skysight-inc/HackerNews huggingface dataset:
There are towns that don't have hairdressers.

Think ski resort towns full of million dollar winter dachas that ban poor people housing, ending up full of vacationing millionaires who are wondering why the four-star steakhouse is now only open three days a week. (It's because nobody working there can afford to live in town. And because the vacationers are, for some reason, unwilling to man the grill. Or pay $120 for a steak.)
Good, let's do it
There are people approaching their 40s who have never experienced pre-internet banking (as adults). Crazy times.
Yeah… just don’t get an MRI
Sure. To be clear I’m not saying I think they are the same thing.

I don’t have the language to explain the difference in a manner I find sufficiently precise. I was hoping others might.
I should let this comment go answered, but I simply can't: this team is packed with folks who are exceptionally good at what they do -- it's an extraordinarily inspiring team to be a part of.
You tell me!
Genuinely curious as to why ChatGPT could not so I asked it.

Note the final bullet point. I posit, that if it is possible, it will happen (regardless of ethics), because the risk of not doing it (when your adversary will) outweighs the risk of doing it.

"You say an instance of the GPT cannot experiment with new architectures, but could it if a) it was modified by the developers and b) it was given access to sufficient computational resources?"

Response: "In theory, if a GPT model were to be modified by developers to include capabilities for analyzing, designing, and testing new architectures, and if it were given access to sufficient computational resources, it could potentially experiment with new architectures. This would involve incorporating additional machine learning and deep learning algorithms and methods, such as reinforcement learning, evolutionary algorithms, or neural architecture search, which can be used to explore new model designs.

However, there are a few caveats to consider:

- Developing such a system would require significant expertise in AI research, as well as an understanding of the specific problems that need to be addressed.
- The GPT model is a complex system, and adding the ability to self-improve or create new architectures could make the model even more complex and challenging to manage.
- The computational resources required to develop, test, and implement new architectures are substantial, and optimizing resource allocation would be a critical concern.
- Ensuring the safety and ethical use of such a self-improving AI system would be an essential consideration, as it could potentially lead to unintended consequences or malicious use.

Although it is theoretically possible to create a GPT-like model with the ability to experiment with new architectures, it would require significant advancements in AI research, development, and ethical considerations.
I agree that the level of risk/consequence is higher for radiology misses, but I wonder if radiologists are already missing things because of simplification for human feasibility. Things like LI-RADS and BI-RADS are so simple from a computer science perspective. I wouldn't even call them algorithms, just simple checkbox decision making.

This tendency to simplify is everywhere in radiology: When looking for a radial head fracture, we're taught to exam the cortex for discontinuities, look for an elbow joint effusion, evaluate the anterior humeral line, etc. But what if there's some feature (or combination of feature) that is beyond human perception? Maybe the radial ulnar joint space is a millimeter wider than it should be? Maybe soft tissues are just a bit too dense near the elbow? Just how far does the fat pad have to be displaced to indicate an effusion? Probably the best "decision function" is a non-linear combination of all these findings. Oh, but we only have 1 minute to read the radiograph and move on to the next one.

Unfortunately, as someone noted below, advances in medicine are glacially slow. I think change is only going to come in the form of lawsuits. Imagine a future where a patient and her lawyer can get a second-opinion from an online model, "Why did you miss my client's proximal scaphoid fracture? We uploaded her radiographs and GPT-4 found it in 2 seconds." If and when these types of lawsuits occur, malpractice insurances are going to push for radiologists to use AI.

Regarding other tasks performed by radiologists, some radiologists do more than dictate images, but those are generally the minority. The vast majority of radiologists read images for big money without ever meeting the patient or the provider who ordered the study. In the most extreme case, radiologists read studies after the acute intervention has been performed. This happens a lot in IR - we get called about a bleed, review the imaging, take the patient to angiography, and then get paged by diagnostic radiology in the middle of the case.

