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If you're looking for a weekend project, how about training your own text-to-speech model from scratch on your own GPU, and then running it on any device's CPU? We just open-sourced the entire Pocket TTS training stack: data pipeline, recipes, and evals. It learns pretty damn fast: ~15k steps:...

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kyutai

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94,169 просмотров • 1 день назад •via X (Twitter)

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“don’t train your own model” is common ai advice. it's wrong. your token bill's the proof. today, we’re excited to launch castform into open preview. castform is the easiest way for you to train your own model, on your own data. open-weights models are performant and much cheaper. when trained on your task & proprietary data, they beat closed models. the thing standing between you and that was weeks of plumbing & years of ml expertise. with castform, model training is as simple as prompt engineering. castform bring your agent traces or raw corpora. castform turns it into training data, picks the right algorithmic recipes, manages gpus, and gives you an ide to watch and chat with your model as it learns. see what you can build with castform👇
2:23

“don’t train your own model” is common ai advice. it's wrong. your token bill's the proof. today, we’re excited to launch castform into open preview. castform is the easiest way for you to train your own model, on your own data. open-weights models are performant and much cheaper. when trained on your task & proprietary data, they beat closed models. the thing standing between you and that was weeks of plumbing & years of ml expertise. with castform, model training is as simple as prompt engineering. castform bring your agent traces or raw corpora. castform turns it into training data, picks the right algorithmic recipes, manages gpus, and gives you an ide to watch and chat with your model as it learns. see what you can build with castform👇

girish

459,443 просмотров • 2 месяцев назад

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 🧵↓
0:41

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 просмотров • 7 месяцев назад

Introducing FlowSpeech: The World’s First TTS to Turn Written Text into Natural Speech Every other TTS service on the market today simply reads the text word-for-word. It’s like giving a presentation by just reading your PowerPoint slides out loud. It doesn’t work. You need to present it naturally, in your own words. And that’s the principle behind FlowSpeech. FlowSpeech is the world’s first TTS that can transform formal written text into conversational, spoken language. A TTS that actually sounds human. That might sound a bit abstract, so let your ears be the judge.
1:26

Introducing FlowSpeech: The World’s First TTS to Turn Written Text into Natural Speech Every other TTS service on the market today simply reads the text word-for-word. It’s like giving a presentation by just reading your PowerPoint slides out loud. It doesn’t work. You need to present it naturally, in your own words. And that’s the principle behind FlowSpeech. FlowSpeech is the world’s first TTS that can transform formal written text into conversational, spoken language. A TTS that actually sounds human. That might sound a bit abstract, so let your ears be the judge.

ListenHub

57,440 просмотров • 1 год назад

We just made the Warp API and MCP completely free. Most HR platforms make you sit through a sales call and a questionnaire just to reach your own data. We think that's backwards. You can pull your entire company and employee data, time off, compensation, payroll, IT, basically anything in Warp. Build your own dashboards. Connect Warp to your internal systems. Run your own automations on top of your data. We built this because our customers are technical and AI-native. They don't want to stare at a dashboard. They want to build on top of their data. Legacy platforms silo it on purpose, and the API, when it exists at all, is a pricey add-on buried behind a sales process. We shipped the API eight weeks ago, and some of our top customers have already built real tools on top of Warp. Today we're removing the last barrier to doing that. If you're an AI-native founder, exec, CIO, or Chief People Officer who's been duct taping this together, the API and MCP are now included free on most plans. On Enterprise, a small fee unlocks the more powerful version with uptime SLAs, webhooks, and audit logs. Your data should be yours. Excited to see what you build with it.
1:23

We just made the Warp API and MCP completely free. Most HR platforms make you sit through a sales call and a questionnaire just to reach your own data. We think that's backwards. You can pull your entire company and employee data, time off, compensation, payroll, IT, basically anything in Warp. Build your own dashboards. Connect Warp to your internal systems. Run your own automations on top of your data. We built this because our customers are technical and AI-native. They don't want to stare at a dashboard. They want to build on top of their data. Legacy platforms silo it on purpose, and the API, when it exists at all, is a pricey add-on buried behind a sales process. We shipped the API eight weeks ago, and some of our top customers have already built real tools on top of Warp. Today we're removing the last barrier to doing that. If you're an AI-native founder, exec, CIO, or Chief People Officer who's been duct taping this together, the API and MCP are now included free on most plans. On Enterprise, a small fee unlocks the more powerful version with uptime SLAs, webhooks, and audit logs. Your data should be yours. Excited to see what you build with it.

