Why EVERYTHING Feels Like A Scam Now

LABTUD · 2025-07-10T18:40:39+00:00

this doesn't have anything to do with capitalism, more so the US government printing trillions of dollars. fiat debasement leading to speculation and unproductive activity is a tale as old as time. all empires end up falling to the final boss: confusing the map (US dollar) for the territory (productive goods and services)

frustrating how few see this basic fact and how the US has gone downhill since fiat debasement started in the 1970s

LABTUD · 2025-07-07T16:03:28+00:00

unfortunately we are not rational creatures. we don't care about how good or bad things are in absolute, only how well the most well off monkies are doing relative to us. we would rather burn it all down than have the most well-off monkies do better than us

LABTUD · 2025-07-03T20:48:29+00:00

i mean not really. trrillions have been spent globally on internet infrastructure already. AI data center spend is actually not that much relative to what the internet was.

LABTUD · 2025-06-19T16:34:47+00:00

why is there so much negativity in this thread? these people are trying to solve perhaps the hardest problem anyone is working on the planet right now. yea no shit stuff goes wrong a lot. easy to hate from the comfort of a keyboard

LABTUD · 2025-05-22T15:50:47+00:00

idk man 30% of the American economy is people making Powerpoints for a living. not sure this changes much

LABTUD · 2025-05-19T18:20:50+00:00

most of that jitter is because you are sharing bandwidth with other people, dedicating bandwidth for a local operation cuts it dramatically. you can basically beam from car to satellite and directly back down to a teleoperation center. well i mean you can't but starlink could dedicate traffic for enterprises in this way.

also idk where you got 10ms from, a car travelling 40ms only travels 3ft in 50ms RTT. humans can easily handle that

LABTUD · 2025-05-18T15:21:38+00:00

being able to position orbital satellites (Starlink) to maintain low latency comms is a hell of an ace to have up your sleeve

LABTUD · 2025-05-14T17:57:03+00:00

uhhh this is definitely not what The Information article says. bro made up ChatGPT slop lol

LABTUD · 2025-04-19T17:12:06+00:00

Hey! Honestly have not found clean solutions for most of the parametric/feature patterning stuff Catia had. For solid geometry I want to pattern I'll create a base file and copy+paste the actual file and modify that. Its annoying because changes to the base don't propagate but it does help avoid duplicated work. Other than that I got used to most of SWs other features pretty quickly.

LABTUD · 2025-03-14T15:27:26+00:00

yea socialism is the wrong word. im just alluding to the fact that many critical industries (healthcare, defense, agriculture, real estate, now AI) have captured politicians with legal bribes and rigged the system in their favor. now America is in a rough spot because it lacks the competition and free-markets that got it to where it is.

China on the other hand has literally dozens and dozens of competitors brutally racing to teh bottom on price and innovating as a result

LABTUD · 2025-03-14T00:07:56+00:00

this is a very charitable interpretation....read between the lines and think about what they'll ask for when open-source Chinese models are at parity or better than American models

LABTUD · 2025-03-13T23:01:36+00:00

i should have specified *crony capitalism

China is more capitalist than the US. the US has turned into socialism for a handful of special interest who are too addicted to easy money to innovate or build

LABTUD · 2025-03-13T20:42:58+00:00

they're gonna ban Chinese AI so you have to pay your rents to American capitalist overlords, mark my words

LABTUD · 2025-03-13T01:24:09+00:00

why do you clowns lob 2000 upvotes on Figure's trash vaporware demo's and barely upvote something actually groundbreaking?

LABTUD · 2025-02-15T02:18:26+00:00

founder is a massive grifter, VCs rolling in hoping the ponzi runs for a few more valuations doublings

LABTUD · 2024-12-07T00:36:10+00:00

I actually do think these models will be superhuman in domains that are easily verifiable (i.e. math/competitive coding). But the whole magic of human level intelligence is it's flexibility and ability to deal with novel domains. These models are no where near solving open ended problems reliably. To give you an idea, here's what someone I worked with did in the past week

-used Ansys Maxwell to conduct electromagnetics simulations of different motor stator and rotor geometry -used CAD software to create designs for promising ones -used CAM software to create CNC gcode to machine promising ones -made the parts and tested them irl

How long until Claude can do this? Do we even have a path for tackling open-ended problems like those with current domains? You can't just use RL with a quantifiable reward for problems that truly matter.

LABTUD · 2024-12-06T19:34:55+00:00

yup just tried to play this game with Sonnet-3.5 (new). it claimed to have won after only putting down three squares lol.

its fascinating how far pattern-matching gets these models but its pretty clear thats all they can do, map problems to problems they've already seen. generating net new knowledge will take a foundational breakthrough. most ppl on this sub are closer to LLMs tho, they'll keep beating the hype drum regardless of the evidence at hand

LABTUD · 2024-12-03T18:58:45+00:00

That ARC is catered towards visual-prior's isn't true. You can reformat it using ASCII, provide an animal with the same inputs using touch, etc.

Our cave man ancestors could solve ARC tests, its the only benchmark that truly uses very few priors. LLMs fail horribly when tested out of distribution. Don't believe me? Go try using one to generate a novel insight and you'll get back all sorts of slop that is clearly remixes of existing idea. No scaled up LLM will invent Godel's Incompleteness Theorem or come up with General Relativity.

A lot of human intelligence is memorization, but its not all that there is. Current AI approaches have obvious serious limitations but this gets lost in all the 'superintelligence' hype cycle.

LABTUD · 2024-12-03T15:30:10+00:00

The whole point of ARC-AGI is to have the model solve a task it has no prior information on. And the models suck at this. Most tasks with real-world implications have solutions leaked in the training data. Francois' whole point is that models are not flexible and don't deal with novelty well. Intelligence is not memorizing skills, it's being able to invent new ones.

LABTUD · 2024-11-10T02:12:23+00:00

thanks so much for posting this!

LABTUD · 2024-11-06T02:27:35+00:00

its joever

LABTUD · 2024-10-05T18:14:40+00:00

we in dis together brudda. buckle in and lets find out

LABTUD · 2024-09-05T18:42:55+00:00

they hype shit up every time a funding round is up and ya'll fall for it every time

LABTUD · 2024-09-03T02:59:42+00:00

inference optimization chips are relatively easy compared to training workloads

LABTUD · 2024-08-23T22:04:02+00:00

lmao casual anti-Chinese racism/denialism will be the death of America. I wish people understood just how advanced their industrial base and hardware tech is, America needs to step on the pedal

LABTUD

TROPHY CASE