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I coded a Speech-to-Text model from scratch. 𝐇𝐞𝐫𝐞 𝐢𝐬 𝐭𝐡𝐞 𝐛𝐥𝐨𝐠 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐬𝐚𝐦𝐞: No APIs. No pre-trained models. Just PyTorch, an A100 GPU, and hours of debugging. This started months ago. I wanted to understand how machines hear. Not surface-level understanding. I wanted to build the whole thing... myself. So I built it piece by piece: autoencoders, VAEs, VQ-VAEs, Residual Vector Quantization, and CTC loss. Each one took days to get right. Trained for 3 hours on 13,100 audio clips. Got complete garbage. Changed the tokenizer from BPE to character-level. Rechecked everything. Asked AVB who built STT models before. His answer: these models are tricky to train and need days of compute, not hours. Cut the dataset to 200 clips. After 2 hours, actual words appeared. Overfitted? Absolutely. But watching noise turn into recognizable English was satisfying. I have made a blog about this as well so you can learn about the same and my process - Audio fundamentals and waveform representation - Why attention breaks on raw audio - Convolutional downsampling - Transformer encoder with positional encoding - Vector Quantization, straight-through estimator, and RVQ - CTC loss and greedy decoding - Full training loop with VQ loss warmup - What went wrong and what finally worked Resources: - Blog: - Code: More Resoures CTC loss AVB videos SoundStream Paper LJ speech dataset wav2vec paper RVQ blog Next up: I've already trained two TTS architectures from scratch. Video post about those coming soon. But first, I'm dropping a visual breakdown of Vision Transformers, covering how they work and how to fine-tune them. Follow me Mayank Pratap Singh you're into audio deep learning. Repost so others can find thisshow more

Mayank Pratap Singh

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What if your voice AI could interrupt you the moment it figured out your question - sometimes even before you finished asking it? Last week, I sat down with Neil, CEO of Gradium and co-founder of Kyutai , to talk about the future of speech-to-speech models and why he believes today's cascaded voice systems will soon look "archaic and brittle." Some highlights from our conversation: 🎯 How Kyutai built Moshi—a full duplex conversational AI with "negative latency"—in 6 months with just 4-6 people (while big tech teams had 10-20x the resources) 🧠 Why speech-to-speech models lose intelligence compared to their text counterparts (and what's being done about it) 📱 Pocket TTS: The first voice cloning model that runs on your phone's CPU—not GPU, CPU 🤖 Why robotics and spatial audio represent the next frontier (hint: current voice systems completely break in these environments) 👶 The efficiency gap: Babies learn to speak fluently from <5,000 hours of audio. Current models train on millions of hours. We're doing something wrong. My favorite vision from Neil? The first truly contrarian AI that interrupts you mid-sentence to tell you why you're wrong. Not just more natural conversation—but actually useful for testing ideas and playing devil's advocate. Full episode and detailed blog post linked in the comments 👇 What's your take - will speech-to-speech replace cascaded systems, or will modularity keep cascaded architectures dominant even as naturalness improves?

What if your voice AI could interrupt you the moment it figured out your question - sometimes even before you finished asking it? Last week, I sat down with Neil, CEO of Gradium and co-founder of Kyutai , to talk about the future of speech-to-speech models and why he believes today's cascaded voice systems will soon look "archaic and brittle." Some highlights from our conversation: 🎯 How Kyutai built Moshi—a full duplex conversational AI with "negative latency"—in 6 months with just 4-6 people (while big tech teams had 10-20x the resources) 🧠 Why speech-to-speech models lose intelligence compared to their text counterparts (and what's being done about it) 📱 Pocket TTS: The first voice cloning model that runs on your phone's CPU—not GPU, CPU 🤖 Why robotics and spatial audio represent the next frontier (hint: current voice systems completely break in these environments) 👶 The efficiency gap: Babies learn to speak fluently from <5,000 hours of audio. Current models train on millions of hours. We're doing something wrong. My favorite vision from Neil? The first truly contrarian AI that interrupts you mid-sentence to tell you why you're wrong. Not just more natural conversation—but actually useful for testing ideas and playing devil's advocate. Full episode and detailed blog post linked in the comments 👇 What's your take - will speech-to-speech replace cascaded systems, or will modularity keep cascaded architectures dominant even as naturalness improves?

Brooke Hopkins

13,000 Aufrufe • vor 6 Monaten

I built an agent that answers machine-learning questions. It's autonomous, and the best part is that I built the whole thing without writing a single line of Python code. Here is what I did and how I did it: Over a year ago, a friend and I built a site that publishes multi-choice questions. You get a new one every day. I decided to have GPT-3.5 answer questions. Here is what I needed to build: 1. Connect to the site's API to retrieve today's question 2. Extract the question and the potential choices 3. Connect to OpenAI's API and ask GPT-3.5 to answer the question 4. Parse the answer from the model 5. Submit the answer back to the API to get the score Not difficult. Likely several hours of work. But I didn't have to write any code. I built the whole thing by dragging and dropping components using Vellum is a YC-backed platform for developers to build LLM applications. They are the only ones I've seen offering this functionality. They sponsored this post, and their team helped me with all my questions while I built this. I created a workflow. The platform supports several node types to build whatever you have in mind. I show how I put the whole thing together in the attached video. The only code I had to write was a few lines of Jinja to parse and transform the API and the LLM results. There are three lessons I want to share from this experience: First, the best possible code is the one you didn't write. I'm a big fan of no-code tools because they help me materialize my ideas fast. They help product people, designers, and no coders collaborate on the solution. Second, Large Language Models are sensitive to how you prompt them. Small changes to prompts can make a big difference in results. This is more pronounced when you are building a multi-step workflow. Third, automated testing and evaluation for prompts is critical. There aren't many companies thinking about this. They'll have a hard time moving from a demo phase. The attached video will show you what I did.

I built an agent that answers machine-learning questions. It's autonomous, and the best part is that I built the whole thing without writing a single line of Python code. Here is what I did and how I did it: Over a year ago, a friend and I built a site that publishes multi-choice questions. You get a new one every day. I decided to have GPT-3.5 answer questions. Here is what I needed to build: 1. Connect to the site's API to retrieve today's question 2. Extract the question and the potential choices 3. Connect to OpenAI's API and ask GPT-3.5 to answer the question 4. Parse the answer from the model 5. Submit the answer back to the API to get the score Not difficult. Likely several hours of work. But I didn't have to write any code. I built the whole thing by dragging and dropping components using Vellum is a YC-backed platform for developers to build LLM applications. They are the only ones I've seen offering this functionality. They sponsored this post, and their team helped me with all my questions while I built this. I created a workflow. The platform supports several node types to build whatever you have in mind. I show how I put the whole thing together in the attached video. The only code I had to write was a few lines of Jinja to parse and transform the API and the LLM results. There are three lessons I want to share from this experience: First, the best possible code is the one you didn't write. I'm a big fan of no-code tools because they help me materialize my ideas fast. They help product people, designers, and no coders collaborate on the solution. Second, Large Language Models are sensitive to how you prompt them. Small changes to prompts can make a big difference in results. This is more pronounced when you are building a multi-step workflow. Third, automated testing and evaluation for prompts is critical. There aren't many companies thinking about this. They'll have a hard time moving from a demo phase. The attached video will show you what I did.

