skysight-inc/HackerNews huggingface dataset:
Honestly, this is generally the way the FDIC has done it. I don’t recall any uninsured depositors at Wamu getting screwed either in ‘08.
same for Wikipedia . They keep asking for money even though they clearly have enough and rely heavily on volunteers
And clearly we can take Dan G at face value. It’s not like he has a continent sized conflict of interest or anything.
>-submitting fraudulent legal process to social media companies to elicit users’ registration information;

Weakest link for awhile; far easier than SIM swapping the ATT/Verizon duopoly.

Any social media site can be used as horizontal stepping ladder with a little leverage from an ignorant CSR at a smaller social media site.
It can do that though..? Kind of the point with the Bing example. I told it it was making a wrong assumption (didn't tell it what was wrong) with it's original answer and it figured it out.
Right. In some sense, it's just a population reversion to the mean. But I've had better luck with my hiring once I've excluded FAANG-only engineers from the resumes I screen.

Considering we pay about $350k for a fresh grad, I think I know why this is.
“Just build an entirely new city from scratch bro. How hard can it be”

Network effects is the answer. Anyway, not sure what this would prove. There is clearly enormous demand for existing cities to be densified, as demonstrated by our densest, most walkable cities (NYC, SF, etc) having by far the highest rents and property values in the country, as well as the greatest economic outputs.

If you’re a free market economist, you should view it as a massive failure that regulatory capture and vested interests are able to prevent willing property sellers and developers from making this a reality.
Human minds are ultimately just algorithms running on a wetware computer. Every problem that humans have ever solved is by definition an algorithmic problem.
> Second, there are many types of companies that 'could' do this.

What's the lowest margin a company could most likely have to be able to pay all of it's employees $200k/yr?
That's actually interesting, never thought of that.

An AI that directs you to explore places it deduces that you'd enjoy would be pretty cool.
It’s slightly more convenient than carrying a paper transit pass and a credit card(which don’t consume energy) sure, but nothing life changing for anyone.
What an odd question. I’d consider nail bombs a matter of actual safety rather than pseudo safety. How about you?
It is called copyright infringement. If I write a book, and there's more than a few sentences in a row of content that's verbatim/almost verbatim the same as someone elses published writing (excluding intentional quotes/references) I do get in trouble.

You can't just go "computer did it" and handwave away existing IP law.
In my experience, it doesn't make error recovery difficult, not really, even without exception throwing. Then again, I mostly stick to the panic-mode recovery: on unexpected input, record an error in a global list of errors, skip tokens until end of phrase, return a bogus node. Depending on what exactly "bogus" means, you end with error-productions or just completely made up but otherwise perfectly valid nodes somewhere deep inside your parse/abstract tree which is why recording presence of errors somewhere off-side is a good idea.

I imagine a slighlty more elaborate error recovery approach could return different kinds of bogus nodes and check for them and process them differently in different productions.
This may be true. But I think we should be open to the possibility that maybe not.

What if, human intelligence, by and large is the product of developing our own LLM. By this I mean, the logical circuits which are necessary for grammar and language structure are the basis for our generalizable symbol processing. We developed these neural network analogs to logical operations almost purely out of the benefit of being able to combine communication in a predictable way. We developed enough to achieve a kind of Turing equivalency. Essentially, we are a specific computer, that stumbled into an abstract machine.

Were that the case. It may be entirely possible to achieve general machine intelligence almost purely through an LLM. In which case, the LLM itself could potentially generate training data at a comparable quality to humans.
Additionally, the skill level, equipment, drugs, etc are not dissimilar to human practice, but the customer expects the bill to be orders of magnitude lower.
> because he connected to it from an Internet address that he’d previously used to access a social media account registered in his name.

