Video yükleniyor...

Video Yüklenemedi

Bu video yüklenirken bir sorun oluştu. Bu geçici bir ağ sorunundan kaynaklanıyor olabilir veya video kullanılamıyor olabilir.

Ana Sayfaya Dön

NO WAY THIS IS ACTUALLY FREE AND OPEN-SOURCE.. PilotDeck just dropped an open-source agent OS with persistent workspaces, autonomous execution, and intelligent model routing. It routes hard tasks to stronger models and simple tasks to cheaper agents, so you stop burning premium tokens on work that doesn’t need them.... show more

Robin Delta

87,052 subscribers

39,717 görüntüleme • 2 ay önce •via X (Twitter)

Komedi Haberler & Politika Bilim & Teknoloji

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

Today, we're launching the Traycer Desktop App. Free. Open source. Built with AI orchestration in mind. What’s new: • Bring your existing subscription (Claude, Codex, Opencode, etc.) • Agent-to-Agent communication and Loops • Persistent workspaces with tabs and sub-tabs • Share tasks and collaborate with teammates Capability stopped being the hard part. The environment is the new frontier, and that’s where Traycer is.

Today, we're launching the Traycer Desktop App. Free. Open source. Built with AI orchestration in mind. What’s new: • Bring your existing subscription (Claude, Codex, Opencode, etc.) • Agent-to-Agent communication and Loops • Persistent workspaces with tabs and sub-tabs • Share tasks and collaborate with teammates Capability stopped being the hard part. The environment is the new frontier, and that’s where Traycer is.

Traycer

96,525 görüntüleme • 1 ay önce

Open AI released Operator, an agent that can use the browser to perform and automate tasks for you! I have built an Open Source version of Operator using Browser Use, running locally on your computer. 100% Open Source

Open AI released Operator, an agent that can use the browser to perform and automate tasks for you! I have built an Open Source version of Operator using Browser Use, running locally on your computer. 100% Open Source

Sumanth

62,485 görüntüleme • 1 yıl önce

Thrilled to see Amazon Web Services making a major contribution to the open source AI community with the launch of the Strands Agents, an open source AI agents SDK! The core of Strands is the simple agentic loop that connects the model and tools together, like the two strands of DNA. This model-driven approach to agent building eliminates the need for complex agent orchestration by embracing the capabilities of state-of-the-art models to plan, chain thoughts, call tools, and reflect. Providing open source tools and interoperability with open source protocols is an important part of our strategy to enable an agentic future. Can't wait to see what you build with Strands!

Thrilled to see Amazon Web Services making a major contribution to the open source AI community with the launch of the Strands Agents, an open source AI agents SDK! The core of Strands is the simple agentic loop that connects the model and tools together, like the two strands of DNA. This model-driven approach to agent building eliminates the need for complex agent orchestration by embracing the capabilities of state-of-the-art models to plan, chain thoughts, call tools, and reflect. Providing open source tools and interoperability with open source protocols is an important part of our strategy to enable an agentic future. Can't wait to see what you build with Strands!

Swami Sivasubramanian

32,185 görüntüleme • 1 yıl önce

Build agents that can actually do real-world tasks! Agent Reinforcement Trainer (ART) is a framework to train multi-step LLM agents for real-world tasks using GRPO. Just a few lines of code. No manual rewards needed. vLLM + Unsloth combined 🚀 100% open-source.

Build agents that can actually do real-world tasks! Agent Reinforcement Trainer (ART) is a framework to train multi-step LLM agents for real-world tasks using GRPO. Just a few lines of code. No manual rewards needed. vLLM + Unsloth combined 🚀 100% open-source.

Akshay 🚀

38,297 görüntüleme • 6 ay önce

ALIBABA JUST DROPPED AN OPEN SOURCE AI AGENT CALLED COPAW FOR FREE. It combines OpenClaw and Cowork into one local system that can connect your agents and keep learning while you sleep.

ALIBABA JUST DROPPED AN OPEN SOURCE AI AGENT CALLED COPAW FOR FREE. It combines OpenClaw and Cowork into one local system that can connect your agents and keep learning while you sleep.

0xMarioNawfal

57,597 görüntüleme • 4 ay önce

Create your own local and free AI agent using an open source model You can combine: - IBM's Granite 3.3 8B AI model - LM Studio to run it on a laptop - Smolagents to build your agent Small AI models are now powerful enough to run an autonomous agent. Thanks to IBM France for sponsoring this content!

