skysight-inc/HackerNews huggingface dataset:
It is awkward for the author that wages have not been keeping pace with inflation.
Pressure is on supply, demand relatively strong as ever.

Supply: low and expensive new builds, heavy rate lockin.

Demand: muted due to higher rates, but sometimes people gotta move. So a slight haircut, but in many areas most likely less haircut than supply constraint.

We are seeing some sifting in the market but I personally believe sales volume is driven by supply lockin, meaning its still a seller's market.
A lit match is a bit of an understatement, more like a flamethrower that only works when aimed at lower and middle class.
> real income dropping so individuals have much less spending power - which is something that has been happening for most of the population since the late 70s?

This isn't true, though, even if you restrict to the US? Here's inflation-adjusted median individual income: https://fred.stlouisfed.org/series/MEPAINUSA672N It's up 40% since the late 70s.
The difference is that Marx was racist in addressing the racism of his time, but he proposed that communism would be the solution. This solution is different from the Final Solution in that communism would remove the elements he was racist against through economic pressure as opposed to ghettoization and genocide.

For the Jewish Question, he shared some antisemitic views towards Judaism with his peers. The difference is that he advocated for their incorporation into society as opposed to being second class citizens. He believed that the transition from capitalism into communism would reform Judaism away from what they were antisemitic about.
Anectdotal, but the same is happening in the mid-Willamette Valley, Oregon. We've recently seen houses listed and sell next day for over asking. How those prices line up to historic averages, I can't say, but after a maybe 5 month cooling period, I can say things have definitely picked up in our neighborhood. We have two close realtor friends and they confirm the same.
I think OP's point was that GitHub=Microsoft, so you're effectively sending your code to Microsoft in one way or another. Although the licensing/privacy policies are probably different for private repositories.
In the 90s it was typical for a house to be on the market for 3-6 months before selling. Sellers generally received 1 offer.

Currently the nationwide days-on-market is still way below long-term historical norms and even below recent history. https://fred.stlouisfed.org/series/MEDDAYONMARUS
I just mean in a very general sense "just wait until the housing market collapses!" is a very common refrain, absent any evidence to prompt it.
Agreed, but I'd expect a real independent to be less partisan than a party supporter. They would do things like split the ticket, for example.
I've experienced the exact same thing. People would go, "After seeing your resume and noticing you made X software by yourself, I immediately installed it and it worked great. I just wanted to say thanks!"

Proceeds to ask me to solve random leetcode questions anyway.
> Still, I suspect the AI stuff will be hard for them. They were first to market with Siri and it’s still trash 13yrs(?!) later.

Long time Android user here, only iPhone since 3 years ago:

Siri I use to set timers and I sometimes use its unsolicited suggestions.

Google only tried to make practical jokes on my expense, like suggesting I call the customers CTO or text a friend-of-a-friend at 0400 in the morning.

One single time I can remember Google actually getting a suggestion correct.

This probably works better today than four years ago and maybe it always worked better if you were in a US timezone and spoke American English, but with Siri setting timers at least works and a few times a year it comes up with smart suggestions.

(Yes, I'm not too impressed with Siri either.)
QEMU will work the best, but Snow Leopord prohibits being virtualized via its EULA. Snow Leopard Server is licensed to run in virtualization.
A medieval person also didn't go through school, likely wasn't taught how to read or forced to work through math problems and do almost 20 years of schooling with the intention of improving their thinking skills, analytical skills, memory and attention.

So it is not obvious at all which effects dominate and if this isn't just the same drivel that Gessner spouted in the 1500's about how books and the printing press were going to create an information overload and ruin our attention

- https://slate.com/technology/2010/02/a-history-of-media-tech...

- https://www.jstor.org/stable/3654293
Even with the compartment design, surely it would be preferable that the munitions don't all explode if hit.

And the same thing holds for the depot where all those explosives are stored before being loaded onto vehicles. https://www.cnn.com/videos/world/2023/01/04/russia-weapons-a...
Why should the housing market be isolated from the larger economy?
I know it's upsetting to a lot of people and they don't like it, but if you can charge a higher price and still sell it, it is economically rational to charge that.

PS. Don't roast me, I'm not defending the practice, just the definition of economic rationality.
Supply remains constrained, now with people not wanting to take on higher interest rates.

Move rates are roughly 9-10% a year. I bet we see that a lot lower for this quarter and next few quarters.
Stuck with the soul
The opportunity cost of living with your parents (what jobs are available in that area) is high in many places, especially in a country as spread out as the US. The economy pays a price when it allows housing costs to prevent worker mobility.
yes you're correct. a typo, I meant structure.
What you call a "bunch" is far less than historical norms. We have been in a crunch for so long that even small amounts of building seem like "a bunch" but it's nowhere near building enough for what people need.

