"No one is harder on a talented person than the person themselves" - Linda Wilkinson ; "Trust your guts and don't follow the herd" ; "Validate direction not destination" ;

March 31, 2025

Prompt + AI Code + Human Thinking > Prompt + AI Code

 


Ref - Link

Encourage juniors to use AI tools. It’s how the industry is evolving. Let them explore, but don’t stop at the surface.

🔍 Observe what bugs they can identify in AI-generated code and how they fix them. That tells you a lot about their problem-solving ability.

⚙️ Audit how they think about design and scalability. Can they spot limitations in AI output? Are they making informed architectural decisions?

🧠 The difference between a learning mindset and a copy-paste mindset becomes obvious over time. AI can accelerate growth, but only if developers take time to understand why things work.

🎯 Also, interview patterns must evolve to reflect this new ecosystem. We shouldn’t penalize devs for using modern tools—we should assess how they use them critically and creatively.

Let AI be a catalyst, not a crutch.

Keep Thinking!!!

March 30, 2025

Always plan for High Availability and backup models.

 

  • 100% Reliability - Very much impossible
  • Every system will have failures and lessons to fix
  • AI intelligence can also fail more than human intelligence
Keep Thinking!!!


March 25, 2025

This reddit comment has been picked up by Google's AI

"Google lists mixing 1/8 cup of non-toxic glue with your pizza sauce to help the cheese stick and add extra tackiness." - Ref - Link


Comment
by from discussion
inPizza


This reflects the state of Ethical AI Adoption

Keep Questioning!!!

March 24, 2025

AI Calories Scam

  • Near Pose - X Calories
  • Far Pose - X/2 Calories
  • Side Pose - 3X Calories



Ref - Link

Keep Thinking!!!

March 23, 2025

Underappreciated Things in Life

To all IT professionals working within rigid pyramid structures, where growth is linear and competition is often the currency of progress

Forgive the competition. Celebrate your life. There are countless underappreciated silent heroes in this sector.

  • Saying yes to align with the team, even when your views differ

  • Doing your work diligently without seeking recognition or visibility

  • Choosing forgiveness when you could easily call out someone's mistakes

  • Solving problems quietly, even when there's no direct reward or acknowledgment

  • Staying away from visibility politics, yet remaining silent and dignified

  • Taking time to learn deeply, rather than rushing to compete

  • Balancing your own views while adapting to collective patterns

  • Being patient enough to accommodate, even when others are agenda-driven rather than value-based

  • Sensing narratives and intent clearly, yet stepping away gracefully once you’ve connected the dots

Keep Going. Your quiet strength matters. 🙏

March 19, 2025

What is AI :)


Many times truth can be expressed in simple words :)

 Keep Thinking!!!

March 13, 2025

AI products in Healthcare, Hard fitment

 


Ref - Link

Keep Questioning!!!

Prompt Engineering - AI Vibes - Song with Lyrics and Music :)

[Verse]

Learning AI every day
Words and lines but in a new way
Teaching prompts to obey
Let's do this come what may

[Verse 2]

Lines and codes like a game
Every prompt should have a name
Crafting questions to be tame
Jumping into this no shame

[Chorus]

Prompt engineering
Creating everything
Generation accelerating
AI minds syncing

[Verse 3]

From models to output bright
Leading bots to give insight
Words aligned just right
Artificial lights ignite

[Verse 4]

Tune your prompts to sing
Every thought can bring a spring
Questions with a new zing
AI’s potential we'll bring

[Bridge]

Every prompt a spark
Lighting up the dark
Generation's mark
Begin that creative arc

Keep Going!!!

March 11, 2025

How AI will eat jobs, things which I have noticed so far.

Case #1 - Large Investment Banking Company

  • Created there own LLM to help developers to speed up with coding which increased productivity
  • Because of new LLM, they don't want to hire new people and existing people absorbed the new work 

Case #2 - Product Based

  • Reduced the offshore strength from 15 to 08, soon they are abt to reduce it to 05
  • Paid AI tool for all documentation purpose.

Case #3 - Cloud team

  • Cloud team able to manage the same work with only 30-40% of previous employee count 

Key notes from post -  How AI will eat jobs, things which I have noticed so far.

Keep Thinking!!!

March 07, 2025

❌ Increased Bugs and Defects

Some CTOs observed that aggressive GenAI adoption led to higher defect rates and an increased support burden post-release.

Here's a simplified view:

  • ✅ GenAI-First CTO + Trained Team + Established Best Practices = Productivity
  • ✅ GenAI-Ready CTO + Trained Team + Piloted Projects = Stability
  • ❌ GenAI-Aware CTO + Aggressive GenAI Adoption + AI-Aware Team = Chaos

Ref - Link



Keep Going!!!

