Cristiano Ronaldo on what truly defines greatness—longevity, impact, versatility and mental toughness—plus a breakdown of his 2018 bicycle kick and the 'CU' celebration.

CR7 on Greatness: Legacy, Iconic Goals & How to Master the Bicycle Kick

Perplexity x CR7 — Cristiano Ronaldo on Greatness, Goals, and How to Master the Bicycle Kick

Curiosity is how greatness begins. 

Proud to partner with @Perplexity to inspire more people to explore their curiosity.  

perplexity.ai/ronaldo is just the beginning.

Perplexity x CR7

An investigative roundup of 25 unresolved WWII cases—disappeared officials, missing art and gold, secret operations—what historical records show and what remains unexplained.

Unsolved WWII Mysteries: Vanished Leaders & Lost Secrets

25 World War II Mysteries History Could Not Explain

Během druhé světové války se objevila zmizení, rozhodnutí a události, které nikdy nebyly zcela objasněny. Někteří z nejmocnějších mužů Třetí říše — jako Müller, Canaris, Hess či Bormann — zmizeli v chaosu závěru války, zanechávajíce po sobě protichůdné teorie, zničené archivy a stopy, které nebylo možné sledovat. Zároveň legendární poklady, jako Jantarová komnata, tajné náklady na Filipínách nebo truhly vhozené do jezera Toplitz, zmizely za okolností, které po desetiletí živily pátrání a spekulace.

Zrychlený technologický vývoj a zoufalství změnit průběh války daly vzniknout projektům, které byly stejně skutečné jako záhadné. Od Me 262 po extrémní experimenty jednotky 731, přes tajemná zařízení jako údajný „Zvon“ nebo světelné jevy známé jako Foo Fighters — hranice mezi vědou, mýtem a propagandou byla stále rozmazanější. Skryté aliance, únikové cesty a ponorkové operace směrem do Jižní Ameriky a Asie vytvořily síť tajemství, která zůstala uvězněna pod oceány, ledem nebo v tichu oficiálních dokumentů.

Na bojištích se ani vojenská logika ne vždy shodovala s realitou. Stalingrad, Hürtgen, Arnhem, Monte Cassino či Ržev zanechaly tisíce mrtvých bez jasného záznamu, strategická rozhodnutí bez vysvětlení a svědectví vojáků popisujících pozměněné vnímání, nemožné zvuky či nevysvětlitelné přítomnosti v okamžicích největšího napětí. Mezi taktickými chybami, lidskými zmizeními a jevy obtížně zařaditelnými válka zanechala dědictví, v němž ne všechno bylo možné říci, vysvětlit nebo obnovit — a některé epizody dodnes zůstávají zahalené ve stínu.

25 Záhad druhé světové války, které historie nedokázala vysvětlit

Step-by-step guide to checkpointing Flax NNX models with Orbax: extract nnx.state, use nnx.split/merge/update, and reliably save & restore model and optimizer state.

Orbax Checkpointing for Flax NNX — Practical Save & Restore for JAX

Checkpointing Flax NNX Models with Orbax (Part 1)

Orbax is the standard checkpointing library in the JAX ecosystem.  In part one of this two episode series on checkpointing with Orbax we’ll explore how to effectively save and restore your Flax NNX models.  As we’ve seen, Flax NNX offers a Pythonic, stateful approach which feels closer to frameworks like PyTorch, while still having all the advantages of JAX. We'll cover how NNX manages state and how Orbax interacts with it, starting with the basics and moving to advanced techniques like handling distributed training. This episode will cover the core concepts: what NNX state is, how Orbax is structured, and the complete workflow for saving and restoring a single, basic NNX model.   
 
Resources: 
Learn more → https://goo.gle/learning-jax

Subscribe to Google for Developers → https://goo.gle/developers 

Speaker: Robert Crowe

Hands-on techniques for debugging compiled JAX and Flax NNX models: when to disable JIT, use jax.debug_nans, and inspect with NNX.display and NNX.so.

