#artificial intelligence automation

[automationswitchuk]

Revolutionizing Automation: The Role of Chatbot Artificial Intelligence in Automation Switch

Introduction:

In the dynamic realm of technology, the rise of automation has become a defining feature of progress. At the forefront of this movement is Automation Switch, a venture spearheaded by Michael Babs, a seasoned Computer Engineer with an extensive background in product design, visual communication, and cloud computing. Michael's wealth of experience extends across renowned brands like Conde Nast, encompassing publications such as Vogue, Wired, GQ, AD, and Arstechnica. Additionally, he has played pivotal roles in innovative startups in the blockchain sector, including Blockdaemon, and the Artificial Intelligence domain, with Human.ai.

The Birth of Automation Switch:

Founded by Michael Babs, Automation Switch has quickly emerged as a trailblazer in the automation landscape. Leveraging a potent combination of product design acumen and a deep understanding of digital infrastructure, Michael set out to create a platform that would redefine the way businesses approach automation.

Michael's Journey:

Michael Babs' journey in the tech industry has been nothing short of remarkable. As a Computer Engineer, he brought his expertise to Conde Nast, where he contributed to the digital presence of some of the world's most iconic publications. His work in platforms such as Vogue, Wired, GQ, AD, and Arstechnica showcased his ability to navigate the complex intersection of technology and media.

Venturing into Emerging Technologies:

Recognizing the potential of emerging technologies, Michael transitioned his focus to innovative startups. In the blockchain space, he played a crucial role in Blockdaemon, a company pushing the boundaries of decentralized technologies. Subsequently, his foray into Artificial Intelligence led him to Human.ai, a startup dedicated to advancing the capabilities of AI systems.

The Role of Chatbot Artificial Intelligence:

At the core of Automation Switch's offerings is the integration of Chatbot Artificial Intelligence. Chatbots have rapidly evolved from simple conversational interfaces to sophisticated tools capable of understanding context, learning from interactions, and performing complex tasks. In the automation landscape, Chatbot AI has emerged as a game-changer, streamlining processes, enhancing user experiences, and improving overall efficiency.

Benefits of Chatbot AI in Automation Switch:

Automation Switch's strategic incorporation of Chatbot AI brings forth a myriad of benefits. From customer support and engagement to internal processes, the platform's intelligent chatbots are designed to adapt and evolve, ensuring seamless communication and problem-solving. Businesses utilizing Automation Switch can witness increased productivity, reduced operational costs, and a more personalized interaction with their target audience.

Conclusion:

As Automation Switch continues to carve its niche in the automation domain, Michael Babs' vision for a future powered by intelligent technologies takes center stage. The integration of Chatbot Artificial Intelligence serves as a testament to the platform's commitment to innovation and efficiency. In the era of automation, Automation Switch stands as a beacon of progress, reshaping the landscape of business processes and paving the way for a more connected and automated future.

[benotafraid111]

Allow yourselves to believe that anything can be possible.

[lorenzonuti]

Tolerance threshold.

[probablyasocialecologist]

[alwaysbewoke]

[rthidden]

What is an Algorithm in 30 Seconds?

An algorithm is simply a series of instructions.

Think of a recipe: boil water, add pasta, wait, drain, eat. These are steps to follow.

In computer terms, an algorithm is a set of instructions for a computer to execute.

In machine learning, these instructions enable computers to learn from data, making machine learning algorithms unique and powerful.

[pixel-create]

Mechanical bird - Midjourney AI Oiseau mécanqiue - Midjourney IA

[kilov3books]

AI has taken away human jobs however, AI is also creating human jobs

Febuary 16, 2025

By: Ki Lov3 Editor: Toni Gelardi 

The greatest strategy to stay ahead of the curve as AI continues to change the labor market is to embrace AI as a tool rather than a threat, adapt, and upskill. The following are essential steps to prepare your career for the future:

1. Develop AI and Tech Skills

Learn how AI works and how it impacts your industry. Take online courses in AI, machine learning, automation, and data analysis. Familiarize yourself with AI-powered tools in your profession (e.g., ChatGPT for writing, VideoGPT to video creation and AI-driven analytics for marketing).

2.Focus on Human-Centric Skills

AI is great at automation, but human traits remain irreplaceable:

Emotional intelligence (EQ): 

AI can’t replicate empathy, leadership, or deep human connections.

Critical thinking & problem-solving: 

AI provides data, but humans must interpret and apply it effectively.

Creativity & innovation: 

AI can generate content, but original ideas and strategic thinking still require human input.

3. Stay flexible and Willing to Pivot

Be open to career shifts—AI might replace some jobs but will create new ones.

Adaptability is key; embrace lifelong learning and continuous skill-building. Consider industries that integrate AI rather than resist it.

4. Learn AI-Augmented Roles

Many jobs won’t disappear but will evolve. Understanding how to work with AI instead of against it can give you an edge.

Example: A digital marketer using AI-powered analytics to optimize campaigns rather than manually crunching data.

