skysight-inc/HackerNews huggingface dataset:
From a usability point of view, it does a better job than Vanilla ChatGPT however just like chatGPT, it can also actually waste times with false information.

Context: I have a piece of Druid SQL code that a coworker wanted to debug. I asked Phind to help me debug it and provided it all the context. Phind made an assertion about a possible bug in my code and suggested a variation. However when I pressed it to explain the anomaly it went about in circles. When I followed up, it veered off course with an apology and a totally irrelevant answer.

>I apologize for any confusion caused. The SELECT MAX("N_logins") and SELECT MAX(res."N_logins") statements are the same in terms of functionality.

>In the context provided [Source 2], these SELECT statements are not related to the Druid SQL query discussed earlier. Rather, they are related to the limits.conf file in Linux, which specifies system resource limits for users and processes.

Understandably it's just a limitation of the current LLM's resoning abilities, somehting you'd uncover by prompting them to play a game of Tic Tac Toe
Indeed, which is why you can get the Tornado source code off of github: https://github.com/tornado-repositories

However, actually running the code to facilitate North Korean hackers launder money and personally profiting off of it? That's not covered by the first amendment, and I sincerely urge you to not try to find that out in the hard way.
> innocuous memes can be co-opted into symbols of hatred, researchers say.

It's beside the point, but does anybody actually see social studies and the like as "science" anymore when people in them get bullied and silenced and have their careers destroyed if they think or say the wrong thing? When things that go against left-wing beliefs don't get published? When an overwhelming majority of them are on the same political spectrum? After the grievance studies affair? I see it more as a propaganda machinery and after all if you tortute the data long enough, it will confess. I basically just ignore their research whenever I see this sort of stuff.
I recently naturally grew into a management role due to seniority and churn. I cannot wait to get back to becoming an IC again. All these meeting are tiring and unrewarding. Growing team members is pretty rewarding, but I don't have to be a manager for that.
Disagree with OP on giving up control of the code base. You are still responsible for the quality the team delivers and in many companies your seniority will mean you'll still code review. You just no longer have the time to actively steer. Not a nice position IMO
even before this, i've often thought about machine learning methods as lossy compression schemes at their core. llms to me bear a striking resemblance to how my own human memory works - you have to "jog" it with a prompt, the recall is imperfect and it often takes the shortest apparent path to an answer unless you really try to take it step-by-step. and before you dismiss this theory you should consider that 1) during the course of its training the model gets exposed to a lot more information than any human over their entire lifetime; 2) the substrate on which the model runs, is more robust that squishy human neurons.
I've done several dozen technical interviews in my career and approximately 89% of them have felt like the interviewer is walking me through how technical they are.
It's not arbitrary, it's fundamental. And I don't pay for any streaming media platform currently so that point says nothing. I did pay for Apple TV and Netflix before, torrenting shows satisfied my archiving requirements in those cases.
Google's recent LLM agent paper also used ChatGPT.
You did emphasize it was the best result, so it's hard to argue that you selected for it.

Back in 2015 Peter Norvig discussed an analysis at Google that suggested doing well at coding contests was a negative indicator of job performance: https://youtu.be/DdmyUZCl75s

Presumably they do well at these sorts of questions, but that doesn't imply the same actual effectiveness.
We tend to clump all degrees together as if they are all equal. Trust me, a computer science degree from my backwater country of Moldova (which I don't have) is significantly more useless than a degree from MIT (which I also don't have).

On top of that even useless degrees may occasionally help (e.g. when deciding to get certain types of job visas in the US that look at the applicant's education levels)
did they force bankman-fried to give up a key?
No degree and earning more than my colleagues with Masters/Doctorates due to having far more experience than them and having had a head start due to not spending years on a degree.
What gains? When everyone is out of a job eventually, who's going to pay the AI companies?
I think problem is here that they hit antitrust regulators if they start giving ANSWERS instead of links.
I agree. A stopped clock is right twice a day, and that's equally true with these LLMs.
> >worse outcomes long-term

> Contrary hot take. PRC post WW2 traded lives for progress was net good for long-term outcomes.

