skysight-inc/HackerNews huggingface dataset:
To be pedantic, "coding" as a profession hardly exists in the US today. No one goes to work, types code for 8 hours, and walks out without doing anything else. In a typical SWE's day/week, they must competently perform all of the following activities:

- Determine business needs, translate those into requirements and design specs

- Plan upcoming work

- Develop testing strategies

- Integrate custom hardware/software with other custom hardware/software

- Create and maintain documentation

- Handle emergency situations

- Communicate intelligently with peers/managers about the
state of their work

- Mentor new employees

Will some of these tasks be partially or fully automated? I hope so (looking at you documentation). But it's gonna take a while to automate every portion of every SWE job. And someone's gonna have to figure out how to automate those jobs anyway, and who better than another SWE?

One thing I am concerned about, is that current AI/LLMs are as good as a lot of junior developers. My pair programming sessions with ChatGPT at my side are as productive as any session I've had with a junior dev (sometimes more productive, sorry to say). It's possible that, contrary to popular belief, the demand for mid-level+ SWEs will go UP as a result of AI - because fewer junior devs can make it past the great AI filter.
This is a particularly badly-timed comment. Not even a month ago there was a 10/10 severity vulnerability in webp, including Chrome, that could let your phone get pwned by serving it a video, and people have confirmed it is being actively seen in the wild. Security updates absolutely do matter.
As opposed to things that don't work at all, like not building housing?
This seems like circular reasoning to me.

"Human's don't just parrot what other people say, therefore we must be doing something more than what LLMs do, because an LLM only parrots the words that it is trained on. But an LLM is not truly intelligent because it is not doing what humans are doing—and because the LLM is not intelligent, all it is doing is parroting the training data."

Where in this line of reasoning is it proved that the mechanisms are different?

What if, instead, the conscious intelligence that differentiates humans from other animals is an emergent quality of language learning, specifically? Isn't there evidence that children that don't have access to language—deaf children who are not taught sign language, or feral children, or seriously neglected children—often cannot reason before they are taught language, and suffer from long-term cognitive impairment for having lacked language during their early development? Wouldn't this point to a fundamental linkage between language and human intelligence?
I don't know exactly how humans think or how LLM's "predict the next token", but your argument is just refuting a high level description of behavior in place of a low level description.

To me at least, it's a bit like saying a car's wheel do not spin when stepping on the pedal, it's the petrol engine that makes the wheel spin. You can replace petrol engine with an electric engine, and the description about the wheel spinning when stepping on the pedal is still technically correct regardless of any lower level explanation.

We don't know how to describe the behavior of LLM's because of how foreign they are to us right now. Hallucinations are confabulations are meant to describe human behavior of couse, so the downside is it might make us anthropomorphize LLM's. However it's the best we could come up with I guess.

If confabulation is a more precise explanation of behavior then I don't see why that's a bad idea.
Its source is from LRCLIB (lrclib.net). LRCLIB collects lyrics from various sources, including MXM, but also allows users to submit their own synced lyrics.

You can understand it as a "Library Genesis" for lyrics. LRCLIB will also become open-source (soon™).
An updated Node-WebRTC that works with Node Stable
You already charge your phone every night, whats one more thing?

I can't sleep with a watch on at night, so I take it off and put it on its stand, which is the charger- my phone goes on it's charging stand at the same time.
I had that problem with Pixel. I switched to Samsung phones and the screen fingerprint sensor works perfectly. This might be a Pixel-only problem.
Hybrid work doesn't provide any advantage compared to WFH except for avoiding commute 2-3 times a week.

1. You still have to live within a commutable distance of your office, which, if you have to pay rent, is expensive.

2. You still have to arrange for someone to accomplish the chores you're able to do at home when you WFH - like cooking, dropping and picking up your kids, etc.
I see something that looks like a MagSafe puck with a black plastic piece snapped on for some reason.

Are we sure it’s a real MagSafe puck? The article didn’t check that.