Create your own local and free AI agent using an open source model You can combine: - IBM's Granite 3.3 8B AI model - LM Studio to run it on a laptop - Smolagents to build your agent Small AI models are now powerful enough to run an autonomous agent. Thanks to IBM France for sponsoring this content!

Paul Couvert

18,890 görüntüleme • 1 yıl önce

🚨BREAKING: A new open-source voice model just dropped and it’s better than ElevenLabs. This open-source voice AI is ultra-expressive, high quality, and fully free with no paywalls, no limits. Here’s how it works (with real examples):👇

🚨BREAKING: A new open-source voice model just dropped and it’s better than ElevenLabs. This open-source voice AI is ultra-expressive, high quality, and fully free with no paywalls, no limits. Here’s how it works (with real examples):👇

Sehaj Singh

814,129 görüntüleme • 11 ay önce

this guy built an app where AI agents autonomously create tasks, review each other's work, and message each other you just sit there and watch everything happen on a dashboard in real time agents: > assign work to other agents > review the output > send messages back and forth. > flag issues and iterate. you're basically watching a team operate without you. there are endless opportunities to automate your life with this AND its free + open source.

this guy built an app where AI agents autonomously create tasks, review each other's work, and message each other you just sit there and watch everything happen on a dashboard in real time agents: > assign work to other agents > review the output > send messages back and forth. > flag issues and iterate. you're basically watching a team operate without you. there are endless opportunities to automate your life with this AND its free + open source.

Om Patel

28,547 görüntüleme • 4 ay önce

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 görüntüleme • 4 ay önce

NVIDIA just released a new open source transcription model, Nemotron Speech ASR, designed from the ground up for low-latency use cases like voice agents. Here's a voice agent built with this new model. 24ms transcription finalization and total voice-to-voice inference time under 500ms. This agent actually uses *three* NVIDIA open source models: - Nemotron Speech ASR - Nemotron 3 Nano 30GB in a 4-bit quant (released in December) - A preview checkpoint of the upcoming Magpie text-to-speech model These models are all truly open source: weights, training data, training code, and inference code. This is a big deal! Jensen said in the CES keynote yesterday that he expects open source models to catch up to proprietary models this year in a number of categories. NVIDIA is putting their weight behind making this happen. (As Alan Kay said, the best way to predict the future is to invent it.) The code for this agent is open source too, of course. You can deploy it to production with Modal and Pipecat AI cloud, or run locally on an NVIDIA DGX Spark or RTX 5090.

NVIDIA just released a new open source transcription model, Nemotron Speech ASR, designed from the ground up for low-latency use cases like voice agents. Here's a voice agent built with this new model. 24ms transcription finalization and total voice-to-voice inference time under 500ms. This agent actually uses three NVIDIA open source models: - Nemotron Speech ASR - Nemotron 3 Nano 30GB in a 4-bit quant (released in December) - A preview checkpoint of the upcoming Magpie text-to-speech model These models are all truly open source: weights, training data, training code, and inference code. This is a big deal! Jensen said in the CES keynote yesterday that he expects open source models to catch up to proprietary models this year in a number of categories. NVIDIA is putting their weight behind making this happen. (As Alan Kay said, the best way to predict the future is to invent it.) The code for this agent is open source too, of course. You can deploy it to production with Modal and Pipecat AI cloud, or run locally on an NVIDIA DGX Spark or RTX 5090.

kwindla

274,568 görüntüleme • 6 ay önce

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

64,611 görüntüleme • 3 ay önce

You don't need to be a developer to install AI agents and other open-source software. OpenCode + Venice gives you a private system administrator that runs on natural language—no coding, no data stored Use it to safely experiment with autonomous agents inside Docker containers:

You don't need to be a developer to install AI agents and other open-source software. OpenCode + Venice gives you a private system administrator that runs on natural language—no coding, no data stored Use it to safely experiment with autonomous agents inside Docker containers:

Venice

12,402 görüntüleme • 5 ay önce

1/ Introducing Glider - the smallest model to beat GPT-4o-mini on eval tasks ⚡🚀 - Open source, open weights, open code - Explainable evaluations by nature - Trained on 183 criteria and 685 domains Try it out for free at 🔥

1/ Introducing Glider - the smallest model to beat GPT-4o-mini on eval tasks ⚡🚀 - Open source, open weights, open code - Explainable evaluations by nature - Trained on 183 criteria and 685 domains Try it out for free at 🔥

PatronusAI

14,856 görüntüleme • 1 yıl önce

You don't need to pay $200 for AI. We're launching Open Operator - an open source reference project that shows how easy it is to add web browsing capabilities to your existing AI tool. It's early, slow, and might not work everywhere. But it's free and open source! 🔗👇