March 06, 2025

My Experience and Ways of Working with Gen Z Peers

After a long time, "Dude" and "Bro" have made their way back into calls.

My Approach

When it comes to working, I tend to rely on the basics — focusing on a more collaborative approach. Instead of pushing hard on deadlines, I think about how I would solve a problem myself and use that mindset to guide others.

Managing Challenges

Every day brings a new set of challenges. We are constantly racing against time versus quality. There are always different solutions, but on a personal level, how do I ensure I don't burn out?

For me, it comes down to knowing my work, staying open to learning, and balancing outcomes.

Working with Others

When collaborating with a co-worker or junior, I make it a point not to simply hand out instructions like "do XYZ" or "complete ABC."
Many times in my own experience, I’ve only been given instructions — "do this, do this."
But my style of execution is more like: "If I were to do this, how would I approach it?"

Balancing Time and Quality

Rather than passing along time pressure, I try to share ideas about what we can realistically accomplish within a given timeframe. This helps us make trade-offs between time and quality.

Time is important.
But quality always speaks above everything else.

It's tricky to strike the right balance, ensuring the output meets the bar without putting too much pressure on yourself or the team.

Building Trust

Within the team, cultivating a culture of trust is key.
It's not about rolling up your sleeves for everything, every moment, every hour.

It’s about doing the best you can, without blocking others or creating unnecessary pressure.
Be clear on what you want to do and how you plan to achieve it.

Unless you have clarity on how something can be done in limited time, just assigning it as a task adds more pressure.

Collaboration becomes even more important under intense pressure.
It should never be reduced to one-way communication like, "do this, do this."

"Collaboration under pressure is not about commands — it's about clarity, trust, and shared perspectives"

Keep Thinking!!!


75 mph Tesla crash occurred while Autopilot

 


Keep Thinking!!!

March 04, 2025

AI Pricing - Microsoft cuts data centre plans and hikes prices in push to make users carry AI costs

 Pricing by Value and Services

  • For Model Providers: - Pricing is driven by token count, model usage, and infrastructure costs. As AI workloads scale, operational expenses push providers to adjust usage-based pricing.

  • For Enterprise Solutions: AI-powered features are now premium add-ons, with rising prices for AI services like Microsoft Copilot. These are strategically packaged to monetize AI as a high-value layer on top of existing products.

  • For Customers: They experience improved productivity but face significantly higher costs, especially in enterprise subscriptions where AI is bundled as an extra.

  • Key USP: The core value proposition is positioning AI as a high-value productivity tool that enhances workflows, automates tasks, and unlocks efficiency gains.

  • What’s coming next:
    Expect tiered AI feature offerings across products to maximize adoption while segmenting the market:

    • 🟢 Basic: Entry-level, limited AI capabilities (possibly free or low-cost).
    • 🟡 Premium: Advanced features focused on team productivity.
    • 🔵 Professional: Full-featured AI, enterprise-grade tools, customization, and priority performance.


Keep Thinking!!!

March 03, 2025

By 2026, AI Code > AI Code + Human Input / Iterations

 


Keep Learning!!! 

March 01, 2025

Knowledge is Cheap, but Focus is Expensive!

 Want to be productive today? It’s not about working long hours or collecting shiny accolades. True innovation doesn’t come from:

❌ More hours worked
❌ Star ratings on a project
❌ Endless hackathons
❌ Tech talks

With so much knowledge and code readily available, real impact comes from:

✅ Working with a great team
✅ Collaborating effectively
✅ Iterating and improving
✅ Failing fast and learning
✅ Solving smaller, meaningful problems

Instead of chasing a grand vision, start building—step by step.

Keep thinking. Keep solving. Keep moving forward.!! 

February 25, 2025

AI-Friendly Before AI-First: GCC Perspectives

In a recent conversation with my ex-boss, we explored some of the unique dynamics of Global Capability Centers (GCCs). One key takeaway: a company must be AI-friendly before it can become AI-first.

Alignment Starts with Initiatives, Not Just ROI

Organizations often begin their AI journey through initiatives rather than immediate ROI-driven motives. There might be AI talent within the team, but project priorities shape what gets implemented. As a consultant, I’ve seen that internal teams possess strong capabilities but are often bandwidth-constrained. They will evaluate, challenge, and probe external perspectives, yet their ability to execute depends on time and focus.

