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californical

1,816 karmajoined 7 वर्ष पहले

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californical
·9 दिन पहले·discuss
I don’t hear this perspective too often in my bubbles and it does make a lot of sense - the money of these people would be a means to an end. Sure they might want more money to enable their goals, but the money itself isn’t the goal.

Thanks for sharing, it’s nice to be reminded of potential other motivations of people who outwardly seem to just want to accumulate money.
californical
·14 दिन पहले·discuss
If we actually do meaningfully automate intellectual labor, we create a world where we have real technical solutions for our toughest problems. Maybe we can get carbon capture and fusion energy working. There’s a theoretical world of abundance for us to explore.

That’s the steel man argument.

FWIW I mostly don’t believe that LLMs are the answer, I don’t think they’re going to reach a high enough level of capability to do this, and I think the current AI companies are problematic in a lot of ways.

I also think LLM use is bad for us and probably harms our thinking abilities. And using it takes away a lot of what it means to be human.

Personally I like both physical and mental difficulty. I like gardening even if I could just buy mass produced flowers. I like riding a bike even though cars are “easier”. I like playing ukulele with my family even though I can barely make a chord, much better than listening to some other real musician, or Suno ai generated songs. I like eating my wife’s sourdough bagels even if they take several hours more than just buying some.

And I think having those regular challenges and achievements make life worth living! And I worry that the AI future that some envision will make much of what we get value from feel meaningless in the same way that writing code by hand is starting to.

Maybe we’ll still be fine in the same way I find meaning in all of those things that I listed above. But damn what a gamble
californical
·14 दिन पहले·discuss
I think we also would need to know how many of these warnings they gave where nothing bad happened
californical
·15 दिन पहले·discuss
You could also come up with a cure for cancer, but if nobody knows what you’ve done then there’s not a whole lot we can say about it
californical
·17 दिन पहले·discuss
My TB5 dock from OWC on a M4 Pro MacBook can run dual 4k 240hz displays, 2.5gb ethernet, and several peripherals no problem. It also provides 100W of power. All over a single cable. So good these days
californical
·19 दिन पहले·discuss
Normalizing by miles driven will take you to the wrong conclusions. It underestimates the extra deaths directly caused by the fact that we’ve built exurbs farther and farther away from where people work over the last 20-30 years.

So maybe deaths per mile would be similar, but we’ve pushed people further and further so they have to drive more miles, increasing the deaths due to poor design.

Building society in a way that we increase deaths due to poor planning, like making driving the only option for the majority of people, gets hidden by statistics like “per mile” or even speed limit changes, which are also more necessary as people need to go further to get to their daily activities, rather than everything being within a short walk or safe bike ride
californical
·26 दिन पहले·discuss
I’ve agreed for a long time… Unfortunately though, Apple Maps just added Ads, so expect them to start having the same issues as Google Maps does (like showing big ads for every location whenever you’re moving around at the map).

After Apple Maps being one of my favorite reasons for having an iPhone for the last 7ish years, I’m back to OpenStreetMaps mostly, or still Google to look up business hours. Sad… but having downloaded maps will probably be a good thing long-term
californical
·27 दिन पहले·discuss
It’s filling in a lot of the holes, but it’s putting a very convincing paper cover over the ones it misses. So it’s very hard to find the ones it didn’t fill, better hope your most valuable customers don’t walk over the paper ones!
californical
·28 दिन पहले·discuss
Sometimes, even usually, evolution finds a “local maximum” of effectiveness. Where the solution an organism finds is not optimal but it’s good enough for the organism to survive, even win.

So yeah I’m sure evolution didn’t create something perfect in the disease here but it survives long enough, and kills few-enough people slowly enough in the wild to survive
californical
·29 दिन पहले·discuss
I mean my state has been making it illegal to download 3d models of pieces that could be used to make guns in a 3d printer

It’s a very broad law and likely not legal, but it’s going to take a long time to be fought through the courts, and in the meanwhile people will probably be arrested for creating or sharing a file for something that may be able to become a gun part.

You’re correct that it shouldn’t be a thing but unfortunately American society is not in a good place right now
californical
·29 दिन पहले·discuss
Oh California has its problems too, I moved away from California after living there for a few years due to the impossibility of affording a home. It’s a beautiful state but the affordability was oppressive, even for high earners. On top of a bunch of other social issues of their own.

Absolutely not here pretending that California is some promised land. Hell, even the state I ended up moving to has its own problems.

It’s just that the problems that Texas does have are untenable for my family.
californical
·29 दिन पहले·discuss
Honestly it may be 50-50 purple in population, but the policies are what affect people the most. I’m not even worried about Democrat vs Republican, as I’m not associated to either party, and both have their share of crazy.