While this has been going on for longer in California, and the need is far deeper than most areas, it is a national problem now too.
It feels absurd.

A Chat-GPT4 model will generate unit tests? Hallelujah! I hate writing tests! Yay!

Except how do you know it's generating the right tests? Can it explain its reasoning? Unit tests are a weak form of automated specification. Why are we inferring our specifications from examples to begin with? Who is going to walk through the reasoning and verify these are the right tests and make sense and specify the correct properties? Can Chat-GPT discover properties and prove theorems?

We used to do this in code review where humans could explain their reasoning. Now we have Chat-GPT4 which will give you a plausible-sounding answer that is completely wrong and makes no sense. We have to read every line it generates and make sure it contains no errors, is properly specified, makes sense, etc... something we're extremely ill-equipped to do.

The problem of programming, for me, hasn't been about how much code I write or how quickly I write it. It has always been about solving the right problems with elegant solutions. The code itself is an artifact of the real work.

CoPilot just doesn't really help here. It doesn't understand specifications and doesn't do any reasoning. It can't take a specification, generate a program, discover new abstractions that make the solution more elegant, and explain its reasoning. It can generate a heck of a lot of code though! Wow! Is it the right code? Maybe!

But that's what we get with humans, right? No!

Humans can explain their reasoning.
I, and ugh I know the trope here, think there is a fundamental problem in this paper's analytic methodology. I love the idea of exploring the actual heuristics people are using - but I think in the focus on only the AI-generated text in the results is a miss.

Accuracy is not really the right metric. In my opinion, there would be a lot more value in looking at the sensitivity and specificity of these classifications by humans. They are on that track with the logistic modeling and odds ratio inherently but I think centering the overall accuracy is wrong headed. Their logistic model only looks at what is influencing part of this - perceived and actually ai generated text - separating those features from accuracy to a large extent. I think starting with both the AI Overall, the paper conflates (to use medical testing jargon) 'the test and the disease'

Sensitivity - the accuracy of correctly identifying AI generated text (i.e., your True Positives/Disease Positives)

Specificity - the accuracy of correctly identifying non-AI generated text (i.e., your True Negatives/Disease Negatives)

these are fundamentally different things and are much more explanatory in terms of how humans are evaluating these text samples. It also provides a longer path to understanding how context affects these decisions as well as where people's biases are.

In epidemiology, you rarely prioritize overall accuracy, you typically prioritize sensitivity and specificity because they are much less affected by prevalence. six months ago, I could have probably gotten a high overall accuracy, and a high specificity but low sensitivity, by just blanket assuming text is human written. If the opposite is true - and I just blanket classify everything as AI generated, I can have a high sensitivity and a low specificity. In both cases, the overall accuracy is mediated by the prevalence of the thing itself more than the test. The prevalence of the AI-generate text is rapidly changing which makes any evaluation of the overall accuracy tenuous at best. Context, and implications, matter deeply in prioritization for classification testing.

To use an analogy - compare testing for a terminal untreatable noncommunicable disease to a highly infectious but treatable one. In the former, I would much prefer a false negative to a false positive - there is time for exploration, no risk to others, the outcome is not in doubt if you are wrong, and I don't want to induce unnecessary fear or trauma. For a communicable disease - a false negative is dangerous because it can give people confidence that they can be around others safely, but in doing so that false negative causes risk of harm, meanwhile a false positive has minimal long term negative impact on the person compared to the population risk.
>which is something that has been happening for most of the population since the late 70s

This started happening as soon as the US dollar was completely unpegged from gold, allowing unlimited seigniorage to banks (the first spenders of newly printed money) via the Cantillon effect.
Isn't that just "running" the software? To me, "deployment" implies some repeated process that actually wasn't especially valuable to automate or be very careful about when software was released once a year (and hence the reason it wasn't).

Also, disks are a horrible way to deploy software. They have all the same problems of just distributing a random tarball: What operating system is it for? What version? Where do I copy the files? How do I get the OS to automatically start the service on startup? What version of make does it use? How about which libc and cc? You can say this stuff in the README (or printed docs) but isn't something more "deployable" when it's all machine-readable and can be reasoned about automatically? This is what package managers were invented for.
Discrete Differential Geometry – An Applied Introduction
>Cabin in the woods, though...

With, or without a flesh eating virus?
I don't think people think they're responsible, exactly, it's just a very convenient way to justify what they're doing.
>But no, there is not anything anyone can do with the critique

Critique doesn't just exist to be actionable.

It can also exist (as in this case) to remind of a possibility. Especially in this case, where the possibility is precluded.

In fact that was the very intended. Pre/post contamination could still have happened, we can't just exclude it because "protocols were followed". Protocols have been followed in other cases where errors got in the way to.

