skysight-inc/HackerNews huggingface dataset:
The problem here being that if you are competent you’ll find it a strain to work in an environment that (often) does not listen to your advice, even if that means everyone is pulling in the same direction.

It’s nice for everyone else if they’re all contentedly pulling in the wrong direction, not so much for the one that sees that direction for what it is.
This was my first thought also: "Well somebody didn't do a residency..."
> It's crazy to see how much is coming out of Meta's R&D alone.

They have the money...
Exactly. GenAI is much closer to AI than whatever people were calling as AI before.
The benefit of a window seat is not that you can look out (although it is fun on occasion). The biggest benefit (for me) is you don't have a stranger next to you on that side. You have a wall you can sleep against. This is a godsend on 10hr flights.
> Once you start taking meds you develop dependence and so your definitely need them.

In this generality, this statement is plain false folk tale. It certainly applies for some conditions and treatments, but without a study to back it up you should not be making this statement in regards to ADHD and its medications.

> If you tried everything and nothing worked, then go for the meds, and take on the risks and side-effects. But no one does this. They get diagnosed and then straight on meds for the rest of their life.

This is equally untrue. I can't make statements about other places and health care systems, but where I live they throw the kitchen sink at you for about a year or two before they progressively walk you up to the more "extreme" medication if nothing else helped.
The last few years have shown that even if something is extremely uncommon you've still got to move heaven and earth to stop it happening. Costs be damned.

Metal detectors at every station entrance , mental health screening prior to boarding perhaps?
The issue is that there are too many cars (including pollution, congestion, noise), not that there is not enough transit - or at least this is a separate issue.

If you could multiply by 10 the number of people using public transport without changing the number of cars on the road, would the car make less noise, or pollute less, or take up less space? I don't see how.

So the two policies we are discussing really are:

- reduce the number of people using cars by making using cars directly more expensive

- reduce the number of people using cars by making using cars indirectly more expensive, by lowering the cost of the alternatives and funding this extra cost _somehow_ (taxing everyone whether they use cars or not?)

It seems to me that solution 2 is potentially less effective, definitely way more complex and basically make everyone pay rather than just car users.

Of course if the goal is either to be ineffective (just subsidy transit but don't make me abandon my car) or shield car users from most of the cost (create an expensive solution to reduce car usage by making everyone pay, not just car users); then sure, it's better.
> People blindly accepting the output of LLMs seems similarly crazy to me and I think it's only a matter of time before we face a real reckoning over this. The lesson here I think is just because a lot of people are advocating something that seems reckless doesn't mean it isn't reckless.

Irony in the "Greek tragedy" sense (but who is εἴρων and who is ἀλαζών?)

So many online arguments about AI safety, where someone says "it's fine: just don't let it out of the box", and here it is, accessible on the internet — and for some, even this isn't enough: they want the weights; and for some, even the weights aren't enough, they want the training data.

So many arguments where someone says "it's fine: just switch it off if it goes wrong", and not only is the switch out of reach to those affected, most people aren't even checking if it's going wrong in the first place.

The labs themselves ring the alarm bells, put disclaimers on the start page of their own products, call for binding regulations, and there's always someone dismissing this as a "5D chess" marketing move.

So many where someone says "it's just speech, what can it do?", etc. etc.

I'm glad the AI labs themselves have so many signatories to the "let's pause for a bit" open letter. Cool though the tech is, it's definitely acting outside the expectations many have for it, and a simple dichotomy of "better/worse" isn't sufficient to describe the ways in which it is outside expectations given it can be both at the same time.
I guess this is the way dictators see things.
> "But what is Apple and Google's special proprietary sauce then? Why are these apps so hard/impossible to replace by open-source alternatives?"

Google Pay and Apple Pay aren't unique. There's Garmin Pay and Samsung Pay, too, for example.

The EMV standards are maintained by EMVCo (www.emvco.com), and the specification documents seem to be out there and googleable. I'm sure anyone sufficiently qualified in NFC tech could have a go at implementing them on their own device.

