skysight-inc/HackerNews huggingface dataset:
Language is fuzzy in exactly the same way. LLMs can create factually correct responses in dozens of languages using endless variations in phrasing. You fixate on the kind of questions that current language models struggle with but you forget that for millions of easier questions modern language models already respond with a perfect answer every time.

You think the probabilistic nature of language models is a fundamental problem that puts a ceiling on how smart they can become, but you're wrong.
Yeah totally, that's the official meaning. But also, its kinda both - like, I'll take the free 15% a year, im not crazy, and its what the government promises.

But its not like that money is from choosing wisely what to invest in and taking on risk, I'm literally putting it all into index funds its dead simple. The only trick is to have money.

I have no problem with the government deciding that this is unfair. Its not fair that I get free money for having money already and other people don't.
There is a stronger argument to be made that it was because of the establishment of Buddhism as the de-facto state philosophy/religion/practice in North/Northwest part of India that the Islamic invaders could conquer India. Buddhism for all its intellectual/ethical/moral strengths was not a pragmatic religion. It ignored the realities of Life in favour of higher ideals in a context ill-suited to its survival and hence paid the price at the hands of barbaric muslim invaders. This happened through the elevation of Ahimsa into an all-encompassing tenet of state policy which severely sapped the Martial Spirit of the population and thus could offer no resistance to invaders bent on genocide. Prior to Buddhism (and Jainism) while Ahimsa was considered one of the central pillars of Hinduism its limitations in the practical world were acknowledged and Kings were expected to protect by force if necessary, those practicing Ahimsa as a way of life. With this gone, North/Northwest India was easy prey to barbaric muslim invaders who did not play by the same rules.
Good to hear that it self aligns.

My battery bank is 72 Wh...

On the other hand, I've had battery banks abruptly stop working for no reason and I'd love a repairable one.
This is a brilliant hypothesis deconstruction. I am sure others will now be able to test as well and this should confirm their engineering.
So this always overwrites the device to test it, and I was wondering if that was necessary (say, you had started using it). Presumably you only need to write at most N+1 blocks, where N is the number of blocks the device actually has.l, in order to detect exaggeration. But at that point the fake device will have overwritten all of your files anyway, even if they were theoretically on different blocks (of the exaggerated inventory). So I guess the minimum harm to test a device is to hash all your files, then write at most N+1 (unused) blocks, stopping after each to check if any of your files got harmed. In theory that risks at most one block...

Of course, it's better to back up the suspect one.
Transformers have exactly two strengths. None of them is "attention". Attention could be replaced with any arbitrary division of the network and it would learn just as well.

First true strength is obvious, it's that they are parallelisable. This is a side effect of people fixating on attention. If they came up with any other structure that results in the same level of parallelisability it would be just as good.

Second strong side is more elusive to many people. It's the context window. Because the network is not ran just once but once for every word it doesn't have to solve a problem in one step. It can iterate while writing down intermediate variables and accessing them. The dumb thing so far was that it was required to produce the answer starting with the first token it was allowed to write down. So to actually write down the information it needs on the next iteration it had to disguise it as a part of the answer. So naturally the next step is to allow it to just write down whatever it pleases and iterate freely until it's ready to start giving us the answer.

It's still seriously suboptimal that what it is allowed to write down has to be translated to tokens and back but I see how this might make things easier for humans for training and explainability. But you can rest assured that at some point this "chain of thought" will become just chain of full output states of the network, not necessarily corresponding to any tokens.

So congrats to researchers that they found out that their billion dollar Turing machine benefits from having a tape it can use for more than just printing out the output.

PS

There's another advantage of transformers but I can't tell how important it is. It's the "shortcuts" from earlier layers to way deeper ones bypassing the ones along the way. Obviously network would be more capable if every neuron was connected with every neuron in every preceding layer but we don't have hardware for that so some sprinkled "shortcuts" might be a reasonable compromise that might make network less crippled than MLP.

