skysight-inc/HackerNews huggingface dataset:
Good point. This calls to mind LeCun's recent argument about missing models that can learn from raw experience or "self-play". When we have a ChatGPT that understands language strictly from audio / video inputs, then we can start to talk about human-like intelligence.

As for AlphaGo, I would put it the same category of intelligence as a calculator. It does one thing well -- approximate a Monte Carlo Tree Search.
The Pi does not have a Secure Enclave for secrets; as far as I know. However, it does have OTP (One Time Programmable Memory) also known as e-fuses, which if you burn a key into, it will check whatever it boots matches that key. No Secure Enclave is necessary for that functionality.
So you're saying that, in general, women have less of a desire for sex then men?
Genetic cause is often what is claimed of things that are not very well understood at all.
Myopia being one of them for instance. (it's actually often an adaptation process that is actually found to be reversible)

Wrt SZ, not only is it very badly understood but a lot of the symptoms can be attributed to biochemical disorders and that does not necessarily imply a genetic predisposition at all.

Caffeine can induce psychosis, so can THC. For instance, caffeine is an adenosine antagonist, which itself is a dopamine antagonist.

So from a DSM pov, a lot many people can be diagnosed SZ when in fact, the amplitude of the disorder is caused by repeated psychoactive substance abuse.

Even owning a cat (parasites) is thought to be a possible cause for schizophrenia.

Then again, who knows what lies in people heads too?
Perhaps that the thoughts they hear are real and some people just can't process it properly which drive them to do strange things. We discount people's experience but there are so little ways to non-intrusively explore people's internal state.
A true scientist wouldn't discount that possibility too.
Well, that is your view. We are both just voicing our opinions, so without any concrete evidence neither of us can fairly state one as an outright fact, pessimistic or not. I will respond to your points, but since our conversation began as a discussion about academic behavioral research and is now 100% an exchange of opinion between non-experts, I'm going to get off at this station.

>if it results in China or India developing more effective models faster and more cheaply

Why should we project that possibility? The most successful research centers for new AI development have been American organizations like OpenAI and Google with clearly stated diversity policies. And of course, this OP is not about private companies, it's about a public resource program. Do you have any evidence that China and India are developing more effective models faster and more cheaply and that it's because of some specific lack of attention paid to ensuring public resources are broadly accessible to all demographics?

>We may be diverse, but that needn't mean every sector of every niche in every industry must be so or that it would be better if it were.

Rather than address this whole point, I'll revisit that we are talking about a federally funded public education program. I do not think a federally funded program to develop a bigger AI workforce in America would be more successful if it did not serve all Americans, and especially not if some of the funding were diverted to gatekeeping its resources to specific demographics.

This is strictly personal opinion, but mine is: America is not China or India and that extends to the values enshrined in our founding documents and constitutional amendments. It is my view one of those values is equal opportunity for all, and it is my view we should not compromise our values for a perceived opportunity to better "compete" on an arbitrarily constrained playing field with other players we feel do not share those values. I think modern history has repeatedly proven that democratic and equitable organizations and countries prevail over those that are not and I don't see where in the lesson plan of America's history we would glean the insight that we should compromise our values now, in this case.
I've been lightly following some of their work here. From the outside, it seems like a lot of this has been born from optimizing the JVM over the past few decades, running into fundamental problems with how dynamic the JVM can be, then targeting changes for making that dynamicism opt-in, either through JVM flags or new features.

I do think some of it is kinda interesting: some people might say "if you never do X, we can guarantee Y". But it's nice, as a programmer, to be told "if you use feature A, you will never do X, which means we can guarantee Y". It's a lot more comforting that I can't slip up and accidentally do X.
It affects both sexes. In terms of gender norms, people are quick to point out the effect it has on girls (the societal gender construct, not necessarily the sex) because they apply stereotypes of caring deeply about their looks and comparing themselves to other girls. Western society places a lot of importance on looks for girls and women.

Meanwhile, boys struggle just the same, society just doesn't really accept vanity in teen boys the same way they do teen girls. Being a teen is very rough these days in terms of mental health, and this applies to all genders and sexes.

We had IRC, BBS et al in the '90s, they weren't designed to be addictive. It's such a different landscape these days for so many reasons. Models were airbrushed, then models started being Photoshopped, that affected how people felt too. It isn't necessarily a problem unique to social media.

Imagine reading a magazine full of ads and perfectly good-looking people almost every waking hour as a teen. You're going to end up very unhappy if none of what you're seeing looks like you. This is why representation is important, but when it's reduced to a box-ticking exercise then we have a problem, albeit a different one.

Teen suicide has been a problem for a long while though, even pre-internet.

