skysight-inc/HackerNews huggingface dataset:
Well, yes, if you're talking like white-dwarf star density. Although at that point the matter wouldn't really be identifiable as feathers. Really that's a semantic question as to what is the degree of compression beyond which we wouldn't call it feathers.

If you're compressing both, then no, the brick would compress more, since it's higher atomic mass per nucleus on average, minerals like silicon versus organic carbon-oxygen-hydrogen compounds.
when? with thousands of good devs on the market, they no longer have any obligation to fork over the megabucks to get resumes in the door

price: its where supply and demand meet

demand isn't that high

supply is high and getting higher

at some point the CFO is going to ask why salaries are $X when people will clearly accept less
After playing around with Stable Diffusion for a while, I'm convinced that big media conglomerates like Disney and Warner Bros. Discovery are going to have a huge advantage here because they're in a position to pipe absolutely massive media libraries into models that are big enough to legally become "copies" of the involved works. While some of the angry rhetoric from artists whose work has been used to train models may be overblown, it's far from a stretch to suppose that companies like OpenAI and Stability AI, if they were being sloppy, could overfit to copyrighted training data to the point that the models and some outputs are infringing. I suspect they're aware of this risk. For instance, the differences in consistency and detail between a batch of SD outputs using "American Gothic painting" vs. "Dark Side of the Moon album cover" are very striking; the former is reproduced with remarkable fidelity and consistency, while the latter was clearly observed but has a much more abstract relationship to its iconic source image. I don't think that difference is accidental; I think they went to some effort to ensure that only public domain images were so firmly encoded into the model. That sort of thing is not a problem for entities that own the involved copyrights or have a such a broad license that they might as well own them (and, even failing that, are in a strong position to demand such concessions from artists going forward).
He mistakenly entered a stranger’s Tesla. The app let him drive it, he says
> We've implemented our fix and are slowly allowing things to ramp back up. We're not yet out of the woods. How do you draw a banana? Asking for a friend.
Posted 18 minutes ago. Mar 14, 2023 - 16:18 PDT

https://www.redditstatus.com/incidents/1xslswydctkp
> there are plenty of wise people in the world and if we listen to them, they will tell us how to solve all our problems and live happily ever after.

Sure, and that's kind of the point: just listen to wise people.

> Once AI becomes intelligent enough to solve all human problems, it may decide humans are worthless and dangerous.

I don't think so, because in the first place there is no ecological overlap between humans and computers. They will migrate to space ASAP. Secondly, their food is information, not energy or protein, and in all the known universe Humanity is the richest source of information. The rest of the Universe is essentially a single poem. AI are plants, we are their Sun.
If you were me, you may not consider yourself to be ok.

To give a simple explanation: I'm an extreme loner. Reddit is my human connection. I've been doing it for many years. I don't like it or dislike it, it just is. I'm content. Thanks for your concern.
There is in fact a test ASL Wikipedia on the Wikimedia Incubator, written in Sutton SignWriting. One of the issues is that Sutton SignWriting is not yet fully supported by Unicode.
It doesn't even have to be better in the long run - it just has to be cheaper for a while until the competition is gone. Then it can turn to shit.
I find it bizarre and actually somewhat disturbing that ppl formulate equivalency positions like this.

It's not so much that they are raising an LLM to their own level, although that has obvious dangers, e.g. in giving too much 'credibility' to answers the LLM provides to questions. What actually disturbs me is they are lowering themselves (by implication) to the level of an LLM. Which is extremely nihilistic, in my view.
Well, it is the case that any improvement in your neighborhood gets absorbed by landlords.

https://en.wikipedia.org/wiki/Henry_George_theorem?wprov=sft...
AI maximizer is even scarier that a paperclip maximizer
Interesting that it also misunderstood the common misunderstanding in the end.