Given all that I'm not surprised at all with the direction openai took and the gains it achieved.
It seems its probably more of a shell thing, than a linux thing. I've never run into this as an issue before, but I would wager it's the "Save" muscle memory which unexpectedly causes this issue for some people.
I've given this a test run on some email threads, asking the model to extract the positions and requirements of each person in a lengthy and convoluted discussion. It absolutely nailed the result, far exceeding what Claude 3.5 Sonnet was capable of -- my previous goto model for such analysis work. I also used it to apply APA style guidelines to various parts of a document and it executed the job flawlessly and with a tighter finesse than Claude. Claude's response was lengthier - correct, but unnecessarily long. gpt-o1-preview combined several logically-related bullets into a single bullet, showing how chain of thought reasoning gives the model more time to comprehend things and product a result that is not just correct, but "really correct".
You can actually set it up that way though. You set a process to keep the state and a process to do the work. If the process doing the work crashes, the state is preserved.

It’s a deliberate decision but very easy with the BEAM.
Indeed the "locking up indigenous people for years for saying mean facts on the internet" in the UK seems basically fictional. Have there been real any cases of that? Whenever you read Americans say the awful brits locked someone up for saying nasty things you find it's actually something like saying things plus assaulting a police officer or similar.
You can do that exactly once. Because after that - you won’t have any new startups, new companies, new wealthy people, nothing. Nobody will start any venture knowing the government is greedily waiting to confiscate it all.

Investors will redirect their funds to friendlier jurisdictions. And entrepreneurs will go there too.

One the reasons European entrepreneurs go to the USA to start startups is exactly because the USA did not try this kind of shenanigans, while their native countries did.

As Margaret Thatcher said: “The problem with socialism is that at some point you run out of other people's money”.
I am an ordinary plus user (since it was released more or less) and have access.
The original post I replied asked specifically about the US. Living primarily in the US I've never heard of takeaway.com though from living in the UK the lingo is familiar.

You're not wrong that a lot of company growth is fueled by VCs subsidizing to try and create effective monopoly. So too that many companies use legal gray areas (or not so gray) to try and further bolster competitive advantage.
Mainly the various physical operations many of them perform on daily basis (due to limitations of robotics), plus liability issues in case things go wrong and somebody dies. And finally, huge demand due to aging population worldwide.

I do believe some parts of their jobs will be automated, but not enough (especially with growing demand) to really hurt career prospects. Even for those parts, it will take a long a while due to the regulated nature of the sector.
Absolutely, I've been using fish for at least ten years and have very little config, which was not at all the case before I switched.

The only material thing in my fish config is adding `echo -n (date "+%H:%M:%S ")` to the fish_prompt, which I've come to love having over the years. Consistently really nice to have a sense of when a command started and finished. And `cowsay (fortune -s)` in the fish_greeting ;-).
Woah, and even I was excited for their TBA Blade Runner game [1]. Guessing that's not going to happen.

[1] https://annapurnainteractive.com/en/games/blade-runner-2033-...
Clan Ellison strikes again!
In stage three I have never felt any fear.

I believe what you are feeling in stage four is not your real body on your bed. You probably lost the sensations of your physical body around phases two or three. Rather, by stage four you are already experiencing a dream and you haven't "projected" a particular visual image yet.

I suspect that "astral projections" are nothing but non-lucid dreams in which people dream that they are on their bed without realizing that it's not real.

How much do you normally sleep? To me it sounds like the sort of experiences I have when severely sleep deprived, especially the part about entering REM really fast.
Because public transit is woefully inadequate to get people where they need to go in nearly every city in the US. Even if we were to magically immediately fund this to the levels needed, it would take 10-20 years to build out that infrastructure. (To be fair, need could be met with buses until subways and other light rail is built.)

But people in the US don't actually want that, unfortunately. They mostly like being able to drive around in cities (either their own city, or nearby cities where they want to visit). It's weird to say that, because most people would probably say they hate driving in city traffic. But when the alternative is driving to some sort of park-and-ride and switching to trains or buses, many US residents will prefer to drive.