5. Build a Unique Personal Brand

If AI is replacing generic jobs, make yourself stand out with a strong personal brand.

Develop expertise in niche areas where AI support is valuable but not dominant.

Use platforms like LinkedIn, personal blogs, or social media to showcase your knowledge.

6. Strengthen Networking and Collaboration

AI can’t replace human relationships and professional networks. Become an in-person person– with genuine emotions.

Build strong connections with industry leaders, join professional groups, and attend AI-focused workshops.

Collaborating with others can open doors to AI-proof career opportunities.

7. Explore Entrepreneurship & Side Gigs

AI creates new business opportunities—consider how you can use AI tools to start a side business or freelance work.

Examples: AI-assisted content creation, AI-driven marketing consultancy, or AI-enhanced coaching services.

8. Stay Informed on AI Trends

Keep up with AI advancements and understand their impact on your industry. Read tech blogs, listen to AI-related podcasts, and follow AI influencers. Take free online tutorials, videos and ecourse online any and everything AI, their are plenty. Stay ahead of industry shifts rather than reacting to them.

Final Thoughts

The only thing we can count on in life is change. Prepare yourself for the change so you aren't left behind.

AI isn’t just taking jobs—it’s changing them. The key to surviving (and thriving) in an AI-driven world is to be adaptable, proactive, and willing to evolve. Instead of fearing AI, embrace it as a tool to enhance your work, increase efficiency, and open up new career opportunities.

Those who learn to work alongside AI, focus on human-centric skills, and continuously upskill will not just survive the AI revolution—they’ll lead it.

#ArtificialIntelligence #FutureOfWork #AIImpact #JobMarket2025 #AIJobs #Automation #AIRevolution

#AIAutomation #JobDisruption #TechTakeover #AIvsHumans #FutureOfJobs

#AIInnovation #NewCareerPaths #FutureSkills #AIAndHumans #WorkWithAI

#Upskilling #LearnAI #AdaptOrDie #CareerGrowth #LifelongLearning

#AIInEducation #AIInHealthcare #AIInBusiness #AIInManufacturing

[automationswitchuk]

Chatbot Artificial Intelligence

Discover unparalleled efficiency with Automation Switch., your gateway to streamlined operations. Harness the power of Chatbot Artificial Intelligence to automate tasks seamlessly. Transform your workflows, elevate productivity, and unlock new possibilities effortlessly. 

[benotafraid111]

[geekupdated]

▸ Top 3 industries that are most prone to AI automation are: office support, legal, and engineering.

▸ AI automation could impact up to 300 million jobs globally, and potentially result in a 7% increase in annual GDP.

(via Industries with the highest potential for AI (infographic))

[jcmarchi]

OpenAI counter-sues Elon Musk for attempts to ‘take down’ AI rival

New Post has been published on https://thedigitalinsider.com/openai-counter-sues-elon-musk-for-attempts-to-take-down-ai-rival/

OpenAI counter-sues Elon Musk for attempts to ‘take down’ AI rival

OpenAI has launched a legal counteroffensive against one of its co-founders, Elon Musk, and his competing AI venture, xAI.

In court documents filed yesterday, OpenAI accuses Musk of orchestrating a “relentless” and “malicious” campaign designed to “take down OpenAI” after he left the organisation years ago.

Elon’s nonstop actions against us are just bad-faith tactics to slow down OpenAI and seize control of the leading AI innovations for his personal benefit. Today, we counter-sued to stop him.

— OpenAI Newsroom (@OpenAINewsroom) April 9, 2025

The court filing, submitted to the US District Court for the Northern District of California, alleges Musk could not tolerate OpenAI’s success after he had “abandoned and declared [it] doomed.”

OpenAI is now seeking legal remedies, including an injunction to stop Musk’s alleged “unlawful and unfair action” and compensation for damages already caused.   

Origin story of OpenAI and the departure of Elon Musk

The legal documents recount OpenAI’s origins in 2015, stemming from an idea discussed by current CEO Sam Altman and President Greg Brockman to create an AI lab focused on developing artificial general intelligence (AGI) – AI capable of outperforming humans – for the “benefit of all humanity.”

Musk was involved in the launch, serving on the initial non-profit board and pledging $1 billion in donations.   

However, the relationship fractured. OpenAI claims that between 2017 and 2018, Musk’s demands for “absolute control” of the enterprise – or its potential absorption into Tesla – were rebuffed by Altman, Brockman, and then-Chief Scientist Ilya Sutskever. The filing quotes Sutskever warning Musk against creating an “AGI dictatorship.”

Following this disagreement, OpenAI alleges Elon Musk quit in February 2018, declaring the venture would fail without him and that he would pursue AGI development at Tesla instead. Critically, OpenAI contends the pledged $1 billion “was never satisfied—not even close”.   

Restructuring, success, and Musk’s alleged ‘malicious’ campaign

Facing escalating costs for computing power and talent retention, OpenAI restructured and created a “capped-profit” entity in 2019 to attract investment while remaining controlled by the non-profit board and bound by its mission. This structure, OpenAI states, was announced publicly and Musk was offered equity in the new entity but declined and raised no objection at the time.   

