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Comment Re:Neglected to remove alert (Score 1) 145

Even without Flock, had a cop spotted the car, they would have reacted. And probably in the same way.

Right, this is an indictment of policing in America, not Flock.

But since you clearly cannot trust the police, you double cannot trust them with access to Flock.

You cannot keep the police from getting access to Flock, therefore the only reasonable thing to do to Flock is destroy it.

Yes, this is only* because the police are corrupt, but since they are...

* Yeah, and some other people too, this hyperbole is for the purpose of the discussion in scope

Comment Re:Betting is not like stocks (Score 1) 53

if the game is rigged

If?

20-something poor students

20-something poor students are literally bathed in rigging the instant they experience initial contact with post-secondary education in the US. They know, with metaphysical certitude, that rigging runs their world, and whatever goes on a polymarket is but the least of it. Only the clinically naïve somehow miss this.

Comment "Ghastly" (Score 1) 53

That's where I stopped. NPR wine women language. These people have no problem with all manner of "ghastly" things going on, as long as it serves their virtues. I'm inclined to chalk this up to yet another moral panic among the privileged, and few others. When you look closely at the entire opioid conspiracy that went on in this country, you find an endless supply of NPR listening pant suited professional babushkas managing the clinics, pencil whipping the audits, and indulging their limitless altruism while safely ensconced in their gated suburban mcmansions.

Fuck these people and their latest crisis. Nothing going on at polymarket is a patch to the harm they do.

Comment Re:Why? (Score 1) 28

We don't know the exact answer yet, but IMO, you're two-halves right.

The key difference is, humans aren't "trained" primarily via a clean library of tagged data (which in itself is a learned skill). We experience the world as a more-or-less continual stream of noisy data from our several senses. We self-train how to interpret (and primarily, filter) sensory data; and more importantly, how to derive new training data from it.

To be clear, I'm not saying we have so many neurons to support input filtering (though that's admittedly at least partially true). I'm saying we virtually can't run out of new training data. Every second we're alive, it just keeps coming in.

Comment Why? (Score 4, Interesting) 28

Current top models are already undertrained by multiple orders of magnitude vs their number of parameters. Not for lack of will or money, but for lack of data - We're already training top models with effectively the entire digitally-available corpus of human knowledge and need about a thousand times more.

That said, the huge Chinese models we've seen lately aren't single models, they're MOEs - Effectively a hive-mind of many smaller models working in concert. Bytedance hasn't mentioned that detail yet but it would somewhat mitigate the training issue. This is still absurdly over-spec'd though. There's simply no way to train it any more than all the rest starving for data.

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