There are a number of laws in Texas that make it a non-option for many of us.
californical
·पिछला माह·discuss
Yeah, I cancelled my Claude subscription yesterday after learning about their attitude of intentionally sabotaging their paying customers.

Especially after trying Fable yesterday for some benign projects and being unimpressive relative to opus.

Rolling it back is the right move, but I’m still not convinced that using them is in my best interest anymore, I’m investigating open source cloud providers now.
californical
·पिछला माह·discuss
Will you though? I see this repeated, but I’ve almost never changed products because one has 10x more features than another.

I usually buy and use products that are simple and effective, and that get out of my way to do the thing that I want to do.

For email, I’m a happy customer of Fastmail and I’ve been paying them for years. I don’t care if they ever release a new feature and I’d never switch away from them to a competitor that’s less stable but does more. They release improvements slowly but they are very stable. But I would switch away from them if they start shoving AI into things or delivering subpar features that make my email worse.

For healthcare related websites, I can already see my test results, schedule appointments, and communicate with my doctor. What more could an AI-driven medical platform give me that makes my life better?

For maps — I unfortunately had to move away from Apple recently when they added Ads. So I’m mostly just using OpenStreetMaps. I could see AI improving the OSM functionality by updating the app (OrganicMaps) routing algorithms and such, so there is room for growth there, but it’s not that massive.

Can anyone offer features that Uber can’t now due to LLMs? There are a bunch of local Uber competitors but uber wins because it’s easy and there aren’t major features to differentiate there.

Do you have examples that prove that delivering a bunch of features really fast is going to steal customers from something?
californical
·पिछला माह·discuss
I’ve also been trying to use it a lot due to all of the hype, but when I compared it side-by-side on a specific problem against Opus, I think that the solution Opus came to was cleaner and more accurate, although also more verbose.

Small sample size, but if Mythos/Fable was that much better, I feel like it should’ve given me an obviously better answer than Opus.
californical
·पिछला माह·discuss
> the safeguards will limit effectiveness through methods such as prompt modification, steering vectors, or parameter-efficient fine-tuning (PEFT)

Holy crap that is dark. I like learning about ML for fun, and now I have to assume that their model is intentionally misinforming me to sabotage my learning? It is absolutely bananas that somebody decided that was ok behavior.
californical
·पिछला माह·discuss
Check out Swinsian.

It is basically old iTunes with some UI improvements and modern features built around somebody who has their own library to manage. Been around for a long time.

It’s great software that I’m willing to pay for in today’s world for sure.
californical
·पिछला माह·discuss
Are there really companies losing right now for using less AI?

Think - would you rather your telecom company’s customer support be AI-forward? Would you pay an extra $5 per month to ensure that you get humans solving your problems immediately when you call with an issue?

What about your backup software? Would you rather choose the company that comes out with new innovations in backing up your data and tons of features, but occasionally breaks everything? Or would you want to choose a company for backup software that is slow at adding anything new and reliable? Isn’t it good if this is deterministic?

What about even a fitness tracking watch. Are there really that many missing features that need to be released way faster? Or is it better if it just tracks your heart rate and workouts well and then gets out of your way? Same here, don’t you want the features to be reliable and deterministic?
californical
·पिछला माह·discuss
Generating hydrocarbons at home from their air with excess electricity is like the ultimate endgame in my opinion. It’d be so sick and enable a million new possibilities, essentially getting us into a net-zero emissions state without needing to use batteries for everything.

I doubt that it ends up being actually better due to efficiency losses but it’d be really cool!!
californical
·पिछला माह·discuss
> There are also differences between discrete neuron firing and weights as signals, but there is enough similarity to make artificial neural nets useful and do things similar to what real one do.

There is barely a surface-level similarity. The best example I can come up with is this…

Imagine the most intricate and beautiful tall building that you can think of. Think like an older skyscraper in Chicago or a palace. There are water features and moving parts everywhere but also tiny little handmade carvings and materials throughout.

Now imagine we have no reference designs and no blueprints - we hire an architect to attempt to study the building by looking at it from a distance and understand everything they possibly can about it. She can go into the building to check but every time she does, it stops functioning normally.

That architect is a neuroscientist.

Then the ML researcher is like a graphic designer who sees the work that the architect is doing and makes a napkin sketch of the building the architect has been studying, to use for a project later. Sure the designer has some of her representations. But the difference in complexity between the designer’s napkin sketch and the architect’s analysis is massive. Several orders of magnitude.

Then another many orders of magnitude is the level of detail that the architect can understand about this strange building without being able to fully interact with it, versus the actual complexity of the building.

So yeah, an AI is modeled after neurons in the sense that they represent a couple of surface level features of neurons. But the difference in complexity is about as much as a napkin drawing of a grand building represents the actual structure and details of the building, no matter the level of skill that the graphic designer has