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Sigh. I had the m4 in my cart yesterday and now it is gone.

Mine was much later, in the Triplets of Belleville (2003). In case it brings a nostalgic smile to anyone else’s face, too:

https://m.youtube.com/watch?v=N0VrHQ-cHUA&


Yes?

That's pretty embarrassing. It's such a poor representation of gaming. I'm surprised anyone is still talking about it.

It actually might. It affected the mood of stockbrokers in the 1980s, both because of general energy levels and also because they were addicted and had to keep the money flowing. That must do something to macroeconomics.

True. However, often times the people benefiting from this are plenty fed.

Which models when run locally come close to Sol and Opus, from your experience? And which harness do you use?

This is delusional. Are you ready for the biggest short ever?

I do think it's closely related to women, because like you say, girls go for runabouts. Girls think the communal farm hippie is romantic, the satan-woshipping metal band member is romantic, the (2000s) kid rock punk trailer trash is romantic. Girls who have looks but are born poor seem to have no choice but encourage it. Murphy's law rules: if it's stupid (breaking windows) but it works (she likes me), it isn't stupid.

I feel like society kinda ran out of rebelliousness with kid rock and then rap culture (late 2000s Jay-Z, Chris Brown). It seems to have dried up. Modern lookmaxxing and gym rat culture, travel vlog, influencers are now the cool kids, van-life and nomadic travel are the new stick-it-to-the-man.

Young people are going to look at Ukraine and realize that flower power and stick-it-to-the-man are utterly bizarre. Who in Ukraine is doing the John Lennon routine? John Lennon's message is totally bizarre now.


You're wasting more of their money by using it. I've personally siphoned probably a few million in electricity costs alone from them while giving them pennies.

I'm expecting the drop for a couple of reasons.

For 1, AI datacenter builders have said that they have more equipment than they have places to put them. Leaving a ton of hardware shelved while you wait for datacenters to build out is bad business to say the least.

For 2, I think we are nearing saturation for the usefulness of AI. I certainly could be wrong, but I don't really foresee there to be a bunch of new exciting usages of AI that will ultimately justify the continued buildout.


But why a Mac mini over a $30 raspberry pi on the same residential connection?

As a teenage nerd downloading and playing videos on his Pentium II with a 14" SVGA monitor this Onion article cracked me up https://theonion.com/new-5-000-multimedia-computer-system-do...


I’ve wanted the idea of a home server or even home “mainframe” and some terminals for me and family forever but the idea never takes off….

Just the other day I mentioned how odd it was that Mixtape felt just like AI-Art. At first glance it has great visual style and seems cool. But spend more than 5 minutes with it and you’ll agree there’s nothing there. It has zero ART inside. It’s one hundred percent vibes.

I’m not claiming this title was made by GenAI. I’m saying something much more insulting: that the human artists who made it have no talent.


if the mafia boss tells his sons that they should avoid a life of crime, that he has made many mistakes and made things worse for society and himself, is he a hypocrite? should the boys follow his advice?

my read is yes and yes

are you suggesting it should instead be yes and no?


No? The numbers I quoted were GPU numbers, sourced from this video [1].

Also I explicitly acknowledged in my first comment that real devices won't be able to draw that kind of power. But 4 watts is 4 watts whether it's in a test bench or a phone.

[1]: https://www.youtube.com/watch?v=BCCJuOopLK8


pp is prompt processing how fast it processes the prompt. Tg is token generation how fast, it generates tokens.

The point is that it's trivial to fix the problem of cooking the waterfowl or writing your code with existing tools. Just ask them to verify.

“No man ever steps in the same river twice, for it is not the same river and he is not the same man.”

I'm seeing this nostalgic sentiment a lot on forums these days, but it's not just about bringing back ye old usenet groups: you also need to bring back the way people thought back then. It's hard.


Stepping back a bit, if you are working remotely that's likely a proxy for an increased likelihood of job loss due to AI.

Why start and invest in a construction project for a building that may not be staffed long term? Perhaps renting a small coworking space in town is the safer financial move. And have your employer pay for it.


Incredible that LMStudio, an open and ever evolving (unstable) project, is cited as a speed reference.

This thing is going to cost >$10K, probably, which I think means it's not in the consumer segment

As far as I understand Acadia gives you Acadia <-> Native class data sync, only just Haskell and Elm at the moment unfortunately.

I'd be willing to rewrite queries in some other language that transpiles to SQL if it allows me to do all the queries I want and gives me full compile time type support for db access in return.

The policies look interesting too by the way, but they don't solve a major IMO.


Again though, these recommendations are so vacuous. If you already are a capable developer, then you can pick all of that up within a week. "Learn AI skills" is such a low effort reflexive response that I'd expect it from a non-technical executive, not from an HN commenter.

1-2 RTX5090 will be better value than Macs because they have the memory bandwidth for somewhat fast local inference.

The RAM in the M5 is LPDDR5X, not HBM. You're right of course that it's unified and used as VRAM in that sense.

You don’t think Anthropic belongs on that list? They’re working as hard as possible to plunder most of human creation and disturb all human life so that they can enrich themselves.

https://archive.today/iLNaE

Takeaways:

* Software companies are facing a crisis of confidence on Wall Street and are trying increasingly aggressive strategies to address it.

* Some companies have launched their own AI products and argue that they’ll be able to successfully ride the boom, while others have turned earnings calls into advertising venues for their new products.

* Investors don’t believe that legacy software vendors’ AI tools are spurring an increase in revenue quickly enough to counteract potentially slowing growth in their main businesses.


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