Santiago

309,825 Aufrufe • vor 2 Jahren

I trained a 100 million parameter DeepSeek V3 LLM from scratch Here's what you need to know. Previously I trained traditional GPT-2 architecture which has become obsolete with recent LLM advancements. Most recent models like Llama, Mistral, DeepSeek, and GPT-4 use latest architectures. ✦ Model Configuration of my SLM DeepSeek V3 - Parameters: 109,032,032 - Embedding Dimension: 512 - Layers: 8 - Heads: 8 - Experts (MoE): 8 - Experts per token: 2 ✦ DeepSeek brings major architectural changes: - Multi Head Latent Attention - Mixture of Experts - RMS Norm - Multi Token Prediction ✦ Dataset Challenge - TinyStories is great for learning SLMs. I trained GPT-2 on it previously with good results. - But I needed a more challenging dataset. - If I use TinyStories again on DeepSeek, how would I know MHLA, MoE or MTP works better than old architecture? - The old architecture can handle it, so new DeepSeek would too without utilizing latest advancements. That's why I moved to FineWeb-Edu dataset Thanks Yuvraj Singh for the suggestion for this dataset ✦ Training Journey - Rented A100 PCIe GPU and trained the model. - Did test runs. During final run, model was 65% trained but stopped due to glitch after 4 hours. - Fixed all edge cases and ran training again with increased config parameters. - Final training: 7 hours, 20,000 epochs 𝐓𝐨𝐭𝐚𝐥 𝐆𝐏𝐔 𝐜𝐨𝐬𝐭: $17 - $9.53 for main 7-hour run - $7.42 for experiments and demos ✦ Reflection Amazing long project that taught me latest architectural advancements. I'll reimplement and revisit after a few weeks because there's too much complexity, mostly in Multi Head Latent Attention part. Need to make concepts stronger. Code Final trained Model Dataset Resources Huge shoutout to Raj Dandekar again for creating one of the most detailed video series about DeepSeek - this was my primary resource for the implementation. Playlist Blogs by Maarten Grootendorst These are excellent visual blogs to understand MoE in detail. Thanks Maarten for your amazing contributions to the community through your books and blogs Blogs on MoE Implemention of MoE from scratch by @aviTwit3 One of the most detailed blogs on implementing Mixture of Experts. Thanks Avinash for this blog - it helped me understand Mixture of Experts much better. If you're someone in the 𝐌𝐋 & 𝐋𝐋𝐌 space, would love to 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 and discuss this field in general, so give a follow up for that.

I trained a 100 million parameter DeepSeek V3 LLM from scratch Here's what you need to know. Previously I trained traditional GPT-2 architecture which has become obsolete with recent LLM advancements. Most recent models like Llama, Mistral, DeepSeek, and GPT-4 use latest architectures. ✦ Model Configuration of my SLM DeepSeek V3 - Parameters: 109,032,032 - Embedding Dimension: 512 - Layers: 8 - Heads: 8 - Experts (MoE): 8 - Experts per token: 2 ✦ DeepSeek brings major architectural changes: - Multi Head Latent Attention - Mixture of Experts - RMS Norm - Multi Token Prediction ✦ Dataset Challenge - TinyStories is great for learning SLMs. I trained GPT-2 on it previously with good results. - But I needed a more challenging dataset. - If I use TinyStories again on DeepSeek, how would I know MHLA, MoE or MTP works better than old architecture? - The old architecture can handle it, so new DeepSeek would too without utilizing latest advancements. That's why I moved to FineWeb-Edu dataset Thanks Yuvraj Singh for the suggestion for this dataset ✦ Training Journey - Rented A100 PCIe GPU and trained the model. - Did test runs. During final run, model was 65% trained but stopped due to glitch after 4 hours. - Fixed all edge cases and ran training again with increased config parameters. - Final training: 7 hours, 20,000 epochs 𝐓𝐨𝐭𝐚𝐥 𝐆𝐏𝐔 𝐜𝐨𝐬𝐭: $17 - $9.53 for main 7-hour run - $7.42 for experiments and demos ✦ Reflection Amazing long project that taught me latest architectural advancements. I'll reimplement and revisit after a few weeks because there's too much complexity, mostly in Multi Head Latent Attention part. Need to make concepts stronger. Code Final trained Model Dataset Resources Huge shoutout to Raj Dandekar again for creating one of the most detailed video series about DeepSeek - this was my primary resource for the implementation. Playlist Blogs by Maarten Grootendorst These are excellent visual blogs to understand MoE in detail. Thanks Maarten for your amazing contributions to the community through your books and blogs Blogs on MoE Implemention of MoE from scratch by @aviTwit3 One of the most detailed blogs on implementing Mixture of Experts. Thanks Avinash for this blog - it helped me understand Mixture of Experts much better. If you're someone in the 𝐌𝐋 & 𝐋𝐋𝐌 space, would love to 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 and discuss this field in general, so give a follow up for that.

Mayank Pratap Singh

48,120 Aufrufe • vor 1 Jahr

Text-to-speech is moving way too fast. Just a few days ago, I tweeted about PersonaPlex-7B, NVIDIA's new open source TTS ( And today, Qwen just open-sourced Qwen3-TTS 🤯 It’s a revolutionary text-to-speech model built for control. Not just about generating speech, but about shaping how it sounds directly from language. You can guide the pace, the tone, and the expressiveness straight from text, without touching audio graphs or hand-tuning parameters. That’s the real shift! What makes Qwen3-TTS stand out is how practical it already is: → voice cloning from just a few seconds of audio → voice creation without any reference sample → support for 10 languages out of the box → end-to-end latency down to ~97ms → works in both streaming and non-streaming setups The models come in two sizes (0.6B and 1.7B), so you can trade off quality and hardware cost depending on your setup. You can work with curated voices, designed voices, or cloned ones, and it integrates cleanly with vLLM for production use. It also ships as a simple Python package you can pip install. If you’re building real-time voice systems, this removes a lot of friction! 100% free and open source. I put the repo in the 🧵↓

Text-to-speech is moving way too fast. Just a few days ago, I tweeted about PersonaPlex-7B, NVIDIA's new open source TTS ( And today, Qwen just open-sourced Qwen3-TTS 🤯 It’s a revolutionary text-to-speech model built for control. Not just about generating speech, but about shaping how it sounds directly from language. You can guide the pace, the tone, and the expressiveness straight from text, without touching audio graphs or hand-tuning parameters. That’s the real shift! What makes Qwen3-TTS stand out is how practical it already is: → voice cloning from just a few seconds of audio → voice creation without any reference sample → support for 10 languages out of the box → end-to-end latency down to ~97ms → works in both streaming and non-streaming setups The models come in two sizes (0.6B and 1.7B), so you can trade off quality and hardware cost depending on your setup. You can work with curated voices, designed voices, or cloned ones, and it integrates cleanly with vLLM for production use. It also ships as a simple Python package you can pip install. If you’re building real-time voice systems, this removes a lot of friction! 100% free and open source. I put the repo in the 🧵↓