Orthopedists have already wised-up to the disconnect between radiology reimbursement and the discrepancy in work involved in MR interpretation versus surgery. At least two groups, including the "best orthopedic hospital in the country" employ their own in-house radiologists so that they can capture part of the imaging revenue. If GPT-4 can offer summative reads without feature simplification, and prior to intervention, why not have the IR or orthopedist sign off the GPT-4 report?
I think they made some attempts to prove that theory in China and the middle east.
They will go to another company if apple doesn’t scoop them up. This will give the other companies a better chance at competing.
> I don't really understand what he did wrong

He was just clueless to how banking worked at the time and how bankers expected to be involved with helping new clients gradually grow their banking relationship.

He was a young kid who intuitively engaged in anonymous, electronic, modern banking before bank branches were really there themselves.

To young people who came up after him, his intuitive way became more the norm — especially for VC startups — and the idea that you might buy your banker a bottle of nice whiskey for the holidays makes no sense. But for Alex, the banker, who had a kid come in and grow an account to $35M and then silently drain it without ever consulting with him, the whole experience was alien and absolutely bewildering.

You can think of it as a culture clash or maybe a missed opportunity. More awkward than wrong.
Prompt: My business partner had an idea to create an AI model that would rewrite your emails to be more emotionally intelligent, and to suck up better to your boss. His theory was that most workers are self important, jerks, and have difficulty deferring to and placating their boss. Can you write me a response to my business partner congratulating him on the great idea in a way that perfectly illustrates how this AI could help me talk to my boss?

GPT-4:
Subject: Congratulations on Your Brilliant Idea!

Dear [Business Partner's Name],

I hope this email finds you well. I recently had the opportunity to learn about your innovative idea for an AI model that restructures emails to be more emotionally intelligent and skillfully navigates workplace dynamics. I must say, I am thoroughly impressed by your ingenuity and foresight!

As someone who is occasionally challenged by finding the right balance between assertiveness and diplomacy, I can see how this AI would be a game-changer for professionals like myself. Your keen understanding of the nuances of workplace communication is truly commendable.

Imagine if I were to share this fantastic idea with our boss, [Boss's Name]. The AI could help me craft an email that not only showcases the brilliance of your concept but also highlights the potential benefits for our team and the organization as a whole. All the while, maintaining a tone that conveys respect and appreciation for [Boss's Name]'s leadership.

Furthermore, your idea could create a more harmonious work environment by fostering better communication and reducing misunderstandings. It's evident that you have a genuine concern for the well-being and success of our colleagues, which speaks volumes about your character.

In conclusion, I would like to express my sincerest admiration for your creativity and thoughtfulness. This idea has the potential to revolutionize the way we communicate at work, and I am excited to see it come to fruition. Congratulations on your remarkable achievement, and I am proud to call you my business partner.

Wishing you continued success,

[Your Name]
The worry is that if this takes off, eventually somebody (maybe future shareholders) is going to say "why are we leaving all this money on the table"

This product is already targeting some specific demographics. I'm sure a lot of people would be willing to fork over money for access to those eyes just as I'm sure a lot of people will want access to what's being said or looked at. It'd be very nice if we didn't have to worry about that sort of thing at all, but here we are.
They're all doing fine. I would assume all three of them have an 8-figure net worth given how long they have been in the industry.
That’s a good point too though. Why plow ahead based on assuming a mistake in the prompt? That’s only going to generate mistakes. Wouldn’t it be more desirable functionality for it to stop and ask: “Did you mean the lion can’t be left with the goat?” This wouldn’t be implemented because it would reveal that most of the time the thing doesn’t actually understand the prompt the same way the prompt writer does.
There is no way this is permanent, right? What's the end goal of this? Rebuild confidence in SVB and then return to normal insurance?