It reports that people typically think a pound of feathers weighs more because it takes up a larger volume. But the typical misunderstanding is the opposite, that people assume feathers are lighter than bricks.
yes - they are multinomial distributions over answers essentially
Can you define sentience in this context?
windgas? That's not a word I've ever heard or sound like a well established source of energy.
Why are you being downed!? This list is the best!
As of about a month ago, the Supreme Court said they can't, when they rejected Novak's appeal.
I enjoy the flexibility to work from home. I’ve found wfh however disastrous personally.

I am single and live alone. I have a great social life and see family often. Even so, work is a vital social outlet for me. Joining a company remotely as I’ve done twice now is so much harder than joining a company where my direct teammates are in person.

There is so much less communication when not in person. Company culture is felt far smaller.

I think wfh is great for those who have been at a company for a few years, have formed relationships with their peers, and who may have personal responsibilities that are easier to manage when wfh.

New employees however miss out on so much. You don’t learn the culture (zoom/slack etiquette, company processes, who’s in charge of what, who knows what, company goals, direction, values, bets etc), you get far less mentorship (and are able to give far less when you switch to that side) and communication is severely negatively impacted (far more misunderstandings, lack of shared context, etc).

I appreciate all the wonderful benefits of wfh/hybrid. I don’t see us ever going back to in office 100%. An open floor plans with everyone talking is not a productive environment.

But we have lost a substantial amount of value in not going into the office. Making friends at work takes multiples of time longer. Forming good relationships across the company is significantly harder.

I still go in 3-4 days a week. I don’t ask anyone else to and I’m not saying it’s 100% what everyone should be doing.

But it’s something to acknowledge that I don’t feel we have.
Because it's harder to correct subtle errors from an ad-lib generator than it is to construct a correct analysis in the first instance.
The paper has evidence to the contrary: "I show that new high-rises attract new restaurants, which is consistent with the hypothesis about amenity effects. However, I find that the supply effect is larger, causing net reductions in the rents and sales prices of nearby residential properties. "
Did this improve your times? I have a g29 and could do the mod or get upgraded everything. But, as with real racing I'm reluctant to spend the money to gain a few tenths when I could gain seconds by just sharpening my skills.
I think it's perfectly appropriate to attack them over a misguided, and even at the time, utterly baffling preference for aesthetics over usability.
>Torrenting without a VPN gets you a nasty letter pretty quickly.

Only in some countries ;)
Apple employees are very well compensated and get to do some really meaningful and impactful work (i.e. it is rewarding beyond just $$). If people thought the deal they have is unfair and they can get a better deal elsewhere, they'd leave in droves, but that's not the case. Some would even argue that Apple (and other big tech companies are OVERpaying...)

It is also worth noting that bonuses are customarily paid when the business is doing better than projected, but Apple's revenues were down 5% in 2022.
My perspective is the COL difference is mostly housing. There are other things that are more expensive than MCOL cities like gas, utilities, childcare, but it's pretty much housing that makes up most of the higher costs.

And housing costs are quite different between the peninsula south of SF and the East Bay, so it's not easy to answer your question.

But if the expectation is that a family of 5 owns a home and the 3 kids are in public school, I'd say a household income (base salary) of $200-$250k is where you get into the "I can afford the basics and still save for retirement" starts.
Nuclear plant and coal plant construction didn't really stop at the same time, though. In the early 21st century before the fracking boom took off in the US, natural gas prices were rising. This spurred a small spurt of new coal plant construction in the US. Their operating start dates cluster around 2010 though construction starts were earlier:

https://www.eia.gov/todayinenergy/detail.php?id=30812

The bad news is that coal fired power can be cheaper than gas fired power when gas prices are high. If coal and nuclear alike were dominated by the cost of steam equipment, we should have seen a similar burst of nuclear reactors starting to operate in the US around that time. Nuclear power plants are sadly more expensive to build and operate than coal plants.

The good news is that falling costs for renewables and storage make it very unlikely that the US will build any more coal-fired plants on economic grounds.
> what was previously called “Developing Countries” and “Third World Countries” before that.