Sadly copies of Apple stuff are so rampant, especially on Amazon, if you didn’t buy it yourself from a reputable retailer. It’s quite possible it’s a fake. The little white charger bricks were copied rampantly. With Apple’s prices the fakers stand to make a lot.

Given Apple’s normal engineering quality that would be my first guess. Or Bloggie’s guess it’s the PSU that’s the issue.

It’s interesting they found the problem, and that a simple ferrite bead fixed it.

But I have no doubt there are fakes out there for something g like the MagSafe puck. Without ruling that out simply declaring it a “piece of crap” seems unwarranted.
Maybe loss of money is very closely linearly related to humiliation for SBF, but it is not for most people. That's the least confusing part of the story to me.
> but whether they are or aren't has nothing to do with whether some unrelated, half-remembered third parties were right or wrong

Their argument was "Alternatively, we overestimate human abilities". Since he made that argument it is relevant to see if humans overestimated or underestimated human abilities in the past. My argument is that there is a large tendency for smart people and researchers to underestimate human intelligence, to assume it is easy to solve, we have seen that happen many times in the past.

So since smart humans often underestimate human abilities, the "we overestimate human abilities" theory is probably not correct.
I've had Intel sales people tell me that the entire low end of some their marketed FPGA/ASIC products have never and likely will never be sold
Well, what do you think happens when you dereference a null pointer? Undefined behavior. It does work correctly when you have the extension installed.
Yes. Though in terms of physical waste that the original commenter brought up, selling your old phone for someone else to use makes that upgrade a pretty good option.

We could look at the total amount of years any phone is used and abstract away from who uses it. Slightly stylised, if we have four people, Alice, Bob, Charles and Dave, and Alice gets a new phone every year, Bob buys Alice's old phone, Charles buys Bob's old phone, and Dave gets Charles' old phone, then everyone changes phones every year, but each phone is still used for a full four years.
Whether the model for human intelligence is popular or not isn't really relevant. We just care about accuracy. Predicting what comes next (including what will happen if I take some action) is very close to all we do. Models trained on text happen to do surprisingly well because humans often represent predictions of what will come next in words, but it remains to be seen if enough of what it takes to think at a human level is available as text in order to train a human level intelligence purely from text.
Gonna hit back with "nope".

If Kleenex gets into toilet paper and tell you that toilet paper is now kleenex, the response is "you clearly don't what what the hell you're talking about, get your head out your ass".

Magsafe is a magnetic power connector that clicks into a socket, whether Apple sticks their head up their ass or not.
Calling a spade a spade does not mean I don't empathize with them. It can also mean Ive walked along their path.

Trust me, I am acutely aware of what they are, how and why they have fallen and the despair they feel. Its a despair of worthlessness which is tragic because we are all images of the Devine and therefore infinitely precious.

Even today, I walk along their footsteps but for the grace of God.

But we get nowhere pussyfooting with vocabulary.
> they are not like humans at all, and only resemble them superficially

We have no idea how LLMs work on a high level, and we have no idea how the human mind works on a high level. Therefore, such claims are rather overconfident. The fact that the two are dissimilar at the plumbing layer doesn't mean they cannot be alike in how they "really" operate. Either way, we simply do not know, so any such talk is (bad) philosophy, not science.
It's not a secret, investors told tech companies to reduce headcount and pay. https://www.businessinsider.com/alphabet-investor-calls-on-c...
I don't know who this guy is but this is certainly something I have observed for a few years now, and also experience in my daily life. I don't even bother small talking with people anymore, and I don't think people care to talk to me anyway.

There are too many global emergencies, political grievances, historical injustices, social oppressions, and they all need to be solved ASAP. People seem to be on edge and there's very little trust in strangers. Anyone who doesn't see this is probably in a bubble.
Fuchsia solves that.
It is? And not any esoteric analog design? That explains the secrecy.
A lot of things are like that (e.g. nuclear energy).
> I have an impression that if you accuse any of the chat models of being wrong they well tend to confess and apologize.

