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abhorrence

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I think your points 1 and 2 are exactly spot on. And, assuming that both Rebble's and Eric's are being relatively forthright, that Eric is the one that is actually trying to come to an agreement that accomplishes that. Whereas Rebble is taking the position of "only we can be trusted".

And with all the people replying to the original Rebble post with "I'm canceling my preorder", I'm pretty worried that Rebble has created a self-fulfilling prophecy situation. :(

I'm torn here. I love that Rebble folks have kept things alive. I also love that Eric underwent the effort to make new hardware.

I'm also a bit sad that this is the first we're hearing of this tension, because it likely would've changed my decision to purchase a new Core 2 Duo watch, and I would've preferred this sort of falling out happen before a lot of devices have been purchased.

As someone who owns both a couple Vorons and a couple of Bambu's printers, I do think for a lot of people the difference between the two can be "3d printers are my hobby" vs "3d printers are a tool". It's not that Vorons can't be reliable, in fact a lot of the reason why say the X1C is so reliable is because its design essentially started life as a Voron. But because you have to assemble them, they just aren't as "plug and play".

My complete _guess_ (in which I make a bunch of assumptions!) is that generally it seems like the Ruby team has been more willing to make small breaking changes, whereas it seems a lot like the Python folks have become timid in those regards after the decade of transition from 2 -> 3.

I once had a PM who loved the Pareto principle a little too much, and would constantly push us to "apply it" even after we already had. I got frustrated by this and drew the graph that goes along with your sentence, showing that miraculously about 99% of the work can be done with 60% of the effort!

My PM did not take the correct lesson away from the encounter.

As a result, once o1 becomes generally available, we will likely notice the persistent hallucinations and faulty reasoning, especially when the problem is sufficiently new or complex, beyond the “reasoning programs” or “reasoning patterns” the model learned during the reinforcement learning phase.

I had been using 4o as a rubber ducky for some projects recently. Since I appeared to have access to o1-preview, I decided to go back and redo some of those conversations with o1-preview.

I think your comment is spot on. It's definitely an advancement, but still makes some pretty clear mistakes and does some fairly faulty reasoning. It especially seems to have a hard time with causal ordering, and reasoning about dependencies in a distributed system. Frequently it gets the relationships backwards, leading to hilarious code examples.

Falcon 2 2 years ago

So no matter what you think of their current AUP they reserve the right to update it to anything they like in the future, and you'll have to abide by the new one!

I'm so curious if this would actually hold up in court. Does anyone know if there's any case law / precedence around this?

I've experienced something similar, but the chair's discharge was interfering with a PCI riser, tripping just over some threshold that would cause the OS kernel to panic and shutdown. It felt so incredibly unbelievable when we first noticed the correlation that we called tons of people over to watch us demonstrate it just to see if there was something else we were missing.

The only thing I can imagine here is that many of the games have "dle" or "le" suffixes and sometimes even describe themselves as "Wordle, but...". It seems more likely that it's NYT's lawyers hoping to bully the "competition".

The way most of these companies are colluding now is by using third party firms that "aggregate industry salary information". So basically company X provides their data, pays some dollars, and get access to what other companies in their "peer set" are paying for different types of levels/experience. Reminds me a lot of the schemes companies will sometimes use to do bribes in other countries -- paying a third party consultancy who they had "no possible way of knowing that they were actually just bribing people".

The article isn’t saying that he didn’t know it was red, but rather that he wasn’t actively thinking about trying to match the color. Obviously there’s a question of conscious vs subconscious thought, but the claim is at least that he chose red/brown because it would represent grayscale well.

Recently there have been Waymo vehicles out on the streets in the Seattle area. I even saw one driving around the day it was snowing here.

I suspect we’ll start seeing more training and testing in places with less nice weather as time goes on.