**🎉 Today’s Tech & AI News Digest 🎉**
🚀 Anthropic deepens partnership with Amazon for massive AI compute
Anthropic secured $5B more from Amazon and committed to over $100B in AWS spending to scale Claude with multi-gigawatt AI infrastructure.
🤖 Open-source and experimental AI models push boundaries
From Kimi K2.6’s open-source coding agents to a hand-written transformer running on a Commodore 64, developers are exploring both cutting-edge scale and extreme minimalism in AI.
https://www.kimi.com/blog/kimi-k2-6
⚡ Optimizing LLM inference for specific hardware
Custom kernels, quantization, and speculative decoding enable open LLMs like Qwen 3.5 to hit over 200 tokens per second on consumer GPUs.
https://github.com/Luce-Org/lucebox-hub
🔍 Why ‘uncensored’ AI models still self-censor
Researchers show that safety-filtered pretraining leaves measurable traces in language models, causing subtle avoidance of charged terms even without explicit refusals.
https://morgin.ai/articles/even-uncensored-models-cant-say-what-they-want.html
📝 AI-generated writing develops recognizable stylistic tells
A growing reliance on constructions like “it’s not just this — it’s that” is becoming a near-guarantee that text was written by AI, according to linguistic analysis.
🎵 AI-generated music floods streaming platforms
Nearly half of all new tracks uploaded to Deezer are AI-generated, though most listens are fraudulent and heavily demonetized.
🌐 Google expands Gemini integration in Chrome globally
Gemini’s in-browser AI assistant is rolling out to seven more countries as Google continues embedding generative AI directly into everyday web tools.
🔐 Security incident highlights AI supply-chain risks
Vercel confirmed a breach tied to a third-party AI tool, underscoring growing security concerns around AI-integrated developer ecosystems.
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