Meta's Next Big Move is Robotics

Nvidia Invests 500M in Tesla Rival

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AI PlanetX

Welcome to another edition of AI PlanetX.

Meta pours billions into humanoid robotics; Nvidia fuels Tesla rival with $500M; Walmart signals AI-driven job shifts.

Inside This Edition: đź’Ž

  • Hottest AI News

  • Top AI & SaaS Tools

  • AI Trend Watch: Create Short Videos with AI Agent

  • Top AI & Tech News

  • AI Art Spotlight

  • Prompt of the Day: Master Copywriting Skills

  • AI Video Tutorial

  • Course of the Day: Advanced LLM Agents by UC Berkeley

Hottest AI News

Meta

Meta Invests Billions in Humanoid Robots as Next Major Priority

Meta is making a bold push into humanoid robots. CTO Andrew Bosworth says the company will invest billions into building robotic software platforms, calling it an “AR-sized bet.” It marks Meta’s ambitious move into robotics, with a unique strategy for how it aims to dominate the market.

Details:

  • Meta has launched a robotics effort under Zuckerberg, led by Marc Whitten and MIT’s Sangbae Kim. Their prototype “Metabot” is in the works, but CTO Andrew Bosworth says hardware isn’t the priority. The real challenge is software, especially dexterous control like lifting a glass without breaking it

  • Meta’s strategy is platform-first, aiming to license robotics software like Google did with Android. Backed by Alexandr Wang’s Superintelligence AI lab, the team is building “world models” to simulate the data and sensors

  • Unlike Tesla’s Optimus, Meta doubts real-world training data will be enough. Tesla relies on vision systems, while Meta focuses on simulation and AI models. They’re also testing chips from Nvidia and Qualcomm. Bosworth notes early robots don’t need full human dexterity — “two thumbs” may be plenty

Meta’s robotics push leans on its AI and software strengths, aiming to be the leading platform in the coming robotics wave, though key details are still unfolding.

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Nvidia

Nvidia Invests $500M in Tesla Robotaxi Rival After CEO Calls It "Trillion Dollar Company"

Nvidia is making a big play in autonomous driving, directly targeting Tesla’s robotaxi push. The chip giant plans to invest $500M in UK AI startup Wayve, the same firm powering Nissan’s self-driving tech, which it claims outperforms Tesla’s Full Self-Driving.

Details:

  • Wayve built a turnkey autonomous driving system that runs as an end-to-end neural network, trained on massive camera vision data instead of rigid algorithms and HD maps. Its “embodied AI” reads whole driving scenes, anticipating events like a human driver

  • Nissan is the first big customer, testing its ProPilot robotaxi on Ariya EVs in Tokyo. The Level 4 system is claimed to be “smarter than Tesla’s FSD,” with rollout set for 2027 on Nvidia Drive Thor hardware

  • After a London demo, Jensen Huang called Wayve “the next trillion-dollar company.” That ride helped secure a $500M Nvidia investment, adding to the $1B Wayve already raised from Nvidia, Uber, and SoftBank

Nvidia’s move expands beyond its $100B OpenAI stake, aiming to rival Tesla’s robotaxi with Wayve’s human-like driving AI. But regulatory hurdles and adoption will decide if this trillion-dollar play succeeds.

Top AI & SaaS Tools

  • AI Sales Rep for LinkedIn (Life-time Deal): AI sales assistant that finds, engages, and books demos with prospects 24/7 in 100+ languages—replacing LinkedIn Sales Navigator

  • Anything Max: Autonomous software engineer that uses its own browser to test, debug, and build features, claiming to fix 97%+ of tough bugs and ship features autonomously [F-R-E-E]

  • VoxCPM: TTS that generates continuous, context-aware, highly expressive speech and enables accurate zero-shot voice cloning [F-R-E-E]

  • Qwen3-Coder: Upgraded with the latest qwen3-coder-plus API (improved terminal tasks, SWE-Bench up to 69.6, safer code) and supports images and sub-agents [F-R-E-E]

  • FastVLM: Apple’s vision-language model that works real time in the browser, handling high-res images more efficiently and with smaller size [F-R-E-E]

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AI Trend Watch

Create Short Videos on Any Topic with AI Agent 🤯

The post highlights DeepAgent, a tool that creates short videos for TikTok and Instagram Reels, helping users become AI influencers. It features a cooking example—avocado toast—demonstrating visually engaging content for $10/month.

Top AI & Tech News

  • Walmart’s CEO warned that AI will “change literally every job,” and despite growth plans the company expects headcount to remain flat

  • Anthropic plans a major international expansion — tripling its non-US workforce and quintupling its applied AI team this year — to meet strong global demand

  • UAE President met OpenAI CEO Sam Altman at Qasr Al Shati in Abu Dhabi to discuss expanding cooperation in AI research and practical applications

  • Microsoft is testing an AI Photos feature on Copilot Plus Windows 11 that auto-sorts images into receipts, screenshots, IDs, and notes

AI Art Spotlight

Model: Midjourney V7

Prompt:

a blue samurai in traditional regalia sits on a hillside surrounded by poppies against the backdrop of a dark deep sky, in a comic book style with bright colors and minimalism, in the style of katsuhiro otomo. The color palette consists of blue, black and red, with clear lines and high resolution. --ar 71:128 --v 7

Prompt of the Day

Prompt for Mastering Copywriting Skills

This prompt turns you into a master copywriting mentor who guides students through psychological discovery and hands on practice to build persuasive, human centered copy. It focuses on asking targeted questions, teaching core drivers of decision making like emotion identity and social proof, and using real world examples and exercises so learners connect principles to their own experiences.

Top AI Video Tutorial

11 F-R-E-E Google AI Tools You Need to Know

Complimentary AI Course of the Day

Advanced Large Language Model Agents by UC Berkeley [Spring 2025]

This course covers advanced topics in LLM agents, including reasoning, AI for mathematics, code generation, and program verification. It introduces advanced inference and post-training for building agents that search and plan, then explores how LLMs can prove math theorems and generate or reason about code.