⚡️ No More Nightmares

Good morning. Tired of GPT spewing out lies with confidence? Researchers might have found a cure for these hallucinations. Let’s dive in.

Today’s Highlights:

• Google rolls out new tools to help users fact-check images

• Amazon introduces 'Explore with Alexa' for interactive learning

• Grammarly set to make your AI-generated text sound more like you

DEEP DIVE

A Solution to AI's Hallucination Problem

Researchers from the University of Science and Technology of China (USTC) and Tencent YouTu Lab have offered a fresh perspective on tackling the prevalent AI issue of hallucination with the development of an innovative framework called Woodpecker.

Hallucination, a phenomenon in Multimodal LLMs where generated text is inconsistent with the image content, has always haunted AI advancements. However, Woodpecker’s training-free concept rectifies hallucinations without retraining models and eliminates the need for specific data, making it a groundbreaking solution.

Woodpecker performs correction after a thorough diagnosis, incorporating five stages: key concept extraction, question formulation, visual knowledge validation, visual claim generation, and hallucination correction. Starting with the extraction of primary objects in the text, it formulates questions around these objects for visual knowledge validation. The validated responses are then turned into a visual knowledge base, guiding the correction of the text's hallucinations.

But how well does Woodpecker perform?

The team used several datasets to test its effectiveness. Their results, they report, were particularly impressive with the POPE benchmark, where Woodpecker boosted the accuracy of the MiniGPT-4/mPLUG-Owl baseline from 54.67%/62% to a whopping 85.33%/86.33%.

The hallucination problem has been a significant barrier in practical applications of MLLMs in various sectors such as content generation, automated customer service, and data analysis. The development of Woodpecker could possibly eliminate some of these issues and usher us into an era of highly accurate, reliable AI models.

Keep reading here.

PUNCHLINES

Apocalyptic AI: Human extinction risk from AI on the same scale as pandemics and nuclear war, warns Sunak.

Android Detox: Google announces new user reporting requirements for AI-generated content in Android apps.

Your Ghostwriter: Grammarly’s upcoming feature makes your AI-generated text sound more like you.

Flirting with Fiction: This startup just raised a 430K angel round to help you co-write erotica with AI.

TLDR

Google's new tools aim to fact-check images: Google has unveiled a selection of tools to help users authenticate the legitimacy of images online. Titled "About this image," it permits users to check an image's historical use, metadata, and whether it's AI-generated.

Frontier Model Forum dedicates $10M for AI safety research: The Frontier Model Forum (which includes Google, Microsoft, and OpenAI) pledges $10M towards a fund that aims to aid researchers from academic and institutional backgrounds in advancing their tools for AI model testing and evaluation.

Cisco introduces new AI tools for Webex: Cisco's new AI tools for Webex promise to improve user experience with automation features and improved performance through a real-time media model, an AI-powered audio codec, and an AI assistant. These technologies enable high-quality audio with less bandwidth, text, and voice enhancement, and a more efficient user interface.

Amazon introduces AI-powered 'Explore with Alexa' for Kids: Amazon launches 'Explore with Alexa', a conversational AI experience for children. The AI-driven feature is designed to provide kids access to safe, interactive knowledge sharing, with safeguards against inappropriate content.

TRENDING TOOLS

🖼️ Promptchain: Create intriguing visual prompt chains with advanced AI models

🧑🏼‍⚕️ ChatDox AI 2.0: Your new personal AI assistant

🧭 Compass: Your venture co-pilot on-demand

🎞️ Sync Labs: Seamlessly synchronize any video with any audio

🗣️ Speak AI: Convert your language data into insightful findings quickly without coding

That’s all for today—if you have any questions or something interesting to share, please reply to this email. We’d love to hear from you!

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