Gemini Robotics is an artificial intelligence model based on Gemini 2.0, designed to introduce artificial intelligence capabilities into the physical world.

The new system allows robots to understand the environment, interact naturally with humans, and perform complex tasks with agility.

Crazy results
Hedra Character-3 generates video, creates sounds and even sets up lip sync correctly. You can throw in a picture, and the service will completely bring it to life.

Magic, and nothing more

Biggest deal in Google/Alphabet history: Google is buying Wiz for $32B to beef up in cloud security

Wiz. is an Israeli cloud security startup headquartered in New York City. The company was founded in January 2020.

This acquisition positions Google to better compete with AWS and Azure.

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Nvidia has unveiled a base AI model for humanoid robotics, Groot N1. With this core, robots will be able to think “fast and slow” to instantly execute simple commands or reason.

Cool paper by Google DeepMind. Most AI systems assume there’s just one right answer—but many tasks have reasonable disagreement. How can better model human variation?

Researchers propose modeling at the individual-level using open-ended, textual value profiles

What's the difference between AI and truly 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀?

The key difference? 𝗦𝘁𝗮𝘁𝗶𝗰 𝗔𝗜 𝗺𝗼𝗱𝗲𝗹𝘀 𝘃𝘀. 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀.

The Elphame neural network was found on the Internet, which will help to chew any material. The user sends an incomprehensible topic and receives 10 modules with the most understandable explanation. The service is free.

Tencent released Hunyuan-T1

- Better than GPT-4.5 and
DeepSeek R1.
- ultra-large-scale reasoning.
- Hybrid-Mamba-Transformer MoE Architecture –
- Strong Logic & Concise Writing
- 60-80 tokens/sec generation speed.

T1 Experience
Demo

New research from Anthropic shows how giving Claude a simple 'think' tool dramatically improves instruction adherence and multi-step problem solving for agents.

Also Anthropic launched hub where developers can find practical advice and latest discoveries on how to get the most from Claude.

Google DeepMind introduced Gemini 2.5

It’s Google’s first 2.5 model, Gemini 2.5 Pro Experimental is a state-of-the-art thinking model, leading in a wide range of benchmarks – with impressive improvements in enhanced reasoning and coding and now #1 on LMArena. 

Find it on Google AI Studio and in the Gemini app for Gemini Advanced users now – and in Vertex in the coming weeks.

OpenAI added native image generation within GPT-4o and Sora

—A fully integrated system for creating visuals via ChatGPT
—Excels at menus, diagrams, and infographics
—Edits images with text prompts
—Rolling out to Plus, Pro, Team, and Free users

Google Introduced TxGemma: a collection of open models designed to help with drug development, and Agentic-Tx: an agentic system for therapeutics

TxGemma models are generalist therapeutic LLMs that can make a variety of predictions & can be chatted with in the same model.

Hf.
GitHub

New market map by a16z: AI*online shopping

Useful AI apps that are available on your phone 👍

These neural networks can be used on your smartphone at any time - from searching for information to creating content:

▪️ Gamma - creates presentations using AI in a couple of minutes.

▪️ Grok - will help you find a solution to any question: from answering a task to generating photos.

▪️ Gemini - a neural network for searching, generating images and even ideas.

▪️ Replit - for those who code. You can write code with AI support directly from your phone.

▪️ Perplexity - forget about Google and search for everything you need through it 💡

▪️ Kling - helps in creating videos.

▪️ Windsurf - another assistant for coders.

▪️ Lovable – AI-generated websites that are pleasing to the eye.

▪️ Typefully – for those who write posts on social networks. Ideal for SMM specialists.

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Gemini 2.5 Pro is now available to everyone for free.

Amazon AGI Lab unveiled Nova Act, an AI agent system that can control browsers to perform tasks

— Beats Claude 3.7 Sonnet and OpenAI’s CUA on reliability
—Will power Amazon's next-gen Alexa+
— Also includes an SDK to build custom browser agents

The most important paper by Google about AGI. A few assumptions behind Google DeepMind’s paper on preparing for AGI:

1. no ceiling at human-level capabilities,

2. powerful systems by 2030,

3. positive loops via AI R&D,

4. a reliance on relatively continuous progress.