skysight-inc/HackerNews huggingface dataset:
I've been trying GPT-4 for the past few weeks on some more generic (technical, not business domain related) but difficult problems for a side project.

The harder the problem the more its help tilts into net-negative rather than net-positive.

I've had it output a lot of issue-solving suggestions that are in direct logical contradiction with previous constraints I've described. Sure it corrects when I explain that, but frustratingly enough, after a couple of exchanges it forgets again (going around in circles).

However, for getting the basics down while learning a new domain its quite amazing. There are no stupid questions!
If you want a good quick summary of the definition I've been implicitly using (which is in fact the basis for most actual private property law and is not at all "exotic"), "private property" is any rivalrous good--i.e., any good that, by its nature, can only be used by one person at a time: one person's use precludes use by another person. (There are edge cases--for example, multiple people can ride in a car even if it's only considered the private property of one of them--but they aren't relevant to the discussion we're having here.)

Or, if you want to get more technical, "private property" is an agreement we all make with each other to assign an owner to every rivalrous good, and to respect that owner's right to control how the good is used. We do this because a society in which this agreement is made and respected will be much wealthier than a society without it.
I mean, can't you just use the laptop?

I see the value proposition that this has in the particular case of Framework where you update certain parts, but the vast majority of laptops cannot have any change beside the RAM (if you're lucky) and the storage (same).

So in those situations, the best PC case is the one you already have: the laptop.
React was the same in 2014, Give Svelte time.
> (1) It only works on one architecture. Even this architecture may change optimal alignment requirements in future, which glibc would transparently handle for you.

A portable solution (on any POSIX system, actually) for the stack switching would be to jump to the new stack using sigaltstack and initialize a sigjmp_t context (i.e. setjmp) from the signal handler. After calling clone you conditionally invoke longjmp based on the return value. This works because setjmp and longjmp are compiler builtins; but if not, use __builtin_setjmp, __builtin_longjmp. (You can pass the sigjmp_t context using the same trick mentioned in the writeup. And of course this also assumes the compiler won't emit stack-dependent code between the syscall and longjmp.)

You still have the problem of implementing the syscalls, though. But maybe if we scrounge around we can find solutions. On some architectures the vdso Linux maps into the process address space has a syscall implementation. And maybe there are similar compiler builtins for other architectures, or macros in the Linux header files with the necessary inline assembly.

As a learning exercise this type of stuff is fun ;)
Don’t miss his breakout single “Lemon Poundcake”.
I’m not going to argue, and I think I may have made a similar point if I had come across my comment, but that’s why I chose to say “significantly”. Any startup could certainly “use it now”, but the higher your valuation the higher the scrutiny and history is littered with companies that had to close shop once it was discovered they were cheating. You can probably get away with it when small, probably weather the storm if you’re big, but in between is a danger zone.
Fine-tuning is a solved problem using transformer adapters which are fast, small and match regular fine-tuning, so that's not an issue. As for smaller models, their usefulness will quickly wane when they will be seen as producing trivial gibberish in the light of cloud models available in 5 years.
Hopefully they do not feel free the pressure to "move fast and break things" because this in turn has the ability to "move fast and break everything"
Most of Palo Alto and Menlo Park are within an easy bike ride from campus. You can mostly stay on pleasant tree-filled residential streets as you admire the multi-million-dollar cottages. Though as others have commented: few undergraduates live or party off-campus.
NSA inventing crypto honestly seems like one of the less implausible conspiracies. I mean they basically compromised Tor already.

They have a vested interest in tracking decentralized communications and assets.

The pseudonymous nature coupled with its public ledger actually make it great for an NSA type entity to track fund movement by people who think they are operating in the darkness.
> and the way they engaged with employers, potential partners and such was much different than most people

Could you elaborate on this a bit? I can imagine what might be different, but I'm curious what it was like in reality.
This is about Sam Altman types rushing to win the ML race. We can reasonably expect civ ('the village') to be disrupted ('poisoned'), but instead of that counting as a reason to not do it, it counts --- somehow --- as a reason to do it harder, so we do it first.
It's also ... if not absolutely necessary, then tremendously helpful to the process ... to observe the subjects' expressed understanding and see if that matches the lesson or message you're trying to convey.

This distinction to me is what distinguishes various informational approaches, in which delivery is one-way, from instructional approaches, in which the teacher closely observes and monitors students to see what understanding they're forming, and to bring them back on course if they're straying from it.

This is challenging at scale, or at distance, or over time (e.g., in writing a book that's used passively in instruction). It's a chief reason I suspect that various methods of scaling instruction perform poorly. It's why even generative-AI approaches to machine-guided instruction are likely to perform poorly --- such tools can explain material or respond to prompts, but it seems don't of themselves address the monitoring-and-guidance approach.

