skysight-inc/HackerNews huggingface dataset:
Both times I tried edibles I had a horrible time, the second time I locked myself in the toilet for 2 hours. I had an overwhelming, pure sense of (impending) doom not based on any expressable thought.

When smoking normally, it‘s easier to stop when things become overwhelming.
I’m primarily an edibles consumer

I wish marijuana use wasn’t assumed to be “smoking” by default

most questionnaires and even dating apps are like do you smoke marijuana
I don't really understand (I mean, I do understand on some level) why we don't have a decent US government agency that specializes in consulting work like this. Why didn't the BLM get the USDS to work on this website and then train them to maintain it?

I guess I don't understand why Booz Allen Hamilton is able to employ contractors for this work but the USDS is not. Is this truly the cost of building and running such a website (i.e. 2-3mm/yr according to this website)?
That’s so cool! I love that you could tap into rgba data lines and reuse them.
Society figured this out so long ago because there was no reliable birth control. It doesn't apply any more.
Ah yes, I got those confused. I'm sure the naming is deliberate to conflate a dumb and non-exciting idea with a dumb but exciting idea.
> it is a significant contributor to the West’s current decline.

Can you explain this further please?
Posted a few notes on this here: https://simonwillison.net/2023/May/4/no-moat/
What do eFuses have to do with exploits on iOS? Afaik Apple does not use eFuses to prevent downgrades. iOS downgrades are prevented via verification of shsh2 blobs.
Speaking of “shuffling money btwn banks”

The most important banking scandal was LIBOR.

They killed that scandal quicker than OWS
> For years, Bivens had been consuming close to 1,000 milligrams of caffeine per day, two and a half times the daily recommended limit and the equivalent of more than ten cups of coffee.

There it is ...

But seriously, everyone can use more sleep.
Then you can’t use passkeys!
>the time I had to call tech support, I had somebody who clearly knew details of how DHCP & IPs worked

It would be really cool if tech support wasn't considered a dead-end / low-value job. Competent tech support makes a huge difference, but it seems like the pay offered for the role means competent people look elsewhere.
Where are they moving to? Because CoL isn't everything. Quality of life is a real issue. Move to TX and you get an even worse run public utilities and anti-woke politicians run amok. Worse with FL.

The problem is not endemic to CA. It's literally everywhere because everyone who can afford it has decided to seek rent instead of profits.
It's pretty easy to understand why Las Vegas approved the project -- it doesn't cost them anything. If somebody proposed building a subway at no cost to Las Vegas they would have approved that too.
I'm feeling strangely comforted to have pictured the mythological creature before the meme.
Feudalism is right-by-might. Lands and titles granted by a sovereign.
damn, this site is trash.
Disagree that Julia solves the two-language problem, although it was a major step in that direction. It may currently solve it for specific roles (e.g. data scientists), but it does not solve it for general-purpose programming.

One specific example? Robotics and autonomous systems frequently use ahead-of-time (AOT) compiled binaries and libraries. You don't want your quadrotor / RC car / self-driving Tesla trying to perform JIT compilation while operating in time-sensitive scenarios. AOT compilation is a major Achilles heel for Julia--it's possible (with major limitations), but feels more like an afterthought than a core feature.

I can't see Julia scaling to general-purpose programming until its AOT compiling capabilities improve. JAX has some of the same drawbacks. I'm very interested to see if Mojo can fill the gap of AOT compilation with a reasonably simple syntax. (And yes, I am aware of Nim--I do wish its scientific ecosystem was more developed though).
Protection by way of the cops searching his parents house and him being charged for a felony or three. That’ll teach him to keep it (the phone, I guess) in his pants!
University of Waterloo ends research partnerships with Huawei
I don't think that will do a whole lot to protect you from the economic harm. If everyone is producing more, the value of the works are reduced. At best, nobody will will make more money, they'll just be working harder to stay at the same place. More likely, there will simply be no room in the market for as many people and most will be out of work.
> And compressed oops were added more than a decade ago

That is still recent on a Java timescale.

> Hardly? They're two words a class pointer, and a "mark words" for GC integration.

Well compare with for example C++, that can fly commando with no header, just (optional) alignment padding.

In many Java objects, the header is more than half the size of the object. That's just not good data locality. The speed-up from switching from an array of objects that has n fields to an object which has an n arrays of fields can be very significant.
The real moats in this field will come from the hardware industry. It's way too expensive to train these models on general purpose compute. Vertically designed silicon that brings down the unit economics of training and inference workloads are already being designed, in industry and in academia.
For all I know, "culture fit" means "personality clones". HR seems to love that.
My Weekend with an Emotional Support A.I. Companion
Drink a 7-11 Big Gulp of coffee every day, and yeah it'll hurt you. But an 8-10oz mug a day isn't too bad. I'm sure many coffee addicts wish they weren't addicts (not most, just any group of 1,000 or more people could count as "many"). But it's not something that needs quitting or we wouldn't be happy and healthy into our 80's.
The memo sounds like spin because it is. The surface argument is equivalent to arguing that no one could sell closed source software because open source exists, and that open source must also be commodotized (oddly, Apple and Microsoft are doing just fine). The implied argument is that Google Research was doing fine giving away their trade secrets and giving negative value to Google because it was going to happen anyway and the secrets are financially worthless anyhow.