Let's also not forget that even some of the most transit-heavy places in the world still allow private vehicles. In some (Tokyo especially comes to mind), it ends up usually being more expensive and take more time to drive than to take transit, but people still choose or need to do it for whatever reason.

Your phrasing of "why cities allow" is a common one, but remember that a city isn't its own entity with its own wants and desires. The laws reflect the wants and desires of the voters who live there.
The actual counter-point is that history shows us the exact opposite of what you propose will happen. "Higher tax = more money for our efficient government" is incredibly simplistic and ignorant thinking.

The fact is that lower tax rates actually result in higher tax revenue.
https://taxfoundation.org/research/all/federal/benefits-of-a...
Ok please stop posting as darby_nine. I’d like my turn with that identity. I think it fits with some objectionable conspiracy theories I’d like to promote.
> This vaguely reminds me of that classic "Americans will eventually do the right thing after thoroughly exploring all the alternatives" quote.

Apparently this quote originates from another quote that didn't refer to any specific country.

https://quoteinvestigator.com/2012/11/11/exhaust-alternative...
It’s because he presented what could have been a single chart and did so by basically just reading the data. There was no analysis other than the tidbits about debt to GDP being at a high point. That said, great production and I hope it reaches people less familiar with these budgetary line items. If you’re aware what they are, like I am, it landed pretty flat but if you’re not familiar with them I could see it being quite informative. It’s good to build a baseline of financial literacy that I think we also have a general deficit of too.
This is amazing. It's a shame how western media and governments aim to cover up such information and then try to regulate the movement out of existence... Again under the guise of 'safety'.

If this movement picks up, you know for sure that governments will be doing PsyOps to stage and draw attention to battery explosions and then claim "Look, we told you it was unsafe." Disgusting.
Reported Dreamcast addict Tim Walz is now an unofficial Crazy Taxi character
I believe that is the case. Out of curiosity, I had this model try to solve a very simple Sudoku puzzle in ChatGPT, and it failed spectacularly.

It goes on and on making reasoning mistakes, and always ends up claiming that the puzzle is unsolvable and apologizing. I didn’t expect it to solve the puzzle, but the whole reasoning process seems fraught with errors.
> It glows purple while it's heating

This is not correct, it pulses blue indicating the iron is heating, and when turned off, pulses purple while cooling.
I believe the post you replied to is referring to the total share of Federal income taxes collected paid by the percentile of returns.

i.e. the top 1% of tax filers by income paid nearly 50% of all taxes collected.

This is accurate per the latest statistics released by the IRS, for tax year 2021; the top 1% of returns paid 45.78% of all taxes collected.

https://www.irs.gov/statistics/soi-tax-stats-individual-stat...
Foundation Models for Neuroscience
Oh yeah the save muscle memory is burned into me too, despite having save-on-blur enabled for the last decade. More wondering under what context ctrl-s is having an effect on shell, and what that effect actually is. Is it bg/fg shenanigans?
And voting.
I cannot agree more! Fish shell is the absolute best! I think I may have switched over to it in 2017 _because_ of Julia's blog. And it has been a boon for my productivity.

I set up a whole dotfiles tracking system and periodically keep making backups of the config. Fish has been sole system that has travelled with me to different machines, different companies, running on Macs, running on Linux, running on personal laptops, iMacs, and so so many different versions/instances of workstations on the server in docker, in aws etc etc.

I worked at Amazon in 2017 and we had a whole "developer environment" system built off of Apollo and my Fish config fit right in with the company-defaults for various build systems, log systems, metrics yada yada. I wrote myself a ton of nice aliases, new functions, new scripts.

I moved to Apple in 2019 and brought my Fish config over (sans any Amazon-specific things of course) and all my customizations have ported over nicely. They play well with all the Apple-y unique configs this company now gives its engineers.

Fish has been snappy & delightful.

