Documentary-backed analysis of Theodor Morell’s diaries, “Patient A” records and eyewitness testimony revealing Hitler’s chronic illness, drug dependence and its political consequences.

How Theodor Morell’s Treatments Weakened Hitler

Hitler’s Last Doctor Reveals the Whole Truth — Documentary Report

V posledních letech Třetí říše se za obrazem nezničitelného vůdce, který nacistická propaganda prezentovala, skrýval nemocný, závislý a svým osobním lékařem Theodorem Morellem ovládaný muž. Hitler trpěl mnoha neduhy — zažívacími problémy, nespavostí, třesem a nervovými krizemi — které ho činily vězněm režimu injekcí, pilulek a experimentálních léčeb. Führerova kancelář se změnila v improvizovanou chemickou laboratoř, kde mu každá dávka umožňovala zůstat na nohou, avšak za cenu fyzického i psychického úpadku.

Tento dokument odhaluje lékařská tajemství, která zůstávala po desetiletí skrytá v archivech Třetí říše. Morellovy poznámky ukazují, jak se z Hitlera stal posedlý pacient, podrobený nebezpečnému koktejlu vitaminů, zvířecích hormonů, stimulantů a sedativ. Jeho závislost dosáhla alarmujících rozměrů: nemohl spát bez léků ani vést porady bez svých „zázračných injekcí“. Mýtus o neomylném vůdci se ve skutečnosti opíral o tělo v rozkladu a mysl ovládanou strachem z nemoci.

Když se válka chýlila ke konci, pouto mezi Hitlerem a Morellem se přetrhlo. Diktátor, stále paranoičtější a slabší, vyhnal lékaře ze svého bunkru krátce před svou sebevraždou. O několik let později dokumenty odhalily pravdu: „železný muž“ Třetí říše byl chronicky nemocný člověk, uměle udržovaný při životě drogami a improvizovanou léčbou. Tento dokument odhaluje skrytý příběh Hitlerova posledního lékaře a ukazuje, jak se medicína stala nejintimnějším odrazem pádu nacistického režimu.

Poslední Hitlerův lékař odhaluje celou pravdu! | Dokument

OpenAI and Broadcom are co-designing inference-optimized chips and a full systems stack to deliver an additional 10 GW of compute, with rack deployments starting late next year.

OpenAI + Broadcom: Co-Designing Inference Chips & a 10GW AI Systems Platform

OpenAI x Broadcom — The OpenAI Podcast Ep. 8

OpenAI and  Broadcom are teaming up to design our own chips—bringing lessons from building frontier models straight into the hardware. In partnership with Broadcom and alongside our other partners, we’re creating the next generation of AI infrastructure to meet the world’s growing demand.


In this episode, OpenAI’s Sam Altman and Greg Brockman sit down with Broadcom’s Hock Tan and Charlie Kawwas to announce a new partnership focused on custom AI chips and systems that could redefine what’s possible in computing.


Chapters
00:00 Announcing the partnership
03:06 The scale of AI infrastructure
06:03 Collaboration and innovation in chip design
08:49 Historical context and future vision
12:10 Role of compute in AI development
15:01 Optimizing for specific workloads
18:02 Journey towards AGI
21:00 Future of AI and compute capacity
23:50 Wrap-up and future projects

A first-person report of veterans’ late testimonies from the Eastern Front: starvation, moral collapse under orders, delayed confessions and the unspooling of the 'clean Wehrmacht' myth.

Late Confessions from the Eastern Front — Hunger, Obedience and Memory

Dark Confessions from the Eastern Front After World War II — A Report

Desítky let po skončení druhé světové války začali němečtí vojáci, kteří přežili východní frontu, promlouvat. To, co zůstávalo po léta nevyřčeno, se objevilo v podobě děsivých přiznání: hlad, strach, vina a krutá realita konfliktu, v němž se lidství ztratilo v blátě a sněhu. Od Stalingradu po Berlín muži, kteří sloužili Říši, přiznali, že tam nebyla žádná sláva – jen přežití, slepá poslušnost a nesnesitelná tíha toho, že byli svědky — a často i účastníky — pekla bez vykoupení.

V pozdních pamětech, ukrytých denících a rozhovorech vedených ve stáří mnozí veteráni popsali skutečnou tvář války: zmrzlá těla v zákopech, vypálené vesnice, popravené zajatce, druhy umírající hladem či vyčerpáním. Někteří se přiznali ke zločinům, jiní k mlčenlivému spoluvinictví, a všichni se shodli, že východní fronta zničila hranici mezi dobrem a zlem. Válka je proměnila v poslušné stroje, neschopné samostatného myšlení, uvězněné mezi loajalitou k vůdci a vědomím, že páchají zvěrstva.

