iamnafets

5 ms·

1.
by iamnafets 6mo ago
No credential will be sufficient, this is basically an unsolvable enforcement problem. That doesn't obviate the utility of rules and norms, but there's no airtight system which will hold back AI generated content.
2.
by iamnafets 7mo ago
The warm container host is shared by multiple people. It basically runs docker with a small UI and a daemon which spins up new hosts, recycles them, and warms them when code changes happen. Ideally when I open a new workspace, it opens in t
3.
by iamnafets 7mo ago
Can’t wait for better SSH support. We have a warm container host that spawns a fresh container so we get nice sandboxing and isolation, but the UX has left us with basically the same challenges you solved here for one box.
4.
by iamnafets 3y ago
One of the authors (Stefan) here. We created System Design in a Hurry after conducting hundreds of mock interviews and pinpointing areas where candidates tended to falter which could be fixed with some study. Happy to answer questions!
5.
System Design in a Hurry: Crucial concepts for system design interviews(hellointerview.com)
2 points by iamnafets 3y ago|2 comments
6.
by iamnafets 3y ago
Should add liquidation preferences and allow sales below the last priced round. Seem to be more common these days!
7.
by iamnafets 3y ago
Someone needs to add common LLM injections to the list.
8.
by iamnafets 3y ago
Agreed. Scrum, in most cases, robs engineers of the agency they need to deliver maximum value. My teams did better work without it under the condition that the talent was motivated, technically proficient, and had the right incentives.
9.
by iamnafets 3y ago
The obvious needle thread here is to not "make" engineers do anything, but hold them accountable to the results the business needs to see. The best teams are composed of empowered, accountable engineers who have the flexibility to
10.
by iamnafets 3y ago
Sounds like the problem is engineers aren't accountable for quality. Rather than prescribing a solution, these leaders should make sure incentives are correct in their organization.
11.
by iamnafets 3y ago
Doesn't this line of argumentation undermine OpenAI's TOS which disallow training models on their output?
12.
by iamnafets 3y ago
They are a YC company.
13.
by iamnafets 3y ago
Still a major work in progress, feel free to send us any feedback stefan@hellointerview.com . Lots of work happening now.
14.
by iamnafets 3y ago
https://www.hellointerview.com
15.
by iamnafets 3y ago
This gave me PTSD from working in T&S. Impressive level of detail, nice work creating it!
16.
by iamnafets 3y ago
Definitely. Much of it _isn't_. But the parent comment was referring to the waste of the process, which is necessarily the part that isn't directly useful in the job.
17.
by iamnafets 3y ago
Similar in magnitude to the lost productivity of people optimizing for appearances rather than results at work. All prep is basically an arbitrage between the hard work of actually becoming better and the often easier work of preparation. T
18.
by iamnafets 3y ago
You can test this. Stratify users into groups with varying ad load and watch retention metrics. There's a bunch of 2nd-order effects that are hard to control, but you don't get to be a business doing billions in revenue without fi
19.
by iamnafets 3y ago
Absolutely not. SAFE investments have liquidation preferences - the investors will get what's the left of the money back.
20.
by iamnafets 4y ago
I think the problem is that the tradeoffs already exist. Most users would prefer more usable space or less money to a full history of their data. You might be making the argument that the usability of immutable data is not there yet, but
21.
by iamnafets 4y ago
I generally feel the same way, but just to steel man the argument: would your manual code review process have caught this issue? Sometimes we compare new things against their hypothetical ideal rather than the status quo. The latter is sign
22.
by iamnafets 7y ago
Facebook Dangerous Content ML | Seattle | Full-Time | On-Site ($300k+ depending on experience) I’m the hiring manager for Facebook’s Dangerous Content ML team and we have a unique opening in our group. We build cutting-edge machine learning
23.
by iamnafets 8y ago
For ML systems, it's an engineering mistake to deploy a complex model when you don't have a simpler baseline (e.g. does this outperform a basic n-gram model?). Similarly, it's a strategic mistake to deploy a deep learning mod
24.
by iamnafets 9y ago
This is mostly off-topic, but being able to identify or root out the value mismatches between people in a discussion (as you've done) seems like an essential ingredient to productive discussion. I've noticed that people who can do
25.
by iamnafets 9y ago
I've found Adele Cutler's presentation on random forests to be an outstanding resource for getting intuition of tree-based algorithms. http://www.math.usu.edu/adele/RandomForests/UofU2013.pdf Thinking ab
26.
by iamnafets 9y ago
I work in Forecasting for Amazon and I've often wondered the same thing. Almost any business with some (moderate) degree of uncertainty about the future could be "securitized". I think doing so in a way that preserves privacy
27.
by iamnafets 9y ago
Staffing up a team from 4 to 12. Same role, but different levels and responsibilities.
28.
by iamnafets 9y ago
Amazon New Product Demand Forecasting | Seattle | Full-Time | On-Site ($130-$250+ depending on experience) Amazon's New Product Demand Forecasting team is responsible for one of the most challenging problems in supply chain optimizatio
29.
by iamnafets 9y ago
At this time, yes. But if you're at a place where relocation is an option, Seattle is an awesome place to live!
30.
by iamnafets 9y ago
Amazon New Product Demand Forecasting | Seattle | Full-Time | On-Site ($130-$250+ depending on experience) Amazon's New Product Demand Forecasting team is responsible for one of the most challenging problems in supply chain optimizatio

More ›