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- OpenAI Reveals Why AI Models Are Lying
OpenAI Reveals Why AI Models Are Lying
AI is learning to avoid wrong answers, REFRAG makes information search much faster and bigger, and Roblox now has short video clips, better pay, and new AI tools for creators.
AI and digital platforms are rapidly evolving, shaping both how we trust AI and how creators express themselves. Here are the latest breakthroughs:
AI Hallucinations: Why models like GPT-5 sometimes give confident but wrong answers—and how researchers aim to reward honesty over blind certainty.
REFRAG Innovation: A framework that makes Retrieval-Augmented Generation (RAG) 30× faster and expands context size 16× without losing accuracy.
Roblox Power-Up: Short-form “Moments” clips, boosted creator payouts, and new AI tools for building immersive 3D content.
✨ Together, these updates highlight a future where AI is not only faster and more reliable but also fuels creativity and empowers communities worldwide.
Why AI Models Confidently 'Hallucinate'

Large language models like GPT-5 have revolutionized AI with fluent dialogue and advanced reasoning, yet they still face the stubborn challenge of hallucinations—confident answers that sound plausible but turn out to be false. This phenomenon arises because standard training teaches models to guess when uncertain, rewarding accuracy over honest admission of “I don’t know.” Since models learn patterns from vast text rather than true/false facts, rare or ambiguous questions are tough for even the smartest AI. Experts advocate changing model evaluations to penalize confident errors and reward uncertainty, creating systems that are both more reliable and trustworthy
Improving Latency and Context Size in RAG with REFRAG

REFRAG addresses key challenges in Retrieval-Augmented Generation (RAG), where large language models (LLMs) leverage external knowledge but face latency and memory issues due to processing long concatenated retrieved passages. Many retrieved passages in RAG have low relevance or semantic similarity to the query, causing inefficient block-diagonal attention computations. REFRAG proposes an efficient decoding framework that compresses, senses, and expands these sparse contexts, achieving over 30 times faster time-to-first-token and extending context size by 16 times without accuracy loss. Validated on diverse tasks such as RAG, multi-turn dialogues, and long document summarization, REFRAG significantly speeds up generation while maintaining performance compared to LLaMA and other state-of-the-art models.
Roblox Rolls Out Reels-Style Game Clips to Boost Creator Power

Roblox has launched "Roblox Moments," a TikTok-like short-form video feed in beta for users aged 13 and above, allowing players to capture, edit, and share up to 30-second gameplay clips with music and descriptions. The feed enables the Roblox community to react with emojis, browse shared moments, and launch experiences directly from videos. Alongside this, Roblox announced increased earnings for creators by raising the conversion rate of Robux to cash by 8.5%. The company also introduced new AI tools that enable creators to generate fully interactive 3D objects like vehicles and weapons based on prompts, plus upcoming real-time voice chat translation and APIs for text-to-speech and speech-to-text that enhance in-game narration and voice commands. These updates aim to increase creator freedom, improve user experience, and maintain strict content moderation for safety. Later this year, Roblox will release APIs to empower creators to build their own in-game content sharing and discovery systems, fostering a vibrant creative community on the platform.
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Top AI Products from this week
Tripo AI 3.0 – Tripo is a generative AI model that turns text or images into production-ready 3D assets. Tripo 3.0, built with tens of billions of parameters, delivers sharper geometry, cleaner topology, and richer textures for higher-quality results.
Bika.ai – The first AI Organizer for Building One-Person Company. A messenger-style workspace to chat with multiple AI agents - equipped with automation, databases, and documents to handle organizational tasks across sales, marketing, research, design, and more.
Solid – Unlike Lovable and other prototyping tools, Solid builds real full-stack web apps (Node.js, React, TypeScript). Production-grade code you can scale, maintain, migrate and extend. Don’t waste time on AI builders that only build limited prototypes. Start right.
Vectorize 2.0 - Vectorize 2.0: Your most requested features together: Chat agents - hosted, no-code chatbots Chat widget - one-line website integration Remote MCP - connect to Claude, Cursor, more Real-time pipelines - always-on syncing Smarter retrieval - hybrid search, KG
Spiky Mobile App – Spiky AI is now on iOS! Record meetings, get summaries, transcripts & action items, anytime, anywhere. Stay productive on the move and turn every conversation into revenue-driving insights.
Brick Coder AI – A weekly meta-newsletter that cuts through AI noise. Every Monday, it delivers the most important research, models, tools, deployments, industry moves, and governance updates. Curated, fact-checked, and linked to primary sources.
This week in AI
Meta Planning to Build Hindi AI Chatbots - Meta hires US contractors at $55/hr to craft culturally relevant Hindi AI chatbots for Instagram, Messenger & WhatsApp, enhancing user engagement in India.
Apple Faces AI Training Lawsuit - Apple is sued for allegedly using pirated copyrighted books to train its AI models without author consent or payment, joining other tech firms facing similar legal battles.
OpenAI Backs AI Animated Film - OpenAI backs ‘Critterz,’ an AI-made animated film about forest creatures’ adventure, debuting at Cannes 2026. Made faster, cheaper with AI tools, blending human creativity.
Psychologically Enhanced AI - The paper introduces the MBTI-in-Thoughts framework that primes AI agents with human-like personality traits using MBTI for enhanced, consistent behavior across tasks without fine-tuning.
Paper of The Day
The method builds a Functional Concept Graph from 500K patents, connecting problems and solutions with abstraction links. It uses language models to extract functional tags and clusters similar concepts. The MUSE algorithm samples creative inspirations from the graph, helping users find novel solutions and boosting creativity by up to 19%. This scalable system aids innovation by exploring broad, interconnected ideas beyond common fixes.
To read the whole paper, go to here.