Google launched AI mode with the Gemini 3 model

Google just released to the world Gemini 3, his latest AI model, and instantly deployed it to Search AI Mode. Sundar Pichai confirmed that Gemini 3 is bringing more advanced mental abilities and dynamic experiences directly into the search engine, marking the first time Google has implemented the new Gemini model into Search as day one.

AI mode now offers thanks to Gemini 3 a generative user interface, which creates immersive visual layouts and interactive tools completely on the fly based on your query.Imagine asking how RNA polymerase works, and the system will generate for you in real time interactive visualization with an clarification. This is not science fiction, this is reality from yesterday.

Google’s Robby Stein explained that Gemini 3’s generative layouts make it easy to understand anything you can think of. The model has superior reasoning, deep multimodal understanding and advanced agent capabilities. it can explain advanced concepts,reason and code interactive visualizations in real time. Google gives examples ranging from kaleidoscope simulations to explaining DDoS attacks to visualizing the positions of the constellations above the London skyline.

Interestingly, Google will improve the automatic model selection in the coming weeks. Search will intelligently direct complex questions in AI Mode and AI Overviews to the moast advanced model, while it will continue to use faster models for simpler tasks.Under the hood, Gemini 3 significantly improves the query expansion technique because it understands users better.

But not everyone is keen. Operators of recipe blogs warn against a level of plagiarism which this model achieved. Some of the reactions on social media indicate concerns about AI taking over content and presenting it as its own, which could have major implications for content creators in the future.

Do quantum computers threaten cryptocurrencies? The reality is more intricate

Google breakthrough in quantum computing that showed speeds 13,000 times higher than traditional supercomputers moved the blockchain security discussion from theory to reality. While some headlines predict the end of cryptocurrencies, analysis by Chainalysis shows that the truth is much more nuanced – prepare yes, panic no.

Quantum computers use quantum bits (qubits) that can exist in multiple states concurrently thanks to a phenomenon called superposition. combined with quantum entanglement, these computers can solve certain problems exponentially faster than conventional computers. Modern cryptocurrencies like Bitcoin and Ethereum rely on cryptographic algorithms – Bitcoin uses ECDSA for digital signatures and SHA-256 for hashing, Ethereum uses Keccak-256.

AI Superintelligence Concerns rise as Tesla Opens Robotaxi to Public

Microsoft AI CEO Mustafa Suleyman views artificial superintelligence as an “anti-target,” stating it “doesn’t look like a positive vision of the future” and would be difficult to control or align with human values. This contrasts with other tech leaders like OpenAI’s Sam Altman, who believes superintelligent tools could “accelerate massively” scientific discoveries and increase prosperity, and anticipates its arrival by 2030. Google DeepMind’s Demis Hassabis shares a similar timeframe, predicting AGI within the next five to ten years and envisioning AI systems deeply integrated into daily life.

Meanwhile, Tesla has quietly opened public access to its autonomous transport service via the Robotaxi app on iOS, available to users in the US and Canada without a waiting list. The company has effectively moved its pilot program to near public availability in Austin and the Bay Area, operating completely driverless in Austin (with a safety monitor) and with a human safety driver in San Francisco. Tesla aims to have 500 Robotaxis in Austin and over 1,000 in the Bay Area by year-end, with plans to expand to Miami, Dallas, Phoenix, and Las Vegas. The company intends to remove safety monitors from the Austin fleet by the end of 2025, paving the way for the launch of the Cybercab vehicles next year.Tesla has also been gradually expanding its operational coverage in both active markets in recent weeks.

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Published: 2025/11/21 04:12:55

Commonwealth Fusion Systems and the path to Commercial Fusion Energy

Commonwealth Fusion Systems (CFS), a private company spun out of MIT, is making important strides toward realizing practical fusion energy. Achieving this goal, however, requires overcoming significant hurdles in materials science, engineering, and supply chain development, demanding massive capital investment and specialized expertise. CFS aims to demonstrate net energy gain from fusion by 2025, a critical milestone on the path to commercialization.

The SPARC Tokamak and High-Temperature Superconducting Magnets

CFS’s approach centers around the SPARC tokamak, a compact fusion device designed to prove the feasibility of net energy gain. A key innovation is the use of high-temperature superconducting (HTS) magnets.These magnets are crucial for generating the intense magnetic fields needed to confine and control the superheated plasma where fusion reactions occur. Unlike conventional superconducting magnets, HTS magnets can operate at higher temperatures, reducing cooling requirements and enabling stronger magnetic fields in a smaller device.

The challenge of HTS Tape Production

Building SPARC, and ultimately a commercial fusion power plant, requires vast quantities of HTS tape. As CFS CEO Bob mumgaard explained in a Green Blueprint podcast recording at the Transition-AI conference in June 2023,the necessary kilometers of HTS tape were scarcely available. CFS had to essentially build its own infrastructure to manufacture the tape at the scale and quality required. This involved significant investment in new manufacturing processes and facilities.

The HTS tape is meticulously wound into a circular shape, forming what CFS describes as “the biggest, strongest, most powerful magnet in the world.” This magnet is central to SPARC’s design and performance.

Beyond Magnets: Infrastructure and capital Requirements

The challenges extend far beyond magnet production. Developing a commercially viable fusion power plant necessitates a complete ecosystem of specialized components and infrastructure. This includes:

• Fuel Supply: Fusion typically uses isotopes of hydrogen, deuterium and tritium. Sourcing and processing these fuels requires dedicated facilities. The U.S. Department of Energy details the complexities of tritium supply and breeding.
• Plasma Heating and Control Systems: Maintaining a stable, high-temperature plasma requires refined heating and control systems.
• Materials Science: The extreme conditions within a fusion reactor place immense stress on materials. Developing materials that can withstand intense heat, neutron bombardment, and radiation damage is a critical area of research.
• Remote Handling Systems: Due to the activation of reactor components by neutrons, remote handling systems are needed for maintenance and repair.

These requirements translate into substantial capital investment. CFS has already raised significant funding, including over $1.8 billion in a Series B funding round in 2022, but further investment will be necessary to scale up production and build commercial power plants.

Recent Developments and Future outlook

In September 2023,CFS demonstrated a 20 Tesla magnetic field, a crucial step towards achieving the performance needed for SPARC. This achievement validated the HTS magnet technology and its potential for enabling practical fusion energy.

CFS is currently constructing SPARC in Devens, Massachusetts, with the goal of achieving net energy gain by 2025. If accomplished, this will pave the way for ARC, a subsequent demonstration power plant designed to deliver electricity to the grid. The timeline for commercial deployment of fusion energy remains uncertain, but CFS is