MySpace was interesting because you saw average looking people generally instead of algorithmic focus on the best x. Not saying MySpace was healthy though, the "number of friends" popularity contest and hoping to be in someone's "top y friends" was miserable.
Geoscientist discovers new material after New Port Richey lightning strike
>Typically the algorithms used work great

I hope you let the word "typically" do some stretching before you used it, because it's doing a lot of heavy lifting there. You have no idea what algo was used by each system. Assuming some landlord is going to install the top of the line equipment using the most advanced software with these algos that "work great on all populations" is just so generous that I want to see take advantage of that generosity.

Facial recognition is at best a parlor game. Yes, it can be super helpful for personal use in sorting through your own private library. If facial rec messes up in that situation, no harm is committed. When someone is denied access to their building, harm is committed. When someone is mis-identified and arrest warrants issued on an innocent person, harm is committed. To even begin to think that facial recognition is bullet proof in all instances is just folly.
A char is 1 byte by definition. But the type of a character literal (the 'x' syntax) is not a char, but an int instead.

The C type system generally matters so little that the type of an expression has little relevance (sizeof is the most notable exception to that rule), which obscures this fact.
Top ex-Google AI researchers raise funding from Thrive Capital
I don't mind switching depending on context. But I wonder how it works, how can the brain be wired for vim keys in some programs and not in others, how does it do it? I'm vaguely impressed.
> The fact that GitHub being down can have such an impact means that Git’s decentralised features don’t go far enough

Github was created to literally bring central server to a decentralized system. Yes, when that central server goes down, that's a problem for its users. It has nothing to do with Git.

You can, if you'd like, send Git patches in emails, or via snail mail, and you won't be influenced by any outages outside of individuals' laptops (which will affect only those individuals). Also, good luck managing your 250 microservices that way.
> But Europeans buying US Treasuries would be subject to currency risk,

So would Europeans buying Verizon which was the example that your parent replied to.
HomeAssistant also has a built-in HomeKit Bridge integration. Was a seamless setup experience for me.
I've been saying the same things for weeks, right here and in the usual places. Basically - OpenAI will not be able to continue to commercialise chatGPT-3.5, they will have to move to GPT-4 because the open source alternatives will catch up. Their island of exclusivity is shrinking fast. In a few months nobody will want to pay for GPT-4 either when they can have private, cheap equivalents. So GPT-5 it is for OpenAI.

But the bulk of the tasks can probably be solved at 3.5 level, another more difficult chunk with 4, I'm wondering how many of the requests will be so complex as to require GPT-5. Probably less than 1%.

There's a significant distinction between web search and generative AI. You can't download "a Google" but you can download "a LLaMA". This marks the end of the centralisation era and increased user freedom. Engaging in chat and image generation without being tracked is now possible while searching, browsing the web or torrenting are still tracked.
The claim that Fortran and assembly languages "trace to" Algol is... odd. Fortran I was released in 1957; the first fragmentary spec for Algol wasn't released until 1958 (with Fortran project leader John Backus as one of the primary contributors). And there were also recognizable assemblers, in the modern sense, at the time (although terms like that weren't always used with their modern meanings in the 1950s, which lays up all sorts of traps for the unwary).
If you want graph algorithms -- not yet. If you want ability to easily work with hierarchical data to build apps--it's the best.
This is the most quintessentially hackernews comment ever posted.
https://landing.google.com/advancedprotection/

AFAIK this removes the ability to use a phone prompt as 2fa.
If by "skin in the game" you mean not having any human oversight, then sure there will be problems. But we already are seeing ChatGPT used to deliver real value. For example, I've used it to help me take care of my parents-in-law. Help answer questions, interpret test results, etc... It's been great and paid for itself 100X (if not 1000X) already.

Also started using it to diagnose a car issue I had and it helped me go down a path, which I then had a follow up question -- and it nailed the issue. And I know nothing about cars.

And at work people are using to generate starts for various communications.

It doesn't have to go from toy to a task where a comma costs you millions. There's a lot in between that.
I wonder if OpenAI knew they didn't have a moat, and that's why they've been moving so fast and opening ChatGPT publicly - making the most of their lead in the short time they have left.

I find it incredibly cathartic to see these massive tech companies and their gatekeepers get their lunch eaten by OSS.
"the strong tendency of H to follow T or of V to follow
Q"

Shouldn't that be U instead of V? Or am I missing something.
>"Server Actions in Next.js have been designed for deep integration with the rest of the data lifecycle, including the Next.js Cache, Incremental Static Regeneration (ISR), and the client router."