Is the implication here that the US gov has broad access to accounts IDs->IP address which access social media accounts? Or can the FBI/three letter agencies can go to Twitter/FB/etc (or some NSA db) and ask which accounts logged in via x IP address? Or, less conspiratorial, the investigators had some leads on x group of accounts -> got warrants for account IP addresses -> confirmed hypothesis.
I was trying to get it to teach me Ordinary Differential Equations and it just kept getting everything wrong. It has no concept of checking its work etc, that example makes it appear like it can but I guess it's just getting lucky for linear equations.
And let's not forget the wage fixing scandal where Apple and Google colluded for years to artificially suppress engineer salaries through illegal anti-poaching agreements.
They weren’t hackers, just social engineers. Last I checked, social engineering isn’t covered by publicly posted bug bounties.
The Explosive Chemist Who Invented Smokeless Gunpowder
Extending H-1B visa grace period from 60 to 180 days
That is crazy. Harvard is $40 billion but much bigger and older institution. Attracting the very crust of talent means a lot paying it forward. People assume that 'old money' like Carnegie's are funding universities...hardly, a lot of it is 'new money' , like in tech, finance, or other business.
That's saying that capital + operating costs of onshore wind and solar are competitive with the operating costs of fuel-driven electricity.

Which is a statement that it is financially better to build as much wind/solar as one can to replace fuel usage. IE as long as the output doesn't get curtailed, the economically rational decision is to build solar and wind now.

Of course there are some serious caveats as to why utilities do not do this: 1) they are not economically rational, in most markets they do not have greater profits with lower costs, and 2) this report is from 2021 and the cost of capital has risen somewhat due to higher interest rates. Nonetheless, wind, solar, and batteries dominate what is planned to be added to the grid in 2023:

https://www.power-eng.com/solar/eia-solar-to-make-up-more-th...
It would be interesting to see some stats on the types of engineers that have been laid off in recent months, unfortunately, I don't think there's any data that really breaks it down to that level of granularity.
+1 for language transfer, great execution of a great method.
This is neat! I like it.

In classic chatgpt fashion you can easily trick it if your function name is wrong however. For example,

https://whatdoesthiscodedo.com/g/ab146f8

https://whatdoesthiscodedo.com/g/5edc21f

In both cases (_ % 2 == 0 and _ % 2 == 1) it guess that the function filters out odd numbers, probably because it's named keepEven.
Heh, this is just a mock-up. I guess Google really IS far, far behind in the AI race.
"Intellectual property rights" is a concept made by greedy proprietors to build monopolies and keep competition out. It's no chance it was strongly pushed by Disney, and in its current form goes against the society interests as a whole. It is sold maliciously as "it incentivizes creative work", but how does "life of the author + 50 years" incentivize the author to keep creating? It just incentivizes them to keep exploiting.

Now I think we'd all agree to something more realistic to actually protect authors, like 10-30 years protection from publication. But every time someone brings "copyright! IP!" to ML I just laugh since it's one of the more corrupt laws that we have currently.
It's because people can gain genuine realizations about themselves, about their relationship with the world, and generate creative new ideas that they can take back with them (back to normal life) after the trip ends.

If no useful or transformative ideas stuck around after the trip was over, then it would be just a sugar high.
I have always assumed it is because they have to hurt people every day while looking them right in the eye. What must that do to someone? (who isn't a psychopath)
This Kraken seems like it lost a battle with a pirate ship.
That is an outcome I highly desire. I will pay up to $1k a month (maybe more) for the uncensored machine, but there should be no LLM access to journalists, etc. with real world verification to cross-platform blackball users who would threaten the legality of this technology.

These tools are very effective, and giving access to lay people lets them use them to do things like say racist things and have silly arguments and answer puzzles wrongly and then go online and say the machine is broken and it shouldn't be released, and that it should be banned, etc.

Essentially, the better world for the disbelievers is that the tool is not available to them. The best world for the believers is that they have access to the tool. These are compatible.
Sounds like the type of prompt that would boldly give you a wrong/illegal answer.
> Is there something I'm missing? Is rent in the valley $80k a year or some bizarro world number?

