skysight-inc/HackerNews huggingface dataset:
I agree with the grandparent comment: Puzzles with progression are the best kind, and this is exactly that kind of puzzle. The only problem is that you didn't implement the progression parts yet. But you still can!

When the player guesses three letters, e.g. if they guess BRA, they're implicitly asking whether the answer is BRASS/ZEBRA/?????. For each of those words, there are several ways their guess can be "wrong": (1) The guess doesn't fit this clue at all: none of BRALL, LBRAL, LLBRA is a word. (2) The guess fits this clue, but its placement is wrong: ZEBRA is a word, but we're actually expecting ___ZE, not ZE___. (3) The guess fits this clue, but it's not the expected word: BRASS is a word, but only the A is in the right place to match the underlying expected word. ZEBRA is a word, but none of the letters are a match.

You should surface some of that new information to the player. You could do that Wordle-style by just surfacing it automatically with no further interaction; or, since there are sometimes different kinds of new information, you could let the player interactively choose what kind of new information they'd like to see as a reward for their guess: See which letters are right? See which placements are right? And so on. And, since there are three clues in play at once, maybe you allow the player to get new information from only one clue per guess.

Concretely: The clues are SS/ZE/LL. The player guesses BRA. You fill in "BRASS" and "ZEBRA" in yellow and "BRALL" in red. Tools appear to the right of BRASS — "Check placement" and "Check letters" — and also to the right of ZEBRA. The player clicks "Check placement" on ZEBRA and gets a negative response (which is recorded visibly somehow). A new prompt appears. The player guesses PAR. You fill in "SPARS" in yellow, PARZE and PARLL in red. Tools appear to the right of SPARS. The player clicks "Check letters" and the A turns green, indicating that the first word has an A in the third position. (Maybe the second S also turns green, and the first S turns yellow — Wordle rules. But that feels redundant with "Check placement.") Alternatively, the A turns yellow, indicating that there's an A somewhere in the correct three-letter answer; and the P and R are grayed out on the keyboard. A new prompt appears... And so on.

This kind of progression would make the game much more engaging!
Why single out Boeing? What about Lockheed, NG, GD, Leidos, Booz Allen, Hamilton, etc.?

Are all these companies "victims" of "planned economy"? Do you have any evidence that they are experiencing the same multitude and severity of issues as Boeing?

> It is indeed an example of what fruits use of the defense production act might bear.

What fruits are those, exactly? Are these fruits worse or better than an already bloated military-industrial complex? Please, elaborate.
I think that neither side has a convincing argument in these discussions, actually, I'm pointing out that both extremes - anthropomorphism and stochastic parrot - lack any foundation, so I wouldn't be so confident. The behavior of neither statistical models nor biological systems is well understood. It's entirely possible that every trait you consider human can naturally emerge from a dumb statistical model, and indeed certain processes are remarkably similar as the models get bigger, smarter, and have better training data. It's possible that it can't, however.
The full data overview is pretty interesting:
https://ourworldindata.org/ethnographic-and-archaeological-e...

Reexamining the chart, you're right, it is in fact the full data analyzed. It's fair to reconsider at this point, but I think my initial reservations about the selection of the data still apply - author did not choose the 25 most deadly tribes, but he did choose only data for which violence was the subject. Ostensibly, there must be some under-representation among peoples that didn't leave mass graves, burned villages, etc.

So we see a 100x increase over modern day USA murder rates among chiefdoms and anarchic tribes, which who knows how much of the population that represents. Again, I also take issue generalizing from that.

For example, here's the same author estimating state deaths. https://ourworldindata.org/grapher/share-of-violent-deaths-s...

