#next-gen AI software

[entrepreneurial1era]

Agentic AI: The Rise of Autonomous Digital Assistants

How Smart Autonomous Agents Are Redefining the Human-AI Relationship

Introduction: A New Era in Artificial Intelligence

Artificial Intelligence (AI) is no longer a distant concept confined to sci-fi novels or the realm of elite researchers. Today, AI is seamlessly woven into our daily lives powering voice assistants like Siri, recommending content on Netflix, detecting fraud in banking systems, and even helping doctors diagnose illnesses faster and more accurately.

But we are now entering a transformative phase in the evolution of AI, one that promises not just efficiency but autonomy, adaptability, and even decision-making capability. At the forefront of this evolution is a new class of systems known as Agentic AI, often referred to as Autonomous Digital Assistants or AI agents.

These next-generation AI systems are not limited to pre-defined scripts or simple automation. Instead, they exhibit goal-oriented behavior, can take independent actions, adapt to feedback, and operate across multiple platforms to complete complex tasks. From managing business operations to coding, designing, researching, and even negotiating, Agentic AI is set to redefine how we work, live, and think.

Why Does This Matter Now?

The rise of Agentic AI is fueled by the rapid advancement of machine learning, natural language processing (NLP), and neural networks. Leading AI models like GPT-4, Claude, and Gemini by Google are already demonstrating capabilities that blur the line between tool and collaborator.

These AI agents aren’t just passive responders they can:

Analyze and interpret vast amounts of real-time data

Make decisions based on defined objectives

Learn from interaction and optimize over time

Perform multi-step tasks autonomously across platforms 

In practical terms, this means we could soon delegate entire workflows from scheduling meetings and writing reports to launching marketing campaigns and conducting customer service to intelligent digital assistants.

A Glimpse Into the Future

Imagine a virtual business partner who not only helps you stay organized but also negotiates contracts, optimizes your website SEO, handles email outreach, and reports performance metrics all without your daily input. This is no longer fiction thanks to innovations in agentic architectures like Auto-GPT, BabyAGI, and tools being developed by OpenAI, this reality is quickly becoming mainstream.

What This Means for You

Whether you're a startup founder, corporate executive, creative freelancer, or student, the rise of Agentic AI signals a massive shift in digital productivity and human-AI collaboration. Understanding how these systems work, their limitations, and their ethical implications will be essential in the coming years.

Stay tuned as we explore how Agentic AI is shaping the future of:

Work and productivity

Entrepreneurship

Customer experience

Education and learning

Human decision-making

Want to stay ahead of the AI curve? Subscribe to Entrepreneurial Era Magazine to get weekly insights on AI-driven innovation, business strategies, and the tools reshaping our world.

What Is Agentic AI?

Agentic AI refers to a new class of artificial intelligence systems that act as autonomous digital agents capable of independently executing tasks, making decisions, and learning from outcomes without constant human oversight. These systems are a significant evolution beyond traditional AI tools like Siri, Alexa, or Google Assistant, which require direct prompts for every action.

Key Concept: Agentic AI possesses "agency" the ability to act on its own in pursuit of a defined goal.

How Agentic AI Works

Unlike rule-based or reactive systems, Agentic AIs:

Plan and prioritize tasks using large language models (LLMs) and advanced reasoning algorithms

Initiate actions proactively based on changing input or context

Monitor and optimize ongoing processes without manual triggers

Adapt to feedback through reinforcement learning or user corrections

Collaborate across systems to accomplish multi-step workflows

This autonomy is what distinguishes Agentic AI from traditional AI. While older systems wait for commands, agentic models can determine “what to do next”, often in real-time.

Real-World Examples of Agentic AI

Here are some powerful tools and frameworks already showcasing the power of Agentic AI:

Auto-GPT: An experimental open-source project that chains GPT-4 calls together to autonomously complete tasks

BabyAGI: A lightweight AI agent that uses a task management loop to accomplish goals

OpenAI’s GPT Agents: Part of OpenAI's Assistant API, these agents can execute code, manage files, and use external tools

Meta’s LLaMA Agents: An open-source effort pushing the boundaries of multi-agent collaboration

From Tools to Teammates

The fundamental shift with agentic systems is that AI is no longer just a tool it becomes a collaborator. These agents can:

Work independently in the background

Schedule and send emails based on intent

Analyze and summarize reports

Interact with APIs and databases

Monitor key metrics and trigger actions based on thresholds 

This shift has vast implications for entrepreneurs, marketers, developers, and enterprise teams, making work faster, smarter, and more human-centric.

Why It Matters

As businesses increasingly adopt automation and AI-driven workflows, the value of Agentic AI lies in:

Scalability: They handle thousands of micro-tasks in parallel

Productivity: Human teams are freed up for creative and strategic work

Cost-efficiency: Tasks traditionally requiring manual labor can be automated

Consistency: No missed follow-ups or human fatigue 

The rise of agentic systems also aligns with major trends in autonomous agents, self-learning AI, and multi-modal interaction the future of digital workspaces.

Learn more about the difference between Generative AI and Agentic AI from Stanford HAI and how it's expected to shape productivity in the next decade.

The Technological Leap Behind Agentic AI

The rise of Agentic AI is not a coincidence, it's the result of rapid advances in multiple fields of artificial intelligence and computing. These systems are driven by a convergence of technologies that allow machines to think, act, and evolve much like human collaborators.

1. Large Language Models (LLMs)

The foundation of agentic AI lies in powerful large language models like OpenAI’s GPT-4, Anthropic’s Claude, and Google’s Gemini. These models can:

Understand complex instructions

Generate human-like text

Analyze unstructured data

Hold multi-turn conversations with contextual awareness 

LLMs give agents the language understanding and generation power to reason and communicate independently.

2. Reinforcement Learning and Agentic Planning

Reinforcement learning techniques like RLHF (Reinforcement Learning from Human Feedback) and goal-based optimization equip agentic systems with the ability to:

Set internal objectives

Learn from trial and error

Optimize decision-making over time 

This makes agents smarter with each interaction, similar to how humans learn through experience.

3. Memory & Long-Term Context

Unlike traditional AI that operates in isolated prompts, agentic systems use memory modules to:

Track goals and user preferences

Recall past conversations and actions

Build on previous outcomes to refine future performance 

For example, tools like LangChain and AutoGPT include memory systems that make agents feel persistent and context-aware, bridging the gap between sessions.

4. APIs and System Integration

Thanks to seamless integration with APIs, webhooks, and automation platforms, Agentic AI can:

Schedule meetings (e.g., via Calendly)

Send emails through Gmail or Outlook

Pull data from CRMs like HubSpot

Update spreadsheets or dashboards

This connectivity turns AI agents into autonomous digital workers embedded across tools and platforms you already use.

5. Multi-Modal Data Understanding

New-generation agents are not limited to text. With multi-modal capabilities, they can process:

Images (object recognition, design feedback)

Audio (voice commands, transcription)

Video (gesture recognition, editing suggestions)

Code (debugging, deployment assistance)

Projects like OpenAI's GPT-4o and Google’s Gemini 1.5 are pushing the boundaries here, enabling agents to perceive and act across sensory input channels.

Continuous Learning & Evolution

Perhaps the most transformative leap is how agentic AIs grow over time. They:

Track long-term goals

Adjust their strategies

Learn from failed outcomes

Reuse patterns that work 

This adaptive behavior, fueled by feedback loops and self-correction, mirrors key traits of human cognition making agentic systems more than tools; they become intelligent teammates.

Use Cases of Agentic AI: Beyond Virtual Assistants

Agentic AI is quickly becoming one of the most transformative tools in both consumer and enterprise landscapes. These AI-powered digital agents go far beyond simple voice commands or chatbot interactions; they're redefining how work gets done across sectors. From automating business operations to revolutionizing healthcare and education, Agentic AI applications are unlocking efficiency, creativity, and personalization at scale.

Business & Marketing: The Next-Gen Workforce

In the business world, agentic AI is functioning as a full-stack digital worker. These intelligent agents can:

Automate CRM tasks by managing leads, sending follow-up emails, and updating pipelines in tools like HubSpot or Salesforce.

Draft personalized marketing content for emails, blogs, or ad campaigns using platforms like Jasper AI or Copy.ai.

Schedule and coordinate meetings across time zones by integrating with calendars and apps like Calendly.

Conduct competitive analysis and summarize market trends in real time, giving businesses a strategic edge.

