skysight-inc/HackerNews huggingface dataset:
I agree on the surface, this line of reasoning does track.

More regulation = more complexity = more weight

Similar can be seen with houses sort of.

More regulation = more complexity = higher cost

If you could weigh a house it’d probably be heavier too ;P

Both cars and houses have certainly inflated in size over time. But both are almost certainly not due solely to increased regulation.
You've done a stellar job proving my original point. But yes, a genderless society would be a more just one. If your perceived gender didn't affect one's life outcomes there would be little reason to perform them.
"The worst thing we can do right now is bail out commercial real estate investors"

Which is why you know they're gonna do it. Can't let market forces get in the way of a good "campaign contribution", right ? :/
That is curating
It remains to be seen where city populations end up if convenient commute to an office and hangout with workmates in the city are no longer factors that play into living in a city for many.
Search for any popular title on Amazon and down the list you will always find "imposter books", with similar titles, author names and cover designs. Sometimes they blatantly use the authors copyrights, but usually they are just different enough to avoid being taken down. With Amazon not publishing the book until a copy is ordered, there is really no cost of the sellers part ... and if you can get 100 customers to buy the wrong book by mistake ...

My point is that is kind of work is already all over Amazon. The only thing that is changing is there is new production method. But when you can pay someone is a low cost county $10 to make the work, the cost is negligible.

I don't think authors have anything to worry about yet.
One recent paper to be added to this list of Approaches/Techniques is:

Toolformer: Language Models Can Teach Themselves to Use Tools

https://arxiv.org/abs/2302.04761

The authors show a valuable method of using prompts to generate training data to be used for fine-tuning.

Check out Appendix A.2 in the paper for the example prompts.
Linus has a terrible attitude.
When we have AI that advanced nothing will be valuable. Everything can be created / stolen in seconds.

There will be no need for Microsoft, for OpenAI, for copyright, for software, for open source, for jobs. It will be a civilisation shattering event.

I think it’s already going to be fun watching OpenAISoft stop their own products being used to recreate themselves.

“Write my a functionally identical piece of software to Microsoft Word”.

People will get around it saying no and open source alternatives will eventually be available anyway.

It’s really incredible what’s going to happen.
I Watch the Closing Credits of Every Movie I See
Generally I agree, but unfortunately many newer, denser, cities can't be easily rezoned/rebuilt into residential/mixed use because the city infrastructure (usually plumbing) can't handle it. So major conversion projects need not only zoning approval but also major municipal investments.

It turns out zoning is not just an arbitrary categorization, but also a guidance for public works. This is a tough trap, because it's hard to convince a local gov to put up much more capacity than required for office use when an office building goes in (that would be a waste of taxpayer funds).

(I've tried to do this, even put up capital and hired an architect, but it hit this wall.)
Very true, and the foundation for why I walk away quickly when presented with Leetcode style interviews
I think it's irrational, but definitely not for the reason you post. If VCs are using funny money to invest in bullshit technology that deserves to die, I'm fine with our jobs and salaries taking a reset back to a reasonable proportion of actual value created. More of us will be working on actual useful stuff again.
Constant ecosystem changes make it difficult to maintain strict low-level and high-level API boundaries and drivers across platforms. To get non-trivial projects done with high quality you need very experienced engineers who are comfortable dropping into low-level code as well as fork or build in-house versions of common libraries and tools that don't quite get the job done for your use-case.

Also there's a lot of hobby projects that are great and push boundaries but they're also often the only option for a given toolchain/language/framework. So its a very frustrating exercise to invest in a tool only to realize its half-baked (which is fair for a hobby project!) and you need to reverse course and rebuild or extend it yourself - even for simple things.
I didn't paste the ChatGPT response in here (doesn't feel healthy to HN to flood it with ChatGPT responses), I wrote that myself.
Totally! One intended use case of this integration is that it allows you to move easily to a more scalable orchestrator if you hit limits of Airflow
Take advantage of this remote workers, replace your crappy Staples/Officemax/Gamer chair with a nice Steelseries or Herman Miller chair for a fraction of the cost. It's 100% worth it.
This is actually smart idea, money does not flow, hence there is no associated transaction cost, instead points are accumulated. Thanks!
>Have you _used_ ChatGPT?

