BREAKING: U.S. Unleashes 90 AI Policies to Beat China & Big Tech Wins
Will this be a startup gold rush - or a Big Tech stronghold?
Good afternoon AI entrepreneurs & enthusiasts,
The White House has just rewritten the narrative on AI strategy with its new AI Action Plan, shifting from a previously cautious stance to an aggressive pursuit of technological dominance.
Calling AI an “industrial revolution, information revolution, and renaissance all at once,” the U.S. is betting big on deregulation and acceleration — though critics question who gains from this tech-giant-aligned trajectory.
In today’s AI news:
U.S. launches sweeping AI Action Plan
Google reconstructs ancient Rome using AI
OpenAI's copilot reduces medical mistakes in Kenya
Today's Top Tools & Quick News
THE UNITED STATES & AI 🇺🇸 U.S. launches sweeping AI Action Plan
News: The Trump administration has released "Winning the AI Race: America’s AI Action Plan", a 28-page blueprint outlining over 90 policy actions to solidify U.S. global dominance in artificial intelligence. The strategy reflects input from over 10,000 public comments and marks a sharp pivot in federal policy.
Details:
The plan is anchored in three pillars: accelerating innovation, building infrastructure, and expanding AI diplomacy, while also stripping away perceived regulatory roadblocks.
Specific actions include expedited data center construction, promotion of open-source AI, repeal of legal barriers, and incentives to boost adoption.
A new requirement mandates government contractors ensure "ideological neutrality", barring "woke" or partisan AI models.
The White House frames the AI boom as an "industrial revolution, information revolution, and renaissance all at once".
Critics argue the plan favors Big Tech and cuts essential oversight, potentially sidelining responsible AI standards.
Why it matters: This strategy reflects the administration’s willingness to prioritize global competition and AI market leadership over regulatory caution. It positions the U.S. to challenge China directly by embracing deregulation and fast deployment, but not without controversy.
GOOGLE DEEPMIND 🏛️ Google reconstructs ancient Rome with AI
News: Google DeepMind has launched Aeneas, an open-source AI system aiding historians in restoring, dating, and deciphering damaged Latin inscriptions across the Roman Empire.
Details:
Aeneas cross-analyzes inscription fragments with a dataset of over 176,000 ancient texts to restore content and identify origin.
It achieves 72% geographic accuracy, 73% restoration accuracy, and dates texts within an average of 13 years.
Historians reported Aeneas was helpful in 90% of use cases, with 44% higher confidence in contextual interpretation.
DeepMind open-sourced both the code and dataset, enabling broader use in historical restoration.
Why it matters: Tools like Aeneas and the Vesuvius Challenge show AI’s emerging role in cultural preservation. By reviving fragmented records, AI offers a scalable method to reconstruct lost knowledge across ancient civilizations.
AI RESEARCH 🏥 OpenAI’s copilot reduces medical errors in Kenya
News: OpenAI and Penda Health piloted an AI assistant in Nairobi clinics, finding that clinicians using the system made significantly fewer diagnostic and treatment errors.
Details:
The "AI Consult" system assists in real time by flagging risky decisions but does not override human judgment.
Across over 40,000 patient visits, clinicians using the assistant showed a 16% drop in diagnostic errors and a 13% drop in treatment errors.
75% of clinicians described the impact as "substantial," highlighting its role as both a safety net and a training aid.
Key success factors included the use of GPT-4o, seamless integration with clinical workflows, and customized onboarding for staff.
Why it matters: This model shows AI’s tangible impact on improving frontline care in under-resourced regions. It also provides a blueprint for scaling similar AI deployments in global healthcare systems, enhancing both patient safety and provider confidence.
Today's Top Tools:
⚙️ Qwen3-Coder — Alibaba’s latest agentic coding model
⚡️ Gemini 2.5 Flash-Lite — Google's fastest, most affordable model
🗣️ Higgs Audio V2 — Open-source voice model by Boson
📸 Google Photos — New AI features: photo-to-video & Remix
Quick News:
OpenAI CEO Sam Altman warned of a looming "AI fraud crisis," highlighting how modern AI can bypass traditional authentication methods like voiceprints.
YouTube Shorts launched AI-powered tools via Veo 2, enabling video and effects generation from simple text prompts.
Google Photos adds Remix and photo-to-video features powered by Veo 2, supporting AI-driven short-form visuals.
GitHub Spark enters public preview for Copilot Pro+, turning natural language prompts into full-stack web apps with one-click deployment.
Amazon shuts down its Shanghai AI lab amid U.S.–China tensions, ending a major AWS research presence.
Pew Research finds that AI-generated search summaries reduce link clicks by nearly 50%, raising concerns among publishers.
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If this is the new AI race, winning should mean better public services not just more models. What pilots will put these tools in clinics, schools, and small businesses this quarter. The Kenya and Aeneas results show where to start.
The rhetoric is bold. I want to see a scoreboard. Which agencies will report adoption and safety outcomes first and how will that data be shared with cities and states.