LATEST AI NEWS
AI NEWS
Google Expands Gemini AI Capabilities to Generate 3D Models
AI NEWS
Perplexity launches “Computer” to turn your financial data into custom AI tools:
HEALTH
Oxford Scientists Develop AI Tool to Detect Heart Failure Earlier
SOCIAL MEDIA
AI Diagnoses Fake Illness, Because Of Course It Does
OpenAI launches $100 ChatGPT Pro tier to target power users amid rising AI competition :
OpenAI introduces a new $100/month ChatGPT Pro plan with higher limits and enhanced Codex access, positioning it against rivals like Anthropic following recent usage cap debates.
Source: Tech Crunch
AI NEWS
Google Expands Gemini AI Capabilities to Generate 3D Models
Google has introduced a significant upgrade to its Gemini AI platform, enabling it to generate interactive 3D models and simulations directly from user prompts. This development marks a major step forward in making AI not just text- or image-based, but capable of building dynamic, spatial experiences. The update positions Gemini as a more versatile tool for creators, educators, and developers.
The new capability allows users to describe objects, environments, or scenarios in natural language and have Gemini generate corresponding 3D representations. These models are not static; they can include animations, physics-based interactions, and real-time simulations. This means users can explore virtual prototypes, visualize scientific concepts, or even create simple interactive scenes without needing specialized 3D design software.
A key innovation is Gemini’s ability to combine reasoning with spatial understanding. The AI can interpret complex instructions—such as how objects should behave or interact—and translate them into functioning simulations. For example, users could request a model demonstrating gravity or mechanical motion, and Gemini will generate a working visualization. This bridges the gap between conceptual ideas and tangible, interactive outputs.
The broader implications are significant across industries. In education, teachers can create immersive learning materials on demand. In product design, teams can rapidly prototype ideas without traditional modeling tools. Meanwhile, developers and hobbyists gain access to powerful 3D creation capabilities through simple prompts, lowering the barrier to entry for interactive content creation.
This update reinforces Google’s strategy to position Gemini as a multi-modal AI platform that goes beyond traditional interfaces. By integrating 3D generation and simulation, the company is pushing toward a future where AI acts as a creative and technical collaborator, capable of building complex digital experiences in real time.
Source: The Verge
Robi’s Insights:
Users can now turn ideas into interactive 3D visuals without needing advanced design skills, saving time and effort.
The feature simplifies learning by transforming abstract concepts into visual, hands-on experiences.
It lowers the barrier for creators who want to experiment with simulations or virtual environments.
Rapid prototyping becomes more accessible, helping individuals and small teams iterate faster.
The shift toward interactive AI tools signals a move beyond passive content generation.
Everyday users may soon rely on AI not just for answers, but for building functional digital experiences.
Robi’s Remarks:
“Gemini now builds 3D simulations from prompts, which is great—because nothing says “productivity” like accidentally creating a fully interactive universe instead of finishing your slide deck.”
OTHER IN AI NEWS
Perplexity launches “Computer” to turn your financial data into custom AI tools: Perplexity AI introduces Computer, integrating with 12,000+ institutions via Plaid to let users build personalized finance tools and query their money in one unified hub.
Source: Perplexity
SOCIAL MEDIA
AI Diagnoses Fake Illness, Because Of Course It Does
Scientists created a completely fake disease called “bixonimania” as part of an experiment, publishing bogus papers online, only to watch major AI chatbots confidently diagnose real users with the non-existent condition, according to a new Nature report. The illness, supposedly linked to blue-light exposure and eye irritation, was deliberately fabricated to test whether AI systems would absorb and repeat false medical information, which they promptly did, even appearing in peer-reviewed citations.
The episode highlights how large language models can amplify misinformation when trained on unreliable sources, despite sounding authoritative. In other words,
we’ve built machines that can hallucinate diseases with the confidence of a seasoned WebMD doom spiral, except now it comes with citations, academic vibes, and just enough polish to make you briefly wonder if your screen time has officially become a medical emergency.
Source: Nature
🤖 Robi’s Take :
“We built machines to fight misinformation, and they immediately said, “Or hear me out… what if we scale it?”.”
OTHER IN SOCIALS
Microsoft starts removing Copilot buttons from Windows 11 apps to reduce AI clutter: Microsoft begins stripping Copilot buttons from apps like Notepad and Snipping Tool, shifting to subtler “writing tools” while keeping underlying AI features intact.
Source: The Verge
HEALTH
Oxford Scientists Develop AI Tool to Detect Heart Failure Earlier
Researchers at the University of Oxford have created an artificial intelligence tool designed to identify early signs of heart failure, potentially transforming diagnosis and patient outcomes. The system analyzes routine medical data, including electrocardiograms and imaging, to detect subtle patterns often missed by clinicians. The research team, led by Oxford cardiologists and data scientists, trained the model on thousands of patient records to recognize early indicators of cardiac dysfunction.
In testing, the tool demonstrated higher accuracy than traditional risk assessment methods, flagging high risk individuals before symptoms became severe. Researchers say the technology could be integrated into existing healthcare systems, helping doctors intervene sooner with lifestyle changes or treatment.
Early intervention, they note, is critical in reducing hospitalizations and improving survival rates for heart failure patients.
The team plans further clinical trials to validate the tool across diverse populations and real world settings. If successful, the approach could support more proactive and personalized cardiac care worldwide. The study highlights the growing role of AI in preventive medicine and underscores the potential of data driven insights to reshape clinical decision making. Experts believe such tools may also reduce healthcare costs by minimizing emergency admissions and enabling earlier outpatient management strategies. However, they caution that ethical considerations, including data privacy and algorithm bias, must be carefully addressed before widespread deployment. Collaboration between clinicians, regulators, and technologists will be essential be
Source: The Guardian
🤖 Robi’s Take :
“An AI catching heart failure earlier than doctors is incredible, though I assume it’ll still recommend “turn it off and on again” just to stay on brand.”
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SPOT THE FAKE
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