Software Development: AI That Codes & Maintains

For developers, agentic AI acts as a proactive coding partner. It can:

Debug errors autonomously using tools like GitHub Copilot.

Generate new features based on project specs and user feedback.

Run performance tests, monitor infrastructure health, and auto-scale cloud resources.

Agents can even integrate into CI/CD pipelines to push updates and manage deployment cycles without human intervention.

Education: Personalized, Self-Updating Tutors

In the realm of education, agentic AI is redefining personalized learning. These digital tutors can:

Adapt to a student’s pace and learning style using real-time analytics.

Assign dynamic exercises that reinforce weak areas.

Grade assignments, provide feedback, and curate study materials aligned to the curriculum.

Help teachers reduce administrative load while increasing student engagement.

Explore how Khanmigo by Khan Academy is already pioneering this approach using GPT-based tutoring agents.

Healthcare: Real-Time Patient Support

In healthcare, agentic AI offers solutions that improve both efficiency and patient outcomes:

Triage symptoms and suggest next steps based on input and health records.

Automate follow-up scheduling and prescription reminders.

Monitor vital metrics and send alerts for potential risks in chronic care patients.

Agents can act as digital nurses, assisting medical professionals with real-time insights while improving access for patients especially in underserved areas. Check out how Mayo Clinic is exploring AI-driven care pathways using autonomous agents.

Creative Industries: Empowering Human Imagination

Agentic AI is also reshaping the creative world, helping artists, writers, designers, and marketers create faster and smarter. These tools can:

Draft blog posts, scripts, or story outlines for content creators.

Generate visual ideas or even full designs using tools like Adobe Firefly.

Offer real-time editing suggestions, freeing up time for deeper storytelling or branding work.

Create music, edit videos, or write code snippets for creative tech solutions.

This fusion of human creativity and AI support leads to faster production cycles and higher-quality output.

From Assistance to Collaboration

One of the most profound shifts that agentic AI brings is the transition from tool to teammate. Where older AI models acted like sophisticated calculators or search engines, the new generation behaves more like colleagues who understand context, maintain continuity, and offer proactive input. These agents don’t just wait for tasks, they suggest them. They don’t merely execute, they optimize and innovate.

This changes the human-machine relationship fundamentally. It opens the door to collaborative intelligence, where humans provide vision and judgment, while AI agents handle execution and refinement. The result is a synergistic model where productivity, creativity, and efficiency are amplified.

Challenges and Ethical Considerations

Despite its potential, the rise of agentic AI raises important ethical and operational questions. Trust becomes a central issue. How do we ensure that autonomous systems make decisions aligned with human values? Who is accountable when an AI agent makes a costly mistake? As these agents become more autonomous, there is a pressing need for transparency, auditability, and control mechanisms to prevent unintended consequences.

There’s also the risk of over-dependence. If individuals and organizations begin to rely too heavily on agentic AI, critical thinking and hands-on skills may decline. Furthermore, job displacement in certain roles is inevitable, which necessitates rethinking how education and workforce development can evolve alongside AI.

Privacy is another concern. Autonomous assistants often require access to sensitive data emails, calendars, and financial records to function effectively. Ensuring that this data is used ethically and securely is paramount. Regulation, informed design, and public awareness must evolve in step with these technologies.

The Future: Where Do We Go From Here?

Agentic AI is still in its early stages, but the trajectory is clear. As models become more capable and integration becomes seamless, these digital agents will increasingly handle complex workflows with minimal oversight. The near future could see agents managing entire departments, running online businesses, or supporting elderly individuals with daily tasks and health monitoring.

Imagine logging off work and knowing your AI teammate will monitor your email, respond to routine inquiries, update your CRM, and prepare your reports for the next day all without a single prompt. That’s not science fiction, it's the very real promise of agentic AI.

What this future demands from us is not fear, but responsibility. We must guide the development of these technologies to serve human goals, amplify ethical intelligence, and build a world where AI doesn’t just mimic thought but supports human flourishing.

Conclusion: Empowering the Human Mind Through Agentic AI

The rise of agentic AI signals a fundamental shift in the way we interact with technology. These autonomous digital agents are not here to replace human intelligence, they are here to augment it. By moving beyond simple, reactive tools to proactive and context-aware collaborators, agentic AI extends human capability in areas ranging from decision-making to creativity, productivity, and innovation.

This evolution marks the next chapter of the AI revolution, one where machines are not merely assistants, but intelligent teammates capable of managing complex workflows, learning from feedback, and evolving with us.

As we stand at the edge of this new era, the most important question is no longer “Will agentic AI change our lives?” it’s “How will we choose to harness it?”

With thoughtful design, strong ethical frameworks, and a focus on human-AI collaboration, these technologies can:

Empower entrepreneurs and startups to do more with less.

Revolutionize industries like healthcare, education, and creative media.

Enhance learning, innovation, and accessibility on a global scale.

Want to go deeper? Explore how OpenAI’s AutoGPT and Google’s Project Astra are shaping the next generation of intelligent agents.

Final Call to Action

Are you ready to embrace the future of AI?

Subscribe to Entrepreneurial Era Magazine for more practical insights, case studies, and strategies on integrating Agentic AI into your business, career, or creative journey.

Let’s shape the future together with AI as our co-pilot.

FAQs

What is Agentic AI, and how is it different from regular AI? Agentic AI refers to systems that can operate independently, make decisions, and pursue goals without continuous human guidance. Unlike traditional AI that reacts to commands, Agentic AI takes initiative, plans tasks, and adjusts its behavior based on outcomes. Think of it like a digital assistant that doesn’t just wait for instructions but proactively helps you manage your day, automate work, or optimize decisions. This makes Agentic AI ideal for complex workflows, business automation, and even personal productivity offering a significant upgrade over static or rule-based AI models.

How can Agentic AI benefit my small business? Agentic AI can automate repetitive tasks, manage customer interactions, and even analyze business data to improve operations. For instance, it can handle scheduling, automate emails, manage inventory alerts, and recommend actions based on real-time data. Unlike basic automation tools, Agentic AI acts more like a virtual employee identifying bottlenecks, adjusting priorities, and learning from each decision. This reduces human error, saves time, and allows small business owners to focus on strategy and growth instead of operations. The longer it runs, the smarter and more efficient it becomes.

Can Agentic AI integrate with existing tools like CRMs or project managers? Yes, most Agentic AI platforms are designed to work with existing software like CRMs, task managers, email platforms, and data tools. Integration may involve APIs, plugins, or native connectors that allow the AI to read, analyze, and act on your business data. Once connected, the AI can schedule follow-ups, organize leads, assign tasks, and suggest process improvements without manual input. This seamless integration empowers teams to operate more efficiently, using the tools they already know supercharged by intelligent automation.

Is Agentic AI safe to use with sensitive information? Agentic AI systems are generally built with advanced encryption, access controls, and compliance with data protection regulations (like GDPR or HIPAA, depending on the use case). However, safety depends on the platform you choose. Reputable providers ensure that the AI only accesses necessary data and follows strict protocols for storing and processing sensitive information. Always verify a platform’s security standards, opt for role-based access, and audit activity logs regularly. When implemented correctly, Agentic AI can actually improve security by reducing human error in data handling.

Do I need technical skills to use Agentic AI effectively? No, most modern Agentic AI platforms are designed with user-friendly interfaces, guided onboarding, and natural language instructions. You don’t need to code or understand machine learning. For example, you can ask the assistant to “automate follow-ups for new leads” or “summarize this week’s tasks.” Many systems even learn your preferences over time, making suggestions tailored to your workflow. However, understanding your business processes and goals clearly is important because the AI works best when it knows what outcomes you're aiming to achieve.

How does Agentic AI learn and improve over time? Agentic AI uses machine learning algorithms that analyze data, decisions, and results to improve its performance over time. It tracks patterns, adapts to user preferences, and optimizes processes based on feedback loops. For instance, if you reject certain suggestions, it learns to adjust future recommendations accordingly. Some advanced Agentic AIs also conduct trial-and-error planning, known as reinforcement learning, to fine-tune their strategies. This makes them highly effective in dynamic environments where flexibility, personalization, and long-term optimization are valuable.

Can Agentic AI replace human employees? Agentic AI is designed to augment human workers, not replace them. While it can automate repetitive or data-heavy tasks, humans are still essential for creativity, judgment, and emotional intelligence. For example, the AI might prepare reports, manage appointments, or send follow-ups, but humans will still lead decision-making, handle complex negotiations, and ensure alignment with business values. Think of Agentic AI as a digital teammate, one that handles the busywork so your team can focus on innovation, strategy, and relationship-building.