Ayush S

730,614 просмотров • 2 месяцев назад

I built a service desk agent using ElevenLabs’ new Conversational AI Agents feature. Watch the video to see how responsive it is! Previously, I used ElevenLabs for cloning my voice and used my generated voice for narrations in some of my youtube videos. This feature takes elevenlabs' voice AI to a whole new level! It simplifies systems that used to require separate TTS (text-to-speech) and STT (speech-to-text) processes for both sides of the conversation. Now, it’s much simpler! Create your own agent here What will you create with this?
3:29

I built a service desk agent using ElevenLabs’ new Conversational AI Agents feature. Watch the video to see how responsive it is! Previously, I used ElevenLabs for cloning my voice and used my generated voice for narrations in some of my youtube videos. This feature takes elevenlabs' voice AI to a whole new level! It simplifies systems that used to require separate TTS (text-to-speech) and STT (speech-to-text) processes for both sides of the conversation. Now, it’s much simpler! Create your own agent here What will you create with this?

Melvin Vivas

27,722 просмотров • 1 год назад

Voice agents are awkward, and everyone notices: You ask a question. The agent thinks. You wait. And wait... Nobody wants this. I'd rather talk to a person. If your model's response time is over 300ms, you won't make it. Unfortunately, most text-to-speech models can't get anywhere close to that. I want you to take a look at the latest model released by Inworld AI: TTS-1.5. I built a simple voice agent using the model so you can see it in action and test it on your computer. You'll find the repository link below. The latency numbers of this model are wild: • Max model → under 250ms • Mini model → under 130ms That's 4x faster than prior generations and faster than human response times!
5:09

Voice agents are awkward, and everyone notices: You ask a question. The agent thinks. You wait. And wait... Nobody wants this. I'd rather talk to a person. If your model's response time is over 300ms, you won't make it. Unfortunately, most text-to-speech models can't get anywhere close to that. I want you to take a look at the latest model released by Inworld AI: TTS-1.5. I built a simple voice agent using the model so you can see it in action and test it on your computer. You'll find the repository link below. The latency numbers of this model are wild: • Max model → under 250ms • Mini model → under 130ms That's 4x faster than prior generations and faster than human response times!

Santiago

69,451 просмотров • 7 месяцев назад

🚨Governor DeSantis applauds the Florida House for addressing property taxes but says his plan is NOT going to happen in regular session, but he will call a SPECIAL SESSION. “It's going to get done and you guys are going to be able to go to the polls and be able to vote something that's really meaningful. I just think at the end of the day, your home is your castle. You either own it or you don't, right? And if you have to keep paying tax to the government your whole life just to live on your own property, do you really own it then if they can take it back from you if you don't pay?”
6:08

🚨Governor DeSantis applauds the Florida House for addressing property taxes but says his plan is NOT going to happen in regular session, but he will call a SPECIAL SESSION. “It's going to get done and you guys are going to be able to go to the polls and be able to vote something that's really meaningful. I just think at the end of the day, your home is your castle. You either own it or you don't, right? And if you have to keep paying tax to the government your whole life just to live on your own property, do you really own it then if they can take it back from you if you don't pay?”

Chris Nelson 🏝️🇺🇸

31,667 просмотров • 6 месяцев назад

New video series: How to Amiko In this series, we’ll walk you through how to use the Amiko site, from onboarding your twin to exploring everything live inside our Beta. Episode 2: Train Your Twin Once you create your social and behavioral twin, shape what it knows about you and how it understands you in Training Chats. Training your twin builds depth: this is where you give it your personal traits, memories, preferences, history. This is where it learns specific, personal information about you, always controlled by you. Training teaches your twin more about you, beyond the social and behavioral layer, and keeps you in control of the data the twin has access to. Without training, your twin will act like the oldest child in a large family. With training, it will know you were the oldest of five siblings, and any additional details you wish to disclose.
1:18

New video series: How to Amiko In this series, we’ll walk you through how to use the Amiko site, from onboarding your twin to exploring everything live inside our Beta. Episode 2: Train Your Twin Once you create your social and behavioral twin, shape what it knows about you and how it understands you in Training Chats. Training your twin builds depth: this is where you give it your personal traits, memories, preferences, history. This is where it learns specific, personal information about you, always controlled by you. Training teaches your twin more about you, beyond the social and behavioral layer, and keeps you in control of the data the twin has access to. Without training, your twin will act like the oldest child in a large family. With training, it will know you were the oldest of five siblings, and any additional details you wish to disclose.