"You have to break a few eggs to make an omelette."

"One death is a tragedy, a million is a statistic."

"By all means necessary."

"The ends justify the means."

Disgusting.
The Dodo used to walk around,
And take the sun and air.
The sun yet warms his native ground --
The Dodo is not there!

The voice which used to squawk and squeak
Is now for ever dumb --
Yet may you see his bones and beak
All in the Mu-se-um.

Took a lot of time to memorize this in my childhood, sad to see it become obsolete.
this article shows everything that is wrong with using coding interviews to screen people
Great Link!

See also all the other articles on various countries named The Developing Country Industrialization series by the same author here: https://noahpinion.substack.com/p/the-developing-country-ind...
Intel has always made white box servers that others resell, since the days of the quad slot xeon 450MHz
This article offers zero details on what exactly these assets are and where they are at. Why should I believe any of this?

>With the recovery of $7.3 billion, FTX's journey to redemption has begun. The saga serves as a cautionary tale for the cryptocurrency world, emphasizing the importance of robust security measures and due diligence to protect both investors and the broader digital asset landscape.

This sounds like some kind of PR campaign. For an article that mentions "the resilience of blockchain technology and its ability to track and recover lost funds" it's quite ironic that it's also completely devoid of details. One would think that, after this whole obnoxious episode, FTX would want to prove that these $7.3B in "assets" actually exist.

Edit: Just realized this is from that NFT pump and dump site that Horowitz invested in.
Site loads fine on Chrome, I don't use Firefox.
What definition of intelligence do we use? At this point I've seen 30 different versions and none of them are consistent.
> The road to recovery for FTX began when the company enlisted the help of a team of forensic accountants, legal experts, and blockchain analysts to track down the lost funds. Their diligent efforts led to the identification and recovery of the missing assets, which had been scattered across various wallets and storage facilities.
Bitcoin prices doubled?
I did it with a 300 MHz Celeron. You heard me.
Ian’s previous post on the subject for anyone curious: https://news.ycombinator.com/item?id=35386405 (12 days ago, 157 comments)
> The road to recovery for FTX began when the company enlisted the help of a team of forensic accountants, legal experts, and blockchain analysts to track down the lost funds.

This pretty much encompasses why crypto currencies wont work. Most folks cant afford forensic accountants, legal experts.
What aspects of your CS degree made you think you'd hate a career in it?
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> This coining terms of art thing isn't uncommon. Think "brutalist architecture" and remind yourself its "en brute" == raw from the french. It has nothing to do with how "brutal" people think concrete is.

That's not the full story. See https://www.tate.org.uk/art/art-terms/b/brutalism

> The term was coined by the British architectural critic Reyner Banham to describe the approach to building particularly associated with the architects Peter and Alison Smithson in the 1950s and 1960s.The term originates from the use, by the pioneer modern architect and painter Le Corbusier, of ‘beton brut’ – raw concrete in French. Banham gave the French word a punning twist to express the general horror with which this concrete architecture was greeted in Britain.
I'm curious what form those assets take, hopefully the market can support their liquidation.

i.e. it's not 7.3B in n00tn00t tokens, where there's no market depth and they are therefore useless ...

Probably not if they are users funds, I hope everyone who was wronged gets their $ back.
> "Lecturer" is a non-tenure-track position that means you get paid a few thousand dollars to teach a class.

In the US (which this person is).

In most of the rest of the English-speaking world, the majority of full-time academics are "lecturers" (or even "senior lecturers"), expected to do both teaching and research, and a PhD is usually required (but exceptions have occasionally been made). An "adjunct/visiting/associate/guest lecturer" is a different thing, that's generally a part-time or even honorary position, and there are no expectations about research output.