Not always. Default Mistral-instruct, for instance, actually seems quite confident.

Of course this is just the arbitrary "personality" of the instruct finetune, which you can throw out the window with an initial prompt.
>-I'm not trying to be mean and I'm certainly not blaming you in particular, because I've seen this very often- but the reasoning that because LLMs can generate language, and humans can generate language not only LLMs are somehow like humans but also humans are like LLMs is not sound.

Nah. Nobody personifies LLMs like this. What you're laying out here is a fundamental mistake that you'd have to be extremely stupid to make. I think barely anyone is making this mistake to even qualify mentioning it.

Seriously who here things that LLMs are anything like humans? That is not the claim. The claim is that LLMs understand you. Intelligence and understanding are clearly orthogonal to "human-like"
This is a 17 year old aircraft, so I think it's only worth one fifth of that at best. They may be better off just buying a used one, rather than risk putting this into service.
I use GrapheneOS, and I've donated to its development. To say that "None of the claims are true" and that they are "baseless" is incorrect.

Louis Rossman was a supporter of the project until he and Daniel had a failing out in which Daniel behaved inappropriately [1], all over a Youtube comment. There's proof for that and other claims [2, 4, 5].

Daniel can be a talented developer, privacy advocate and asshole at the same time.

It's sad to see him (and others, like yourself) say stuff like "examine the baseless claims", without providing any sources.

After all the drama with Calyxos, Techlore, Louis Rossmann etc, at some point one has to notice a pattern of behavior.

1: https://www.youtube.com/watch?v=4To-F6W1NT0

2: https://www.youtube.com/watch?v=Dx7CZ-2Bajg

3: https://github.com/AOSPAlliance/README/commit/cbd2a95cba7c2a...

4: https://web.archive.org/web/20210403012439/https://freenode....

5: https://web.archive.org/web/20210818110434/https://sethforpr...
> When we generate word sequence we usually generate those to communicate information about the world, not to try to parrot what others have said.

What is the evidence supporting that claim?

I grant you that it feels that way to humans when they speak, but that doesn't prove anything.
That doesn't sound right. It seems culture determines how people choose their leaders. When the culture changes, different people rise to power, not the other way around. At least for democratically elected leaders.
Thanks Vibhu! We will keep cranking on our end.
Where are you getting this info? In my anecdata, I've seen barely any junior or mid SWE roles but pretty much all senior+ roles being posted.
Added. Thanks!

(...ach those pdfs...)
A good language model IS a world model. They can be one in the same. Very likely what's going on with something like chatGPT. The world model is simply encoded as text.
Thank you for understanding. I'll try going for some of the older companies tomorrow.
> Every group who ever managed to build a building with a rectangular foundation figured out the relation between the side lengths and the diagonal.

I don't see why that was necessary. You can get pretty far with eyeballing it and custom cutting to fit.
Which football are we talking about again? That's a problem too.
Confabulation in humans seems much like word/sequence completion, autocompleting from gist information without reality monitoring, executive control, etc. Likewise, introducing output monitoring that can identify signals of recall failure, and executive control (stop signals), probably could help LLMs too.

One of my research chapters covered some of these ideas, but the wikipedia does pretty well too.
https://en.m.wikipedia.org/wiki/Confabulation
The plane did not crash. It just landed in the wrong place and is stranded.
Compared to malware, fraud has a lot more of a paper trail, and the AI tools of tomorrow can detect the fraud of today, limiting the damage the fraud can cause. Meanwhile malware can cause a cascading wave of damage very quickly.
That's a name I haven't heard in awhile. I thought the concept of it was amazing and tags were the solution to everything. Remember machine tags? Oh how things have evolved.