The only tricky part is that you have to interface with each card issuer (bank) to generate DPANs?
Imagine if MSFT didn’t allow iPods on Windows or took 30% of every song sold in iTunes. Crazy how much we’ve been collectively gaslit. Apple helped the anti-trust case against MSFT.
Thanks!, I really like the idea of doing some kind of rate-limiting
Instantclick.js – making navigation effectively instant
> After reading all the literature I concluded there were huge problems with almost every aspect of it. Then you go try to tell people and you are tarred and feathered.

You should probably cite some of that literature.
This AI technology, a software that can effectively code another software is different from previous kinds of software, it's a new paradigm in itself. Maybe somewhat similar to what happened when Visual Basic first appeared (propelling hundreds of thousands of applications for the Windows environment in just a couple of years).

The first thing you'd want to achieve is to make work an AI agent capable of writing software, good software, then you could just ask it to make other types of agents, QA soft engineers, SRE engineers, DBA engineers, what ever you need.

Devin for starters is mentioned capable of training and tunning models. So, there you go.
We recently replaced slack on our team with Github discussions and phone calls/texts for really timely P0 type stuff.

This seems like a similar idea with a nicer UI. I don’t really see a huge upside on the “feed” aspect, but this would probably be an improvement over slack.

After getting rid of slack I feel this huge weight lifted off me, and there are far fewer distractions for stupid shitposts and little status updates that frankly just aren’t important to look at more than once a day.
Why Portland failed where Portugal succeeded in decriminalizing drugs
This is a great initiative. Still too much of modern media content is locked behind an All Rights Reserved gate, or old photos owned by media houses like Getty et al.

See:

https://www.ahistoryoftheworldaccordingtogettyimages.com/
I'm working on a library for creating fully typed declarative API clients, quickly and easily. In Python.

https://github.com/martinn/quickapiclient
I dont think aggregate job security ever really had anything to do with automation - only wealth distribution.

There is always 1000 things you can do for other people. The question is just do those other people have the money to pay for it after rent and bills.

Increasingly they do not.
Ecommerce tariffs will kick in from 2026, says WTO chief
> If a person who didn't know about something just confidently made shit up, I wouldn't call them intelligent.

Then you have a highly flawed understanding of humanity... to the point you should check out of tech for awhile and go read about psychology instead.

Extremely intelligent people confidently make shit up when they don't know the answer all the time.
My money was on recurrent networks being the next big thing, then I looked at Attention is All You Need, and I went "wow, that's a good idea". I don't remember ever looking at the benchmarks.

Quantitative improvement over state-of-the-art is nigh-irrelevant. You can drive that up arbitrarily high, for almost any given metric, just by throwing more compute at it (with a few architecture / dataset decisions to push it in a particular direction). That's not the kind of thing I consider an improvement: it doesn't make anything possible that wasn't already possible.

The measure of an AI system is fundamentally about doing stuff, but primarily about doing stuff efficiently. Computers have always been able to play chess by exhaustive brute-force search, given a galaxy-sized GPU and a few million years.
It's often misunderstood, IMO. It's not purely about hierarchies and eventually "advancing" until you aren't talented enough to do the job (because the higher jobs are harder).

Lots of the Scott Adams types misunderstand it this way, because they have a "40 rules of power" perspective. It works better as like a law of nature and physics. Perhaps even better as a mathematic or logical rule (don't know the exact name, axium? law?). Could even be considered a paradox of sorts.

Think of it like this: Assuming an organization promotes people that excel at their jobs, but not if they are incompetent. Draw a flowchart. If someone succeeds what happens? If they fail what happens? (not clear, but it isn't really mentioned if the incompetent ones are fired).

Either way it's a guarantee under this system that all will be promoted to incompetence. You could even compare it to an ideal system like circuits. Yeah the real world doesn't work exactly like this, but it kinda can.

