AI & RoboticsNews

No retraining needed: Sakana’s new AI model changes how machines learn

Researchers at Sakana AI, an AI research lab focusing on nature-inspired algorithms, have developed a self-adaptive language model that can learn new tasks without the need for fine-tuning. Called Transformer² (Transformer-squared), the model uses mathematical tricks to align its weights with user requests during inference. This is the latest in a series of techniques that aim to improve the…
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AI & RoboticsNews

Why everyone in AI is freaking out about DeepSeek

As of a few days ago, only the nerdiest of nerds (I say this as one) had ever heard of DeepSeek, a Chinese AI subsidiary of the equally evocatively named High-Flyer Capital Management, a quantitative analysis (or quant) firm that initially launched in 2015. Yet within the…
Cleantech & EV'sNews

Nissan secures batteries for about 300,000 EVs in the US, but when will we see them?

Nissan plans to buy 20 GWh of batteries from SK On, enough to power around 300,000 EVs to be sold in the US. However, after delaying EV production in the US again, when will the new EVs finally arrive? Nissan revealed plans to invest $500 million in its Canton, Mississippi, plant almost three years ago to prepare the facility for its newest electric vehicles. Production was initially set to begin…
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CryptoNews

Tornado Cash Co-Founder Speaks Out: ‘This Is a Fight for Every Developer’ as DOJ Threatens 45-Year Prison Sentence

The prosecution of Tornado Cash co-founder Roman Storm is an egregious assault on freedom, innovation, and the very foundation of individual rights. Last week, Storm voiced his thoughts on X, offering a candid glimpse into his perspective on the unfolding situation. Code Is Not a Crime: The Shocking Government Crusade Against Privacy and Freedom in the Tornado Cash Case In the ongoing persecution…
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AI & RoboticsNews

Why ‘prosocial AI’ must be the framework for designing, deploying and governing AI

As AI pervades every sphere of modern life, the central challenge facing business leaders, policymakers and innovators is no longer whether to adopt intelligent systems but how. In a world marked by escalating polarization, resource depletion, eroding trust in institutions and volatile information landscapes, the critical imperative is to engineer AI so that it contributes meaningfully and…
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