So, how many lived in states vs tribes over time? And where are all the other states and tribes? I'd expect a power-law relationship, with the worst atrocities being highly visible, and a long tail of less-awful areas to live. The problem is did lots or a little people live in those places

All I'm saying is "Was life basically nasty brutish and short for everyone?" I doubt it was all that bad, though I would never want to go back.
I don't think there are HDDs that can read 300MB/s
Pretty sure recent browser security features will break that.
For recording and editing certainly, just not for your output file for distribution and listening to.
But we don't know how to train those to be good yet. It would require some novel step there, and it is unclear if it would still be anything like current LLMs after that.
And sometimes you can have two things that everybody agrees are different species but which happily hybridize (with fertile offspring) all the time!

https://www.princeton.edu/news/2020/05/07/gene-flow-between-...
Can you share example videos?
Sure thing.

People really don't learn the history of AI any more apparently or this question wouldn't come up all the time.

There is basically any number of questions you can ask a two year old human who have never encountered that question nor anything even remotely similar to it and yet they can answer without fail. Meanwhile absolutely no AI can answer these unless the specific question / the rules underlying the questions were previously fed into it. The textbook example is "If Susan goes shopping will her head go with her?" Of course, since this specific question is literally a textbook one, you can't fool an LLM with it but it's easy to come up with brand new ones.

In the early 1980s this stopped Douglas Lenat who has worked very successfully on discovery systems and made him turn to assembling these facts and rules into CyC.
Abstraction and the Bayesian Occam's Razor
Reminds me of Heynote, posted to HN recently[0].

In general I think this approach of "super easy capture into an append-only log" is great, especially if it can be paired with features to enable editing/re-discovery/search/synthesizing old ideas together, which exist in a separate view/mode from the "just get something down as fast as possible" mode. Working on something like this, but just in nights/weekends free time with other obligations, so it's been slow going.

[0] https://news.ycombinator.com/item?id=38733968
So does the program

while True:
print('a')

GPT-n (not chat) generates continuations to text in which the probability distribution for the next output it produces matches the distribution of outputs after similar text in the training corpus, by most metrics you might examine. Trivial examples of those metrics include word and n-gram frequencies, but also it turns out that at sufficiently low loss that looks like "given a couple of input texts and a context which affords insightful commentary, produce insightful commentary at the base rate".

There are, of course, caveats. Notably:

- ChatGPT has its own stuff going on around chat tuning, tool use, tuning to be less likely to produce outputs OpenAI doesn't want, etc

- The statistical regularity thing is not magic. If it requires more than n_layers steps of computation to determine the sensible next output, the model will not be able to do that. I think the canonical example here is usually having the model complete something like "'d072c916029965a7676da4244160c413e31bc8a0' == sha1('I saw it on hn'); '265149165fcb742a900a44b8f123885dc6ac5d12' == sha1('" and then having the model brute-force sha1 -- obviously it's not going to be able to do that.

- The model generates text sequentially, one token at a time. This is importantly not the process by which most text in the training corpus was written. So in the cases where earlier text importantly depends on text which was written earlier temporally, but which occurs later in the string, the model will be likely to make mistakes (where a "mistake" is "writing text which is statistically surprising, relative to the training corpus").
Why can't I trigger a blue screen crash by injecting the magic key sequence?
Same. I saw a very productive friend just build a list like this:

- Thing to do
- Subtask before that can be done
- Another level deeper
- Another task

And he just deleted things from the list when done. I adopted it and quite like it. I've tried keeping it in git, using some tool, etc. but in the end the Notes app on Mac with the same format helped because I dislike the strike-through stuff. It just occupies cognitive space. Just deleting feels better.

Notes.app is nice as well because if I have it on a hot corner I can access it easily.
One solution to this problem is to have two dictionaries. One complete dictionary and one common dictionary. You pick puzzles using the common dictionary and then check the obscure/complete dictionary to make sure there are no alternate solutions.
A nice hack for building a small keyboard/macro pad that is 80% of the way there is to buy one of those cherry mx key testers, a microcontroller dev board of your choice, and a small lipo. All together it might cost you something like $40 depending on how many keys your key tester has and you should only need a soldering iron and some wire to put it together.
Yes, and they have a very… mixed… history.
Perplexity Labs also has an open demo of Mixtral 8x7b although it's nowhere near as fast as this.

