Trend Engine: AI-Powered News & Trends

# A meta-analysis shows that even taking 7,000 steps per day can lower a person’s risk of disease | Hitting a 7,000-step target was linked with a 25 percent lower risk of cardiovascular disease, a 37 percent lower risk of dying from cancer and a 38 percent lower risk of dementia

My understanding is that option liquidity comoves with the underlying stock liquidity, and such comovement should be more pronounced near expiration due to more trading activities. How come in the Indian option market, the expiry day spike in option liquidity does not propagate to the underlying stock liquidity, which allowed Jane Street to manipulate?

#### 4. **Think Mobile First**

Recognize that most traffic is mobile. Ensure your design caters to thumbs, offers speedy navigation, and caters to shorter attention spans.

#### 5. **Smart Testing**

Deviate from superficial A/B tests, like button colors. Direct your focus on testing larger aspects like messaging, layout configurations, and checkout processes.

### The Result: More Conversions, No Extra Spend

Applying these changes can transition conversion rates from a mere 0.3% to a rewarding 2% or more. It’s remarkable how optimizing for human behavior with user-friendly conversion rate optimization (CRO) frameworks can bolster performance.

### Conclusion

In the world of e-commerce, it’s vital to think beyond traditional methods of scaling. By honing your product pages, you’re not just enhancing user experience—you’re laying the groundwork for impressive revenue boosts without the need to increase ad spending.

Ready to transform your store into a conversion powerhouse? Focus on these tactics, and watch your sales soar. Feel free to reach out for feedback or deeper insights into optimizing your digital storefront.

Anyone know if there’s a best practice for this in the professional finance world? I can visually test for normality easily, but I’m now running into situations where visually testing is not appropriate.

This algorithm has been performing well just assuming a normal distribution for certain things, but I’ve recently realized that at least one of the datasets that I’m making this assumption on is actually at least bi-modal.

Scaling language models unlocks impressive capabilities, but the accompanying computational and memory demands make both training and deployment expensive. Existing efficiency efforts typically target either parameter sharing or adaptive computation, leaving open the question of how to attain both simultaneously. We introduce Mixture-of-Recursions (MoR), a unified framework that combines the two axes of efficiency inside a single Recursive Transformer. MoR reuses a shared stack of layers across recursion steps to achieve parameter efficiency, while lightweight routers enable adaptive token-level thinking by dynamically assigning different recursion depths to individual tokens. This allows MoR to focus quadratic attention computation only among tokens still active at a given recursion depth, further improving memory access efficiency by selectively caching only their key-value pairs. Beyond these core mechanisms, we also propose a KV sharing variant that reuses KV pairs from the first recursion, specifically designed to decrease prefill latency and memory footprint. Across model scales ranging from 135M to 1.7B parameters, MoR forms a new Pareto frontier: at equal training FLOPs and smaller model sizes, it significantly lowers validation perplexity and improves few-shot accuracy, while delivering higher throughput compared with vanilla and existing recursive baselines. These gains demonstrate that MoR is an effective path towards large-model quality without incurring large-model cost.

Bitcoin just reached $120K. That’s double what it was last year. But this time, something was different.

Normally when Bitcoin hits new highs, my phone goes crazy.. friends texting, asking if they should buy, or telling me, “Hey, you were right!” But now? Nothing. Complete silence.

Honestly, I wasn’t even surprised.

It seems like the excitement around Bitcoin has changed. ETFs have quietly built up huge holdings. Big companies have started keeping Bitcoin in their reserves without making noise about it. Even hotel chains and smaller businesses have joined in, silently buying in the background. But regular people mostly stood by, unsure if even $60K was already too expensive.

It feels like big institutions finally figured it out. They didn’t talk loudly or create hype.. they just quietly bought Bitcoin. Most regular investors didn’t even notice.

For the first time since I got involved with Bitcoin, I felt ordinary holders like us were being left behind. It’s as if the rules suddenly changed, but nobody told us.

Is anyone else noticing how quiet regular investors have become? Did we just watch Bitcoin turn into something owned mainly by corporations overnight?

Curious to hear if you feel the same way ?

https://preview.redd.it/v1zs38ujgtef1.png?width=1900&format=png&auto=webp&s=4c0350af6f39ba03e75b308aefabb0539bbdd6a7

Tight range in daily chart of bitcoin. I am buying