I have, and I didn't find it to be useful for anything I did. I can do what it does with a search engine and trusty C-f. Also, TTS exists.

It's 50% tech and 50% marketing (and I doubt it's 50% tech at that), it's not gonna upend anything. Except maybe increase the authenticity of online scams and make people get more degrees in machine learning. And yeah, make the people that rely on it bound as it degrades their skills.

It's basically the "internet is educationally useful" argument. At some point everyone's gotta use it but you can live without it just fine. And even though people tout its usefulness for everything good, the majority of data transferred is porno.
I like this approach. Troubleshoot what part of the job offer journey you are blocked it. In addition to the advice of 'Find Out', which can be in the form of the OP making a post and doing the above advice, one one area I see other Engineers who are out of the traditional Engineer path often neglect is reaching out within their network.

OP mentioned previous employment and having an undergraduate degree. Is OP still socializing with anyone they met in those environment. Is so talk about this goal to get back into the tech industry and ask for advice and execute. Show your network that you are trying so they can give you feedback.
Banker 1: Ok, over leveraging on real estate was a bad idea, clearly they can go belly up.

Banker 2: Well, let's not get ahead of ourselves. Home mortgages, yes, but a business would never default on their real estate, where would people work from?

Banker 1: That's genius, here's 100 billion dollars, go buy some swaps.

Bankers 1 and 2: pikachu face

Scene closes, title opens, "The Bigger Short"
Morale is certainly important. But so is talking with people. While the whole process is indeed emotionally exhausting, that is a sort of stamina skill that can and should be developed.
Higher up in the thread, the question was about how to ask an interview question that could both test someone's skill and allow you to detect whether something is a bot or not. If I ask someone to code and explain something on a whiteboard and they give me ascii art, I think it did the job of identifying whether they were a bot.
my experience is that chatGPT in its current form is much more of a hindrance than help. it takes longer to achieve the same desired result than just writing it directly. it seems really good at refactoring type tasks (i.e. rename method, move this block to a different routine, etc.) but it needs real ide integration for that to be useful.
My bullshitometer was ringing strongly reading this article.
Meditation and psychology have a specific term for ego, like when referring to ego death. And it doesn't quite mean the same thing as ego in common usage. It usually means a break down of sense of self, this can happen on psychedelics or in schizophrenia. This can also be accompanied with delusions of grandeur, they're not mutually exclusive.
what's your solution? if they're a disgrace we must have been able to get to where we are with a simple change, right? what was then blindspot?
https://archive.is/c5q13
They're gonna try to do it. The battle is not yet lost.
Not really. I'd be extremely happy to be able to produce the same results with less work.
The underlying problem is that human language is imprecise. Even humans frequently misunderstand what each other is meaning when they say things, because very often there are multiple valid ways to interpret a statement.
@data_ders We realized that more than 70% of business data is shared in CSV and Excel formats, and only a small percentage use API integrations for data exchange..So CSV is here to stay for sure..On the other side,data engine is a sub module inside YoBulk.We are trying to automate complete CSV importing workflow..mostly solving the CSV errors in a collaborative way with the data donor..Yobulk's USP is how we show the errors in human readable way.We have written wrapper on top of some open source data validation engines.Yes..I have used apache Arrow..we not competing with Apache Arrow..We are creating an alternative to flatfile.com
Passkeys are just built on top of WebAuthn, which can also use generic platform authenticators such as touchid or windows hello, or fido authenticators like a yubikey.
I've had fun doing bedtime stories by having ChatGPT create a book about a subject & a character names we agree upon. It's a great way to get into reading. In a way, it's similar to choose your own adventure style books. We haven't brought SD into it yet but that would be a fun addition to create images that go with the book.