I'm personally going the other way, moving as much logic as possible out of Next.js.
I want to keep my frontend clean, simple and separated from the backend as much as possible as this is clearly where must of the churn happens.
The major differences between an event bus and a workflow engine is the workflow engine:

- Creates and updates events/messages for you

- Maintains consistency between the events and timers and the state of the processing flow. More info on why this is important for correctness/resilience: https://youtu.be/t524U9CixZ0

The difference between workflow code and using an event bus is that with the former, the above is done automatically for you, and in the latter, it's done manually, which can be a lot of code to write and get right, and is harder to track/visualize what happened in production and debug. It would also take a lot of events to get an equivalent degree of reliability—the message processor would need to do a single step and then write the next event to the bus. So a 10-line workflow-as-code function would translate to 10 different events in the bus route.

Also, the event bus route doesn't have the new possibilities I listed in the parent comment.
first question I asked, how old are you.

apparently he's 41 years old and still attending hogwarts.

The problem with these AI systems is that they are great for responding with "realistic" responses that sound right but are still wrong given the context.
Weird take, 3 feet is still quite narrow.

at 2ft wide, most people would not be able to walk down it and have to turn sideways, let alone evacuate.

The 95th percentile male hasshoulders ~23 in wide, and eblows protrude further.
Assuming you're talking about the free ChatGPT product, it's important to consider the value of the training data that users are giving them.

Beyond that, they are making a lot of money from their enterprise offerings (API products, custom partnerships, etc.) with more to come soon, like ChatGPT for Business.
Can AI and fMRI “Hear” Unspoken Thoughts?
Your pricing is... uh... really something.
There's a really interesting line of research that suggests Schizophrenia is a spectrum, rather than a binary. Lots of people have personality traits that are similar to schizophrenics or have genetic risk factors for the condition. Some of those people develop the full disorder, and some don't.

There's evidence that the reason for the split is that psychosis is itself damaging. Once someone has a psychotic episode, they are much likelier to have more. But the earlier a psychotic episode is interrupted, by anti-psychotics or therapy, the better outcomes are. So the implication is that many people have some degree of vulnerability to schizophrenia, and only those who have psychotic breaks develop the full condition.

That's a possible causal explanation for a link between marijuana and schizophrenia. Someone who's got some vulnerability to psychosis, but wouldn't otherwise have developed schizophrenia, might be pushed over the edge by heavy drug use. This jives also with anecdotal reports of people who've had really terrible reactions to other psychedelics.

There's a fascinating account by a psychologist who's also schizophrenic. He didn't have his first psychotic break until he was 33, far later than average. He talks about the personality traits of schizophrenics, how he noticed something was off and got early therapy, and how he credits that with delaying a psychotic break and improving his outcomes.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2632294/

Not a doctor or scientist, just regurgitating research I read for personal interest.
American banks don't rip us off to that degree. They aren't nationalized.

The biggest rip-off in American banking is that narrow banking is effectively illegal (not the banks' fault), but HYSAs are starting to get around that.
> There are two ways you can overcome it: gain control or relinquish the desire for control.

What if both of these are difficult? and how would you relinquish the desire?
> Giant models are slowing us down. In the long run, the best models are the ones which can be iterated upon quickly. We should make small variants more than an afterthought, now that we know what is possible in the <20B parameter regime.

Maybe this is true for the median query/conversation that people are having with these agents - but it certainly has not been what I have observed in my experience in technical/research work.

GPT-4 is legitimately very useful. But any of the agents below that (including ChatGPT) cannot perform complex tasks up to snuff.
In fairness, Flow is OSS in name only and almost all major adopters have switched to Typescript after they committed to ignoring the community. Jest was wildly neglected with serious issues for a long time. Yarn shipped with major issues that made it unusable for years, then was handed off to the community. Prepack was "shipped" and immediately killed. JSX has been stagnant despite the community wanting to move the (existing) JSX 2 spec forward. HHVM pivoted to ~abandon PHP and focus exclusively on Hack, leaving many companies to switch away (see: Box).

If you're a front-end engineer or dealing with web technologies, Facebook has repeatedly pulled the football away.
And big ones require government subsidies, tax breaks, and federal insurance since they are uninsurable on their own. Externalities are critical in nuclear and it still doesn't make money for the operators.
>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.

Midjourney is easier, its not better. The low barrier to entry has it popular, but it isnt as realistic, doesnt follow the prompt as well, and has almost no customization.

SD is the holy grail of AI art, if you can afford a computer or server to run SD + have the ability to figure out how to install python, clone Automatic1111 from git, and run the installer, its the best. Those 3 steps are too much for most people, so they default to something more like an app. Maybe it is too soon, but it seems SD has already won. MJ is like using MS paint, where SD is like photoshop.
> the socialists and communists out there

How many do you know? As far as I can tell, in the US you could fit all of these folks in a single medium size stadium. And it probably wouldn't be full.
> Since most open source innovation is happening on top of their architecture, there is nothing stopping them from directly incorporating it into their products.

There’s also nothing stopping anybody else from incorporating it into their products.
I don't think you or OP or anyone else here is trying to offend. Nor do I think most people hearing the term would find it offensive.