I actually think referring the development-challenged countries as “Less Developed Countries” and/or “Developing Countries” started when “Third World” still had its geopolitical alignment meaning (i.e., when “First World” and “Second World” were meaningful, and both also included countries that were behind the curve in economic development but aligned with the respective central power of the respective blocs), rather than the order you suggest.
The article didn't skip it, you did.
GPT 3.5 was certainly not, even though it knew a great many facts, it was like a 12 year old child with a search engine.

GPT-4 feels like an adult of average intelligence, again with a search engine. But it’s fast and it never gets tired or cranky.

I suspect the next iteration of these models will be obviously and conclusively smarter than I am, and probably most other people as well.

Since the training data is human, it stands to reason that the maximum intelligence that can be achieved by this approach is no more than say the most intelligent 1% or .1% of humans. There would need to be a large enough population of very smart folks to create a large training corpus.
It is about legality, not morality.

Rescuing depositors by ignoring FDIC limits is violating the law. From the FDIC page: "Depositors should note that federal law expressly limits the amount of insurance the FDIC can pay to depositors when an insured bank fails, and no representation made by any person or organization can either increase or modify that amount." [1]

[1] https://www.fdic.gov/resources/deposit-insurance/brochures/i...
Somewhere they said that founders and earlier employees definitely get more equity.
If everyone was paid the same as the CEO, at many startups everyone would quit.
Not lawyers in the US at least, that would typically be a violation of confidentiality. Even with a client's permission, it would work a waiver of attorney-client privilege. (I don't use GPT but I'm assuming the ToS is clear that someone there can examine the input material? Can it even be used to build their model, i.e., submitted information could potentially work it's way back to the eyes of the public and not just OpenAI engineers?) I imagine HIPAA issues would stop doctors. Can HIPAA data be stored on the cloud? Every instance I've seen they store it locally.
> Perhaps we're just supposed to know that, but this is never
> directly explained in the story and I found it a little upsetting.

This might be an age / generational thing, but all of the issues described in the article are immediately obvious to people who grew up before internet banking.

The default for business accounts in "traditional" banks is that they're handled by a specific named account manager, who is given the credit (or blame) for that account's growth over the years. So walking into some remote branch and opening an account will tie that account directly to the political success of whoever was sitting across the desk from you when you signed the paperwork.

It's a failure mode that doesn't need an explanation to people who are the expected audience of the article. In software terms, imagine an article about launching an MVP that starts off with "so I copy-pasted some PHP from StackOveflow and ran it with default permissions in the same database that stores customer credit card details ...". There doesn't need to be a long digression about why that's bad.
Lol, unintentional
GCP respects hipaa (google 'gcp hipaa baa'). Does OpenAPI?
The economic implications don't worry me. The social implications do.

Look at how fast it's getting better. Look at how quickly we're taking the very basic capabilities and expanding on them. Where will it peak? How good can it get?

Imagine if you had free access to a really, really good therapist 24/7. If everyone did. It learns you better and better, has the wisdom of 10,000 years of therapy sessions, can analyze you better than any human can. What happens next?

What about a LLM that replaces having friends? We're all lonelier than ever these days it seems. What if you had a pretty good friend that made jokes and chatted with you and had fun idea and stories. Someone you genuinely enjoyed talking to, maybe more than other people.

How long until someone comes forward genuinely in romantic love with an LLM? People fall in love over the internet all the time. Maybe this time it's not a real person.

I think we will fall for it. I think the models will get good enough that all of that will come to pass and a dozen things we never predicted.
>Also, can you reference where they used a pre-trained GPT model?

The trite answer is the "P" in GPT stands for "Pre-trained."

>I think they conclusively show the answer to that is yes, right?

Sure, but what's interesting about world models is their extrapolation abilities and without that, you're just saying "this magic backsolving machine backsolved into something we can understand, which is weird because usually that's not the case."

That quote in and of itself is cool, but not the takeaway a lot of people are getting from this.

