Загрузка видео...

Не удалось загрузить видео

Возникла проблема при загрузке этого видео. Это может быть связано с временными проблемами сети или видео может быть недоступно.

На главную

Introducing $JTVO Staking Stake JTVO to fund GPUs that run open-source models for you: automatically, and fully private. Every other model is still one key away on the Jatevo gateway. live on this end of the week

Jatevo

7,518 subscribers

11,902 просмотров • 9 дней назад •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Every new AI model used to mean another account, billing dashboard, eval run, and integration. We built Experiential so it doesn’t. One open source gateway for 1,000+ models across our marketplace and BYOK + local models. No token markup. We’re live on Product Hunt 🚀

Every new AI model used to mean another account, billing dashboard, eval run, and integration. We built Experiential so it doesn’t. One open source gateway for 1,000+ models across our marketplace and BYOK + local models. No token markup. We’re live on Product Hunt 🚀

Silen Naihin

99,735 просмотров • 26 дней назад

Introducing: Auto Private Model Routing on June Choose Low, Balanced, or High. June picks the right model for every request. Defaults to zero data retention and private models. Powered by Venice. Free to try. Open source. MIT. Try June:

Introducing: Auto Private Model Routing on June Choose Low, Balanced, or High. June picks the right model for every request. Defaults to zero data retention and private models. Powered by Venice. Free to try. Open source. MIT. Try June:

OpenSoftware

112,941 просмотров • 2 месяцев назад

☁️ Introducing the Helicone AI Gateway, *now on the cloud* Pass-through billing. Bring your own key. 1 API 100+ models 0% markup 99% uptime And yes, it’s fully open source. Here’s how it works 👇

☁️ Introducing the Helicone AI Gateway, now on the cloud Pass-through billing. Bring your own key. 1 API 100+ models 0% markup 99% uptime And yes, it’s fully open source. Here’s how it works 👇

Justin Torre

35,228 просмотров • 1 год назад

MagenticLite's models are now fully open source. MagenticBrain and Fara 1.5, previously available on Microsoft Foundry, are live on Hugging Face with open weights. The app, the harness, and every model in the stack are now open.

MagenticLite's models are now fully open source. MagenticBrain and Fara 1.5, previously available on Microsoft Foundry, are live on Hugging Face with open weights. The app, the harness, and every model in the stack are now open.

Microsoft Research

19,452 просмотров • 2 месяцев назад

⚡️Introducing Vaults, one of the key components of #StakeWiseV3! Vaults represent non-custodial mini-staking pools that can be deployed by anyone to accept $ETH delegations, run a staking business, and access liquidity for your stake🌊 Learn more ⤵️ (sound 🔊)

⚡️Introducing Vaults, one of the key components of #StakeWiseV3! Vaults represent non-custodial mini-staking pools that can be deployed by anyone to accept $ETH delegations, run a staking business, and access liquidity for your stake🌊 Learn more ⤵️ (sound 🔊)

StakeWise

43,418 просмотров • 3 лет назад

Announcing the Open Model Series: a new series on open source AI models, with merve of Hugging Face. Hugging Face is the open model hub: it hosts model weights, datasets, evals, & demo apps, and maintains the open-source libraries (like transformers) used to run and train them. I think of it like GitHub, but for AI models. You can download open models and run them on your own machines. In this series we'll cover what open source and open weight models are, how they work, how to run them yourself, and why they're important. By the way - this video is edited entirely with Claude! I can make a tutorial on how I did it. If there's a question you want answered about open models, leave it in the comments. We will read them all. Episode 1 is out soon.

Announcing the Open Model Series: a new series on open source AI models, with merve of Hugging Face. Hugging Face is the open model hub: it hosts model weights, datasets, evals, & demo apps, and maintains the open-source libraries (like transformers) used to run and train them. I think of it like GitHub, but for AI models. You can download open models and run them on your own machines. In this series we'll cover what open source and open weight models are, how they work, how to run them yourself, and why they're important. By the way - this video is edited entirely with Claude! I can make a tutorial on how I did it. If there's a question you want answered about open models, leave it in the comments. We will read them all. Episode 1 is out soon.

Harper Carroll

30,392 просмотров • 1 месяц назад

If the engine is strong enough, you should be able to build real products on top of it. That's the whole point of LTX-2.3. Introducing LTX Desktop. A fully local, open-source video editor running directly on the LTX engine, optimized for NVIDIA GPUs and compatible hardware.

