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- 🚗 Nvidia Expands AI Into Self Driving Cars...
🚗 Nvidia Expands AI Into Self Driving Cars...
California Proposes AI Toy Chatbot Ban
Saidul Islam
January 07, 2026
Welcome back to BrainBuzz
Today’s Recipes:
🚗 Nvidia Expands AI Into Self Driving Cars...
🤖 Lenovo Builds AI That Acts for You
💊 Utah Rolls Out AI Medication Prescribing
Boston Dynamics Debuts Ready to Work Atlas
Lovense Introduces AI Doll at CES
California Proposes AI Toy Chatbot Ban
AI Tutorial of the Day
And More….
LATEST DEVELOPMENTS
Nvidia launches Alpamayo, an open-source self-driving AI with “reasoning,” Mercedes demoed, robotaxi plans coming, and Rubin chips to cut energy costs later this year.
Details
Step 1: Nvidia unveils Alpamayo at CES to bring “reasoning” to autonomous driving for rare scenarios and explain decisions.
Step 2: Alpamayo is open-source; code is available on Hugging Face for researchers to retrain.
Step 3: Mercedes partnership: a driverless car powered by Alpamayo launches in the US first, then Europe and Asia.
Step 4: Nvidia plans a robotaxi service next year with an unnamed partner.
Step 5: Rubin AI chips are being manufactured; release later this year with lower energy use and cost potential.
Step 6: Analyst says Nvidia’s pivot to AI systems keeps it ahead; shares rose slightly after-hours post-presentation.
Step 7: Elon Musk notes the “long tail” challenge, getting beyond 99% reliability is hard.
Takeaway: Nvidia is shifting from pure compute to a platform for physical AI. Open-sourcing Alpamayo and advancing efficient Rubin chips could accelerate safe, scalable autonomy across cars and robotaxis.
Lenovo unveils Qira, a system-level AI for Lenovo PCs and Motorola phones, built to act on your behalf and avoid single-model lock-in, launched at CES 2026.
Details
Launch: Lenovo announced Qira at CES, positioning it as a system-level assistant spanning laptops and phones.
Scope: Qira is designed to “act on your behalf,” living across Lenovo PCs and Motorola devices.
Strategy: Lenovo avoids exclusive AI partnerships, aiming for flexibility across models and platforms.
Org shift: Lenovo centralized AI teams into a company-wide software group to accelerate cross-device integration.
Lessons: Qira draws from Moto AI experiments and Microsoft’s Recall backlash to prioritize trust and utility.
Takeaway: By embedding Qira across devices and staying model-agnostic, Lenovo is turning hardware reach into everyday, trusted AI utility.
Utah pilots AI-only prescription renewals via Doctronic, testing trust, safety, and regulation for 190 meds; doctors review early outputs, FDA oversight uncertain.
Details
Program start: Utah launched a pilot allowing an AI to renew certain chronic-condition prescriptions without a human doctor involved.
Scope and exclusions: The system covers 190 common medications; pain, ADHD drugs, and injectables are excluded for safety.
Process: Patients verify Utah location, AI reviews prescription history and clinical questions, then sends approved renewals to pharmacies.
Safety checks: AI escalates uncertain cases to physicians; doctors review the first 250 renewals in each medication class before autonomy.
Performance claim: Doctronic reports 99.2% alignment with physicians across 500 urgent care cases; the system carries unique malpractice coverage.
Cost: Renewals cost $4 initially, with plans to lower prices and pursue insurance coverage over time.
Regulatory outlook: FDA hasn’t weighed in; authority could hinge on whether AI is seen as “practicing medicine” or a regulated device.
Expansion plans: Doctronic is in talks with Texas, Arizona, Missouri, and exploring national approval pathways.
Stakeholder debate: Utah touts access and cost benefits; AMA and pharmacy boards warn of safety, misuse, and oversight challenges.
Takeaway: If Utah’s pilot proves safe, AI could streamline medication access at scale, but trust, guardrails, and clear FDA-state roles are pivotal.
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MORE AI & TECH UPDATES
Boston Dynamics has officially unveiled the production-ready version of its humanoid robot, Atlas, at CES 2026. After years of prototypes and public demos, Atlas is now entering real-world deployment, marking a major milestone in robotics…
At CES 2026, Lovense unveiled “Emily,” an AI-powered companion doll designed to address loneliness by offering human-like cognition, emotional awareness, and expressive behavior…
California lawmaker Senator Steve Padilla (D-CA) has proposed a bill, SB 867, that would impose a four-year ban on the sale and manufacture of toys with AI chatbot capabilities for children under 18…
At CES 2026, laptop makers showcased not just faster processors but a clear shift toward modularity, repairability, and sustainability…
POLL OF THE DAY
HOW TO AI
This course, "AI for Business: Generation and Prediction," dives into the foundations and practical applications of Generative AI in a business context. You'll explore the history of AI, learn how to leverage Generative AI for content creation and financial forecasting, and understand the ethical implications of AI in the business world.
Key Benefits of This Course:
Promote Critical Thinking: Analyze the historical evolution of AI and Generative AI.
Identify Advantages: Differentiate between various generative AI models and pinpoint their strengths across different frameworks.
Implement Strategies: Construct effective strategies for integrating generative AI applications into your business environment.
Illustrate Advantages: Understand the practical advantages and benefits of implementing generative AI in real-world business scenarios.
THAT’S A WRAP
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