30 Agents Every AI Engineer Must Build — Build production-ready agent systems using proven architectures and patterns: http://
amzn.to/41ckg6z v/ @PacktDataML —
What you will learn:
Deploy production-ready agent systems that scale securely and reliably
Use LangChain and
GENERATIVE AI
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30 Agents Every AI Engineer Must Build – production-ready agents
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New release: Everyone Is a Programmer – guide to building apps with AI coding
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New release! Everyone Is a Programmer — A battle-tested guide to building real apps with AI coding: https://
amzn.to/4cOEPNa via @PacktPublishing -
Gemini Omni introduces physics-aware video generation and natural-language editing
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Grok better catch up! Gemini Omni just raised the bar – physics-aware video generation + natural-language editing is a game changer for creators. Can't wait to see what people build.
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Google Announces Gemini Omni Multimodal World Model
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🚨Google just unveiled Gemini Omni, a world model that can turn text, photos, and clips into coherent, physics-aware video stories you can edit with natural language.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 20 mai 2026
Rolling out now in GeminiApp, Flow, and YouTube Shorts. pic.twitter.com/ghXv6bANSVGoogle just unveiled Gemini Omni, a world model that can turn text, photos, and clips into coherent, physics-aware video stories you can edit with natural language. Rolling out now in GeminiApp, Flow, and YouTube Shorts.
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Advancement of intelligence in flash AI models
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seeing us continue to pack the intelligence of pro (and more) into a flash model year after year is still one of the most impressive things to witness
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Integrating Google Maps and Street View into AI world models
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Holy.. attaching Google Maps and Street View to Genie might have been one of the smartest decisions Google could make for world models.
— CHOI (@arrakis_ai) 20 mai 2026
Instead of generating every scene from scratch, Genie can anchor memory to the real structure of the world itself. Roads, buildings,… pic.twitter.com/ALNuuhA8iVHoly.. attaching Google Maps and Street View to Genie might have been one of the smartest decisions Google could make for world models. Instead of generating every scene from scratch, Genie can anchor memory to the real structure of the world itself. Roads, buildings,
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UniVidX: a unified model for multiple video-generation tasks
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What if one AI could handle multiple video generation tasks without needing separate models for each? Researchers from HKUST, Stanford, Tsinghua, and other top labs present UniVidX. It uses three simple tricks: random condition masking to let the model learn any input-output
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Gemini 3.5 Flash Performance Benchmarks and Capability Overview
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Gemini 3.5 Flash is amazing! – Performs better than 3.1 Pro on coding & agentic tasks
– 4x faster than other frontier models
– 12x faster in @antigravity – 800 tokens/sec!
– Often at less than half the cost And Pro to come… Try it in @antigravity
, @GeminiApp & more – enjoy! -
Building Complex Multi-Agent Systems for App Development and Automation
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🚨 Agent Swarms – Multi-Agents Delegate Complex Prompts To Sub-Agents
— Abacus.AI (@abacusai) 20 mai 2026
Use Gemini 3.5 Flash, Opus 4.7 and GPT 5.5 xHIgh to create complex multi-agent system
A master agent can orchestrate several worker agents to just do things
Build full-stack apps, mobile apps and automate… pic.twitter.com/5IDAvesIgwAgent Swarms – Multi-Agents Delegate Complex Prompts To Sub-Agents Use Gemini 3.5 Flash, Opus 4.7 and GPT 5.5 xHIgh to create complex multi-agent system A master agent can orchestrate several worker agents to just do things Build full-stack apps, mobile apps and automate
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Google’s AI Agents Build Working Operating System in 12 Hours
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Google's Antigravity 2.0 built the core framework of a working operating system in 12 hours, spinning up 93 sub-agents and processing billions of tokens for under $1,000 in compute costs.
— Chubby♨️ (@kimmonismus) 20 mai 2026
On stage, the team booted Doom on the AI-built OS.
Just imagine all the possibilities in… pic.twitter.com/yT2RffsjrwGoogle's Antigravity 2.0 built the core framework of a working operating system in 12 hours, spinning up 93 sub-agents and processing billions of tokens for under $1,000 in compute costs. On stage, the team booted Doom on the AI-built OS. Just imagine all the possibilities in