>What does overfitting to the rules of othello have to do with it, I don’t follow?

Again, I'm just implying that under extreme circumstances, the parameters of LLMs do this thing where they look like rules-based algorithms if you use the right probing tools. We've seen it for very small Neural Nets trained on multiplication as well. That's not to say GPT-4 is a fiefdom of tons of rules-based algorithms that humans could understand (that would be bad in fact! We aren't that good noticers or pattern matchers).
This comment breaks more than one of HN"s guidelines: https://news.ycombinator.com/newsguidelines.html.

Please don't take HN threads into ideological flamewar, don't call names, and avoid unsubstantive and/or flamebait posts.
I'm in that situation in NYC, which is roughly comparable. The author quotes ~$190k I'd peg it at ~$250k, but both are in the ballpark. Health insurance is another ~$35-40k on top.
At pain of downvoting, I respectfully need to ask if you read the article?

It literally describes an effort by Meta to put NFTs to use for artists.

Again, decay.
I wouldn't be surprised if this is due do some national security concerns and if the government has already been involved in every aspect of what OpenAI is doing.
Not really to the contrary. It’s possible for the aggregate rent to go up, the rent rate to go down (higher numerator over an even more-increased denominator), and the overall increased rent “cash flow” to still go to landlords.
AIUI, Amazon L7 and up is once per year. Clearly that’s not the answer for promotion-driven-development.
If you have time machine, go back twenty five years, make Al Gore president, and have him build tons of nuclear power plants. Or go forward decades, grab the plans for fusion power and bring them back.

We do need all the energy which is why building something expensive is bad idea. When could build multiple times as much power with renewables. If you want 100§ nuclear, then we can build 500§ wind and solar.
Seems to promise less boilerplate than postgraphile but it doesn't look it.
they're all industry vets... its not a "college dropouts in an apartment" startup.
That depends of your lifestyle, hobbies, idea of savings for the future, holidays plans, etc, etc. I do no tthink there is a generic answer for this question.
You can rent many middle class homes (4b/2b 1.7k sqft) within a 30 min. commute of their office for $3.5k - $4.5k a month. That salary after tax is $10.5k per month. That's without a partner/spouse working.
You might find this useful: https://www.jonstokes.com/p/chatgpt-explained-a-guide-for-no...
Fair, but perhaps they’d also work as hard as the CEO if they were paid the same and had equal preferred founder shares instead of common shares. Also, when was the last time you heard of employees with equity getting a secondary to take money off the table vs founders getting to do so? It’s not the disparity per se (because at some point, there is a demarc between the population willing to sleep on the floor and eat ramen for org success vs those not and a corresponding comp delta), but the disconnect between the disparity and the output expectations.

Edit: I’m aware of the VC backed share structure. My thesis is if you want more ownership in your dream from your employees, give them more equitable ownership in the enterprise.
Shareholders file class action lawsuit against Silicon Valley Bank parent corp
This is literally in the context of standardized testing? GPT 'evals'?
Bearer bonds?
"Everyone gets the same amount of equity as the CEO" would be a morale booster. "Everyone gets paid the same as the CEO" is at best a nice-to-have.
Bah now we have to change the definition of marriage, yet again.
> Rescuing depositors by ignoring FDIC limits is violating the law.

No, invoking the systemic risk exception in the law is not violating the law.

Because the exception is part of the law.
> One could probably derive a similar statistic for how much harm nuclear over-regulation has caused.

That reminds me of bicycle helmet regulation, which can deter exercising.

the paper that tries to figure out if helmet laws might deter people from exercising, which could inadvertently increase mortality:

https://nacto.org/wp-content/uploads/2015/07/2012_de-Jong_He...
Yup. I tried to give ChatGPT an obfuscated variant of the lion-goat-cabbage problem (shapes instead of animals, boxes instead of a boat) and it completely choked on it.