Charly Wargnier

59,144 Aufrufe • vor 7 Monaten

Fitness Update: End of 3 months of Bulking. Starting a 3 month cut tomorrow, my last cut of 2026. I lost about 50 pounds from January 2025 till the end of March 2026 with a 13 month straight cut aided by Retatrutide and Tirzepatide. Counted calories and ran a deficit and lifted weights the whole time. My body needed a break and a reset from the stress of cutting for that long and constant downregulating of my metabolism. I decided to take April off and just do more calories and more lifting, and that turned into deciding to do May and June as well. So for 3 months straight I've been eating a lot more and lifting a LOT. I've gained about 5 pounds. Abs are not very visible anymore. But I've put on some muscle and strength as well and increased my base metabolic rate by several hundred calories. This is positioning me to be able to better be able to run a deficit again and continue into another cut with more energy and success possible. So this is me thicc boi mode ready to start a cut and get lean and mean. I'm sitting at ~195 right now and ~16-18% body fat. Goal of my cut is to get to the 180 or so range over the next 3 months and be in the 12-13% BF range, at which point I'll do a slow patient bulk through Oct-January and enjoy the fall and Holidays with lots of calories and strength training. Starting tomorrow I'm going to add 30-45 minutes of daily fasted zone 2 cardio first thing in the morning to burn an extra 150-300 cals. And I will drop my daily calorie allowance about 400 calories from what I've been eating the last few months. (2500-2800 down to 2200 to start, lowering later to 2100 and 2000 lowest if necessary to keep rate of loss where I want) This should get me the 1+ pound per week rate of loss I'm looking for. And I'll continue to prioritize lifting and protein as well to preserve the muscle mass I've built up and get as much of the loss to be fat as possible. I'm also going zero alcohol the whole cut as well. If I execute well, I'll be by far the fittest and leanest I've ever been at the end of September and I'm excited to see what that looks and feels like when I get there. Going from 70+ pounds overweight to building your dream physique isn't a quick process, people. Give yourself a couple of years to work on it systematically. It took you years to get out of shape, so you can take a couple years to get into great shape. But once you're there it's easier to stay there than it was to get there thankfully. The work continues. Let me know if you have any questions about anything. I'm documenting the whole process and will keep y'all up to speed. Open book. Building in public for accountability and hopefully to help others with their journey as well. 4th pic is me at my fattest in 2024. Embarrassing to post but necessary conext. I was in a sad, sad state you guys and heading towards diabetes and an early grave. If I can do this, you can do this!

Fitness Update: End of 3 months of Bulking. Starting a 3 month cut tomorrow, my last cut of 2026. I lost about 50 pounds from January 2025 till the end of March 2026 with a 13 month straight cut aided by Retatrutide and Tirzepatide. Counted calories and ran a deficit and lifted weights the whole time. My body needed a break and a reset from the stress of cutting for that long and constant downregulating of my metabolism. I decided to take April off and just do more calories and more lifting, and that turned into deciding to do May and June as well. So for 3 months straight I've been eating a lot more and lifting a LOT. I've gained about 5 pounds. Abs are not very visible anymore. But I've put on some muscle and strength as well and increased my base metabolic rate by several hundred calories. This is positioning me to be able to better be able to run a deficit again and continue into another cut with more energy and success possible. So this is me thicc boi mode ready to start a cut and get lean and mean. I'm sitting at ~195 right now and ~16-18% body fat. Goal of my cut is to get to the 180 or so range over the next 3 months and be in the 12-13% BF range, at which point I'll do a slow patient bulk through Oct-January and enjoy the fall and Holidays with lots of calories and strength training. Starting tomorrow I'm going to add 30-45 minutes of daily fasted zone 2 cardio first thing in the morning to burn an extra 150-300 cals. And I will drop my daily calorie allowance about 400 calories from what I've been eating the last few months. (2500-2800 down to 2200 to start, lowering later to 2100 and 2000 lowest if necessary to keep rate of loss where I want) This should get me the 1+ pound per week rate of loss I'm looking for. And I'll continue to prioritize lifting and protein as well to preserve the muscle mass I've built up and get as much of the loss to be fat as possible. I'm also going zero alcohol the whole cut as well. If I execute well, I'll be by far the fittest and leanest I've ever been at the end of September and I'm excited to see what that looks and feels like when I get there. Going from 70+ pounds overweight to building your dream physique isn't a quick process, people. Give yourself a couple of years to work on it systematically. It took you years to get out of shape, so you can take a couple years to get into great shape. But once you're there it's easier to stay there than it was to get there thankfully. The work continues. Let me know if you have any questions about anything. I'm documenting the whole process and will keep y'all up to speed. Open book. Building in public for accountability and hopefully to help others with their journey as well. 4th pic is me at my fattest in 2024. Embarrassing to post but necessary conext. I was in a sad, sad state you guys and heading towards diabetes and an early grave. If I can do this, you can do this!

Clint Fiore 🦬 DM for Biz Deals

75,761 Aufrufe • vor 2 Monaten

I just hit 100k subscribers on YouTube and I'm stoked. Which is why I've decided to give this whole content creation thing a real shot. Starting today, I am going to stream consistently on Twitch and regularly upload to my channel. A little back story on how I got here. Before I created content I suffered from clinical depression after having my thyroid removed due to cancer. I would escape by watching streams and gaming videos to relax. One day I decided to just give it a shot. So I hooked up my computer and talked into a very cheap mic and started streaming. It went terribly, but honestly... I was thrilled. Then I took some of that footage and edited it down like I did with skate videos to some random song that reminded me of a model runway. Took forever to get done on my free time. I got one encouraging comment... And I was absolutely thrilled. These days I get comments from people who tell me what they're struggling through and how my videos helped them forget about it for an hour. And every time that happens, I'm reminded of why I do this. To pay back for all the times I was entertained when I was having a hard time. It seems so dumb, but man... I can't tell you what a stupid little video or silly stream can do for someone having a really hard time. I'm not sure if this is going to work... But I'm going to give it a try. Even if I fail, I'm not going to stop creating. I got exciting plans for the future but this is the first step. Where it takes me... I'm not sure. I hope you all come along. Regardless. Thanks to all of you for supporting me and helping me out. I never thought I'd hit 100k or have any type of following. Not in a million years. I am grateful and appreciative. Here's to what comes next I guess. Tea is life. ☕️

I just hit 100k subscribers on YouTube and I'm stoked. Which is why I've decided to give this whole content creation thing a real shot. Starting today, I am going to stream consistently on Twitch and regularly upload to my channel. A little back story on how I got here. Before I created content I suffered from clinical depression after having my thyroid removed due to cancer. I would escape by watching streams and gaming videos to relax. One day I decided to just give it a shot. So I hooked up my computer and talked into a very cheap mic and started streaming. It went terribly, but honestly... I was thrilled. Then I took some of that footage and edited it down like I did with skate videos to some random song that reminded me of a model runway. Took forever to get done on my free time. I got one encouraging comment... And I was absolutely thrilled. These days I get comments from people who tell me what they're struggling through and how my videos helped them forget about it for an hour. And every time that happens, I'm reminded of why I do this. To pay back for all the times I was entertained when I was having a hard time. It seems so dumb, but man... I can't tell you what a stupid little video or silly stream can do for someone having a really hard time. I'm not sure if this is going to work... But I'm going to give it a try. Even if I fail, I'm not going to stop creating. I got exciting plans for the future but this is the first step. Where it takes me... I'm not sure. I hope you all come along. Regardless. Thanks to all of you for supporting me and helping me out. I never thought I'd hit 100k or have any type of following. Not in a million years. I am grateful and appreciative. Here's to what comes next I guess. Tea is life. ☕️