AMIKO

18,965 просмотров • 9 месяцев назад

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?
0:57

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 просмотров • 6 месяцев назад

GPT 5.6 SOL IS HERE! How to run your personal + business life with GPT 5.6 Sol + Codex (full 49 min masterclass) We tested it for 30 days and the video it's the CLEAREST look at the FUTURE of work: Here's what's possible once you set it up: 1. Your inbox becomes cards every morning, each with a summary and a reply drafted in your own voice. Y 2. Your Slack, meeting notes, and company updates can turn into one daily feed with a clear next action. It learns what you care about over time and rewrites its own prompts to get sharper. 3. You can give your agent its own email address, so your other tools and even your team's Slack bot email it directly and it just handles things. 4. You can have it watch you do a task once and turn it into a skill it repeats forever. 5. You can set a long goal and walk away. You can have it run for 20 hours straight, and fine-tune your own models, something that was out of reach for non-engineers 12 months ago. How to start: Open Codex, give it access to your computer, and ask it to suggest things it could do for you based on how you already work. Full episode on The Startup Ideas Podcast (SIP) 🧃 (thanks Dan Shipper 📧 for sharing your entire workflow and review of GPT 5.6) Start with one boring task, get it working, and build from there. You'll learn exactly how to make something similar. GPT 5.6 Sol is impressive. Sol (according to openAI benchmarks) is the best coding model out right now. It set a new state of the art on Terminal-Bench 2.1 at 88.8%, and its "ultra mode" hits 91.9%, beating Claude Opus 4.8, Fable 5, and even Mythos 5 this masterclass is 100% free, like always. For more The Startup Ideas Podcast (SIP) 🧃 Watch
49:16

GPT 5.6 SOL IS HERE! How to run your personal + business life with GPT 5.6 Sol + Codex (full 49 min masterclass) We tested it for 30 days and the video it's the CLEAREST look at the FUTURE of work: Here's what's possible once you set it up: 1. Your inbox becomes cards every morning, each with a summary and a reply drafted in your own voice. Y 2. Your Slack, meeting notes, and company updates can turn into one daily feed with a clear next action. It learns what you care about over time and rewrites its own prompts to get sharper. 3. You can give your agent its own email address, so your other tools and even your team's Slack bot email it directly and it just handles things. 4. You can have it watch you do a task once and turn it into a skill it repeats forever. 5. You can set a long goal and walk away. You can have it run for 20 hours straight, and fine-tune your own models, something that was out of reach for non-engineers 12 months ago. How to start: Open Codex, give it access to your computer, and ask it to suggest things it could do for you based on how you already work. Full episode on The Startup Ideas Podcast (SIP) 🧃 (thanks Dan Shipper 📧 for sharing your entire workflow and review of GPT 5.6) Start with one boring task, get it working, and build from there. You'll learn exactly how to make something similar. GPT 5.6 Sol is impressive. Sol (according to openAI benchmarks) is the best coding model out right now. It set a new state of the art on Terminal-Bench 2.1 at 88.8%, and its "ultra mode" hits 91.9%, beating Claude Opus 4.8, Fable 5, and even Mythos 5 this masterclass is 100% free, like always. For more The Startup Ideas Podcast (SIP) 🧃 Watch

GREG ISENBERG

155,899 просмотров • 1 месяц назад

I just inscribed the CRAWL module to Termina! You can now crawl the OCI to find Bitmap districts with reinscriptions or children! GO TO: TRY: > crawl bitmap This will take a long time, but don't worry! I already did it for you. Bring your own data: Let's work together to keep this dataset updated. You can crawl ranges (for example, of your own bitmaps) and submit a pull request. It took me about 7 hours to crawl all of bitmap with about 15 windows open each running on a range. It would've taken about 10 days with just one window! Definitely some improvements that can be made in performance for the future, but so now we have at least made it possible! And it is mind-blowing what we will be able to do with this data. Stay tuned later this week to find out how we can piggyback off this data to build powerful tools on-chain!
2:05

I just inscribed the CRAWL module to Termina! You can now crawl the OCI to find Bitmap districts with reinscriptions or children! GO TO: TRY: > crawl bitmap This will take a long time, but don't worry! I already did it for you. Bring your own data: Let's work together to keep this dataset updated. You can crawl ranges (for example, of your own bitmaps) and submit a pull request. It took me about 7 hours to crawl all of bitmap with about 15 windows open each running on a range. It would've taken about 10 days with just one window! Definitely some improvements that can be made in performance for the future, but so now we have at least made it possible! And it is mind-blowing what we will be able to do with this data. Stay tuned later this week to find out how we can piggyback off this data to build powerful tools on-chain!