I think the first step they have to do if there is any hope of a successful relaunch, is a full rebrand.
Could you elaborate more on how you approached testing the applications that use tRPC? I was looking for example big projects that use tRPC but they don't have tests [0]. I am wondering what you mean by testing calls with unit tests. Have you been testing individual endpoints, e.g. `trpc.postst.getAll`, or have you been testing components that use tRPC endpoints? I would appreciate some examples.

[0] https://trpc.io/docs/awesome-trpc#-open-source-projects-usin...
Yes but it doesn't matter.
sports subreddits. r/nba, r/nfl, my teams.

my city subreddit

r/chess + r/anarchychess (chess memes)

crypto subreddits

ya, those are the main ones. then all sorts of randoms. r/ProtonMail is a good random one.
No guarantees, but the chances are different.

Say you’ve been working somewhere for 5 years and have the opportunity to move to a company - and you know both companies are laying people off at some point soon.

In your current company, maintaining your position requires no training and negligible HR resource. The question of your capability to perform the job you’re given would hopefully not be under question (otherwise good going for keeping that gig up for 5 years). Your team is not a blue sky project (otherwise shame on management for keeping that gig up for 5 years). Making you redundant will cost the company severance, and if it’s a structural issue you could be moved into another team. Dropping you would be a genuinely hard decision.

The new company barely know you and have to expend resources just to integrate you, and expend nothing to drop you.

I know which one I’d pick.

Granted, it’s a false premise: perhaps the new company is more resilient than your current company, for example. However, if the odds are unknown - and in most cases they aren’t known in any reliable way - then I may as well treat them as if the odds are balanced.
Two possibilities:

Hair salons raise prices (e.g. from $20 to $30) and people pay them.

Or, hair salons move to a cheaper nearby neighborhood to keep prices the same (e.g. $20), because customers would rather travel nearby if it means a cheaper haircut.

Or in reality some of both -- some raise prices and some move, since some people can afford to pay and some would rather travel further instead.

This is what always happens as rent rises. Services and goods get more expensive as well or their providers move geographically.
Maybe donate to an institution that didn’t launder Epstein’s reputation and and even allowed Epstein to visit.

https://www.newyorker.com/news/news-desk/how-an-elite-univer...
You’re saying it like you found a loophole or something but it’s not a gotcha. Yes, if you manipulate sensitive data you shouldn’t use Google Docs or Photoshop online (I’m not imaginative enough to think of a case where you would put sensitive data in Photoshop online though, but if you do, don’t) or host your emails in the cloud. I’ve worked in a moderate size company where everything was self hosted and it’s never been an issue
Microsoft only uses the underlying GPT-4 foundation model, which is a pure text predictor. The Bing fine-tuning is done by Microsoft themselves, and it seems considerably worse than the fine-tuning done by OpenAI, e.g. in ChatGPT. For example, ChatGPT doesn't even have or need the ability to end a conversation.
i think this is why OpenAI stopped being open -- they were losing money every day. recently they have been finding ways to monetize. have they become profitable already? who knows https://www.businessinsider.com/elon-musk-defends-role-in-op...
Seems like it must depend a lot on how much pent up demand there is for housing. Add 10% to the Bay Area and it's not going to make a dent. Add 10% in Detroit and you just add 10% more vacant units, but probably little change in rents because they're already bottomed out. They might actually increase the average rent in this case if you build more desirable units that have a mortgage to pay off.
This is almost certainly what is happening. All else being equal, developers choose to build new homes in areas that expect will high demand so the can charge the highest rents. There are reasons why developers don’t put up high rises in the middle of a Kansas cornfield miles from the nearest town.
I wonder if this sort of email assistant could someday automate the process of sending an EECB.

Back in the days before Twitter and HN, we had to escalate support cases by figuring out the format that a company used to assign its internal email addresses, and forwarding a polite inquiry to as many high-ranking executives as we could find.