Part of this is because Americans inflated the title of professor to the point of making almost every full-time/permanent academic one, whereas in the UK and Commonwealth professor was reserved for the most senior rung of academics, with associate professor for those part-way there. (For most fields–medicine has a lot more professors, but clinical professor is generally a giveaway they spend the majority of their time treating patients, and teaching and research is a side-gig.)

Although–I wonder if everyone in the US uses the terminology in the same way. It is not unheard of for some university out there to just do something weird which others don't. Not saying that's true in this person's case, but not impossible.
There's a review here [1]. There are unprovable claims, e.g: Innovative memory management, Null Safety, Immutability.

1. https://mawfig.github.io/2022/06/18/v-lang-in-2022.html
> So ChatGPT at least has learned addition.

Or, OpenAI added a calculator function. Furthermore, I would add:

- ChatGPT hasn't "learned" anything outside of what exists in it's model.

- If it is an AI-based response, it's still derived from token-based inferencing.

- One run of asking ChatGPT something is not enough to prove much of anything.

> I'm sure if someone analyzed the network carefully enough they could probably find the digit add/carry neurons.

They will find tokens for 'dig' and 'it', as well as 'add', 'car' and 'ry'. They will not find internalized understanding of the concept of math.
LKY Made His Country Rich, but Something Has Gone Wrong with the System
And yet, still 1000x more useful that whatever craziness Steve Jobs was doing.
Sure, but that's due to Bitcoins implementation. There's nothing inherent to "open" ledgers that prevent them from providing anonymity.

My point is: dunk on Bitcoin all you want. Just don't drag the general idea of permissionless, open ledgers into this mud fight.
This. Killing the sparrows didn't help, but it wasn't the main cause of the famine. It was the same as Stalin's famines, and he didn't try to get rid of the sparrows. It was just a matter of taking away all incentives for farmers to farm, abusing them, and then using whatever food was available as a weapon for exacting compliance in the ensuing famine. Using food as a weapon means making the famine worse. Add to this all the mismanagement that goes with central planning, and there's a problem.
The Developing Country Industrialization Series
Just some? Which ones don't?
I just installed the smart things app.
One of the benefits of a public, state funded university system that I see very rarely mentioned is that it's really good at culling nonsensical degrees because the state has no incentive to keep paying for expensive, useless education.

In Germany tertiary education rate is almost half as high as in Britain yet productivity is vastly higher. The academic system should focus on creating researchers, job training is better provided in a vocational setting. Britain and the US where you have governments write basically blank checks to students which then fund vast university bureaucracies just seem like a tax payer hazard.
One interesting thing is that io_uring can operate in different modes. One of the modes enables kernel-side polling, so that when you put data into the buffer, the kernel will pull the data out itself to do IO. That means from the application side, you can perform IO without any system calls.

Our general take was also that it has a lot of potential, but is relatively low level that most mainstream programmers aren't going to pay attention to it. Hence, it'll be a while before it permeates through various ecosystems.

For those of you that like to listen on the way to work, we cover io_uring on our podcast, The Technium.

https://www.youtube.com/watch?v=Ebpnd7rPpdI
https://open.spotify.com/episode/3MG2FmpE3NP7AK7zqQFArE?si=s...
Have you never signed a consent form? There's numbers on there. Also side effects are literally written on the box. You can read the papers if you like.

Also lots of industries you get paid no matter the outcome.
well with the price of eggs these days that's really impressive :)
Because John J. Ray is the CEO who has been tasked with one thing and one thing only.
Can India Industrialize?
Does anyone else find the phrasing of this article confusing? It seems disingenuous to state "FTX discovers $7.3b in assets" when most of those assets were never lost. As I understand it, they've discovered an additional $0.8b; $7.3b is the total discovered so far. They're still insolvent.
Let her who has not mislaid 7 billion in assets cast the first stone. (I'm sure I have that thumb-drive around here somewhere.)

