serf

it's only the frontier models for 'Us' that refuse things, i'm not so delusional as to think it'd refuse work for 'Them', and 'Them' are often the ones backdoor-ing things.

speaking on the movie : Tank Girl doesn't portray a world that's great for the rich, either.

it's pretty shitty for anyone outside the singular theocratic military enclave that hordes all the water and decapitates scientists.

given that the subsidized plans from all companies are getting worse by the hour it's probably a smart thing to consider, at least.

>Continuous AI dependence of a large fraction of society is coming fast. It needs a name. Cyborgism? Umbilicals?

"Quick, everyone! There has been an event in the time line that causes derision between the masses, let's assign derogatory phrases to blindly label individuals on each side -- we'll call them slurs -- according to the corresponding biases before any kind of human oneness or organization can take place, otherwise we risk human relations improving!"

or, another route : every single step need not be 'us or them'.

... on another hand, 'gargoyle' is kind of cool.

my entire interest in the meta vr glasses is on-device eye tracking; I think that interface concept has been under-explored.

this is the sensation I get when I run nested VMs.

projected ideology doesn't really match reality, so not really.

detecting AI written code without a minder chained to your arm watching your every movement is still a topic of research...

...and as someone who has been to the last 10 miscellaneous FSF/GNU celebrations I can tell you that community has just as many license cheaters and scoundrels as the rest of the computing world, they just tend to bias towards the good stuff, similarly to how every microsoft employee isn't required to drink the blood of infants (it just looks good on quarterlies.)

this is more like .. survival harness, no?

>The app is the same everywhere. When it opens, it checks your computer's memory and downloads the AI model that fits. More memory means a smarter model.

first thing an emergency tool should require, internet access.

at first glance I figured it'd be an ultra small specialty trained survival model that'd be small and runnable anywhere, sorta like an emergency flavored version of those tiny tts models that have been all over recently.

Maybe that's an idea for someone.

asbestos on military/science stuff is/was used longer after it left the home.

I agree with you insofar that the primary motivator for these press releases is public relations and investor confidence, so it should be made as minimally hard to understand as possible just by sheer virtue that it exposes oAI to more cash thrown at them.

I totally disagree with you on the precept that all difficult to understand things need be needlessly dumbed-down/watered-down until palatable for a mass (average) audience. Requiring 'math50' before 'trig101' isn't gate-keeping in any moral sense, it's an effort to save everyones' time involved when the effort is futile.

Similarly I don't demand that haute couture fashion companies explain the style to me until 'I get it' ; I just take it for granted that i'm not going to be able to understand the entirety of the world in one lifetime.

which is even more damning because tesla stock was like 20-25 bucks a pop around when they started those pre-orders and now its 300+

tesla will screw everyone involved, but they shouldn't. those excited early birds were the primary advertising campaigners.

I find it totally unsurprising and uninteresting that the tool makers themselves are the first to adopt the new tool they made.

this is literally the textbook historical process across every industry ever.

other industries by and large have been able to figure out how to separate novice practitioners away from actual public utility until they're ready to participate.

I don't claim to know whether that could be done feasibly for medicine, I only point out that medicine is uncommon in how it educates.

"ThinkingCap PRO: want even better efficiency? The PRO version of this model uses up to 87.6% fewer thinking tokens, 62% on average. Faster answers and lower inference costs at scale. Contact us at [email protected]."

lol what's old is new again, software selling performance options like it's the beginning of the multi-core days again.