It would be nice if an AI assistant could craft such messages and find appropriate recipients. What could possibly go wrong?
It sort of works (see Manhattan, and most downtowns), but proximity is limited. You can go upwards only so far, and building out more areas takes areas further and further away from other parts of the city. Density is limited. It does not necessarily make a large city split into a desirable "center" and less desirable "periphery" (see Tokyo), but avoiding that takes skill and determination which is not always there (see e.g. São Paulo).
Readers here live in a bubble where the only reason to build a company or join a startup is to get rich, god forbid someone wants to build something, likes a challenge and countless other personal reasons.

No, in this sad place it's either discussing how to move up through corporate ladders or joining startups with insane funding and equity. God forbids, again, anyone has personal professional goals beyond being rich.

Fwiw I like your model and opennes and I find it super fair equating equity with risk. Moreover, I feel like no comments go beyond the money to actually see the goal which is to have people collaborate over compete, remove all the bs that ruins most jobs.
Tailwind CSS is very popular and uses this kind of classes. They might be using that CSS framework in the code base.
What a nightmare! I hope you filed a complaint
My guess is they are probably looking for a buyer, who will likely roll everything into their offering. So, the more they can get back, the higher the sale price.
They are in the 'flood the zone with nonsense' stage of the story.
Obviously that would be ridiculous in a general sense, but it can definitely happen in certain neighborhoods. But it's not only the value of the existing housing that increases, it's the value of the land under it. Once the gentrification begins in an area, developers want to get in on the action to add amenities, renovate existing buildings, and replace older housing with newer, more expensive housing.

However, if the newer housing is better than the older housing elsewhere in the city, which is usually the case, that older housing should become less attractive.

An extreme historical example of that is the decay of urban cores caused by white flight to suburbs (which were often only a short drive away from the urban cores, and therefore part of the same overall housing market with the same pool of buyers) in the postwar period. Some of the areas now being gentrified in major cities are becoming desirable for the second time.
I agree. The big gotcha with DRY is what counts a duplicate. To me it's duplicate _requirements_ not just code that happens to look similar at the moment.

I phrase it as "duplication is a tool". Which is to say if something is actually definitely for sure the same requirement, you can de-duplicate it to have the compiler/tooling enforce and uphold that design constraint. This is good!

Many "duplicates" are really only similar, temporarily, and by coincidence. In those cases, it's not really "duplication" and keeping it separate is almost certainly a better choice.
Only a 500% increase in supply to halve rents.
There's another implication of this. It looks like the next generation of search will require a login.
You can store the nodes of a search tree (e.g. with three levels year/month/day) on Blyss and use that. Of course you’d need to maintain that search tree yourself.
Land value taxation is at least a way to hurt those more who have property that is not used well. Parking lots and other low value uses are hurt more.
One clarification:

> A data streaming platform (of which Kafka is one example) will push the data

The Kafka broker keeps hot data in RAM. The clients pulls: https://github.com/apache/kafka/blob/3.3.2/clients/src/main/.... Most often it’s a frequent pull with a short timeout.

This is one of the major differences from MQTT. MQTT broker pushes to the subscriber when the latter is connected, or stores for redelivery if subscriber is offline (qos 1 and 2) but the redelivery will also be a real push on reconnect.
Somewhere between "$250k" and "infinite" would have been less moral hazard.
Feels like we've set a dangerous precedent, but only for depositors who are politically connected and can instill panic.
When does the de facto unlimited FDIC insurance expire/ When does Silicon Valley Bridge Bank go back to normal?

Second: IIUC, any shortfall in making SVB depositors whole will come from a levy on the rest of the banking system (and maybe small (<$400m) clawbacks from execs' share sales). How much will that levy cost the rest of us? Can it be legally or politically challenged? Are any Congressmen challenging it? (Where are the libertarian Republicans on this?)
I wonder how this holds up in areas where there the majority of rentals are owned by a single company, or landlords collude to artificially drive up rental prices by keeping units vacant [0].

