Muehe
@Muehe@lemmy.ml
- Comment on President 360 No Scope... 5 hours ago:
IANAL, but there is the presidential power to pardon. So the president could in theory give an illegal order (as long as it is an official act they have immunity) and promise a presidential pardon once the order is fulfilled (therefore extending immunity to the perpetrator). Meaning the president can entirely circumvent the UCMJ.
- Comment on What do I need to trouble shoot second hand desktop computer? And how? 5 weeks ago:
Do the lights provide the same info as the beeps?
Yes, but whether you have lights or just beeps depends on your board. I think yours does not have the lights, just the speaker pins.
- Comment on What do I need to trouble shoot second hand desktop computer? And how? 5 weeks ago:
So the circle is where a little speaker should be attached:
Sometimes these come with the case, but in your case not apparently or the PC guy would have attached it. You can buy these pretty cheap (one or two bucks) and they look like this:
When you have one attached and start the PC the mainboard will run some tests, and if it detects a problem there will be a pattern of beeps coming out of the speaker. You can look up what this pattern means in the handbook somebody linked above.
- Comment on Yes 2 months ago:
Just highlighting the propaganda for those unfamiliar with it. Seemed à propos.
- Comment on Yes 2 months ago:
Agreed. And the (probably unintended) irony is that the Berlin Wall was ostensibly built in order to keep the capitalists out. Be careful what you wish for, especially when it’s a wall. They work both ways.
- Submitted 2 months ago to [deleted] | 2 comments
- Comment on Why is AI Pornifying Asian Women? 5 months ago:
“Inclusive models” would need to be larger.
[citation needed]
To my understanding the problem is that the models reproduce biases in the training material, not model size. Alignment is currently a manual process after the initial unsupervised learning phase, often done by click-workers (Reinforcement Learning from Human Feedback, RLHF), and aimed at coaxing the model towards more “politically correct” outputs; But ultimately at that time the damage is already done since the bias is encoded in the model weights and will resurface in the outputs just randomly or if you “jailbreak” enough.
In the context of the OP, if your training material has a high volume of sexualised depictions of Asian women the model will reproduce that in its outputs. Which is also the argument the article makes. So what you need for more inclusive models is essentially a de-biased training set designed with that specific purpose in mind.
I’m glad to be corrected here, especially if you have any sources to look at.