Tracking and managing inventory has never been easier. Gemini Enterprise can connect different systems to give you a unified view of your stock.
It can also help you spot stock risks before they impact your sales and customers.
Try it yourself → https://t.co/5nAkboZhm6
Sam Altman (CEO of OpenAI):
"You no longer need to write prompts."
In just 38 minutes, he explains how to use ChatGPT at a level that most people can't even imagine.
It's a talk he gave to Stanford students. A friend sent me the recording last night.
After watching it, I realized I was only taking advantage of about 15% of what this tool can really do.
Watch it in full and then read the guide I leave below on how to create a system that prompts itself.
Real-time AI at 100 mph means moving your entire stack to the edge.
Our @GoogleDevExpert community hit the track to build an offline AI racing coach that processes live car telemetry instantly, without relying on the cloud. Here’s what’s happening under the hood 🏎️ ↓
Build _______ with Gemini.
Fill in the blank at #BuildwithGemini, a complimentary, hands-on workshop on building, scaling, and deploying secure, production-ready AI agents.
Find an event near you → https://t.co/JEwAgJ98ex
Check out this interesting demo from the latest Gemma 4 hackathon.
This live meeting copilot runs at 1,000+ tok/s, turning spoken conversations into working prototypes before the meeting even ends.
Wonder what the “E” stands for in E2B and E4B models? Look no further!
Learn more about these “effective” parameters, Per-Layer Embeddings (PLE), and how they boost a model's power without increasing the actual parameters used during computation in this 2-minute overview.
Acabamos de actualizar uno de los cursos más populares de Platzi de los últimos meses.
🌟Curso de OpenClaw 🌟
Aprende a crear un agente que se conecte a los objetivos de tu trabajo y aumente tu productividad e impacto.
Comienza a aprender hoy 👇
After planning your idea, it’s time to build. 🏗️
This video shows you how you can use the Google ecosystem to construct and deploy AI-native apps seamlessly for the Build with Gemini @XPrize Hackathon, live through August 17.
Yes, the rumors are true: The more powerful Notebook experience is now 100% rolled out to ALL Pro users.
You might be asking... How exactly do I use it? Here are a few queries to try (ofc dependent on your sources).
Hot Tip: bookmark this post! Free users too 😉
For Learning:
"Create 5 quizzes of ascending difficulty focusing on a different topic from my sources"
"Turn my raw lecture notes into a formatted PDF study guide complete with a 5-question practice quiz."
"Add all of the URLs from this class syllabus as sources"
For Business:
"Calculate revenue growth across each product line and plot the trends"
"Read our marketing brief, search the web for competitors, and recommend how we should tune our messaging"
For Personal:
"I uploaded a bunch of receipts from our kitchen renovation, make a spreadsheet to track all the work and costs"
"Help me analyze this property purchase. Look up recent market performance in the neighborhood, predict trends, and make a spreadsheet to model all the data you find"
ANTHROPIC ENGINEER:
"DON'T PROMPT CLAUDE. BUILD A SYSTEM THAT PROMPTS ITSELF."
In this free workshop, he explains why most people use Claude the wrong way.
And how to turn one AI into an entire team of AI agents.
He covers:
• Proper CLAUDE.md setup
• Plugins almost nobody uses
• Advanced prompt caching (95% cache hit rate)
• Why starting every chat from scratch is a mistake
Worth more than most paid Claude courses.
Watch this and bookmark it.
agents → tools → loops → graphs → autonomous systems
Google just put all five in one free course. most people stop after the first one.
2 hours 17 minutes, taught by a Developer Relations Engineer at Google Cloud. no signup, no paywall.
39:45 - build your first agent
56:10 - connect MCP tools
1:14:34 - four loop patterns for running it
1:23:01 - turn those loops into a graph
2:05:00 - wire the whole thing into one autonomous system
the progression is the point. one agent is a demo, an agent with tools does work.
loops let it keep going. graphs let several of them coordinate.
only the last step runs without you in the room.
most people are still tuning the prompt inside step one.
worth more than most paid agent bootcamps.
bookmark and watch it today, then read the full graph engineering breakdown below
🚨 Google أطلقت دورة مجانية مدتها ساعتان لتعلّم Graph Engineering من الصفر. تبدأ ببناء أول Agent، ثم Loops، وبعدها Graphs وأنظمة Multi-Agent متكاملة. لا تكتفِ ببناء Agent واحد… تعلّم كيف تبني منظومة كاملة.
شاهد الدورة كاملة . 👇
Google just released free 2-hour course on full Graph engineering: 1 prompt → 100 agents → loops → graphs from 0% to 100%:
10% → 17:44 - build your first agent
30% → 39:30 - Loop engineering: iterate, check, break
60% → 1:12:38 - Graph engineering
75% → 1:34:26 - agents that throttle themselves
100% → 1:55:05 - full graph for multi-agentic systems
everyone builds one agent and calls it done - this is the full system where agents wire themselves into a graph
watch the course, build the graph - then read the full architecture below ↓
At Sonoma Raceway, Google Developer Experts built an AI Race Coach using Google Antigravity to bridge software code and vehicle telemetry.
Tapping 100+ car sensors on a Pixel 10, Gemma 4 ran locally to deliver real-time audio coaching.
Google just released a free 2-hour+ course on full agent engineering.
How to go from one prompt to a system that runs while you sleep:
38:46 - Build your first AI agent
54:46 - Connect MCP tools
1:12:43 - Run agents with four loop patterns
1:20:57 - Turn agent loops into graphs
2:22:31 - Build the complete autonomous system
Most people are still building one agent and stopping there.
Google is already teaching the full stack:
Agents → Tools → Loops → Graphs → Autonomous Systems
Single agents are the old workflow.
Systems that run without you are the new one.
This course is worth more than most paid agent engineering bootcamps.
Bookmark and watch it today
Then read the full graph engineering playbook below
Introducing Gemini Robotics 2: the next era of truly adaptable robots from @GoogleDeepMind 🤖
Powered by three new models, it brings whole-body control, fine dexterity, and teamwork to complex tasks — making robots more helpful in the real world. https://t.co/aey7mLztYc
TPU 8i and TPU 8t deliver sustainable economics—offering up to 80% better performance-per-dollar for low-latency serving while seamlessly scaling to 1M+ chips!
Learn how our 8th-generation TPU system drives the next frontier of AI ↓
Here’s a first look at Gemini Robotics 2 from @GoogleDeepMind on the FR3 Duo: 20 minutes of uninterrupted, real-time tool kitting.
Notice the emergent recovery behaviours - generalized dexterity & precision at a whole new level.
More demos dropping over the next days! Stay tuned!
Even the most epic travelers need the right tools for the journey ahead. 🧭
Chart a triumphant course for your next web project with the latest features, programs, and APIs: https://t.co/Kx6BTvrAAM