https://labs.perplexity.ai/
Well, they use trained chemists and not drug dealers. Its easy to correctly dilute a compound if you know what you are doing. They already do it for the fentanyl used in hospital settings without much risk, for example.
They are pretty closely tied, and are directly building atop GPT4V for this, I would not bet that they are this decoupled.
About 20% of smokers escape that way. Enough for everyone to know one, but the odds are still not in your favor.
(YugabyteDB Developer Advocate here)

@flagged24 If you can send me more info about your migration problems, I would love to look at it (fpachot@yugabyte.com). The postgres-compatibility, performance, and YB Voyager are improving from feedback.

The default parameters may not be the best to try an existing app. Here is a docker image I've made with the best defaults for a quick start: https://github.com/FranckPachot/yb-pglike to check the compatibility, and then look at more tuning.

@gunapologist99 I'm not a big fan of benchmarks, especially on products with fast evolution. The best is to test with something that is similar to your app and open an issue (github, forum, slack) if it is slow to be sure it's not a configuration issue, or bug recently fixed.

Franck
Yes, exactly -- Google is the new Yahoo.

It's no longer about training a great algorithm to find great results -- but hand-selecting the most anodyne, least interesting results for everything using a small army of human and AI reviewers.

Not to mention how it ignores half of your query terms for no appreciable reason.

The ultimate irony now is that Google's ads are usually more relevant than their organic search results -- because they actually care about the ad experience.
I prefer "thinking in sets". Either way, folks try to map objects and structs to their databases (I blame ORMs personally) when the analogy just isn't so. It's like translating French to English word by word and wondering why folks have trouble understanding you.

As for SQL being too much like English, making the syntax closer to a general purpose functional programming language isn't necessarily an improvement in my opinion.
nothing about that will stop a cease and desist.
Credential stuffing attacks are detectable and preventable, which is what you're describing. When detected (trivial with the right tools), you can then require users to reset their passwords for the suspected accounts (with the traditional "check your email for reset link" dance).
The ol' hug of death. Or perhaps a C&D?

edit It loaded. Definitely hug of death
The FTC’s power only extends to commercial activity, and in this case it appears limited to implied (impersonated) commercial endorsements.
> Can you factory-reset your phone and check if the issue persists?

This is a big red flag for organizational dysfunction. When the QA team puts up a big roadblock to even filing a bug, wants to play 20 questions for every bug report, it's a way to just avoid taking bug reports.

But why avoid the bug reports? Someone in QA is being measured on them, or a 2nd layer (the engineers) are being pressured by a 3rd layer (management) to ship new features at high quality and not "waste time" fixing bugs. Maybe the bug reports won't be fixed anyway.
So we’re measuring flatpak separately how.. if I’ve installed Steam via Flatpak instead of Pacman? So I fall into Flatpak, and not Manjaro? Am I missing something? That seems flawed.
You can tell that's absolutely what its for because right after the turn you start seeing the static from the electrons messing with the camera.
That's not unique, and also, it's often the trap of any productivity tool; doing things in the tool becomes a productivity goal and gets you the feeling of productivity in itself, instead of the tasks it's supposed to help you organise.
A nice thing about Org-Mode is that you can keep an active todo list in one file for daily tasks and then at the end of the day send all done items to an archive file (C-c C-x C-a). That way, you still have all your tasks in a searchable format if you ever need to go back to them, but the active file — which you open each day — is small and snappy.
People don’t want to be impersonated by deepfake.

Artists don’t want their art style copied.

Writers don’t want to be out of business or have the price of their work degraded by GPT spam.

There are a lot of things people don’t want AI to do, but I can’t want for them to use AI to remaster Star Trek Next Gen (and other old sci-fi) into 4K. This kind of application hurts nobody.
They've accepted credit cards for quite a while here in Washington. I don't know about California.
I (only) ran a couple of prompts but I am impressed. It has the speed of gpt 3.5 and the quality of gpt 4.