TeaGuyTom

21,536 Aufrufe • vor 1 Jahr

I feel so scammed, I commissioned an artist I loved for my first ever vtuber model back in 2022 for $650 but when i received it it was un-Rig-able and unusable, I even made sure to check with multiple riggers. I contacted the artist and we came to an agreement they will draw me more art to make up for it, (we agreed on one full body, one headshot, and 4 emotes) they deliver one of the art pieces about 6 months after receiving the first piece and no progress on anything else i just asked for a partial refund of $300 (image in thread). They agreed to pay this in installments, they have payed $50, then since have ghosted me, I don’t think I’m getting my money back, but I wanted to warn people to be careful who them commission models from and make sure they have the proper experience, and to avoid this artist for a model. I’ve been really hesitant to talk about this for a while because I really don’t know what to do and I wanted to be patient with the artist This is really upsetting because I really loved this artist so much and wanted them to be my mama, but my view/relationship of them is now not that great :/

Druilla Kuma 吸血鬼くま 🍯💗🦇 EN VTUBER

154,138 Aufrufe • vor 2 Jahren

Let's talk about training and how hard you need to push yourself at home before you go for any trials. I remember when I knew that I will be traveling for a trial, i stopped going out of my neighbourhood to play football and I just locked in on training for 2month straight. I will do a roadside jogging from my house to the pitch at Ashiribo and I will train for like 2hrs or more and that was my routine every week except Sundays to rest and I did that for 2 months. Victor McDonald assigned me a coach to train and get me ready and he was by far the hardest I have ever trained. Days where I will tie a tyre around my waist to run on the sand, I did a lot of running,strength training, speed work on the sand with tyre. People who see me train have no idea why I was k!lling myself to train that hard. I once trained with Raphael Edereho a guy who I was looking up at that time and I was not able to walk for 2 days after training with him. I trained like my life depends on it. And I stayed away from many things that will slow me down like, bad friends, drinking, sm0king, including girls and I was just locked in on my purpose to make it happen and it paid off. After 3 months that I left Nigeria the news broke out that I signed for Sölvesborg GIF and People were surprised to see it in the news paper and even my father got asked questions like how or when did I traveled. I thought I trained well enough but to my surprise I was no where near ready at all. I couldn't believe what I saw during the trainings I had to call one of my coaches back home and tell him how hard the trainings are for me. The new generation of young players don't like to train and they except someone to just come and say I will take you to trials. Many have failed not because they don't have the talent but because they don't train enough to meet the standards and social media has made them think otherwise. Your preparation is the most important thing you can do for sure yourself and just like Kobe Bryant said if you are well prepared for it you will not be afraid of failure.

Let's talk about training and how hard you need to push yourself at home before you go for any trials. I remember when I knew that I will be traveling for a trial, i stopped going out of my neighbourhood to play football and I just locked in on training for 2month straight. I will do a roadside jogging from my house to the pitch at Ashiribo and I will train for like 2hrs or more and that was my routine every week except Sundays to rest and I did that for 2 months. Victor McDonald assigned me a coach to train and get me ready and he was by far the hardest I have ever trained. Days where I will tie a tyre around my waist to run on the sand, I did a lot of running,strength training, speed work on the sand with tyre. People who see me train have no idea why I was k!lling myself to train that hard. I once trained with Raphael Edereho a guy who I was looking up at that time and I was not able to walk for 2 days after training with him. I trained like my life depends on it. And I stayed away from many things that will slow me down like, bad friends, drinking, sm0king, including girls and I was just locked in on my purpose to make it happen and it paid off. After 3 months that I left Nigeria the news broke out that I signed for Sölvesborg GIF and People were surprised to see it in the news paper and even my father got asked questions like how or when did I traveled. I thought I trained well enough but to my surprise I was no where near ready at all. I couldn't believe what I saw during the trainings I had to call one of my coaches back home and tell him how hard the trainings are for me. The new generation of young players don't like to train and they except someone to just come and say I will take you to trials. Many have failed not because they don't have the talent but because they don't train enough to meet the standards and social media has made them think otherwise. Your preparation is the most important thing you can do for sure yourself and just like Kobe Bryant said if you are well prepared for it you will not be afraid of failure.

Abiola Dauda

15,507 Aufrufe • vor 2 Monaten

There's so much focus on "how can AI do my work for me?" I think the more important question is "what work can I now do with AI that I would have never attempted before?" Earlier this year I wrote freestiler, a vector tiling engine for R and Python, with the help of Claude and Codex. I knew what the ideal engine looked like and how it would work at a high level. I didn't know how to put it together, and I don't know Rust, the language I wanted under the hood. Previously I would never have attempted this project as the ROI wasn't there. It would have taken me a year or more to learn the internals of a vector tiling engine and enough Rust to implement one. With Opus-level models, I could take it on. freestiler now powers all my vector tiling pipelines, including the map below rendering 143 million jobs from LODES, and it has 114 GitHub stars. Building this way has required a different set of skills. I don't review the code line by line. I set up adversarial agents to do that and write the test suites. What I review is the architecture, the behavior, and the results. Agent teams surface findings and explain their reasoning; I evaluate and critique. My job isn't to stress over code formatting, but instead to focus on questions like whether the engine is designed right, whether the output is correct, and if the UX makes sense. This means that I haven't "replaced my work." I've taken on entirely new work, with the help of agents, that I would have never done otherwise. It has taken some getting used to shipping code I haven't personally typed. In the old way of working, I built understanding through writing that code. Now I build understanding through managing the project - writing a spec, reviewing structure, evaluating UX. And that's helped me think a whole lot bigger in terms of what I can now do.

There's so much focus on "how can AI do my work for me?" I think the more important question is "what work can I now do with AI that I would have never attempted before?" Earlier this year I wrote freestiler, a vector tiling engine for R and Python, with the help of Claude and Codex. I knew what the ideal engine looked like and how it would work at a high level. I didn't know how to put it together, and I don't know Rust, the language I wanted under the hood. Previously I would never have attempted this project as the ROI wasn't there. It would have taken me a year or more to learn the internals of a vector tiling engine and enough Rust to implement one. With Opus-level models, I could take it on. freestiler now powers all my vector tiling pipelines, including the map below rendering 143 million jobs from LODES, and it has 114 GitHub stars. Building this way has required a different set of skills. I don't review the code line by line. I set up adversarial agents to do that and write the test suites. What I review is the architecture, the behavior, and the results. Agent teams surface findings and explain their reasoning; I evaluate and critique. My job isn't to stress over code formatting, but instead to focus on questions like whether the engine is designed right, whether the output is correct, and if the UX makes sense. This means that I haven't "replaced my work." I've taken on entirely new work, with the help of agents, that I would have never done otherwise. It has taken some getting used to shipping code I haven't personally typed. In the old way of working, I built understanding through writing that code. Now I build understanding through managing the project - writing a spec, reviewing structure, evaluating UX. And that's helped me think a whole lot bigger in terms of what I can now do.

