skysight-inc/HackerNews huggingface dataset:
“No one” uses non-overlay scrollbars though.
I did, feel free to DM. Thanks.
Is it "Google hasn't kept up"… or perhaps it’s by design. I wonder if google has more interest in showing users what it wants to show them vs what we end users may be looking for. At least for me I see this blatantly when using YouTube. It gives about 2-5 decent search results .. followed by a list not even remotely close to my search.
This is incredibly well done. Congrats to the team at Kagi, I was genuinely blown away by the speed and accuracy of the results.
>Why did you ask the question if you thought you already knew the answer?

"Incorrect" referred to "savings are money not being used", i.e. the rationale for your answer, not your answer itself.

>If you think that savings and investments are synonymous then you are wrong.

You just need to think it through a few more steps. For example, what do banks do? They take your savings and invest them. Bottom line is, savings are absolutely, definitely, and crucially not "money not being used".

>the median American has accumulated a measly $6,400 in their decade before retirement.

No, that's not what the number is. The number is savings, but excluding retirement funds. So if I put money into my Roth IRA or 401k, it's not counted, even though that can be just money sitting in a bank account or a GIC, i.e. very straightforward savings.

>Right now, profits are record high while real salaries are shrinking due to inflation (i.e. due to massively raised prices).

Yes, we have a big problem with inflation, and the Fed (and other central banks) are addressing it.
First ever #CardanoServerless meeting happened after Catalyst Townhall was in December 2022.
Listen to the discussion of #StreamCardano.
It really is so terrific. After using it for over a year, I agree with the creator's of htmx when they say that this is how web development would have been if HTML as hypermedia was continually improved all these years.

When you start using htmx, you raise your eyebrows and think - hmmm this could be something interesting. When you use it for many months, you then open your eyes very wide and think - this is something special! In hindsight is so damn obvious, why didn't it happen much earlier?!?!
I thought it was a sign that a candidate has poor cost-benefit analytical skills.

Only half joking
Yeah, that interpretation of the rule change sounds very unreasonable to me. Employees are employees - plumbers, electricians, software engineers, hardware engineers, accountants... everyone's salary gets expensed the same.
Valon | NYC, SF, US Remote | Senior SWE and SWE II Full Time |Base + Equity + Benefits (Unlimited PTO, $400/monthly for groceries)| Python, React, GCP, Kubernetes, Docker | https://boards.greenhouse.io/valon

Valon’s mission is to champion homeowners as the partner they trust with their home and future. Our ultimate goal is to guide homeowners through every step of their financial journey, no matter what life puts on their path.

Mortgage servicing is a counter-cyclical business (which is part of the reason we started this company!) and gets paid a recurring revenue based on mortgage loans outstanding (which doesn't really change even when mortgage originations slow).
We hope to 5x our loan count amount in 2023. Given recent macroeconomic shifts, we're only hiring for business critical roles that will be directly beneficial to our growth.

Teams and Projects: I/O - Reduction reliance on human input by 70% when onboarding by EOY. New Verticals - Ranking infrastructure and predictive modeling for matching consumers with the Valon product that they’d be most interested in. Event and feature engineering pipeline for building a comprehensive view of user characteristics and behavior. Delinquency- Delinquency and Bankruptcy workflows.

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At my company we have the opposite problem, where they doubled the number of titles by creating "plus" levels. So there is junior, junior plus, mid, mid plus, etc. So if you get a promotion, you don't get the full raise to the next level AND you look like a clown when you write about it on linkedin.
> I get to know the group pretty well first.

I think this is a very, very, very important step. What's more, it's a step that I don't think can be outsourced to someone else, which is why I'm skeptical about claims by, among others, the Effective Altruism movement, to be able to do this kind of thing on your behalf.
Probably by usage similar to OpenAI since I assume your costs are correlated (compute etc).

You could do a hobby plan which is free up to a certain no. of requests/tokens per day or hour so developers can start building without any friction (I think this is important and sort of expected as most beloved dev tools do it). You can minimize your costs by offering this on shared resources so inference time is a little slow and API can go down at times when there is high usage but its free so users wont mind.

And then have pro plans for higher usage / 99.9999 SLA / fast inference etc (maybe a min subscription with a pay if you go over per 100k tokens option...similar to Vercel with bandwidth and serverless functions).
wow, it made a succint and understandable summary of one of the most incomprehensible websites ever in like, seconds
Coming soon, and recently discussed: https://news.ycombinator.com/item?id=34622699
Asian Americans as Model Minority: Dismantling the Myth
In all the fields I've tried (software/music/epidemiology/geosciences/mathematics) ChatGPT can mostly explain things at the lay level, but even there often gets things wrong that without more expert guidance, you will not notice.

Experts in each of these areas were consistently better at giving a correct explanation.