So, it's not about the above job being more challenging per se. You might just not have the right stuff. You could even add being accepted by the team or boss, because you can't be successful otherwise (though I dislike this one).

Actually, I tend to think it's the drive to "advance" that's the problem, and unwillingness to just pay senior people more (though there's often good reasons there too).
Terrance Tao, who is a pretty good mathematician, made a post [1] not too long ago about how he found ChatGPT to be at least slightly useful for solving a non-trivial math problem. His basic insight is to not ask for an answer directly, but to ask auxiliary questions and for suggestions of how to approach the problem, which eventually lead him down the right path. Basically how you would discuss the problem with a colleague how didn't know the correct answer of the top of their head either.

[1] https://mathstodon.xyz/@tao/110601051375142142
If AI could actually do what they are doing, programmers would be laid off at a rate never seen before.

I mean never seen before in human history.
just liek stop being poor or sOmEThing....
How can we have a society without AI? How could this be implemented?
As opposed to roads, which exist in nature when there is no one paid to build them.
I can pay contactlessly with my card, but my bank doesn't support paying with my phone.
Fuzz testing feels to me like another instance of The Bitter Lesson. Use computation instead of manual effort.
Uber and Netflix both launched when apps could handle their own payments without fees though. Do you have an example from the more recent past?
I don't know that it's about being "hyper competent" so much as it's about being competent in a niche position that is incredibly hard to fill. I think after a while you could argue that that person is indeed "hyper competent", but the situation actually starts before that point.
I was confused as well. Turns out the right link is this one:
http://sininenankka.dy.fi/~sami/fdshell/index.php

Tl;Dr: "lEEt/OS is a graphical shell and partially posix-compliant multitasking operating environment that runs on top of a DOS kernel." [...] "lEEt/OS is slowly but surely migrating from FreeDOS to ST-DOS, its own DOS kernel."
I'm wondering if it be better if an iota would assign random, unique numbers at compile time, just to make it clear that these are not entirely safe identifiers inbetween compilations.
Apparently, it matters where you get sued. I would have thought that federal crimes are treated the same across the US. Any lawyers here who can explain?

> If Bankman-Fried went to trial an hour's drive away, in a New Jersey district court, the judge would have worked under the jurisdiction of the United States Third Circuit Court of Appeals and considered actual loss. But because he was tried in New York, controlled by the Second Circuit, the intended loss is what matters, Krissoff said.
Of course I was talking about host doing direct I/O :)
Glad you got it right.
What's up with the horizontal scroll?
My question is why Apple would spend sweat and blood trying to make an “extreme” large chip for a very small handful of customers. To me, the economics don’t add up. The Ultra was already going beyond what they need and that at least was sensibly reusing multiple Max dies. Someone describe the effort:reward ratio to me.
> It could use very little power and very little space and still be a very big bottleneck.

I believe in chip design, this doesn't really happen (often). You can optimize the bottlenecks by allocating it more space and power.

I interpret Keller's statement indirectly - given that modern x86 CPUs dedicate only a small part of its circuitry to decoding logic means that it's not a bottleneck (otherwise there would be more circuitry for it).
so, my body is refactoring all the time?
so, my body is refactoring all the time? Cool 8)
"Garbage in, garbage out" means that if you feed garbage to your algorithm, then you're going to get garbage in return. It's always been a one-way implication. It doesn't mean that if you feed valid data, you're not going to get garbage.
if apple ever took their m3 and dropped it into a steam/switch form factor and added the ability to run windows titles, it would absolutely eat the mobile market.
it is easy to use qualifications as a crutch for making excuses about leadership when things don't go well.

the same happens for tech founders without a management degree acting as ceo.
>You can drive that up arbitrarily high, for almost any given metric, just by throwing more compute at it

Thank you for confirming my point. Because this is what it's all about. It might not seem like much if you only think on timeframes of startups, but in the long run this will beat any architecture improvement. Yeah, maybe you can come up with a fancy revolutionary design and achieve instant 50% improvement over SOTA. You will get all the attention of the media and prizes and stuff. But how often does that happen? On the other hand, you could also just silently wait one or two generations of Nvidia cards and get the same thing. And even better, this also works when there is absolutely no improvement in architectures by anyone. This is only highlighted by transformers, because they came out in 2017, but only now have they been able to solve e.g. the bar exam.

