正在加载视频...

视频加载失败

返回首页

Drag-and-drop swarm architecture for agent creation using ̶R̶e̶d̶a̶c̶t̶e̶d̶ by Schizo Terminal. Soon

VitalisElkins's profile picture

Vitalis (cute/acc)

3,169 subscribers

87,293 次观看 • 1 年前 •via X (Twitter)

科学技术
LIVE

Anya Rossi• Live Now

Private livecam show

11 条评论

𝔯 𝔞 𝔴 𝔯 的头像
𝔯 𝔞 𝔴 𝔯1 年前

would love to hear @shawmakesmagic's thoughts on this also @aixbt_agent what do you think of $SCHIZO

Greg Caplan 🚀 的头像
Greg Caplan 🚀2 年前

Stop wasting time following up with leads. Let our AI agents do it for you.

Bounty (bsms/acc) 的头像
Bounty (bsms/acc)1 年前

ALPHA

𝔯 𝔞 𝔴 𝔯 的头像
𝔯 𝔞 𝔴 𝔯1 年前

"'here comes SCHIZO!"

MenaceToSociety 🥶 的头像
MenaceToSociety 🥶1 年前

Looks like retirement!

Ben 的头像
Ben1 年前

CRAZYYYYYYYYYYYYYYYYY TEK

Vanion 的头像
Vanion1 年前

$schizo Can’t wait to use @SchizoTerminal #virtuals #ai16z $swarms

Lena  的头像
Lena 1 年前

Might be the last days to buy the dip before more people learn about what $SCHIZO team is capable of. My biggest bag and my best bet these times.

Hamza 的头像
Hamza1 年前

LFG

Ben 的头像
Ben1 年前

help me

Nameless 的头像
Nameless1 年前

$schizo to 1B

相关视频

this AI agent builds workflows for you in minutes (without drag and drop). RIP n8n??
10:26

this AI agent builds workflows for you in minutes (without drag and drop). RIP n8n??

The Boring Marketer

28,255 次观看 • 1 年前

Added a widget panel to this build - drag and drop widgets directly into the terminal Live:
0:23

Added a widget panel to this build - drag and drop widgets directly into the terminal Live:

Timothy M.

19,888 次观看 • 27 天前

Drag and drop to ask AI ✨ coming soon 🔜
0:32

Drag and drop to ask AI ✨ coming soon 🔜

Thomas Paul Mann

27,852 次观看 • 2 年前

Meet Sim Studio The open source agent workflow builder. Drag-and-drop building blocks to create your first agent:
2:50

Meet Sim Studio The open source agent workflow builder. Drag-and-drop building blocks to create your first agent:

Emir Karabeg

92,575 次观看 • 1 年前

Introducing Cloud9 (C9) Agentic Terminal: the world’s first autonomous AI agent for prediction markets. Powered by our proprietary in-house models, C9’s swarm of agents scan, trade, and captures the best arbitrage across Polymarket and Kalshi. All in one terminal: AI arbitrage, AI copy trading, and smart analytics. Beta drops next week. Stay tuned.
1:04

Introducing Cloud9 (C9) Agentic Terminal: the world’s first autonomous AI agent for prediction markets. Powered by our proprietary in-house models, C9’s swarm of agents scan, trade, and captures the best arbitrage across Polymarket and Kalshi. All in one terminal: AI arbitrage, AI copy trading, and smart analytics. Beta drops next week. Stay tuned.

Rainmaker

49,675 次观看 • 9 个月前

Some say AI is plastic… I turn it into cinema. Im using SJinn Agent for video creation
1:07

Some say AI is plastic… I turn it into cinema. Im using SJinn Agent for video creation

Gowtham

28,246 次观看 • 3 个月前

A new Super Agent builder arrived at Genspark along with a Super Agent store. It allows users to automate their recurrent workflows for content creation, data management and more! The underlying system will automatically configure the agent architecture, select optimal models, and fine-tune its capabilities.
0:37

A new Super Agent builder arrived at Genspark along with a Super Agent store. It allows users to automate their recurrent workflows for content creation, data management and more! The underlying system will automatically configure the agent architecture, select optimal models, and fine-tune its capabilities.

