causal

36 ms·

871.
by causal 2y ago
(1) Is a problem for sure. Proprietary devs always overestimate the value of their code, and lack of open source scrutiny typically makes code quality worse. (2) Definitely. (3) VC culture can be an issue, though Facebook might not be the b
872.
by causal 2y ago
Building proprietary tech is what builds proprietary tech. Facebook developers also use the power grid, but that fact shouldn't divert rage towards solar panels. And there very much are open source software projects specifically design
873.
by causal 2y ago
That's making assumptions about how cosmic sim tech works.
874.
by causal 2y ago
"Open source software leads to proprietary Orwellian tech" is quite the take
875.
by causal 2y ago
Great idea, but curious what the market is for a service like this. Seems a little niche?
876.
by causal 2y ago
I also have strong feelings of frustration towards ROS but I have yet to see a viable alternating. Half the value of ROS is the community building robot specific packages on the ROS foundation. Any frustration with the system is certainly s
877.
by causal 2y ago
Making the corporate itself a felon is almost a joke. Zero chance this ends their defense contracts- they'll find a workaround. Assigning the felony to the corporation is just a sweet chance for the individuals responsible to offload r
878.
by causal 2y ago
I think a lot about the light-cone of information that spreads outward from every move I make. It seems that every action online, especially communications- results in a permanent footprint that ripples out forever, available to be studied
879.
by causal 2y ago
Social media is increasingly a battleground for bots. Real humans ironically become a voluntary force in this, as the bots only need to propagate an idea so far before people believe it enough to make it part of their identity. One idea is
880.
by causal 2y ago
I'm not sure I agree. Searching and summarizing are excellent uses of generative AI. It's very good at understanding meaning and intent- making it especially useful for detecting actors plotting against the state. That said, even
881.
by causal 2y ago
Supposedly much traffic is also being warehoused, including encrypted data, so that when decryption becomes easier it can all be read. Which means we might have to contend with a future where LLMs think about every email written, message se
882.
by causal 2y ago
Summarizing large bodies of text is one of the most proven applications of generative AI. Super useful if you're an analyst trawling through terabytes of private messages trying to find the ones who intend harm to the state. The troubl
883.
by causal 2y ago
As someone who works in embedded systems- I agree. Teams will deploy whole desktops to an embedded system if permitted to expand enough. Architectures will evolve to require hardware that can support the bloated stack. Even on power constra
884.
by causal 2y ago
Curious to learn more about how you did this. But I agree with your sentiment- we often surrender to the idea that ruthless evil has taken control without even trying to engage civically.
885.
by causal 2y ago
Good points. Part of my issue with these discussions is the poor vocabulary we have for consciousness. Your comment alone probably touches on several types of consciousness. The kind of consciousness we're experiencing undoubtedly vari
886.
by causal 2y ago
Can it tolerate someone having private property?
887.
by causal 2y ago
Trying to figure out if that really leaves any room for non-cooperation. It sounds a lot like "cooperation is voluntary but you will be dismantled if you don't"
888.
by causal 2y ago
I'm also wondering if the Andes are steeper than the Rocky mountains? Some quick Googling suggests that might be the case but I'm not getting a definitive answer. Gradual elevation is certainly easier to build roads across than a
889.
by causal 2y ago
If you haven't yet, pay for the upgrade to use Projects. I've uploaded entire codebases, then opened different conversations about that codebase, generating very useful artifacts. Also, Claude artifacts can display MermaidJS. You
890.
by causal 2y ago
This is a strawman argument: You've setup a scenario where cash isn't very beneficial, and then show why it's not beneficial. Before the Equal Credit Opportunity Act, women could only use cash. Sure it would have been way coo
891.
by causal 2y ago
Because it's not true. Maybe mid-1800s, but by mid-1900s women could totally use cash. Not credit cards though, 1974 is when women were allowed to get those. In other words, the exact opposite of what that comment is saying.
892.
by causal 2y ago
What? You've completely reversed the facts here. Women couldn't get credit cards until 1974- they could ONLY use cash before that. The 1974 Equal Credit Opportunity Act is what outlawed refusing credit to women, https:/&#x2F
893.
by causal 2y ago
Well said. Not to mention the absurd implication that the housing crisis would somehow be helped by neglecting this issue.
894.
by causal 2y ago
These are worst-case scenarios worth considering, but IMO an obvious one not being discussed enough: credit cards are great if you're wealthy, horrible if you're poor. Between fees, absurd penalties for missed payments, and horrib
895.
by causal 2y ago
You don't have to be dumb to get buried- just being poor is enough. Credit cards very much favor the well-off.
896.
by causal 2y ago
If you were prescribed heroin and proceeded to take it, you would end up addicted and unable to quit. Full stop. It is exceedingly rare to overcome opiates, you underestimate them greatly.
897.
by causal 2y ago
The whole basis of this suit is that a Purdue subsidiary went out of their way to market these pills as non-addicting. "Personal responsibility" in this case clearly lies on those actors, not the addicts.
898.
by causal 2y ago
Thanks for your work on this; excited to try it out! The Google API models support 1M+ tokens, but these are just 8K. Is there a fundamental architecture difference, training set, something else?
899.
by causal 2y ago
LLMs can be fed a conversation and understand the intent of its participants, even if no particular keywords are used. Before this, surveillance was limited by how many human agents you could have sifting through recorded data. Put another
900.
by causal 2y ago
And given the volume of data they likely sift through, I'd also expect them to want very small, high-throughput models for identifying targets for larger models to examine. On the flip side, LLMs must give the NSA a new challenge: a fl

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