quanter @autodidactquant

ucla’22 Joined August 2024

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492
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89
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2K
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2K

Thinking Machines @thinkymachines

a day ago

math matters in scaling!

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Tanishq Mathew Abraham, Ph.D. @iScienceLuvr

3 days ago

Yang Song, one of the world's top diffusion model researchers and inventor of consistency models, has left OpenAI to join Meta

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Max Mynter @MaxMynter

2 days ago

You asked, I deliver (2 weeks late). A blogpost about what I did over the last 18 months to sign as a research engineer at a foundation model lab. Link and summary below 1/n

Max Mynter @MaxMynter

3 weeks ago

You asked, I deliver (2 weeks late). A blogpost about what I did over the last 18 months to sign as a research engineer at a foundation model lab. Link and summary below 1/n https://t.co/RbW6qYrwbX

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Yang is responsible for one of the rare pretraining research breakthroughs at openai that worked at scale in the last ~year congrats to MSL and hope my pretraining friends at openai are ready to pick up some major slack!

Yuchen Jin @Yuchenj_UW

3 days ago

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Abhishek Kankani @KankaniAbhishek

5 days ago

we’re hiring :)

Cloudflare @Cloudflare

5 days ago

we’re hiring :)

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Rohan 🦆 @G3ni3sWish

6 days ago

Very clear explanation of local vol and stochastic vol models!👇 A must read thread on what practitioners should understand about out-of-the-box vol models & suitability of their application

OnlyFund @OneHotCode1

6 days ago

Very clear explanation of local vol and stochastic vol models!👇 A must read thread on what practitioners should understand about out-of-the-box vol models & suitability of their application

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OnlyFund @OneHotCode1

6 days ago

OK, this is gonna be a vol modeling 101. Nothing too fancy and quanty, just a simple intro of the concepts and idea behind FWIW - i'm not trying to sell sht, just help junior and novice practitioners understand this world a bit better Let's dive in..

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Vipul Gupta @vipul_1011

a week ago

Took me 4 days to read this blog, but totally worth it. A great detailed guide to post training. Why aren't many people talking about it. Kudos to @Han_Fang_ @karthikabinav for sharing their thoughts. tokens-for-thoughts.notion.site/post-training-…

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Priyanshu Priyank @PriyanshuP1405

a week ago

Everything you need for quant/trading in one place Link in comments!

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Kris @KrisAbdelmessih

a week ago

Anyone wanna test a put-call parity speed game I vibe-coded? It's a replica of the one we trained on an eon ago. claude.ai/public/artifac… Oh and just for a frame of reference, @moreproteinbars could do 15 of these with 100% accuracy in under 30 seconds

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Vivek V Rao @VivekVRao1

a week ago

portfoliovisualizer.com/factor-analysi… To assess the exposures of an asset, Portfolio Visualizer lets you regress returns of one or more tickers against a set of tickers or factors such as Fama French, using OLS or lasso. For example, XLE has had betas to SPY, USL (12mo oil), and UNL (12mo…

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Sebastian Raschka @rasbt

2 weeks ago

When I started LLMs-from-scratch I just hoped it might help a few people learn. Just saw the GitHub the repo has now been forked 10k times! More than the stars, the best part is seeing thousands of people actually use and build on the code ☺️

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Eric Ciarla (hiring) @ericciarla

2 weeks ago

Want to be an intern at @firecrawl_dev? DM your GitHub!

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John Wang @j0hnwang

2 weeks ago

amazing technical overview of the prediction markets landscape

Baheet @Baheet_

2 weeks ago

amazing technical overview of the prediction markets landscape

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Vivek V Rao @VivekVRao1

2 weeks ago

portfoliovisualizer.com/tactical-asset… Portfolio Visualizer lets you test how a portfolio has done when a signal asset is above its moving average, holding cash otherwise. Long-term muni bond funds have done better when long-term Treasuries (TLT) are above their 63-trading-day (3-month) moving…

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Vivek V Rao @VivekVRao1

2 weeks ago

privatebank.jpmorgan.com/nam/en/insight… Are valuations too high? Valuations may be high relative to history, but they seem justified. At about 22.5x next-12-months earnings, the S&P 500 sits near levels last seen in the late 1990s/2000. Two facts underpin the valuation: The index constituency…

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noalphadecay @noalphadecay

2 weeks ago

I move on to (2): trend detection (=signal)

cephalopod @macrocephalopod

3 years ago

I move on to (2): trend detection (=signal)

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Street @StreetFDN

2 weeks ago

$100k grant per startup - applications open.

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Gappy (Giuseppe Paleologo) @__paleologo

2 weeks ago

Here are the slides I used at MIT today for the talk "Buy-Side Equity Quant Analysis: Tools and Open Problems". The talk is very high-level, and reuses some problems I described at a Fordham's conference last year. There is little new, but... ok, there's little new on this topic…