Tato přiznání, po desetiletí skrytá, odhalují nejen brutalitu konfliktu, ale i psychické dědictví, které zanechal v těch, kdo jej přežili. Vojáci, kteří se vrátili z Východu, s sebou nepřinesli vítězství, ale noční můry a výčitky svědomí. Jejich slova, pronesená v době, kdy se již nebáli soudu, představují poslední svědectví generace zlomené válkou a fanatismem. „Temná přiznání z východní fronty“ odhalují nejnepohodlnější pravdu: že i po porážce zůstal hrůzný zážitek živý v paměti těch, kteří ho prožili.

Temná přiznání z východní fronty po druhé světové válce

See how AI-first Colab and Gemini’s AI Companion turn notebooks into active coding partners—auto-generating code, running analyses, producing interactive visualizations, and recovering from errors.

Gemini-Powered Colab: Notebooks as Intelligent Coding Partners

Supercharge Your Workflows with AI-First Colab

Learn how to supercharge your productivity with AI-first Colab: a true coding partner in your notebook, allowing you to unlock data science, machine learning, and AI workflows with unprecedented scale and ease.

You'll see how to go from an empty notebook to a full-fledged analysis, interactive visualization, and images of delicious ice cream products within minutes - without having to write a single line of code yourself!

Get started with AI-First Colab → https://goo.gle/3VS0mes 

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

Products mentioned: Gemini

How the Model Context Protocol (MCP) lets Claude and other LLMs access web docs, browsers, and tools—covering remote MCP servers, Context7, Playwright, and developer tips.

Model Context Protocol & Claude API — Connecting LLMs to Tools, Web, and Devices

Building with MCP and the Claude API: How the Model Context Protocol Connects LLMs to the World

Anthropic’s Alex Albert (Claude Relations), John Welsh (Engineering, MCP team), and Michael Cohen (Engineering, Claude API team) discuss the origins of the Model Context Protocol (MCP), the open standard for connecting AI applications to external systems, best practices for getting started with MCP, and how MCP and Claude work together to enable more powerful agentic systems. 

00:00 - Introductions
00:30 - What is MCP?
1:30 - The origins of MCP
2:50 - Open sourcing MCP
5:00 - Remote MCP support
6:15: MCP registries 
7:40 - Favorite MCPs: Context7 & Playwright 
10:40 - Using the Claude API MCP connector 
11:50 - Prompt engineering with MCP
14:20 - Best practices for managing context and tools with MCP
18:20 - How John and Michael use MCP servers for project management, home automation, and more
20:00 - Understanding the “emergent” behaviors when Claude and MCP servers work together
22:50 - The future of MCP: growth of the protocol and ecosystem
 
Learn more about MCP: https://modelcontextprotocol.io/docs/getting-started/intro

Learn more about the Claude Developer Platform: https://www.claude.com/platform/api

Learn more about how to write effective tools for AI agents: https://www.anthropic.com/engineering/writing-tools-for-agents

Building with MCP and the Claude API

Practical report on how ChatGPT speeds writing, research, coding, and creative work—real team examples, trade-offs, and steps for safe, measurable deployment.

How ChatGPT Transforms Workflows: Faster Writing, Research, Code & Creativity

What Work Looks Like with ChatGPT: Write, Research, Code, Create

ChatGPT is becoming a bigger part of everyday work. It helps teams move from idea to execution faster, analyzing data, writing code, researching topics, and taking action across tools.

This short video shows how AI is making work faster, simpler, and more secure. See how teams are customizing ChatGPT for their business, deploying agents, collaborating more effectively, and getting work done, all while keeping their data private and protected.

Get started: http://bit.ly/4ovMgvN

What Work Looks Like with ChatGPT | Write, Research, Code, Create

Plain-language briefing from a Canva product team member on ownership, commercial use, admin controls, privacy and practical rollout advice for using Canva AI.

Canva AI Guide: Ownership, Commercial Use & Admin Controls

Answers to common AI questions — For when your team want convincing

🔖 This video is part of the Work smarter with AI course and certification. Watch them all at: https://designschool.canva.com

Get clarity on Canva AI: ownership, safety, privacy, and commercial use. Learn best practices so you and your team can create with peace of mind.