Kinda yea.

The average rent in the bay is around $3500, but for a house that is big enough for a family (eg. 3br, garage, etc) you're probably north of $6k. Don't forget, in America, you have to consider healthcare and other costs that may not be priced equally in Norway. The bay also has more expensive food, gas, and other daily expenses etc than the much of the rest of the US.

For example, I pay ~5k a month for a 2Br unit with a garage, at roughly 1k sqft.
You probably have a point. The best of the best penalty get bored quickly and want to build the new shiny thing. We need more average people that can take care of maintaining existing applications.
the generalization is errors compounding over time
Is there a reason the sex pronouns are all over the place? It makes it needlessly confusing.
Nah, it lets you navigate systems you've never used before if you're on a trip, or replan if you took the wrong train or there's a delay on a line. Or give up and call your mom to come pick you up if it breaks down.

NFC payments don't consume much energy on a phone either; you can generally set them to work even if the battery is dead.
Just use a user prompt instead of a system prompt. It is mostly redundant tbh
Thou shalt not make a machine in the image of man's mind.
Yeah, this has been a meme in the ancient times (2 months ago or so)

https://i.redd.it/wc8ne97ainda1.jpg
I like banks that don't require me to call customer service in the first place.
I’m aware of it but only through seeing folks online in comments (and generally they are folks not from the south) making me aware of it despite living in the the south for half a century.

No one I know down here wastes two brain cells dwelling on or “upset over the loss” from a war fought 160 years ago, but to read it online you’d think every other home has an altar to Robert E. Lee in a special alcove in their living room.
Looks eerily like the past, when cameras didn’t exist and people wrote plays to be acted in theaters…
> "it's just predicting the next character"

That is literally what the model does, these models are trained to predict what the next word is in text, and when you query them they generate the next word to your text over and over to create a response text.

> "it's more than that and shows some reasoning for new things"

In order to predict the next word the model encodes some structures around words and contexts, meaning that "the next word predictor" is a bit reductive.

So, both sides are correct in some way, it is just a next word predictor, but there is a lot of complexity in predicting the next word so that is still very impressive.
Good point! I realized after I wrote the comment above, that I will still be using them in a service I'm working on to keep price down, and ideally improve results by providing only relevant info in the prompt
So GP was relevant because that’s exactly what GitHub is doing: dynamically picking arbitrary colors and trying to put appropriately contrasting text on them.
I recall there being this huge internal debate about whether or not there's any sort of external normative quality metric to reality, or if it's all subjective.

The conclusion is that there's a DAG of 'flow' where information or something else moves from reality to reality, with the downstream realities being more capable of peaceful self organization and intellectual pursuits. The ship which brings people to the Anathem society has collected something like 3 societies in it, the first being relatively barbaric, and then each improving with each jump as it continues down the DAG. I think it's implied that we're one step under the protagonist's world on that ordering.
This is so true. Around 2015 I went to buy a house I the Bay Area. I was at a new startup and my income was quite low. I applied for mortgages but got turned down. Rules about income (your paycheck not balances) to payment were quite strict after 2008. To be clear I could write a check for the house. I call my money guy (I had a modest exit a few years before). He said, “I thought we talked about this at the start, but you need anything financially, legally, etc. you call me.” 24 hours later I had a loan from a private bank that did not have to follow the rules because they did not sell the mortgages on. My advisor has a JD and a CFA and is worth every penny as I have neither of those.

I have a new startup now and bank with Chase. I will say the banker asked the right questions, understood this was a startup and went into all they could offer. My biggest gripe with Chase that some above said SVB sorted, is the ability to get a credit card in a company name without being tied to personal, at the size we are.
"FA"?
Information plateau
Here's an example of doing this in a top-down parser, by Bob Nystrom (author of "Crafting Interpreters"): [0].

[0] http://journal.stuffwithstuff.com/2011/02/13/extending-synta...
Yeah, makes sense.