I've also used ChatGPT to poke fun of family members in a Dr Seuss style short story. Great laugh for the whole family as the short stories have been really good. And people love hearing their names in stories.

I think this gives more people tools to easily create books. Hopefully it improves literature. Much of the books I've read that have been produced in the past few decades have a lot of fluff. Same with video series on Netflix, etc... Plenty of stories created that don't add to character development or the story. Plenty of pages written that don't add to a non-fiction book's value but are meant to add pages to meet a publisher's criteria & come off worse than a college kid increasing font & line spacing.

It'll be interesting to see how these stories compete & which stories get the most recommendations & "authentic likes".
> a mere signpost on a hill.

I tend to think the same due to growing up in the area. It’s like a freeway sign to me. After giving the hundredth tourist from around the world directions to get there… I thought hmm, people really like this mere sign.
I reject this premise. A neural network is not a program, they are essentially huge multi-sheet Excel workbooks that compute a score for a given set of inputs.

Unlike the Excel workbooks made by domain experts, it's almost impossible to even find out what the function of any given cell is in the overall computation. See the effort it took to find the "neuron" responsible for a/an differences in GPT-2.[1]

Neural networks have their roles as a black box, but they are not programs, constructed with intent by humans, to be read by other humans, and compilers.

[1] https://www.lesswrong.com/posts/cgqh99SHsCv3jJYDS/we-found-a...
That's another type of risk, but if all your backups are in backblaze, you're exposed to "single provider" risk which can become very real very quickly (and not only by backblaze going bankrupt overnight).

Of course, that risk may be entirely acceptable; it's all about risk mitigation and trade-offs, not perfect security.
It is notable at the author keeps using frames like "harmful", pathologizing what is really just direct contact with one's sensations and experiences. A less enculturated person might be able to go with the flow they've newly tapped into without fighting it. There's a lot of grasping ego.

The thing they don't seem to get is that what they are experience may just be normal consciousness to many people who don't have a mind that is continually discriminating and sorting. I take more as an indictment of the disconnection our culture creates in people than the practice itself.
Except it's really happening this time?
For most US colleges, 8 AM is 6 hours after the bars close.
Do you know that scene in "Office Space" where that guy says:

"What is it that you do here?" and he says:

"I take the specifications and hand them to the software engineers".

I think our jobs are about to approach that a lot more closely than you might think. Our jobs will be effective translators between what the business wants and what the AI outputs.
With huge companies calling us back in the offices, is this really a big concern?
I'd trust AP or AFP to have pictures showing the environmental damage with the correct context.
Usage based pricing is never the best, outside of a handful of use cases. I can't believe people who work in tech waste hundreds of dollars on a service they could get for 5 dollars anywhere else.
Zoning is extremely arbitrary, especially at a neighborhood scale. You could easily get rid of it and just let the technical limitations fall where they may. They'll differ a lot between different places.

Also newer cities in the US tend to not be denser. Because of zoning.

I've read that converting actual office buildings is tricky and often not worth it outside of all but the most expensive housing markets, but that's different from liberalizing the zoning regime.
Stampy.ai – An Interactive FAQ about AI Safety
Defaults are good. Let them take a bath. Writing down the loss is the only practical way to get the asking rents down. Asking rents in SF are up 55% in real dollars over the past 20 years, but vacancy stands at an all-time high as well. It doesn't make any sense and some process is needed to destabilize this equilibrium.
Looks cool. Wher did you get the robot? Is it possible to buy the hardware?
lol yeah I rendered that and its not even close https://imgur.com/eFhMfYG

Definitely makes me think something is up. I wonder if they primed the model with some extra microsoft content to get better demos.
I built a startup around 2005 based on a variation of OODA that I independently devised before I learned of it. Unfortunately the critical hardware features I needed weren’t caught up yet and it didn’t work out, but the competitors to this day still don’t have feature parity. Thinking in the framework of feedback loops is super powerful.
Doesn't the majority of the market already buy based on trusted reviews or familiarity with the author?