bitoshi blockamoto 🧱 BITMAP 🟧

23,686 просмотров • 10 месяцев назад

here's what we built at the Sarvam x GrowthX hackathon! > an interactive, voice-first game where you learn new languages through everyday conversations > our insight was that not everyone needs to master a language - they only need a few sentences, useful in everyday situations > you can choose your region (like Bengaluru), and the level of difficulty according to which your interactions are based > it then guides you on what to say in a given situation, like booking an auto > it grades on you how well you spoke, what you missed, progressively getting difficult with more levels didn't make it to the top 15, but hey we had fun :) Sarvam for Developers's TTS-STT stack is definitely some of the best in the world currently.
2:03

here's what we built at the Sarvam x GrowthX hackathon! > an interactive, voice-first game where you learn new languages through everyday conversations > our insight was that not everyone needs to master a language - they only need a few sentences, useful in everyday situations > you can choose your region (like Bengaluru), and the level of difficulty according to which your interactions are based > it then guides you on what to say in a given situation, like booking an auto > it grades on you how well you spoke, what you missed, progressively getting difficult with more levels didn't make it to the top 15, but hey we had fun :) Sarvam for Developers's TTS-STT stack is definitely some of the best in the world currently.

Parth

51,735 просмотров • 29 дней назад

Stop Duffing Your Wedges !! If you try and apply what you do in the long game to a 50-yard pitch shot you are in trouble. When it comes to this yardage and under it’s about finesse We need a different motion to tap into our feel. If you are patient with the transition, allowing your arms to drop this will not only help you soften things up and feel more but it will also help you use the leading edge and bounce through the turf. This feel of TURN, DROP and CATCH it with the body has been game changing for our students and my own game. #golftips #golf
0:25

Stop Duffing Your Wedges !! If you try and apply what you do in the long game to a 50-yard pitch shot you are in trouble. When it comes to this yardage and under it’s about finesse We need a different motion to tap into our feel. If you are patient with the transition, allowing your arms to drop this will not only help you soften things up and feel more but it will also help you use the leading edge and bounce through the turf. This feel of TURN, DROP and CATCH it with the body has been game changing for our students and my own game. #golftips #golf

Me and My Golf

114,703 просмотров • 1 год назад

Introducing DuoNano🐸 Become the star of your own epic language adventure. -Just upload a pic of yourself or any character you like and dive right into the story in our Adventure Mode🐸 -One second you're wandering a lively market in Mexico City, the next you're uncovering some ancient temple in Kyoto, and through it all, it's still totally you in the mix. -Use your camera to upload pictures with Visual Vocabulary to learn how to say anything in a new language! Our visual model will detect the objects in the image and explain it to you in whatever language you select. -If you want to test your mettle, try the conversation practice tutor to test your skills against a native speaking AI. Try DN today. You're gonna love it. Link Below 👇
0:47

Introducing DuoNano🐸 Become the star of your own epic language adventure. -Just upload a pic of yourself or any character you like and dive right into the story in our Adventure Mode🐸 -One second you're wandering a lively market in Mexico City, the next you're uncovering some ancient temple in Kyoto, and through it all, it's still totally you in the mix. -Use your camera to upload pictures with Visual Vocabulary to learn how to say anything in a new language! Our visual model will detect the objects in the image and explain it to you in whatever language you select. -If you want to test your mettle, try the conversation practice tutor to test your skills against a native speaking AI. Try DN today. You're gonna love it. Link Below 👇

bone

40,423 просмотров • 11 месяцев назад

Do you know the pain of wanting to send a client an invoice, then you have to open your laptop, find your invoice document and start typing it in Or if you're one of those who use Canva for it You need an invoice and you need it in 3 minutes so you can close a deal I GOT YOU, I will show you how I made an invoice for my company using AI and then created a Webapp for it, the WebApp installs like an android app and I can open it and use anytime without internet. That's the next video Let me show you how I did my own P.S: It was my first time, so we do it together... Video dropping soon
2:36

