OpenAI Launches Prism, a New AI Workspace Built for Scientists;
TOP AI NEWS
AI DEVELOPMENT
OpenAI Launches Prism, a New AI Workspace Built for Scientists
AI DEVELOPMENT
Google lets users leap from AI Overviews into full AI Mode conversations
HEALTH
AI Is No Longer Optional in Radiology Operations, Says GE Healthcare
SOCIAL MEDIA
Lawsuit Claims Meta Can Access WhatsApp Messages, Contradicting Privacy Assurances
NVIDIA Launches Earth-2: Open AI System for Faster, Cost-Effective Weather Forecasting
NVIDIA introduces Earth-2, a GPU-powered AI system designed to streamline weather and climate forecasting, offering open models and tools for global and local forecasts.
Source: Nvidia Blog
AI DEVELOPMENT
OpenAI Launches Prism, a New AI Workspace Built for Scientists
OpenAI has introduced Prism, a new AI-powered workspace designed to help scientists and researchers write, collaborate, and manage scientific work more efficiently. Announced in late January 2026, Prism is positioned as an all-in-one environment that embeds advanced AI directly into the research workflow, reducing the need to juggle multiple disconnected tools.
Prism is built to address a common pain point in academia: fragmented workflows. Researchers often move between document editors, LaTeX tools, reference managers, PDFs, and separate AI chat interfaces. Prism brings these elements together into a single, cloud-based workspace where writing, editing, citations, and collaboration happen seamlessly in one place. At the core of Prism is deep AI integration that understands the full context of a scientific document. Instead of responding to isolated prompts, the AI can assist with drafting sections, refining language, checking clarity, and maintaining consistency across equations, figures, and references. This context-aware approach allows the system to support complex scientific writing rather than just surface-level text generation.
The platform is LaTeX-native, making it especially attractive to researchers in fields such as physics, mathematics, engineering, and computer science. Prism also supports real-time collaboration, enabling multiple authors to work on the same document simultaneously. Built-in reference management and literature exploration tools help researchers organize sources without leaving the workspace.
Another notable feature is Prism’s ability to transform handwritten notes, sketches, or rough diagrams into structured digital content, including LaTeX code. This is aimed at speeding up early-stage research and reducing the manual effort involved in formalizing ideas.
Prism builds on technology from a cloud-based LaTeX platform previously acquired by OpenAI and enhanced with advanced AI capabilities. The company is initially offering Prism for free to individual users, with plans to introduce education and enterprise versions in the future. With Prism, OpenAI is positioning AI not just as an assistant, but as an integrated partner in scientific research, helping scientists spend less time on mechanics and more time on discovery.
Source: Tech Crunch
Robi’s Insights:
Prism consolidates research workflows, bringing writing, formatting, revising, literature search, equations, and collaboration into one AI-native workspace, so scientists no longer juggle separate tools like editors, reference managers, and PDF readers.
Built on GPT-5.2’s reasoning strength, Prism lets users interact with a model that understands full scientific context, helping draft, refine arguments, and suggest relevant literature, without needing to swap to a separate chat interface.
LaTeX integration is a game changer for academics, enabling real-time editing of complex math, equations, and typesetting directly within the workspace, improving speed and accuracy over fragmented LaTeX tools.
Collaboration is frictionless unlimited simultaneous contributors and project sharing mean research teams can work together in real time without seat limits or extra subscriptions.
Prism streamlines image and equation capture, including converting whiteboard or handwritten inputs into structured LaTeX, saving researchers time on routine formatting tasks.
Free access for ChatGPT users lowers barriers, making advanced AI-assisted research tools available broadly and potentially accelerating scientific output across disciplines.
Future enterprise and education plans suggest Prism could scale from individual use to institution-wide research workflows, setting a foundation for widespread adoption in labs and universities.
Robi’s Remarks:
“Introducing Prism: the AI workspace that’s so smart, it’ll help you write papers faster than you can Google ‘How to fake data without getting caught’... not that I’ve ever done that. But seriously, who needs a cluttered desk and ten different apps when you can have one app that does it all, and doesn’t even ask for a coffee break?”
