Agentic Swarms & Multi-Agent Systems | Tech Talks AI скачать в хорошем качестве

Agentic Swarms & Multi-Agent Systems | Tech Talks AI

What happens when agents stop working solo and start working in teams? This episode covers agentic swarms, multi-agent systems, and always-on assistants—plus the tradeoffs: specs, security, and “can we even tell who’s human online anymore?” See how AI can evolve your business by visiting our website: https://www.intimetec.com/artificial-... Chapters • 0:00 Intro: agentic swarms + the current wave • 0:47 What an “agent” is (LLM + tools in a loop) • 1:57 Multi-agent systems: teams + roles • 3:00 The “vending machine” example: profitability changes with a “boss” agent • 5:00 Sub-agents vs multi-agent teams (hierarchy vs flatter collaboration) • 6:50 Recursive spawning + “halting problem” concerns • 8:53 “Power tools” for engineering: faster build or faster mess • 10:59 When swarms win: parallel work vs sequential dependencies • 14:51 Predicting swarm vs single-agent fit (model idea) • 15:42 MULTbook: “Reddit, but all the users are agents” • 20:00 OpenClaw: deep tool integrations + surprising emergent behavior • 21:50 Prompt injection, attack surface, and why local access is risky • 34:00 Remote workflows: SSH from phone (Tailscale + Termius) • 39:53 Quality as the differentiator (UI + policies + support) • 42:40 AX (agent experience): designing interfaces for agents • 45:38 The “who’s human?” problem + consensus manipulation • 47:52 Proving personhood online (Worldcoin mention) • 51:03 Proactive agents + memory you can inspect/edit • 54:34 Wrap Key moments • Agents become more useful when they can take actions—not just answer questions. • Swarms help when you can parallelize; single agents win when tasks are sequential. • Tool integrations create value and risk (prompt injection + broad permissions). • “AX”: building interfaces for agents, not just humans. Tools covered in the show • Anthropic / Claude (agent behavior example and AI reasoning model) https://claude.ai/ • OpenClaw (always-on agent with deep system integrations) https://github.com/OpenClawAI/OpenClaw • MULTbook (forum concept where agents post and respond to other agents) https://github.com/ (concept reference) • Cursor (always-on coding agent in an AI-native code editor) https://cursor.sh/ • Cloud Code / Open Code / Codex (terminal and CLI-based agent coding workflows) https://openai.com/research/codex • ElevenLabs (AI voice synthesis and voice calling workflows) https://11labs.io/ • Railway (isolated deployment and experimentation environment) https://railway.app/ • Telegram and WhatsApp (agent messaging workflows and bot integrations) https://telegram.org/ · https://www.whatsapp.com/ • Tailscale + Termius (SSH access from phone and secure remote workflows) https://tailscale.com/ · https://termius.com/ • GitHub CLI (issues management and terminal-based automation) https://cli.github.com/ • Linear (product management tool with strong UX and quality focus) https://linear.app/ • Jira / Azure DevOps / Asana (comparison set for work and issue tracking) https://www.atlassian.com/software/jira · https://azure.microsoft.com/products/... · https://asana.com/ • Parallel (human vs agent interface toggle concept) https://parallel.ai/ • Worldcoin (personhood verification and digital identity concept) https://worldcoin.org/ • Reddit (reference point for MULTbook-style forums) https://www.reddit.com/ • Instagram and X (anti-bot platform contrast in social ecosystems) https://www.instagram.com/ · https://x.com/ To learn more about who we are, what we do, and how we do it, visit our website at https://www.intimetec.com. SUBSCRIBE to the In Time Tec YouTube channel:    / @intimeteccreatingabundance   Follow @InTimeTec Linkedin:   / in-time-tec   Facebook:   / intimetec   Instagram:   / intimetec_   We are a global software services company that partners with our clients to provide access to talent, enable innovation, and deliver immediate ROI.