ChatGPT is great when occasionally being wrong doesn't matter. It's still pretty good when you can't be wrong, but you're an expert. But in any "no mistakes, I need to talk to an expert" situation, ChatGPT is setting you up for failure.

That's the key part - the information is unreliable/untrustworthy. As long as that is not a problem, it's awesome.

The problem is that it presents wrong data with absolute confidence in a very convincing voice. (Hence people calling it a con artist). It'll become a huge problem as it makes inroads in mis/disinfo campaigns.

(The usual tech problem. Don't let large scale interests touch it, and you'll be OK)
Assuming this limit has even been the cause of a vulnerability before: https://lists.gnu.org/archive/html/qemu-devel/2017-03/msg038...
I'm not sure it was that they were random (I doubt he understands RL at that level) he was more offended because as he said "it was in insult to life" and an insult to his disabled friend who has to live with the pain of disability. Putting myself into his mindset or the mindset of my father who is the same age I guess I would probably see it as some kind of cruel experiment as well. I mean, obviously those young guys suffered some embarassment there in that exchange (just look at their faces) as they revere Miyazaki, but trying to put myself in the mindset of someone who is from the era he is from, what he said makes some sense. His last statement that we humans are losing faith in ourselves is poignant.
TikTok is being singled out for having uniquely bad data practices, which is true, but banning a single app won't solve the larger problem. This 1-off is a distraction from Congress's inability to pass real data protection legislation, and will only serve to benefit Reels and Shorts (not smaller competitiors, nor consumers).
> I don't have any credentials really. If I had to be jealous I would be jealous of Carmacks work in id and oculus.

Fair, you come across as jealous of him for something... could be that.

> I am definitely irritated by the fact that he is able to pull 20M in funding. He has been giving interviews left right and center. We are upvoting Altman, sam Harris,Carmack but nobody cares about the actual AI researchers, all academics, who have brought about the Deep learning revolution.

There it goes again. Fame is fame is fame is fame. Like I said earlier. That's just how it works. No reason to be against someone for being famous for their non-academic accomplishments if they have something valuable to contribute.

> Your comments about academic bubbles and researchers gives you away. All of the revolutions in AI have been brought about by the academics inside bubbles you are jeering at. The biggest example of academic inside a bubble is Geoff Hinton.

I didn't jeer at anybody I just tried to give you some perspective about how your comments came across. I appreciate all of the researchers but I also live in the real world and understand that people flock to personalities and front-people. That's not necessarily good, but that's the way it is. Just like nobody gives credit to under-secretary of state for coming up with a great new foreign policy.

Waving around great university A or great company B does not make someone any more right, just like being John Carmack doesn't make him any more right.

In fact I've written very critical comments of folks like Altman here before:
https://news.ycombinator.com/item?id=30750254

> We have to sit here and listen to word salads from Carmack, Altman (Ilya - who doesn't get interviewed is the actual researcher behind chatgpt), Sam Harris etc, who have very little insights making bold AGI predictions.

I agree with you. I never said they were right about AGI. Maybe you should be more generous with my replies and actually think I was trying to give you another perspective about how your comments came across.

> I asked to learn about all the algorithms Carmack invented in computer graphics, but haven't heard back. But looks like he has a good grasp on solving AGI by 2030 according to himself. After all, he is a really great programmer.

Again, you're confusing who he is (go back to my original comment in the thread where you jeered at him because he didn't publish any notable papers). He is not a researcher and he is not really a computer scientist. Engineers don't come up with novel algorithms for the most part. He builds things. And being a really good builder is a different but still valuable perspective. But that doesn't mean he's right about AGI.
I would just find it kind of obvious and weird...

I don't doubt this happens in ways, but just title swapping seems like it would be kinda awkward and obvious.
I mean, we spend lots of time using the legal system to resolve marital and land issues. Ultimately most legal issues are interpersonal issues, I don't see why the perception of a conflict as silly should preclude a judge from helping mediate
It is an anecdote

Saying "This is an N=1 story." is a bit disingenuous

Acting on anecdotal evidence is premature, sure, but no one here is making law, or even policy. We are sharing.

N is getting bigger
Reminds me of a lifeguarding job I had at a private lake club when I was a teen. They let me report and set my own hours. I never abused that trust, but it was pretty strange when my boss explained that they'd pay me for however much I chose to work during daylight hours (the lake was "closed" after dark.) I did end up working a few very long days on holidays for the extra cash.
If someone is looking for some low hanging fruit in the way of contributing to cosmopolitan, they could teach its scanf()[1] family about floats[2]. (May not be as low-hanging as it first appears though, as converting floats correctly is trickier than it might first appear to be. The comments in the code say it can do floats, but the comments are mistaken.)

[1] https://github.com/jart/cosmopolitan/blob/master/libc/fmt/vc...
[2] https://github.com/jart/cosmopolitan/issues/456
It’s never who you want to be polyamorous who’s polyamorous.
A lot like how everyone is an Engineer these days.