Scale > architecture is the uncomfortable reality that all ML researchers eventually come to terms with.
This guy has no idea what he’s talking about. He’s just a Youtuber with zero background.

Edit: not saying he’s always wrong but his intention is to get clicks.
They cannot do anything at all with the heat. The temperature differential is so small, they would get nearly zero useful work out of it.

Such a low temperature differential in fact that the heat dissipating passively is not enough to run the chips - they need to use active cooling.

See also second law of thermodynamics.
The jewish israeli mainstream hates palestinian israelis, regardless of whether they are muslims, christians, jews or atheists. Recently israeli troops shot a jewish convert israeli palestinian because they found a knife in his bag.

Israel has also transported jews to Israel from the entire region with fervour for decades, sometimes with dubious consensuality, similar to how immigrating ethiopian jews have been given contraceptives without making sure they really wanted it.

It's also a state claiming to be jewdom, period, and uses religious imagery in its warfare, so it's not surprising if people who aren't aware that many, maybe most, jews aren't zionists fall into antisemitic tropes and conspiracism.
> 6. M3 Extreme is going to be insanely power, without any E cores. This chip's integrated GPU will likely be neck and neck with Nvidia's flagship desktop GPUs.

NVIDIA has a market cap of $2.31 trillion.
I’ve seen the data the reader gives us from a dip vs a tap (inserting your card vs NFC) and there is a difference. IIRC we would get the name on the card from a dip but not from a tap. In both cases we get the last 4 digits though.
Keep in mind that LLMs are basically just sequence to sequence models that can scan 1 million tokens and do inference affordably. The underlying advances (attention, transformers, masking, scale) that made this possible are fungible to other settings. We have a recipe for learning similar models on a huge variety of other tasks and data types.
copilot hallucinates functions and packages versions all the time, it's a nightmare, I never know if I got a suggestion from a predictible IDE algorithm or the drunk overeager intern, and it's really annoying. Being on your toes means you have no mental flow, because the pothead intern is unpredictible in its suggestions.
Actually a bong guarantee is a good idea, if the city had to pay damages every time someone in a victim of crime a subway, things might be solved quickly.

You are describing tragedy of individual action. Similar story to protesting in Russia. Or using a bicycle instead of a car. Or perhaps climate change, and a few others
Ride-sharing (as a meatspace sale) never fell under Apple’s 30% IAP fee.

And as I pointed out, Netflix was for a long time willing to pay a massive aggregate fee (though not 30%, terms of their deal with Apple have not been disclosed).

Also, you may have heard something in the news recently about TikTok.
Your correct. Its ML/LLM at heart but now accepted as to the word "cloud".

Where all the "cloud" is, is an server in a datacentre with a fancy gui.

I guess we've needed a new buzz world to keep the population excited.
> cashiers expecting to be handed over your card

This is quite frustrating. I used to have a rather low limit for contactless payments. Back then, some terminals would not prompt for a PIN when the limit was exceeded and would simply decline the transaction. Abroad, I had several incidents where a cashier would take my card, see the "contactless" icon on the card and tap the terminal. It was usually difficult to explain with limited English that they needed to insert the card because the limit was exceeded.