Until the quality of the books improves, nobody is buying these except for novelty.

As for stopping the influx of junk, wouldn't it eventually settle down after all but a few names fail to cash in on this?
The field of parametric complexity deals with exactly this notion. The idea that some things are NP Hard, but this difficulty only materializes in specific and rare instances, and this does not stop them from being solved for most realistic scenarios.

https://en.m.wikipedia.org/wiki/Parameterized_complexity
Due to a lack of "The Algorithm" you actually get much more reach on mastodon with fewer followers.

Users who follow you will always get your posts, period. There is no mechanism which will randomly or otherwise restrict the reach of your posts, it's dependent solely on the number of followers.

No exaggeration, every user I've seen come from Twitter has remarked on this fact. It's a very frequent topic of conversation across the entire network.

The flipside of this coin is that mastodon is bad for Brands. There's no mechanism for forcing your posts into other users' feeds, you need to actually earn followers organically.

Which is to say, mastodon takes work and active maintenance to build and keep a sizable following, but your posts reach 100% of your followers. Because those followers are people who made an active decision to follow you, they are vastly more likely to share your posts to their followers.

Also, all of this is by design. Mastodon was designed for people to connect with each other. Lack of advertising is a feature that mastodon users generally value very highly. To be successful as a Brand on mastodon, you have to actually be valuable to people on mastodon. It's hard, and you can't just throw money to make the work go away.
You can beat a 224ppi P3 display with working auto brightness and auto whitepoint (truetone)?
Reminds me of a similar anecdote from Holly Elmore in 2021 [1].

[1] https://hollyelmore.substack.com/p/i-believed-the-hype-and-d...
Twitter's ability to provide reach seems to be diminishing rapidly, whether mastodon thrives or not. I don't know that they'll ever cross on an imaginary chart over time; it could be that twitter always delivers reach better than mastodon does, but the gap between them is definitely shrinking.

One of the things people keep finding on mastodon is that engagement is vastly higher on mastodon. The same post on both platforms might seem to get thousands more impressions on twitter (reach), but received far more comments and likes and boosts on mastodon (engagement).

Some people are truly pursuing reach, and so far if you want to get the attention of a fast-food brand or congressional staffer, twitter is your better bet. Some people are actually more interested in engagement, even when they didn't realize it was an option since there's so little of it outside the top tier on twitter.
>the Middle Ages, which are held up as a nadir of history.

Mostly as a result of Renaissance- and Enlightenment-era propagandizing. I think we’ve mostly moved beyond that reading of history, thankfully.
For sure. Time and deliverables are the two concerns. Management can define one and engineering should define the other.

If time is defined by management (ex. a Christmas sale), then engineering should estimate which features can be done by then.

But I’ve definitely seen clients try to define both the timeline and the scope of work and that’s not a successful outcome for anyone.
this trick works for infinite sets of the same cardinality and in fact works continuously for the case you are describing. there is a surjective continuous function fron R to R^n for any n
Adopting Our Apartment to WFH
> Markets as optimization tools only work if people are made to suffer their losses when they occur; bailouts subvert the process and pervert the outcomes.

This is such an important aspect of optimization that is often forgotten. Small crashes have to happen and as much pain as they cause, they are nothing compared to what will get heaved if they turn systemic. They have an important function of keeping the players honest and up to date about their risk models. In a world where nobody is allowed to fail, risk taking will balloon monotonically until the entire system fails. This is basically axiomatic.

Real estate investments are again seen as a risk free asset class, where the only way is up. You know things are bad when we have landlords clutching their pearls about having a negative year of returns. This is nuts. The pain is important. It reminds everyone about the left tails and that they should de-lever carefully now, before things get amplified into a systemic crash where controlled de-levering becomes impossible.
Welcome to the dark side.