That said, in technical contexts whether in school-based teaching, professional training, or marketing support / vendor-based instruction, efficacy can be hugely improved by adding this step.
I think the issue is making mountains out of molehills.

If you have ever been subject to the faceless institutional processes judicial, or non-judicial, they can be weaponized in a way that forgets there is a human on the receiving end. We need to be careful when things go overboard with applying the letter of the law and forgetting the spirit of it which is about justice.

Sometimes, the punishment is the process.

> Stanford now has more than 10,000 administrators who oversee the 7,761 undergraduate and 9,565 graduate students—almost enough for each student to have their own personal butler. (There are about 2,290 faculty members.) These bureaucrats make up an increasingly powerful segment of the university population, as they expand their portfolio and send the message that all conflict should be adjudicated by them. (OCS reports for the 2022–2023 school year have not yet been released.)

This bothered me, and this series of occurences in Academia sounds exactly like what is happening with medicine these days.

A bunch of administrators that are not educators ((or physicians) , or professional law enforcement, or judges, or prosectuors, all having professional, and advanced legal educations )) that desperately are in need of work to justify their raison d'être.
I would like to propose an addition: “Business can’t charge the consumer’s card if the consumer has not been actively using the service for last 90 days. Active is defined as significant usage. Significant is defined as consumption equal-to or greater-than a median user in the same pricing tier.”
LoRA is an alternative to traditional fine tuning (which is usually done on specific layers as you mentioned).

To quote the LoRA paper[1]:

> We hypothesize that the change in weights during model adaptation also has a low “intrinsic rank”, leading to our proposed Low-Rank Adaptation (LoRA) approach. LoRA allows us to train some dense layers in a neural network indirectly by optimizing rank decomposition matrices of the dense layers’ change during adaptation instead, while keeping the pre-trained weights frozen

It's truly revolutionary: It basically lets you create a very small "diff" which you apply yo an existing model and it is suddenly fine tuned. These diff models are very small (5M for example).

[1] https://arxiv.org/abs/2106.09685
Ask HN: Will ChatGPT free software be the non-GMO equivalent of food?
Will software certified GPT free be the equivalent of organic/nonGMO in the food world? I am not making any claims about the actual validity of the assumption just the perception that 100% human coded software will in the future have a higher perceived trust factor?
I saw this on Twitter that seems to do what you want: https://www.rewind.ai/

I haven’t used it but your comment reminded me of it!
Does it need RLHF to make sense?
Lots of things with Apple come out of nowhere. In this case there's actually quite a bit more evidence than usual because of all the fielded, underutilized hardware that's ready to go— when it launches, it'll likely be available on millions of devices, rather than as something you have to get the latest hardware to have, as is the case when the camera or screen undergoes a drastic improvement, or there's a new feature like wireless charging or NFC payments.
I’ve also read that some companies do this (overprovision job listings and make them difficult / impossible to match) to prove the need for H1B visas, presumably to open the market up to cheaper employees.

Not discussed in the article: The “resume firewall” (resume filtering software) also seems to be a significant hurdle for applicants and likely causes misallocation of hiring resources if it is misconfigured for reasonable applicants. It’s possible that some positions actually exist and might match listings, but no applicants can manage to “press all the right buttons” to get interviewed.
You are naturally exposed to less social situations like this if you don't go to school. The game goes for people who do not go to university.

Very possible to learn how to navigate this kind of stuff without being in those environments, but you get a lot less exposure.
> The faster we build the future, the better.

Past performance is no guarantee of future results.
This is amazing. This is my all-time favorite app ever and it's two in one because now I can build with it too via these types of tools and integrations. Thank you so much for creating this. ChatGPT is amazing and these capabilities to build with this new friend are truly awe inspiring to me.
I think calculus has very limited utility these days. Rather learn something else. The problem is not the extra effort for that 1%, the problem was the wasted effort overall.

I’m homeschooled, I found college pointless, and I dropped out and made my own way in the world. My brother did the same. We’re both reasonably successful today. I’m understandably skeptical of the educational system.
the soul may well be a cultural construction.

nonetheless, human culture has always had the quality of somewhat existing separate from humans themselves. a big chunk of our culture now is written down.

all this written culture is now more independent than humans than ever before. but I digress. the point is that the soul may well be a cultural concept that literally means that the culture (or the humans) or their gods made themselves out of the proverbial thin air.

now there are machines than can write on their own. in a way all classical computing does is exactly that: rewrite things around according to tables (functions as mappings).

so a soul is something we chose to have, our culture has by this point accumulated possibly hundreds of different 'ways' to develop one but we're fundamentally free such that it's possible to chose not to have one i suppose.
I agree that you're going to see Apple start to push for on-device AI.