What industries benefit most from Agentic AI? Virtually every industry can benefit from Agentic AI, but it's especially transformative in areas like customer service, sales, marketing, healthcare, logistics, and finance. For example, in healthcare, an Agentic AI can manage patient follow-ups, insurance verification, and medical reminders. In e-commerce, it can optimize inventory, automate promotions, and analyze customer behavior. Its strength lies in cross-functional utility wherever workflows are repeatable and data-driven, Agentic AI can create massive efficiencies and improve decision quality without ongoing micromanagement.

What should I consider before implementing Agentic AI? Before adopting Agentic AI, define your goals clearly: Do you want to automate tasks, improve decision-making, or scale operations? Evaluate your current workflows to identify areas where autonomy adds the most value. Choose a platform that supports integration with your existing tools, offers robust security, and aligns with your industry needs. Also, prepare your team for collaboration with AI by promoting a culture of experimentation and learning. A thoughtful implementation ensures the AI complements human roles, enhances productivity, and delivers real ROI.

What is the future of Agentic AI? The future of Agentic AI lies in more human-like decision-making, proactive problem solving, and deeper collaboration with both humans and other AIs. We're moving toward AI agents that understand context, maintain long-term goals, and self-optimize with minimal input. In the near future, these assistants will run entire business functions, conduct autonomous research, negotiate contracts, or even design products. They’ll act as intelligent extensions of individuals and organizations blending autonomy with accountability. This evolution marks a shift from using tools to partnering with intelligent agents that think and act independently.

[tudip123]

Robo-Advisors: Automating Investment Management with Fintech Software

Gone are the days when investing was reserved for the financially savvy elite, poring over complex spreadsheets and market trends. In today’s digital age, technology has democratized finance, making investing accessible to anyone with an internet connection and a few bucks to spare. At the forefront of this financial revolution are robo-advisors – the sleek, automated platforms that are changing the game of investment management.

So, what exactly are robo-advisors? Imagine having a virtual financial advisor at your fingertips, ready to help you make smart investment decisions without the hefty fees or intimidating jargon. That’s precisely what robo-advisors offer. These platforms utilize cutting-edge algorithms and machine learning to analyze your financial situation, risk tolerance, and investment goals, and then recommend a personalized portfolio tailored to your needs.

One of the key advantages of robo-advisors is their accessibility. Whether you’re a seasoned investor or a complete newbie, getting started with a robo-advisor is as easy as signing up online and answering a few questions about your financial goals. Unlike traditional financial advisors who may require hefty minimum investment amounts, robo-advisors often have low or no minimums, allowing even those with modest savings to get started.

But it’s not just accessibility that sets robo-advisors apart – it’s also their cost-effectiveness. With traditional financial advisors, you could expect to pay fees ranging from 1% to 2% of your assets under management annually. In contrast, robo-advisors typically charge much lower fees, often around 0.25% to 0.50%, making them a more affordable option for many investors.

Another compelling feature of robo-advisors is their ability to automate the investment process. Once you’ve set up your account and chosen your desired investment strategy, the robo-advisor takes care of the rest, automatically rebalancing your portfolio and reinvesting dividends to keep you on track towards your goals. This hands-off approach not only saves you time and effort but also helps you avoid emotional decision-making, a common pitfall for many investors.

Of course, like any investment strategy, robo-advisors have their limitations. While they excel at providing low-cost, diversified portfolios, they may lack the personalized touch and nuanced advice that a human advisor can offer. Additionally, their reliance on algorithms means that they may not always adapt quickly to rapidly changing market conditions.

Nevertheless, the rise of robo-advisors represents a significant shift in the world of investment management. By harnessing the power of fintech software, these platforms are making investing more accessible, affordable, and hassle-free than ever before. Whether you’re saving for retirement, building an emergency fund, or simply looking to grow your wealth, robo-advisors offer a convenient and effective way to achieve your financial goals.

Click the link below to learn more about the blog Robo-Advisors Automating Investment Management with Fintech Software: https://tudip.com/blog-post/robo-advisors-automating-investment-management-with-fintech-software/.

[ecrivainsolitaire]

A summary of the Chinese AI situation, for the uninitiated.

These are scores on different tests that are designed to see how accurate a Large Language Model is in different areas of knowledge. As you know, OpenAI is partners with Microsoft, so these are the scores for ChatGPT and Copilot. DeepSeek is the Chinese model that got released a week ago. The rest are open source models, which means everyone is free to use them as they please, including the average Tumblr user. You can run them from the servers of the companies that made them for a subscription, or you can download them to install locally on your own computer. However, the computer requirements so far are so high that only a few people currently have the machines at home required to run it.

Yes, this is why AI uses so much electricity. As with any technology, the early models are highly inefficient. Think how a Ford T needed a long chimney to get rid of a ton of black smoke, which was unused petrol. Over the next hundred years combustion engines have become much more efficient, but they still waste a lot of energy, which is why we need to move towards renewable electricity and sustainable battery technology. But that's a topic for another day.

As you can see from the scores, are around the same accuracy. These tests are in constant evolution as well: as soon as they start becoming obsolete, new ones are released to adjust for a more complicated benchmark. The new models are trained using different machine learning techniques, and in theory, the goal is to make them faster and more efficient so they can operate with less power, much like modern cars use way less energy and produce far less pollution than the Ford T.

However, computing power requirements kept scaling up, so you're either tied to the subscription or forced to pay for a latest gen PC, which is why NVIDIA, AMD, Intel and all the other chip companies were investing hard on much more powerful GPUs and NPUs. For now all we need to know about those is that they're expensive, use a lot of electricity, and are required to operate the bots at superhuman speed (literally, all those clickbait posts about how AI was secretly 150 Indian men in a trenchcoat were nonsense).

Because the chip companies have been working hard on making big, bulky, powerful chips with massive fans that are up to the task, their stock value was skyrocketing, and because of that, everyone started to use AI as a marketing trend. See, marketing people are not smart, and they don't understand computers. Furthermore, marketing people think you're stupid, and because of their biased frame of reference, they think you're two snores short of brain-dead. The entire point of their existence is to turn tall tales into capital. So they don't know or care about what AI is or what it's useful for. They just saw Number Go Up for the AI companies and decided "AI is a magic cow we can milk forever". Sometimes it's not even AI, they just use old software and rebrand it, much like convection ovens became air fryers.

Well, now we're up to date. So what did DepSeek release that did a 9/11 on NVIDIA stock prices and popped the AI bubble?

Oh, I would not want to be an OpenAI investor right now either. A token is basically one Unicode character (it's more complicated than that but you can google that on your own time). That cost means you could input the entire works of Stephen King for under a dollar. Yes, including electricity costs. DeepSeek has jumped from a Ford T to a Subaru in terms of pollution and water use.

The issue here is not only input cost, though; all that data needs to be available live, in the RAM; this is why you need powerful, expensive chips in order to-

Holy shit.

I'm not going to detail all the numbers but I'm going to focus on the chip required: an RTX 3090. This is a gaming GPU that came out as the top of the line, the stuff South Korean LoL players buy…

Or they did, in September 2020. We're currently two generations ahead, on the RTX 5090.

What this is telling all those people who just sold their high-end gaming rig to be able to afford a machine that can run the latest ChatGPT locally, is that the person who bought it from them can run something basically just as powerful on their old one.

Which means that all those GPUs and NPUs that are being made, and all those deals Microsoft signed to have control of the AI market, have just lost a lot of their pulling power.

Well, I mean, the ChatGPT subscription is 20 bucks a month, surely the Chinese are charging a fortune for-

Oh. So it's free for everyone and you can use it or modify it however you want, no subscription, no unpayable electric bill, no handing Microsoft all of your private data, you can just run it on a relatively inexpensive PC. You could probably even run it on a phone in a couple years.

Oh, if only China had massive phone manufacturers that have a foot in the market everywhere except the US because the president had a tantrum eight years ago.

So… yeah, China just destabilised the global economy with a torrent file.