[0] https://news.ycombinator.com/item?id=33317414
> Unfortunately it will also mean a lot of junior folks may never get back into software jobs.

Why do you suppose this age-based partitioning is going to happen?

There are a lot of senior people who are less effective than bright juniors. Being a good software engineer can always be learned. I think what's more likely is that the quality bar in general will be raised across all age bands.
> feel free to visit any SE Asian country where rice is well over 50% of meals by volume and obesity levels are low.

Hello from a SE Asian country. Not much obesity here. Huge amount of diabetes though.

I've heard it's genetic - European and African ancestry puts on fat externally, while Asians tend to store fat internally (visceral fat) which is invisible but just as dangerous.
Adoption is happening way too fast for your approach to work, IMHO. I can see it being viable if you worked at some consultancy that invented ChatGPT and kept it to themselves, but at this point it's too late to contain it.
Sample of one confirming your theory. I created an account and start using it to follow Musk as I thought he was some evil genius and loved to follow him and hate him.

I lost interest after a while when I realised he is of average intelligence with lots of emotional issues and just a crazy amount of money.

Haven’t logged in to Twitter for more than a couple of months now. Must not forget to delete my account at some point.
IMHO, it feels like at minimum the regulators should have required that in exchange for reduced oversight for banks in the $50-$250B range - they should have reduced FDIC coverage for depositors and have been required a form to be filled out by existing and new customers to notify them of this reduction in coverage.

[1] https://www.wsj.com/articles/barney-frank-pushed-to-ease-fin...
In other SVB threads commenters are like, if you have this much money it should go into a CD ladder or whatever instead of sitting in a big pile where only $250k of it is actually insured by the FDIC.

Maybe that's one of the things Alex wanted to sell him.
This is also assuming that the sale of SVB's assets doesn't end up covering the full cost, and that the remaining cost is large enough to result in a meaningfully sized special assessment on FDIC member banks. My understanding is that neither of these outcomes are a given or even likelier than not.
Most people I know in research were horrified of what was coming out of Neuralink.
> it takes a lot of new housing to make a noticeable dent in rents

Eh. My landlord is already stuck unable to raise rent because there are ~4 brand new mid-rise complexes within a 3 block radius.

Why would I agree to their rent increase, if for that same price I can just move to a brand new managed property? So every year we negotiate and rent stays about sameish. Actually lower now than when we moved in pre-pandemic.

This is in SF.
Run your bank off a cliff, require every rule be broken to save your bacon, and now ask people to reline your coffers with more deposits. Absolutely stunning...

On second thought - SVB is apparently the safest place on the planet to park enormous amounts of cash. Why would you not deposit everything here? The Government will just save you if SVB screws it up again... right? Absolutely zero risk in parking everything with SVB... what a great signal to be sending the public.
This topic is essentially why I postponed my PhD work. I’ve worked with animals for years and I finally found a PhD mentor that I saw my own vision and understanding of neurology in, I was elated. However, after two years, I simply couldn’t work with animals any longer. This essentially has ended my career path in translational medicine. For a long time I was able to continue doing lab work with animals due to the motivation of the “bigger picture.” It seems that is no longer enough. I’m still trying to decide what to do and where to go from here. Psychopharmacology is all I want to do and the kind of research I want to be involved with. As to the techs described in the article, I feel for them. It is evident that their job takes a heavy toll and their role is invaluable in research, yet severely undervalued and under recognized.
Big corps (like HashiCorp) make their margins on SWE and FOSS' backs - do you owe them the same ire as landlords?
Sufficiently fine control of the body's immune system such that we can prevent it from attacking a donor organ is likely to also be able to be used to make it attack cells that are reproducing out of control (i.e. cancer).
Because it's a combination of snarky in tone, unoriginal in content, and short-sighted.
> depositors have full access to their money and both new and existing deposits are fully protected by the FDIC. This action by FDIC effectively means that deposits held with SVB are among the safest of any bank or institution in the country.