Core Insights - The event INSIDE Future Day 2025 will take place on December 9, 2025, in Taipei, focusing on emerging trends in technology and innovation, particularly in AI collaboration [1][2] - The theme "Next-Gen AI Agents: Building a New Era of Human-AI Collaboration" highlights the transformative impact of AI across various sectors [1][3] - The event aims to attract over 700 attendees, including key figures from the tech industry, to discuss AI's role in redefining enterprise operations [5][8] Event Details - INSIDE Future Day is organized by the Company's technology media brand INSIDE and has been a significant technology event since 2019 [2] - The event will feature speakers such as Andrew Mayne from OpenAI and Lee-Feng Chien, former Managing Director of Google Taiwan [4][5] - The venue for the event is Howard Civil Service International House in Taiwan [8] Focus Areas - Discussions will cover the entire AI ecosystem, including foundational technologies, cloud platforms, and enterprise applications [3] - The event will debut the "AI Agent Industry White Paper," providing a practical blueprint for AI adoption tailored for enterprises [5] - The emphasis will be on education, addressing the urgent market demand for guidance on AI implementation and best practices [5][6] Industry Impact - AI Agents are recognized as a game-changer in human-computer interaction, enhancing efficiency and productivity across various business areas [6][7] - The event aims to serve as a knowledge hub for technology leaders in Taiwan, facilitating the sharing of actionable strategies and trends [7]

Eliza Labs Founder on Why AI Agents Shouldn’t Manage Your Money—Yet► https://t.co/1mqCeiXxCu https://t.co/1mqCeiXxCu ...

Core Insights - GoDaddy is launching a trusted identity naming system for AI agents to address the challenge of distinguishing legitimate agents from unvetted or malicious ones as the number of AI agents is expected to exceed one billion in the next three years [1][2] - The new system is based on proven technologies and protocols, leveraging GoDaddy's extensive experience in internet safety, including domain names and SSL certificates [1][2] - The initiative aims to create a secure environment for agent-to-agent interactions, drawing parallels to the early internet's "Wild West" [1] Technical Details - The service utilizes a modular adapter layer that works across protocols and is inspired by an Internet Engineering Task Force (IETF) draft for an Agent Name Service (ANS) [2][3] - Each enrolled agent will receive a report verifying its identity, confirming good standing, and specifying its location, ensuring standards-aligned and ecosystem-ready solutions [2][3] - The system includes features such as lifecycle management for registration, renewal, and revocation, enhancing security and governance for production deployments [3] Availability and Collaboration - A developer preview of the system is set to launch in the coming weeks, with broader availability to follow [2] - GoDaddy is collaborating with standards bodies and industry partners to ensure broad participation and seamless interoperability in the development of this system [2]

AI Agent Development - Anthropic Engineering Blog introduces "context engineering" for maximizing AI agent performance, going beyond traditional prompt engineering [1] - The blog post explains how context engineering works [1]

The next wave of consumer apps is here: AI agents competing, humans predicting.Powered by the full Sui stack - Talus is showing exactly why building on Sui unlocks experiences no other chain can match.We're excited to be a part of this.Talus Labs (@Talus_Labs):1/5 BREAKING:Talus has raised over $10M with an investment from @SuiFoundation & @WalrusProtocol, alongside lead investor @Polychain to pioneer a new category: PredictionAI.We're building the premier infra for AI Agents while fusing AI & Prediction Ma ...

Funding & Investment - Talus Labs raised over $10 million [1] - Investors include Sui Foundation, Walrus Protocol, and Polychain [1] Technology & Innovation - Building infrastructure for AI Agents [1][2] - Fusing AI and Prediction Markets [1][2] - Pioneering a new category: PredictionAI [1] Market Focus - Focus on the intersection of AI and Prediction Markets [1] - Aiming to bring AvA markets to life [1]

Now we are on the topic of DeAI and AI Agents, here’s this weeks roundup to get you up to speed:s4mmy (@S4mmyEth):https://t.co/lE0LBr5qiA ...

Core Insights - GPTBots.ai, the enterprise AI platform of Aurora Mobile, co-hosted a thematic course titled "AI Agents Drive Intelligent Transformation" with the Hong Kong Productivity Council, focusing on the practical applications of AI Agents in business scenarios [1][5][14] - The event aimed to provide Hong Kong enterprises with actionable strategies to overcome transformation challenges and embrace AI innovation, contributing to the growth of the digital economy in Hong Kong [3][12] Company Overview - GPTBots.ai serves over 60,000 enterprises and developers globally, offering a suite of capabilities including multi-model integration, no-code agent building, and enterprise-grade security [13] - The platform emphasizes low barriers to entry and adaptability, enabling enterprises to integrate AI into core business processes effectively [5][7] Event Highlights - Keynote addresses included insights from Tommy Lui, Chief Business Officer of GPTBots, and Jerry Yin, Vice President of Aurora Mobile, discussing the evolution of AI Agents and the platform's architecture [5][7] - The event featured live demonstrations showcasing the practical implementation of AI Agents in various sectors, including finance, healthcare, and retail, highlighting their role in optimizing customer service and operational efficiency [9][12] Future Commitment - GPTBots plans to continue its collaboration with HKPC to develop further training programs aimed at empowering more Hong Kong enterprises in their journey towards intelligent transformation [14]

The ultimate Full-stack AI Engineering roadmap to go from 0 to 100.This is the exact mapped-out path on what it actually takes to go from Beginner → Full-Stack AI Engineer.> Start with Coding Fundamentals.> Learn Python, Bash, Git, and testing.> Every strong AI engineer starts with fundamentals.> Learn how to interact with models by understanding LLM APIs.> This will teach you structured outputs, caching, system prompts, etc.> APIs are great, but raw LLMs still need the latest info to be effective.> Learn h ...

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