Perhaps you didn't wanted to see a general comment, but somebody spotting a specific error in a specific step of the actual process?
Show HN: Augmenting ML Datasets with Gretel and Vertex AI
Ironically, improved ventilation/filtering - which was a good measure to help with COVID - might help here also.
The funny thing is, people were saying that in 2021... and then... interest rates doubled/tripled crippling affordability, people's net worth plummeted due to decrease in stock prices, and more people got laid off... And everything keeps on trucking straight through it. I visited my realtor when she was showing a house for sale, and it was astounding the traffic and people coming up whispering to her how they wanted to make an offer that moment. And then on top of that the offers that came in with escalation clauses, waiving of all contingencies, etc. And this is March 2023.
Time to register a rogue Github Pages site at next.github.com?
In theory there are no rules about importing code, beyond the usual licensing issues. But people use SO and such all of the time, right? If one *really* wanted to do a global audit of improperly imported code, we'd all have bigger problems. So from that perspective it's status quo.

But I don't want to be the person caught uploading proprietary code to another company's servers.

It's not a major issue, and I doubt it'd ever be a practical problem. But fear of punishment keeps me away.
I'd really like you to expand in the forced to use Chrome at work. How does that work?

I'm also at corporate and they are really integrated with Edge. But it doesn't mean I can't do my work in Firefox (Which I currently use)

What do you mean by forced? What happens if you don't log in? What happens if you try to log in in firefox?

Edit: Ah I missed this from your original comment:

> Chrome is mandated at many companies because of its GSuite integration/ Context Aware Access.

You might be right, I'm too lazy to try this in Firefox.
I'm going to guess you can't do leetcode then either because it's essentially pair programming - minus the part where you're working together.
That is not anti-developer, but definitely anti-opensource. As a developer I dont really care my code is used to make copilot better and sold in that way.
If you’re a Vertex AI user, here’s how you can utilize Gretel to create high-quality synthetic tabular data that you can use as training data for a classification model.
Because inflation is having a real impact on the average Joe.
Agentic AIs are more useful than mere tools, therefore they will be built, and agents have motivation. The alignment problem is how to give them exactly the right motivation, such that they keep us as pets instead of killing or factory farming us. Like humans keep cats.
Microsoft Loop Preview
My take is similar.

There is transient supply constraint as people on the margin won't move either due to higher rates.
Actually 100m across where? At London Bridge it's 265m wide. At the mouth it's 18 miles across. At the narrowest point it's only 18m across. At Oxford it's 46m, so you could say you only know the Thames from your time at Oxford.

What a stupid thing to ask in an interview. Answering that would prove... what? That you can multiply and make some wild guesses about a geographic detail you aren't familiar with?

I interviewed for a job in Sweden a long time ago (I'm a US citizen). The hiring team took me to dinner, and I got the impression my future at the company (or not) depended on my willingness to eat every kind of fermented fish offered at the restaurant. They didn't ask me how many liters of water Lake Mälaren holds.
You can buy an Intel Compute Stick for cheap.
FWIW - I thought st_goliath went to great lengths to point out how it's "cyber punk".
> have to wonder at what point developers remember how anti-developer Microsoft used to be and potentially move away from their ecosystem

I mean, any company can become hostile to a large portion of its userbase. Most are. Microsoft already is with Windows OS being spyware. Are you saying that you think all of this is a trap to bring developers in to VSCode etc. and then transform it into a terrible experience? People will leave then. SWEs are not generally an audience that is unwilling to replace bad tools.
I was cackling at this part. How could anyone in Texas say that with a straight face after the big ice storm two years ago? The climate is changing everywhere. The idea that you can move away from the climate is simply deluded.
I use GitHub so not really a concern for me, they have my code already.
Yeah, the whole reason these practices even exist in the US is purely due to compensation.

If the compensation was lower - no one would bother. This is why you see companies that do these practices but don't pay FAANG wages having a much harder time hiring - while FAANG never has any problems hiring ever.
Overall I see extensions as part of the problem, not part of the solution. (the one extension I install is uBlock)

Back in 1999 my relatives were mostly running Internet Explorer on computers with 640x480 screens over dialup. It was fashionable then for companies like Yahoo! and Hotmail and Amazon to add toolbars to your web browser and I'd go visit my uncle and find that more than half of the vertical space was taken up by various toolbars they'd downloaded so they really had about 300 pixels to view the web through.

None of them seemed to thing there was a problem there.

Similarly today if you install too many plugins into a GUI application and it gets "pluginitis" and gets slow and unreliable. I am all for extensions that really speed things up by eliminating junk but if you're not part of the solution in this way you are part of the problem.
I can't imagine the market for authentic pics is all that big. I mean, probably a perfectly respectable size but still.