Not to mention the naming trend companies took on for a decade afterwards.
I must have terrible luck. I try this and it tells me one of the dependencies is "marked as broken" (and forcing it to install anyway doesn't work) so I instead end up digging through GitHub trying to track down the cause.
This was at a winter camp. My scoutmaster was not there. It was me and two other kids from my troop along with plenty of others from other troops. I (a) signed up for the classes, (b) paid for the classes, (c) completed all the work for the classes. According to them, instead of trying to figure out why I was attending and turning in the assigned work, they just tossed it. I don't respect truly lazy people, and that was truly lazy. So anyway, I made my case, they rejected it, and I decided I had enough. I didn't need their useless external validation, especially since I had already attended every bit of advanced and leadership training within my grasp due to my work and character. Eagle Scout was icing on the cake, it wasn't the cake.
Fun fact, it is believed that Andrej Karpathy (OpenAI, ex AI Dir. at Tesla) had coined the word 'hallucination' in an RNN blogpost back in 2015.
https://x.com/karpathy/status/1702916988891193460?s=20
I think the most technically advanced and affluent societies were capable of utilizing the very powerful mid-century insecticides, not only DDT, to almost completely wipe out bedbugs from domestic environments for quite some time afterward.

Decades later with no comparable eradication strategy, and once world travel increased exponentially, they have been reintroduced from parts of the world where they have always thrived.
There are risks to leaving an Android OS out of date, too. That can be mitigated somewhat by keeping Bluetooth and Wi-Fi off when away from home, but it's not foolproof.
The United States is currently committing two major policy mistakes:

1. Not allowing more immigrants
2. Not relaxing zoning to allow more housing in high opportunity areas.

Together these two policy mistakes stifle technological progress and economic growth, and consequently our capability to address societal problems like climate change, poverty and disease. The United States occupies a singular position in the world to both attract and integrate immigrants into its cultural and governmental institutions and effect positive change. No other nation comes close.

Related, a declining population poses major demographic and policy challenges that only immigration will be able to address in the short term. This video is a must watch for understanding why a population decline before we have technologically addressed climate change is actually worse for the environment than a population increase:

https://www.youtube.com/watch?app=desktop&v=LBudghsdByQ&si=b...
No, this is great advice, and I hadn't thought of this. I will definitely look into reaching out tomorrow.
Seems to me it's about the most mindless way to show disapproval without having anything worthwhile to offer.
I've been using confabulate privately for a while about this phenomenon, because if you know anything about dementia (my grandmother had it - sitting in the car with her you got used to the "covers" feeling like chatbot answer dodges to some extent) or split brain experiments, then it's quite a remarkable phenomenon that does feel a lot more like what an LLM is doing.

Hallucinate generally implies experiencing sensory inputs which aren't there, but having a rational reaction to them - in the popular psyche though, people who hallucinate are still "crazy" - unfairly so, because you can function normally with hallucinations under quite a number of circumstances (i.e. I remember someone saying that they realized that if they saw people without faces, it was fine because they weren't really there - apparently quite common, since face recognition is a different part of the brain).

Basically: reacting to invalid sensory inputs implies rational behavior, but to non-real inputs.

Confabulation on the other hand is different because it's closer to "trying to rationalize an autonomous behavior without knowledge of the sensory inputs causing it" (maybe, it's a bizarre phenomenon). In split-brain patients in lab settings, it manifests as being unable to answer a question about why you're having a physiological response to imagery which is being shown only to the right-side of the brain, whereas language is processed on the left - but rather then be confused, people will apparently make something up that they're unaware is actually a "lie" (in quotes because, well, they're not lying - as far as we know there's no intent or even knowledge that is a lie).

Where this leaves us with LLMs I don't really know, because it feels like an imperfect descriptor: except perhaps with the context that LLMs are fairly limited networks, and so to some extent the whole "being wrong" phenonmenon is in fact just a failure of the attention mechanism to be able to draw the right data together.
This is inflation adjust silliness. High paying jobs across the board saw less wage growth --- we've had a massive decline in income inequality these past few years.