I guess one could argue zsh could work just as well and has the benefit of being compatible with native bash syntax. But I found zsh and its ilk (oh my zsh) too slow tbh. They're nothing --and I mean zilch, nada-- compared to the speed of Fish. Fish w/ Bass (love the puns in the fish community, btw) accomplishes much of the backward compatibility needs with bash or bash-like syntax; while still performing at the snappy speeds of Fish.

Love Fish! Love Julia's notes! Ahh life is just perfect sometimes!

While we're fanboying over Julia, here's a picture of the time I made myself a t-shirt from Julia's zines of Recurse Center's values: https://x.com/b0rk/status/876571293491109889
Most performant DOM-based table
No one’s arguing that correct use of a tool isn’t beneficial. The point is that insisting LLMs just need good prompting is delusional and a denial of reality. I have just demonstrated how your own prompt is still capable of producing the wrong result. So either you don’t know how to prompt correctly (because if you did, by your own logic it would have produced the right response every time, which it didn’t) or the notion that all you need is good prompting is wrong. Which anyone who understands the first thing about these systems knows to be the case.
If you're using aftermarket pods then you should use an aftermarket machine too, nespresso puts the gasket required to build pressure on the pod itself, and this gasket is patented preventing aftermarket pods from having the same gasket design. Since the gasket is on the pod it is not on the machine meaning that stock nespresso machines will have issues with aftermarket pods. Some aftermarket machines have their own seal, which compensates for this problem when using aftermarket pods.

For more info see: https://www.youtube.com/watch?v=HouzvJGazs4
It took almost a second for me; I used devtools and it was about 200ms total for connection/TLS/download of the HTML (which is in fact under 14k (a bit over 35k uncompressed)). But then none of the assets (including the stylesheet) were queued for download until after 900ms. Does it really take 700ms to decompress and parse ~35k of HTML?
https://archive.is/CZ7AE
> Now that seems less likely. At least OpenAI can see what it's thinking.

When it's fully commercialized no one will be able to read through all chains of thoughts and with possibility of fine-tuning AI can learn to evade whatever tools openai will invent to flag concerning chains of thoughts if they interfere with providing the answer in some finetuning environment.

Also at some point for the sake of efficiency and response quality they might migrate from chain of thought consisting of tokens into chain of thought consisting of full output network states and part of the network would have dedicated inputs for reading them.
The Pinecil nor TS100 definitely do not take 3.5mm jack tips but I see that the TS80 does. Thanks, never seen that before. I still don't trust putting 100W through it though!
It predates Linux by a lot. It's software flow control for ancient terminals and modems that couldn't keep up, so they'd use in-band ^S and ^Q characters to manage the input and output.

rms also hated it, to the extent that he intentionally used Ctrl-S for the most basic search function of Emacs so that people would have to turn off the ^S/^Q crap throughout the path from the program to their terminal, or they wouldn't be able to use emacs. (Or at least so I've heard; I tried searching for confirmation but failed to find it.)
What about stuff like Berberine? Is that all smoke and mirror? It's always hard to tell if the research around "traditional" compounds is actually legit or just other countries engaging in what is effectively marketing.
Some fine folks over on the Unix & Linux StackExchange seem to have offered an explanation to this question[1].

[1] https://unix.stackexchange.com/questions/137842/what-is-the-...
How do you know the TLD was a pun and not an otherwise appropriate use of the .tm TLD? By your logic why would anyone use a ccTLD?
For me the page rendered before many of those things were downloaded.
This simply disappeared from the front page - why?
SMF is OSS. The CDDL is an OSI approved licence. I'm not aware of any reason one couldn't readily ship user mode CDDL software in a Linux distribution; you don't even have the usual (often specious) arguments about linking and derivative works and so on in that case.
It's adoption failed because you needed understanding of underlying protocols in order to get it to work

A literal monkey could post on Reddit.

