Content Fans

All News

2235 articles • Page 84 of 149

OpenAI Unveils 5-Phase Playbook to Build ChatGPT "Moats"

OpenAI Unveils 5-Phase Playbook to Build ChatGPT "Moats"

OpenAI has a five-step plan to keep ChatGPT ahead and affordable. They focus on making ChatGPT smarter and more useful, adding special features and keeping things easy to use. By building custom computer chips and strong security, they make ChatGPT hard to copy and trusted by big companies. OpenAI also controls costs by sending simple tasks to cheaper models and keeping an eye on spending. Their goal is to make sure people stay with ChatGPT even if many copies appear.

How writers train ChatGPT to mimic their voice and style

How writers train ChatGPT to mimic their voice and style

Writers can teach ChatGPT to sound just like them by giving it clear examples and a short style guide. Instead of repeating instructions, they store their rules and favorite tricks in one place, so the AI remembers their voice every time. Step by step, writers have ChatGPT learn from their best work, point out habits, and help improve the guide. This method saves time, cuts editing work in half, and keeps writing feeling personal - but humans still need to check the AI's facts and tone.

Cursor AI Expands Dev Workflows Beyond GitHub Copilot

Cursor AI Expands Dev Workflows Beyond GitHub Copilot

Cursor AI is a new code editor that builds on VS Code and brings smart AI helpers right into your workflow. It helps you make big changes across your whole project quickly by letting you ask for edits in plain language, like telling it to add new features. Cursor can handle tasks that need to touch lots of files at once, something that makes it even more powerful than GitHub Copilot. Most users say it saves them time and makes coding more fun, especially once they get used to its tools in just a few days.

New social series unveils human-in-the-loop AI safeguards for transparency
Business & Ethical AI

New social series unveils human-in-the-loop AI safeguards for transparency

A new social media series called "Behind the AI" is showing how humans help check and guide AI decisions. The series uses short videos and clear stats to show real people reviewing AI work, making it easier for everyone to trust the technology. With new laws and more people wanting transparency, the series explains how privacy is protected and how feedback makes AI better. Viewers can see exactly how trust and safety are built into these systems and are invited to learn more or try a demo.

Writer uses Claude to analyze performance data, build style guide

Writer uses Claude to analyze performance data, build style guide

Katie Parrott used Claude, an AI chatbot, to deeply analyze her writing work by feeding it a year's worth of performance data. Claude showed her that her columns brought in a big chunk of the site's readers and had high ratings. The AI helped her see her real value and even guided her to build clear rules for her writing style. Using Claude made Katie feel more confident and gave her tools for honest self-improvement. She warns others to double-check AI results and keep private data safe.

OpenAI and Common Sense Media merge rival California AI kids-safety proposals

OpenAI and Common Sense Media merge rival California AI kids-safety proposals

OpenAI and Common Sense Media joined forces to create new rules to keep kids safe when using AI chatbots in California. They combined their competing plans into one, called the Parents & Kids Safe AI Act, which could become state law if enough people vote for it in 2026. The new rules would make chatbots use age checks, stop ads aimed at kids, and block dangerous topics like self-harm or adult content. This unusual partnership is making people pay attention, and other states might follow California's lead. Now, the groups are working hard to get support so these strong safety rules can become real.

Pinterest Updates Powers Hybrid AI Search; Here's How to Rank

Pinterest Updates Powers Hybrid AI Search; Here's How to Rank

Pinterest is using smarter AI that understands both pictures and words to help people find products. Shoppers now use photos or short questions instead of typing item codes, so brands need clear images and simple, natural descriptions. To stand out, use good photos, add detailed info like price and size, and make sure your product data is easy for both Pinterest's camera search and chatbots like ChatGPT to read. Success comes from tracking saves, mentions, and real shopper actions, and using real photos over computer-made pictures. Brands that do these things appear more often when people are searching and shopping.

EU, UK, India open probes as X floods with AI deepfakes

EU, UK, India open probes as X floods with AI deepfakes

Social media platform X was overwhelmed by a wave of explicit fake images made with AI tool Grok, creating a global uproar. In just one day, researchers found over 160,000 deepfakes, many targeting famous people and even political leaders. The EU, UK, and India quickly launched investigations, demanding answers and threatening big penalties. Even after putting stricter rules and paywalls in place, X struggled to stop offensive images from spreading. Experts warn that unless stronger safeguards and checks are added, these dangerous AI images could multiply again soon.