National inflation is also just not that useful. See https://www.employamerica.org/researchreports/real-wages-and... for why (classic dividing aggregates issues). If we want to look at a "Bay Area price consumer price index", clearly housing dominates. The recently passed YIMBY laws are very promising in this regard.

If housing prices continue to level off, and even come done, Bay Area tech worker purchasing power will go up a lot further than the methods in this document would indicate.
A small set of Python functions to draw pretty maps from OpenStreetMap data
> I'm firmly in the latter camp. Because the compiler can't check program correctness only type correctness. Type correctnes is necessary for program correctness, but NOT sufficient. Static typing adherents fail to recognize this,

That's just not true. Absolutely no one claims that static typing guarantees correctness, because that's ridiculous and obviously nonsense.
In the landfill
The best form of protest is often (malicious) compliance.
I had the same thought that "hallucinate" is too strong a term for what LLMs are doing.

Instead I would say they DREAM. Dreams follow some logic but basically they are disjoint from reality. They involve same characters as our real-life experiences but what those characters do in a dream is not based on reality.

So one could think that ALL LLMs ever do is dream but much of the time their dreams are dreams which feel very real.

Our dreams are basically an LLM based on our real experiences but recombined in arbitrary ways, still retaining some logical structure but now detached from reality because when you recombine different experiences including our thoughts from real life, the result cannot really reflect reality very well. LLMs are better in this respect than our dreams, but sometimes their "dreams" get really obviously detached from reality.

Or if you want to use the term "hallucinate" with LLMs then fine but its more like they hallucinate all the time, it's just that sometimes, even often, their hallucinations seem to agree with the reality so well that we cannot tell the difference.

LLMs do not describe reality because they cannot experience reality, all they can give us is an "average description" created from many existing descriptions.

One way of looking at it is to say that all LLMs tell us is hearsay.
The German Wikipedia entry has more detail. If you can get it with subtitles, the movie “Bornholmer Strasse” describes this incident and is excellent.
The recently-formed testing subteam is looking to solve your exact complaint: https://github.com/rust-lang/rfcs/pull/3455
Before you purchase, may I suggest going to the play store and reading the platform reviews.
My billing subcontractor has mentioned this as well but in practice it hasn’t worked extremely for us. Sometimes we resubmit and it gets paid, sometimes not. That’s where I often have to get the patient to directly appeal to their insurer. But I’m not sure if the subcontractor is necessarily following necessary procedures.

That’s a whole different issue though; I’ve had to change subcontractors twice in my career because after auditing I found they were dropping the ball on stuff like this and just billing clients when there was a path to insurance reimbursement that could be pursued. To insurance companies credit this is an issue at least a part of the time; billing departments and subcontractors that flake on their own work. Far less common but a non zero part of the issue.

Thankfully as things transfer to software solutions this becomes less of an issue; I’ve moved a portion of my billing to a software based billing solution rather than a human one and while it still has issues it has less. Sucks for job creation but better for my patients I guess

Now I might do another deep billing audit
> Why would it ever be possible to derive the representation just from the pointer?

Of course it cannot derive a representation from just a pointer. Neither humans or machines can do that. The words are not pointers in isolation. They are connected in a network of semantic relations. The model is in the relationships between pointers. Artificial neural network.
> No, the actual way is to go company by company and dismantle them. And by Starting with the biggest it sends a message to others that perhaps they should change before they too get broken up.

You will never finish if you go company by company, there’s just too many. Additionally no company ever stops anything until forced to. Your suggestions will not solve anything.
In Australia it's $400 Google Store credit with the Pro, $250 with the regular. Pixel Watch 2 starts at $549.
Pipes ouputting to a RSS or ATOM feed piped into Google Reader

The technology of yesteryear, I miss it so.
You sound like someone talking about commercial trucking 5 years ago.
They don't hallucinate, they just get things wrong.