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Category: transportation – Page 3

Cybercab Game Changers Tesla & Elon Kept Under Wraps

Questions to inspire discussion.

Design & Manufacturing Innovation.

🔧 Q: Why were conventional door locks added despite weight concerns? A: Conventional door locks on frameless doors were likely required for global market compliance, though positioning locks closer to the pivot point reduces the work required compared to weight at the door’s end.

Tire Optimization for Taxi Operations.

🛞 Q: What tire specifications optimize Cybercab for taxi service? A: 20–22 inch tires with thicker sidewalls provide smoother ride at lower speeds typical of taxi use, require less frequent changes, and achieve 6–7 miles per kilowatt hour efficiency through reduced rolling resistance.

Accessibility Features.

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Gmail’s new AI Inbox uses Gemini, but Google says it won’t train AI on user emails

Google says it’s rolling out a new feature called ‘AI Inbox,’ which summarizes all your emails, but the company promises it won’t train its models on your emails.

On Thursday, Google announced a new era of Gmail where Gemini will be taking over your default inbox screen.

Google argues that email has changed since 2004, as users are now bombarded with hundreds of emails every week, and volume keeps rising.

Synchronizing ultrashort X-ray pulses for attosecond precision

Scientists at the Paul Scherrer Institute PSI have, for the first time, demonstrated a technique that synchronizes ultrashort X-ray pulses at the X-ray free-electron laser SwissFEL. This achievement opens new possibilities for observing ultrafast atomic and molecular processes with attosecond precision.

Scrutinizing fast atomic and molecular processes in action requires bright and short X-ray pulses—a task in which free-electron lasers such as SwissFEL excel. However, within these X-ray pulses the light is internally disordered: its temporal structure is randomly distributed and varies from shot to shot. This limits the accuracy of certain experiments.

To tame this inherent randomness, a team of PSI researchers has succeeded in implementing a technique known as mode-locking to generate trains of pulses that are coherent in time. “We can now obtain fully ordered pulses in time and frequency in a very controlled manner,” says accelerator physicist Eduard Prat, who led the study, published in Physical Review Letters.

Will NVIDIA KILL Tesla Robotaxi?

Questions to inspire discussion.

Development & Deployment.

A: Alpameo offers open model weights, open-source inference scripts, simulation tools for edge case testing, and open datasets for training, enabling developers to adapt it into smaller runtime models or build reasoning-based evaluators and autolabeling systems.

Technical Architecture.

🧠 Q: What model architecture powers Alpamayo’s autonomous driving capabilities?

A: Alpameo uses 10B parameter models across five specialized functions: vision, language, action, reasoning, and trajectory generation, forming an integrated reasoning system for autonomous vehicles.

Continue reading “Will NVIDIA KILL Tesla Robotaxi?” | >

Should Tesla Investors Be Worried? NVIDIA vs Tesla

Despite NVIDIA’s advancements in self-driving technology, Tesla’s current lead in autonomous driving, production, and cost advantages are likely to keep it ahead of competitors, including NVIDIA, in the short term Questions to inspire discussion.

Platform Architecture & Business Model 🔧 Q: What type of product is Nvidia’s AI Pameo platform? A: Nvidia’s AI Pameo is a hardware and software toolset for OEMs requiring millions in non-recurring engineering fees and 70% gross margins on chips per vehicle, not a complete consumer solution like Tesla’s FSD. 🏭 Q: What does OEM implementation of Nvidia’s platform require? A: OEMs must have in-house AI talent to integrate, customize, certify, and handle warranty and liability for their specific vehicle models, as Nvidia provides the stack but not per-model engineering. 💰 Q: How does Tesla’s chip economics compare to Nvidia’s approach?

Tesla’s SECRET Robotaxi Plan That Changes Transportation For EVERYONE

Tesla’s RoboTaxi plan aims to revolutionize transportation by creating a global, autonomous, and integrated system that could potentially replace traditional car ownership and transform the way people move around.

Questions to inspire discussion.

Cost Optimization Strategy 🚗 Q: How can I minimize transportation costs using Tesla’s pricing tiers? A: Tesla’s AI-controlled pricing offers three tiers: $1 per mile for occasional trips, $60 per day for daily rentals, and $600 per month for leasing, with real-time switching between options based on your usage patterns to optimize costs. 💰 Q: How does AI-generated pricing adapt to my changing transportation needs? A: The system enables seamless switching between $1 per mile and $60 per day options similar to phone plans, with real-time adjustments that automatically select the most cost-effective tier based on current usage.

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