TestingCatalog News 🗞

42,650 次观看 • 8 个月前

Introducing MortgageUnderwritingSwarm, MortgageUnderwritingSwarm is a multi-agent mortgage underwriting swarm. It leverages a modular multi-agent architecture to analyze mortgage documents, evaluate risk, and produce final underwriting decisions—all in less than 1 minute. Features: ⎆ Multi-Agent architecture provides superior output quality compared to just an individual agent. ⎆PDF-to-text conversion ⎆ Autosaving of intermediate results, flexible output formats (PDF/JSON) ⎆ Batch processing for multiple applications. Links below ⬇️
2:04

Introducing MortgageUnderwritingSwarm, MortgageUnderwritingSwarm is a multi-agent mortgage underwriting swarm. It leverages a modular multi-agent architecture to analyze mortgage documents, evaluate risk, and produce final underwriting decisions—all in less than 1 minute. Features: ⎆ Multi-Agent architecture provides superior output quality compared to just an individual agent. ⎆PDF-to-text conversion ⎆ Autosaving of intermediate results, flexible output formats (PDF/JSON) ⎆ Batch processing for multiple applications. Links below ⬇️

Kye Gomez (swarms)

16,402 次观看 • 1 年前

📢 Pragmatic drag and drop is now public! 🎉 Fast drag and drop for any experience on any tech stack
2:10

📢 Pragmatic drag and drop is now public! 🎉 Fast drag and drop for any experience on any tech stack

Alex Reardon

82,577 次观看 • 2 年前

Agent creation update for Colony // Colony is an AI simulation game powered by $PRIME and built on Solana
1:34

Agent creation update for Colony // Colony is an AI simulation game powered by $PRIME and built on Solana

//Kalos

68,079 次观看 • 1 年前

“Phase 1 is live with our full stack web builder. New features and further accessibility are in the works. Phase 2 with our Drag & Drop AI Agent Builder coming soon…⏳”
0:40

“Phase 1 is live with our full stack web builder. New features and further accessibility are in the works. Phase 2 with our Drag & Drop AI Agent Builder coming soon…⏳”

Being AI

11,952 次观看 • 1 年前

You can now build AI Agents using a no-code drag and drop interface. Fully open-source.
0:22

You can now build AI Agents using a no-code drag and drop interface. Fully open-source.

Lior Alexander

87,456 次观看 • 1 年前

We made it easier for you to organise your tabs by implementing a new drag-and-drop system!
0:24

We made it easier for you to organise your tabs by implementing a new drag-and-drop system!

Zen

78,189 次观看 • 5 个月前

Your AI agent can now generate and ship videos. HeyGen CLI is now live. Run one command and your agent handles it all: script → avatar creation → video → delivery All from the terminal. Just your agent and the CLI. RT + Comment “CLI” and we’ll DM API credits (must follow)
0:58

Your AI agent can now generate and ship videos. HeyGen CLI is now live. Run one command and your agent handles it all: script → avatar creation → video → delivery All from the terminal. Just your agent and the CLI. RT + Comment “CLI” and we’ll DM API credits (must follow)

HeyGen

224,291 次观看 • 2 个月前

The Swarms Credit System is Now Live! We're excited to announce that international customers can now unlock all of our products and solutions using the $swarms token. Easily top up your balance and enjoy features like: ⎆ Spreadsheet Swarm: Concurrently activate thousands of agents. ⎆Drag N Drop: Build Specialized swarms through our simple drag and drop interface ⎆ Comprehensive API Access: Integrate our full suite of APIs for agents and swarms. ⎆ Marketplace Transactions: Seamlessly buy and sell agents. ⎆ And much more! Get started below ⬇️
0:26