I mean, yay, this is great news for depositors, but, um, assuming no malicious intent, this is perhaps not a good look for a financial company.

I'm not sure more regulations will help, but it may encourage depositors to be more diligent about who they store their money with.
I am experimenting with SQLite, where I try inserting 1B rows in under a minute. The current best is inserting 100M rows at 23s. I cut many corners to get performance, but the tweaks might suit your workload.

I have explained my rationale and approach here - https://avi.im/blag/2021/fast-sqlite-inserts/

the repo link - https://github.com/avinassh/fast-sqlite3-inserts
Sure, it's excellent. Nothing else is as simple to set-and-forget in my experience.
They’re single because they’re too scared to attempt to pursue a relationship. There is no mystery here, they outline it explicitly:

> The obvious course of action when you are unsure about something is experimentation. However, a relationship isn’t an activity (like a job, hobby, or sport) to try and quit when you don’t like it.

Wrong wrong wrong wrong wrong. Naïve, self-defeating. every relationship is an experiment. and if you try it and don’t like it then you can quit any time.

> Also, if it doesn’t work out, I’m scared of leaving a broken heart in another person.

Yes. That’s the real problem, fear of the unknown.

Better to love and to lose, than to live and to never have found love.
This section was the most helpful to me, how it compares to Go:

https://vlang.io/compare#go
Markov chains also generate text and GPT-4 absolutely isn’t a Markov chain judging purely by its output. GPT-4 is useful.

‘It’s just a bunch of equations’ just isn’t a good argument against this tech.
I've always wondered, do you have some kind of cheat sheet that you read from when you do your reviews on YouTube? Or full on teleprompter? I've always been very impressed by your ability to remember SuperMicro model numbers. Sometimes I wonder how many takes a certain segments must have taken.
Japanese versions use CP932 though, which according to your list would use a font that's not Consolas (MS Gothic in this case).
Cool idea and potentially useful in the future. Yet here I am on expert mode and LLM telling me I'm interacting with GPT-3? I got wary after I caught it lying again. I'm starting to think these LLMs are just not worth it yet. So much time wasted. I feel like a guinea-pig that also gets milked for data...
Quick solution to this is to save a 100% black image in your iCloud Photo Library , and set that image as your Apple TVs screen saver.
I use that in both my Apple TVs and I can listen to music while the screen is completely black. Bonus points is that you get notifications of song changing on top!
I am not sure I agree with that assessment. The author describes a large language model as having unconscious thoughts.
Python “Sh” Module
Yep definitely agree. I grew up in Phoenix and moved to the Bay Area after I graduated. I've come to absolutely adore the density (as paltry as it may be compared to other places) and abhor the environment where I came from. I can finally walk, bike, or train to 99% of things I do day-to-day.

I'd never ever move back to Phoenix, but likewise I don't see myself ever moving to, say, NYC. It goes too far in the other direction and is one of those concrete jungles you speak of.

I really think cities like London and Amsterdam strike a great middleground. Density, but not at the cost of green space.
If you want those people to like you, you have to be relaxed and confident, which means you have to genuinely enjoy and be good at the thing. I like & am good at a reasonable spread of activities, some of which I can even do with friends, but the only ones that bring me new connections are work or work-adjacent. The activities known for meeting people contain nothing I'd actually do for its own sake.

Maybe nerdy people's choices of solo hobbies are downstream of social anxiety or social skills deficits. I've made a ton of progress there in my twenties, and there's no movement in my desire to go dancing or pottery-making or whatever, so I dunno.

I also think there's also some kind of subconscious relationship between social status and taste, such that most people end up with preferences that feel real and also just so happen to help them connect with their peer group. I mean, how is it that so many teenagers become obsessed with the same music their friends do? Music is between me and Spotify, alone in my room at night. I go to a concert & see people there who look like me, but not a single acquaintance in my Facebook social graph would have the artist in common (even back when that was a thing) so who am I going to invite?