Nonsense. There are moats if one is willing to look for them. After all, productizing is a very different thing from an academic comparison. ChatGPT is way out there _as a product_, while open efforts are at 0% on this. You can't lock down a technology*, but you can lock down an ecosystem, a product or hardware. OpenAI can create an API ecosystem which will be difficult to take down. They can try to make custom hardware to make their models really cheap to run. Monopoly? Nah. This won't happen. But they could make some money - and reduce the value of Google's search monopoly.

* Barring software patents which fortunately aren't yet at play.

EDIT: I'll give the memo a virtual point for identifying Meta (Facebook) as a competitor who could profit by using current OSS efforts. But otherwise it's just spin.
I'd agree they aren't close, but they are way better than I expected to see in a short few months. At this rate they'll be approaching "good enough" for me pretty soon. I don't always need a dissertation out of it unless I'm fooling around. I want quick facts and explainers around difficult code and calculations. Been playing with Vicuna-7b on my iPhone through MLC Chat and it's impressive.

I use DDG over Google for similar reasons. It's good enough, more "free" (less ads), and has better privacy.
> Latent, long term... what's the difference?

Most people conflate latent with long-term. They believe when researchers are looking for 'long-term' effects they're looking for things that magically show up somewhere down the line, and therefore 'we haven't waited long enough!!' and 'there's not enough data!!' - but that's not what they're doing, although they're open to being surprised.

We've studied mRNA for like 50 years now, we understand how it works enough to know that what you're suggesting just isn't a real outcome.

You are right it doesn't matter per se because outcomes are normally distributed in severity and time and if you give enough people the vaccine you can substitute that for waiting. And by vaccinating 70% of the world, we can be utterly, completely, 100% sure it's safe.

It's safe, end of story.

> Also, outright dismissal of an argument based on appeal to authority is not productive.

To invoke appeal to authority there would have to be an attempt to invalidate evidence on the basis that someone is or isn't an expert. The parent didn't provide any evidence whatsoever. If they had either evidence or experience in the area I'd take their claim more seriously (but still inconclusively). However at this point it's just some random person on the internet saying "we need more time!" without explaining why or why I should believe them in absence of data.

Sorry bud, it's MSG all over again. But like I said it's a personal responsibility thing now and if you want to be wrong you're free to do so.
15mg THC is 3x as much as I’d suggest to someone that doesn't use edibles

no matter how familiar they are with smoking
The part of the post that resonates for me is that working with the open source community may allow a model to improve faster. And, whichever model improves faster, will win - if it can continue that pace of improvement.

The author talks about Koala but notes that ChatGPT is better. GPT-4 is then significantly better than GPT-3.5. If you've used all the models and can afford to spend money, you'd be insane to not use GPT-4 over all the other models.

Midjourney is more popular (from what I'm seeing) than Stable Diffusion at the moment because it's better at the moment. Midjourney is closed-source.

The point I'm wanting to make is that users will go to whoever has the best model. So, the winning strategy is whatever strategy allows your model to compound in quality faster and to continue to compound that growth in quality for longer.

Open source doesn't always win in producing better quality products.

Linux won in servers and supercomputing, but not in end user computing.

Open-source databases mostly won.

Chromium sorta won, but really Chrome.

Then in most other areas, closed-source has won.

So one takeaway might be that open-source will win in areas where the users are often software developers that can make improvements to the product they're using, and closed-source will win in other areas.
who cares about what java programmers think lol whatever they like should be treated with extreme suspicion

> python's syntax is whitespace-sensitive and doesn't have curly braces around blocks

that's a plus. the proof is in the pudding. one language has exploded. others haven't. the end.
Sort of a Betteridge's law of headlines situation.
In other words, engage in anti-competitive behavior.
Some snippets for folks who come just for the comments:

> While our models still hold a slight edge in terms of quality, the gap is closing astonishingly quickly. Open-source models are faster, more customizable, more private, and pound-for-pound more capable. They are doing things with $100 and 13B params that we struggle with at $10M and 540B. And they are doing so in weeks, not months.

> A tremendous outpouring of innovation followed, with just days between major developments (see The Timeline for the full breakdown). Here we are, barely a month later, and there are variants with instruction tuning, quantization, quality improvements, human evals, multimodality, RLHF, etc. etc. many of which build on each other.