OpenAI promotes thin clients - run everything in the data center.

Apple has been a proponent of thick clients - run everything as possible locally.

So, it make sense that Apple will start to promote local LLM support. That's why they pushed Stable Diffusion support so quickly:

https://machinelearning.apple.com/research/stable-diffusion-...
Hasn't Siri remained relatively unchanged for over a decade? I think the most recent innovation was just bringing it to Intel Macs.
Laid Off Right Before Graduation
When the layoffs started happening, I felt secure knowing that I had secured a return offer before my graduation. However, my situation took an unexpected turn as my offer was rescinded upon graduating. Unfortunately, there aren't many job openings in my area, leaving me feeling lost and uncertain about what to do next. Has anyone else found themselves in a similar predicament?
The irony here is that bypassing active learning early, means one only discovers how valuable it is much later in life.

As per article above in which the hubris is its own comeuppance.
I know it's not popular, but I still use "npx create-react-app" and have built successful apps with it. I'm sure I'm missing something, but it doesn't seem essential for my use cases.
Dex

https://getdex.com/
I have a deprecated function and ask ChatGPT what I should use instead, ChatGPT responds by inventing a random non existent function. I tell it that the function doesn't exist, it tries again with another non existent function.

Oddly speaking that sounds like a very simple language level failure, i.e. the tool generates text that matches the shape of the answer but not its details. I am not far enough into this ChatGPT religion to gaslight myself over outright lies like Elon Musk fanboys seem to enjoy doing.
> Men don’t really get the ability to (truly) grasp abstract ideas until the late twenties. Women get that ability earlier

???

What does that even mean in practical terms?
As much as I would like to believe in the rule of law, Microsoft, Google, Facebook, Apple, and others are all going to be able to pour enough lobbying dollars on this to smother any regulations or findings of wrongdoing. AI killed copyright.

For small companies and individuals, however, it’s still very much alive. Napster isn’t coming back.
I'm definitely sure that (at least) Teddit uses official APIs (https://codeberg.org/teddit/teddit/wiki#oauth-vs-non-oauth). Are you confusing it with Nitter (which does use Twitter's undocumented APIs)?
Framework received this review from LTT before they were ever affiliated, so what's the issue?

If you buy a McDonald's share you need to update your Google Maps review of the one in your old neighborhood from 10 years ago to disclose that you are part owner?
> When in human history have we ever intentionally not furthered technological progress?

Oh, a number. Medicine is the biggest field - human trials have to follow ethics these days:

- the times of Mengele-style "experiments" on inmates or the infamous Tuskeegee syphilis study are long past

- we can clone sheep for like what, 2 decades now, but IIRC haven't even begun chimpanzees, much less humans

- same for gene editing (especially in germlines), which is barely beginning in human despite being common standard for lab rats and mice. Anything impacting the germ line... I'm not sure if this will become anywhere close to acceptable in my life time.

- pre-implantation genetic based discarding of embryos is still widely (and for good reason...) seen as unethical

Another big area is, ironically given that militaries usually want ever deadlier toys, the military:

- a lot of European armies and, from the Cold War era on mostly Russia and America, have developed a shit ton of biological and chemical weapons of war. Development on that has slowed to a crawl and so did usage, at least until Assad dropped that shit on his own population in Syria, and Russia occasionally likes to murder dissidents.

- nuclear weapons have been rarely tested for decades now, with the exception of North Korea, despite there being obvious potential for improvement or civilian use (e.g. in putting out oil well fires).

Humanity, at least sometimes, seems to be able to keep itself in check, but only if the potential of suffering is just too extreme.
Obligatory Scott Manley video on the launch and a look at the failure:

https://www.youtube.com/watch?v=qkaYPMgpvIY

They did very well for their first launch. Most impressive.
Maximizing ROI: How IT Asset Disposition Can Save Your Business Money
Check out Bing Chat/Search. It's been doing this for "weeks" now.

Also, GPT "search" is too slow for me right now. I could have had an answer on traditional search by the time the model outputs anything.
I’ll ruminate on the good faith service argument. That sounds like a valid angle. I see many of these app subs are predatory and wished apple provided a way to filter them out of search results. But I don’t consider the offering of the subscription functionality to be wrong. Apples implementation errors on the side of their pocketbook by being an auto enroll, but the signup screen is easy to read. It’s not buried in some TOS. Everyone who enters the agreement did so willingly and presented the terms cleanly. I understand they have a 14day return policy on these as well. At some point, people have to be responsible for their own financial decisions.
This take is spot on. Absolutely. I wish I'd thought of this, it's so true.
> this is also the origin of the "Cacodemon" in Doom

That was my first thought as soon as I read your post.
I just assumed the guys at id picked a cool sounding name for the enemy.
The etymology is always suspect, but at least in this case the outcome does justice. This compares sharply to the bills where similar word play happen...
Your argument is basically the domino effect meme with Stanford Party Policy on one end and Global Culture on the other? I dunno about others but I definitely don't buy it - I think some people just like minding other people's business.

