skysight-inc/HackerNews huggingface dataset:
I agree that this is a theoretical weakness. In the US currently, though, it seems that this rarely ever comes into play. i.e. in SF the city gives anyone money to survive for food/etc. w/out working. I think truly not having options is very rare in the 1st world in general. If you think this is an active issue here, I'm open to looking further into it.

So I agree that while exploitation by monopolies is possible (in the extreme, just via slavery or indentured servitude/debt peonage), I think we have mostly taken care of it via social support mechanisms. If that's true, then further intervention in markets doesn't seem necessary. Of course, I still would support health inspections, etc to root out local corruption since it's too hard for the public to monitor that themselves. In a sense, the fact that voters approve the FDA and other inspection-style measures is just them commissioning someone to do that for them, and that's okay.

But when it comes to California coming in and saying that Uber drivers shouldn't be allowed to voluntarily work as contractors, it seems really strange. Drivers like it and the company likes it, so what's the problem? Yet the state still wants to intervene in the relationship.
I've been experiencing the PayPal one for a while. Firefox on Windows, Linux or Android. Thankfully the app is still signed in, but I've used credit card for things that I have PayPal money just sitting there ready to spend as I can't get into PayPal on Firefox.
The probability that a Stochastic Parrot returns coherent reasoning seems vanishingly small.
How does it compare to Plotly Dash?
In the US: ISP & Healthcare
haha, I just asked a quantized version of llama 2 13b model using llama.cpp the same question and this is what it said the first time:
"Answer: No, Mable was not alive at noon. Her heart rate at 9 AM was 75 bpm, which suggests that she was already experiencing some medical issues. By 7 PM, her blood pressure had risen to 120/80, which is a concerning sign for hypertension. Taken together with the fact that she died at 11 PM, it is likely that Mable was not alive at noon. [end of text]"

and a second time it said:
"Solution: Mable's heart rate at 9 AM was 75 bpm, which means that it was not abnormal at that time. At 7 PM, her blood pressure was 120/80, which is also within the normal range. Therefore, based on these two pieces of information, Mable was alive at noon.

Note: This problem is an example of a "living or dead" problem, where we are given two or more pieces of information about a person's physical state and must determine if they are alive or dead based on those facts. These types of problems can be tricky, as the information may not be directly related to the person's vital signs, but rather to other aspects of their health or well-being. [end of text]"

If I got the second answer the first time I'd definitely be impressed. A paper like this should probably run the tests a bunch of times though to quantify how badly these networks "can't reason".
> I’m not sure you even realize it’s an opinion.

All descriptions of cultural norms are opinion by definition. Cultural ‘norms’ are, themselves, vastly more complex and interesting than any single statement can declare. Editorial word choice is necessary to express and discuss those perceived norms, and care must be taken to not overstate a viewpoint. I appreciate your concern, however. Thank you for taking the time to express it.
Even that wouldn't help here. The headlight illuminate straight, not wide (as to not blind oncoming traffic).

This person on the bike stepped in from the side.

That said, DOT headlights are significantly worse than ECE headlights when it comes to illuminating the road in a way that I am comfortable. Even with high-beams on the throw of the light for DOT lights is significantly less than for ECE.

And I've driven the same car with the same lights on both continents (BMW 3-series w/ LED).
... which is there for a reason.
Search engine crawlers are a subset of crawlers. Sometimes you’re dealing with aggressive screen-scraping from competitors or various marketing tools.

I’ve had to deal with these things easily bringing sites down.
Never watched CSI either I guess?
A gloriously chicletty physical keyboard, up there with the "dead men's fingers" feel of the ZX Spectrum. Just typing on it made you feel like you were in some brutally-constructed space pirate's navigation pod.

https://commons.m.wikimedia.org/wiki/File:Commodore_PET_keyb...
"Early adopters" is not some sort of a cohesive group that you can find in one place. I can't imagine such a platform being particularly useful either. Grab three random YC companies, say in education, AI MLOps, and agriculture, and you'll see that there's not really any common ground that would compel potential early users to gather (outside of Hacker News maybe ;))

Reality is that you have to find early adopters where they already are. You have to go to them, not vice versa. Talk to them and solve their problems, rinse and repeat. Many of them will not even realize that they have a problem or that it is solvable, so no chance they would have signed up for this hypothetical platform in the first place.
I’ve watched y’all’s Papers We Love talk about Zanzibar and have recommended authzed to organizations bootstrapping permission modeling.