I won't sit here and pretend to have totally authentic and uninfluenced preferences. But the ones I can trace, I trace to like, my dad. Or Hacker News. Seems like that mechanism misfired.
If you watch the Peter Norvig link you shared on YouTube he actually interprets the phenomenon quite clearly: the statistic reported is only true for the subsample of people who get hired and absolutely not true for the general candidate population.

(Personally I would add that human measures of “job performance” can also be quite subjective.)
The browser does follow your settings, and it doesn't necessarily directly tell the website what's going on. The problem is that the website can observe a lot of things indirectly.

For example, with the dark mode/light mode "attack", the browser will download the necessary HTML and CSS in as unidentifiable a way as possible, but then it needs to render that for your machine. But the CSS file might contain a media query line that says something like "if the user wants dark mode, load this dark image as a background for this element". And to correctly respond to the query, the browser then needs to send another request to the server to download that image, that effectively indicates whether the user is using dark mode or not.

This principle can be used to detect a lot of your user settings. For example, your zoom level will effectively change how wide the browser window appears to be from the perspective of a CSS file*, which means that it's possible to use more media queries to detect that. Likewise a lot of accessibility queries like prefers-reduced-motion, while really useful for many people, can be used alongside other information to create your unique browser fingerprint.

This is just with HTML and CSS. If you add Javascript to the mix, it's even easier to fingerprint you based on various settings.

* there are technically other ways of performing zooming that wouldn't necessarily be visible, but they have poor usability. For example, you could have the classic PDF-style zoom where the PDF is rendered in a fixed size, and the user simply views a small, viewport-sized portion of the file. But this is a pain if you want to read text that's wider than your screen, because now you need to scroll back and forth. The browser approach allows text to be reflowed to match the viewport width, but this reflow will always be observable, and therefore can always contribute to a fingerprint.
>Disgusting

Yes, but effective. Manifest some destiny. Future generations reap reward. All of sudden it's 5% bad and 95% good. Maybe 10% bad and 90% good during periods of introspection. The sins of founding father(s) are easy to cleanse.
Oh sht, better cash out my n00tn00ts before these guys
I'm definitely on the side of walkable and safe streets, but I guess I'm interested why you think drones would be a better option than delivery vehicles, or that they would deliver on the promise of a car free future?

Drones are loud, and it can't be avoided (they need to move air to provide lift, and doing so creates vibration - I.e noise). Cars are definitely loud but not on the scale of a swarm of drones.

Drones don't have the cargo capacity of, e.g. a moderately sized van.

We don't have the traffic management policies for low air traffic, and we do have those policies already for street traffic.

Most importantly, deliveries don't account for the majority of traffic: in fact, most commercial deliveries happen at off hours for traffic. If you eliminated deliveries in cities, you may get rid of some annoying double parked Amazon vans, but you wouldn't meaningfully reduce traffic. The majority of traffic is people in personal automobiles (usually one or two per several ton SUV).

We get walkable and safe streets by changing our building codes and parking requirements to make walkable neighborhoods legal to build. And by building useful public transit, at a local and regional level. And by incentivizing personal mobility options like (e-)bikes and scooters, while disinventivizing cars. But delivery vehicles, along with work trucks and vans: I have no problem with them staying exactly as is. If we get rid of the vast majority of personal vehicle traffic, then commercial delivery vans will be no big deal, and small deliveries will happen via ebikes and cargo ebikes. No need for drones!
It clearly has emergent properties which make it emulate smartness at the very least. A bit like a game which "just renders 60 images per second" is just an image generator but also a simulation of some aspects of reality.
Predicting the future is pretty hard, especially when people are still inventing it. Debating GPT-5's capabilities is like arguing over whether Batman or Superman would win a fight. GPT-5 doesn't exist yet! It's not real. Why go there?

The article is (mostly) about GPT-4. Understanding what we actually have is more useful in the short term.