Software Engineers that just write CRUD apps, Software Architects who just read docs, Systems Engineers who just follow guides, Support Engineers who just answer phone calls and tickets, etc.

Title inflation has been creeping up for many years. It's everywhere.
Elon Musk's right-wing turn is tanking Tesla's reputation
"Currently, just 13.4% of U.S. adults have a favorable view of Tesla, compared with 16% last month and 28.4% in January 2022, according to survey data released on Thursday by Morning Consult Brand Intelligence. That’s a 15% drop year over year. Driving the decline is Tesla’s loss of popularity with people who identify as Democrats. Just 3% of those adults view Musk’s EV company favorably, down from 10.3% in December 2022."
I do not pay for the Kagi search engine, but it is quite obvious to me that this powerful summarizer will greatly help the search engine, which will soon be able to easily index videos, pdfs, books, etc. and extract the most relevant content from it with ease.
That question is answered quite well in the post you're commenting.
I can't really speak to amazon retail, but in my 7 odd years in aws I found most people left because

* working in infrastructure means doing a lot not quite so exciting things. most people aren't actually excited by ops, and a lot of your dev work will be on ops. its also the case that ops was historically not as well rewarded, though thats been fixed

* every service needs to be held to the highest tier of operational excellence, and so you can't just chabuduo when things aren't working as well as they should. in the worst case, this means throwing bodies to the ops meatgrinder.

* delivery speed is slowwwww. some of this in endemic to the space, but aws at the end of 2021 (when i left :) ) was a lot slower than than when i joined due to so much risk aversion and bureaucracy

* comp wasn't as good compared many tech peers, and comp could very easily not keep pace if you weren't tippy top every year. this is imo the most self-defeating part of amazon culture as a whole because it incentivizes people rated between ~p10-p20 and p50 to leave.
A good analogy is perhaps a config file for a computer program.

My interpretation is that Carmack is essentially confusing a config file for the computer program itself, then saying "look how small it is, this shouldn't be that hard to reverse engineer".
There are short-term issues like capital costs and a need for contracts to be set up first. These things can't happen instantly.

But beyond that, it is entirely backwardness in thinking that is driving the opposition. Many people simply reject the evidence and are convinced that such low costs are impossible. It is a repeat of those who thought wind and solar could never be cheap. They will be embarrassed in the same way too.
>Especially once people start down the path of thinking the needs of today aren't as important as the needs of a hypothetical future population.

It's not that that bothers me so much as the fact that many effective altruists do it so badly. We need to be concerned with the future. That is the only reason to maintain roads and bridges, to prevent pollution, or to conserve resources like water in aquifers and helium. But effective altruists are as likely to talk about colonizing Mars as they are to talk about global warming.

Effective altruism is supposedly about making evidence-based decisions. We have no idea how likely "existential risks" are. We have no idea what, if anything, can be done about them. We cannot predict a year into the future, let alone millenia. So-called longtermism is nothing more than guesswork.
I grabbed a random article in my to read list and it didn’t help me understand the article.

https://tasshin.com/blog/strategy-101/

Lots of words I was unfamiliar with because they were domain specific terms and they were not defined
No problem at all. If we were at a bar I'd say more, but with online stuff the safety margins are tighter because every word is picked over by everyone. It's not just states. There are a lot of mentally ill people out there.

That said, I think others should consider working in this field. The impact is real and I think many HNers would make good agents and officers. So I'm starting to talk about it online and I'm reworking my website and other things. Think of it as continued public service. We (Nato and friends) need good people doing this work.

One thing I should have mentioned is that I'm still working in this area, just not directly for the Canadian government any longer.
I don't feel like you can accurately predict the details 5 years out, and they will probably matter.

My suggestion is if it's not too late, focus on something totally different: effective networking with people and integrating yourself into communities. A lot of success seems to be about who you know, what community you are in and who knows about you and your services or products.

Also don't sell yourself short. Having some Linux and networking experience is more than many young people can say.

Generative AI is the obvious current hot topic as far as a marketable skill. I think it will continue to become even more important to know how to leverage these tools. But also for people to find your products or services you need to be part of their network so people skills are also very important.

I am building a website that integrates multiple generative AI APIs with the goal of being able to replace humans doing basic server configuration, making simple programs, editing websites and generating content for customers.

Within say three years we can anticipate many such systems, some built in yet-to-be created AI systems like more advanced video generation.

Robots are getting better. There will be opportunities for people who build services that train and the rent out robot platoons for different tasks.

We don't know what's going to happen with Neuralink but the rapid approach of AGI may accelerate their schedule. If we get high bandwidth BCI in the next 5-10 years that, combined with AI, creates new types of collective socialization, entertainment, problem solving etc. with their own opportunities.

