a competitive offer from Company X, or something along those lines. At the end of the day, the best negotiating leverage you have is that if Company X actually does want to hire you, at some point they have to commit to an offer. You don't. You can always walk away and go talk to someone else.
That's an understatement. According to that data, the most dangerous cars are infinitely more dangerous than the safest cars (205 driver deaths per million registered vehicle years vs. 0). Even more interestingly, the fifth safest car is infinitely more dangerous than the safest four cars (2 vs 0).

Also note that this is the driver death rate. The death rates for other people are vastly different.

You shouldn't jump to conclusions from the data, either. A Dodge Challenger (3rd most driver deaths) is probably not unsafe per se, it just attracts people that want to take unnecessary risks.

Driving is quite safe on average. In my home country there's 5.1 deaths per a billion vehicle kilometers. That's about one death every 2.5 million hours of driving at highway speed. Many other things carry a greater risk of death.
> This situation isn’t exactly a poster child for the Efficient Markets Hypothesis.

I'm unsure why you're criticizing the Efficient Markets Hypothesis or even using it here, but you need to also analyze this with some time horizon because the market and marketplaces are not static.
Did they control for culture? No? Then we explain this coincidence with "Children do as their parents did"

Similarly, we can claim genetic basis for wanting an education, investing in the stock market, choosing a Chevy over a Ford, going to Gramma Ethyl's at Christmas.
What I really want is a mechanical backlit keyboard without terrible PWM flicker. It's so hard on the eyes. Just regular DC dimming would be ideal.
> am always surprised to hear people who hate interviewing,

Inreviewing is expensive. I think coding tests are a strategy to make it more expensive for a candidate.

Even if you are one of the best, getting a single offer can be full 2 days work - if you count the time spent searching, applying, etc.
Shooting someone down with air defence isn't a blatant assassination?
I think we are talking about different things: first you need to remove the blockers from HR when screening your CV. Certifications will help.
Once you get the interviews you have to train yourself to pass the technical tests, and that’s a different story.
If you want to get real technical expertise about a hot topic and have a good technical interview, I would start collaborating with an open source project that matters in the subject you want to shine.
Regarding “production experience”, I can guarantee you that most developers in large organizations even with a DevOps philosophy they don’t really have production experience (because they are not allowed to interact directly with the environments).
Also be honest with the seniority of the role you are going to apply. Production responsibilities are strongly linked to senior roles.
At 115 deaths that implies very large hands.

<https://news.ycombinator.com/item?id=37242239>
I think the saying goes, sometimes a cigar is just a cigar. And knowing Freud, you know it's not just a cigar.
Decent article.

I feel that "implement LLMs" is an inaccurate description. "Apply LLMs" is more accurate.

Now that we have fine-tuning from OpenAI, there are probably a lot of applications that will now make more sense to use that with little or no retrieval (at least not for core knowledge/skills). Because 3.5-turbo is much faster than 4 and can be sufficiently smart for many things after fine-tuning.

After CodeLlama or any actually smart (comparable to OpenAI) open model comes out, it will probably be a different situation again. If it's smart enough then you won't have to rely on a single company to have so much control over your data and business. The ultimate would be to be able to generate training examples for fine tuning with an open model also.
This is an important point. The bulk of what matters isn't changing licenses. I wish this Terraform change hadn't happened, but in the scope of everything I don't think it matters to the vast majority of people. Unless you're building your product on top of Terraform, it doesn't make a big difference.
Yeah, sorry that wasn't very clear. One option for a partial update is do define a new `Update` struct:

struct Bar {
id: Uuid,
column_1: i64,
column_2: i64,
column_3: String,
column_4: Uuid,
}

struct UpdateBar {
column_1: Option<i64>,
column_2: Option<i64>,
column_3: Option<String>,
column_4: Option<Uuid>,
}

UPDATE some_table SET
column_1 = COALESCE($1, column_1),
column_2 = COALESCE($2, column_2),
column_3 = COALESCE($3, column_3),
column_4 = COALESCE($4, column_4),
WHERE id = some_id;

Or, you just never do partial updates :)
SP2 to be precise, was the best.
I was coming here to say this.