To your point about training future leaders, there is a reason people don't start out training with live ammo. If every element of campus life could randomly and capriciously be escalated to the national stage, how could anyone possibly expect kids to learn how to take risks or make mistakes? (I believe this is true across the political spectrum)

20 years ago this would have been a heated discussion limited to the campus community, which to me at least held the possibility of the sides having empathy for each other. Now, with the polarized, dehumanized nature of our national discourse, I have no doubt that everyone will simply dig in.
How do you explain them wandering around the hospital out of their bodies and reporting on specific corroborated details after they are revived?

Here's a better summary of the evidence: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6172100/
they're freely available on HF, no need to torrent, just search alpaca or llama
I cringe every time I see someone use the term "craft" in the context of computer programming. It feels like a desperate attempt to seek adoration as a "sub-genius" in a poorly understood field. Computer programming is hard because the platform is either poorly documented or changes very quickly. Too much of my professional work is about finding a "super hero" (their term, not mine) solution to a poorly documented problem. It is tiring, and not-at-all heroic. Coding bootcamps have taught us that when you tear down the gatekeeper walls, more people can write CRUD apps (that the world actually needs) than ever thought before.

As a counterpoint: Look at the history of the libxcb: https://en.wikipedia.org/wiki/XCB

[Bart] Massey and others have worked to prove key portions of XCB formally correct using Z notation.

That sounds like math to me. Or is it "craft"?
Not exportable often means just not available on the Internet at all. Due to a range of factors, such as the dilution of human content online, the inability to prevent bad actors from using it etc I would rather this tech never saw the light of day and was limited to government and research institutions.
You're seeing this because the model isn't instruction fine-tuned. You'll need prompting similar to the original GPT3 or Llama models.
It's an interesting feature, allowing organisations to verify their employees without having to jump through the old Twitter hoops or buying a verification through shady people like in the past. It does require a high barrier to not be misused but I'm not convinced this is it.
Definitely try to power through Mad Men, I tried to watch it a few times when I was younger but never got past season 3, whereas season 4 is where the real heart and message of it shows through, and the character development reaches new peaks. Really does seem like a show that resonates more when you are older.
I'm not a customer, but Vultr offers a free control plane [1] unlike other managed k8s providers. You only pay for the nodes you use.

[1] https://www.vultr.com/kubernetes/
There's a big community of people out there doing just this - https://www.youtube.com/watch?v=Ao1mwEcPsEk

https://cellsaviors.com/blog/how-to-salvage-18650-cells
Yes and no.

The training process is modifying the network weights. These are usually written to copies of the file instead of overwriting it (because what if the loss is actually worse after an epoch of training?)

But there's nothing stopping inference from occurring on a model that is being trained.
Blazor Webassembly looks a little verbose, but you could probably figure it out without a bootcamp.
I've seen this time and time again when attempting to implement a centralized design system across a group of existing apps.
> OK, so when people have some talent, skill or knowledge that needs to be conveyed to the world and they can't get their point across effectively then what are they to do?

Try, and try again.

Put yourself in the shoes of your audience. What do they know already? What will they think when you say this or that? Is that what you want them to think?
> Few ideas are as unsupported, ridiculous and even downright harmful as that of the ‘human soul’.

Immediately stopped reading. I used to think Aeon was top quality, but this is hubris dressed up as radical materialism.
Sociologist Matthew Desmond on why poverty persists in America
Desmond's "Evicted" was thorough and enlightening, at least for me.
It’s a problem of scale. If grandma could autonomously pilot a fleet of 500 cars we might be worried. Same thing if Joe Shmoe can spin up hundreds of instances of stock trading bots.
My concern is more about business than technical factors. The NRE for such a module is going to be significant so the addressable market needs to be pretty big to justify it. Third-party modules could also get killed off by first-party ones that come later.
The best way to start a react app is to use Svelte.
Point me to the state shutting down all its conventional power generation.
Thanks. Alas, this is more annoying for adjusting the URL on mobile. Previously you could just double-tap the “www” or “old” and type “i”.
+9000 for your post.

The ugly part: The nested-8-deep solution was faster to market and costs less. And, it will be thrown away in 6 months during the "big rewrite after we scale". So the perfect-is-the-enemy-of-good state machine solution written by an expensive engineer has less value. Oompf.
The i.reddit (compact reddit) was good on phone

Although there were issues with invisible edit button
You seem to have accidentally inserted the word "overall" into what you thought the above poster said and gotten angry about it