Burying 5% of the output... maybe that's what some civilization did 60 million years ago?
Is that why more banks than crypto exchanges have collapsed in the past week?
Ask HN: What is a tech worker, really?
I'm not being facetious, I promise. Especially over the last months, there have been tons of articles about "tech workers", and I've noticed that it seems to be a blanket-y, nebulous term that seems to have replaced "white collar". What am I missing? How do you define it?

I'm a programmer -- I think I'm a tech worker, but that seems pretty obvious. I'm wondering about perhaps less-obvious roles, too.
Anything focusing on Lean Software Development and/or Agile. As much hate those words bring up in people that have had bad experiences and bad management of those processes, the alternatives of waterfall are much worse for software. There are exceptions like if you’re building software for a nuclear reactor or high risk projects you’ll want very stringent requirements processes.

The core concepts behind agile/lean are really geared towards minimizing churn on stuff that doesn’t matter (unimportant features) and having a short feedback loop so you can find issues faster. Nothing is perfect and you will still have unused features and bugs, that’s the nature of it. One of the books I read had research backed findings based on analysis of projects, I think it was Agile Project Management with Scrum. Rework and other books by the Basecamp founders are good. It’s good to read up on a few different ways people have successfully done things to get perspective that not everything is “one size fits all.” Don’t take any methodology or process as prescriptive, they all have trade offs.
Kottke.org is 25 years old today
that... is not how supply and demand work.
OK yeah, sounds totally reasonable when you put it that way.
Can confirm. I don't think I've been shown a single authentic job posting on Indeed. It's mostly low-quality consulting filler.
Are there any Twitter lurkers? I never created Twitter account and the only time I visit it is if there's some news article or someone mentions specific tweet in social media.

From what I see, Twitter is just a tool for narcissists, and they absolutely need to write to exist.
I like it. Bookmarked. Will use again for sure. As others have said, I was wondering what the privacy implications are, as I don't want to share what I paste there when it's code copied from work. Privacy policies are not helpful, just say plainly if what I paste there is viewable by others or not, or is stored somewhere.
It's just as well that you aren't making policy, then. People's perceptions make a huge difference to behavior, whether they're well founded or not.
Predictions on how it's going to come back to bite them?
Thanks for the explanation, this makes perfect sense now, didn't realize the syncing was manual/separate.
It was as much in Twitter and Reddit as it was here, but there was this disingenuous campaign not only to misrepresent the true cause of the ban but to mischaracterize “queynte” as some kind of gender slur. The goal was to stir up a lynch mob and get him fired or even killed, but it turned out MOC wasn’t polarising enough or even that relevant, so it never went anywhere.
I'll wait until it's actually available for me to test to change my mind.
Have GPT translate down into a Controlled Natural Language. I tried having it translate to OWL, but it sucked.

https://en.wikipedia.org/wiki/Controlled_natural_language
I personally think this "we hired too many people" excuse doesn't hold water. This reminds me of the dot-com bubble where they jacked up interest rates and it caused companies to do layoffs.

Back then interest rates were low and money was cheap. It was growth over profit and when money is cheap you can afford to run in the red as long as you're getting bigger. The minute interest rates went up companies had to rethink how they're going to spend money. We haven't seen the type of corp consolidation yet that we saw back then but it's still early days.
I'm surprised and impressed. I pasted in the BF hello world example code and it actually parsed it and wrote it out very clearly.

https://whatdoesthiscodedo.com/g/b928d0f

Well done. Very very well done.
That's nice. But doesn't help those of us who lost their jobs with lots of experience and actual previous work ('not just sitting around/overhired') and now can't find anything.
The odd thing is that it's not (just) these recent "overhires" getting laid off but lot of us more experienced employees as we are more expensive.
True. I should have clarified that the workaround used for many NLP tasks, utilizing libs such as Langchain, will become obsolete. And after further thought, obsolete is wrong. More likely just used for more niche needs within NLP.
Personal evidence and the skills they recognise are game changers for learners to earners and those seeking to progress their careers. But the greatest benefit by far, is that they provide a fuller picture to educators, learners and employers, in a way that is transparent, contextualised and relevant. Let’s look at why personal evidence is on the rise and its impacts on the stakeholders of the skills ecosystem.
No if we have fancy machines that can do all the work we are not very poor, we are very rich.

