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Tilde Research Introduces Aurora: A Leverage-Aware Optimizer That Fixes a Hidden Neuron Death Problem in Muon

Researchers at Tilde Research have released Aurora, a new optimizer for training neural networks that addresses a structural flaw in the widely-used Muon optimizer. The flaw quietly kills off a significant fraction of MLP neurons during training and keeps them permanently dead. Aurora comes with a 1.1B parameter pretraining experiment, a new state-of-the-art result on […]

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A Coding Implementation to Portfolio Optimization with skfolio for Building Testing, Tuning, and Comparing Modern Investment Strategies

In this tutorial, we explore skfolio, a scikit-learn compatible portfolio optimization library that helps us build, compare, and evaluate different investment strategies in a structured Python workflow. We start by loading S&P 500 price data, converting it into returns, and creating a time-based train-test split suitable for financial analysis. From there, we build simple baseline

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Trump heads to China to spread the gospel of American tech while emulating Xi Jinping on AI

Tim Cook and Elon Musk, among other tech CEOS, will accompany the US president on a trip to ChinaDonald Trump is heading to China this week. If his guest list is any clue, he wants to discuss technology with Xi Jinping, though perhaps after the war in Iran.On Monday, news broke that outgoing Apple CEO,

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Datacentres should be forced to invest in wind and solar energy, agree all states except Queensland

State and federal energy ministers said investments in new renewable generation and energy storage should “fully offset” new data centres’ energy needs Power hungry datacentres that are growing to meet the energy demand of artificial intelligence could be forced to invest in enough new solar and wind generation to completely cover their electricity needs.State and

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Texas accuses Netflix of spying on children in new lawsuit

Ken Paxton accuses streamer of designing addictive platform and falsely representing data collection practicesTexas sued Netflix on Monday, accusing the streaming company of spying on children and designing its platform to be addictive.Ken Paxton, the Texas attorney general, said Netflix has for years falsely represented to consumers that it did not collect or share user

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‘A consistent pattern of lying’: Musk v OpenAI trial exposes what insiders think of Sam Altman

The trial has exposed even more details about OpenAI’s fractious corporate past than previously documentedOpenAI, despite its name, is usually extremely secretive about its operations. It promotes a carefully crafted image to the world. Over the course of Elon Musk’s case against the startup and its CEO, Sam Altman, however, the artificial intelligence firm has

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Understanding LLM Distillation Techniques 

Modern large language models are no longer trained only on raw internet text. Increasingly, companies are using powerful “teacher” models to help train smaller or more efficient “student” models. This process, broadly known as LLM distillation or model-to-model training, has become a key technique for building high-performing models at lower computational cost. Meta used its

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How to Build Technical Analysis and Backtesting Workflow with pandas-ta-classic, Strategy Signals, and Performance Metrics

In this tutorial, we implement how to use pandas-ta-classic to build a complete technical analysis and trading strategy workflow. We start by installing the required libraries, downloading historical OHLCV stock data with yfinance, cleaning the returned data structure, and inspecting the available indicator categories inside the library. We then calculate popular indicators such as SMA,

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Meta and Stanford Researchers Propose Fast Byte Latent Transformer That Reduces Inference Memory Bandwidth by Over 50% Without Tokenization

A team of researchers from Meta, Stanford University, and the University of Washington have introduced three new methods that substantially accelerate generation in the Byte Latent Transformer (BLT) — a language model architecture that operates directly on raw bytes instead of tokens. Byte-Level Models Are Slow at Inference To understand what this new research solves,

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AI-powered hacking has exploded into industrial-scale threat, Google says

Criminal groups and state-linked actors appear to be using commercial models to refine and scale up attacksBusiness live – latest updatesIn just three months, AI-powered hacking has gone from a nascent problem to an industrial-scale threat, according to a report from Google.The findings from Google’s threat intelligence group add to an intensifying, global discussion about

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