But like I said: the alternative is both more descriptive and avoids the issue. This feels like an easy one.
Colorado just seems to be making leaps and bounds on so many progressive issues. Now if they could just make that same progress on housing and urbanism.
I've actually hears that ServiceNow and SAP are both EU based, which really seems to me to prove the point more than anything.

SAP when a beaurcratic problem needs and equally byzantine solution
the real issue here is that rental control is awful policy and leads to these kinds of bizarre market distortions

abolish rent control and legalize building more housing
Weirder than the equivalent SQL? ;-)
> I'm only there because mom is there.

Why should that keep you there, though? She's your mother. Surely, you can talk with her directly even if she is on Facebook.
All hot paths are in Rust or C, Postgres is the engine under the hood. Performance shouldn't be a big concern for you and will likely greatly surprise you: https://www.edgedb.com/blog/why-orms-are-slow-and-getting-sl...
How to style links that don't look ugly
Is Rowling still infamous for issuing takedown orders for fanfiction?
I'd say model training is a search for parameters that approximate a function.
> Linux won in servers and supercomputing, but not in end user computing

"End user computing" these days means mobile, and mobile is dominated by Linux (in Apple's case BSD, but we're splitting hair) and Chrome/WebKit - which began as KHTML.

The only area where opensource failed is the desktop, and that's also because of Microsoft's skill in defending their moats.
Meta's leaked model isn't open-source. I can found a business using Linux, that's open-source. The LLM piracy community are unpaid FB employees; it is not legal for anyone but Meta to use the results of their labor.

I know this might be hard news but it needs to be said... if you want to put your time into working on open source LLMs, you need to get behind something you have a real (and yes, open source) license for.
I am aware of oscenity laws and tests but the question is if Utah was outright violating the constitution or not, to the point the person I replied to claimed they were being authoritarian. Now, they can fight with DoJ or ACLU in court and resolve the legality of it, but similar restrictions are not unusual.
Staying connected: Mad scientists cultivating a new Internet together
That Manhattan Island was sold for $24 shows how unnatural land ownership is. The natives making the sale had some concept of ownership, but did not comprehend that they were giving up perpetual, fully exclusive rights to the land.
Interesting to see how this goes - Q1 2023 still looking pretty rosey compared to Q1 2019.

- Revenue: 9,540 (Q1 2019) vs 14,207 (Q1 2023)

- EBITDA Margin: 13.0% (Q1 2019) vs 27.9% (Q1 2023)

Percentage wise, revenue from Logistics and Services is up by 2.3x (3471 vs 1521) over that time period, while Ocean Shipping revenue is only up 1.4x (14207 vs 9540). Guess that hammers the CEO's statement: "We are pleased to note that customers continue to value the integrated logistics solutions and close partnership we provide".

Looks like Maersk will keep trying to drive up the value chain.
> It's a lot more comforting that I can't slip up and accidentally do X.

Indeed, this is why value semantics (i.e. structural equality) for language constructs like ADTs is so wonderful. Because a program can never observe "identity", which is an implementation detail, the implementation doesn't have to use objects at all underneath. That opens a whole host of value representation options that aren't otherwise available.
It's funny when a company like Amazon, which many would think is on the cutting edge of automation, implements their status page as a manually updated static page.
The stack is important to Forth, but equally so is its threaded-subroutine-call nature, which isn't present in other early languages that I know of. That puts Forth halfway between assembly and higher-level (and easier to read) languages. I never saw it as a macro language.

At least that's the viewpoint I'm familiar with from back when we heavily used it.
Or they left because it was no longer providing them value - but that is a consequence of circumstances which are always changing.
> I don't see any signs of that though.

Even if we take it for granted that package downloads are hidden, how should we account for the ~40% drop in new questions in the Angular tag on Stack Overflow since its peak in 2018?

https://insights.stackoverflow.com/trends?tags=angular%2Crea...

In the Stack Overflow developer survey last year, Angular was 52% loved versus 68% for React and 63% for Vue. Can we find a way to dismiss this as well?

https://survey.stackoverflow.co/2022/#section-most-loved-dre...

On the freelancing platform Codementor, based on rough sampling, there have been about 338 Angular requests in the past year versus 2098 for React (6x).

Sure, Angular won't die outright because the enterprises that have adopted it will need ongoing support, but this seems like a weak metric for growth. For enterprises selecting a tech stack now, choosing Angular chops the hiring pool by a significant factor. I don't see evidence of advantages Angular offers overcoming that.

On the other hand, React has gained new life through frameworks like Next.js and maintained relevance. React's popularity is not just individual engineers making a disproportionate amount of noise on blogs. React hooks are the most established unit of construction for making components at this point across web, mobile, desktop and command line. That won't last forever, but there are too many signs of Angular trending out and React trending upward to dismiss.