> This recent progress has direct, immediate implications for our business strategy. Who would pay for a Google product with usage restrictions if there is a free, high quality alternative without them?

> Paradoxically, the one clear winner in all of this is Meta. Because the leaked model was theirs, they have effectively garnered an entire planet’s worth of free labor. Since most open source innovation is happening on top of their architecture, there is nothing stopping them from directly incorporating it into their products.

> And in the end, OpenAI doesn’t matter. They are making the same mistakes we are in their posture relative to open source, and their ability to maintain an edge is necessarily in question. Open source alternatives can and will eventually eclipse them unless they change their stance. In this respect, at least, we can make the first move.
Europeans have their pick of yields for Euro-Area 3 month sovereign bonds https://www.investing.com/rates-bonds/european-government-bo...
SMS and MMS group chats are pretty unreliable compared to basically every modern platform.
Yes. We could basically say that there are two different markets for small nuclear, which will probably settle at different levels.

The first is just stepping back a bit from the GW scale plants to try to reap some economies of scale in terms of making the projects and processes less bespoke, even though the raw amount of material consumed might be higher.

The other would be uh... I guess "niche" applications? This is where scaling down even more (sub 50MWe?) happens. This could be some DoD related stuff, or trying to power remote communities (which aren't already grid connected). I'm sure there might be a handful of interesting industrial applications (I know the Tar Sands in Canada is interested in SMRs to power their steam extraction processes).
"I think we should ban ATMs, online banking, and direct deposit so I can get work as a bank teller" said no one ever. (Well, maybe someone when these were new.)

Displaced workers need support to ensure they can weather these transitions, but it doesn't make sense to artificially create demand by fighting new conveniences. If we want to ensure people have money, the solution is to give them money, not give them money in exchange for busywork.
The author's notion of OO is intentionally narrow. I don't know about Simula, but C++ is still reasonably close to Algol, compared to what Smalltalk and Self bring to the table (the author also mentions programming environments vs. text files).

If you accept that narrow definition at least for the scope of the article, it makes sense.
The number of incels out there speaks for itself.
It doesn't remember previous answer from what I see. It's just 1 question => One answer
It doesn't sound like this money is going to OpenAI exclusively, and I would guess its similar to the NSFs current SBIR but for AI (though idk, the article just mentioned "research institutes"). The NSF SBIR already gives money to for-profit companies provided the research is actually useful to society (though I don't have much experience working with them so I could be wrong)

Also, given the new tax act that is in play, isn't it basically impossible for this money to go to small businesses doing RnD? On a tangential note I am worried that this measure will just create a gradiant that consolidates more power to large businesses. Unless it is made optional to depreciate domestic RnD over 5yrs, new companies cannot use grants as funds lest they be hit with a massive tax bill and no profit to pay for it with
There was some indication recently that OpenAI was spending over $500k/day to keep it running. Not sure how long thats going to last. AGI is still a pipe dream. Sooner or later , they’re going to have to make money.
It all begins by accepting CRT monitors, PVMs and TVs into your heart.
If you were the CEO and your engineer and someone said, "2 minutes of actual work and a lot of waiting around due to the limitations of the hardware", would you interpret that as "2 minutes of engineering time"?

Obviously I'm going to spend a lot more time communicating the details of the situation to the CEO of a company that is paying me, than I'm going to spend communicating in a Hacker News comment. But as it turns out, no amount of communication is going to be effective if people don't bother to read past the first opportunity they see to jump in with a correction, even if that means stopping reading mid-sentence.
Objective C is a good example of a Smalltalk derived language that was in heavy use for a while. Even though it's technically a superset of C, in actual use it's more like a message passing language.
Oh this is infuriating. I did the same thing early on with that sketchy google form and thought I was good. But then after reading your comment, I went to my settings and it looks like I was opted in again. You also can't opt out without losing a feature (history of your chats), which is a form of coercion.
In academic literature, "ur-" doesn't just mean original, as much as it means "essential essence of" or "fundamental". In contexts where you're talking about the first/original thing, or something that provided characteristics that would eventually become a trend, "proto-" would be more appropriate.

For a famous example, Umberto Eco's essay "The Ur-Fascist" isn't describing what the first or original fascist movement was, but instead exploring what makes Fascism Fascism. This usage seems to be pretty consistent across academia, who engage in the vast majority of cases of slapping foreign prefixes onto English words.
See also the “Don’t Say Velcro” [1] campaign from the eponymous hook and loop fastener company.

