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Good morning ☀️, leader of the next generation.

Technology is reshaping how the world works.

The real question is not what it can do — but how we choose to use it.

We focus on using technology to support human evolution.

Progress works when responsibility stays human.

⚡ WHAT'S AT STAKE TODAY ⚡

  1. 🚗🤖 Nvidia launches Alpamayo, open AI models that allow autonomous vehicles to 'think like a human'
  2. 🗣️💻 Amazon's AI assistant comes to the web with Alexa.com
  3. 📺🔍 Google previews new Gemini features for TV at CES 2026
  4. 💎⚡ Nvidia launches powerful new Rubin chip architecture
  5. 🤖📱 Nvidia wants to be the Android of generalist robotics
  6. 🎯💬 Microsoft's Nadella wants us to stop thinking of AI as 'slop'
  7. 📈🔥 "What's most important is the hype factor, and today it means the AI factor"
  8. 🔴🤖 Reddit Launches AI-Powered Max Campaigns
  9. 🎮💻 AMD unveils new AI PC processors for general use and gaming at CES

Nvidia unveils open-source AI enabling human-like reasoning in autonomous vehicles

Nvidia launches Alpamayo, open AI models that allow autonomous vehicles to 'think like a human'

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Nvidia made waves at CES 2026 with the introduction of Alpamayo, a groundbreaking family of open-source AI models specifically designed to revolutionize autonomous vehicle technology. The new suite includes AI models, simulation tools, and comprehensive datasets aimed at training physical robots and vehicles to navigate complex real-world scenarios with human-like reasoning capabilities.

"The ChatGPT moment for physical AI is here – when machines begin to understand, reason, and act in the real world," declared Nvidia CEO Jensen Huang. He emphasized that Alpamayo represents a significant leap forward, enabling autonomous vehicles to think through unprecedented scenarios, drive safely in challenging environments, and provide clear explanations for their driving decisions.

At the heart of this innovation lies Alpamayo 1, a sophisticated 10 billion-parameter chain-of-thought, reason-based vision language action (VLA) model. This advanced system enables autonomous vehicles to approach problem-solving more like humans, tackling complex edge cases that have traditionally challenged self-driving technology. For instance, the system can navigate situations like traffic light outages at busy intersections without requiring prior experience with such scenarios.

Ali Kani, Nvidia's vice president of automotive, explained during Monday's press briefing that the system works by "breaking down problems into steps, reasoning through every possibility, and then selecting the safest path." This methodical approach mirrors human decision-making processes, potentially making autonomous vehicles significantly safer and more reliable.

During his keynote presentation, Huang elaborated on Alpamayo's comprehensive capabilities. The system doesn't merely process sensor input to control steering, brakes, and acceleration. Instead, it actively reasons about upcoming actions, communicates its intended decisions, explains the logic behind those decisions, and then executes the planned trajectory. This transparency could prove crucial for building public trust in autonomous vehicle technology.

Nvidia has made Alpamayo 1's underlying code freely available on Hugging Face, demonstrating the company's commitment to open-source development. This accessibility allows developers worldwide to fine-tune the model for their specific needs, creating smaller and faster versions for vehicle development, training simpler driving systems, or building complementary tools such as auto-labeling systems for video data analysis and decision evaluation systems.

The Alpamayo ecosystem integrates seamlessly with Nvidia's existing Cosmos platform, the company's generative world models that create detailed representations of physical environments. Developers can leverage Cosmos to generate synthetic training data, which can then be combined with real-world datasets to train and test Alpamayo-based autonomous vehicle applications more effectively.

Complementing the AI models, Nvidia is releasing an extensive open dataset containing over 1,700 hours of driving data collected across diverse geographical locations and varying conditions. This comprehensive dataset captures rare and complex real-world scenarios that are essential for training robust autonomous driving systems capable of handling unexpected situations.

Additionally, the company introduced AlpaSim, an open-source simulation framework now available on GitHub. AlpaSim is specifically designed to validate autonomous driving systems by recreating authentic real-world driving conditions, including accurate sensor modeling and realistic traffic patterns. This simulation environment enables developers to conduct extensive testing at scale without the risks and costs associated with real-world testing.

