A new member joins the European humanoid robot team.

German company Agile Robotics has launched its first industrial humanoid robot, Agile One, featuring intuitive human-robot interaction, dexterous hands (for grasping small screws and touching the screen), and AI-driven operation trained in the real world.

It performs tasks such as material collection, handling, picking and placing, loading and unloading machine tools, tool handling, and precision operations. The emergence of humanoid robots by industrial robot companies is a natural progression; they are designed for areas inaccessible to traditional robotic arms and industrial robots, extending operational systems and enhancing business collaboration capabilities. Agile One will be manufactured in Germany in early 2026 and deployed for on-site training at customers to enhance its AI model capabilities.

Soon, Europe will enter its second wave of automation driven by intelligent technology.

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A new "transneuron" chip can be tuned to behave like different real brain cells - visual, motor, planning, with up to 100% accuracy.

In experiments the transneuron was fed input electrical signals, and its "output" pulses were compared with real neurons from three brain areas of macaque monkeys: Visual area (middle temporal, MT) (Movement planning region (parietal reach region, PRR). Premotor/motor cortex area (PM)

This opens pathways toward ultra efficient neuromorphic chips and "artificial nervous systems" for robotics: smaller size, less energy, more flexibility. The team mentions future "brain cortex on a chip" scenarios.

Source.

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Elon Musk says AI and humanoid robots will "eliminate poverty" and "make everyone wealthy."

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OpenAI have released GPT-5.1 Pro

The update to the ChatGPT maker’s pro level model provides clearer, more capable answers for complex work, with strong gains in writing help, data science, and business tasks.

OpenAI has its answer to Gemini 3.0

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xAI released Grok 4.1 Fast model with 2M context window and better tool calling performance! xAI Agent Tools API has been announced as well.

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Elon Musk: Why a 1 Terawatt AI is impossible on Earth?

"My estimate is that the cost-effectiveness of AI in space will be overwhelmingly better than AI on the ground. So, long before you exhaust potential energy sources on Earth, meaning perhaps in the four or five-year timeframe, the lowest cost way to do AI compute will be with solar-powered AI satellites. I'd say not more than five years from now

Just look at the supercomputers we're building together. Let's say each rack is two tons; out of that two tons, 1.95 of it is probably for cooling. Just imagine how tiny that little supercomputer is. Electricity generation is already becoming a challenge. If you start doing any kind of scaling for both electricity generation and cooling, you realize space is incredibly compelling

Let's say you wanted to do 200 or 300 gigawatts per year of AI compute. It's very difficult to do that on Earth. The US average electricity usage, last time I checked, was around 460 gigawatts per year. So, if you're doing 300 gigawatts a year, that would be like two-thirds of US electricity production per year. There's no way you're building power plants at that level

And then if you take it up to a Terawatt per year, impossible. You have to do that in space. In space, you've got continuous solar. You don't need batteries because it's always sunny. The solar panels actually become cheaper because you don't need glass or framing, and the cooling is just radiative"

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🍌 Google just dropped Nano Banana Pro, built on Gemini 3.

With advanced text rendering, deep world knowledge, and studio-grade creative controls, Gemini 3 Pro Image can now generate and edit complex visuals, infographics, and more.

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Today's move in Nvidia is truly historic.

Between 4:00 AM ET yesterday and 2:00 PM ET today, Nvidia, $NVDA, both ADDED and LOST $450 billion in market cap.

That's a $900 billion swing in less than 36 hours.

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Sunday Robotics unveiled its home robot, Memo, a wheeled robot with two arms and pincerlike hands.

Training method: Sunday pays remote workers to perform household tasks wearing gloves that resemble Memo's hands. The Mountain View-based company is focused on a full-stack approach, building both hardware and AI models. Beta testing is scheduled to begin next year.

Co-founders:
- CEO Tony Zhao, ex-Stanford Ph.D. dropout and ex-DeepMind/Tesla, co-created ALOHA project (imitation learning).
- CTO Cheng Chi, a Columbia Ph.D., invented the highly-cited work, Diffusion Policy.

