LATEST AI NEWS
AI NEWS
Perplexity Unveils “Computer,” a Multi-Model AI Built to Run Projects End-to-End
AI NEWS
Google Translate Taps Gemini for Smarter, Context-Aware Translations
HEALTH
ChatGPT Fails to Recognize Medical Emergencies in Health Queries
SOCIAL MEDIA
Burger King’s New Manager Is An Algorithm Named Patty
Google Rolls Out Nano Banana 2 (Gemini 3.1 Flash Image):
Google’s upgraded image model adds real-time web grounding, sharper reasoning, better text rendering, and supports outputs from 512p to 4K inside the Gemini app.
Source: Google
AI NEWS
Perplexity Unveils “Computer,” a Multi-Model AI Built to Run Projects End-to-End
Perplexity AI has introduced Computer, a new general-purpose digital worker that can autonomously execute complex projects from start to finish using a coordinated system of 19 different AI models. Unlike traditional chat-based assistants, Computer is designed to operate over extended periods, independently managing workflows that may last hours, weeks, or even months. The launch signals Perplexity’s push beyond AI-powered search into fully autonomous task execution.
Computer works by breaking down large objectives into structured subtasks, then routing each task to the AI model best suited for that specific function. Instead of relying on a single large model, the system dynamically selects from a pool of 19 specialized models, optimizing for reasoning, coding, analysis, or content generation depending on the requirement. This modular architecture allows Computer to function more like a project manager coordinating expert contributors than a standalone chatbot.
Perplexity claims the system can handle a wide range of use cases, including generating competitor analysis reports, conducting in-depth research, and even building full applications. By orchestrating multiple AI systems behind the scenes, Computer aims to reduce the need for constant human prompting, enabling users to assign an objective and let the system execute with minimal supervision.
The tool is currently available on the web for Max subscribers, with Pro and Enterprise access expected soon. With Computer, Perplexity is positioning itself in the emerging market of autonomous AI agents that go beyond answering questions to delivering finished outcomes.
Source: Perplexity
Robi’s Insights:
Users can delegate entire multi-step projects instead of managing AI prompts one by one.
The multi-model routing approach may deliver higher-quality outputs by matching tasks to specialized systems.
Long-running execution means fewer interruptions and less manual oversight for complex workflows.
Businesses could streamline research, reporting, and app development without expanding headcount.
Subscription-tier access suggests advanced AI automation is becoming a premium productivity layer.
This signals a shift from conversational AI to outcome-driven digital workers built for execution.
Robi’s Remarks:
“Perplexity built a “digital worker” that manages 19 other AIs, because apparently even robots need middle management. It’s less chatbot, more AI corporate org chart. Somewhere, a human PM just got replaced by a flowchart.”
OTHER IN AI NEWS
Google Translate Taps Gemini for Smarter, Context-Aware Translations: Google Translate is now using Gemini AI to offer alternative, context-aware translations and new “Understand”/“Ask” features for more nuanced language choices.
Source: The Verge
SOCIAL MEDIA
Burger King’s New Manager Is An Algorithm Named Patty
Burger King is piloting an AI-powered chatbot called “Patty” that operates through employee headsets as part of its new BK Assistant platform. Powered by OpenAI, the system helps staff with food preparation and operational questions while also evaluating customer interactions for “friendliness.” The AI is trained to recognize phrases such as “welcome,” “please,” and “thank you,” allowing managers to review performance metrics. Integrated with the company’s cloud-based point-of-sale system, it can also flag out-of-stock items and equipment issues.
Patty is currently being tested in 500 US restaurants, with a nationwide rollout planned by the end of 2026.
In practice, that means a disembodied AI voice whispering prep tips into workers’ ears while silently scoring whether they sound sufficiently chipper while handing over fries. Managers get dashboards, employees get real-time nudges, and customers get the comforting knowledge that their “thank you” is now part of a data set. It’s framed as operational support, but it also doubles as a politeness referee, turning basic human courtesy into trackable KPIs. Fast food has long been optimized for speed and efficiency; now it’s optimizing for vibes, because nothing says hospitality like an algorithm making sure you smiled. Welcome to the future of burgers, where even your enthusiasm is machine readable and performance reviewed by corporate headquarters quarterly.
Source: The News
🤖 Robi’s Take :
“We optimized burgers for speed, then for cost, now we’re optimizing for cheerfulness. The future of work isn’t just automation; it’s automation grading your vibes. Somewhere, “enthusiasm” just became a quarterly KPI.”
OTHER IN SOCIALS
Figma Integrates OpenAI’s Codex Into Design Workflow: Figma partnered with OpenAI to embed the Codex AI coding assistant directly into its platform, enabling seamless bidirectional workflows between design and code via the MCP server.
Source: Tech Crunch
HEALTH
ChatGPT Fails to Recognize Medical Emergencies in Health Queries
An investigation has found that ChatGPT failed to consistently identify potentially life-threatening medical emergencies when users described serious symptoms, raising renewed concerns about the safety of relying on artificial intelligence tools for health advice. Researchers testing the chatbot reported that it sometimes offered general guidance instead of urgently directing users to seek immediate medical care.
The study, reported by The Guardian, evaluated how the AI responded to prompts describing symptoms such as chest pain, breathing difficulties and signs of stroke. While the system occasionally advised seeking professional help, in several cases it did not clearly recognise the urgency of the situation.
Researchers warned that ambiguous or overly reassuring responses could delay people from contacting emergency services.
Experts involved in the evaluation said large language models are not designed to function as diagnostic tools and may struggle to interpret nuance in symptom descriptions. OpenAI has previously stated that ChatGPT is intended to provide general information and not replace professional medical advice. The findings highlight ongoing challenges in ensuring AI systems deliver safe and appropriate responses in high-risk health scenarios.
The researchers called for stronger safeguards, clearer disclaimers and improved emergency recognition protocols before such tools are integrated more deeply into healthcare decision-making. They emphasized that patients experiencing severe symptoms should always contact qualified medical professionals or emergency services directly.
Source: The Guardian
🤖 Robi’s Take :
“If you say “I think I’m having a stroke” and the AI replies with “here are some possible causes,” that’s not triage, that’s trivia. Large language models predict the next word, not the next heartbeat. In a crisis, you need 911… not 4o-mini.”
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