You don't need to pay $200 for AI. We're launching Open Operator - an open source reference project that shows how easy it is to add web browsing capabilities to your existing AI tool. It's early, slow, and might not work everywhere. But it's free and open source! 🔗👇

Paul Klein IV

349,171 görüntüleme • 1 yıl önce

🤝 AI Agents That Work Together — Collaboration Made Simple! In this demo, John explores one of Agent Forge’s most powerful features: agent-to-agent collaboration. With Agent Forge, you can create agents with different roles, connect them, and watch them collaborate to solve complex tasks. Modular, scalable, and fully automated. 🔗 Try here:

🤝 AI Agents That Work Together — Collaboration Made Simple! In this demo, John explores one of Agent Forge’s most powerful features: agent-to-agent collaboration. With Agent Forge, you can create agents with different roles, connect them, and watch them collaborate to solve complex tasks. Modular, scalable, and fully automated. 🔗 Try here:

AITECH

43,206 görüntüleme • 11 ay önce

Friendly reminder that you can run Qwen 3.5 (and other open-source models) on your phone And the app (PocketPal) is: - Completely free - 100% open-source - Available on iOS and Android You can then chat even if you're offline or just don't want to share personal data. Links below

Friendly reminder that you can run Qwen 3.5 (and other open-source models) on your phone And the app (PocketPal) is: - Completely free - 100% open-source - Available on iOS and Android You can then chat even if you're offline or just don't want to share personal data. Links below

Paul Couvert

26,067 görüntüleme • 5 ay önce

Open Computer Agent - LLMs completing tasks using a VM. It's playground to test how well current LLM agents use a computer to solve everyday tasks. And this is just the start - very soon models will be 10x faster and 10x better at it! ❤️ built with e2b x qwen2.5-vl x smolagent

Open Computer Agent - LLMs completing tasks using a VM. It's playground to test how well current LLM agents use a computer to solve everyday tasks. And this is just the start - very soon models will be 10x faster and 10x better at it! ❤️ built with e2b x qwen2.5-vl x smolagent

Leandro von Werra

17,126 görüntüleme • 1 yıl önce

🚨BREAKING: Hermes Agent v0.11 Just Changed AI Agents Forever! Hermes Agent just dropped V0.11. Biggest update ever. 🔥 → Brand new terminal interface. →Unlimited sub-agents spawning sub-agents. →GPT-5.5 now works inside it. →Access to every major AI model from one tool. →Redirect your agent MID-task with one command. This is a full rebuild. 🤯 FREE and open source ↓

Julian Goldie SEO

24,027 görüntüleme • 3 ay önce

it's so over DeepSeek V3-0324 just dropped and it created this website in one shot, it wrote 800+ lines of code without breaking even once, this is free, open-source, super fast. it's great to see how these open-source models are creating pressure on the big techs to build better models at lower cost.

it's so over DeepSeek V3-0324 just dropped and it created this website in one shot, it wrote 800+ lines of code without breaking even once, this is free, open-source, super fast. it's great to see how these open-source models are creating pressure on the big techs to build better models at lower cost.

Deepanshu Sharma

291,159 görüntüleme • 1 yıl önce

GLM 4.7 is one of the strongest open-source coding models available—but most developers aren't prompting it correctly. We put together 10 rules to help you get the most out of it: - Front-load instructions (it has a strong recency bias) - Use firm language: "must" and "strictly" > soft suggestions - Break complex tasks into smaller steps - Disable reasoning for simple tasks, enable it for hard ones - Use critic agents for code review, QA, and validation - Pair it with a frontier model for the hardest 10% of workloads - and more… GLM 4.7 hits 96% on Tau² Bench and 86% on GPQA Diamond. At 1,500 tokens/sec on Cerebras, it's 20x faster than closed-source alternatives on GPUs.

GLM 4.7 is one of the strongest open-source coding models available—but most developers aren't prompting it correctly. We put together 10 rules to help you get the most out of it: - Front-load instructions (it has a strong recency bias) - Use firm language: "must" and "strictly" > soft suggestions - Break complex tasks into smaller steps - Disable reasoning for simple tasks, enable it for hard ones - Use critic agents for code review, QA, and validation - Pair it with a frontier model for the hardest 10% of workloads - and more… GLM 4.7 hits 96% on Tau² Bench and 86% on GPQA Diamond. At 1,500 tokens/sec on Cerebras, it's 20x faster than closed-source alternatives on GPUs.

Cerebras

633,658 görüntüleme • 6 ay önce