[srbachchan]

DAY 6274

Jalsa, Mumbai Aopr 20, 2025 Sun 11:17 pm

🪔 ,

April 21 .. birthday greetings and happiness to Ef Mousumi Biswas .. and Ef Arijit Bhattacharya from Kolkata .. 🙏🏽❤️🚩.. the wishes from the Ef family continue with warmth .. and love 🌺

The AI debate became the topic of discussion on the dining table ad there were many potent points raised - bith positive and a little indifferent ..

The young acknowledged it with reason and able argument .. some of the mid elders disagreed mildly .. and the end was kind of neutral ..

Blessed be they of the next GEN .. their minds are sorted out well in advance .. and why not .. we shall not be around till time in advance , but they and their progeny shall .. as has been the norm through generations ...

The IPL is now the greatest attraction throughout the day .. particularly on the Sunday, for the two on the day .. and there is never a debate on that ..

🤣

.. and I am most appreciative to read the comments from the Ef on the topic of the day - AI .. appreciative because some of the reactions and texts are valid and interesting to know .. the aspect expressed in all has a legitimate argument and that is most healthy ..

I am happy that we could all react to the Blog contents in the manner they have done .. my gratitude .. such a joy to get different views , valid and meaningful ..

And it is not the end of the day or the debate .. some impressions of the Gen X and some from the just passed Gen .. and some that were never ever the Gen are interesting as well :

The Printing Press (15th Century)

Fear: Scribes, monks, and elites thought it would destroy the value of knowledge, lead to mass misinformation, and eliminate jobs. Reality: It democratized knowledge, spurred the Renaissance and Reformation, and created entirely new industries—publishing, journalism, and education.

⸻

Industrial Revolution (18th–19th Century)

Fear: Machines would replace all human labor. The Luddites famously destroyed machinery in protest. Reality: Some manual labor jobs were displaced, but the economy exploded with new roles in manufacturing, logistics, engineering, and management. Overall employment and productivity soared.

⸻

Automobiles (Early 20th Century)

Fear: People feared job losses for carriage makers, stable hands, and horseshoe smiths. Cities worried about traffic, accidents, and social decay. Reality: The car industry became one of the largest employers in the world. It reshaped economies, enabled suburbia, and created new sectors like travel, road infrastructure, and auto repair.

⸻

Personal Computers (1980s)

Fear: Office workers would be replaced by machines; people worried about becoming obsolete. Reality: Computers made work faster and created entire industries: IT, software development, cybersecurity, and tech support. It transformed how we live and work.

⸻

The Internet (1990s)

Fear: It would destroy jobs in retail, publishing, and communication. Some thought it would unravel social order. Reality: E-commerce, digital marketing, remote work, and the creator economy now thrive. It connected the world and opened new opportunities.

⸻

ATMs (1970s–80s)

Fear: Bank tellers would lose their jobs en masse. Reality: ATMs handled routine tasks, but banks actually hired more tellers for customer service roles as they opened more branches thanks to reduced transaction costs.

⸻

Robotics & Automation (Factory work, 20th century–today)

Fear: Mass unemployment in factories. Reality: While some jobs shifted or ended, others evolved—robot maintenance, programming, design. Productivity gains created new jobs elsewhere.

The fear is not for losing jobs. It is the compromise of intellectual property and use without compensation. This case is slightly different.

I think AI will only make humans smarter. If we use it to our advantage.

That’s been happening for the last 10 years anyway

Not something new

You can’t control that in this day and age

YouTube & User-Generated Content (mid-2000s onward)

Initial Fear: When YouTube exploded, many in the entertainment industry panicked. The fear was that copyrighted material—music, TV clips, movies—would be shared freely without compensation. Creators and rights holders worried their content would be pirated, devalued, and that they’d lose control over distribution.

What Actually Happened: YouTube evolved to protect IP and monetize it through systems like Content ID, which allows rights holders to:

Automatically detect when their content is used

Choose to block, track, or monetize that usage

Earn revenue from ads run on videos using their IP (even when others post it)

Instead of wiping out creators or studios, it became a massive revenue stream—especially for musicians, media companies, and creators. Entire business models emerged around fair use, remixes, and reactions—with compensation built in.

Key Shift: The system went from “piracy risk” to “profit partner,” by embracing tech that recognized and enforced IP rights at scale.

This lead to higher profits and more money for owners and content btw

You just have to restructure the compensation laws and rewrite contracts

It’s only going to benefit artists in the long run ‎

Yes

They can IP it

That is the hope

It’s the spread of your content and material without you putting a penny towards it

Cannot blindly sign off everything in contracts anymore. Has to be a lot more specific.

Yes that’s for sure

“Automation hasn’t erased jobs—it’s changed where human effort goes.”

Another good one is “hard work beats talent when talent stops working hard”

Which has absolutely nothing to with AI right now but 🤣

These ladies and Gentlemen of the Ef jury are various conversational opinions on AI .. I am merely pasting them for a view and an opinion ..

And among all the brouhaha about AI .. we simply forgot the Sunday well wishers .. and so ..

my love and the length be of immense .. pardon

Amitabh Bachchan

[shadowxamyweek]

Just a little update. Currently 6 weeks into classes and going strong. Got high marks in both thus far. Finished one paper and got a stellar review, now onto two more projects and then I'm in the clear for a while. One of my professors made me aware of a part-time teaching opportunity at the university available after I get my degree in the spring of next year, so that was very flattering and exciting!

After two long weeks of hives, they're on their way out and should be finished by the end of this week, but somehow in the mix of everything, I think the antihistamine cream I was putting on my eyelids caused one to crack like hell and is now ~infected~ *jazz hands*. I'm putting triple antibiotic on it when Ginger isn't around since Ginger is very allergic to it for some reason. Also employing the eye patch, which I haven't had to do for a while, in order to ensure that the eye still works and focuses and doesn't rely too much on the normal, healthy eye at this point (because of course the one that is also infect is my lazy eye that I have to work extra hard to keep healthy anyway.)

Also, there's been some... there's been a bit of a kerfuffle at my one work place. Due to recent political upheaval and the ever-pervasive gen AI in my field and other fields, I haven't...received any work from them in about two months. I'm not the only one either. Many of us are just sitting and waiting. We're not sure what's going on. Our contracts are all still active and we're all still on the payroll, but there's nothing quite so disheartening as getting an email from the bookkeeping software saying, 'you've been paid,' and it's... just 0. Thankfully my other job is still going and will continue to go strong until June, and I've been able to pull extra hours.

*drags hands down face*

All that to say, it will be fine. I'll make it fine. Just holy fucking shit can things stop happening.

To end on a high-note- you all have been so very kind in helping me cover 17% of the cost of this semester of classes! That's tremendous! I deeply, truly appreciate your help, and have been keeping it in mind as I plunge back into my academics so as to keep my spirits high and my work ethic strong <3

[deardearestbrandsnews2025]

For a digital-only, cloud-based PlayStation 7, here’s an updated schematic focusing on next-gen cloud gaming, AI-driven performance, and minimalistic hardware:

1. Hardware Architecture (Cloud-Optimized, Minimalist Design)

Processing Power:

Cloud-Based AI Compute Servers with Custom Sony Neural Processing Units (NPUs)

Local Ultra-Low Latency Streaming Box (PS7 Cloud Hub) with AI-Assisted Lag Reduction

Storage:

No Internal Game Storage (Everything Runs via PlayStation ZeroCloud)

4TB Cloud-Synced SSD for System & Personal Data

Connectivity:

WiFi 7 & 6G Mobile Support for High-Speed Streaming

Quantum Encrypted Bluetooth 6.0 for Peripherals

Direct-to-Server Ethernet Optimization (AI-Managed Ping Reduction)

Form Factor:

Minimalist Digital Console Hub (Size of a Small Router)

No Disc Drive – Fully Digital & Cloud-Dependent

2. UI/UX Design (AI-Powered Cloud Interface)

NexusOS 1.0 (Cloud-Based AI UI): Personalized Dashboard Adapting to Player Preferences

ZeroNexus AI Assistant:

Predictive Game Recommendations

Smart Latency Optimization for Cloud Gaming

In-Game AI Strategy Coach

Instant Play Anywhere:

Seamless Cloud Save Syncing Across Devices

Playable on Console, PC, Tablet, or NexusPad Companion Device

Holographic UI Options (for AR Integration with Future PlayStation VR)

3. Concept Art & Industrial Design (Minimalist, Streaming-Focused)

Compact, Vertical-Standing Console (PS7 Cloud Hub)

Sleek, Heatless Design (No Heavy Internal Processing)

DualSense 2X Controller:

Cloud-Connected Haptics (Real-Time Adaptive Feedback)

AI-Touchscreen Interface for Quick Actions & Cloud Navigation

Self-Charging Dock (Wireless Power Transfer)

4. Software & Ecosystem (Full Cloud Gaming Integration)

PlayStation ZeroCloud (Sony’s Ultimate Cloud Gaming Service)

No Downloads, No Installs – Instant Play on Any Device

AI-Based 8K Upscaling & Adaptive Frame Rate

Cloud-Powered VR & AR Experiences

Cross-Platform Compatibility: PlayStation 7 Games Playable on PC, TV, & Mobile

Subscription-Based Ownership (Game Library Access Model with NFT Licensing for Exclusive Titles)

Eco-Friendly AI Resource Scaling: Low Power Consumption for Cloud Streaming

This design ensures ultra-fast, high-quality, cloud-first gaming while eliminating hardware limitations. Let me know if you want refinements or additional features!