This is far more complicated that the author appreciates.
Doug Burgum is offering $20 to people donating $1 to his campaign. legal?
With one exception, I've never believe the theory that kids learn better,* and I have data, though on a small n. My mum's side of the family is heavily polyglot of necessessity; her parents moved to a new country (where the languages came from different language families) and my grandparents were completely fluent in at least one local language. I also married someone who was not an English speaker and her english is more complex than that of most people here in the US.

The critical factor is use. If you learn a language only in school you don't really use it. Languages I spoke daily as a kid: mostly gone, except English, my daily drive. If you're embedded in another culture you're going to need the language to get by and you'll continue learning.

* For me the exception is accent. Kids learn what phonemes matter and that does seem sticky. But in terms of grammar, vocabulary, slang and semantics, I have not observed those who learnt as kids being any better than those who learnt as adults and used it.
XML may be a good choice to markup the structure and formatting of a technical document.

That doesn't make it a good human readable and writable format.
Lightspeed VC Michael Mignano on Why Apple’s Threats Influenced His Decision To
"So is enterprise conversational BI impossible in 2023? Will there be a few more years of academic papers and company AI hackathon projects before a solution can be deployed in production? We don’t think so." -- from the medium article.

Want to put your attention to https://www.veezoo.com as well. A conversational self-service analytics solution that's been around since 2016 and productively deployed in fortune 500 companies and used by thousands of users daily :)

Congrats on the launch - and also reaching the top of the Spider dataset. We're very familiar with that dataset and its difficulties :)!

Happy to have a chat as well!
Okay, agreed. I ran about 15-20 gens through the site, got mangled feet/legs, disconnected appendages, extra appendages, nudity, nudity imprinted onto clothing, just bizarre stuff.

Tomorrow's "Now", maybe.
I've seen a regular stream of reports on HN about people "sort of" getting AI done on laptops and non and lowly GPU machines. Is it unreasonable or far-fetched to imagine that someone figures out how to efficiently get it all done without GPUs and pull the rug out from under Nvidia?
> I gave an honest floor salary to a company prior to interviewing.

Never reveal what your honest floor is. That's just for you, so you know what is an acceptable negotiation range. Tell them what your expectation is, instead.
Their stock hasn't done well at all.
>TCPO ‘Tug’ Wilson in the weapons room (AKA ‘bomb shop’). Crew members often hug the cruise missiles to stay cool while they sleep.

Is it that hot in the submarine that you have to sleep naked and hug torpedoes to stay cool while you sleep? Is there no form of climate control?

On US submarines it must be much cooler as everyone is wearing thick overalls[1] and even winter clothing in the torpedo bay.

[1] https://youtu.be/UYEyhB0AGlw?si=XfZjsJdPCGMBYyhY&t=369
Life is complex.

It’s not a platitude to say PPE #1 is your mind.

Are you fit to ride? And not in a relative-manner (“I’m the least drunk here!”), but in your own objective sense. If you’re not, then don’t start. If you started, then you should stop—sort of thing.
I always figure that the times when I have 3 bars and yet zero internet are when local leo is using a stingray. You would think cell providers would sue over the disruption of their service.

/i am mostly clue free about this stuff so this post might include erroneous assumptions
Much easier to just up the PWM frequency
Yeah, he likely meant "Nature" requires a mechanism of action.
Neat! How difficult would it be to extend this to SQL like query languages like Hasura and PostgREST (via Supabase)?

- https://hasura.io/docs/latest/api-reference/graphql-api/quer...

- https://postgrest.org/en/stable/references/api/tables_views....