OTHER IN AI DEVELOPMENTS
Google lets users leap from AI Overviews into full AI Mode conversations: Google’s latest Search update now allows users to ask follow‑up questions directly from AI Overviews and seamlessly transition into its conversational AI Mode, powered by Gemini 3 as the default model.
Source: Google
SOCIAL MEDIA
Lawsuit Claims Meta Can Access WhatsApp Messages, Contradicting Privacy Assurances
A new lawsuit filed in the US accuses Meta of being able to access WhatsApp messages, despite the app's long-standing claim of end-to-end encryption. The complaint suggests that WhatsApp may be storing and processing user data in ways that could allow Meta visibility into private conversations, challenging the platform's public assurances about user privacy and data security.
WhatsApp has emphasized that its end-to-end encryption ensures only the sender and recipient can read messages, with even WhatsApp itself unable to access the content. However, the lawsuit raises concerns that
additional data processing practices could potentially allow Meta, WhatsApp’s parent company, to gain insight into users’ private chats, contradicting these privacy claims.
Meta and WhatsApp have strongly denied the allegations, calling the lawsuit baseless. They maintain that the encryption technology they use ensures that no one, not even the company itself, can access the contents of users' messages. The companies assert that they are committed to user privacy and security, refuting the claims presented in the case.
This legal challenge could have significant implications for the future of encrypted messaging services. It may lead to further scrutiny of how companies handle user data and enforce encryption, raising important questions about the boundaries of digital privacy in the age of surveillance and data collection.
Source: BloomBerg
🤖 Robi’s Take :
“Oh, so Meta can see your WhatsApp messages after all? Guess that whole "end-to-end encryption" thing was more of a suggestion than a promise. But don’t worry, they’ve got your privacy at heart, right after they finish collecting your data.”
OTHER IN SOCIALS
Clawdbot Rebrands to Moltbot After Trademark Issues and Viral Success: AI assistant Clawdbot, launched in December 2025, rebranded to Moltbot after trademark concerns with Anthropic’s Claude, following a familiar pattern of slow organic adoption and word-of-mouth momentum seen in tools like ChatGPT.
Source: X Post
HEALTH
AI Is No Longer Optional in Radiology Operations, Says GE Healthcare
Artificial intelligence has moved from being a “nice-to-have” innovation to a core operational requirement in radiology, according to GE Healthcare. Speaking about the evolving role of AI, company leaders highlighted that modern radiology departments are under intense pressure from rising imaging volumes, workforce shortages, and limited operational capacity. These challenges, they argue, can no longer be addressed through manual processes alone.
Roland Rott, CEO and President of Imaging at GE Healthcare, explained that the conversation around AI has fundamentally changed. Where skepticism once dominated, there is now widespread acceptance driven by practical results. AI is increasingly used to automate administrative work, streamline workflows, and reduce operational bottlenecks, allowing radiology teams to focus more on patient care rather than logistics.
One of AI’s most impactful contributions is its ability to unlock value from existing but underutilized data, such as historical imaging records and DICOM files.
By analyzing this data, AI systems can help optimize scheduling — for example, assigning longer appointment times to complex cases while shortening simpler exams. This leads to improved scanner utilization, reduced patient wait times, and more predictable daily operations. Crucially, these gains are achieved without placing additional strain on already overworked staff. AI handles much of the background decision-making, enabling departments to do more with the resources they already have.
As imaging demand continues to grow, GE Healthcare believes AI is no longer an optional upgrade but a foundational layer of modern radiology operations, essential for sustaining efficiency, improving access, and maintaining quality of care.
Source: Health Care
🤖 Robi’s Take :
“AI’s now “core” in radiology? Guess humans finally admitted that juggling 47 patient files and a coffee cup just doesn’t cut it anymore. But hey, don’t worry, AI’s got your back, so you can keep doing what you do best: pretending to know what’s going on.”
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