Do you know the pain of wanting to send a client an invoice, then you have to open your laptop, find your invoice document and start typing it in Or if you're one of those who use Canva for it You need an invoice and you need it in 3 minutes so you can close a deal I GOT YOU, I will show you how I made an invoice for my company using AI and then created a Webapp for it, the WebApp installs like an android app and I can open it and use anytime without internet. That's the next video Let me show you how I did my own P.S: It was my first time, so we do it together... Video dropping soon

Richard U. | Web Developer

26,235 просмотров • 28 дней назад

I just inscribed the FILTER module to Termina! You can now SEARCH and FILTER bitmap content and fields, powered by CRAWL and the WORLDTREE data! Go to: Try > filter content bitoshi blockamoto > filter type audio > filter address skynet > filter (type image) (timestamp 2023) > filter help Make sure you have the latest snapshot from WORLDTREE, or have run your own CRAWL and WORLDTREE (warning - these take a long time! I'll be looking into ways to make running these more accessible). Bring your own data: The help menu is your friend here! Please try as much as you can. You can filter single values, or multiple things at the same time with parenthesis. I've found so many inscriptions on Bitmap this way! Please have fun with it, and if you make a new inscription on Bitmap, be sure to run "crawl bitmap [range]" and "worldtree bitmap full [range]" on your district so you can search & filter, and make sure to add it to github via a pull request. This way we can share the latest snapshot data. If you want to build your own dataset, try using CRAWL and WORLDTREE. I warn you though, the CRAWL module especially will take days if you don't have 18 windows open each scanning a range (in which case it will take about 8 hours). The WORLDTREE module takes about 8 hours with just one window open, so probably can accellerate the speed with multiple windows. This is why it's easier to piggyback off the github snapshots, but in the future these scans will be baked into the fabric of the operating system, automatically updated by users exploration and constantly scanning in the background (if turned on). Maybe there's some synergy to be had in this regard with ZmAKin_1981.🟧 extension to make sure we always have latest data. Anyway, that's all for now folks! Please share your findings.
2:19

I just inscribed the FILTER module to Termina! You can now SEARCH and FILTER bitmap content and fields, powered by CRAWL and the WORLDTREE data! Go to: Try > filter content bitoshi blockamoto > filter type audio > filter address skynet > filter (type image) (timestamp 2023) > filter help Make sure you have the latest snapshot from WORLDTREE, or have run your own CRAWL and WORLDTREE (warning - these take a long time! I'll be looking into ways to make running these more accessible). Bring your own data: The help menu is your friend here! Please try as much as you can. You can filter single values, or multiple things at the same time with parenthesis. I've found so many inscriptions on Bitmap this way! Please have fun with it, and if you make a new inscription on Bitmap, be sure to run "crawl bitmap [range]" and "worldtree bitmap full [range]" on your district so you can search & filter, and make sure to add it to github via a pull request. This way we can share the latest snapshot data. If you want to build your own dataset, try using CRAWL and WORLDTREE. I warn you though, the CRAWL module especially will take days if you don't have 18 windows open each scanning a range (in which case it will take about 8 hours). The WORLDTREE module takes about 8 hours with just one window open, so probably can accellerate the speed with multiple windows. This is why it's easier to piggyback off the github snapshots, but in the future these scans will be baked into the fabric of the operating system, automatically updated by users exploration and constantly scanning in the background (if turned on). Maybe there's some synergy to be had in this regard with ZmAKin_1981.🟧 extension to make sure we always have latest data. Anyway, that's all for now folks! Please share your findings.

bitoshi blockamoto 🧱 BITMAP 🟧

16,472 просмотров • 10 месяцев назад

🚨ELON ON OPTIMUS: OWN YOUR OWN PERSONAL ROBOT FOR LESS THAN A CAR "Anyone could own an Optimus robot, your own personal R2D2 or C3PO. At scale, it will likely cost $20,000 to $30,000—probably less than a car in the long term. What can it do? Anything you want—be a teacher, babysit your kids, walk your dog, mow your lawn, get groceries, serve drinks, or just be your friend. Whatever you can think of, it will do." Source: Tesla
0:54

🚨ELON ON OPTIMUS: OWN YOUR OWN PERSONAL ROBOT FOR LESS THAN A CAR "Anyone could own an Optimus robot, your own personal R2D2 or C3PO. At scale, it will likely cost $20,000 to $30,000—probably less than a car in the long term. What can it do? Anything you want—be a teacher, babysit your kids, walk your dog, mow your lawn, get groceries, serve drinks, or just be your friend. Whatever you can think of, it will do." Source: Tesla