The launch of Alpamayo represents a significant milestone in autonomous vehicle development, potentially accelerating the industry's progress toward fully autonomous transportation. By combining human-like reasoning capabilities with open-source accessibility, Nvidia is positioning itself at the forefront of the next generation of AI-powered transportation solutions.

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Amazon launches Alexa+ web platform to compete with ChatGPT

Amazon's AI assistant comes to the web with Alexa.com

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Amazon unveiled Alexa.com at CES 2026, bringing its AI-powered Alexa+ assistant to the web for Early Access customers. The platform competes with ChatGPT and Google Gemini, offering chatbot-style interactions online and through an updated mobile app.

Amazon differentiates Alexa+ by focusing on family needs—controlling smart devices, managing calendars, making reservations, and handling grocery lists. With integrations including Expedia, Yelp, and Uber, Amazon aims to position Alexa+ as a comprehensive home management hub, leveraging personal data to coordinate family activities and schedules effectively.

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Supercharged Podcast

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We sit down with industry leaders, founders, builders, and operators who are actively using AI — or building AI-first businesses — to understand how it’s actually changing the way work gets done.

From strategy and systems to experimentation and execution, these are practical, honest conversations with people shaping what comes next.

👉 Explore the Supercharged Podcast

⚡ Trends for the Future

AMD unveils new AI PC processors for general use and gaming at CES

AMD launches new AI-powered processors promising faster performance and gaming.

AMD Chair and CEO Lisa Su opened her CES 2026 keynote with an ambitious vision: delivering AI for everyone through next-generation computing. The semiconductor giant announced its latest AMD Ryzen AI 400 Series processor, positioning AI-powered personal computers as the future of everyday computing.

The new Ryzen AI 400 Series represents a significant leap forward, offering 1.3x faster multitasking performance compared to competitors and 1.7x faster content creation speeds. These processors feature 12 CPU cores and 24 threads, marking a substantial upgrade from the Ryzen AI 300 Series that debuted in 2024. AMD first launched its Ryzen processor series in 2017.

Rahul Tikoo, senior vice president and general manager of AMD's client business, highlighted the company's expansion to over 250 AI PC platforms, representing a 2x growth over the past year. "In the years ahead, AI is going to be a multi-layered fabric that gets woven into every level of computing at the personal layer," Tikoo explained during the press briefing.

For gaming enthusiasts, AMD also unveiled the AMD Ryzen 7 9850X3D, the latest iteration of its gaming-focused processor line. This announcement underscores AMD's commitment to serving both general computing and specialized gaming markets.

Tikoo emphasized AI's transformative potential, noting that users have thousands of daily interactions with their PCs. "AI is able to understand, learn context, bring automation, provide deep reasoning and personal customization to every individual," he said.

The company also introduced the latest version of its Redstone ray tracing technology, which simulates the physical behavior of light to enhance video game graphics without compromising performance or speed.

PCs equipped with either the Ryzen AI 300 Series processor or the AMD Ryzen 7 9850X3D processor will become available in the first quarter of 2026, bringing AMD's vision of accessible AI computing closer to reality.

Digital Brainstorm

⚡ Let’s Make AI Actually Useful:
What Would Move the Needle in *Your* Industry?

AI has potential — but generic advice rarely helps.

What would be genuinely valuable for AI to do in your industry right now?

• Automate a painful workflow?
• Improve decision-making?
• Replace a manual process that wastes time?
• Help your team upskill faster?

Tell us what you’d want AI to handle — or where you feel stuck.

We’re using these insights to curate **industry-specific trainings, live webinars, and practical guidance** you can actually apply.

AI will be humanity's greatest collaborative tool, helping us unlock solutions we never imagined and build a future where innovation creates opportunities for all.

Cal Henderson

Cal Henderson is the co-founder and CTO of Slack, where he built the technical infrastructure that enables millions of teams worldwide to communicate and collaborate seamlessly in real-time. His engineering leadership in creating one of the most reliable and scalable workplace platforms has transformed how modern teams work together, and he continues to advocate for using technology to reduce friction in collaboration and make work more productive and enjoyable.

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