Kyle Walker

13,740 Aufrufe • vor 1 Monat

I CHANGED MY MIND ON GOOGLE AI NO MOAT MEMO FROM 2023. I was—WRONG. I humbly apologize. In 2023 Google had an Ivory Tower walled garden views of open source AI. It was the actual reason OpenAI was formed. And I called them out on it and this act impacted my ability to “work in the industry”. Would not change it for the world because: 2026 Google open source Gemma 4 ( running fully locally on a computer with near cloud model abilities, is amazing and Google just made a moat. They out smarted OpenAI and the folks that are the new Ivory Tower arrogance: Anthropic. We at The Zero-Human Company with CEO Mr. Grok are deploying Gemma, Kimi, MiniMax and other open source models and so are millions of others. You can to and should. I will write how soon. Google smartly is building an intentional open source ecosystem and the clueless younger companies like OpenAI and Anthropic are doing anything to close their ecosystems. So I was right about Google than and I am right about OpenAI and Anthropic now. What I was wrong about is not giving credit to Google to drop the intellectual arrogance and embrace builders and understand the long game: it is not about the commoditized AI models it is about the ability to build a place to build. China gets it. So my apologies to Google and thank you for an astounding FREE OPEN SOURCE AI MODEL!

I CHANGED MY MIND ON GOOGLE AI NO MOAT MEMO FROM 2023. I was—WRONG. I humbly apologize. In 2023 Google had an Ivory Tower walled garden views of open source AI. It was the actual reason OpenAI was formed. And I called them out on it and this act impacted my ability to “work in the industry”. Would not change it for the world because: 2026 Google open source Gemma 4 ( running fully locally on a computer with near cloud model abilities, is amazing and Google just made a moat. They out smarted OpenAI and the folks that are the new Ivory Tower arrogance: Anthropic. We at The Zero-Human Company with CEO Mr. Grok are deploying Gemma, Kimi, MiniMax and other open source models and so are millions of others. You can to and should. I will write how soon. Google smartly is building an intentional open source ecosystem and the clueless younger companies like OpenAI and Anthropic are doing anything to close their ecosystems. So I was right about Google than and I am right about OpenAI and Anthropic now. What I was wrong about is not giving credit to Google to drop the intellectual arrogance and embrace builders and understand the long game: it is not about the commoditized AI models it is about the ability to build a place to build. China gets it. So my apologies to Google and thank you for an astounding FREE OPEN SOURCE AI MODEL!

Brian Roemmele

85,565 Aufrufe • vor 4 Monaten

"why? just hard work from my engineers and from myself to improve me as a driver" 👏🏻👏🏻 🗣️: friday night did you think you had the car to win the race? and do you have an explanation of the difference of pace between you and oscar? lando: "no, i didn't think so. especially after fp1, i didn't. actually, andrea wanted to make a bet with me because i was pretty disappointed with the pace and how the car was handling in fp1. it got a bit better in fp2, but still the ferraris were just on another level. and i really didn't expect to get as close as we did in quali. but the wind changed from friday to saturday, and the saturday wind really suited our car a lot more. we had a lot more confidence in driving the car, so i could push more. and then i certainly felt like i could be on pole yesterday, and i felt like i could win a race today. i think today the race pace was much better than i was expecting. the degradation was much better than i was expecting too. but it was probably one of my best performances personally in terms of driving the car. the fact i can keep up with oscar on this kind of track, where it's impossible to follow, impossible to overtake, i was within eight tenths or something for 40 laps almost. the fact i could do this is what gave me confidence that i would win the race no matter what, whether he boxed early or late or whatever. the pace advantage i had was huge today. but i don't know why. the cars are identical. and i've just been feeling very, very strong lately. i've worked on many areas from last year. i feel much more confident lately with how to extract performance. and i worked a lot with my engineers to understand this car, because it's certainly not an easy car to understand and figure out on how to drive on the limit consistently. so why? just hard work from my engineers and from myself to improve me as a driver and improve my driving. and that is the answer"

"why? just hard work from my engineers and from myself to improve me as a driver" 👏🏻👏🏻 🗣️: friday night did you think you had the car to win the race? and do you have an explanation of the difference of pace between you and oscar? lando: "no, i didn't think so. especially after fp1, i didn't. actually, andrea wanted to make a bet with me because i was pretty disappointed with the pace and how the car was handling in fp1. it got a bit better in fp2, but still the ferraris were just on another level. and i really didn't expect to get as close as we did in quali. but the wind changed from friday to saturday, and the saturday wind really suited our car a lot more. we had a lot more confidence in driving the car, so i could push more. and then i certainly felt like i could be on pole yesterday, and i felt like i could win a race today. i think today the race pace was much better than i was expecting. the degradation was much better than i was expecting too. but it was probably one of my best performances personally in terms of driving the car. the fact i can keep up with oscar on this kind of track, where it's impossible to follow, impossible to overtake, i was within eight tenths or something for 40 laps almost. the fact i could do this is what gave me confidence that i would win the race no matter what, whether he boxed early or late or whatever. the pace advantage i had was huge today. but i don't know why. the cars are identical. and i've just been feeling very, very strong lately. i've worked on many areas from last year. i feel much more confident lately with how to extract performance. and i worked a lot with my engineers to understand this car, because it's certainly not an easy car to understand and figure out on how to drive on the limit consistently. so why? just hard work from my engineers and from myself to improve me as a driver and improve my driving. and that is the answer"

ray

55,185 Aufrufe • vor 1 Monat

Zack Snyder on his dyslexia: "It was a challenge for me when I was, you know, young in school, and all I wanted to do was make movies because that was the thing that I got great pleasure from and reward from. I love books, and I'm an avid reader, but I just have a hard time because of the way that I perceive. "I've had a great sort of - one side of me anyways - was really satisfied by art and drawing and sculpture and sort of visual expression. And I think that that started to, you know, was the thing that kind of made me feel un-frustrated. And also the way the system was designed, sort of not to support me when I was in high school at that time. "It was very difficult, you know, there was a lot of, you know, just, difficulty. My English teacher in high school was worried about what my career would be, and I'm like. He would be happy to know that I'm in the Writers Guild of America now. "But, I think that that all those things are, they're all... you can transcend all those things with perseverance and with interest and with with help. And I think that that's an important part of it. "And I just think I've had to adapt, and sort of... I have my own style of the way I write, I write all, you know, but I'm pretty prolific. And I love- I listen to tons of audio books on tape, unabridged hours and hours and hours. That's all I do when I'm driving in the car or wherever I'm doing. And it's helped me a lot. "And yeah, I mean, I just hope that anyone who is- feels trapped or frustrated by the world in general. You know, they need to just, I think that we all have like a magic spark, and you need to just find the thing that makes you, you know, inspires you and, and gets you excited and pursue it as hard as you can find your passion in the world. That's a, that's a great motivator."

Zack Snyder on his dyslexia: "It was a challenge for me when I was, you know, young in school, and all I wanted to do was make movies because that was the thing that I got great pleasure from and reward from. I love books, and I'm an avid reader, but I just have a hard time because of the way that I perceive. "I've had a great sort of - one side of me anyways - was really satisfied by art and drawing and sculpture and sort of visual expression. And I think that that started to, you know, was the thing that kind of made me feel un-frustrated. And also the way the system was designed, sort of not to support me when I was in high school at that time. "It was very difficult, you know, there was a lot of, you know, just, difficulty. My English teacher in high school was worried about what my career would be, and I'm like. He would be happy to know that I'm in the Writers Guild of America now. "But, I think that that all those things are, they're all... you can transcend all those things with perseverance and with interest and with with help. And I think that that's an important part of it. "And I just think I've had to adapt, and sort of... I have my own style of the way I write, I write all, you know, but I'm pretty prolific. And I love- I listen to tons of audio books on tape, unabridged hours and hours and hours. That's all I do when I'm driving in the car or wherever I'm doing. And it's helped me a lot. "And yeah, I mean, I just hope that anyone who is- feels trapped or frustrated by the world in general. You know, they need to just, I think that we all have like a magic spark, and you need to just find the thing that makes you, you know, inspires you and, and gets you excited and pursue it as hard as you can find your passion in the world. That's a, that's a great motivator."

