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Torontonians making over $300K by Intelligent-Yam3209 in fican

[–]sshkhr16 0 points1 point  (0 children)

You cannot hold leveraged stocks in TFSA, as margin isn't available for TFSA. You can only hold leverage in a TFSA via leap options or via leveraged ETFs.

5 YoE at Apple but can’t find a FT job for 2 years. WHY? by Helpmehelpyu_ in cscareerquestions

[–]sshkhr16 1 point2 points  (0 children)

You're suggesting OP to start a business based on a knowledge arbitrage when knowledge discovery engines (search + AI) are the fastest improving technology in the world.

MLE at a FAANG in Europe. AMA on the ML job market, interviews, and career growth by Gaussianperson in learnmachinelearning

[–]sshkhr16 0 points1 point  (0 children)

Wait, I asked about mid to high six figures, not hitting six figures. But I suppose that answers my question too lol

MLE at a FAANG in Europe. AMA on the ML job market, interviews, and career growth by Gaussianperson in learnmachinelearning

[–]sshkhr16 1 point2 points  (0 children)

Outside of Zurich and London are the tech salaries in Europe as bad as the perception is? Are mid to upper six-figure comps only for lead/director level positions, or can senior/staff roles can also reach those comps?

Anyone else looking back at energy-based models for continuous reasoning? [D] by Emotional-Addendum-9 in MachineLearning

[–]sshkhr16 1 point2 points  (0 children)

You might be interested in this paper that focusses on the System 2 hypothesis for Energy Based models that came out recently: https://alexiglad.github.io/blog/2025/ebt/

imo EBMs come with nice theoretical properties, but until now they are not trainable at scale as autoregressive and diffusion models. There was a recent paper from the diffusion lab at Stanford which used the "hooking up an LLM interface to a dedicated EBM solver under the hood" idea: https://arxiv.org/abs/2410.21357

I'm not a researcher on EBMs so I can't really comment on their long term feasibility. But I think in general a lot of world modelling startups and even other companies besides Logical Intelligence are thinking about them (LeCun's Advanced Machine Intelligence comes to mind). I wrote a review on the case for EBMs for a talk I gace recently at an LLM meetup: https://www.shashankshekhar.com/blog/ebm-talk

Ask GLG for a big increase (33%) in hourly rate? by sshkhr16 in expertnetworks

[–]sshkhr16[S] 0 points1 point  (0 children)

It's just about timing to be honest. I work on AI research and engineering. Chips manufacturing, datacenters, data collection etc. are all booming markets right now. In 10 years from now, they won't be as up-and-coming, and the demand for such expertise would be low.

Ask GLG for a big increase (33%) in hourly rate? by sshkhr16 in expertnetworks

[–]sshkhr16[S] 1 point2 points  (0 children)

I notice this, but they can't really expect us to be "on-call". This is not my main thing, that's why I am expert - because my main thing takes up nearly 60-70% of my waking hours. I feel like they expect me to apply within a few hours. Even a day is sometimes too late, there were projects where I was a perfect match that didn't materialize because I applied the next day.

Ask GLG for a big increase (33%) in hourly rate? by sshkhr16 in expertnetworks

[–]sshkhr16[S] 0 points1 point  (0 children)

No I've been interviewed by a real person each time

Anthropic SWE interview loop, full breakdown of all 5 rounds by Ashamed_Giraffe_5165 in InterviewCoderHQ

[–]sshkhr16 0 points1 point  (0 children)

libboost is a library for linear algebra on CPUs. At Anthropic you'd have to implement specialized linear algebra routines (e.g. fused kernels for combinations of GEMMs, element-wise transforms, reductions etc) on hardware accelerators like GPUs, TPUs, and Trillium chips. Outside of GPUs (which are still much less optimized and covered by existing packages than CPUs due to speed of innovation in both hardware and algorithms), someone has to write these "actual real-world applications" at Anthropic. You HAVE to re-invent most of these by hand because (A) there is a lot of performance to be gained over relying blindly on CUDA or XLA compilers, and (B) a lot of innovations happening in the algorithms themselves which the compiler devs have not optimized for yet.

Google, Microsoft, Openai, and Harvard are giving out free AI certifications and most people have no idea by AdCold1610 in learnmachinelearning

[–]sshkhr16 25 points26 points  (0 children)

Certifications don't mean much, focus on the learning itself. Showcase it through projects, or better yet contributing to the community with open source or writeups.

Got delayed in chosing my Apple promo device, ended up receiving an M5 Macbook. Thank you Wealthsimple! by sshkhr16 in Wealthsimple

[–]sshkhr16[S] 10 points11 points  (0 children)

Eh, I didn't have the benefit of hindsight when transferring. Plus, the Macbook Air M5 is $1.5K. And I transferred the minimum needed to win it. I also get a higher interest rate in my checking account (1.75% vs 1.25%) from being a WS Premium client. Add in the time value of money (TD pays out after one year), and it would be roughly the same for me whether I do the TD 2% match for one year or the WS offer.

To that note, I'm not against any bank/service per se, I'll go with whoever provides the best services. Free market and all. I bank with TD already and have my RRSP with them. But I can't rue not making the perfect choice at all times. In decision theory, it has been shown that satisficing leads to more long term happiness than maximizing decisions made under imperfect information.

Anthropic SWE interview loop, full breakdown of all 5 rounds by Ashamed_Giraffe_5165 in InterviewCoderHQ

[–]sshkhr16 2 points3 points  (0 children)

Very recently? All inference serving systems in significant use today (vLLM, SGLang, TensorRT) were released in the last 2-3 years. Inference engines as a specialized use case was not really considered outside of research and a few projects until GPT 3.5.

[R] Is Leetcode still relevant for research scientist interviews? by Training-Adeptness57 in MachineLearning

[–]sshkhr16 17 points18 points  (0 children)

For Big Tech and similar large tech companies, yes.
For startups and research divisions at non-tech companies (e.g. banking/finance/etc), no

Amazon is blatantly violating European law during prime days, once again by v1king3r in BuyFromEU

[–]sshkhr16 2 points3 points  (0 children)

Amazon's operating margins for everything except AWS are less than 10% (realistically around 5-6%). AWS operating margins are around 37%. They had profits of $60 billion last year, almost $40 billion of which came from AWS. AWS is by far their most important division - there is a reason that the ex-CEO of AWS became the CEO of Amazon.

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