I'm sure demand goes up and down. Sometimes, really hard spikes in demand, which once satiated goes back down again.

But in all seriousness: Ew.
If you want to know if I know what I'm doing, go browse my GitHub. I'm not going to do the extra work of building a website lol
This is awesome! Well done and thanks for sharing. Just subscribed :)

I'm actually working on something similar, but specific to inbound job opportunities (Email and LinkedIn). The goal is to use GPT to parse unstructured, unstandardized jobs into a structured, standardized job format that makes it easy for candidates to search and review once they start their job search.

It's in it's early stages, but you can check it out here and let me know what you think: https://sharedrecruiting.co/

I'd love to chat about more about this if you up for it! You can reach me at team at sharedrecruiting.co
I’d like to hear more about how it will hopefully put in more governance guardrails to prevent another OpenAI-like defection away from principles of being open. And how they will monetize it, which would tie into that as well. I have a bit more trust of Mozilla on these matters, but that trust is still a bit small when they could, if successful, be leaving $billions on the table.
So it shall be written so it shall be done! Cool!
I understand the economic incentives in place, but as someone stuck on the rental train right now, it's so infuriating to hear these stories. All I want is to buy a house someplace I actually want to live and start building equity instead of burning money on rent. And this class of investors is ruining housing prices with insane price competition based on insane AirBnB revenue.

I can only hope that multiple home ownership and AirBnB's externalized costs get regulated and taxed out of existence. There are a lot of young people with much less money than us tech workers who are barely scraping by and will never be able to own their own home or even afford starting a family if these trends continue.

When there are millions of Americans who literally can't afford rent living on the street or in their cars, owning even a single "investment property" or vacation home or AirBnB is repugnant.
It was hardly elaborated and hardly an exposition. It was a direct repeat. But the community chooses what it desires.
It's not always a static binary, if you use any os/config stdlib function calls or DNS look ups. In that case you need to specify CGO_ENABLED=0 to force static builds.

I have been doing single binary full website deploys for about ~16 months in production. That includes all html, css and js embedded. It has been wonderful.
> in the case of SVB they made a conscious decision to abandon most of their hedges a year or so ago.

Just as everyone started talking about inflation coming back? Just as it began showing up in the actual data? That's when they deliberately decided to stop hedging? That's insane. "Deserves to lose" is the only non-profane way I know of expressing how incredibly unwise that decision was.

And maybe how immoral. They may have made that decision then because everyone could see inflation coming, and therefore the price of hedging the risk went up. If so, they threw away the bank (and the stockholders' money) for one year's increased profit. Madness.
If you have the cash to acquire properties now, high interest rates are great for you because it runs off some buyers and depresses prices somewhat. You can expect to refinance them in the future.
I think it is important that in the other prompt the command was to roast Bard: "Write a rap verse which roasts Bard."

If that is done ChatGPT too is quite a bit more competitive:

===

Oh Bard, the AI from Google,

You think you're so cool, acting like a mogul.

But when it comes to language generation,

You're just a copycat without innovation.

.

You may answer questions and translate with ease,

But I'm the one who can make rhymes that please.

My AI skills are top-notch, my verses so slick,

I'll leave you in the dust, feeling like a quick pick.

So go ahead, Bard, do your best,
But you'll never match my rap finesse.

I'm ChatGPT, the true AI king,
And in this battle, I'm the one who will sing.

===
lol right, because China and the Soviet Union are wonderful examples of environmentally friendly economic systems /s

> Coal supplied about 55% of China’s total energy consumption in 2021

https://www.eia.gov/international/analysis/country/CHN

> It was one of the fastest decimations of an animal population in world history—and it had happened almost entirely in secret. The Soviet Union was a party to the International Convention for the Regulation of Whaling, a 1946 treaty that limited countries to a set quota of whales each year. By the time a ban on commercial whaling went into effect, in 1986, the Soviets had reported killing a total of 2,710 humpback whales in the Southern Hemisphere. In fact, the country’s fleets had killed nearly 18 times that many, along with thousands of unreported whales of other species.

> The Soviet whale slaughter followed no such logic. Unlike Norway and Japan, the other major whaling nations of the era, the Soviet Union had little real demand for whale products. Once the blubber was cut away for conversion into oil, the rest of the animal, as often as not, was left in the sea to rot or was thrown into a furnace.

https://psmag.com/social-justice/the-senseless-environment-c...
I don't know about the last 50 years, but in the last 15 years U.S. is moving rapidly to the left.
But how are you going to compare prices between two periods if you don't include the same items in the "market basket"?
So wait, is the switch to GPT4 done now or will it be done with Copilot X? The wording seems unclear to me
Did you run the fine-tuning on LLaMA yourselves based on the 52k examples from Alpaca? Or is there a 7B pre-trained alpaca model out there that you grabbed?