AI continues to spark debate across education, politics, and industry. In schools, teachers and students hold conflicting views on its role. Teachers like Erin Cook worry that students use AI to cheat rather than learn. Student Alyssa Aguilar sees AI as a helpful tool that explains topics in depth, but cautions that relying on it for everything counts as cheating. The education system has yet to catch up with the rapid rise of AI technology.
Political pushback against AI and datacentre expansion has surfaced in the US midterms. Voters opposed the rapid build-out of debt-funded datacentres and job losses tied to AI. The public grew tired of tech firms getting richer while everyday costs kept rising. Experts believe the vote will slow AI infrastructure investment, with some comparing the pushback to past efforts to break up monopolies.
Major AI companies are deepening ties with energy providers. OpenAI struck a deal with Abu Dhabi's ADNOC to deploy AI across the energy firm. Amazon is building gas-fired power plants in Texas to support its AI needs. Legislation under the Trump administration pushes tech companies to provide their own energy sources. While AI advocates say the technology could eventually save energy, critics worry about the environmental impact.
Google is rolling out new AI-focused security tools. Google Cloud introduced CodeMender, a code security agent that helps find and fix software vulnerabilities faster, along with Auth Manager for credential management. Hundreds of customers have used CodeMender since its preview in July. Separately, Google's AI coworker uses a proxy model to keep credentials safe, storing keys write-only outside the sandbox and using domain binding to prevent data leaks when calling tools like Gmail or Slack.
Concerns about AI misuse extend beyond classrooms and energy. A major video game decompilation community is shutting down its main index because some users finish projects quickly with AI without understanding the code. In Hollywood, the cast of Return of the Living Dead is upset after Richard Driscoll released a sequel using AI-generated footage, despite warnings not to do so. Meanwhile, heart drug failures presented at the American Heart Association meeting raise doubts about AI hype in medicine, with author Matthew Herper urging greater skepticism toward AI promises in healthcare.
Key Takeaways
- Schools struggle to balance AI use, with teachers fearing cheating and students seeing it as a helpful learning tool
- US midterms created political backlash against AI, datacentres, and tech firm wealth
- OpenAI partnered with Abu Dhabi's ADNOC and Amazon is building gas-fired power plants in Texas for AI energy needs
- Google Cloud launched CodeMender and Auth Manager to secure AI agents in production
- Google's AI coworker stores credentials write-only and uses domain binding to prevent data leaks
- Video game decompilation community shuts down its main index due to AI-generated low-quality ports
- Return of the Living Dead cast opposes AI-generated sequel and considers legal action
- Heart drug failures raise doubts about AI hype in medicine and biopharma
- PubMed uses MTIX neural network for MeSH indexing since April 2022 and machine learning for search result ranking
- AI predicted a 2-1 Barcelona victory over Atletico Madrid in upcoming match analysis
AI divides teachers and students in schools
Schools are struggling to balance AI use in classrooms. Teachers like Erin Cook worry that students use AI to cheat instead of learning. Students like Alyssa Aguilar see AI as a helpful learning tool that explains topics in depth. However, she warns that relying on AI for everything counts as cheating. The education system has not yet caught up with the rapid rise of AI technology.
US midterms slow AI and datacentre expansion
The US midterm elections created a political backlash against AI, datacentres, and wealthy tech leaders. Voters opposed the rapid build-out of debt-funded datacentres and job losses to AI. The public grew tired of tech firms getting richer while everyday costs kept rising. Experts believe the vote will slow down AI infrastructure investment. Some compare the pushback to past efforts to break up monopolies.
How PubMed uses AI for medical research
PubMed uses AI in several ways to index and search medical literature. Since April 2022, the MTIX neural network system has handled MeSH indexing for all MEDLINE journals. The Best Match feature re-ranks search results using a machine learning algorithm. PubMed also offers tools to search for AI research using MeSH terms like Machine Learning and Deep Learning. A guide published in November 2026 explains how these systems work.
Google's AI coworker protects secrets by design
Google's AI coworker uses a proxy model to keep credentials safe. Developer Philipp Schmid described the system as seven components including brain, computer, and credentials. The system stores keys write-only outside the sandbox so they cannot be read by the agent. It uses domain binding to prevent data leaks when calling tools like Gmail or Slack. The design stops malicious tools from stealing sensitive information.
AI harms game reverse engineering community
A major video game decompilation community is shutting down its main index due to AI misuse. Decompilation turns game code back into readable source code for research and modification. Community leader @encounter said some users now finish projects quickly with AI without understanding the code. These rushed, low-quality ports have damaged the community's purpose. The site will keep tracking existing projects but will stop adding new ones.
Big Oil and AI firms deepen massive energy deals
AI companies are forming close partnerships with oil and gas companies to power their data centers and use AI in energy operations. OpenAI made a deal with Abu Dhabi's ADNOC to deploy AI across the energy firm. Amazon is building gas-fired power plants in Texas to support its AI needs. Legislation under the Trump administration pushes tech companies to provide their own energy sources. AI advocates say the technology could eventually save energy, but critics worry about the environmental impact.
Google Cloud launches new AI agent security tools
Google Cloud introduced new security products to protect organizations using autonomous AI agents. The updates include CodeMender, a code security agent that helps find and fix software vulnerabilities faster. Google also released Auth Manager for credential management and new identity controls for AI agents in production. Hundreds of customers have used CodeMender since its preview in July. The tools aim to help security teams keep up with threats that attack at machine speed.
Return of the Living Dead cast upset over AI sequel
Richard Driscoll crowdfunded a sequel to the 1985 cult classic Return of the Living Dead and released it using AI-generated footage. The original cast members, who were supposed to star in the film, were shocked and upset by the decision. Beverly Randolph and other cast members said they did not agree to have AI used in the movie. Driscoll had been warned not to use AI, but he ignored the advice. The cast is now calling for legal action against the film.
AI predicts Barcelona will edge Atletico Madrid in clash
Artificial intelligence predicted a 2-1 Barcelona victory in the upcoming match against Atletico Madrid at the Metropolitano stadium. Barcelona arrive top of the Spanish league table with strong attacking numbers, scoring 46 goals in 11 matches. Atletico has won seven straight league games but lost to Bayern Munich in midweek. Key players are missing for both teams, including Rodri for Barcelona and Cristian Romero for Atletico. A 2-2 draw is also considered a strong possibility.
Heart drug failures raise doubts about AI hype
Two studies presented at the American Heart Association meeting showed that genetic-based drug approaches failed to help heart patients. The failures highlight a broader pattern where new technologies expected to speed up medicine development fall short. The article compares these setbacks to the current hype around AI in healthcare and biopharma. Author Matthew Herper argues that people should be more skeptical of AI promises in medicine. The lesson from history is that promising technologies do not always deliver results.
Sources
- Competing perspectives on AI
- 1-0 to humankind? US midterms vote puts AI, datacentres and the broligarchy back in their box
- PubMed AI: Where It Uses Machine Learning
- Google's AI coworker hides keys by design
- The game reverse engineering community is the latest casualty of AI
- How Big Oil Became the AI Industry's Favorite Customer
- Google Cloud launches new security tools for AI agents
- Return Of The Living Dead Cast Horrified By AI-Made Sequel
- Height of tension: artificial intelligence predicts the outcome of the Atletico-Barcelona clash
- Why the latest heart drug failures should make us all more skeptical of AI hype
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