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- 📘 Canvas × ChatGPT in Classrooms!
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Welcome back to “Trendwise AI.”
Today’s Recipes:
📘 Canvas × ChatGPT in Classrooms!
🚀 Google’s AI-Powered Revenue Surge!
🧩 AI Coding Challenge Falls Short!
🔒 Trump’s AI Chip Export Plan Lacks Clarity
+Trending AI Tutorial
+ Trending tools and resources
And More….
📘 Canvas × ChatGPT in Classrooms!
What: OpenAI has teamed up with Instructure to bring ChatGPT’s generative AI directly into Canvas, the LMS used by over 8,000 schools. Teachers can now build custom AI chatbots for grading, lesson planning, scheduling, and even responding to parent messages all within their existing Canvas workflows.
Why: This matters because schools are shifting from banning AI to embedding it responsibly. Educators gain transparency into how students use AI and retain full control over grading and assessments, addressing academic integrity concerns while easing teacher workloads.
Impact: Personalized AI tutoring is inching closer to reality. With chatbots that adapt to student progress and admin tasks automated, classrooms could become more engaging and efficient. Will this spark the next generation of AI-native learners, and what unintended issues might follow?
Exciting times ahead! If you're curious how AI in education could reshape learning—not just streamline tasks here’s more to come. Want a deeper look at Canvas chatbots or real-world teacher experiments?
🚀 Google’s AI-Powered Revenue Surge!
What: In Q2 2025, Alphabet (Google’s parent) reported a blockbuster $96.4 billion in revenue, a 14% jump year over year. AI features like AI Overviews and AI Mode are riding high, with over 2 billion and 100 million monthly users respectively. Cloud revenues also soared, driven by strong demand for AI services.
Why: This matters because Google’s “full-stack” AI strategy spanning infrastructure to user features is fueling growth across search, cloud, and ads. It’s a clear signal: AI is no longer a side project, but central to Google’s business momentum.
Impact: With AI ingrained in everything from search to cloud, the gap between Google and AI-first competitors widens. But big bets on data centers and talent retention hint at a competitive turf war ahead.
Exciting times if you’re watching tech’s AI evolution! Google’s heavy investment raises questions: will it pay off as AI competition heats up? Want to explore deeper on AI Mode, Gemini, or regulatory drag?
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🧩 AI Coding Challenge Falls Short!
What: The Laude Institute’s new “K Prize” AI coding contest tested models on live GitHub issues. The winner, a Brazilian prompt engineer, scored just 7.5% correct answers, taking home $50K. Even top models struggled under time and compute limits, showing real-world coding is tougher than benchmarks suggest.
Why: This matters because hype often overstates AI’s coding peaks. The K Prize offers a contamination-free, hard test, revealing that current tools still lag behind human engineers. It highlights that solving fresh, real-world coding problems remains a steep challenge.
Impact: AI coding is powerful, but not yet reliable. With only 7.5% success in tough tasks, we’re reminded that tools need time and cautious deployment. Could future open-source models hit that 90% target?
Fascinating peek behind AI’s coding curtain! Want a deep dive into benchmark design, open-source challengers, or future prize rounds?
🔒 Trump’s AI Chip Export Plan Lacks Clarity
What: Former President Trump unveiled a new AI Action Plan on July 23 that aims to lift Biden-era chip export bans to China, imposing instead opaque licensing, “location verification,” and possible bilateral deals. But details around licensing process, costs, and enforcement are still vague.
Why: This matters because AI-optimized chips are national-security assets and China is rapidly building AI capability. Opening exports without clear guardrails could inadvertently speed China’s progress, even as Washington warns of strategic risks.
Impact: We’re entering a complex trade-off: economic benefit for U.S. chipmakers vs. potential geopolitical fallout. Ambiguous rules may trigger unintended loopholes. Will industry lobby for clarity or will policy confusion cause more harm than good?
What do you think? Is this loose-lipped chip policy a savvy pivot or a risky gamble?
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