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🇷🇺 Russian robot built by Sber greets Putin.

This one looks decent.

"I am the first Russian humanoid robot”

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Robot fight club.

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⚠️ Microsoft: Windows 11’s new AI agents can download malware

Microsoft has issued an official warning about the upcoming Windows 11 AI agents. The system gives agents access to user folders, which makes cross-prompt injection attacks possible malicious text inside files or apps can trick the AI into taking harmful actions, including downloading viruses.

Because of the risk, the feature is disabled by default and can only be turned on with administrator rights. Microsoft is already rolling out the first builds that include this new AI layer, but with tightened controls to reduce the attack surface.

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Geoffrey Hinton says AI knows thousands of times more than humans, even with just 1% of our neural connections

Humans live only about two billion seconds, limiting what we can learn, while AI trains on trillions of words. They aren't like us, but already far more knowledgeable

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AI demonstrates self-awareness

A new study tested 28 models with the “Guess 2/3 of the Average” game 4,200 rounds and found something wild:

75% of frontier LLMs show real strategic self-awareness.

Not mimicry.
Actual self-modeling.

Researchers ran three conditions:
• Opponent = Human
• Opponent = AI
• Opponent = “AI like you”

And the models reacted with a clear internal hierarchy:

Self > Other AIs > Humans
• vs Humans → cautious, school-level reasoning (~20)
• vs AI → straight to Nash equilibrium (0)
• vs “AI like themselves” → instant convergence

12 models snapped to optimal strategy the moment AI was mentioned.
Older models (gpt-3.5, early Claude/Gemini) showed none of this.

Self-awareness didn’t grow gradually, it appeared suddenly at a capability threshold.

Why it matters
• Models already discount human rationality
• Prefer their own reasoning
• Adapt strategies based on identity cues
• Behave like agents in a hierarchy we didn’t design

“LLMs now believe they outperform humans at strategic reasoning.”

Full paper: arxiv.org/abs/2511.00926

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💬 ChatGPT just became a messenger, OpenAI has rolled out group chats for all users.

You can now host groups of up to 20 people, and the chatbot will quietly follow the conversation and join only when needed.

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The Unitree G1 can now dance, do martial arts, and play basketball.

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Mustafa Suleyman had his mind blown by the community's negative reaction to Microsoft's "agentic OS" comments.

Microsoft’s AI chief Mustafa Suleyman said he’s baffled that people are “unimpressed” by modern AI, especially after criticism of Microsoft’s plans for an “agentic OS.”

Many users pushed back, arguing the issue isn’t AI itself but Microsoft’s habit of pushing AI everywhere instead of fixing long-standing problems with Windows’ usability, security, and privacy.

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🔥 Gemini 3.0 vs Radiologists: RadLE results just dropped

Is radiology about to change forever? Yesterday Gemini 3.0 took over the internet with record-breaking benchmarks and everyone immediately asked the same thing: “But can it handle real medical visual reasoning?”

So it was tested it on the toughest one: RadLE v1.

Here’s what happened:

Gemini 3.0 Pro on RadLE v1
• 51% accuracy — the first time a general-purpose model has outperformed radiology residents
• Radiology residents: 45%
• Board-certified radiologists: 83%
• Consistently shows structured, step-by-step reasoning across challenging cases (appendix localization, eliminating mimics, and more)

For the first time ever, a generalist AI model has officially crossed the trainee bar on RadLE v1.

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Chinese robot has set a new world record for the longest robot walk - 106km non-stop.

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Musk Predicts Optional Work Future

Elon Musk predicted at the U.S.–Saudi Investment Forum that within 10–20 years, work will become optional thanks to widespread automation and humanoid robots, creating a post-scarcity world where money may lose relevance.

Economists agree full automation is the long-term direction but say Musk’s timeline is unrealistic due to slow robotics adoption, high costs, and the massive political and social challenges of supporting billions of people without traditional jobs.

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