If the engine is strong enough, you should be able to build real products on top of it. That's the whole point of LTX-2.3. Introducing LTX Desktop. A fully local, open-source video editor running directly on the LTX engine, optimized for NVIDIA GPUs and compatible hardware.

LTX

954,566 просмотров • 7 месяцев назад

CapIX × SuperGemma We've partnered with SuperGemma to host their model catalog on CapIX GPUs. SuperQwen-Agentworld-35B, SuperHY3, and SuperGemma4-26B-multimodal are now deployable as private OpenAI-compatible endpoints on the CapIX network. Each deploy runs on isolated, decentralized GPU capacity Uncensored open-weight models running end-to-end on fully private compute. Shipped with Jun Song

CapIX × SuperGemma We've partnered with SuperGemma to host their model catalog on CapIX GPUs. SuperQwen-Agentworld-35B, SuperHY3, and SuperGemma4-26B-multimodal are now deployable as private OpenAI-compatible endpoints on the CapIX network. Each deploy runs on isolated, decentralized GPU capacity Uncensored open-weight models running end-to-end on fully private compute. Shipped with Jun Song

CapIX Protocol

23,746 просмотров • 2 месяцев назад

The first truly open-source audio-video model. LTX-2 is a DiT-based foundation model with all core video generation capabilities in one unified model. Designed to run locally on consumer GPUs. - text-to-video - image-to-video - and video-to-video modes 100% open-source.

The first truly open-source audio-video model. LTX-2 is a DiT-based foundation model with all core video generation capabilities in one unified model. Designed to run locally on consumer GPUs. - text-to-video - image-to-video - and video-to-video modes 100% open-source.

Akshay 🚀

66,268 просмотров • 8 месяцев назад

FROM THE LIVE SHOW: Matt Hicks (Matt Hicks), President & CEO of Red Hat, on open source and collaboration. "I love the model that open source provides because it provides this incredible collaboration." "This is why we're passionate about smaller models, because they allow that collaborative, open source ethos to thrive a little bit better than the frontier models."

FROM THE LIVE SHOW: Matt Hicks (Matt Hicks), President & CEO of Red Hat, on open source and collaboration. "I love the model that open source provides because it provides this incredible collaboration." "This is why we're passionate about smaller models, because they allow that collaborative, open source ethos to thrive a little bit better than the frontier models."

Forward Future

12,538 просмотров • 1 год назад

Jason Calacanis: Anthropic, OpenAI and others are trying to kill OpenClaw Why? Because an open source agent platform is an existential threat to frontier model companies. @jason: “ People are going to say I'm a conspiracy theorist, but the number one goal, I believe, in the large language model, frontier model space, is to kill (OpenClaw). This is a giant movement to stop it, because this is the equivalent of having an open source Android-like player in the market, and that could be incredibly disruptive. Because, I believe, open source is going to win the day on the large language models and take 90% of the token usage, and I think the entire frontier model space could be undercut by open source. And I think they realize that SLMs, the smaller language models that are verticalized now, that will run on desktops and laptops and are even starting to run on the top ones, that is their biggest competitive threat, and I hope it happens.”

Jason Calacanis: Anthropic, OpenAI and others are trying to kill OpenClaw Why? Because an open source agent platform is an existential threat to frontier model companies. @jason: “ People are going to say I'm a conspiracy theorist, but the number one goal, I believe, in the large language model, frontier model space, is to kill (OpenClaw). This is a giant movement to stop it, because this is the equivalent of having an open source Android-like player in the market, and that could be incredibly disruptive. Because, I believe, open source is going to win the day on the large language models and take 90% of the token usage, and I think the entire frontier model space could be undercut by open source. And I think they realize that SLMs, the smaller language models that are verticalized now, that will run on desktops and laptops and are even starting to run on the top ones, that is their biggest competitive threat, and I hope it happens.”

