**🎉 Today’s Tech & AI News Digest 🎉**
🤖 OpenAI’s GPT-5.6 rollout constrained by U.S. government oversight
OpenAI unveiled GPT-5.6 but limited access to a small set of approved partners as U.S. regulators exert growing control over which advanced AI models can be released and to whom.
🌏 OpenAI deepens its push into India
OpenAI hired Uber India’s former chief to lead its India operations, signaling a major expansion in what it calls its largest market outside the United States.
💰 Chinese AI models pressure Western leaders on price
Lower-cost Chinese AI models are challenging OpenAI and Anthropic, forcing enterprises to weigh savings against security, compliance, and geopolitical risks.
https://www.techrepublic.com/article/news-chinese-ai-models-cost-risk/
🏗️ AI data center boom sparks political backlash
Voters across the U.S. are pushing back against massive AI-driven data center projects, toppling lawmakers who supported developments seen as environmentally and locally harmful.
https://www.newsweek.com/cost-me-the-election-data-centers-trigger-voter-backlash-12118327
🚗 New infrastructure targets robotaxi inefficiency
A startup is building compact automated hubs to clean and charge autonomous vehicles, aiming to cut costly deadhead miles that threaten robotaxi profitability.
🧠 Advances in AI-driven brain imaging
Researchers are exploring how AI combined with ultrasound could one day decode and reconstruct visual experiences from brain activity without bulky MRI machines.
https://alephneuro.com/blog/ultrasound-brain
🛠️ Smarter routing across AI models
A new open-source router dynamically selects the best AI model per request across Claude, OpenAI, and Gemini, aiming to improve performance and cost efficiency for developers.
https://github.com/workweave/router
⚖️ AI startup disputes open source theft claims
YC-backed insurtech startup Corgi denied accusations that it copied open source software, highlighting growing tensions around IP and transparency in AI-adjacent startups.
🔗 Why AI and blockchain struggle together
Analysts argue that combining AI with blockchain has failed to gain traction, as real-world AI progress has reduced the need for decentralized architectures.
https://news.google.com/rss/articles/CBMiiAFBVV95cUxQOG5UUEF4dFBiMmFGc0RzY19La1E4NGsyREFjR1h3TFFfRFRDQ2Y1VkNyMXJ6NlZ2NWIzczFueVh6dTBhUHRlTG96T29NZmNGaGt5dWotc1BqdjZYemR4bk8wdkNFZ0djbDQ1TGVRYVNHUVpUdHNpLXRiNWE5cDhQckU3WmlVaDVD?oc=5
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