^ The advantage would be, these tools handle authorization.
Weird way to say it. The governments of these modern-day countries are not representative of the people of those regions.

There has been a Greek culture (if not country) practically forever. Saying somehow the Greek people are a new people is just wrong.

That would be like saying China was created in the 1950's. The current government maybe, but not the culture, history, cuisine, etc.
The moniker of "hard" engineering is neither precise nor useful. What makes engineering hard? Is solving problems with distributed systems, even if these systems are for ads, hard? Or do you mean hardware? In that case even Nvidia is not hard enough since they don't fabricate their own chips. Or do you mean designing hardware? Then what makes writing system verilog at a desk hard but writing Python not hard?
Apple Highlights Developer Reactions to Vision Pro Labs: 'Audible Gasp'
How (not) to communicate new scientific information (2012) [pdf]
> Once enterprise adoption of AI picks up, demand for chips will increase 2-3 times further.

Possibly their greatest asset, as an investment, is their crazy high margins. Nvidia in 2023 is where Intel was in 2007, where they could basically charge almost any price because they were so dominant in the market. I remember when E5s were selling for $2000 a pop and data centers were using thousands of them.
A better approach will be to convert the tweet to static HTML, something like what Tweetic does.
Germany, Switzerland, Austria join call for return to budgetary discipline
The prompt for the image you linked says "in sims world". It's in the bottom left field.
A hiatal hernia or eosinophilic esophagitis come to mind. The latter more likely if you have allergies (e.g. hay fever).

You could get a proton pump inhibitor to lower stomach acid production, and/or make sure not to eat too close to bed time.

Have it checked out again, and consider getting a second opinion.
Cool service and I hope you do well. Feedback: it's a little expensive for me. I'd pay about $50/year for a scan every 3 months. I know you want the ARR but I'd also pay $15/scan. Then you could have an opt-in reminder option to remind me again in 1/2/3/4/5/6/etc months.
If you literally wrote the book on the subject, or something similar, they'll probably just create a job role for you.

But that said, not every company is trying to hire the best people. As you note, they're expensive.
I am sure that bytecode representation of shaders will come in a future revision. It’s not a first priority. SPIR-V is a poor choice for portable shaders for reasons outlined by the WebGPU group on multiple occasions. And WebGPU shading language finally goes away with some poor legacy design choices that are still stuck in GLSL and HLSL (such as shader bindings via global variables).

Regarding floating point atomics, I think you got it confused? Metal fully supports floating atomics on all recent devices, while in Vulkan it’s an optional extension. According to gpuinfo database only 30% of implementations support float atomics, and only 10% support more advanced operations like min/max. If you are looking for cross-platform float atomics support, Apple is the least of your worries (what they suck at are 64-bit int atomics though).
I think already a thing?
"Back in my day stalkers had to use their imagination, by gum."
Kids are lavished with positive attention when they make mistakes, because it's cute.
I always started these but always stopped. Instead, there are a bunch of A4 sheets lying around that I've been using over the years!
When we're talking about 500 years ago and say "Greek," we aren't referring to the modern nations. It means the Greek people. But I think with food it's usually an unsolvable mystery which exact culture invented it or whatever.

The Ottoman Empire's own administration did categorize its peoples sorta based on religion and apply different laws to them. The millets were Muslims, Armenians, Greeks, Circassians, and more. These were meaningful designations at least because of how marriage tended to stay within the same religious sect. Besides that, I've heard the closest thing to a national identity back then was the nearest city, rather than the empire. The major cities in that region were ethnically diverse, so some of your culture specifically had to do with your city, while other aspects had to do with your ethnicity/religion.