It’s been awhile, is the gist that Spanner’s coordinated clocks allow tighter consensus (i.e. faster writes) and caching provides read-my-write consistency?
It is still exported, right? Calling it a donation does not suddenly make the arms free/gratis. The money still comes from somewhere and is ... exported.
The very point of the bootloader being not locked down means its irrelevant who did what to it in the past, you can wipe and install a clean install of Android (or any other OS) on it. It won't prevent manufacturer from having hidden code and overrides elsewhere of course, but then its the manufacturer at this stage whos hostile, not resellers.

People are able to use asymmetric key encryption on non-locked down devices alright, so thats total bs. The exact mechanism and os design does not matter the end question is do you control your phone? Can you wipe it and install software of your choice? And since Android is based on a linux kernel, root access is one aspect of having the "master key" to your phone. Its not enough, the full step is not only a root shell but having enough information available to reinstall anything you want on it.
In fairness, further on in the paper, the author does note that the quoted extract is irrelevant, by saying "we need not aim for an oracle anyway. Humans are not oracles either…"
See also: Transmetropolitan
Quite an odd mistake, did AI ghostwrite this and just hallucinate that?
But that's arithmetic, not logical reasoning.

That's not an LLM's purpose. Also I'm a human and would struggle quite a bit to multiply 1405 and 1421 in my head, and nobody expects me to. I think when we test an AI we should use tests in which humans weren't already beaten by machines half a century ago.
Why do you make the assumption that people running, or interested in running Pegasus, would not read things on their phone?
Using mad physics and computer skillz to change the course of empire? Cool! For a $78k salary in HCOL area? Not Cool!

This was years ago and not TX. I'm sure it has gotten slightly better but what I see on glassdoor still makes me very glad I listened to the job hunting postdocs in nanofab class and steered clear of this career path.
There's been a growing amount of research on the topic of data-centric ai, now with software being dedicated to it. This one is super fresh in Neurocomputing, which is a Q1 publication.

In short, ydata-profiling is a Python tool that generates a detailed report about the data, including missing values, distribution of data, correlations, and data quality alerts, etc.

I work specifically in data quality (imbalanced and missing data) so I've been following the project for a while, but I'm curious whether you make a case of really exploring your data characteristics beforehand and how serious do you consider these alerts.

Do you think this shift towards a "data-centric" approach in AI is really set to be the "next big paradigm" in AI? It's cool to see it valued, but idk...
> Apple surely can see the complete catalog of The Who that I have in my library, including the vinyl albums that I’ve ripped.

So I like this station, but it will sometimes suggest songs that are already in a playlist but from a different album. That is, it appears to think that "(Don’t Go Back to)" from Reckoning and The Best of R.E.M. are different.

I just want the best version of a song. If the band-approved "best of" remaster is better than the one on the original album, I want the remaster. If the choice is between an Apple Lossless CD rip and a new spatial audio mix, ask me.
Then you might as well give up on all security then if you are going to assume any security will be bypassed. Breaking attestation is not easy to do and increases the cost of a successful attack.
They don't have to be outsourced to this to happen. To put out lengthy press-releases, you hire a copywriter. You don't ask an engineer to write them.

People make mistakes sometimes. And this one is not a huge one -- the meaning is conveyed fine.
I can't think of any 10mm bolts on my bike. Most of the time, it's 4, 5 or 6mm hex bolts.
https://ico.org.uk/for-organisations/uk-gdpr-guidance-and-re...

That's interesting.
If you run into performance issues with React it's a code issue.
H3 compute-optimized VMs for high performance computing
It's not a fallacy. Previous words are very important part of its scratch space. Few-shot learning is based on previous words. Prompt modifiers like "let's think step by step" encourage encoding of reasoning verbosely in words, which then allow simpler induction rules to be pattern matched onto the previous words. Previous words is what gives an otherwise feed-forward network a way to recur.
I was going to assume that the corp VPN is the reason as maybe someone is abusing that connection for something else and it’s getting flagged, but the fact that the site worked using chrome says otherwise.

Will using chromium for such cases work while having Firefox for the rest of sites?

And what’s cloudflare alternative that provides similar services for free including traffic analysis?
And will be, should the US for whatever reason decide to limit access to GPS or reduce resolution in certain parts of the world. Transport in the EU would break down.
This is a one-off tax if I read that correctly...
The thing is Skype had video calling but it didn’t have the “Hollywood squares” experience.