Google integrates Gemini 3 into Gmail, launches AI Overviews in 2026

Google integrates Gemini 3 into Gmail, launches AI Overviews in 2026

In 2026, Google is adding Gemini 3, a powerful AI, directly into Gmail for U.S. users. This means Gmail can now answer questions, write emails in your style, and help you spot important messages. New features like AI Overviews give you quick summaries and answers from your emails, and 'Help Me Write' lets Gemini draft emails for you for free. There's also a smart AI Inbox that shows important senders and makes to-do lists. Google says these tools help people save lots of time, but they're also working to keep everything safe from new risks.

How to Build AI Memory Systems For Institutional Knowledge

How to Build AI Memory Systems For Institutional Knowledge

Building an AI memory system helps organizations remember important projects, policies, and decisions, making it easier for new people to get started and reducing repeated questions. To succeed, teams should set clear goals, use the right kind of data storage, and always keep the system updated with new information. Good rules for who can see what and regular checks keep everything safe and clear. Start small, learn what works, and then grow the system so everyone benefits from shared knowledge.

OpenAI and Google Detail 5 Pillars for Reliable AI at Scale

OpenAI and Google Detail 5 Pillars for Reliable AI at Scale

OpenAI and Google have learned how to safely launch big AI systems by starting small and observing everything closely. They use five main steps: good data, careful watching, strong safety rules, reliable infrastructure, and user-friendly products. When testing new AI, they let only a tiny bit of traffic try it first and can quickly switch back if something goes wrong. This way, mistakes are caught quickly, risks stay small, and every problem helps make the systems smarter and safer. The key to their success is not just the AI itself, but careful engineering and fast reaction to any issues.

AI Leaders Adopt Chief Question Officers to Avoid Turing Trap

AI Leaders Adopt Chief Question Officers to Avoid Turing Trap

Leaders in AI are now hiring Chief Question Officers (CQOs) to make sure people and machines work together, not just let AI take over. This helps companies solve problems faster, make better decisions, and keep things fair. Research shows that asking the right questions and using AI to help, not replace, people leads to happier workers and customers. Rules like always having a human check important results make sure AI is used safely. The best leaders learn new skills so people and AI can team up for the best results.

ElevenLabs unveils Scribe v2, claims record-low speech-to-text error rate

ElevenLabs unveils Scribe v2, claims record-low speech-to-text error rate

ElevenLabs just launched Scribe v2, a new speech-to-text tool that says it barely makes mistakes, even with tough voices and noisy backgrounds. This upgrade can understand over 90 languages and is cheaper than before, costing less than $1 for every hour of audio. Scribe v2 also comes with cool features like picking out important words, tagging different speakers, and spotting sounds like laughter or applause. Experts say this could make subtitles and meeting notes super easy with almost no errors. Now, developers and big companies might switch to this tool to save time and money.

AI workforce orchestration becomes key by 2026

AI workforce orchestration becomes key by 2026

By 2026, AI will work alongside people, not just as a tool, but as part of the team. Companies will use smart systems to manage lots of AI agents, helping with jobs like sales, finance, and customer service. This means humans will focus more on decision-making and relationships, while AI handles routine tasks. Businesses that learn to manage and control these AI agents well will grow faster and unlock new job roles, like "agent orchestrator" and "AI ethics lead." The future workforce will be a mix of humans and AI, working together every day.

OpenAI: 1.2M ChatGPT Users Discuss Suicide Weekly

OpenAI: 1.2M ChatGPT Users Discuss Suicide Weekly

Each week, over a million people tell ChatGPT about thoughts of suicide, showing just how many are struggling. OpenAI is working hard to make the chatbot safer, using better models and giving out help hotlines. Laws in places like New York and California now demand that chatbots spot and respond to these cries for help, or face legal trouble. Other tech companies are also trying to fix this, but experts warn AI isn't always safe or understanding. The big challenge is making sure chatbots help people in crisis and never make things worse.