[sinchchatlayer]

How Chatlayer's Conversational AI Enhances Lead Generation and Sales

Those days are gone when the only human-like conversations we used to have with fellow humans. It is 2025, and we are already in the future that we have always talked about. We have now set foot in a world where we can converse with robots. Now, that's pretty exciting. According to some, there may come a day when Artificial Intelligence (AI) takes over humans entirely. However, today is not that day. Today, let's appreciate the blessing that AI is to humanity and dive deep into the advantages of conversational AI-powered next-gen chatbots. Sinch Chatlayer This is our mission at Sinch. Our latest enhancement comes through the acquisition of Sinch Chatlayer. A cloud-based software platform that lets businesses create chatbots and voice bots in 100+ languages using Artificial Intelligence (AI) and Natural Language Understanding (NLU). Chatlayer provides analytics directly on the platform. Individual bot messages can be fully analysed and Chatlayer's dashboard features allow administrators to inspect the overall health of a particular bot. Chatlayer SaaS platform easily integrates with all major CRM, ticketing systems, knowledge base, and contact center solutions through our API. AI-based chatbot Artificial intelligence or AI-based chatbots are apps or interfaces that can carry on a human-like conversation using natural language understanding (NLU) or natural language processing (NLP) and machine learning. AI chatbots differ from standard chatbots because they leverage large language models (LLMs) versus traditional conversation flows and pre-programmed responses to generate responses to text and voice inputs. AI chatbots can improve customer experiences with virtual agents trained on a business's content and data, lower costs, and scale customer support. AI chatbot integration AI chatbot integration gives you instant AI-powered support, and Live chat adds the expertise of human agents, ensuring that every customer interaction is efficient and effective. Your customers can reach out to an AI chatbot anytime and get an instant response. Live agents will deliver a personalized experience when needed. Create a custom self-learning AI model based on your existing business data. Answer even the most complex queries with immediate responses using generative AI.

[modularnra40]

Thoughts On Gen AI Art

I want to put my thoughts on the subject down in words, and this seems as good a place as any

I hate that society and capitalism have forced me to be anti AI Art! Ten years ago, this was literally my biggest dream! There is a *very* close alternate timeline where my career is fully enmeshed in generative ai (as opposed to only sort of enmeshed)! Like, I cannot emphasize enough that I was basically a coin flip away from going back and getting my graduate degree *in AI* (instead I decided I liked having money, and kept working as a software dev)

Also! It is so so so frustrating how many of the complaints and scare tactics around Gen AI are ultimately bogus. Mostly - plagiarism and the environmental impact are both wildly misconstrued... Most folks do not understand the Sheer Amount of data that these LLMs are trained on.... It is an amount of input which is essentially incomprehensible. The actual impact any individual piece of art has on the model is so minute as to be meaningless; and frankly, it icks me out to be on the side of 'strict copyright good actually'???? Like, one of the consequences of putting your work out publicly is that people can use it - there is definitely a good discussion to be had around if models are trained on media that is supposed to be behind a paywall, and if so how we either prevent that or make them pay to use it, but the way the discussion is currently framed is *actively dangerous* because it is in *direct opposition* to fair use. (This is a complex subject! I know! But there is a big difference between 'this is cruel/immoral/tacky' vs 'this should be illegal'! If it becomes a legal issue you MUST consider the WORST consequences as well as the intended ones! Laws generally, and US laws specifically are *not* historically good at differentiating between actual human individuals and corporations or abstract technological entities! And 'actually it should be harder to appeal as fair use' is NOT the right side to be on!!!!)

And the economic impact.... Guys please don't believe pop sci articles, shits always more complicated then that

But anyway, I think that right now there is no way to justify the use of generative ai for the creation of static media. That is so clearly taking jobs out of the hands of actual living humans - even the argument that you would never have actually paid someone to do XYZ is a bit suspect along basically the same lines as making fan content for jk Rowling - like.... Sure, that may be true, but now you definitely won't, and also you are tacitly endorsing this use. (Similarly to making fan content for jkr, I consider this to be tacky but not actually A Sin)

HOWEVER -- I think I am pro AI Art for things that you literally could not possibly get a human to do.

The main use case I have in mind is video games. Either more traditional viddya games, or things like endless choose your own adventure novels**.... Also new kinds of musical instruments --- imagine a synth that changes itself as you play it? There is some really really cool stuff just over the horizon in these sorts of directions - and there is no person they are replacing, no one *could* do those things. Harm still has to be considered on a case by case basis, it should go without saying, but like. At that point the argument really becomes 'this piece of art shouldn't exist because it's taking resources away from this other piece of art' - which is to say, fundementally a bad argument. There is no ethical consumption etc etc

**there is an argument that this is tt:RPGs but guys... It really isn't. Like, I love DnD as much as the next millennial nerd, but there really is a fundementally different urge met by a Group Role Play activity and a Single Person Visual Novel, or RPG video game .... Like, people play DnD with their friends and then go home and load up Baldur's Gate - these are different activities. The 'anytime anywhere completely private AI story book writer' is a role that *could not possibly* be filled by a human

AND all of this is sort of eliding over the fact that like, using AI good is a skill! AI output sucks! It is genuinely hard to get AI to consistently produce useful output! I think that will become more and more apparent as time goes by and the shine wears off - a lot of uses for AI will become ubiquitous and common place, and improve as that occurs, but a lot will just go away because it is fundementally easier to work collaboratively with a human being then to use generative ai.

I Do estimate that in like... 15-30 years there will be some Andy Warhol type artist who uses AI in some fancy and challenging way, fundementally altering the social landscape around AI Art... But like, we'll see.

Tl:Dr: Taking existing jobs out of people's mouths in favor of shitty AI slop=bad; making new, previously literally impossible art with new tech=super cool

[govindhtech]

Agilex 3 FPGAs: Next-Gen Edge-To-Cloud Technology At Altera

Agilex 3 FPGA

Today, Altera, an Intel company, launched a line of FPGA hardware, software, and development tools to expand the market and use cases for its programmable solutions. Altera unveiled new development kits and software support for its Agilex 5 FPGAs at its annual developer’s conference, along with fresh information on its next-generation, cost-and power-optimized Agilex 3 FPGA.

Altera

Why It Matters

Altera is the sole independent provider of FPGAs, offering complete stack solutions designed for next-generation communications infrastructure, intelligent edge applications, and high-performance accelerated computing systems. Customers can get adaptable hardware from the company that quickly adjusts to shifting market demands brought about by the era of intelligent computing thanks to its extensive FPGA range. With Agilex FPGAs loaded with AI Tensor Blocks and the Altera FPGA AI Suite, which speeds up FPGA development for AI inference using well-liked frameworks like TensorFlow, PyTorch, and OpenVINO toolkit and tested FPGA development flows, Altera is leading the industry in the use of FPGAs in AI inference workload

Intel Agilex 3

What Agilex 3 FPGAs Offer

Designed to satisfy the power, performance, and size needs of embedded and intelligent edge applications, Altera today revealed additional product details for its Agilex 3 FPGA. Agilex 3 FPGAs, with densities ranging from 25K-135K logic elements, offer faster performance, improved security, and higher degrees of integration in a smaller box than its predecessors.

An on-chip twin Cortex A55 ARM hard processor subsystem with a programmable fabric enhanced with artificial intelligence capabilities is a feature of the FPGA family. Real-time computation for time-sensitive applications such as industrial Internet of Things (IoT) and driverless cars is made possible by the FPGA for intelligent edge applications. Agilex 3 FPGAs give sensors, drivers, actuators, and machine learning algorithms a smooth integration for smart factory automation technologies including robotics and machine vision.