The All-In Podcast

64,677 просмотров • 5 месяцев назад

look anon, those of you who kept saying local AI is not there yet, who said open source can't compete, who said you need cloud APIs to get anything serious done, look at this gameplay for one minute. every pixel on this screen was written by one model, in one shot, on a single rtx 3090 with 24gb of vram. the model is qwen 3.6 27b dense q4. the harness is hermes agent. the hardware is a single consumer card you can buy used for 900 dollars. the prompt is open source on github. every claim verifiable, on your own desk. if your local AI take is from 2024, update it. the consumer tier is shipping work that was supposed to need 8 gpus and an api key. open source moved the floor while the rest of the field was busy explaining why it cannot. 24gb tier owners are eating ramen with half boiled egg and double chocolate.

look anon, those of you who kept saying local AI is not there yet, who said open source can't compete, who said you need cloud APIs to get anything serious done, look at this gameplay for one minute. every pixel on this screen was written by one model, in one shot, on a single rtx 3090 with 24gb of vram. the model is qwen 3.6 27b dense q4. the harness is hermes agent. the hardware is a single consumer card you can buy used for 900 dollars. the prompt is open source on github. every claim verifiable, on your own desk. if your local AI take is from 2024, update it. the consumer tier is shipping work that was supposed to need 8 gpus and an api key. open source moved the floor while the rest of the field was busy explaining why it cannot. 24gb tier owners are eating ramen with half boiled egg and double chocolate.

Sudo su

29,584 просмотров • 4 месяцев назад

KNS Staking is officially LIVE on KindSwap - bringing Solana's first true revenue-sharing model to life. Say goodbye to the old way of staking that pays you by minting fresh tokens, growing supply, and ultimately shrinking the value of your bag over time. $KNS Staking changes the game. Stakers get paid directly from the platform's revenue, in $USDC. The staking portal is open. Stake $KNS now : Here's everything you need to know 👇

KNS Staking is officially LIVE on KindSwap - bringing Solana's first true revenue-sharing model to life. Say goodbye to the old way of staking that pays you by minting fresh tokens, growing supply, and ultimately shrinking the value of your bag over time. $KNS Staking changes the game. Stakers get paid directly from the platform's revenue, in $USDC. The staking portal is open. Stake $KNS now : Here's everything you need to know 👇

KindWorld

48,956 просмотров • 1 месяц назад

You can run local AI models up to 120B without a $10,000 Mac Studio This phone-sized device is your own server for open-source models. 100% local and private. And you can use it to: - Power an agent like OpenClaw 24/7 - Completely replace a chatbot - Literally anything that requires an API It’s called Tiiny, and, once again, you can run the latest open-source models on it. Link below

You can run local AI models up to 120B without a $10,000 Mac Studio This phone-sized device is your own server for open-source models. 100% local and private. And you can use it to: - Power an agent like OpenClaw 24/7 - Completely replace a chatbot - Literally anything that requires an API It’s called Tiiny, and, once again, you can run the latest open-source models on it. Link below

Paul Couvert

41,245 просмотров • 6 месяцев назад

Introducing ambientGPT: an open-source and multimodal MacOS foundation model GUI Run GPT-4o and open-source models with full ambient knowledge of your screen. Foundation models have long been confined to the browser. With ambientGPT, your screen context is directly inferred as part of the query, ensuring you never need to explicitly upload context again! Github:

Introducing ambientGPT: an open-source and multimodal MacOS foundation model GUI Run GPT-4o and open-source models with full ambient knowledge of your screen. Foundation models have long been confined to the browser. With ambientGPT, your screen context is directly inferred as part of the query, ensuring you never need to explicitly upload context again! Github:

Siddharth Sharma

193,018 просмотров • 2 лет назад

Introducing VisionPsy-Nano: state-of-the-art vision-language models at 460M parameters, small enough to run on the phone in your pocket. VisionPsy-Nano-460M leads every other ~0.5B vision-language model tested & compares favourably on 16 of 17 benchmarks, tops all four capability categories, and outperforms models up to 2.3x larger. Two variants, one tuned for maximum accuracy and one for real-time responsiveness. Open weights, Apache 2.0, and no cloud in the loop.

Introducing VisionPsy-Nano: state-of-the-art vision-language models at 460M parameters, small enough to run on the phone in your pocket. VisionPsy-Nano-460M leads every other ~0.5B vision-language model tested & compares favourably on 16 of 17 benchmarks, tops all four capability categories, and outperforms models up to 2.3x larger. Two variants, one tuned for maximum accuracy and one for real-time responsiveness. Open weights, Apache 2.0, and no cloud in the loop.