In this case, baklava supposedly originated in Antep. I don't know what the ethnic makeup was like in the 1500s there, but I'd wager it was picked up by multiple cultures around the same time there (someone can prove me wrong if not). So if you really want to give "credit" to some people for it, I think Antep is the most correct answer, and I don't just mean PC.
Support Engineering [audio]
TL;DR

- Recruiters are not on your side

- Never be the first to volunteer a salary number (or anything else)

Pretty obvious advice, but worth repeating I guess.
What's the biggest LangChain project out there?
It makes some sense to hide it, because they're not just hiding it from you. They're hiding it from all candidates, and a policy of telling everyone (or hiding from everyone) can have an effect on just what sort of candidates they get.

If, in exceptional circumstances, they would pay 30% more than everyone else, they might want to hide this. Instead of saying "we do 95% to 135% of what everyone else offers", they say "we do 95% to 105% of what everyone else offers"... and suddenly they get fewer cranks and weirdos. But they still have the option of offering that 30% more, if they stumble upon some diamond in the rough.

They might want to, even if showing would bring in a few more good candidates. Is it disturbing the signal to noise ratio so much that it takes far longer and costs more to go through the whole process.

Of course, just because it might work this way in theory, it doesn't mean that it does in practice, especially consistently. So, it could be them chasing bad strategy that they can't determine to be bad strategy.

If they have a few more bad assumptions (like "our stated range is still good enough to get the decent candidates"), then they might be even more inclined to hide the range.

They're working through all sorts of bad tradeoffs too, just like you.
The rest was to highlight satire. If you want to understand what “Kropotkin,” is, just Google “anarcho-communism.”
Not the good ones from Antep. They use clarified butter.
This is a nice theory, but doesn't really hold up in practice. For bartering to work, the other party has to hold an interest in what you have, a $1 bill and $1 cigarette are not interchangeable in that sense. If you want to buy bread but the baker doesn't smoke, what good would your cigarettes do for him?
> I would need to print out those words and paste them on the wall and like practice 10 times with a friend playing the role of sneaky recruiter.

This is actually a really fantastic idea. You should absolutely do this.
Just like existence of MariaDB does not prevent Snowflake from being worth $50B, just being good enough on laptop is not enough to replace the need for the cutting edge.
Training is very expensive and requires GPUs. What you read about is running trained model on consumer devices (even phones!).
selling shovels for a few different gold rushes seems to be profitable
Good riddance. A lot of people here defended the living hell out Tornado. Hopefully this will change your mind but somehow I doubt it.
Now I need one to get a raise during a hiring freeze.
That's a sound advice for bonds but jobs are largely not like that by design. It is kind of like dating, and asking for a price upfront makes it closer to whoredom and companies explicitly downgrade you for being in it only for the money. If you want to sell a bond and the other person's price is too low, you don't sell it and that's that. For interviews, you end up spending hours through the interview process and may not even know whether you will end up getting a salary quote at the end of it. Getting multiple quotes is a great idea, but putting it in action is harder than it appears. It may help to go with someone like a recruiter who can disintermediate the process. I've often thought someone like an agent for software professionals could make a great idea. That person's job is to get you great gigs and good prices and she makes a percentage of your salary so is aligned with getting you the best offers.
I overstated the timeline. The providers have minimum required Terraform versions, but I just checked the latest version of the AWS provider and it requires at least Terraform 0.13, which is over two years old now.
Not sure if these should have light brought upon them or stay under rocks.

[2] (NSFW, seriously.) https://undress.app

[3] (NSFW, seriously.) https://porn.ai
For inference I agree! But training requires centralized gradient steps
Metros have them, and in my experience the rear-facing seats are more comfortable, as metros decelerate much faster than they accelerate (or at least in Lille, I didn't notice it as much in three other metros I took).
Yes, some stuff does break, and some categories suck more than others, and sometimes Wirecutter gets it wrong. But I have not seen anyone point to any meaningful evidence that Wirecutter is improperly biased or is anything worse than simply a product review site that does it best but sometimes gets it wrong.
He also had much more information and experience than any of us. Perhaps his decision wasn't that ridiculous from his point of view even though it turned out the way it did.
I don't think Debian uses Terraform much, if at all, but if they do, I think they would start to phase it out.