I ended up crossing the contactless icon out with a marker.
but it already is spring 2024
What do you mean? He has 137 YouTube subscribers, and an Audi, he's where I get all my in-depth CPU architecture analysis. Be warned Ian Cutress, Vadim Yuryev is coming for you and your fancy Oxford PhD. /s
Julius AI – Your AI Data Analyst
"Infant mortality" refers to the mortality rate for those under 10 years of age.
You need

A empty line for an paragraph. HN does use its own markdown like parsing. Links are detected but html tags are not allowed
Would TikTok work as an example?
Plus, they have way too little memory for any meaningful LLM workloads that go beyond simple inference tasks or running yolo.
New York City welcomes robotaxis – but only with safety drivers
Maybe you could check out what the resistance groups and their parties are saying and get back to us?

I mean, they publish daily updates and commentary on both local and international politics.
It could have a use case in the running LLM interfaces so Apple could probably start scoping the possibility of going after NVIDIA on the server side.
> is there a greater likelihood of substance abuse and smoking in ADHD individuals without stimulant medication?

Yes, as well as self-endangering (both thrill-seeking as well as suicidal) behavior and unwanted pregnancies.
I have an M1 ultra, it compiles large Xcode projects within a few percentages faster than a colleagues M1 Max; next time I’ll simply buy a max and save the money. This might be more an indictment on Xcode however. It seems a marginal business for Apple to bother making these, I wonder how they justify it.
Towards 1-bit Machine Learning Models
Stop using Javascript on the Internet and you'll find yourself back in 1998. Advertisers, marketers and front-end devs have ruined it. Only selectively allow each JS source, fuck them.
Parental choice exists where parents can make informed choices.

You don't know how much their child is being affected by platforms that have been designed to be addictive, that go out of their way to spur conflict and argument (sorry, "engagement"), and that have so few parental controls that it's near impossible for a parent to actually vet what's going on, who's interacting with them.

You're not even allowed to give your kids alcohol. There's clearly some precedence for protecting kids from their parents' inability to make informed choices.

And ML models for detecting age have existed for a long time. It's not magic unicorn dust. It's just one way to avoid this ID stuff that everybody is upset about.
Reading his mimetic theory was a real mind blower and one of those moments that redefines your understanding of the world.
The way he seamlessly was able to describe it in so many layers and perspectives is fascinating. From a biological/evolutionary pov, to human sacrifice and scapegoating, to the birth of the 'sacred' and religions, to Christianism, and to so many facets of our modern society and human behaviour.
Though for a large amount of HTTP bots, the authors don't even bother changing the default Python User-Agent. I'd assume a large proportion of these bots still can't run concurrently.
Well irl I genuinely have an easier time determining real people from machines...
Anyone else think of a cordless phone when the saw DECT?
"Heft" is how much weight a country can throw around to affect other countries. Stuff like fighter jets & aircraft carriers, aid deals, trade deals, purchasing assets in other countries, et cetera. Most of that is in trade currency, so no PPP adjustment. Building fighter jets is cheaper in low-PPP countries, but only partially. So, no I don't think you should PPP adjust if you want to measure heft.
> If you tried everything and nothing worked, then go for the meds, and take on the risks and side-effects.

By the way — you say this with some nonchalance. Those two years of "tried everything and nothing worked" cost me my university degree.
> 8. Our most violent impulses are stirred up by similarity, not difference. For example, hatred of immigrants (and their hatred of the locals) is amplified when both live in the same neighborhood and the barriers that previously existed have been removed

Aren't people living far from immigrants the biggest xenophobic group? Cities are much more progressive on immigration issues despite having more of a mix, directly contradicting that theory.
Personally I dislike go because of its type system.

But I can see why people like it.
When I see two dots and an arc, but the other subtle but necessary body language signs are missing, it rather raises big warning flags than friendship or trust.
Feasible in a technical sense, but you have to unseat the coal industry representatives, which is going to be hard.
I read somewhere (probably here) that apples a device company and so it makes sense for them to focus on device based AI.

With that in mind, having an apple ecosystem where you can prototype and train large models to then pack down to smaller apple devices makes a fair amount of sense.
That's super sweet of you. Thank you. I do try my best.
Energy Storage Lecture – Stanford Understand Energy [video]
TikTok started as Douyin in China, where almost everyone uses Android.