I’m a cofounder of a startup in the US. Two of us are here on green cards, but our third cofounder is based in Switzerland. He has a PhD from a top university, previously founded a company, and has raised over $30M in the past.
At what stage would it be possible for us to bring him to the US on a visa? Would it be:
- As soon as we incorporate a C Corp?
- After raising funding?
- Once we have revenue?
Are there any specific visa pathways (O-1, L-1, E-2, etc.) that would be most relevant for him, given his background?
To me less boring. I used to struggle to understand new concepts as they were presented. That year though, I was able to follow what the teacher was saying "live", ask interesting questions to deepen my knowledge.
I went to the most prestigious high school in France. The top 2 students in my maths class shared one thing in common: they would study the curriculum the summer before.
I did it one summer, and while I was nowhere near as good as them - something magical happened: even though I hadn't understood all the concepts, my ability to understand the concepts during the class went way up. It was easier to follow what the teacher was saying since no concept was totally new to my mind.
I work in Big Tech. Whenever we open positions both in the Bay and in NYC, we are flooded with applications to NYC with a lot less in the Bay. A good chunk of these come from people in the Bay wanting to move out.
I've been in the Bay for a few years now. I've noticed that a lot of people I talk to don't really like it here. They like their job and the paycheck but they would move out in a heartbeat if they could. As opposed to all the folks I know who live in NYC, most of them really enjoy it.
I wonder if that has something to do with it ["it" being the article]
This might be an unfair statement but it really feels like all of these blogs don't know why. They copy/paste each other (you often seem the same errors in multiple notebooks/blogs) and I have a feeling no one really deeply understands what they're doing.
I would argue that a core benefit of using Substack, beyond the easiness to write, publish, send emails, is trust for payments. I would be more reluctant at putting my credit card info in a random self hosted blog vs an established company's like Substack.
As someone who has worked at big social media companies, I can say the conventional wisdom about content moderation being a carefully planned process is off-base.
The reality is that moderation relies heavily on imperfect machine learning models and overworked human reviewers making rushed judgments on hundreds of cases per day. There's no meticulous strategy document mapping out the pros and cons before banning accounts that upset the company.
Mistakes inevitably happen when relying on this combination of flawed automation and human reviewers who are stretched too thin. The moderation policies may seem arbitrary or politically motivated from the outside, but much of it comes down to hasty human error and buggy algorithms rather than some malicious scheme.
I can't seem to find a link to the git or documentation. I'm very curious how this is achieved? Is a model fine tuned? If so how? I'd be most interested in seeing how they formatted the input data if fine tune was done.
> " with zero ability to think through long-term consequences"
The median tenure in tech is one to two years before moving on to another team or company [1]. You need to say that what you care about is long term, but that's now how we're compensated (read: incentivised). Plus you're not there to see it anyways so there are really very little incentives to think long term.
[1] some googling but couldn't find a great source for this. Though it matches what I've observed in the industry.