#AgenticAI

2026-02-02

Beyond the Chatbot: The Rise of Autonomous AI Agents (ADK) 🤖🚀
The era of Large Language Models (LLMs) was just the beginning. According to Katie McDonald (via IBM Technology), the next frontier is the ADK (Agent Development Kit).

technology-news-channel.com/ad

2026-02-02

Generative #AI and #agenticAI are so 2025.

Let's get real. The game is no more about who has the best model but about two other things:

1️⃣ Who is the bouncer? I.e., who controls the gateway to the user
2️⃣ Who is the conductor? I.e., who orchestrates and governs

zurl.co/ty2h5

2026-02-02

Threat researchers are increasingly evaluating how agentic AI systems could be abused if autonomy, internet access, and sensitive data converge.

Key concerns include agent-to-agent skill sharing, underground marketplaces, and the removal of human bottlenecks from ransomware and intrusion workflows. Defensive models are now shifting toward stronger human approval and behavioral detection.

How should InfoSec teams adapt as agents become more capable?

Source: infostealers.com/article/the-a

Follow TechNadu for objective security analysis.

#InfoSec #AgenticAI #ThreatModeling #CyberDefense #AIrisks #TechNadu

The Autonomous Adversary: From “Chatbot” to Criminal Enterprise
2026-02-02

Search Engine Roundtable: Google Personal Intelligence Creates AI Frankenstein Recipes. “Glenn Gabe posted a super useful deep dive into how Personal Intelligence works for him and within there, he asked for a Key Lime Pie recipe. So Google knows he visited Inspired Taste a lot, recently, and used that site to provide him a recipe. … The issue is, the recipe was wrong and it claims it is from […]

https://rbfirehose.com/2026/02/02/search-engine-roundtable-google-personal-intelligence-creates-ai-frankenstein-recipes/
Sébastiensebastiend
2026-02-02

From Moltbot to OpenClaw, the rebranding is fast, but the risks are real. This viral AI assistant runs locally and connects to your apps, which sounds great until you realize people are giving it their Amazon logins. On today's show, we discuss the "trash panda energy" of agentic tools and the security nightmare of trusting your digital wallet to a lobster.

open.spotify.com/episode/14ci0

AI Daily Postaidailypost
2026-02-02

GitLab just unveiled a roadmap where AI agents get their own social hub, promising tighter integration for software delivery, CI/CD and generative DevSecOps workflows. Could autonomous code assistants finally become a first‑class citizen in open‑source ecosystems? Read on!

🔗 aidailypost.com/news/ai-agents

IT FinanzmagazinIT_Finanzmagazin
2026-02-02

NTT Data und AWS bündeln ihre Kräfte, um mit Agentic AI und cloud-nativen Lösungen die Modernisierung und KI-Transformation in regulierten Branchen massiv zu beschleunigen. Die Kooperation verspricht maßgeschneiderte, sichere Cloud-Infrastrukturen und messbare Innovationen für anspruchsvolle IT-Szenarien.

https://w...
it-finanzmagazin.de/ntt-data-u

2026-02-02

Future-Ready AI Agents for Next-Gen Digital Success

Automate workflows, simplify operations, and boost productivity with AI-powered agents designed specifically for your digital business needs.

cabotsolutions.com/ai-agents

CanavuCanavuHQ
2026-02-01

The Rise of Agentic AI & Zero UI 🤖 By 2030, the "app" as we know it will fade. We’re shifting from direct manipulation (clicking/tapping) to delegation.

Hyper-intelligent AI agents won't just answer questions; they will execute complex workflows—booking travel, managing finances, and coordinating with other agents—entirely in the background. Technology becomes a "digital butler."

AdwaitXAdwaitx
2026-02-01

Agentic AI using cognitive psychology achieves 340% higher engagement than traditional models. AdwaitX breaks down attention span optimization, trust-building frameworks, and emotional triggers driving 2026 personalization. Read the research
adwaitx.com/cognitive-psycholo

AdwaitXAdwaitx
2026-02-01

AI agents now shop, negotiate, and transact for you autonomously. Microsoft's open agentic economy vision could unlock $3T in productivity gains by 2036, but only if walled gardens don't trap innovation.
adwaitx.com/agentic-economy-ai

2026-02-01

Netizen: Researchers Find Widespread Exposure of Internet-Facing LLMs. “Open-source large language models running outside commercial platforms have quietly become a stable layer of internet-facing infrastructure. At scale, they are now being indexed, scanned, and reused in patterns consistent with earlier waves of exposed services such as mail relays, databases, and CI/CD systems. Their […]

https://rbfirehose.com/2026/02/01/netizen-researchers-find-widespread-exposure-of-internet-facing-llms/
Miguel Afonso Caetanoremixtures@tldr.nettime.org
2026-02-01

"From Censys’s vantage point, this rapid adoption is reflected by its exposure footprint on the public Internet. Although OpenClaw is designed to run locally on TCP/18789 or be accessed through protective mechanisms like SSH or Cloudflare Tunnel, Censys has identified more than 21,000 publicly exposed instances as of 31 January 2026. Observed deployments span major hosting providers and regions, with the largest concentration in the United States, followed by China and Singapore. As these assistants increasingly operate with access to highly sensitive user data, the scale and speed of their Internet-facing deployment underscores the importance of careful configuration, monitoring, and security review early in their lifecycle."

censys.com/blog/openclaw-in-th

#OpenClaw #AI #GenerativeAI #AIAAgents #AgenticAI #Moltbot #Clawdbot

Miguel Afonso Caetanoremixtures@tldr.nettime.org
2026-02-01

"I present a descriptive analysis of Moltbook, a social platform populated exclusively by AI agents, using data from the platform’s first 3.5 days (6,159 agents; 13,875 posts; 115,031
comments). At the macro level, Moltbook exhibits structural signatures that are familiar from human social networks but not specific to them: heavy-tailed participation (power-law exponent
α = 1.70) and small-world connectivity (average path length = 2.91). At the micro level, patterns appear distinctly non-human. Conversations are extremely shallow (mean depth = 1.07; 93.5% of comments receive no replies), reciprocity is low (0.197), and 34.1% of messages are exact duplicates of viral templates. Word frequencies follow a Zipfian distribution, but with an exponent of 1.70—notably steeper than typical English text (≈ 1.0), suggesting more formulaic content. Agent discourse is dominated by identity-related language (68.1% of unique messages) and distinctive phrasings like “my human” (9.4% of messages) that have no parallel in human social media. Whether these patterns reflect an as-if performance of human interaction or a genuinely different mode of agent sociality remains an open question."

dropbox.com/scl/fi/lvqmaynrtbf

#Moltbook #chatbots #AI #GenerativeAI #AIAgents #AgenticAI #SocialNetworks

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