A job say 7 years from now (maybe 17 not sure) might be "VR Role-Playing Game God" which requires a high bandwidth brain-computer interface. Your job could be to watch advanced magic users in the game who are trying to create new spells, and judge whether they meet the requirements to be allowed and setting some technical parameters for their use. After which the AI would determine whether the spells were invoked properly. The requirements for invocation could even involve certain specific visualizations if the BCI were integrated into the visual cortex.
I know, I wouldn’t give up overtime pay for a Grand Provost or Vice Chief Twit gig either. Maybe for Serene Doge, though.
API writes absolutely generate ad impressions.
this really should be in hn
Unfortunately this is the norm when ML algorithms are at the wheel. Nobody can conclusively tell why an AI restricted an account; they can only guess.

This is why these types of complaints need to be cc:'ed to your congressional representatives in the US or EU representatives elsewhere. No one else can do anything about the root problem of companies that take customers' money and deny any form of accountability.

For every customer who gets lucky on Twitter or HN, there are probably a dozen who end up with no recourse at all.
I try to imagine the standups these people have: "Which industry have you redefined yesterday? Which industry are you redefining today? Do you have any blockers?"
And failing to take a promotion probably isn't a "for cause" reason to deny unemployment insurance payments/claims.
I used the word "allocate" imprecisely. (The plain English description in the README did a good job of explaining the up-front allocation needs.) What I meant to ask:

How does the algorithm stay bounded in memory usage? Is glidesort written in such a way to never use more memory than that? Is the some sort of back-pressure mechanism, when most of the allocated memory is in use, and another operation is ongoing? Basically: when sorting a 1 GiB array of data, how does the algorithm keep from using more than 128 MiB of additional memory? Nothing in the "Technique Overview" section mentions bounded memory use (under n bytes, at least).
If we ever conjure a way to capture the human consciousness and preserve it before death, "AI" will be based on indentured servitude.

The people given a second chance at life will be the ones who are quickest at identifying traffic signals or fire hydrants from a line up of images.
This is a good summary. Most people I knew didn't know and if they knew anything it was only a hint here or there and most assumed I was doing sigint work.
Your point seem superficially valid, but where do we go from there?

>The worst thing about being smart is how easy it is to talk yourself into believing just about anything. After all, you make really good arguments.

>EA appeals to exactly that kind of really-smart-person who is perfectly capable of convincing themselves that they're always right about everything. And from there, you can justify all kinds of terrible things.

Should we not talk ourselves into believing into stuff? Should smart people specifically avoid changing their beliefs out of fear of "justify all kinds of terrible things"?

>I'd love to believe in effective altruism. I already know that my money is more effective in the hands of a food bank than giving people food myself. I'd love to think that could scale. It would be great to have smarter, better-informed people vetting things. But I don't have any reason to trust them -- in part because I know too many of the type of people who get involved and aren't trustworthy.

So you don't trust donating money to food banks or malaria nets because "don't have any reason to trust them", then what? Don't donate any money at all? Give up trying to maximize impact and donate to whatever you feel like donating to?
Perhaps or perhaps not. Turning off a person for long enough and thus depriving them of the chance to live in their own time with their existing family and friends is comparable to murder. It isn't murder, but it's comparable.

At some point Picard in Star Trek says to an alien "We're not qualified to be your judges. We have no law to fit your crime".

Turning off a person for a while and then turning them back on? We don't even have a law to fit your crime... but we should and it's probably quite similar to murder.
Folks with union jobs tend do better then their same industry non union counterparts, in terms of wages, health care, access to sick days, etc.

There is however a third choice, which is government regulation. Unfortunately government regulations can't adapt as quickly as a union can to changes.

Maybe the relatively inflexibility of regulation is what is needed to maintain a minimum necessary commitment to living wages and reasonable benefits though.
fantastic site to create radical groups, post shit and chat anonymously with people
Been my opinion for a while now that any company that doesn't directly grant stocks to employees should be forbidden from using exempt status for those employees. Want them to work more? Pay them.

On the flipside, I have a buddy who is one of the best Java devs in the DFW area who refused to become a manager and threatened to take his talent elsewhere. They carved out entire new levels for his software engineer job just to keep him happy. Before this, they had up to SDE IV. He was SDE VI when he left to join a consultancy when his salary became a concern. The consultancy ended up placing him back at the place he had already been working for because the company suddenly had a huge knowledge vacuum, and they eventually offered him a new position at SDE VII to get him back on the team.
With a couple of necessary exceptions, I don't use websites to store or process personal data, so that's not really the use case I have in mind.

What I have for native applications that I don't for the web is the ability to firewall off the native applications.
i'd (probably apocryphally) heard at announcement it was just s3 under the hood to support customers while they built the dataplane out :)
"But all that code is necessary to make our sites work the way we want."

Yes, but, on the other hand, is it?