QVAC

15,330,021 просмотров • 2 месяцев назад

Databricks CEO Ali Ghodsi describes the difficulties of building a business around open source: "You have to hit two home runs, consecutively." "Your first home run - and you're banking on hitting that home run - is that your open source project takes over the world. Everybody wants to download it." If you don't hit that home run, Ali says, you just shot yourself in the foot. You just gave away your IP and got nothing back for it. But even if you hit this home run, you still don't have a monetizable business. You still can't make any money. So you have to hit the second home run: "You need a 10x innovation on top of the open source. That's the proprietary value you'll provide companies. That's why they'll come to you. Otherwise, they can get the open source anywhere." If you don't hit the second home run, the hyperscalers pick up your open source model, and they offer it for almost-free. "Getting into open source and monetizing is not an easy sport. Preferably don't get into it, because you might get hurt."

Databricks CEO Ali Ghodsi describes the difficulties of building a business around open source: "You have to hit two home runs, consecutively." "Your first home run - and you're banking on hitting that home run - is that your open source project takes over the world. Everybody wants to download it." If you don't hit that home run, Ali says, you just shot yourself in the foot. You just gave away your IP and got nothing back for it. But even if you hit this home run, you still don't have a monetizable business. You still can't make any money. So you have to hit the second home run: "You need a 10x innovation on top of the open source. That's the proprietary value you'll provide companies. That's why they'll come to you. Otherwise, they can get the open source anywhere." If you don't hit the second home run, the hyperscalers pick up your open source model, and they offer it for almost-free. "Getting into open source and monetizing is not an easy sport. Preferably don't get into it, because you might get hurt."

TBPN

45,393 просмотров • 9 месяцев назад

Tune Studio is an end-to-end platform for developing applications using Large Language Models. So far, I haven't seen any other platform like this one. You can do everything here: 1. You can curate your data. 2. Use the playground to play with different models and try your ideas. 3. Fine-tune an open-source model on your data. 4. Deploy the model when you are done. This is awesome for anyone building generative AI applications. You can use Tune Studio to work with any of the open-source models out there. They were one of the few companies to host Llama 2 and Llama 3 before anyone else. Here is a link to check it out: One of their main selling points is that Tune Studio scales! You don't have to worry about serving your model to lots of users. They also have built-in user management, authentication, on-prem support, user context management, and pretty much everything you need to build generative AI applications. Thanks to the Tune team for collaborating with me on this post. We are living through the best years of development tools for AI developers. The field is unstoppable.

Tune Studio is an end-to-end platform for developing applications using Large Language Models. So far, I haven't seen any other platform like this one. You can do everything here: 1. You can curate your data. 2. Use the playground to play with different models and try your ideas. 3. Fine-tune an open-source model on your data. 4. Deploy the model when you are done. This is awesome for anyone building generative AI applications. You can use Tune Studio to work with any of the open-source models out there. They were one of the few companies to host Llama 2 and Llama 3 before anyone else. Here is a link to check it out: One of their main selling points is that Tune Studio scales! You don't have to worry about serving your model to lots of users. They also have built-in user management, authentication, on-prem support, user context management, and pretty much everything you need to build generative AI applications. Thanks to the Tune team for collaborating with me on this post. We are living through the best years of development tools for AI developers. The field is unstoppable.

Santiago

39,101 просмотров • 2 лет назад

With FIP.16's hard fork live this week, staking matters more than ever. The changes reweight vote power heavily toward staking. If you're holding FLR, staking is now the way to capture the majority of rewards. Here's a step-by-step on how to stake 👇 Stake today→

With FIP.16's hard fork live this week, staking matters more than ever. The changes reweight vote power heavily toward staking. If you're holding FLR, staking is now the way to capture the majority of rewards. Here's a step-by-step on how to stake 👇 Stake today→

Flare ☀️

67,514 просмотров • 2 месяцев назад

$NS staking is now live 💧 This release is a major step towards fully onchain governance, with staking being required to vote and earn rewards Stake and/or lock your tokens on the new voting platform: 🗳️

$NS staking is now live 💧 This release is a major step towards fully onchain governance, with staking being required to vote and earn rewards Stake and/or lock your tokens on the new voting platform: 🗳️

Sui Name Service (SuiNS)

179,031 просмотров • 1 год назад