Opioid manufactures also manufacture other drugs, like pharmaceutical grade cocaine. That's the only connection I can see - I don't think the cocaine molecule is similar enough to opioids for it so be a useful precursor.
Ajen
This doesn't answer OP's question, but since other people might be interested, MIT also has free graduate level courses. If you choose to pay for a certificate of completion for the courses then they can also count as credits towards a degree at MIT, Harvard, etc.
That seems like a much lower salary than they would get running a for-profit tech company, though. Moving out of SF would also make it harder to hire people with a lot of experience in tech.
I'm happy to question my own biases, but only when the other party is willing to act in good faith. You clearly aren't. I checked, and none of your other posts in this thread cite sources that disprove what I've said.
Oops, I didn't realize I was posting on ML. That's my bad, I should have expected this bias.
For the record, I don't see any evidence or sources in your responses to me.
Have nice day.
I understand the subject well enough to know you can't back up your claims with evidence. You clearly have an agenda here...
"It's possible, you just have to train your own model."
Which is almost as much work as you would have to do if you were to start from scratch.
That doesn't mean it's straightforward, or even possible, to entirely remove the censorship that's baked into the model.
You're right, that's my bad. Looks like there's an unofficial port that you can use on custom hardware, but nothing from valve yet.
Your slicer should have generic profiles for each material which should give acceptable results with most brands. Density and flow tend to by the same across brands for any given material, unless it's a "rapid/high flow" or foaming filament, in which case the manufacturer prints the recommended settings on the spool. Basically if it's not printed on the spool you can use just the defaults in your slicer.
You can download steamOS and put it on any hardware you want (assuming it's supported by Linux)... I wouldn't hold your breath for an upgradable machine in that form factor, but if you can live with something a little bigger you could build a minipc with steamOS.
The weights aren't the source, they're the output. Modifying the weights is analogous to editing a compiled binary, and the training dataset is analogous to source code.