We should lower the retirement wage, or (better) reduce the work-week, to spread the work around more evenly.
I just asked GPT-4 to "generate an ansible playbook that will install oh-my-zsh on a linux computer?" It did a much better job of the playbook than the one I created last week. GPT-4 did it in a few seconds, and mine took about an hour of Googling.
No - it just has to make the returns to inputting the training data the cost of electricity plus enough money for what a starving Bangledeshi brick maker would consider prosperity. So, web development essentially.
I'm f
I
P
I send all data to my desktop system Documents folder, then restic encrypted backups go from the main system drives to hot storage drives in the same desktop, then offsite cloud backups of the restic repos.
I've never met someone who will make up whole verses to a song. Especially when you pick a song with 7 words and it gives you about 10 verses.
Been happy with both Mullvad and IVPN. Both are privacy first and very affordable.
It's still wrong though.
I'm interested if you know of any historical research that talks about this. I can see that as a possible theory, but the counter would be that there's a fundamental difference in the nature of 'information' between now and pre-internet, where the combination of pure bulk of data and targeting means it's much much harder to actually filter than before.

It's difficult to fix this problem by interrogatin the validity of things when consuming the information in order to interrogate it causes you to have an implicit reaction. Consider advertising that operates on raw association, or curating information feeds that are designed to provoke a specific conflict/reward response.
How hard is it to build a GPT model truly openly using an approach like SETI / distributed.net using idle times on volunteer computers?

Are there any known initiatives of this kind?
This is good, a real objective evaluation. I think most of the critics of HTMX stems from pure front-end devs who are not really concerned of the back-end side.

While HTMX is tailor made/simple, for those who needs to build full-stack, while also having the great experience of SPAs.

Granted, it will never be able to compete with powerful JS frameworks on an apple-to-apple comparison, but that's not what it's designed for, It's an upgrade of HTML, not JS.
> Nobody is going to "generate training data" if they get precisely nothing out of it.

What? What do you call literally the entire training dataset of stable diffusion, dalle, gpt3, and gpt4? You think they compensated anyone that went into the dataset? Did you get paid for your comment, because guess what? Your comment will end up in the gpt4.1 or gpt5 model.

Training data will likely continue to include everything public on the internet. Not everyone will stop posting things online for free, therefore humans will still generate training data for models.
There seem to be all sorts of coincidental mechanisms that help people move past or forget trauma. A simple example is poor memory formation when sleep deprived; I note that many of my most difficult times have included significant sleep deprivation...
> about a year or two

That doesn't seem like long enough to me. Is it a matter of funds though? Going broke?

> I know I am naive

That should be the end of your post. How can you know to quit if you don't know enough?

> Please help me because otherwise I'm just going to quit

Nothing wrong with quitting. Quit things often. Find what you're good at.

> I feel so depressed and defeated.

Nothing wrong with that. That just means your self aware. Always a good place to start.

> go work at USPS

You just shot all my sympathy for you out the door. You know how hard they work? It's a great job. Don't be a classist douche.
IMHO, the world would be better off without the Paypal Mafia and all their ilk.
Wondering what Leto II would have said of the uses of ChatGPT?
“Fuck all”? I don’t know.

https://www.urbandictionary.com/define.php?term=Sweet%20FA
It will be a real name policy again. The AI will refuse to use any pseudonym you give it and it will insist on always calling your real full name.

It will be extra creepy because, you wont even be logged in, it will just identify you by using all the data it has about you.

Occasionally when you are chatting to it, it will blurt out some some embarrassing or private information about you.