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# Study has found that people who report favorable views of Donald Trump also tend to score higher on measures of callousness, manipulation, and other malevolent traits—and lower on empathy and compassion.

Facing hiccups with the PumpFarm bot can be frustrating, but with the right troubleshooting steps and potentially exploring new tools, you can continue managing your Telegram groups efficiently. Always stay updated with the latest in community forums or official channels to keep your operations running smoothly. Remember, technology is ever-evolving, and there are myriad solutions out there—sometimes, a quick conversation or a post in a forum like Reddit can lead to the answer you need. Happy exploring!

# Researchers have discovered that the human brain organizes visual memories through precise neural timing, recalling objects by categorizing them. These visual memory categories were decodable based on patients’ brain signals

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**Please be careful about what information you share and the actions you take.** Do not share the amounts of your portfolios (why not just share percentage?). Do not share your private keys or wallet seed. Use strong, non-SMS 2FA if possible. Beware of scammers and be smart. Do not invest more than you can afford to lose, and do not fall for pyramid schemes, promises of unrealistic returns (get-rich-quick schemes), and other common scams.

 

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hey everyone, when i get to website it works pretty well and other paths of the doamain are indexed but the main one “/” it not indexed and on semrrush it get error 406

Over the past few months, we’ve been working with a group of builders in the Aptos ecosystem to design a 4-week virtual accelerator tailored for early-stage Web3 founders.

It’s fully remote, focused on helping founders get their MVP and pitch ready. There’s hands-on mentoring, tech guidance, and it ends with a Demo Day where teams can pitch for up to **$50K in funding**.

We’re doing a small beta cohort (just 10 teams). Applications close July 18.

Not trying to promote — just curious if others have been part of similar early-stage programs and what made them worthwhile?

If anyone’s curious about this one, I’m happy to share more in the comments.

Does anybody have experience with creating a network of sites (appearing as separate businesses) in order to cover different areas for the same service while using the same phone number? Do search engines pick up that footprint and degrade or even deindex those sites because of the spam?

**Example:**
You have 15 domains without GBPs but with the same number listed in the contact info and in the Organization schema markup on all of them.

Hi there!

I’d like to share a project I’ve been working on over the last few months; **Echoes of GaIA** is a hybrid framework for modeling evolution and running biome simulations with “*living*” ecosystems using lots of AI techniques. For context, I’ve been working quite a few years in the software and videogame development world, but four years ago I went back to university (hasn’t been easy at this stage of life, but I just finished a few days ago and finally pulled out a huge thorn I’d had for more than 15 years) and this has been my capstone project. I specialized in Computation theory and Artificial Intelligence and wanted to create a kind of ode to AI and tackle biomes holistically, since I was eager to learn all these techniques and the underlying math.

The idea was to shape a project that – although just a very modest, small gesture, symbolic I’d say – tries to contribute something toward helping heal the planet, improving climate change, etc., through Artificial Intelligence. I just wanted to share it because I think it might interest people reading this subreddit, and I cover some pretty current topics that I believe are very important.

Anyway, some of the things I’ve implemented:

• Climate and fauna agents based on **Reinforcement Learning**

• **Genetic algorithms** for species **evolution**

• “Equilibrium” agent (**neurosymbolic AI**) – the idea here is to balance the whole ecosystem (for now using **LSTM multivariate multihorizon with attention** and expert systems and/or **graphs** as the knowledge base)

• I also do c**omputational modeling** (but on its discrete side, not continuous) of many biological and physiological processes

It can be extended easily (I used ECS so I could have a modular component system for the biological processes of flora and fauna entities) and I’ve also put together a snapshot viewer and real‑time metrics (InfluxDB + Grafana).

Project website → [https://www.echoes-of-gaia.com](https://www.echoes-of-gaia.com) (turn on **sound** before clicking!! I’m quite a big nerd and wanted to set a proper ambiance)

GitHub repo → [https://github.com/geru-scotland/echoes-of-gaia](https://github.com/geru-scotland/echoes-of-gaia)

If anyone’s interested in the technical report, it’s available on the site as **Main Doc** and there’s also a document covering the project’s basic foundations, architecture, and main systems **Architecture doc** (those documents are only available in Spanish, unfortunately).

Any suggestions are more than welcome and, if you like it, I’d appreciate a star on GitHub. Thanks!

Hey r/quant!

We’re Monkey Tilt – a crypto-first online casino operating at the intersection of gaming, trading, and entertainment. We’re building a platform that blends real-money gaming with modern creator-led culture, and we’re looking to expand our quantitative capabilities as we scale.

We’re hiring a **Quantitative Risk Analyst** as an **Intern or Full-Time Role** to take ownership of risk modeling and exposure management across our gaming products. You’ll be working directly underneath our current Head of Risk.

# Role Overview:

This role sits at the core of our platform economics. You’ll be responsible for developing models to monitor, forecast, and manage risk across thousands of games and users. The work is a mix of statistical modeling, real-time exposure analysis, and simulation-based forecasting. We’re looking for someone who can bring a quantitative lens to questions like:

* What is our true max exposure per game or per user?
* How do we dynamically adjust limits and volatility thresholds?
* Can we model win/loss distributions more accurately for better forecasting?
* How do we balance product growth with long-term sustainability?

# Ideal Background:

* Strong quantitative foundation – statistics, mathematics, or engineering
* Experience with simulations, risk modeling, or forecasting frameworks
* Comfort with Python (pandas, NumPy, SciPy, etc.)
* Familiarity with gaming, trading, or crypto ecosystems is a plus
* Able to work independently and make decisions with limited structure

# Bonus:

* Experience in iGaming or sports betting (on either side of the table)
* Knowledge of game RTP, volatility curves, payout distributions
* Experience building real-time dashboards or alerting systems

# What We Offer:

* Competitive compensation. Likely to start around \~$100k, highly negotiable depending on experience (as well as if you’re interning).
* Flexible work location; can be fully remote
* A small, fast-moving team with direct access to product and executive leadership
* High-impact work – your models directly influence platform health and profitability

We’re not building a traditional casino. We’re building an entertainment and trading platform where risk is core to the product. If you’re a quant who enjoys working with real-world data, making systems more resilient, and operating in fast-moving environments – we’d love to talk. Feel free to DM me for contact information or to inquire about the role.