4,311 karma · joined November 16, 2018
https://kevinventullo.com/
https://www.linkedin.com/in/kevinventullo/
I attended college in the late 00’s, and I don’t think I took a single digital exam. Quizzes, sure, but for final exams even CS was pencil and paper (or a final project, which admittedly will have issues in the post-LLM era).
Valheim, Grounded, Ark, Satisfactory are a few among many others.
From https://scottaaronson.blog/ :
“If you take nothing else from this blog: quantum computers won't solve hard problems instantly by just trying all solutions in parallel.”
On Windows I’ve been using PDF-XChange for a decade or so now, but curious if better alternatives have cropped up.
I imagine it would depend on whether DINOv3 captures the information of whether a given person is in the image, which I think is really a question about training data. So naively, I would guess the answer is yes for celebrities and no for non-celebrities. Partially for data/technical reasons, but also maybe due to the murkier legal expectation of privacy for famous people.
For example (and this might be oversimplifying a bit, computer vision people please correct me if I’m wrong) if you’re interested in knowing whether or not the image contains a cat, then maybe there is some hyperplane P in H for which images on one side of P do not contain a cat, and images on the other side do contain a cat. And so solving for “Does this image contain a cat?”becomes a much easier problem, all you have to do is figure out what P is. Once you do that, you can pass your image into DINO, dot product with the equation for P, and check whether the answer is negative or positive. The point is that finding P is much easier than training your own computer vision model from scratch.
Of course, it would be better for the LLM to pick up the context automatically, but given what some sibling comments have noted about the PR risks associated with that, you might be waiting a while.
From my POV, if you don’t have any strong signals about why you were rejected, I would just move on rather than trying to infer the reason.
“Area man who had poor judgement ten years ago now has both poor judgement and access to chatbots”
I think you might be underestimating how many non-technical people are using LLM’s daily.
As a founder, I think there’s a similar incentive to work all day every day, not just because of the potential payoff, but also because you love it and it is your life. It is unrealistic to expect the same intrinsic passion from employee #30, much less employee #300. They don’t have the ownership, both financially and spiritually. It’s not their baby.
The best model I’ve seen is to just have some tables marked as “no laptop”.