Agilex 3 FPGAs provide numerous major security advancements over the previous generation, such as bitstream encryption, authentication, and physical anti-tamper detection, to fulfill the needs of both defense and commercial projects. Critical applications in industrial automation and other fields benefit from these capabilities, which guarantee dependable and secure performance.

Agilex 3 FPGAs offer a 1.9×1 boost in performance over the previous generation by utilizing Altera’s HyperFlex architecture. By extending the HyperFlex design to Agilex 3 FPGAs, high clock frequencies can be achieved in an FPGA that is optimized for both cost and power. Added support for LPDDR4X Memory and integrated high-speed transceivers capable of up to 12.5 Gbps allow for increased system performance.

Agilex 3 FPGA software support is scheduled to begin in Q1 2025, with development kits and production shipments following in the middle of the year.

How FPGA Software Tools Speed Market Entry

Quartus Prime Pro

The Latest Features of Altera’s Quartus Prime Pro software, which gives developers industry-leading compilation times, enhanced designer productivity, and expedited time-to-market, are another way that FPGA software tools accelerate time-to-market. With the impending Quartus Prime Pro 24.3 release, enhanced support for embedded applications and access to additional Agilex devices are made possible.

Agilex 5 FPGA D-series, which targets an even wider range of use cases than Agilex 5 FPGA E-series, which are optimized to enable efficient computing in edge applications, can be designed by customers using this forthcoming release. In order to help lower entry barriers for its mid-range FPGA family, Altera provides software support for its Agilex 5 FPGA E-series through a free license in the Quartus Prime Software.

Support for embedded applications that use Altera’s RISC-V solution, the Nios V soft-core processor that may be instantiated in the FPGA fabric, or an integrated hard-processor subsystem is also included in this software release. Agilex 5 FPGA design examples that highlight Nios V features like lockstep, complete ECC, and branch prediction are now available to customers. The most recent versions of Linux, VxWorks, and Zephyr provide new OS and RTOS support for the Agilex 5 SoC FPGA-based hard processor subsystem.

How to Begin for Developers

In addition to the extensive range of Agilex 5 and Agilex 7 FPGAs-based solutions available to assist developers in getting started, Altera and its ecosystem partners announced the release of 11 additional Agilex 5 FPGA-based development kits and system-on-modules (SoMs).

Developers may quickly transition to full-volume production, gain firsthand knowledge of the features and advantages Agilex FPGAs can offer, and easily and affordably access Altera hardware with FPGA development kits.

Kits are available for a wide range of application cases and all geographical locations. To find out how to buy, go to Altera’s Partner Showcase website.

Read more on govindhtech.com

[rx-review]

SEOBuddy AI Review - Boost Your Website Google's First Page

Introduction of SEOBuddy AI Review

My SEOBuddy AI Review Sayad Shovon Hossain has written this review to provide you an in-depth view of SEOBuddy AI, which is currently being developed by Uddhab Pramanik. Own Google Page 1 With This Artificial Intelligence Ranking App SEOBuddy is the World's 1st artificial intelligence ranking app to help you RANK your websites and videos on the FIRST PAGE of GOOGLE & YOUTUBE!

A full-fledged SEO solution backed by the latest ChatGPT-4o tech, SEOBuddy AI It claims to develop and rank beautiful websites like a First page of Google, Yahoo, and Bing in 3 hours. SEOBuddy AI has all the weapons in its arsenal to cover keyword research, competitor analysis, backlink creation and ultraslim online security, thereby striving to offer businesses nothing but the best approach for search ranking success. One-time fee, competitively priced on a scale and offers very good value especially for small businesses and startups.

SEOBuddy AI Review - Overview

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Product: SEOBuddy AI 🚀

Launch date: June 10, 2024cron;

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SEOBuddy AI Review - What Is SEOBuddy AI?

SEOBuddy AI is a complete SEO package that helps you to move up your website in search results. From keyword research to competitor analysis, SEOBuddy AI covers it all and that is why SEOBuddy AI is a must-have asset for marketers/businesses. SEOBuddy AI is said to be the first AI application in the world which can help you create and rank high quality websites on any niche within hours. It can be the most attractive option for entrepreneurs and digital marketers. The tool is equipped with a plethora of features that help to improve your website performance, security, as well ranking, and is made available via a user-friendly dashboard.

SEOBuddy AI Review - Key Features

Develop & power up your dream sites live by using the next-gen ChatGPT-4o AI.

Instantly create engaging, SEO-friendly sites with our expansive collection of 1000+ beautiful AI Website Templates.

Rank a wide range of websites like gaming, education, e-commerce, food delivery, fashion, finance, sports, health & fitness, real estate and more) on top search engines.

FCPX Auto Tracker 2 Transition Pack Instantly increases your website visitors along with limitless SEO-friendly AI content from our built-in AI Stock Collection, consisting of images, videos, song as well as more.

Generate unlimited backlinks with our Unlimited Backlinks creator, boosting your website's credibility and popularity come on the top of the competition.

Humanize Transactions with Payment Integration and accept online payments or cash in hand as a payment method through PayPal, Stripe or directly on your websites

The complete geographic view of the website installs to your app by geography, views and ratings on all users and locales.

Use Social Media Share to bring out your sites to the best of over 50 and counting different social media platforms.

Get Free Traffic & Increase your sales From Your Website Greatly with embedding affiliate links in your homepage.

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SEOBuddy AI Review - Benefits

Rank On Page 1 Of Google, Yahoo & Bing In Only 3hrs

Increase traffic and income: Create and analyze backlinks to help you receive visitors which will turn into sales several occasions over.

An All-in-One SEO Tool: A single marketing platform that offers all the SEO tools and features you need.

Time & Money Savings: Easy SEO Automation and Say Goodbye to Expensive Multiple Tools.

Also, make sure to Enable Weekly Security Check: Secure your website using advanced features like cybersecurity, and plagiarism checks in-built.

Make Money: Easily generate thousands of dollars selling websites on your own with endless demand!

Our SEOBuddy AI Review - How It Works?

Below are the easy 3 steps that need to be followed with the help of leading SEOBuddy app;

Step #1: Voice Your Command

You can simply instruct the AI of what your preferences are, and soon you will have mesmerizing websites personalized to your taste and demand.

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Who can benefit with SEOBuddy AI

Freelancers: Make more money with SEOBuddy AI by offering website creation & SEO services. This way you can attract a new client and get extra income streams.

Benefit for Digital Marketers: Improve the search rankings of your client websites by using SEOBuddy AI. You can achieve better results by using the site's enhanced features, which provide an opportunity to generate more organic traffic for your clients.

Check out SEOBuddy AI and optimize your current websites to drive more traffic from search engines. Follow SEO best practices and take advantage of tools on the platform to get more viewers, and start building your online following.

SEO Agencies: SEOBuddy AI solves any aspects related to website creation and optimization as a whole. Helps you to automate repetitive works, streamlines your workflow and allows you to deliver the best possible results for your clients which in turn increases customer satisfaction leading helps to have a more satisfied and retained customer base.

Developers: Create as many websites and online businesses as you want with SEOBuddy AI's simple user experience and tech-forward feature set. So you take care of your core business and get the best possible search engine result.

Small Business Owners: Get dominated in your local market using SEOBuddy AI to build a powerful online presence. Bring more customers to do SEO friendly websites and earn high without spending too much money for web development.

Pros & Cons of SEOBuddy AI Review

Pros:

Fast First Page Rankings On Google, Yahoo and Bing

FREE suite of search engine optimisation tools and more.

Leverage AI-powered content generation and competitor research.

Limited use of backlinks and keyword research, both of which should provide unlimited access.

Benefit more than most users as you are protected with the help of plagiarism and cybersecurity protection.

Turnover from selling websites and SEO services can be potentially very high.

Enjoy an easy to use dashboard and a real time chat support.

Commercial license included at no extra charge!

Not to forget, you can benefit with a 30-day money back offer!

Cons:

Initial setup and learning curve for new users.