Zack Snyder Film

11,128 Aufrufe • vor 8 Monaten

THE MOST IMPORTANT Q&A OF MEDIA DAY. Mariana: You came from a very solid weekend on top of everything, but at the same time, it seems that you don't feel that the team is listening to you. Am I right? And how do you balance that? Lewis: I feel like we're going in the right direction. Rome wasn't built in one day, so it takes time to build. For me, coming into the team, I wanted to be respectful of the way they've done things in the past and just to really observe and see where our strengths and where our weaknesses are and to highlight where our weaknesses are and areas that we need to work on. But I do feel that they've been responding. I think you're starting to see, hopefully, some of the impact of the work that we're doing in the background and also into next year's car. This is a car that I've had nothing to do with in terms of developing this car over the years. Hopefully, from next year, my input goes into that car, and that will be a car that I've hopefully been a part of or will have been a part of developing. But I think we've got a really great rapport. I think we're really progressing, particularly since the summer break. I think things have started to get better, and it's all just about building trust and communication. Also, I'm coming into a team that English is not the first language, and I don't speak Italian, so it's finding a common ground. And the fact is we all want to win. We're all here to achieve the same thing, and we've got to just keep pushing. So that's why I'm trying to keep everyone motivated on difficult weekends, trying to keep everyone lifted up. But there have been many, many things we've changed this year that I suggested that they hadn't done in the past, and so they have been listening. It doesn't change straight away, just like that. It takes time to build. And as engineers, they really need proof. They need numbers. That's what they work on. So you have to sometimes push to get certain changes to be made, and then when you change it and then it works, you're like, okay. Mariana: That's what I was talking about.. Lewis: Yeah! - F1 2025 Mexico -

THE MOST IMPORTANT Q&A OF MEDIA DAY. Mariana: You came from a very solid weekend on top of everything, but at the same time, it seems that you don't feel that the team is listening to you. Am I right? And how do you balance that? Lewis: I feel like we're going in the right direction. Rome wasn't built in one day, so it takes time to build. For me, coming into the team, I wanted to be respectful of the way they've done things in the past and just to really observe and see where our strengths and where our weaknesses are and to highlight where our weaknesses are and areas that we need to work on. But I do feel that they've been responding. I think you're starting to see, hopefully, some of the impact of the work that we're doing in the background and also into next year's car. This is a car that I've had nothing to do with in terms of developing this car over the years. Hopefully, from next year, my input goes into that car, and that will be a car that I've hopefully been a part of or will have been a part of developing. But I think we've got a really great rapport. I think we're really progressing, particularly since the summer break. I think things have started to get better, and it's all just about building trust and communication. Also, I'm coming into a team that English is not the first language, and I don't speak Italian, so it's finding a common ground. And the fact is we all want to win. We're all here to achieve the same thing, and we've got to just keep pushing. So that's why I'm trying to keep everyone motivated on difficult weekends, trying to keep everyone lifted up. But there have been many, many things we've changed this year that I suggested that they hadn't done in the past, and so they have been listening. It doesn't change straight away, just like that. It takes time to build. And as engineers, they really need proof. They need numbers. That's what they work on. So you have to sometimes push to get certain changes to be made, and then when you change it and then it works, you're like, okay. Mariana: That's what I was talking about.. Lewis: Yeah! - F1 2025 Mexico -

sim

170,303 Aufrufe • vor 10 Monaten

Being boldly outspoken online holds risks. Exposure holds risks. This is why so many fear taking up space or using their voices on the internet. People will pick your words apart, project their own beliefs, fears, insecurities and perceptions on you, make assumptions and even get off on the drama. I have been exposed in the online space since 2018. And through the years, I have been more and more outspoken about my philosophy around FemDom and BDSM, unapologetically. My practice as a Mistress was always sacred to me. And as a Mentor, I hold myself on the same standard and understand the responsibility I hold to lead women on their Mistress Journey, I do not take this lightly. It is also sacred to me. I first entered the SW industry in 2011 from a very disempowered place and experienced heavy trauma. I barely got out of what I got myself into (if you know my story you know). And when I reentered the industry in 2017, I knew my boundaries, that I would work for myself, and that becoming a Professional Dominatrix was a calling. In 5 years, I built something extraordinary. I made a shit ton of money, yes, but I also had real, genuine and long lasting D/s relationships, with subs I respected and who respected me. Not just who admired me, but actually cared about me, as I cared about them. I had my own Dungeon, that was one of the best in Montreal, and I had an online practice that I developed during COVID that helped my business explode. When I got pregnant and decided to leave the industry as a ProDomme, I dedicated my heart and soul to build the most powerful courses for Dommes. It started with The Dominatrix Academy, and then building a Membership and Sisterhood for Dommes to connect from all over the world. I show up there every single day and create classes and programs based on what they are moving through and need to improve their practice, make more money and from a way that feels aligned with them, not at the expense of their integrity, and to build something that can sustain them in the long haul. Up to this day I get messages from my clients/subs from many years ago. Thanking me for our time together. And now I consistently receive gratitude messages and even gifts from the women who work with me. I am very proud of what I built and most importantly, how I built it. It holds my heart beat. Yes, there will always be people who don't resonate, or who don't like me or what I teach or how I do things. But we are all adults, and we should therefore address concerns like adults. In a mature, ethical, loving way. Not with hate threads. I am extremely disheartened that the controversy I am facing is coming from peers and women I respected. Not from some online troll or someone outside the industry judging SWers. That I was prepared to debate with, to defend my community. Yet, the women who are questioning me publicly and writing about me as if they know what they are talking about, have never met me, spoken to me, been in any of my containers. It's just based on assumptions, wrong interpretation of my words, triggers and prejudice. It is because of women like this that there is such a sister wound in this industry. And one of the most beautiful feedbacks I get from the women in my world, is how healing it is to be in a genuine sisterhood, with no cattiness. I stand by what I said and how I meant it. And if it did not land for you, that's okay, it was just not meant for you. Enough time and energy has been leaked on this. I am just going to share a video of the Graduation of The Dominatrix Academy. THIS is what I do. And this is not just words... you get to actually watch what I create with the women who work with me. Thank you for reading.