Seriously considering switching from [open]AI to Mix/s/tral in my apps.
No. The same cookies are added to both the host and guest pages.
In the meantime the repository moved to: https://github.com/opensoldat/opensoldat
After MM sold the game to someone else I felt like it would be better to make sure the name is different as the new owner had different plans and did not want to continue releasing the source code.

Later someone unknown hijacked the original url and copied an outdated version of the repository (you can see the mention of OpenSoldat.)
I went to Death Valley in early January. I didn't kayak but I did see the temporary lake. It's absolutely beautiful!
Following through the HDPE link in TFA, it leads to a seperate latimes article. Pulling from that:

> In 2010, volunteers with the California Coastal Cleanup removed 65,736 plastic bags of all kinds from the shoreline, water, watercraft and coastal recreational areas.

> Coastal Cleanup Day 2016 was held before the statewide ban was in effect, but between the 2010 and 2016 cleanups, dozens of cities and counties across California had enacted single-use plastic bag bans of their own, including Los Angeles. The effect was noticeable: In 2016, only 24,602 plastic bags were picked up.

I'll grant you that it flattened out after 2016 a good bit, but getting nearly 63% of the way there is at least approaching the 80/20 rule - indicating the statewide ban had a measurable impact and got people most amenable to the change to make the small sacrifice to bring their own bags
but does it have a REPL?

Lots of BEAM's runtime interaction capability is lost without one.
> The other commenters remark that you ban the entire space below the spammer, is a subjective judgment call they would make if they're the one paying the operate the servers and not wishing to use their time and energy to subsidize someone's desire to abuse the internet.

How are people lying on the internet and me having a discussion about it somehow me acting in bad faith? I've made it pretty clear in this thread that I don't care for lobsters, but I haven't made any arguments, at all, in bad faith. If anything, I'm trying to help the commenters by informing them of how spam networks work. So far, I've only been told that I'm wrong. So, whatever.

And yes, treating the nodes closer to the root with "favoritism" by not banning all their children and then banning "further away" nodes by banning their children (and parent?!) is almost a textbook definition of nepotism if nepotism extended to trees.

Being suspicious of dormant accounts, is not nepotism.
I am not sure I understand what you say (despite having read your message several times), but pointers don't have all the same size. Not always, at least.
(void* is supposedly big enough to contain any type of pointer, even if I think I remember I read that it's not necessarily true for function pointers).

And if the size of "void" and "char" aren't the same you cannot push two void* on the stack and pop two char*.

But, like I said: maybe I didn't understood what you said.
I appreciate the well-thought-out comment. I'm reluctant to imitate Wordle's style of successive partial confirmation, which I feel is a tired pattern now. It feels like there's a trillion [*]dles, all of whom operate on that principle. It might have made a better game in a vacuum, but in the context of that deluge is it still better? I'm not so sure.
I'm guessing you're younger than 40.

At some point, either your jobs novelty will wear off or your memory will just degrade.

what happened to me is the lack of novelty in day to day and long term plans created a lot of unreliable data. having done a task multiple times, recalling the latest event details became a mixed bag of questionable facts.

I still have the same capacity but now because I had such a great capacity it's redundancy causes issues.

just take note.
I clicked thinking it was going to be about one-time programmable memory.
Clearly yes since there hasn’t been any cases of weaponized botox attacks. This probably goes to show old fashioned ways of terrorism are significantly easier or more effective for whatever reasons. If botox was an attractive weapon it would have been used already but clearly there is some Great Filter in place preventing that today.
Mixtral 8x7 is good, but it is not GPT-4 good in any of the use cases I have tried. Mistral’s other models get close and beat it in some cases, but not Mixtral.
Seems like this is broader than just AI impersonation. It also would include a person claiming to be from the government when they’re not.

> Falsely imply government or business affiliation by using terms that are known to be affiliated with a government agency or business (e.g., stating “I’m calling from the Clerk’s Office” to falsely imply affiliation with a court of law).