That's the difference and that's why usenet never got widespread adoption
> As far as I know all patents have expired now

Even the integrated gasket patent?

There's still the proprietary secret of how they grind the coffee. Which nobody has successfully replicated meaning that all else being equal you still don't get exactly the same result.

That being said, from my experience with genuine nespresso pods in genuine nespresso machines, they taste nothing like espresso and nothing like a good coffee.
>Perhaps we will use a LLM to interpret the secret thoughts of another LLM?

this is a pretty active area of research with sparse autoencoders
I was responding to someone who was talking about one-by-one checks in REST. It is in fact true that using one-by-one checks in GraphQL is pretty similar to using them in REST.

You can do the equivalent of applying middleware at a routing level in GraphQL by wrapping multiple resolvers, although the semantics will be different because you're not working with a tree of routes and so you'll need to group your resolvers together in some other way. In the Node.js libraries a resolver is just a function, so you can very easily wrap a bunch of them in another function:

// auth.js
export const checkParent = (permission, fn) => (parent, args, ctx) => {
ctx.can(permission, parent); // CASL
return fn(parent, args, ctx);
};

// resolvers.js
import * as auth from './auth';
export const resolvers = {
// could also iterate over all the resolvers within User using Object.entries and apply auth.checkParent if you wanted
User: {
photoURLs: auth.checkParent('read', (parent, _, ctx) => {
return parent.getSignedPhotoURLs();
}),
},
Query: {
user: async (_, { id }, ctx) => {
const user = await ctx.db.users.getById(id);
ctx.can('read', user);
return user;
},
},
};

I'm not sure what you mean by "deny requests automatically" because there's obviously no manual step here, and equally obviously I'm not sure what you mean by "scenarios [I] never considered". Are you talking about rate limiting or heuristic detection? You can do those in GraphQL too.

Yes, this stuff is slightly different, but it's genuinely not that hard to secure a GraphQL API.
Have you tried `ss -ar`? You may have to install `ss`. It is standard on Linux.
Why did it add the accents on to e (é)? Surely that wasn't part of it and it actually "thought a bit too far"?
Unfortunate because it's relatively easy now to mock-up the pretty part well enough to be mistaken for the real thing. Which people who don't have experience in this field then do, and get often get confused or upset even.

Example of this from another industry: working in manufacturing, a client wouldn't listen to our explanations about why their part wasn't ready to be molded in plastic. (lot's of design issues that would make it impossible to get out of the mold or lead to extreme cosmetic imperfections). To prove their point that their part designs were ready, they held up a 3d print of their part and said, "See? It's right here! You just have to do this!" This led to a half hour of answering questions before they started to understand that the two fabrication processes were very different and had different requirements.

I think the unfortunate part is really the time you have to sink into helping someone understand that's often unpaid, in my experience.
This sounds like something rms would do, but also seems like a great way to turn people off to your text editor. If you haven't learned Emacs before, are you really going to put up with broken-by-design behavior?
Is it possible someone within OpenAI leaked the CoT technique used in O1, and Reflection 70b was an attempt to replicate it?
Totally read that as "Reasons I still love the fish smell"
>Easily replaceable commodity batteries with spring terminals are massively superior to packs.

Spring terminals would be sub optimal drawing 10A off them as they are made of steel - high resistance. Developing any oxidation would make matters worse. Personally I'd not want 18650/21700 not properly secured (aside the rare case of running a fan with a single cell).
The Transient Information Effect and Cognitive Load [pdf]
> Ukraine has been attacking Moscow with drones.

That's not new, see this from a year ago:

https://www.bbc.com/news/world-europe-65475333
You could say the same thing about use of any product which isn't fully open sourced "how do I know this service really saved my files redundantly if I can't see the disks it's stored on?". It's definitely an opinion on approach though I'm not sure how practically applicable it is.

The real irony is how closed "Open"AI is... but that's not news.
To me it looks like they think this is the future of how all models should be, so they're restarting the numbering. This is what I suspect. The o is for omni.