Latest Articles
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Stanford Study: The “Clash of Optimizers” — AdamW Wins by Stability
Stanford researchers put 11 popular deep learning optimizers to the test — from AdamW to Muon and Soap — across billions of parameters and multiple data regimes. Their conclusion? AdamW remains the most robust choice for large-scale pretraining, while matrix-based methods like Muon and Soap offer real.
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OpenAI’s o3 Stuns AI Math Olympiad with Near-Perfect Debut, Open-Source Models Just 5 Points Behind
OpenAI’s o3 model stunned the AI research world at the second Artificial Intelligence Mathematical Olympiad (AIMO2), scoring near-perfect results on Olympiad-level math problems. The competition, which pits commercial and open-source models under both matched and unlimited compute settings...
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Who Doesn’t Use It, Loses Out! Karpathy Praises GPT-5: 10-Minute Coding Beats Claude’s Hour, Altman Responds Instantly
OpenAI’s GPT-5 Pro is making waves in the coding world. Andrej Karpathy says it solved a problem in ten minutes that Claude Code couldn’t crack in an hour — and even Claude praised GPT-5’s solution. With Altman and Brockman chiming in, and Codex adoption surging 10x in two weeks.
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25% of Young Adults Think AI Could Replace Romance: Men More Open to AI Companions
A new U.S. survey finds that 1 in 4 young adults believe AI partners could replace real-life romance, with men more open than women to AI companionship. As Gen Z and Millennials experiment with AI friends, therapists, and roleplay bots, the line between human and machine intimacy is beginning to blur.
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After the Hype of Nano Banana, a Mysterious "Carrot" Code Model Has Emerged
After “Nano Banana,” meet Carrot 🥕 — the mysterious new AI code model taking over Anycoder. From voxel gardens to particle animations, it’s proving to be a serious coding beast hidden behind a cute name.
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Google’s new AI model runs offline on your phone — and it only needs 200MB of memory
Google has released EmbeddingGemma, a 0.3B parameter embedding model that runs offline on just 200MB of RAM. Built for phones and laptops, it powers RAG, semantic search, and chatbots with near-large-model quality—without the cloud. A milestone for on-device AI and privacy-first computing.
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Historic Copyright Clash: Anthropic Settles for $1.5B Over AI Book Piracy
Anthropic has agreed to a record-breaking $1.5 billion settlement after being accused of pirating millions of books to train its AI model, Claude. The case highlights the growing tension between AI development and copyright law—and could reshape how creative works are used in training datasets across the tech industry.
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