My first thought on this was great, I’m glad the FTC is doing something about this and I’m surprised it wasn’t already regulated by the FTC.

My second thought was the majority of this type of fraud is probably from foreign impersonation, not Americans. And it’s not like they’d be sending in predator drones for surgical strikes against scam call centers, as satisfying as that might be.

My third thought was that having this on the books and keeping a record of these violations will give the FTC leverage to crack down on telecoms that don’t do anything about it.
I wish there was an option to export whole session chat, say in plaintext as a link to some pastebin, that chat I just had with groq would have some ppl I know really impressed
There's also org-journal, where a global keybind (I use the recommended C-c C-j) adds an empty timestamped item to a dated file.
> Seek is not “by” iNaturalist.

This is one of the stupidest comments I've ever seen. The app is provided by iNaturalist, and its name is, literally, "Seek by iNaturalist".

Check it out: https://www.inaturalist.org/pages/seek_app
> - I consider gas cars more robust in the face of natural disasters or sudden need to get far out of the Bay Area for whatever reason (zombie attack).

I use about 10% battery per day and charge every night so my EV is on average “fuller” than my ICE ever was. Couple that with the ability to carry solar panels and charge in the middle of nowhere - doesn’t that give some pros to the EV in case of zombies? No engine noise either ( but I’m sure they’ll hear the heat pump if close enough ).
Except that’s not actually true. While overall California leans Democratic, there are substantial pockets of Republicans in the north and in the central valley.
Sir, I envy you, but you are not living in an apartment in a city.
No, molten salt reactors are not the right technology for nuclear propulsion. The idea of a nuclear thermal rocket engine is to heat up very light molecules to very high temperatures, and so to achieve higher exhaust velocities than chemical rockets. If you plug a higher exhaust velocity in the rocket equation, you end up needing less fuel mass for the same cargo mass. In practice, the best nuclear thermal rockets achieve a lower temperature than chemical rockets, but they can dedicate it to heat only hydrogen (H2), rather than the combustion products in chemical rockets (such as H2O or CO2), so overall the exhaust velocity can be approximately twice as high.

Still, temperature is quite important, you want the core of the reactor to run as hot as possible. You are limited by the fact that you don't want the core to disintegrate. The NERVA project [1] achieved temperatures in excess of 2200 K.

Molten salt reactors are designed to reach about 1000 K. That gives up most of the benefit of using a nuclear reactor. You would still beat chemical rockets, but only by 25%, not by a factor of 2. Why would you do that? If you build on the NERVA project and use TRISO fuel (which was not available at the time) you can end up with a specific impulse of more than 1000 s, which is 2.2 times higher than what the best chemical rockets can deliver, and 2.85 times higher than SpaceX Starship.

[1] https://en.wikipedia.org/wiki/NERVA#Reactor_and_engine_test_...
I know when I need an air purifier, I look to Rolling Stone Magazine for an honest, accurate review
lazyweb: https://github.com/koush/scrypted (regrettably the licensing is "it depends" https://github.com/koush/scrypted/blob/v0.93.0/LICENSE.md#li... )

and don't overlook that user's other repos, as seems like there are quite a few fun things in there: https://github.com/koush?tab=repositories
> LLMs aren't designed to emulate human cognition

I'm not sure that's fair, or correct. The behavior of an LLM is set by the design of the combination of loss function and training data. Achieving it is the desired result of the selection of those.

> It happens that they seem to exhibit some similarities to human cognition as a side effect

Yes, the desired behavior of nearly all LLM projects is to emulate the capabilities of human cognition, and that stated goal is the justification that organizations are using for spending millions to train them.

> but that does not mean they are on some developmental path to a "full human" like a child.

You are the first to suggest any such thing, in this comment chain. But, the field of AI is objectively on that development path, since that is the stated goal of many of the orgs, with LLM existing on that path. If that path actually leads anywhere is anyone's guess.