Practical Debugging for JAX & Flax NNX — disabled_jit & NNX Tools

Debugging JAX & Flax NNX (Part 2)

You know that debugging is crucial when doing any kind of software development. JAX and Flax NNX offer amazing performance and a clean API, but debugging can feel different due to JAX's compilation model. Today, we'll bridge the gap, exploring how to debug JAX and NNX effectively, relating techniques back to your PyTorch experience. We'll focus specifically on the Flax NNX API.  In this second episode of our three part series on debugging we’ll build on the first by introducing more advanced and specialized techniques, including how to temporarily disable JIT and how to leverage the powerful, built-in inspection tools provided by Flax NNX.  

Resources: 
Learn more → https://goo.gle/learning-jax

Subscribe to Google for Developers → https://goo.gle/developers 

Speaker: Robert Crowe

Learn how chex.checks.chexify runs value-level assertions inside jitted JAX functions to catch NaNs, detect unexpected JITs, and debug Flax NNX models—plus tradeoffs.

Catch Value-Level Bugs in JAX: Advanced Chexify for Flax NNX

Enhancing Reliability (Part 2): Advanced Chex Techniques for JAX and Flax NNX

This second episode of our two part series on Chex builds on the fundamentals, introducing advanced tools for debugging values and performance, and then shows how to apply everything within a Flax NNX model.  

Resources: 
Learn more → https://goo.gle/learning-jax

Subscribe to Google for Developers → https://goo.gle/developers 

Speaker: Robert Crowe

Enhancing Reliability (Part 2)

A practical guide to the JAX AI stack: XLA-powered jit, grad and vmap plus Flax, Optax, Orbax and Grain for simple, fast, scalable ML development.

Practical JAX AI Stack Guide — jit, grad, vmap & Flax/Optax

Leveraging the JAX AI Stack

In this video we present an overview of the JAX AI Stack, focusing on how it can be used for high-performance model development and training. We'll draw parallels to PyTorch concepts, which you may be familiar with, to highlight the similarities and differences.

Resources: 
Learn more → https://goo.gle/learning-jax

Subscribe to Google for Developers → https://goo.gle/developers 

Speaker: Robert Crowe

See how AI-First Colab and Gemini turn raw data into interactive tables, time series, and animated maps—no plotting boilerplate. Workflow, examples, and export tips.

Create Interactive Data Visuals Fast with AI-First Colab & Gemini

Stunning Visualizations with AI-First Colab

Ready to visualize your data without writing a single line of code yourself? This video on visualization with AI-First Colab demonstrates how your Gemini-powered coding partner instantly turns your natural language requests into sophisticated, interactive data visualizations. You'll see how to generate a variety of powerful data outputs, including an interactive table of weather station data, a time series plot comparing temperatures in major cities, and an incredible animated heat map showing temperature movements across the world. AI-First Colab handles all the complexity, allowing you to focus on interpreting your results and telling your data story. See how you can accelerate your visualization workflow today.

Subscribe to Google for Developers → https://goo.gle/developers 

Products Mentioned:  Google AI, Colab

Technical deep-dive on securing autonomous AI agents: learn about prompt injection, data leakage, excessive permissions, and a 'Model Armor' pattern for layered defense.

Defense-in-Depth for AI Agents: Stop Prompt Injection & Data Leaks

How to Secure Your AI Agents: A Technical Deep-dive

AI agents introduce unique security challenges like prompt injection, data leakage, and excessive agency. This workshop breaks down the OWASP LLM Top 10 and demonstrates how to implement robust security controls using Model Armor and the Agent Development Kit (ADK). Learn how to filter malicious inputs, redact sensitive data from outputs, and manage authentication patterns to build secure and reliable agentic workflows.

