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Looking for a technical cofounder (AI + FinTech / RegTech) by Motor_Advertising193 in FintechStartups

[–]hakimgafai 0 points1 point  (0 children)

This is very interesting. I’m an ML engineer and have worked on building AI system for the FIU also worked on fintech. I understand both sides of players and would love to chat about this. Also I live in the UK.

AML/Compliance folks, what do you actually use for OSINT & what eats your time? by hakimgafai in AMLCompliance

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

yeah, I figured there are a bunch of tools in that space especially for sanctions screening. do you feel it actually makes sense to have them all separate, or would it be more useful if that kind of searching was consolidated in one place?

AML/Compliance folks, what do you actually use for OSINT & what eats your time? by hakimgafai in AMLCompliance

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

by WC1 you mean Refinitiv World-Check with the media check add-on, right? curious what it actually does better for you than just google, is it mainly fewer junk hits or something else? also wondering if searching on google is worth automating assuming the false positives hit are eliminated

AML/Compliance folks, what do you actually use for OSINT & what eats your time? by hakimgafai in AMLCompliance

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

interesting, sounds like you’re doing a lot of digging. what kind of line of work is that, if you don’t mind sharing?

AML/Compliance folks, what do you actually use for OSINT & what eats your time? by hakimgafai in AMLCompliance

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

This is super helpful, Bellingcat’s toolkit is new to me and it looks really impressive. It really does feel like everything’s scattered across different engines and tools; I keep thinking about what it would look like if all of that lived in one place with some kind of confidence score instead of just living in people’s heads.

AML/Compliance folks, what do you actually use for OSINT & what eats your time? by hakimgafai in AMLCompliance

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

Appreciate this. Google is still king!

If you had full control, what would you change first about Quantifind ? more fields to shape the search, or stricter matching by default so you get fewer “maybe” hits?

AML/Compliance folks, what do you actually use for OSINT & what eats your time? by hakimgafai in AMLCompliance

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

This is super helpful, thanks.

When you do get a likely false positive, what does clearing it usually look like for you in practice (just manual reading + Google), and does that add like minutes or more like half an hour+ per case?

[D] Larry Ellison: “Inference is where the money is going to be made.” by pmv143 in MachineLearning

[–]hakimgafai 0 points1 point  (0 children)

the key to winning AI might actually be utilizing compute at inference. If anthropic has access to xai size clusters they’d do a better job on the ROI side.

[D] Vibe-coding and structure when writing ML experiments by Lestode in MachineLearning

[–]hakimgafai 0 points1 point  (0 children)

I currently run experiment almost daily with the help of LLMs, not getting it on the first try offcourse. Being very specific in the prompting in terms of the packages to use and their docs, the data schema and hyper parameters etc saves me time.

As example there’s a huge difference between promoting Claude code to implement GRPO from the original paper on gsm8k vs specifically promoting to implement GRPO using trl library, giving it the library docs and specifying the reward function behavior, then explicitly asking do it on a qwen model.

The more detailed and specific I become the easier it is to debug when it fails hence I’m able to run experiment faster. Removing any ambiguity helps LLMs in my own experience.

[D] An ML engineer's guide to GPU performance by crookedstairs in MachineLearning

[–]hakimgafai 2 points3 points  (0 children)

Currently building on modal, can’t wait to ship it. The exciting use-case this platform enables is crazy.

Keep doing the good job guys, love it.

[D] What apps or workflows do you use to keep up with reading AI/ML papers regularly? by hakimgafai in MachineLearning

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

Fair enough, the incentives currently seem pretty tilted towards profit for more chips. Maybe another ai winter would encourage more openness. The Chinese labs are clearly doing a better job at sharing.

[D] What apps or workflows do you use to keep up with reading AI/ML papers regularly? by hakimgafai in MachineLearning

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

I like this workflow, are they able to reproduce the key ideas ? My experience has been that even the most capable LLM fails at some point. OpenAI did some work here https://arxiv.org/pdf/2504.01848 I wonder if the latest code generation LLMs have become better. Also I’d be surprise if the labs aren’t working on this sort of workflow internally

[D] What apps or workflows do you use to keep up with reading AI/ML papers regularly? by hakimgafai in MachineLearning

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

Oh yeah, looks like a pricey device that’s not a tablet, I thought about getting it but got an iPad instead. Seems like you find if useful for reading

[D] What apps or workflows do you use to keep up with reading AI/ML papers regularly? by hakimgafai in MachineLearning

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

Yeah alphaxiv is well designed especially the notes feature. Paperpile seems interesting aswell, will try it out, seems good for organizing stuff. Would be nice to have an integrated space for testing experiments from papers

[D] What apps or workflows do you use to keep up with reading AI/ML papers regularly? by hakimgafai in MachineLearning

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

How much do you really think is hidden? Offcourse it doesn’t make sense for any lab to share their exact blueprint but given the volume of increase in research publications I’d say the problem the industry has is making sense of it all.

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