Readit NewsZero. Equity is a bonus in case things work out. But for the purpose of deciding on offers - zero.
Obviously it’s a crapshoot and should never be seen as a guarantee, I think treating it as zero is bit too far on the opposite extreme.
Comparator is a simple, free, open-source tool to help you cut through the complexity of startup compensation. Quickly see what your equity might actually be worth, factor in dilution, and easily compare your offers side by side. It’s completely free, no signups, your data never leaves the browser.
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They could have become a $1bn business if they had "revolutionized talent management" (or something like that). Not saying it was a good investment, or one I would have made, but I'm guessing they pitched a larger vision than simply a buttload of cameos from washed-up/reality TV stars.
TBF it is titled as mediocre!
My writing isn’t a strength of mine, so I appreciate the criticism. My writing going from “bad” -> “is it AI?” is progress.
I struggled with where to “cutoff” the explanation and public key cryptography seemed like a good boundary and better explained elsewhere, as did various OSI layers.
I probably should have gone over the cert and potentially the full chain of trust, I’ll give you that.
Bias in the model can lead to bad outcomes in certain situations (hint: we have an election coming up)
Yes this is innocuous, but it does hint at the possibility of more damaging bias being a possibility.
I thought this guy was supposed to know what he's talking about? There was a paper that shows LLMs cannot generalise[0]. Anybody who's used ChatGPT can see there's imperfections.
This just proves that the LLMs available to them, with the training and augmentation methods they employed, aren't able to generalize. This doesn't prove that it is impossible for future LLMs or novel training and augmentation techniques will be unable to generalize.
If you want to play around with OpenJourney (or any other fine-tuned StableDiffusion model). I made my own UI with a free tier at https://happyaccidents.ai/.
It supports all open-sourced fine-tuned models & loras and I recently added ControlNet.
Seems far more likely that startup equity will be worth zero to typical individual contributor employees, not millions
I guess I didn’t think “routinely” implied a specific percentage, just that it isn’t uncommon for options to be worth a lot.
If even 5–10% of VC startups succeed, then it’s still worth considering the expected value of the equity when comparing job offers.