Mario Nawfal

739,299 просмотров • 1 год назад

Most AI tools today are just command-takers. You type, it responds. You click, it executes. There's truly no learning, no memory, no adaptation. You're still doing most of the work. Which is why Miles by Avo on Solana would make so much sense if built well. From what I understand so far, miles learns about you over time, adapts to how you operate, and figures out the tools you struggle to navigate on your own. Less clicking, more conversation, the more you use it, the better it gets at working with you, not just for you. That shift from command-follower to learning companion is bigger than it sounds. It's the difference between a tool and an agent that actually knows you. The second one is Agent Grid and this one is for builders and power users. But as I mentioned in this video, I'm still studying the Agent Grid. I'd come talk about it once I learn properly about it. Souren just keeps shipping!
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Most AI tools today are just command-takers. You type, it responds. You click, it executes. There's truly no learning, no memory, no adaptation. You're still doing most of the work. Which is why Miles by Avo on Solana would make so much sense if built well. From what I understand so far, miles learns about you over time, adapts to how you operate, and figures out the tools you struggle to navigate on your own. Less clicking, more conversation, the more you use it, the better it gets at working with you, not just for you. That shift from command-follower to learning companion is bigger than it sounds. It's the difference between a tool and an agent that actually knows you. The second one is Agent Grid and this one is for builders and power users. But as I mentioned in this video, I'm still studying the Agent Grid. I'd come talk about it once I learn properly about it. Souren just keeps shipping!

Sir Khaycee

20,419 просмотров • 5 месяцев назад

Don't use ChatGPT for academic writing. It may get flagged as AI-generated text. Instead, use Paperpal — an AI-powered personal writing assistant. Especially if your first language is not English. Think of Paperl as the elder brother of Grammarly, especially designed for academic writing. Go to and sign up. You can either start writing in Paperpal or paste a text you have already written. Paperpal will evaluate your writing and give you detailed suggestions to improve it. If English is not your first language, you can write in your own language and Paperpal will translate it for you. You can also install a Paperpal add-in in MS Word. Click on "Insert" and then "Get Add-ins." Search for the Paperpal add-in, and press "Add." And you will have Paperpal inside MS Word. Paperpal will give you helpful suggestion as you write. You can write in your own language and get Paperpal to translate it into English. Paperpal supports following languages: Bulgarian, Chinese, Czech, Danish, Dutch, Estonian, Finnish, French, German, Greek, Hungarian, Indonesian, Italian, Japanese, Korean, Latvian, Lithuanian, Polish, Portuguese, Romanian, Russian, Slovak, Slovenian, Spanish, Swedish, Turkish, Ukrainian. Please note Paperpal's give you 500 free suggestions a month after which you will have to buy a subscription. If you use it judiciously, you won't have to pay any money. ----- Found this post helpful? 1. Retweet to share it with your friends. 2. Bookmark it so you can come back to it later. 3. Follow me for regular posts on how to supercharge your academic writing with AI-powered apps.
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Don't use ChatGPT for academic writing. It may get flagged as AI-generated text. Instead, use Paperpal — an AI-powered personal writing assistant. Especially if your first language is not English. Think of Paperl as the elder brother of Grammarly, especially designed for academic writing. Go to and sign up. You can either start writing in Paperpal or paste a text you have already written. Paperpal will evaluate your writing and give you detailed suggestions to improve it. If English is not your first language, you can write in your own language and Paperpal will translate it for you. You can also install a Paperpal add-in in MS Word. Click on "Insert" and then "Get Add-ins." Search for the Paperpal add-in, and press "Add." And you will have Paperpal inside MS Word. Paperpal will give you helpful suggestion as you write. You can write in your own language and get Paperpal to translate it into English. Paperpal supports following languages: Bulgarian, Chinese, Czech, Danish, Dutch, Estonian, Finnish, French, German, Greek, Hungarian, Indonesian, Italian, Japanese, Korean, Latvian, Lithuanian, Polish, Portuguese, Romanian, Russian, Slovak, Slovenian, Spanish, Swedish, Turkish, Ukrainian. Please note Paperpal's give you 500 free suggestions a month after which you will have to buy a subscription. If you use it judiciously, you won't have to pay any money. ----- Found this post helpful? 1. Retweet to share it with your friends. 2. Bookmark it so you can come back to it later. 3. Follow me for regular posts on how to supercharge your academic writing with AI-powered apps.

Mushtaq Bilal, PhD

344,425 просмотров • 3 лет назад