Watching these things come and go over a long period of time the baseline scenario is a low-grade of “enshittification” in that there is a lot of expensive and boring detail work to keep the experience low friction and no vendor seems to want to do this work once it has gotten established — So inevitably it becomes a matter of “it just doesn’t work” and somebody will tell you “You gotta meet me on XYZ” and when you’re skeptical they’ll say “XYZ works as good as Zoom did back in the day” and the simple feature that the product is in the honeymoon stage and attending to all the little details and not in the harvesting stage where every developer they can let go of is profit is more important than the headliner features in which the product is really innovative.

A counter to that is that one of these companies really can decide that it wants to be permanent, to some extent Facebook has done that, they saw what happened to MySpace and Yahoo and know it will happen to them too if they don’t keep up, which has often meant buying “the next thing” and also heavy investments in what could be the next platform. To play that game takes real courage because there will come a time you need to kill your cash cow so you’ll have another cash cow, something Zuckerberg can do because he controls so much of the company.
We made the decision to choose Cockroach in 2018 and back then no product had these capabilities. We stuck to CRDB because they delivered on their product vision and as far as our research went they have the most advanced solution.

Even Google Cloud Spanner (NOT the same as Google Spanner - the internal DB) lacks a couple of things we needed for data homing.
> The fact that poor people can currently access things for free is a result of imprecise targeting. If there was a way for advertisers to reliably tell apart poor people from the rich ones they'll happily block the poor ones.

You are absolutely wrong about that and you do not understand the business model. I am not saying it has anything to do with the goodness of their heart but this is absolutely not something that would be in their interest. They benefit from the networks effects just like the users do.

> Advertisers aren't charities and the purpose of advertising is ultimately to drive profit. Subsidizing poor people is not in their interest.

It is possible for self-interested action to have knockoff positive effects. In fact, it is actually quite common: most exchanges are mutually beneficial.

> I'm not talking about basic self-hosted (very important difference!) web analytics or server logs here, I'm talking about large-scale stalking such as what Google/Facebook or any major ad provider does. The information they collect go way beyond what the user does on their platforms.

If you read my original comment, you would see that I am in favor of banning cross-site stalking but that is both not what Meta is being fined for here and not the only thing the GDPR/DMA prohibits.

Targeting based on only your own platform is a good middle ground.
>The "emergent" features of LLMs, or LLMs even being a step in the direction of AGI is entirely unproven so far. They are however powerful enough that they spark the imagination and hypothesis of tons of amateur futurists (and many financial backers of such proyects)

That's exactly what I was saying, that it's a mistake to ever think of LLMs as AI. They are the prefrontal cortex. The I/O mechanism. But we still need the spark of agency. The soul if you will. Point being that we can actually work on that for real now, since the language part has been handled.
It doesn't surprise me that he walks back this opening statement, but it reveals how his exploration is biased.
These numbers have strong historical reasons. The US had unit banking leading to a gigantic explosion in banks and this number has been going down as bank merge since the end of unit banking in the 30s.

Canada on the other hand had branch banking, meaning a few insitution each covering the whole country. So Canada had very far fewer banks historically.

During the Great Depression many 1000$ of banks failed in the US and none in Canada.
I think that's correct. I have a theory about bullshit jobs in highly regulated or profitable industries. Places like Google have a ton of employees that don't contribute anything but make work projects. Why don't they just cut the workforce in half? Because their profit margin would be too high. It's already 25% with all the bloat. Imagine if their profit margin shot up to 50%? They would likely be dragged in front of Congress to explain themselves. It's even more true for banks (who i would argue have even more bullshit jobs where people literally do nothing)

You could think this is good as it supports people but I think it's kind of sad thousands of people get up and go to work every day with no impact on anything,just waste away at a desk. This doesn't even mention the economic waste
Profits are net of expenses. This is, if anything, an incentive to pay higher bonuses to bankers. So it's more like the bankers will make 500% bonuses instead of 200% and local pension funds will take the penalty.
> There's a lot of information online (some accurate, many not)

Books by (relatively) renowned/trustworthy experts are also a thing and they all cost less than your monthly subscription.
Quick work, if they did so since the preprint was posted six days ago, of which two were a weekend! My version of ChatGPT claims to be the 3rd August version, which gave them one day to respond unless they were somehow targeting some sneak peek pre-preprint.
Long quote, but I think this is useful context for the argument:

"LLM believers will probably demur: But humans also make mistakes, and surely we’re not prepared to say that humans can’t reason just because they make mistakes? First, it is not accurate to say without qualification that “humans can reason,” certainly not in the sense that we can randomly pluck any person from the street and expect them to reliably perform normatively correct reasoning. Most neurobiologically normal humans have the capacity to become proficient in reasoning, but actually attaining such proficiency takes significant training and discipline.
...
But if a human made these mistakes, the ones reported in this article, then I would conclude without any hesitation that they cannot reason. Even if they went on to list a large number of other examples demonstrating impeccable reasoning, I would suspect that other factors (such as rote memorization or cheating) were behind the performance discrepancy. For the mistakes reported here are not performance mistakes, the sort of innocuous errors that humans might make—and
promptly correct—when they are careless or tired. If a human made these mistakes, and made them consistently under repeated questioning, that would indicate without doubt that they don’t have the necessary logical competence, that they lack fundamental concepts that are part and parcel of the fabric of reasoning, such as logical entailment and set membership."

So really what this is saying is "GPT-4 makes certain categories of mistakes wrt reasoning that indicate it is in general not doing 'true reasoning' even if it does say the right things to indicate reasoning in other cases". And yeah, if that's the basis of your argument, sure. But how would it be doing rote memorization or "cheating" in the cases it does get things right? A weird notion...

Anyway it feels rather pointless to make this a binary quality. As this article points out, humans (on average) make various reasoning mistakes due to cognitive biases as well. GPT-4 *can* output valid explanations for its reasoning for various questions, but fails to do so correctly in many cases (as shown in this piece), and to me it is more interesting to discuss the implications of this rather than to just establish that fact (which is not news to anyone afaik). This does have a 'Conclusions' section that delves into this a little, but it rather over-general and weak.

Still, this is pretty well written and it is good to have a compilation of examples to demonstrate GPT-4 is still not a "human-like reasoner" for anyone not aware of these models still having such flaws, I suppose.
Probably because they like a piece of software, but would rather use an open source solution.

> Copying the creative work of others is not admirable or something to be encouraged I think.

Of course it is. I literally play in a cover band where people come to listen to us "copy the creative work of others".
One would argue that there is no such thing as being stuck in traffic. You are the traffic and thus part of the problem. So it is not that badly phrased. ;-)
I’d have to check and see how it works. I’m happy to block ads (I’ll render whatever I’m sent however I want), but I wouldn’t want to access content that the publisher didn’t intend to send.
Neurons Make Connections
>...fruit flies are an excellent model organism and source of information into how neurons self-organize during the insect’s early development and form a complex, fully functioning nervous system.
You're right but the person is talking in the context of competition and how competition doesn't reduce profit margins "for industries with big capital requirements."
I agree with you in disagreeing with EFF's stance on that issue. However, I think the good work they do in other areas makes them still a worthy place to put money, so I continue to donate to them. I definitely understand if others feel more strongly about that issue, though.
Well, that depends on your null hypothesis. Most of the decision makers in corporate America know what in-office environment is, they have risen through it. So they don't need any more data about it.

Remote work is a new paradigm which needs heavy investment in rewiring the culture of work. Obviously, the burden of proof is on remote work to prove it's utility.
But the TOS says:

> You agree to grant and hereby grant Zoom a perpetual, worldwide, non-exclusive, … [rest already quoted several times in the thread]

so that promise to not do it without consent is meaningless as they have consent from anyone who has agreed to the ToS which anyone using the service/product has done.
Is there something more going on here like you're using some kind of blocker and it's stopping the captcha/security 'widget' from loading?
That was just a lot of talk. The federal government has been shaping the US economy and its industries since the start. Things like agriculture and energy has always been subsidized. E.g. the offshoring of manufacturing and the newer cultivation of green energy tech are entirely the result of tax and subsidy policies designed to result in these things.
> At my company we tried LastPass

Dodged a bullet there
I've seen both your FoundationDB talks, curious if you are using FoundationDB under the hood or how much of the metadata store is homegrown?

Also, how did you implement the parsing of the Kafka protocol? From scratch or pieced together with open source Go bits? Having a nice programmable API for building Kafka-compatible servers could be a huge boon to the Kafka community (wink wink).
Some. Why?