Gemini 2.0 goes Pro

Good morning, AI enthusiasts. Google’s latest answer within the AI model race just landed, and it’s bringing a complete family of latest models to the scene.

But with OpenAI’s buzzy o3 grabbing headlines and a couple of.0 Pro’s modest benchmark gains, can these latest releases keep Google’s December hype train rolling?

Speaking of o3… OpenAI recently launched ‘Deep Research’ — and our next workshop on Friday will teach you tips on how to leverage this powerful latest tool (and benefit from free alternatives). Learn more and register here.

In today’s AI rundown:

• Google rolls out Gemini 2.0 lineup with Pro

• Nvidia’s AI teaches robots to maneuver like athletes

• Tips on how to research and validate business ideas with AI

• OpenAI signals hardware push with trademark filing

• 4 latest AI tools & 4 job opportunities

LATEST DEVELOPMENTS

GOOGLE

✨ Google rolls out Gemini 2.0 lineup with Pro

The Rundown: Google just unveiled several latest AI models in its Gemini 2.0 lineup, including the highly anticipated Pro Experimental and the cost-efficient Flash and Flash Lite, which also makes its Flash Pondering reasoning model available to all app users.

The main points:

• 2.0 Pro Exp. contains a massive 2M token context window and excels at coding tasks, with enhanced capabilities for complex prompts and world knowledge.

• A brand new budget-friendly 2.0 Flash-Lite model delivers higher performance than 1.5 Flash while maintaining the identical speed and pricing.

• The two.0 Flash Pondering Experimental reasoning model is now freely available within the Gemini app, showing users step-by-step thought processes in real time.

• All latest models feature multimodal input capabilities, with outputs like image generation and text-to-speech planned for release in the approaching months.

Why it matters: Google has officially made the leap many were waiting for with its flagship 2.0 Pro model — but unlike the high-powered December releases that were major steps up on the competition, 2.0 Pros benchmarks look a bit underwhelming in comparison with each 1.5 Pro and the present hype surrounding OpenAI’s latest releases.

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NVIDIA

🏀 Nvidia’s AI teaches robots to maneuver like athletes

The Rundown: Nvidia and Carnegie Mellon researchers just introduced ASAP, an AI framework that lets humanoid robots learn complex movements from simulations — enabling the replication of iconic celebrations and moves from skilled athletes.

The main points:

• The system works in two stages: initial training in simulation followed by a specialized neural network that adapts movements for real-world physics.

• Unitree G1 robots demonstrated complex motions in testing, including recreating moves from athletes like LeBron James and Cristiano Ronaldo.

• The framework reduced motion errors by 53% in comparison with existing methods — a serious advance in bridging the gap between virtual and physical training.

• Hardware limitations remain difficult, with two test robots suffering damage from overheated motors during high-intensity movements.

Why it matters: The acceleration in robotic movement capabilities during the last yr has been mind-blowing—and what higher solution to show it than through a few of the world’s most iconic celebrations? As training gets faster and more efficient, the subsequent step could also be for robots to take the actual field in leagues of their very own.

Try video footage of the movements here.

AI TRAINING

🔍 Research and validate business ideas with AI

The Rundown: On this tutorial, you’ll learn tips on how to use Perplexity with the brand new DeepSeek model to rapidly validate business ideas by analyzing market opportunities, competition, and viability.

Step-by-step:

1. Enable Perplexity Pro and DeepSeek reasoning (5 free each day searches for brand spanking new users).

2. Provide your corporation idea and ask to research market fundamentals with targeted prompts.

3. Request to research competition and revenue models and create your validation roadmap using its insights.

Pro tip: Use your free DeepSeek searches strategically – save them for complex queries that require advanced reasoning somewhat than basic market data. The Rundown University members may access our pre-written prompts here.

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OPENAI

📱 OpenAI signals hardware push with trademark filing

The Rundown: OpenAI just filed a trademark application covering all the things from humanoid robots to AI wearables, hinting at ambitions to maneuver into physical products through partnerships with hardware veterans like former Apple designer Jony Ive.

The main points:

• The application includes smart jewelry, VR/AR headsets, wearables for ‘AI-assisted interaction,’ smartwatches, and more.

• Also listed are ‘user-programmable humanoid robots’ and robots with ‘communication and learning functions for assisting and entertaining people.’

• OpenAI has steadily been linked to Jony Ive, with Sam Altman reiterating that he hopes to create an AI-first phone ‘in partnership’ with him last week.

• The corporate recently began rebuilding its robotics team, with Figure AI also abruptly ending its collaboration agreement with OpenAI this week.

Why it matters: While competing in consumer hardware would’ve felt insane a couple of years ago, Apple’s turbulent rollout of AI and unprecedented growth of OpenAI could offer a brand new window of opportunity. Altman has also said that AI advances warrant a “latest sort of hardware” — and perhaps humanoids are that final form he envisions.

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• 💬 Chatbase – AI agents for magical customer experiences

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Google revised its AI ethics principles to remove restrictions on using the technology for weapons and surveillance applications.

OpenAI shared a demo of an automatic sales agent system during an event in Tokyo, which has the flexibility to handle tasks like enterprise lead qualification and meeting scheduling.

Amazon scheduled a hardware event for Feb. 26 in Latest York, where it is anticipated to unveil its long-awaited AI-enhanced Alexa overhaul.

Enterprise software giant Workday announced plans to chop 1,750 jobs or 8.5% of its workforce as a part of an AI-driven restructuring plan.

MIT researchers unveiled SySTeC, a tool that quickens AI computations by robotically eliminating redundant calculations, achieving as much as 30x speed increases.

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COMMUNITY

🎥 Join our next live workshop

Join our next workshop this Friday at 4 PM EST to learn tips on how to leverage OpenAI’s Deep Research tool, access open source alternatives, and create your individual at no cost with Dr. Alvaro Cintas, The Rundown’s AI professor.

RSVP here. Not a member? Join The Rundown University on a 14-day free trial.

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See you soon,

Rowan, Joey, Zach, Alvaro, and Jason—The Rundown’s editorial team