As for GitLab, it isn't changing to BSL, so they can keep using it.
Speaking of ridiculous captchas, I've just started getting captchas while chatting with ChatGPT. Took me a while to figure out what the hell they were asking, and for whatever reason I'm now getting one of these at least twice per hour. Anyone else seeing these? I'm a Pro subscriber too...
Maybe so; I don't doubt you're correct, but offhand I can't think of how to do it.

If you can see a solution that doesn't require boxing, that could make an interesting blog post, or PR to this crate!
I DO know. It's not comparable. Motorcycles vibrate significantly more than bicycles. Other people are telling you the same thing.
I agree with pwg that postfix is fairly straight forward but to answer your question there are debugging programs that capture email such as mailpit [1] but I don't know if you would consider that to be easier. I have not tried it out yet as I have always used smtp-sink for debugging part of postfix tools. Mailpit has a nifty web UI and claims to process 70 to 100 emails per second.

The reason I suggested Postfix is due to the nature of it being on many internet facing servers and being battle-hardened over the decades and having started off very secure. Anything else should probably be confined behind bubblewrap and AppArmor or SELinux.

Regardless of what tool you end up using consider adding firewall rules to explicitly block outbound SMTP in the event someone finds a way to relay through whatever tool you end up using as a bumper-guard against configuration mistakes and bugs.

[1] - https://github.com/axllent/mailpit
Even easier than taking a course is to ask GPT about the tech and then talk with GPT about the tech. Ask it questions to make sure you understand. Repeat what it tells you back in your own words. Ask GPT to give you a mock interview. You'll learn a little about the tech and a lot about how to sound like you know the tech.
Not an expert but my understanding is retrieval+vector db enables accurate information retrieval, whereas finetuning is more focused on specific task performance and generating coherent text (maybe in a different style) generally.
Top line growing 100% a year, faster recently..... Doesn't take long for $50 bill pa to turn into 1 trillion pa at that rate...
This captures the exact type of problem I have when using Siri for my shopping list.
Apple now supports California’s right-to-repair
> Almost certainly why it's gotten so much investment recently. We've heard various people in business leadership get excited about firing their design and illustration teams. I've seen business owners on this forum talk about how they've shifted to using AI images.

My question was whether generative AI was created with ill intent, not whether there are parties that can profit off of it. You're conflating the computer scientists, enthusiasts and hobbyists (that likely represent the vast majority of the audience here) with business owners and other people whose job is to maximize profit. Back when generative AI wasn't nearly as coherent, only the first group cared much about it.

> these AI models are generating a huge amount of value off of unacknowledged labor, at the expense of the people who made that labor

The original discussion compared human artists to generative AI, so the question here is that, if human artists are allowed to use non-AI tools to do the same thing, what makes AI tools different? Say, someone puts in a lot of time analyzing the works of the most popular contemporary artists, and then becomes capable of replicating their styles, while charging a fraction of the price. Are they in the wrong here?
I'm always skeptical of these poorer language learning results.

It took me 3 years of about 2 hours a day in high school to learn approximately 6000 words in English, my native language. This was in addition to my schooling where I was writing essays and book reports pretty much weekly. Probably 10+ hours per week for history and english. Plus all the interactions in my native language.

That's a LOT of language practice. That's almost 1800 hours on vocabulary alone. Add on 1500 hours for essays. That's approaching 3200 hours which strongly exceeds the amount of time required to gain general proficiency in a Category V language (2200 hours). That's almost 10+ hours per week on top of school hours themselves.

How many people ever put in that amount of effort into a second language? How many people have the time to put in that amount of effort into a second language?
It doesn't really have anything to do with the price of concrete, though. It has to do with the price of carbon. If valuing carbon captured in concrete at $5000 per ton, the equivalent emissions tax on burning carbon is absurdly high.