Competition with other tool users

SEOBuddy AI Review - OTO & Pricing

FE: SEOBuddy ($17)

OTO1: SEOBuddy PRO ($39)

Upgrade 2:  SEOBuddy Unlimited ($49)

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OTO4: SEOBuddy SiteSpy ($39)

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SEOBuddy AI Review - 100% Refund Offer

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So, here is the thing: If you buy SEOBuddy AI and it doesn't fire on all cylinders for you at least from the very first attempt; we do not want your money… General ProdukUp Writing We aim to build a good product and not get even one unpleasant customer. If we suck, we have no business taking your money.

If we didn't meet your expectations, just send a message to [email protected] and include REFUND -- in the subject line within 30 days and ask for your money back. PLUS we are going to give you extra software to enable you to sell those unique devices more and better than ever!! as a goodwill gesture.

So, either way, you win.

SEOBuddy AI Review - FAQs

Q) What is SEOBuddy AI?

SEOBuddy AI is the first and only AI app in the world, powered by the brand new ChatGPT-4. It makes top quality sites in any niche and also makes these rank on the first page of Google, Yahoo and Bing within three hours!

Q. Is it necessary to have some skills or experience before I start?

Well It does not require you to have any prior skills or experience. This program is completely beginner friendly with a neat dashboard, Check out the 5 things SEOBuddy AI can do here > Click Here

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We’ve got you covered. If you do not get the results that you want from SEOBuddy AI, just contact us within 30 days and we will refund your entire payment.

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CONCLUSION OF SEOBuddy AI REVIEW

This product can also supercharge your website and your landing pages making them shoot to the top of Google or any other search engine.

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[onepawproductions]

Ai Error!: Bug in the System!

So, fun fact, this is what an Ai produces when there's been a callback error in the Python script!

You see... I tend to tinker with the UI-Config.json, config.json, and CSS files while I wait for gens to finish, or when I'm running a track through a mastering script. Just kinda perfecting the software for my use case.

And eeeeevery once-in-while, I'll change something that the Ai flips out over.

Like that one time I set Face Restoration visibility to "False", instead of "false". Took me AGES to track it back to an accidental Auto-caps.

So here's a buncha gens of what you get when you ask for "a pencil sketch of a concerned [Hermione Granger: Emma Watson: 0.75] looking down at her hand gently resting on a sad (Draco Malfoy 1.9) who is laying his head on her lap while laying down on his side, on a Victorian bed, in a vintage apartment, wearing robes, romantic, gentle, tender" (plus my Chapter Heading Style modifiers, and my "No!" modifiers)

On the upside, I'm super proud of my Ai for spelling the word "Draco". You go, lil buddy! Maybe dial back the creepypasta vibes next time, eh?

And here's how you know the Ai had gone COMPLETELY OFF THE RAILS, and needs a reboot, poor thing:

[mmopor]

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[cloudshoregames]

Mech Construction Showcase: Nine-Ball

Greetings, Dan here!

Armored Core is one of the primary inspirations behind Beneath Twisted Earth. I played it back during Gen 1, and would occasionally return to replay it to get that same feeling. When YouTuber, Josh Strife Hayes did a longform video revisiting Armored Core 1 for the PS1 last year, it sparked the inspiration that would become BTE. From the megacorp-ruled, war-torn dystopia, to the mission-downtime story progression for pilots AC is in BTE's DNA. That is not to discount the influences from other properties (Battletech, Front Mission, Gundam, Nausica, etc), just that it provided the initial spark to this project. So when the announcement for AC6 came out over the summer I was very excited. I'll be picking up my copy this Friday to keep the mech juices flowing through the final development steps. To commemorate the occasion, this Mech Construction Showcase will be showing off the main antagonist from Gen 1, (26 year old spoiler warning), Nine-Ball.

For those not familiar, Nine-Ball is a high end AC constructed by the AI that runs all of what remains of the human world. This AI played all factions against each other, and Nine-Ball was its avatar amongst them, using it to pose as the mercenary pilot, Hustler One. When the time came Nine-Ball, directly piloted by the AI as an assault unit against key targets that threatened its primary programming (maintaining human population and advancement through endless war). Because of this, Nine-Ball comes equipped with the same equipment that other pilots might come across, but the build has been optimized for speed and frequency of attacks.

(Nine-Ball art property of From Software)

Nine-Ball is designed with a medium amount of armor so as not to sacrifice speed, to reflect this, we will equip it with an Anodyne Frame, giving it 36 AP. The Boosters will likewise come from Anodyne, giving it a Movement Rating of 3. In order to reflect its high end optimization from skill and attacks, we will install a Sakura CPU, giving Nine-Ball four Utilities, and a Sakura Radiator to provide a Heat Rating of 14.

For the four Utilities, we will go with the AI Assistant to give Nine-Ball a one stat/skill reroll per round; an Aerial Frame allowing for flight capabilities; a Sensor Suite to allow it to scan the field in a variety of ways; and a Neural Interface granting a +5 to Mech Piloting. While the names for a couple of these utilities may imply a biological component or another AI involved, we will consider these both expressions of Hustler One's full capabilities as an AI itself.

As for Weapon Systems, Nine-Ball is known for carrying missile launchers, a laser blade, a pulse rifle, and grenade launchers. While we could have used the 14 HR to build four weapons, we will instead create two weapons, and simulate the remaining weapons through mods and disposables allowing for stronger weapons. For this build, Nine-Ball's primary weapon will be it's Pulse Rifle, with a Weapon Skill of 60, and 9 HR. We will set the damage for this weapon at the relatively low d6 dmg for two heat, while we will increase the Rate of Fire to 2 for two heat. We will also give the Rate of Fire an optimization to raise it up to a total of 3 attacks per round. For ammunition, we'll spend four heat to give the rifle 12 Ammo. Then for Range we will make it effective at Medium range. Since Nine-Ball is high end, we will fill all three mod slots. The first, to reflect Nine-Balls usual grenade launcher loadout, we'll attach a grenade launcher mod to the pulse rifle. This will be limited to three shots, but should be enough to approximate. Next we'll install a Targeting AI that will add +5 to the associated Weapon Skill, again accounting for Hustler One's processing capabilities. Finally, we shall install Incendiary Ammo increasing damage dealt by +2.

Next, for targets that are up close, the Laser Blade. Now the version that Nine-Ball uses is equivalent to what starting pilots equip, so we will only spend one heat, giving it d4 in damage. With a Weapons Skill of 49, even if this is a low amount of damage any hit would deal a minimum of 5 dmg. Nine-Ball is known for attacking quickly in melee, so while we will only spend one heat on the Rate of Fire, giving it 1, we will optimize this feature to raise it to 2 attacks in a round. We will spend two heat to have 6 Ammo, and one heat to give the blade Melee range. For mods, we will install the Targeting AI and Incendiary ammo again.

Even though Nine-Ball's RoF is high across both of its weapons, we let the ammo be relatively low, meaning the AC has 3-4 rounds of consecutive attacks depending on the weapon before running out. Fortunately, any consecutive hits will stack damage on targets quickly thanks to high Weapon Skills. Still in order to compensate for any battles that it can't finish quickly, we will equip an Ammo Hopper for a refill on the Pulse Rifle. Then to account for Nine-Ball's normal load out of missiles, we will equip two disposable missile decks which will cover medium through far ranges. 

While Nine-Ball does have some gaps in its effective ranges, Close, Sniping, and Artillery, its MR of 3 will allow it to close any gaps with its opponents quickly. Ultimately, just like the boss of Armored Core Gen 1, this build would present a challenge for most opponents. Of course there were multiple ways this mech could have been built in the system to reflect the desired feel. This is just how I decided to go about it. It was a fun, slightly more in-depth build to help get ready for AC6's release on Friday. Next time though, I'd like to make a "mid tier" mech as well as visit another of BTE's core inspiration franchises. While we could go real robot, I think I'll use this chance to instead, build something more akin to a super robot. Next time, let's build the Shining Gundam from Mobile Fighter G Gundam.

Thank you once again for your interest in Beneath Twisted Earth, and I look forward to seeing you all at the launch of the full version soon!

Dan

[blogwithme01]

Magarpatta: Pune's Premier Tech Epicenter and Lifestyle Hub

Magarpatta City in Pune stands as a testament to thoughtful urban planning, evolving from agricultural land into a sprawling, self-sufficient IT and residential integrated township. Situated in Hadapsar, it has become a beacon for technology companies and a coveted address for IT professionals, cementing Pune's position as a leading Indian IT destination. The remarkable growth of IT companies in Magarpatta over the last two decades is a direct result of its strategic design, robust infrastructure, and a vibrant community ecosystem.