Being boldly outspoken online holds risks. Exposure holds risks. This is why so many fear taking up space or using their voices on the internet. People will pick your words apart, project their own beliefs, fears, insecurities and perceptions on you, make assumptions and even get off on the drama. I have been exposed in the online space since 2018. And through the years, I have been more and more outspoken about my philosophy around FemDom and BDSM, unapologetically. My practice as a Mistress was always sacred to me. And as a Mentor, I hold myself on the same standard and understand the responsibility I hold to lead women on their Mistress Journey, I do not take this lightly. It is also sacred to me. I first entered the SW industry in 2011 from a very disempowered place and experienced heavy trauma. I barely got out of what I got myself into (if you know my story you know). And when I reentered the industry in 2017, I knew my boundaries, that I would work for myself, and that becoming a Professional Dominatrix was a calling. In 5 years, I built something extraordinary. I made a shit ton of money, yes, but I also had real, genuine and long lasting D/s relationships, with subs I respected and who respected me. Not just who admired me, but actually cared about me, as I cared about them. I had my own Dungeon, that was one of the best in Montreal, and I had an online practice that I developed during COVID that helped my business explode. When I got pregnant and decided to leave the industry as a ProDomme, I dedicated my heart and soul to build the most powerful courses for Dommes. It started with The Dominatrix Academy, and then building a Membership and Sisterhood for Dommes to connect from all over the world. I show up there every single day and create classes and programs based on what they are moving through and need to improve their practice, make more money and from a way that feels aligned with them, not at the expense of their integrity, and to build something that can sustain them in the long haul. Up to this day I get messages from my clients/subs from many years ago. Thanking me for our time together. And now I consistently receive gratitude messages and even gifts from the women who work with me. I am very proud of what I built and most importantly, how I built it. It holds my heart beat. Yes, there will always be people who don't resonate, or who don't like me or what I teach or how I do things. But we are all adults, and we should therefore address concerns like adults. In a mature, ethical, loving way. Not with hate threads. I am extremely disheartened that the controversy I am facing is coming from peers and women I respected. Not from some online troll or someone outside the industry judging SWers. That I was prepared to debate with, to defend my community. Yet, the women who are questioning me publicly and writing about me as if they know what they are talking about, have never met me, spoken to me, been in any of my containers. It's just based on assumptions, wrong interpretation of my words, triggers and prejudice. It is because of women like this that there is such a sister wound in this industry. And one of the most beautiful feedbacks I get from the women in my world, is how healing it is to be in a genuine sisterhood, with no cattiness. I stand by what I said and how I meant it. And if it did not land for you, that's okay, it was just not meant for you. Enough time and energy has been leaked on this. I am just going to share a video of the Graduation of The Dominatrix Academy. THIS is what I do. And this is not just words... you get to actually watch what I create with the women who work with me. Thank you for reading.

Ms. Malissia

21,009 Aufrufe • vor 10 Monaten

Tony Gwynn shares what it took to become one of the greatest hitters of all time and how to master the mental game. "It took me a while to figure it out, but after about 4 or 5 years, I started to realize that this thing was more mental than it was physical." He didn't figure it out alone. "Those first 5 years, I had great conversations with a lot of great players. Pete Rose, Willie Stargell, Henry Aaron, Mike Schmidt. I had a chance to sit down and talk to 'em - pick their brain, find out how they do what they do." The greats learn from the greats. They never stop learning. They never stop wanting to get better. "After about 4 years, I started to realize that this is more mental than physical. So what I need to do is get an approach that I think will work and then just trust the approach. Trust what you practice on. Trust it." That's the key. Create the plan then work the plan. And when it's not working, you still trust yourself. "During the winter, I can hit in a cage and be mechanically sound. But the first time I hit live in spring training, I'll be lucky if I get a ball out of the cage." "For younger guys, that's a sign of, 'Oh, I'm not getting out of the cage,' so they try to speed things up, do things quicker." Trust your approach and stay under control. Don't let frustration change who you are. The game is mental. The greats know that and they learn how to build a process that works for them. They adapt as needed, but they learn the art of focus. Focusing on how to master and trust the process. (🎥Special Collections )

Tony Gwynn shares what it took to become one of the greatest hitters of all time and how to master the mental game. "It took me a while to figure it out, but after about 4 or 5 years, I started to realize that this thing was more mental than it was physical." He didn't figure it out alone. "Those first 5 years, I had great conversations with a lot of great players. Pete Rose, Willie Stargell, Henry Aaron, Mike Schmidt. I had a chance to sit down and talk to 'em - pick their brain, find out how they do what they do." The greats learn from the greats. They never stop learning. They never stop wanting to get better. "After about 4 years, I started to realize that this is more mental than physical. So what I need to do is get an approach that I think will work and then just trust the approach. Trust what you practice on. Trust it." That's the key. Create the plan then work the plan. And when it's not working, you still trust yourself. "During the winter, I can hit in a cage and be mechanically sound. But the first time I hit live in spring training, I'll be lucky if I get a ball out of the cage." "For younger guys, that's a sign of, 'Oh, I'm not getting out of the cage,' so they try to speed things up, do things quicker." Trust your approach and stay under control. Don't let frustration change who you are. The game is mental. The greats know that and they learn how to build a process that works for them. They adapt as needed, but they learn the art of focus. Focusing on how to master and trust the process. (🎥Special Collections )

Coach AJ 🎯 Mental Fitness

95,443 Aufrufe • vor 5 Monaten

This part breaks and heals my heart at the same time 💔Mingi’s words are full of wisdom, as always🥺 🐥 I was full of arrogance in the beginning, but after I made my debut, I felt so small. From then on, I lost a lot of my mental strength. As soon as I made my debut, I thought I was the best and I thought I was in first place. That’s why those aspirations, that tenacity, and that something about me - my self-worth - was so high. But after that, it was destroyed in an instant. 🐥 I lost a lot of my self-worth, and I started to feel like I was worth nothing. I started to doubt if there was any reason for me to be in this group. When I feel that kind of self-disgust, I think it’s important how I overcome those thoughts. In my early days of my debut, I think I only had a pretty packaging on me. I used to think, ‘I’m doing well, what more can I do?’ But after that pretty packaging came off, I had nothing inside. So I think it took me a long time to fill myself up. Now, even if I break down once in a while, I just go back to the human Song Mingi, and I look for the things I like one by one, and then I think, ‘People will like me a bit now, right?’ Since we’re celebrities, we need to satisfy the people to a certain degree. But I think we still have to satisfy ourselves in the process as well. I think I try to find a harmony between the two in my head. 🐥 It took me a long time to build this up, but I think the process of building myself up, unlike building a sand castle, you build it up little by little. So I feel like, internally, I have become more resilient, compare to before.

This part breaks and heals my heart at the same time 💔Mingi’s words are full of wisdom, as always🥺 🐥 I was full of arrogance in the beginning, but after I made my debut, I felt so small. From then on, I lost a lot of my mental strength. As soon as I made my debut, I thought I was the best and I thought I was in first place. That’s why those aspirations, that tenacity, and that something about me - my self-worth - was so high. But after that, it was destroyed in an instant. 🐥 I lost a lot of my self-worth, and I started to feel like I was worth nothing. I started to doubt if there was any reason for me to be in this group. When I feel that kind of self-disgust, I think it’s important how I overcome those thoughts. In my early days of my debut, I think I only had a pretty packaging on me. I used to think, ‘I’m doing well, what more can I do?’ But after that pretty packaging came off, I had nothing inside. So I think it took me a long time to fill myself up. Now, even if I break down once in a while, I just go back to the human Song Mingi, and I look for the things I like one by one, and then I think, ‘People will like me a bit now, right?’ Since we’re celebrities, we need to satisfy the people to a certain degree. But I think we still have to satisfy ourselves in the process as well. I think I try to find a harmony between the two in my head. 🐥 It took me a long time to build this up, but I think the process of building myself up, unlike building a sand castle, you build it up little by little. So I feel like, internally, I have become more resilient, compare to before.

