fnbr

11 ms·

61.
by fnbr 4y ago
Yes, 1000%. Especially when it comes to AI. Meta has an excellent team of ML engineers, many of whom are in exceptionally high demand right now. If I were a ML engineer at Facebook, _especially_ if I was working remotely, I'd be sendin
62.
by fnbr 4y ago
It was very impressive for an org the size of Microsoft to pivot as quickly as they did.
63.
by fnbr 4y ago
Salary was still 2x FAANG comp (and roughly equal to my FAANG TC). So I’m fine taking the equity bet under those circumstances. I agree with you though. One company valued their equity at 3x (!!) what it was worth in October.
64.
by fnbr 4y ago
A mix of startups, smallish research labs (that is, smaller than Google Brain/FAIR/DeepMind), small, profitable AI companies. I focused on smaller companies as that’s what I wanted. Bunch of larger companies were hiring though.
65.
by fnbr 4y ago
Yeah, you should be familiar with the state of the art in your field. You don’t need to be as strong with theory though as Research Scientists.
66.
by fnbr 4y ago
Yeah, it was dumb. One company gave me an offer to lead engineering for their LLM team and another wouldn’t even interview me because I didn’t have any LLM experience. Clearly one of them was wrong.
67.
by fnbr 4y ago
4 year BSc + 1 year MSc. Experience matters much more than having a PhD. Lots of people without phds at the big ai research labs as engineers. I’d say it’s uncommon for engineers to have phds (although almost all have masters).
68.
by fnbr 4y ago
I was an L5, so significantly below $500k.
69.
by fnbr 4y ago
I work as an AI research engineer, so I’m having a totally different experience than the others I’m seeing here. Job market is very very strong for senior AI roles. Multiple offers that were >2x what I was making at a BigTech research la
70.
by fnbr 4y ago
parameter tuning is pretty necessary, according to anecdotes. People on twitter have got good results by changing the default parameters.
71.
by fnbr 4y ago
What did Uber do?
72.
Musings on Typicality(sander.ai)
2 points by fnbr 4y ago|0 comments
73.
Large language models aren't trained enough(finbarr.ca)
3 points by fnbr 4y ago|0 comments
74.
Yes, you should understand backprop(karpathy.medium.com)
3 points by fnbr 4y ago|0 comments
75.
Are We in an AI Overhang?(lesswrong.com)
1 points by fnbr 4y ago|3 comments
76.
by fnbr 4y ago
The betting strategy martingale is an example of a mathematical martingale.
77.
by fnbr 4y ago
Not in my office. No one met that description.
78.
by fnbr 4y ago
They shut my office down in Canada. Lots of jobs. Most are remote for US companies though. Very few recruiters spamming me, but companies are very receptive to inbound inquiries from me. I’m a senior eng in AI research though, which is obv
79.
by fnbr 4y ago
Yeah. DeepMind has released various MCTS implementations (eg in OpenSpiel). Not the same as releasing AlphaZero.
80.
by fnbr 4y ago
What specific hardware acceleration is possible? I think TPUs are already as good as you can get for accelerating large MLPs (half of what a LLM is). Is there that much overhead for the attention blocks?
81.
by fnbr 4y ago
This is very expensive to run. I bet they’re not going to have particularly high margins with this. Each response probably costs them several cents.
82.
by fnbr 4y ago
Presumably he did a really good job running OpenAI- it’s not like it was pre-destined to become the company it is today.
83.
by fnbr 4y ago
If you can stitch something together though, you can start to get the data you need to train an end-to-end model. And once you get that at any reasonable level of proficiency, you should see the ML flywheel spinning. The hard part is stitch
84.
by fnbr 4y ago
Were you able to install it with your existing furnace or did you have to replace the furnace?
85.
by fnbr 4y ago
> Unlike Lebanon, though, one cannot legally operate their solar panels to power a home while the electric grid is down in Israel. That’s fascinating! Can you say more?
86.
by fnbr 4y ago
How are you tuning it to make sure it doesn’t hallucinate? I think that’s a fundamental property of neural networks (see, for instance, the adversarial examples literature, or the recent work demonstrating adversarial exploits in AlphaZero
87.
by fnbr 4y ago
this is why I don’t think google is threatened by LLMs. 1) this doesn’t do links, and 2) it has accuracy issues. I don’t understand the hysteria about how google will be replaced by ChatGPT.
88.
by fnbr 4y ago
Normal retail price. They were probably hoping to wholesale it for 42 per case, which is what they’re selling it for now.
89.
by fnbr 4y ago
Contact Meta, they might still want to hire you.
90.
by fnbr 4y ago
I like your edited version!

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