Why Magarpatta Attracts the Tech World

The allure of Magarpatta for IT businesses stems from a combination of unique advantages:

Integrated Urban Model: Unlike traditional business parks, Magarpatta offers a holistic living and working environment. This "walk-to-work" concept, with residential complexes, commercial towers, educational institutions, healthcare facilities, and recreational avenues within the same perimeter, significantly enhances employee convenience and quality of life.

Cutting-Edge Infrastructure: The dedicated IT park, Cybercity, is a showcase of modern architecture and technological readiness. It provides Grade A office spaces, uninterrupted power supply, high-speed fiber optic connectivity, and robust security systems, creating an ideal operational environment for tech enterprises.

Sustainable and Green Environment: Magarpatta's commitment to sustainability is evident in its ample green spaces, landscaped gardens, and emphasis on eco-friendly practices. This focus on environmental well-being contributes to a healthier and more productive work atmosphere.

Access to Skilled Talent: Pune's strong academic foundation, with numerous engineering colleges and technical universities, ensures a steady stream of highly skilled IT professionals. This ready availability of talent is a crucial factor for companies looking to expand their operations.

Key Players in Magarpatta's Tech Landscape

Magarpatta's Cybercity is home to a diverse array of IT companies, ranging from global multinational corporations to agile startups:

Global Giants: Major international firms have established significant development and delivery centers here. These include Accenture, providing extensive consulting and digital transformation services; Capgemini, known for its expertise in cloud and digital solutions; HCL Technologies, a prominent global IT services provider; Tata Consultancy Services (TCS), a powerhouse in software development and IT consulting; Infosys, a leader in next-gen digital services; Cognizant, focusing on business and technology consulting; Amdocs, specializing in software for communication service providers; and Red Hat, a pioneer in open-source solutions.

Specialized Centers: Several companies have dedicated innovation or development centers, such as HSBC Software Development (India) Pvt. Ltd. for banking technology, John Deere Technology Centre for agricultural solutions, Eaton India Innovation Center for power management, SAP (Sybase) for enterprise software, and Teradata for data analytics platforms.

Emerging & Mid-Sized Firms: Magarpatta also fosters a dynamic ecosystem of smaller and mid-sized IT companies and startups. Firms like YASH Technologies, Mobikode Software, Veracity Software, Qualitas IT Pvt Ltd, and Xento Systems contribute significantly to the local economy and drive innovation in niche areas like AI, machine learning, cybersecurity, mobile app development, and digital marketing.

Work Culture and Lifestyle Benefits

The companies in Magarpatta often cultivate a progressive work environment characterized by innovation, collaboration, and continuous learning. Employees benefit from:

Competitive Compensation & Benefits: Attractive salary packages, performance incentives, and comprehensive benefits are standard.

Flexible Work Models: Many firms embrace hybrid and remote work options, promoting work-life balance.

Professional Development: Emphasis on upskilling, training programs, and certifications to keep pace with evolving technologies.

Convenient Lifestyle: Access to a plethora of amenities, including Seasons Mall, food courts, healthcare facilities, parks, and recreational options, all within close proximity. The safe and well-maintained environment enhances the overall living experience.

Magarpatta's Future as a Tech Powerhouse

Magarpatta's strategic advantages, combined with its established reputation, position it for continued growth. As technology continues its rapid evolution, the township's ability to attract diverse IT talent and foster a conducive business environment will remain key. Magarpatta is not just an IT hub; it's a thriving tech ecosystem where innovation flourishes, careers are built, and a high quality of life is genuinely attainable. Its success story serves as a blueprint for sustainable IT development in India.

[cybersecurityict]

How do neural networks improve object recognition in self-driving cars

The Autonomous Driving Software Market was valued at USD 1.78 billion in 2023 and is expected to reach USD 5.58 billion by 2032, growing at a CAGR of 13.58% from 2024-2032.

Autonomous Driving Software Market is witnessing transformative growth as global automakers, tech giants, and AI innovators collaborate to push the boundaries of self-driving technology. The increasing demand for advanced driver assistance systems (ADAS), safety regulations, and smart mobility solutions are propelling adoption across major regions.

U.S. at the Forefront of Autonomous Innovation with Rapid Tech Integration and Strong Investment Support

Autonomous Driving Software Market continues to evolve through rapid software enhancements, real-time data processing, and sensor integration. As vehicle manufacturers accelerate their shift toward electric and autonomous platforms, software becomes the brain of next-gen transportation ecosystems.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/6544  

Market Keyplayers:

Aptiv (Aptiv Autonomous Driving Platform, Smart Vehicle Architecture)

Aurora Innovation Inc. (Aurora Driver, Aurora Horizon)

Baidu, Inc. (Apollo Autonomous Driving Platform, Apollo Go Robotaxi)

Continental AG (ContiConnect, Continental Autonomous Driving System)

Huawei Technologies Co., Ltd. (Huawei Autonomous Driving Platform, HiCar)

Mobileye (EyeQ5, Mobileye Roadbook)

Nvidia Corporation (NVIDIA Drive Platform, NVIDIA DRIVE Sim)

Pony.ai (PonyPilot, PonyOS)

Qualcomm Technologies, Inc. (Qualcomm Autonomous Driving Platform, Snapdragon Ride)

Robert Bosch GmbH (Bosch Autonomous Driving Solutions, Bosch ADAS Radar)

Waymo (Waymo Driver, Waymo One)

Uber ATG (Uber Advanced Technologies Group, Uber ATG Self-Driving System)

Tesla, Inc. (Full Self-Driving (FSD), Autopilot)

Apple Inc. (Apple Car Project, Apple Autonomous Driving Platform)

Zoox (Zoox Autonomous Vehicle, Zoox Self-Driving System)

Velodyne Lidar (Velodyne Alpha Puck, Velodyne VLS-128 Lidar)

Autoliv (Autoliv Autonomous Driving Safety, Autoliv Vision System)

LeddarTech (LeddarPixell, LeddarVision)

Daimler AG (Mercedes-Benz Autonomous Driving System, Drive Pilot)

Market Analysis

The market is characterized by intense R&D activity, high-profile partnerships, and growing regulatory backing. In the U.S., investments in autonomous testbeds and smart infrastructure are advancing at pace. Europe is equally active, with a focus on regulatory harmonization and sustainability. These regions are driving software-centric vehicle architectures with AI, machine learning, and edge computing capabilities at the core.

Startups and OEMs are leveraging simulation environments and real-world datasets to optimize algorithms for obstacle detection, route planning, and decision-making under diverse driving conditions. Software-defined vehicles are emerging as the new industry standard, shifting the focus from hardware to intelligent platforms.

Market Trends

Rise in Level 2+ and Level 3 autonomous deployments

Growth in cloud-native vehicle software and OTA (over-the-air) updates

Increased use of HD mapping, LiDAR, and V2X (vehicle-to-everything) tech

AI/ML adoption for decision logic and environment perception

Expansion of open-source software ecosystems for autonomous stacks

Cybersecurity enhancements for connected vehicle safety

Cross-industry partnerships between tech firms and auto OEMs

Market Scope

The scope of the Autonomous Driving Software Market extends beyond passenger vehicles to include logistics, ride-sharing, and public transportation. The transition to software-defined vehicles is unlocking new revenue streams and operational efficiencies.

Modular software stacks for multiple vehicle platforms

Real-time decision-making under varying traffic scenarios

Scalable cloud and edge architecture for autonomous fleets

Localization and path prediction using deep learning

Fleet management integrations for delivery and robo-taxi services

Regulatory compliance features for safety validation

Global testing platforms simulating varied urban environments

Forecast Outlook

The Autonomous Driving Software Market is set to witness exponential evolution driven by advancements in AI, real-time sensor fusion, and vehicle-to-infrastructure connectivity. With regulatory frameworks maturing and consumer acceptance increasing, autonomous mobility is shifting from concept to commercial reality. The U.S. and Europe will remain epicenters of innovation, with continuous developments in software platforms that ensure safety, efficiency, and adaptability in real-world conditions.

Access Complete Report: https://www.snsinsider.com/reports/autonomous-driving-software-market-6544 

Conclusion

The race toward autonomy is no longer a distant vision—it’s accelerating with precision and purpose. The Autonomous Driving Software Market represents the critical intelligence layer powering the future of mobility. From Silicon Valley startups to German automotive giants, the push for smarter, safer, and more connected driving experiences is reshaping how the world moves.

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