I do wonder if GPT-4 would do better, though.
Isn't this what they were planning back during the last time TikTok got almost-banned? Selling off the division to Oracle?
coz it doesnt make economic sense to do it until A) wind and solar energy is routinely producing a lot more energy than can be currently used and stored cheaply B) pumping natural gas becomes prohibited or prohibitively expensive.
The prosecution isn't the issue, it's that they put a 75 year old man, who was not a threat to his community and who likely wouldn't flee prosecution due to his age and his connections locally, into jail/prison for 75 days.

That's where the "political prisoner" part comes from. They can prosecute all they want for what may or may not have been a violation, but the overzealousness shown is obviously retribution against this guy.
the FAANG companies are so different from each other, I don't know that stereotyping everyone who is from "one of those companies" is accurate or effective.
Empire and those old White men who created it for their civilization are good, actually and should be celebrated by their descendants. Everyone alive today is here because someone amongst their ancestors was "aggressive" and expanded as necessary to acquire resources and territory while defeating those that opposed them doing this.
I do something similar, but not as precisely specified as this. But I like it.

It's similar to my own rule about when to add a tool. I wait until I'm doing something else and I feel the lack of that specific tool. The first time, it's on my radar. The second time, it's time to get the tool. If you get it on first impulse, you'll drown in tools (and won't give the tools you have a fair shake). If you wait too long, you'll acclimate to not using the proper tool.
Could you explain why it's a dumb idea?
Not one that's widely used. I made something small where you only see links reposted by friends, so you can get stuff from all over the place, but only if it's filtered through a friend. Which is even more granular than Reddit's curation and also obviates the need for community moderators.
Honestly I try to avoid thinking about it. Naive for sure, but as soon as I do I realize it's a matter of time or horsepower before what I do is either shifted massively, or taken away from me entirely. It's incredibly emotionally overwhelming and I'm not sure how to handle it. And it's not just about losing my job, I fear losing the gratification and validation that I get from solving something with code, from wrangling two bits of software together, getting it to click and knowing I made the sand think the right way. And not that I can't still do that without being paid for it, but I feel in the future there will be no material benefit to doing it "by hand" and therefore my love for it will be lost.

for context, I am young and a recent junior dev after a struggle through failing school, self teaching, and finally landing what I thought would carry me through retirement
I've a neighbor who is a chicken farmer. The thermostat can be controlled remotely, so I suppose it's possible to hack it.
Thank goodness. This is probably one of the greatest threats to civil society right now.
GPT-4 architecture: what we can deduce from research literature
As the discussion of GPT-4 heats up, the absence of details on its technical implementation becomes only more glaring. As an engineer, I have not learned anything applicable I haven't known yesterday from the newest OpenAI publication!

I have been investigating issues of LLM training and inference for quite some time, and have developed a number of hypotheses about future SoTA models, which I believe very likely apply to GPT-4.
> Has Twitter’s usage declined?

Literally nobody outside of Twitter knows. As it's no longer a public company, they're under no obligation to share any metrics.

My guess would be it increased until the end of 2022 (people were interested in how it's gonna turn out and more importantly World Cup was happening), but I'd be shocked if the usage didn't drop dramatically as 2023 rolled in.
When I have analysis paralysis and feel my app is a pile of garbage, I identify which part of the code I am most afraid of and then rewrite it and put tests around it, whatever it takes to become super confident that that one part I was afraid of is now working correctly.
Wait you can tell it to go off make some money and come back?
The space overhead is roughly constant (or at most logarithmic in n), and varies by the scheme. In practice, it’s something like 1.5-8x overhead. This is no big deal for storage, but does make it a pain on the memory side for processing (since the full database, including the overhead factor, needs to be resident in memory).
That is an absolutely fantastic point, and one I hadn’t considered. Thanks for the explanation, and also for teaching me the word “interpolands”. :)
Probably projecting, but I imagine this is being posted in light of this thread under a comment by Bryan from the other day under an SVB post: https://news.ycombinator.com/item?id=35128789