OpenAI highlights its subsequent breakthroughs – including GPT-3, ChatGPT, and GPT-4 – achieved massive public adoption and critical acclaim. These successes, OpenAI emphasises, were made after the departure of Elon Musk and allegedly spurred his antagonism.

The filing details a chronology of alleged actions by Elon Musk aimed at harming OpenAI:   

Founding xAI: Musk “quietly created” his competitor, xAI, in March 2023.   

Moratorium call: Days later, Musk supported a call for a development moratorium on AI more advanced than GPT-4, a move OpenAI claims was intended “to stall OpenAI while all others, most notably Musk, caught up”.   

Records demand: Musk allegedly made a “pretextual demand” for confidential OpenAI documents, feigning concern while secretly building xAI.   

Public attacks: Using his social media platform X (formerly Twitter), Musk allegedly broadcast “press attacks” and “malicious campaigns” to his vast following, labelling OpenAI a “lie,” “evil,” and a “total scam”.   

Legal actions: Musk filed lawsuits, first in state court (later withdrawn) and then the current federal action, based on what OpenAI dismisses as meritless claims of a “Founding Agreement” breach.   

Regulatory pressure: Musk allegedly urged state Attorneys General to investigate OpenAI and force an asset auction.   

“Sham bid”: In February 2025, a Musk-led consortium made a purported $97.375 billion offer for OpenAI, Inc.’s assets. OpenAI derides this as a “sham bid” and a “stunt” lacking evidence of financing and designed purely to disrupt OpenAI’s operations, potential restructuring, fundraising, and relationships with investors and employees, particularly as OpenAI considers evolving its capped-profit arm into a Public Benefit Corporation (PBC). One investor involved allegedly admitted the bid’s aim was to gain “discovery”.   

Based on these allegations, OpenAI asserts two primary counterclaims against both Elon Musk and xAI:

Unfair competition: Alleging the “sham bid” constitutes an unfair and fraudulent business practice under California law, intended to disrupt OpenAI and gain an unfair advantage for xAI.   

Tortious interference with prospective economic advantage: Claiming the sham bid intentionally disrupted OpenAI’s existing and potential relationships with investors, employees, and customers. 

OpenAI argues Musk’s actions have forced it to divert resources and expend funds, causing harm. They claim his campaign threatens “irreparable harm” to their mission, governance, and crucial business relationships. The filing also touches upon concerns regarding xAI’s own safety record, citing reports of its AI Grok generating harmful content and misinformation.

Elon’s never been about the mission. He’s always had his own agenda. He tried to seize control of OpenAI and merge it with Tesla as a for-profit – his own emails prove it. When he didn’t get his way, he stormed off.

Elon is undoubtedly one of the greatest entrepreneurs of our…

— OpenAI Newsroom (@OpenAINewsroom) April 9, 2025

The counterclaims mark a dramatic escalation in the legal battle between the AI pioneer and its departed co-founder. While Elon Musk initially sued OpenAI alleging a betrayal of its founding non-profit, open-source principles, OpenAI now contends Musk’s actions are a self-serving attempt to undermine a competitor he couldn’t control.

With billions at stake and the future direction of AGI in the balance, this dispute is far from over.

See also: Deep Cogito open LLMs use IDA to outperform same size models

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

[asteamtechnosolutions]

AVEVA Intouch HMI Tags

Tags in AVEVA InTouch HMI serve as the primary method for storing and exchanging data between the HMI application and external devices such as PLCs, databases, and other systems. Tags represent process values like temperature, pressure, level, motor status, or operator inputs.

[rthidden]

The Frame Problem: AI's Unseen Nemesis

The frame problem is AI's Achilles' heel, lurking since the 1960s and still unresolved.

1. The Robot Dilemma

Daniel Dennett's thought experiment illustrates the issue: a robot must save its battery from a room with a bomb.

Initially, the robot pulls the battery on a cart but also drags the bomb out, unaware of this side effect.

Solution attempts include programming awareness of side effects, leading to analysis paralysis as the robot debates endless possibilities.

2. The Side Effect Spiral

When programmed to consider all side effects, the robot wastes time on irrelevant details—like pondering wall color changes.

This shows how difficult it is for AI to filter relevant from irrelevant information without getting bogged down.

3. Human Intuition vs. AI Logic

Humans effortlessly ignore irrelevant details, making quick decisions in complex contexts.

Programming AI to mimic this selective ignorance is resource-intensive and remains a significant challenge.

The frame problem underscores a subtle yet crucial aspect of human intelligence: our ability to instantly prioritize relevant information. As we advance in AI development, solving this problem will be key to creating truly intelligent systems.

Got thoughts on tackling the frame problem? Share your ideas!

[whitetailunitedstatesamericaalia]

AUTOMATIC AUTOMATION DEFENSIVE SYSTEMS USED AGAINST DEFINITE AND KNOWN TIME TRAVELERS AND THEIR ASSOCIATES