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I’m experimenting with a multi-stage voice pipeline something that takes raw audio input and processes it through multiple NLP layers (like emotion, tone, and intent). The idea is to understand not just *what* is being said, but deeper nuances behind it.

I’m being intentionally vague for now, but would love to hear from folks who’ve worked on:

* Audio-first NLP workflows
* Transformer models beyond standard text applications
* Challenges with emotional/contextual understanding from speech

Not a research paper request — just curious to connect with anyone who’s walked this path before.

DMs are open if that’s easier.

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It’s not just individuals who need to step up. Platforms hosting this content must shoulder responsibility too. Social media giants are increasingly investing in AI tools themselves to weed out false content. But it’s an ongoing battle.

The saga of Senator Lee serves as both a warning and a call to action. It’s crucial to sharpen our skepticism and better control how information is proliferated online. Until then, we must all keep our eyes peeled. In a world where appearances can deceive, knowing how to see through them is more essential than ever.

Despite this significant movement, Chris Larsen-linked wallets retain over 2.81 billion XRP (~$8.4 billion). This kind of reserve highlights the enormous influence large holders continue to exert on market perceptions and price stability within the crypto world.

For investors and crypto enthusiasts, the message here might be one of vigilance and curiosity. Monitoring these trends can provide insights into potential price movements or shifts in market strategy from major players.

In conclusion, while the outcome of Larsen’s XRP shuffle is yet to be fully understood, it serves as a compelling reminder of the ever-changing and complex narrative of cryptocurrencies. Whether it’s as simple as liquidity or as strategic as a market play, it underscores the evolving strategies within the crypto landscape that can have far-reaching impacts.

Remember, every eCommerce giant started small and faced adversity. The road is rarely straightforward, but each challenge brings a lesson. With persistence and patience, you’ll find your stride. Keep pushing, keep learning, and remind yourself you’re not alone on this journey. Let’s lift each other up and turn our shared struggles into shared successes.

Quick question out of curiosity:

Does Adsbot obey a global (“\*”) disallow? In their doc (List of Google’s special-case crawlers) I found following passage: `AdsBot` ignores the global robots.txt user agent (`*`) with the ad publisher’s permission.

Any ideas what “with the ad publisher’s permission.” means? In other docs google explicitly states that \* does not affect adsbot crawling.

Hi all!

I was curious as to whether how realistic it would be to take solo weekend trips to new cities.

For example, would flying out on a Friday night and flying back in on a Sunday (because we still have bills to pay and limited PTO lol) be feasible?

I’m sure this is heavily individual reliant, but I’d love to hear any experiences or stories anyone may have on balancing their M-F 8-5 and still trying to explore!

I haven’t received much as I’ve always made the excuse of “time, money, work, dishes in the sink” but I’d really like to change that this year and gain more worldly experience and perspective by solo traveling 🙂

Examples of cities I plan to potentially spend a weekend in:

Chicago, IL

NYC (self explanatory)

Portland, OR

Short list for now but I’m also open to suggestions 🙂 I don’t rlly care for tourist attractions much and would prefer to visit and act like a local (as I’m also doing this to scope out new cities to move to).

I’m also doing this to mentally prepare traveling and flying by myself as I’m planning a big trip to Japan in February of next year! Aaaaa, I’m so excited but so nervous.

Hey r/Bitcoin, about a month ago I posted about trying to live off Bitcoin. Most comments called it dumb or said it wouldn’t work due to taxes and fees. I actually agreed, but I’ve found a simple solution that works for me. It’s not perfect, but here’s my plan to start. I will learn as I go and get better I am sure.

The Plan:
I’m using Strike’s Direct Deposit, Pay Rent, and Pay Bills features. 100% of my paychecks will be converted to Bitcoin on Strike. For expenses, I’ll use credit cards with solid rewards (for example Gemini’s 4% Bitcoin cashback or Prime/Chase for Amazon purchases). So in short I am spending USD that are not mine, and instead of paying off my cards every paycheck like I have been doing my whole life, I’ll simply do one payment monthly via Strike’s Pay Bills feature to minimize Bitcoin transfer fees. It won’t eliminate fees entirely but lower them quit a bit, and I’m fine with that. Once I hit a certain amount of Bitcoin on Strike I’ll move my Bitcoin to a cold wallet.

Having 12 payments a year(one a month) via Strike paying off cards, I can use their tax forms to easily fill out taxes. As for income/capital tax, it shouldn’t be much but even so it just means Bitcoin went up and I am beating inflation.

Savings:
I’m converting half my savings to Bitcoin now and the other half over the next 3 months. If this doesn’t work out, I can easily switch my direct deposit back to my bank and convert savings back to USD.

Why I’m Doing This:
With Bitcoin hovering around $117-120k, I don’t see it disappearing, and frankly it’s got too much momentum. I’m fed up with my hard earned money losing value and my investments barely outpacing inflation. I’m going 100% into Bitcoin over the next few months. I’ll either sink with the ship or sail to the new world! (lol that was so cheesy).

I wouldn’t normally share this info but I have been seeing more interest in doing this exact thing from a lot of people online, some friends, and some family. I hope my journey can help others who are interested and seeing what works and doesn’t.

As always I love the discussion and feedback. What do you think? Any tips or flaws I’m missing?

TLDR Using Strike and a cold wallet lol

Hey everyone 👋 This is my first post here 😀

I published a guide on fine-tuning YOLO models for custom object detection, showing how to transform a generic 80-class detector into a specialized system (using soccer match analysis as an example).

A bit of context: I’ve been working on a YOLO library for Elixir that supports custom models via ONNX format. Since the library can load any custom YOLO model, I created this content to show how to train your own models using Ultralytics’ tooling. The approach is language-agnostic – the resulting model works with any framework supporting PyTorch or ONNX, though I demonstrate Elixir integration at the end.

This fine-tuning approach applies to various industries where domain-specific object detection is needed – sports analytics, manufacturing QC, etc.

Elixir YOLO library: [https://github.com/poeticoding/yolo\_elixir](https://github.com/poeticoding/yolo_elixir)

Video + Article about Elixir YOLO 0.2.0: [https://www.poeticoding.com/elixir-yolo-v0-2-0-yolox-support-custom-models-and-performance-boost/](https://www.poeticoding.com/elixir-yolo-v0-2-0-yolox-support-custom-models-and-performance-boost/)

Let me know if you would find interesting some videos about the details of the YOLO architecture