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- Global AI Safety Accord and IBM's Watsonx Usher in Era of Responsible AI
Global AI Safety Accord and IBM's Watsonx Usher in Era of Responsible AI
PLUS: Instagram Crafts Tailorable AI Companion
The Hidden Layer
November 02, 2023
Greetings, curious minds!
Join us for a captivating expedition through the latest in AI in edition #27 of The Hidden Layer.
Today's AI Headlines:
Multilateral AI Safety Accord Sealed at UK Summit
IBM Introduces Watsonx for AI-Powered Code Generation
AI's Implications for the Travel Sector
Instagram Crafts Tailorable AI Companion
UK, US, China sign AI safety pledge at UK summit
The UK hosted the first global AI safety summit with 28 countries agreeing urgent action is needed to manage AI risks. Leaders called for responsible AI development at the event which the UK hopes will lead to international collaboration.
The summit focused on advanced "frontier" AI like chatbots. Attendees included Elon Musk who applauded its timeliness. Some are skeptical it will lead to concrete action but see potential if major countries commit. China was invited amid tensions with the West over tech espionage.
FROM OUR PARTNERS
AI Spotlight
AI's Implications for the Travel Sector (Read Online)
Instagram Crafts Tailorable AI Companion (Read Online)
SAP Launches Enterprise Tools for Custom AI Apps (Read Online)
IBM Launches watsonx Code Assistant, Delivers Generative AI-powered Code Generation Capabilities Built for Enterprise Application Modernization
IBM launched a new AI assistant called Watson Code Assistant to help developers write code faster using natural language prompts. It currently assists with automating IT tasks and modernizing mainframe applications. IBM sees opportunities to expand it to more coding uses.
Watson Code Assistant is built on IBM's Granite foundation model and Watson platform. It is designed for enterprise security and compliance. IBM Consulting offers expertise in using the assistant for IT automation and modernization. Early tests showed efficiency gains around 20-45% from Watson Code Assistant.
FROM OUR PARTNERS
AI Glimpse
Harris Highlights Urgent Threats from AI (Read Online)
ChatGPT Head Flags Potential 'Superhuman' AI Skills (Read Online)
Prompt of the Day:
I’m working on a video game titled [Your Game Title Here], themed around [Main Theme or Setting of the Game] targeting a [Target Audience] demographic. The game falls under the [Specific Genre or Type of Game] category, with influences from [Any Other Games or Genres That Have Influenced Your Game].
I’m exploring the Zeigarnik Effect to enhance player engagement and retention, focusing particularly on the player rewards system to create an addictive yet satisfying experience.
Could you provide a detailed draft, including specific storylines, quest designs, and a rewards system that applies the Zeigarnik Effect within [Your Game Title Here]? I'm interested in actionable strategies and tangible examples that demonstrate how these elements can be integrated to maintain player interest, ensure game completion, and preserve the game’s unique identity and thematic integrity.
Decoding AI: Your Questions Answered
What is Bias-Variance Tradeoff?
In machine learning, this refers to the dilemma faced while trying to simultaneously minimize two sources of error that prevent supervised learning algorithms from generalizing beyond their training set: bias, which is the error due to overly simplistic assumptions in the learning algorithm, and variance, which is the error due to too much complexity in the learning algorithm. Balancing these two errors is crucial for creating models that generalize well to new, unseen data.
Thanks for joining us for Edition #27 of The Hidden Layer. Curious about how AI impacts society or business? Your questions could shape our next edition.
Until next time,
Best,
The Hidden Layer Team
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