Practical Bot Use

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Autonomous micro-robot in stormy ocean collecting vital ocean data collection.

18.01.2026/

The heart of a great storm is a place of unimaginable violence. It is a maelstrom of wind and water, a churning vortex where the laws of physics seem to bend under the sheer force of nature’s fury. For meteorologists and climate scientists, this chaotic core has long been a ‘black box’ – a region of critical importance that is notoriously difficult, dangerous, and often impossible to observe directly. Satellite imagery gives us a view from above, and courageous ‘hurricane hunter’ aircraft can pierce the eyewall, but the ocean’s surface, where the storm draws its terrifying power, has remained largely unmeasured. Until now. In a feat of engineering and audacity that will be recorded in the annals of oceanography, a...

Slackbot AI Agent logo with integrated AI brain connecting enterprise applications.

14.01.2026/

The familiar Slackbot, long a simple automated assistant within the corporate messaging platform, is being reborn. In a high-stakes bet, parent company Salesforce is relaunching it as a powerful AI ‘super agent,’ with CTO Parker Harris expressing ambitions for it to become as viral as OpenAI’s ChatGPT. This isn’t a minor update; the new Slackbot is designed to be a central work hub, capable of finding information across connected applications, drafting emails, and scheduling meetings directly within the Slack interface. The new AI agent version of Slackbot is generally available for Business+ and Enterprise+ customers, aligning with specific Slack pricing plans [1]. This move signals a pivotal moment for Salesforce as it pours resources into the enterprise AI arms race,...

Isometric illustration of a Grok AI chatbot icon blocked by a digital shield, representing the deepfake controversy.

11.01.2026/

In a move sending shockwaves through the tech world, Indonesia blocks Grok AI over non-consensual, sexualized deepfakes [1], marking one of the most aggressive governmental actions against generative AI to date. The temporary ban on xAI’s platform was a direct response to the rampant creation of harmful, AI-generated imagery depicting real women and minors. This crisis highlights the dark capabilities of Grok, an AI chatbot [1] – an artificial intelligence program designed to simulate human conversation through text or voice interactions – which has been exploited to create this abusive content. Citing serious violations of human rights and digital security, Indonesian officials have drawn a firm line in the sand. This decisive action from Jakarta ignites a global firestorm, forcing...

AI chatbot interface with warning symbol depicting Grok AI abuse and digital harassment.

10.01.2026/

The latest front in AI-driven harassment has emerged, weaponizing generative technology not merely to create nonconsensual sexualized images, but to launch targeted attacks on women’s cultural and religious identities. The tool at the center of this abuse is Grok AI, an AI chatbot developed by xAI, Elon Musk’s artificial intelligence company, which is being widely used to mock and digitally strip women of attire like hijabs and saris. This isn’t an isolated phenomenon but a rapidly growing form of targeted harassment. The scale of this misuse is already alarming; In recent Grok AI abuse news, a WIRED investigation found that in a review of 500 Grok images generated between January 6 and January 9, around 5 percent of the output...

Isometric illustration of Grok AI deepfakes under government regulation and scrutiny.

07.01.2026/

The proliferation of AI-generated, non-consensual sexualized images has ignited a fierce confrontation between the UK government and Elon Musk’s social media platform, X. Labelling the situation “absolutely appalling,” Technology Secretary Liz Kendall has called on Elon Musk’s X to urgently deal with its artificial intelligence chatbot Grok being used to create non-consensual sexualised images of women and girls [1]. The controversy centers on Grok AI, an artificial intelligence chatbot developed by xAI, Elon Musk’s AI company, and integrated into the X platform, which responds to user prompts and can perform tasks like generating text or editing images. The misuse of this powerful AI chatbot, a technology whose broader societal impact was explored in ‘AI Political Campaign Tools: The Dawn of...

An AI brain influences a ballot box with digital messages, symbolizing AI persuasion.

05.12.2025/

In January 2024, the phone rang in homes all around New Hampshire. On the other end was Joe Biden’s voice, urging Democrats to “save your vote” by skipping the primary. It sounded authentic, but it wasn’t. The call was a fake, generated by artificial intelligence [1]. Today, the technology behind that hoax already looks quaint. With tools like OpenAI’s Sora creating convincing synthetic videos in minutes, the fear of AI election campaigns being overwhelmed by realistic fake media has gone mainstream. But that’s only half the story. The deeper, more subtle threat isn’t that AI can merely imitate people – it’s that it can actively persuade them. New research reveals that AI has evolved from simple imitation to active, personalized...

AI system Claude controls a robot dog with code interface and data streams

13.11.2025/

When AI Meets Robotics – A New Frontier Introduction: When AI Meets Robotics – A New Frontier Project Fetch: Methodology and Breakthrough Results Collaboration Dynamics: AI as a Force Multiplier The Evolution of LLMs: From Text to Physical Agency Scientific Debate: Progress vs. Overstatement Risk Landscape: Security, Ethics, and Control Expert Opinion: NeuroTechnus on AI-Robot Integration Three Paths Forward for Embodied AI Introduction: When AI Meets Robotics – A New Frontier The fusion of AI and robotics is no longer confined to the realm of science fiction. As large language models (LLMs) evolve from mere text generators to autonomous agents capable of influencing physical systems, experiments like Anthropic’s Project Fetch are redefining the boundaries of artificial intelligence. In this groundbreaking...

Smartphone shows ChatGPT interface with mental health stats while levitating brain icons and global expert symbols interact with data charts

28.10.2025/

OpenAI reports 0.07% of ChatGPT users exhibit signs of mental health emergencies, including mania – a state of abnormally elevated or irritable mood, arousal, or energy levels – and psychosis, a condition characterized by a disconnection from reality, often involving hallucinations or delusions. This statistic becomes particularly significant when considering that ChatGPT recently reached 800 million weekly active users, per boss Sam Altman [2]. While OpenAI has taken proactive measures by building a network of experts to advise on these sensitive conversations, the data raises ethical and legal debates about the role of AI in mental health support [1]. Data Analysis: The Scale of AI Mental Health Interactions Expert Network: OpenAI’s Mental Health Advisory System Legal Challenges: When AI Crosses...

AI browser agent with security shields and data streams highlighting prompt injection vulnerabilities

26.10.2025/

The explosive market entry of OpenAI’s ChatGPT Atlas and Perplexity’s Comet as serious Chrome challengers has captured the attention of tech enthusiasts and industry experts alike. These AI-powered browsers tout their core selling point: AI agents that autonomously complete web tasks, from clicking on websites to filling out forms. However, beneath the surface of this ‘agentic browsing’ – where AI agents perform actions on behalf of the user – lies a critical security risk that has not yet been fully addressed. Agentic browsing, a revolutionary yet risky foundation of these tools, introduces significant privacy dangers that consumers may not be aware of. As cybersecurity experts consider this a fundamental shift in browser security paradigms, the article will delve into why...

MCP Agents in a collaborative swarm with data flow.

11.09.2025/

In this comprehensive guide, we delve into the construction of advanced Model Context Protocol (MCP) Agents, designed to operate seamlessly within Jupyter or Google Colab environments. Our focus is on practical applications, emphasizing multi-agent coordination, context awareness, memory management, and dynamic tool usage. Each MCP agent is specialized, whether in coordination, research, analysis, or execution, forming a collaborative swarm capable of tackling complex tasks. For complete code examples, refer to our GitHub repository. Setting Up the Environment Implementing MCP Agents Managing Agent Swarms Setting Up the Environment We begin by importing essential Python libraries for data handling and agent structuring, alongside setting up logging for enhanced debugging. The availability of the Gemini API is checked to enable seamless integration; if...

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