After enduring a decade or more of Apple, tasting the modicum of control and self determinism you gain from a cheap x86 + linux as a developer, makes it hard to look back. People getting over the threshold of trying is understandably hard due to how easy it is to become entrenched in the ecosystem. Also bad past experiences of getting linux running probably don't help, but it's a very comfy place to be as a dev these days, and pretty much guaranteed to be smooth with certain hardware like a TP.
LeetCode or Hackerrank problems are not only relevant at FAANG. Not even close.
Obviously the hacking is illegal but data collection and disinformation campaigns seem perfectly legal?

I also find it hard to believe 40k sock puppets swayed the election...
"PG"...that narrows it down.
If anyone is looking for an easier way to manage their prompts in production (versioning, templating, caching and testing), please checkout https://trypromptly.com. We built this out of our experience using Open AI's completions API at https://makerdojo.io which is now powered by Promptly. (Testing and sharing are WIP)
They don't have enough lecture hall space or teaching staff to run all the classes midday.
Show HN: Phind.com – Generative AI search engine for developers
Hi HN,

Today we're launching phind.com, a developer-focused search engine that uses generative AI to browse the web and answer technical questions, complete with code examples and detailed explanations. It's version 1.0 of what was previously known as Hello (beta.sayhello.so) and has been completely reworked to be more accurate and reliable.

Because it's connected to the internet, Phind is always up-to-date and has access to docs, issues, and bugs that ChatGPT hasn't seen. Like ChatGPT, you can ask followup questions. Phind is smart enough to perform a new search and join it with the existing conversation context. We're merging the best of ChatGPT with the best of Google.

You're probably wondering how it's different from the new Bing. For one, we don't dumb down a user's query the way that the new Bing does. We feed your question into the model exactly as it was asked, and are laser-focused on providing developers the most detailed and comprehensive explanations to code-related questions. Secondly, we've focused the model on providing answers instead of chatbot small talk. This is one of the major improvements we've made since exiting beta.

Phind has the creative abilities to generate code, write essays, and even compose some poems/raps but isn't interested in having a conversation for conversation's sake. It should refuse to state its own opinion and rather provide a comprehensive summary of what it found online. When it isn't sure, it's designed to say so. It's not perfect yet, and misinterprets answers ~5% of the time. An example of Phind's adversarial question answering ability is https://phind.com/search?q=why+is+replacing+NaCL+with+NaCN+i....

ChatGPT became useful by learning to generate answers it thinks humans will find helpful, via a technique called Reinforcement Learning from Human Feedback (RLHF). In RLHF, a model generates multiple candidate answers for a given question and a human rates which one is better. The comparison data is then fed back into the model through an algorithm such as PPO. To improve answer quality, we're deploying RLAIF — an improvement over RLHF where the AI itself generates comparison data instead of humans. Generative LLMs have already reached the point where they can review the quality of their own answers as good or better than an average human rater tasked with annotating data for RLHF.

We still have a long way to go, but Phind is state-of-the-art at answering complex technical questions and writing intricate guides all while citing its sources. We'd love to hear your feedback.

Examples:

https://phind.com/search?q=How+to+set+up+a+CI%2FCD+pipeline+...

https://phind.com/search?q=how+to+debug+pthread+race+conditi...

https://phind.com/search?q=example+of+a+c%2B%2B+semaphore

https://phind.com/search?q=What+is+the+best+way+to+deploy+a+...

https://phind.com/search?q=show+me+when+to+use+defaultdicts+...

Discord: https://discord.gg/qHj8pwYCNg
I wouldn't be able to do it. I spend a significant part of my day in front of the computer and having to deal with a poor ergonomic of a budget tool would drive me very frustrated. I also have no desire to tinker with my computer or the installation.

But I think it's great to hear these stories and to know that there are people for whom these kind of decisions work.
Self-replying to point out a more well-informed take on Seymour Hersh's recent writing: https://talkingpointsmemo.com/edblog/whats-the-story-with-se...
Crimson Skies?