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Sam Altman admitted OpenAI might have been wrong about keeping its AI models private and acknowledged DeepSeek’s open-source approach is making waves in the industry. Meanwhile, DeepSeek claims to have built an AI model as powerful as OpenAI’s GPT-o1 for a fraction of the cost, raising concerns about potential data theft and U.S. chip restrictions. At the same time, Altman is pushing a $500 billion AI data center project called “Stargate” while facing a personal lawsuit, as Google quietly adjusts its AI strategy and Microsoft investigates DeepSeek’s rapid rise.

*Key Topics:*
- *Sam Altman’s shocking admission* about OpenAI’s past mistakes and DeepSeek’s rising influence.
- How *DeepSeek claims to rival OpenAI’s GPT-o1* at a fraction of the cost, raising legal concerns.
- The *AI arms race escalates* as OpenAI, DeepSeek, Microsoft, and Google battle for dominance.

*What You’ll Learn:*
- Why *OpenAI might change its stance on open-source AI* after DeepSeek’s disruptive impact.
- How *Microsoft is investigating DeepSeek* over alleged unauthorized use of OpenAI’s data.
- The *$500 billion “Stargate” project* and why experts doubt Altman’s ambitious AI infrastructure plans.

*Why It Matters:*

Continue reading “OpenAI’s Sam Altman SHOCKINGLY Admits: “OpenAI Must Learn From DeepSeek”” | >

Unitree, a Chinese robotics company competing with outfits like Boston Dynamics, Tesla, Agility Robotics and others, has unveiled a new video of its humanoid G1 and H1 robots, showing off some new moves.

The smaller, more affordable G1 robot is shown running, navigating uneven terrain and walking in a more natural way. Unitree told us that because the robots were operating in environments it hadn’t mapped with LIDAR, these demos were remote controlled.

Unitree’s taller H1 humanoid robot also showed off some new moves at a Spring Festival Gala. The robots performed a preset routine learned from data produced by human dancers. The company says “whole body AI motion control” kept the robots in sync and allowed the robots to respond to any unplanned changes or events.

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At the heart of language neuroscience lies a fundamental question: How does the human brain process the rich variety of languages? Recent developments in Natural Language Processing, particularly in multilingual neural network language models, offer a promising avenue to answer this question by providing a theory-agnostic way of representing linguistic content across languages. Our study leverages these advances to ask how the brains of native speakers of 21 languages respond to linguistic stimuli, and to what extent linguistic representations are similar across languages. We combined existing (12 languages across 4 language families; n=24 participants) and newly collected fMRI data (9 languages across 4 language families; n=27 participants) to evaluate a series of encoding models predicting brain activity in the language network based on representations from diverse multilingual language models (20 models across 8 model classes). We found evidence of cross-lingual robustness in the alignment between language representations in artificial and biological neural networks. Critically, we showed that the encoding models can be transferred zero-shot across languages, so that a model trained to predict brain activity in a set of languages can account for brain responses in a held-out language, even across language families. These results imply a shared component in the processing of different languages, plausibly related to a shared meaning space.

The authors have declared no competing interest.

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In a groundbreaking study published in the journal Optica, this innovative instrument emerges from the collaborative genius of the National Quantum Science and Technology Institute (NQSTI), incorporating expertise from several esteemed institutions. The device serves as a window into a dual universe, allowing the simultaneous examination of phenomena governed by both classical laws and the bizarre rules of quantum mechanics.

At the heart of this discovery lies the technique of optical trapping, a method that harnesses the power of light to manipulate microscopic particles. Now, empowered by the insights of physicist Francesco Marin and his team, the dual laser setup dramatically enhances our understanding of how these nano-objects interact. As they oscillate in their laser confines, the spheres reveal a dance of behaviors—some that align with our everyday experiences, and others that defy our intuition.

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What would you think if I told you that traveling faster than light is no longer pure science fiction? Scientists have found a way to do it 10 times faster.

Science surprises us once again! Scientists have reached a revolutionary milestone by discovering a new theoretical way to travel faster than light. This breakthrough, based on innovative concepts in physics, opens the door to incredible possibilities in the realm of space exploration and the conquest of the cosmos. In this article, we will explore in detail this exciting development and the implications it could have for the future of humanity.

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When it comes to AI research, the company leading the way is undoubtedly OpenAI. Having successfully launched ChatGPT, the San Fransisco-based organisation has bigger targets in mind now.

In December 2024, it launched its latest version, o3, which has shown significant progress when it comes to Artificial General Intelligence (AGI). In other words, it has launched an AI system that can understand, learn and apply knowledge across a wide variety of tasks just like a human being.

But now, OpenAI CEO Sam Altman has revealed in his latest blog that the focus has shifted towards Superintelligence.

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Pipistrel Aircraft has announced the successful completion of the first hover flight for its Nuuva V300, a hybrid-electric vertical takeoff and landing (VTOL) unmanned aircraft designed for long-range logistics and specialized defense operations.

The milestone brings the company closer to deploying its autonomous cargo drone, which promises to revolutionize aerial deliveries with a 600-pound payload capacity and a 300-nautical-mile range.

The Nuuva V300 represents a leap forward in hybrid-electric propulsion, combining eight battery-powered electric motors for vertical takeoff with an internal combustion engine for forward flight. This dual-power system enhances fuel efficiency, minimizes maintenance costs, and provides greater operational flexibility. The aircraft’s design allows it to carry up to three Euro pallets (EPAL) through a nose-loading fuselage, offering a streamlined solution for cargo logistics, humanitarian aid, and defense applications.

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The future of medicine may very well lie in the personalization of health care—knowing exactly what an individual needs and then delivering just the right mix of nutrients, metabolites, and medications, if necessary, to stabilize and improve their condition. To make this possible, physicians first need a way to continuously measure and monitor certain biomarkers of health.

To that end, a team of Caltech engineers has developed a technique for inkjet printing arrays of special that enables the mass production of long-lasting wearable sweat sensors. These sensors could be used to monitor a variety of biomarkers, such as vitamins, hormones, metabolites, and medications, in real time, providing patients and their physicians with the ability to continually follow changes in the levels of those .

Wearable biosensors that incorporate the new nanoparticles have been successfully used to monitor metabolites in patients suffering from long COVID and the levels of chemotherapy drugs in at City of Hope in Duarte, California.

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