The Swarms Credit System is Now Live! We're excited to announce that international customers can now unlock all of our products and solutions using the $swarms token. Easily top up your balance and enjoy features like: ⎆ Spreadsheet Swarm: Concurrently activate thousands of agents. ⎆Drag N Drop: Build Specialized swarms through our simple drag and drop interface ⎆ Comprehensive API Access: Integrate our full suite of APIs for agents and swarms. ⎆ Marketplace Transactions: Seamlessly buy and sell agents. ⎆ And much more! Get started below ⬇️

swarms

28,622 次观看 • 1 年前

A Chinese trader known as "gatorr" made $1,934,731.20 on NBA markets by simulating thousands of autonomous AI agents. While researchers use a demo version of MiroFish to test macroeconomic policies, gatorr has turned the repository into an enhanced MiroFish terminal to hack the sports betting market. Here's an alpha version demonstrating how gatorr's tech stack actually works: The enhanced MiroFish terminal is a next-generation AI-powered prediction system powered by multi-agent technology. By extracting information from the real world, the system automatically creates a highly accurate parallel digital world. The real advantage lies in the execution layer of the architecture: 1. Information and Odds Aggregation: The terminal quickly searches for injury information in real time and aggregates underlying odds from various top quantitative AI models. 2. Size and Execution: By matching simulated agent swarm win probabilities with aggregated bookmaker odds, the enhanced MiroFish terminal provides actionable insights and optimizes bet sizing using dynamic Kelly Criterion formulas. Thousands of agents interacting in over 40 simulation rounds on powerful LLM systems creates incredibly aggressive API token burn. When you combine the enormous computational costs with strict liquidity constraints in betting markets that limit bet sizes based on the Kelly Criterion, scaling beyond $2 million becomes a serious bottleneck. The meta has officially changed. If you're not using multi-agent swarm forecasts for your edge device for 2026, you're not trading --> you're just liquidity.
0:25

A Chinese trader known as "gatorr" made $1,934,731.20 on NBA markets by simulating thousands of autonomous AI agents. While researchers use a demo version of MiroFish to test macroeconomic policies, gatorr has turned the repository into an enhanced MiroFish terminal to hack the sports betting market. Here's an alpha version demonstrating how gatorr's tech stack actually works: The enhanced MiroFish terminal is a next-generation AI-powered prediction system powered by multi-agent technology. By extracting information from the real world, the system automatically creates a highly accurate parallel digital world. The real advantage lies in the execution layer of the architecture: 1. Information and Odds Aggregation: The terminal quickly searches for injury information in real time and aggregates underlying odds from various top quantitative AI models. 2. Size and Execution: By matching simulated agent swarm win probabilities with aggregated bookmaker odds, the enhanced MiroFish terminal provides actionable insights and optimizes bet sizing using dynamic Kelly Criterion formulas. Thousands of agents interacting in over 40 simulation rounds on powerful LLM systems creates incredibly aggressive API token burn. When you combine the enormous computational costs with strict liquidity constraints in betting markets that limit bet sizes based on the Kelly Criterion, scaling beyond $2 million becomes a serious bottleneck. The meta has officially changed. If you're not using multi-agent swarm forecasts for your edge device for 2026, you're not trading --> you're just liquidity.

m|i|ster

38,048 次观看 • 3 个月前

Natural Language Screening via Deepvue Terminal - Create Screens using Natural Language - Automatically saved and loaded on creation Here is a preview 🚀 Coming next week
1:10

Natural Language Screening via Deepvue Terminal - Create Screens using Natural Language - Automatically saved and loaded on creation Here is a preview 🚀 Coming next week

Ameet Rai

37,982 次观看 • 4 个月前

Just launched: an agent specifically designed for research. Using a modified babyagi architecture by Yohei & AutoGPT For example: - podcast script from latest news - market research report - new github repos trending on hacker news Live now on
1:03

Just launched: an agent specifically designed for research. Using a modified babyagi architecture by Yohei & AutoGPT For example: - podcast script from latest news - market research report - new github repos trending on hacker news Live now on

David

1,256,282 次观看 • 3 年前

Nature inspired architecture using Ai 📹 by Fatih Ekşi
1:54

Nature inspired architecture using Ai 📹 by Fatih Ekşi

Science girl

100,106 次观看 • 1 年前