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# An old screenshot I found that I took because I was trying to withdraw BTC from Havelock investments and was getting an error. I just got frustrated and left it because it was only a couple bucks.

Yo!
I’m a sophomore working on an experimental volatility framework based on GARCH, called **GARCH-FX** (GARCH Forecasting eXtension). It’s my attempt to fix the “flatlining” issue in long-term GARCH forecasts and generate more realistic volatility paths, with room for regime switching.

Long story short:

* GARCH long term forecasts decay to the mean -> unrealistic
* I inject Gamma distributed noise to make the paths stochastic and more lifelike

What worked:

* Stochastic Volatility paths look way more natural than GARCH.
* Comparable to Heston model in performance, but simpler (No closed form though).

What didn’t:

* Tried a 3-state Markov chain for regimes… yeah that flopped lol. Still, it’s modular enough to accept better signals.
* The vol-of-vol parameter (theta) is still heuristic. Haven’t cracked a proper calibration method yet.

Here’s the SSRN paper: [https://papers.ssrn.com/sol3/papers.cfm?abstract\_id=5345734](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5345734)

Thoughts and Feedbacks welcome!

https://fortune.com/2025/07/24/sam-altman-theo-von-podcast-ai-fears-humanity/

Many SEO hacks out there can feel spammy, think private blog networks, fake guest posts, or questionable Fiverr gigs. That’s not my style.

I wanted a clean approach, one that I wouldn’t mind showing during a Google penalty audit. So, I created a small script that combines OpenAI with a custom database of startup directories.

Here’s how the system works:

1. I provide GPT with a concise version of my product description.
2. It rewrites the description based on the niche and tone of each site.
3. My script then automatically submits it to over 500 niche directories over a few days (with rate-limiting and randomness).

All links are live profile-style pages, nothing shady here. These are real listings on legitimate websites, like startup directories, AI tool aggregators, mobile app showcases, and more.

Some people may laugh at directory submissions, but that’s what helped me get indexed and rank quickly. There was no outreach and no content marketing, just quiet visibility.

The best part? I now launched [this tool](http://getmorebacklinks.org/) and offer this service to other SaaS founders as well. They simply fill out one form, and voilà—100+ live listings within a week.

I want to do fast tick by tick backtests (and possibly paper trade) without having to build an entire backtester from scratch since I’m just learning. But I still want to use C++ just because it’s fast and I want to learn it more, personally. Do you guys know anything? would appreciate some info a lot 🙂

At my firm, everyone is currently focused on large language models (LLMs). For an upcoming project, we need to develop a machine learning model to extract custom entities varying in length and complexity from a large collection of documents.
We have domain experts available to label a subset of these documents, which is a great advantage. However, I’m unsure about what the current state of the art (SOTA) is for named entity recognition (NER) in this context.
To be honest, I have a hunch that the more “traditional” bidirectional encoder models like (Ro)BERT(a) might actually perform better in the long run for this kind of task. That said, I seem to be in the minority most of my team are strong advocates for LLMs. It’s hard to disagree with the current major breakthroughs in the field..
What are your thoughts?

EDIT:
Data consists of legal documents, where legal pieces of text (spans) have to be extracted.

+- 40 label categories

Hey guys! I wanted to discuss this topic about the stablecoins as USD/fiat alternative in struggling regions.

I’ve learned that USDT/USDC can help bypass sanctions, provide a stable alternative to their unstable currencies and help people protect their wealth. In some cases people have no access to foreign currencies whatsoever.

I want to hear your stories if you face such issues in your regions. Especially, I am interested in people from business or those who are not tech-savvy.

As I can see, stablecoins will grow in demand as an alternative to USD, whereas traditional crypto assets will remain speculative investment.

I have Venezuela, Iran or African nations in mind. So what’s up?