💡 WHAT YOU'LL LEARN ⏳
00:32 Understand ownership of AI-generated designs
02:11 Use Canva AI designs for commercial projects safely
02:54 Manage team permissions for AI tools in Canva
03:54 Find and follow Canva’s AI product terms and policies
04:14 Protect your team with Canva Shield safety features
04:43 Foster responsible, transparent AI use at work

💬 Any questions? Leave a comment below, and our team will get back to you. 

💻 Try it out today: https://canva.me

David Begnaud reports from Malawi on Canva & GiveDirectly’s $550 cash transfers — stories of dignity, local investment, and how direct cash is changing lives.

Unconditional Cash Transfers in Malawi — On-the-Ground Report

On the Ground in Malawi: Stories of Change with Canva & GiveDirectly

Award-winning journalist David Begnaud traveled to Malawi to meet families receiving direct cash support through Canva’s partnership with GiveDirectly. Since 2021, Canva has provided $50 million directly to people living in extreme poverty, empowering them to make the best choices for their lives and futures. Canva has pledged an additional $100 million commitment over four years, to continue this life-changing work.

Explore how Gemini brings conversational AI, multimodal camera intelligence, a redesigned Home app, Gemini Live, and Google Home Premium — rolling out to most Google devices this October.

Gemini Powers Google Home — Welcome to Home 2.0

The AI Smart Home is Finally Here: Gemini Powers Up Google Home

In this episode of the Made by Google Podcast, we're stepping into the Gemini era of the smart home. Join our host, Rachid Finge, as he talks with Anish Kattukaran, Senior Director of Product Management for Google's home team, about the massive new updates coming to Google Home.

Discover how Gemini is transforming your smart home, upgrading your existing speakers, displays, cameras, and doorbells with more natural and conversational AI. Learn about the beautifully redesigned Google Home app, which is now faster, simpler, and finally brings all your Nest devices into one place. Anish also shares exciting news about the new Google Home Premium subscription and a whole new portfolio of hardware, including the new Google Home speaker and our best-ever Nest cameras.

02:46 What is Gemini for the Home?
14:25 New AI Camera Intelligence
24:55 The Redesigned Google Home App
35:10 Introducing the Google Home Premium Subscription
42:50 Hardware Reveal: New Speakers & Cameras

#GoogleGemini #GoogleHome #MadeByGoogle #TechPodcast

Subscribe to our Channel: https://www.youtube.com/google
Find us on X: https://twitter.com/google
Watch us on TikTok: https://tiktok.com/@google
Follow us on Instagram: https://www.instagram.com/google
Join us on Facebook: https://www.facebook.com/Google

The AI Smart Home is Finally Here: Gemini Powers Up Google Home | Made by Google Podcast S8E6

An inside look at how OpenAI turned top operators into agent-driven workflows for sales, HR, and support—saving reps ~1 day/week, deflecting ~70% of tickets, and scaling expertise.

How OpenAI Built Agentic AI to Amplify Internal Expertise

OpenAI on OpenAI: Applying AI to Our Own Workflows

Ever wonder how OpenAI is using our own technology? Discover how we build reliable agents for sales, support, finance, and data, then take home a framework for spotting and scaling high-leverage use cases.

Step-by-step walkthrough of how Christina Huang built "Ask Froge" with AgentKit: visual workflow builder, multi-agent routing, PII guardrails, and Chat Kit embedding—live in under 8 minutes.

Build & Embed an AI Event Assistant with AgentKit in Minutes

AgentKit Demo: Building and Embedding an AI Agent in Minutes

Follow along as Christina Huang builds and embeds an AI agent powered by AgentKit directly into the OpenAI Dev Day website in under 8 minutes.

Christina quickly builds an agent that:
- Creates personalized agendas based on attendees' interests
- Provides real-time answers about sessions, speakers, and logistics
- Answers general questions about Dev Day

Built entirely with OpenAI’s platform tools, this quick walkthrough highlights just how fast and flexible it is to design, deploy, and embed intelligent assistants using AgentKit.

AgentKit Demo

Inside an OpenAI civic demo: how Solve SF uses on-device image classification and GPT-5 to turn photos into 311 reports—100,000+ submissions and measurable municipal impact.

AI in the City: How Solve SF Turns Photos into 311 Reports

Built for SF by SF: AI Solutions Helping Our City Thrive

No city embraces the future like San Francisco. Get inspired by local developers using AI to tackle real challenges: making SF services work, improving housing options, and strengthening community.

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