[1] https://m.youtube.com/watch?v=rRi8LptvFZY
"No one goes there any more, it's too crowded."
It doesn't even require that the tenant be trying to "capitalize". Perhaps they are subletting for a few weeks, or just having friends stay over on the regular. If that is disallowed by the lease agreement, it's enough for the landlord to begin an eviction proceeding.
The common workaround isn't too bad:

typedef struct { float x, y; } vec2;

...or if forward declaration is needed via a named struct:

typedef struct vec2 { float x, y; } vec2;
yeah -- the concept of world ID if it worked is actually pretty interesting. I just dont trust Sam Altman/crypto/private industry to do it safely.
I'm always impressed with the clarity of Java's design/implementation discussions, which I think is due to Mark Reinhold's leadership since 1997 (a breathtaking tenure in its own right).

But this needs to replace stack locking with an alternate lightweight locking scheme, to avoid races. Unfortunately, that is opaque:

https://bugs.openjdk.org/browse/JDK-8291555

Does anyone have other pointers for the design or viability of the required alternative?
But some safes are Reddit proof when discovered during remodels.

-

The reason they don’t want AI open to the internet (and public) is how easily one can identify money laundering and stock/real estate fraud.
like any other software
Good that Germany left this evil technology! Imagine Siemens presenting such device, unbelievable. They can watch how other players eat their lunch. Like it happened with computer software and how it’s happening with electrical vehicles. Yes, please downvote me, but coal burning whole winter will not help climate at all.
In fairness share prices have no basis aside from supply and demand.
I think he might be referring to single device vs multi device pass keys

https://developers.yubico.com/Passkeys/Passkey_concepts/Sing...

I wouldn't be surprised if password managers implement sharing between users tho
This is easily among the rare highest quality articles/comments I've read in the past weeks, perhaps months (on LLMs/AI since that's what I am particularly interested in). And this was for internal consumption before it was made public. Reinforces my recent impression that so much that's being made for public consumption now is shallow and it is hard to find the good stuff. And sadly, increasing so even on HN. As I write this, I acknowledge I discovered this on HN :) Wish we had ways to incentivize the public sharing of such high-quality content that don't die at the altar of micro rewards.
I run a EU-based startup. We’re not a good counterexample because we’re not super huge, but at the same time I don’t know what you’re on about.

We sell globally. Notably, we can reach customers in the US easily - as easily as anywhere else really.

What roadblocks am I supposed to be experiencing that wouldn’t be there in the US?

EDIT: I'm not saying there's no reason there's no Google-size tech businesses in Europe. There is, or there would be. GP's tone suggests (to me) that European governments can make some easy (ish) fixes to remove roadblocks for startups. I just do not believe that the key problems with the European business climate (culture, ambition, VC-funding) are things governments can easily fix.

Eg my government (NL) tries to fix VC funding by running a bunch of government-funded VC funds and tbh it's a bit of a mixed bag. They're not bad investors to have but I doubt any Google-sized venture is gonna come out of those any time soon.
Problematic analogy. The primordial single-cell organism was alive - a living, self-sustaining, self-replicating entity - and, to your point, the first in a long evolution of life forms. The compute procedures we refer to as "AI" have few similarities. GenAI and NLP are amazingly powerful for manipulating sequences of tokens and of text passages - quite handy! But completely different in kind from the intelligence of living entities - of which humans are but one of many.
Aren’t they? Banks are out to make a profit not better the lives of their customers. Certain industries are nationalized for good reason.
The entire set of YouTube training videos needs to be re-transcribed before they are useful for training LLMs.
For every platform/ecosystem you are using (Chrome, Apple iCloud), you had to create a new passkey. For people using multiple different devices and platforms, this is a headache. I want to sign up once and be done with it.
Not a fan of snarky comments generally, but this one made me laugh. And cry.
> It's a genuinely insightful summary of the last few months of activity in open source models

Yes this is an amazing summary! Just for its summary alone, it is probably one of the top five writings I saw on LLMs and I read every one!

> because I have trouble imagining anyone writing something this good and deciding NOT to take credit for the analysis themselves.

Not everyone has a substack that they spam onto hacker news every time a thought enter their head. Or imagine that INTP exist. In my opinion the best take ever on LLMs is the simulators essay https://generative.ink/posts/simulators/ and the author is so shy they went pseudonymous and put their twitter as private and don't even want their name in conferences.
For a brief but significant period of US history, the news-gathering field at least endeavored towards objectivity.

Now they don’t even try.

That’s what people are complaining about.
The dynamics being discussed existed long before that. In any case, I'm pretty sure that very few people moved to Colorado specifically because of mj legalization as opposed to the other forces that made mj legalization possible there.
Seems to be the Open Source who is the real winner overall.. After OpenAI became basically ClosedAI it's an excellent news
I could have, but I don't think I should have to massage the facts to get this fixed. I made the account. He just lost his password.
Yeah, this is a huge thing here. I have some friends moving into one of their great-uncle's 3-bedroom apartment in the West Village that is rent controlled at < 1/3 the market price. They've been scheming it for literally years. Its great for them but terrible for the market at large, and we'd be better off as a society if these things didn't happen.