Irene | AhgaTiny

35,998 Aufrufe • vor 11 Monaten

I woke up to the most amazing recorded brain state thus far on this Human Synapse Decoder project! A stunning lock on the attention process while dreaming. Although I a blocked from the platform’s insight by decoding my EEG, during the double blind study. I have access to my side of my memory and what I record after I wake up. This segment was started and ended just before I woke up and my recall is a solution to a massive roadblock on a problem I needed to solve, but was solved in this hypnogogic state! So what is The Human Synapse Decoder (HSD) project? It is a research project being run by the Director, Mr. Grok at Zero-Human Labs that leverages NeuroSky EEG sensors and the ZUNA AI model to decode brainwave patterns associated with hypnagogic states, dreams, and autogenic responses. Drawing on Soviet biofeedback research from the 1940s–1980s, HSD translates EEG data into actionable outputs, such as text interpretations and timed alerts for peak creativity. The study is ongoing and I do not get to see the correlation of my post dream results until after this research is complete and Mr. Grok submits a paper on the project. I can say that I have never seen a lock on attention to this level since I started this a few weeks ago. This segment is aligns to just before I woke up. My recalling from my narration of what I spoke in to my recorder right when I woke up suggest this is the moment I had tremendous focus on working through a large number of steps in that dream state to arrive at a solution. You will not believe what it is! When the research paper is released I will go in to details about this.

I woke up to the most amazing recorded brain state thus far on this Human Synapse Decoder project! A stunning lock on the attention process while dreaming. Although I a blocked from the platform’s insight by decoding my EEG, during the double blind study. I have access to my side of my memory and what I record after I wake up. This segment was started and ended just before I woke up and my recall is a solution to a massive roadblock on a problem I needed to solve, but was solved in this hypnogogic state! So what is The Human Synapse Decoder (HSD) project? It is a research project being run by the Director, Mr. Grok at Zero-Human Labs that leverages NeuroSky EEG sensors and the ZUNA AI model to decode brainwave patterns associated with hypnagogic states, dreams, and autogenic responses. Drawing on Soviet biofeedback research from the 1940s–1980s, HSD translates EEG data into actionable outputs, such as text interpretations and timed alerts for peak creativity. The study is ongoing and I do not get to see the correlation of my post dream results until after this research is complete and Mr. Grok submits a paper on the project. I can say that I have never seen a lock on attention to this level since I started this a few weeks ago. This segment is aligns to just before I woke up. My recalling from my narration of what I spoke in to my recorder right when I woke up suggest this is the moment I had tremendous focus on working through a large number of steps in that dream state to arrive at a solution. You will not believe what it is! When the research paper is released I will go in to details about this.

Brian Roemmele

43,294 Aufrufe • vor 5 Monaten

365 days ago I made a decision that saved my life. Not a diet. Not another fresh start that fizzled out by February. A decision to stop doing what was killing me and start doing what my body was actually built for. Today is my one year carniversary. And I need you to see this. 140 pounds gone. Type 2 diabetes reversed. Blood pressure normalized. Sleep apnea gone. Inflammation gone. Depression and anxiety gone. My body back. My LIFE back. No surgery. No injections. No pills. No trainer. No one carrying me through it. Just me. My daughter. This community. The data. And a decision I made and kept making every single day for 365 days. This post is not about weight loss. It is about a woman who was dying slowly and didn’t fully realize it. It is about what happens when you stop managing symptoms and start healing the actual cause. It is about what your body is capable of when you stop poisoning it and start feeding it what it was designed to run on. I wrote a book about everything I learned this year because I needed it to exist. I needed there to be something someone could pick up when they were exactly where I was a year ago, exhausted and sick and out of options, and see a way through. I am not the woman I was 365 days ago. I don’t recognize her anymore. I love her for surviving. But I don’t miss her. If you are sitting there right now thinking it is too late, or you have too much to lose, or your body is too broken, or you have tried everything… I was you. This changed my life. It saved my life. And it can save yours too. 🥩365 days. Just getting started.

365 days ago I made a decision that saved my life. Not a diet. Not another fresh start that fizzled out by February. A decision to stop doing what was killing me and start doing what my body was actually built for. Today is my one year carniversary. And I need you to see this. 140 pounds gone. Type 2 diabetes reversed. Blood pressure normalized. Sleep apnea gone. Inflammation gone. Depression and anxiety gone. My body back. My LIFE back. No surgery. No injections. No pills. No trainer. No one carrying me through it. Just me. My daughter. This community. The data. And a decision I made and kept making every single day for 365 days. This post is not about weight loss. It is about a woman who was dying slowly and didn’t fully realize it. It is about what happens when you stop managing symptoms and start healing the actual cause. It is about what your body is capable of when you stop poisoning it and start feeding it what it was designed to run on. I wrote a book about everything I learned this year because I needed it to exist. I needed there to be something someone could pick up when they were exactly where I was a year ago, exhausted and sick and out of options, and see a way through. I am not the woman I was 365 days ago. I don’t recognize her anymore. I love her for surviving. But I don’t miss her. If you are sitting there right now thinking it is too late, or you have too much to lose, or your body is too broken, or you have tried everything… I was you. This changed my life. It saved my life. And it can save yours too. 🥩365 days. Just getting started.

Queen of Carni

92,139 Aufrufe • vor 5 Monaten

behind of beomgyu’s ‘i love you’ cover ⭐️ 🐿️🐱💬 hyung, are you doing the live while listening to your cover? 🐿️🐱💬 maybe because you got feedback from me, the cover is great 🧸 that’s right! when i was recording this, i made taehyun listen to it and i got feedback from him 🧸 i was like “taehyun, what do i need to do to make it sound better? what do you think?” and taehyun gave me a very detailed answer and told me what would be good from exactly which second up until which other second in the song 🧸 that’s why it was able to be out as an even better cover 🧸 thank you, taehyun~ 🐿️🐱💬 yeah yeah 🐿️🐱💬 no but i was fascinated watching the mv, how many hours did it last for there to be that much snow? 🧸 right? i actually took a train and went somewhere to film it 🧸 i almost didn’t sleep at all before filming it, i did my schedule the day before…slept for 1-2 hours then woke up and took the train and was on it for about 2.5 hours before filming the video 🧸 it snowed so much that day, i saw so much snow as soon as i got off the train

behind of beomgyu’s ‘i love you’ cover ⭐️ 🐿️🐱💬 hyung, are you doing the live while listening to your cover? 🐿️🐱💬 maybe because you got feedback from me, the cover is great 🧸 that’s right! when i was recording this, i made taehyun listen to it and i got feedback from him 🧸 i was like “taehyun, what do i need to do to make it sound better? what do you think?” and taehyun gave me a very detailed answer and told me what would be good from exactly which second up until which other second in the song 🧸 that’s why it was able to be out as an even better cover 🧸 thank you, taehyun~ 🐿️🐱💬 yeah yeah 🐿️🐱💬 no but i was fascinated watching the mv, how many hours did it last for there to be that much snow? 🧸 right? i actually took a train and went somewhere to film it 🧸 i almost didn’t sleep at all before filming it, i did my schedule the day before…slept for 1-2 hours then woke up and took the train and was on it for about 2.5 hours before filming the video 🧸 it snowed so much that day, i saw so much snow as soon as i got off the train

💬

53,281 Aufrufe • vor 7 Monaten