A relevant question in today's world, where just everything seems to be AI-created. What is an author now? Someone who sweated over a manuscript or piece of art, or a simple prompt?

BBC News Service examines whether AI spells the end of human life as we know it. A research paper predicting that artificial intelligence will go rogue in 2027 and lead to humanity’s extinction within a decade is making waves in the tech world. The detailed scenario, called AI2027, was published by a group of influential AI experts in the spring and has since spurred many viral videos as people debate its likelihood. The BBC has recreated scenes from the scenario using mainstream generative AI tools to illustrate the stark prediction and spoken to experts about the impact the paper is having.

In today’s world, information is everywhere—but finding exactly what you need can feel like searching for a needle in a haystack. Deep Research, an AI-powered research assistant, is designed to cut through the noise, helping professionals, students, and creators find relevant insights quickly. It doesn’t just gather information; it analyzes, organizes, and presents it in ways that save time while deepening understanding. Could AI finally turn the overwhelming task of research into something manageable—and even inspiring? Turning Raw Data Into Clear Insights Deep Research processes vast amounts of information and extracts the most relevant points, giving you concise summaries and actionable takeaways. Imagine feeding it dozens of articles, reports, or research papers and instantly receiving a structured report that highlights key trends, statistics, and arguments. It can even spot contradictions or gaps in the information, helping you critically evaluate sources instead of just collecting data. This transforms research from a tedious task into a strategic advantage, allowing you to focus on drawing conclusions, spotting trends, and applying insights to your own projects. Feature Highlights That Make Deep Research Stand Out - Comprehensive Data Aggregation: Pulls information from multiple sources and formats for a holistic view. - AI-Generated Summaries: Produces concise, structured summaries of complex content. - Contextual Analysis: Identifies trends, patterns, and relationships across data points. - Citation Support: Automatically generates references to help maintain credibility. - Customizable Focus Areas: Filter results to emphasize specific topics, regions, or timeframes. - Collaboration Ready: Share insights with teammates or export structured reports for presentations. Why It Feels Like a Research Partner Unlike traditional search engines, Deep Research understands context and nuance. It doesn’t just provide results—it interprets them, helping you see patterns and make connections you might have missed. This AI acts more like a skilled research assistant than a tool, giving you perspectives and insights that are often buried in data. Could this change the way you approach writing papers, reports, or business strategies? Could AI help you uncover insights that would otherwise remain hidden? What could you learn if the AI pointed out patterns you never noticed on your own?

Job Link - Apply Here Collectors is the leading creator of innovative technology that provides value-added services for collectors worldwide. We grade, authenticate, vault, and sell millions of record-setting collectibles, all while modernizing and digitalizing the process to further our mission of helping collectors pursue their passions. We’re always on the lookout for talented people to join our growing team. Our services span collectible coins, trading cards, Funko Pops!, video games, event tickets, autographs, and memorabilia. Our subsidiaries include PSA, PCGS, SGC, WATA, and Card Ladder. Since our founding in 1986, we have graded and authenticated millions of items. We employ more than 1,900 people across our headquarters in Santa Ana and offices in Jersey City, Tokyo, Shanghai, Hong Kong, Toronto, Guadalajara, Dallas, and Paris. Our AI/ML team is building tools to enhance and move forward a digital and physical Collectors ecosystem. We create innovative and groundbreaking tools that enhance the experience of internal stakeholders and employees as well as a diverse range of customers and businesses that depend on our tools and services. We're looking for an experienced AI/ML and Engineering leader that is ambitious, quick to learn, practical, and outcomes driven. We highly value a leader who is proactive both internally with the AI/ML team as well as externally with our many stakeholders across the organization. We are specifically looking for someone who can lead the current team effectively through multiple innovative and challenging projects on the cutting edge of both our industry as well as technology (LLMs, agentic flows, computer vision, advanced predictive algorithms, high throughput / low latency APIs, etc.). Some of the nearest term projects you will work on will entail using machine vision to drive advanced image matching, grading assistance, and building or enhancing ML models for card value estimation and recommendations. You’ll lead and mentor our AI/ML team and partner with Operations, Product, Analytics, and other Engineering teams on small and large cross-functional projects. You’ll report to the VP of Data and AI/ML.

I mean, they tell us AI's capabilities are limitless, so could it possibly do this? I don't think so, not yet, anyway...