Resources: 
Explore the Agent Development Kit → https://google.github.io/adk-docs/
Subscribe to Google for Developers → https://goo.gle/developers

Chapters:
0:00 - Introduction to agent security
1:32 - OWASP LLM top 10 vulnerabilities
2:56 - Sensitive information disclosure
4:10 - Excessive agency risks
5:11 - Input filtering with Model Armor
6:26 - Demo: blocking prompt injection
10:18 - Output filtering and PII redaction
11:09 - Demo: redacting sensitive data
12:43 - Authentication and authorization patterns
13:44 - Agent-to-tool authentication flow
16:13 - Managing API keys with Secret Manager
18:05 - Security for A2A and MCP protocols
19:22 -  Supply chain security measures
22:25 -Protecting agent access and integrity 

Subscribe to Google for Developers → https://goo.gle/developers  

Speaker: Sita Lakshmi 
Products Mentioned:  Agent Development Kit (ADK) 

#AIAgents #ADK #AgenticSecurity

How to secure your AI Agents: A Technical Deep-dive

Recap of GDG Summit MENA-T in Dubai: 130 organizers from 72 chapters aligned on practical AI, Cloud, and community playbooks — workshops, governance, and templates to scale chapters.

GDG Summit MENA-T Recap: Practical AI, Cloud & Community Strategies from Dubai

GDG Summit MENA-T: How 130 Organizers Aligned on AI, Cloud, and Community in Dubai

The MENA GDG Summit 2024 brought together 130 Google Developer Group (GDG) organizers from 72 chapters across 20 countries in Dubai to align on Google's strategy, especially around AI and Cloud. Watch now for highlights from the 3 parallel tracks of sessions and workshops!

Top Googlers, including Saad Ouchkir (Director of Customer Engineering, MENA) and Vikas Anand (Director of Product Management), were on the ground, ensuring maximum support and cutting-edge content.

Subscribe to Google for Developers → https://goo.gle/developers 

Products Mentioned: Google Developer Groups

GDG Summit MENA-T

Nikita Namjoshi explains how LLMs 'think': scaling laws, chain-of-thought prompting, test-time compute, best-of-n and reward models — practical tips for developers and curious users.

Inside Thinking LLMs: Scaling, Chain-of-Thought & Test‑Time Compute

How do thinking and reasoning models work?

LLMs that can "think" and "reason" have become increasingly popular. But what is a model actually doing when it's "thinking" and how can we train LLMs to be better at reasoning? This explainer video covers the fundamentals of how thinking models work, including concepts like scaling laws, test-time compute, and reinforcement learning from verifiable rewards.

Resources: 

Gemini thinking → https://goo.gle/3KaUL0J 

Subscribe to Google for Developers → https://goo.gle/developers 

Speaker: Nikita Namjoshi 
Products Mentioned:  Google AI

Turn painful framework upgrades into a single automated workflow. Learn how Google Antigravity plans, executes, and verifies migrations — with a concrete Flutter/Dart example.

Automate Framework Migrations with Google Antigravity

Simplify Framework Updates with Google Antigravity

Discover how Google Antigravity, an agentic development platform, simplifies complex framework updates. Learn how to update a Flutter and Dart application to its latest version, eliminating manual migration headaches. Moreover, see Antigravity's autonomous agents plan, execute, and verify complex tasks, including parsing change logs, fixing deprecation warnings, and ensuring application stability. See how you can improve your development workflow and accelerate building processes.

Resources: 
Download Google Antigravity → https://goo.gle/AGY 

Subscribe to Google for Developers → https://goo.gle/developers 

Speaker: Emma Twersky 
Products Mentioned:  Google AI, Google Antigravity

Simplify framework updates with Google Antigravity

Bite-sized Canva hacks to speed your workflow: cluster ideas with Whiteboards Sort, create editorial product shots with Background Generator, and use live presentation shortcuts.

Canva Tips & Shortcuts: Faster Brainstorms, Editorial Product Photos, Presentation Tricks

Quick design tips with the Canva team ✏️

Get ready to boost your creativity and productivity  ✨ Join a few members from the Canva team as they reveal their top tips and insider knowledge. Whether you're just starting out or already designing daily, you’ll walk away with ideas you’ll want to try right away!

🔖 For more lessons, tutorials, and certifications, go to: https://www.canva.com/design-school
💬 Any questions? Leave a comment below, and our team will get back to you.

#ProductivityTips #CanvaTutorial #CreativityTips

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