The Role of GCCs: Delivery vs. Innovation

GCCs can function in multiple ways—either as pure delivery centers catering to regional project needs or as innovation hubs driving transformational change. The distinction is crucial because execution models differ significantly.

Innovation vs. Execution: The Long Game of AI

Project success, project innovation, and project vision are all distinct. A project doesn’t end when it goes live; it evolves. AI and data-driven products thrive on iteration—data quality improvements, model refinements, customer feedback loops, and continuous enhancement. The real differentiator isn’t just building and shipping—it’s about creating lasting impact.

Keep Going!!!

February 24, 2025

Growing Better in Your Perspective, Not in Comparison

Career is Not:

The competition challenges individuals to prove their relevance, contributions, and visibility. It can become a cycle of constantly demonstrating skills, communication, and expertise to outshine others in a highly competitive landscape. The relentless pursuit of visibility creates a dynamic where comparisons become inevitable, even when the differences are as distinct as apples and oranges. We find ourselves not only competing with direct peers but also with colleagues across various divisions, all striving to be recognized and make a meaningful impact.

Career Is:

Take time to build your perspectives and focus on what you can do during your peak years of good health and availability. A career is more about experience and shaping what truly makes you happy. It’s a marathon, not a sprint - plan your journey in phases and balance your priorities.

"Growth is not measured by how far ahead you are of others, but by how deeply you understand yourself and how intentionally you shape your journey."

The Experimenter’s Mindset: Focus, Iterate, Persist!

  • Productivity = Focused Time
  • Ideation = Aha! Moment + Iteration
  • Right Idea + Confidence = Realization
  • Don’t stop experimenting just because you haven’t learned everything.
  • Some fundamentals and assumptions will evolve as you learn from mistakes.
  • Persistence > Time / Data / Needs / Tech Perspectives
  • Success = Sticking to your idea despite constraints!
Keep Going!!!


February 16, 2025

How My Days Go These Days – AI Advisory / Consulting / Strategy

  • Code for a few hours, and develop a solution in mind.
  • Attend meetings to align with the vision.
  • Build a structured solution approach.
  • Revisit and map your domain experiences.
  • Balance Build fast vs. Fail fast identify red flags.
  • Add a layer of insights.
  • Test your solution, and integrate different perspectives.
  • Some tasks run in parallel, others are sequential.
  • Even when offline, the solution keeps running in your mind.
  • Every paper, resource, or discussion sparks new ideas.
  • Manage time between meetings, deep thinking, reading, and coding.
  • Everything adds up incrementally—failures translate into new perspectives.
  • Be selective - pick and choose the right opportunities.
  • 10 hours or 15 hours - doesn’t matter. Quality over hours.
  • Happy to Work Remotely/Freelance - No Time for Pollution, Traffic, or Office Gossip
  • Learning thrives on diverse perspectives - what you learn, experiment with, research, and intuitively connect.
Keep Learning!!!

February 12, 2025

🚀 The Experimenter’s Mindset: Focus, Iterate, Persist! 🔑

  • 🚀 Productivity = 🎯 Focus Time
  • 💡 Ideation = 🤯 Aha! Moment + 🔄 Iteration
  • ✅ Right Idea + Confidence = 🎉 Realization
  • ❌ Don’t stop experimenting just because you haven’t learned everything
  • 🔄 Some fundamentals & assumptions will keep evolving as you learn from mistakes
  • 🌍 Tag along with the ecosystem + 📚 Courses = 🔥 Motivation
  • 💪 Persistence > ⏳ Time / 📊 Data / 🎯 Needs / 🛠️ Tech Perspectives
  • 🏆 Success = Sticking to your idea despite constraints! 🔑✨

 Keep Experimenting!!!

February 11, 2025

With GenAI, does Deepwork become Quick Work?

With GenAI tools, iterations, and idea generation happen naturally at a faster pace. Design, solutioning, and iterations become much quicker.

However, there are potential long-term impacts with surface-level learning:
1️⃣  The natural trial-and-error learning process gets shortened
2️⃣   The ability to evaluate information objectively is compromised due to shorter attention spans
3️⃣   The depth of historical understanding suffers when complex topics are reduced to simplified summaries
4️⃣  Shortcuts often come with trade-offs—what we learn quickly, we may forget just as fast if depth is lacking

👉 Are we trading deep understanding and human reasoning for speed?
👉 Should we slow down and give complex problems the time and focus they deserve?

Keep Thinking!!!

February 02, 2025

DeepSeek's Culture is Secret to Success

Good Read from Post

DeepSeek's Culture is Secret to Success

Key Lessons from post

  • Research groups are formed based on specific goals, with no fixed hierarchies or rigid roles
  • Everyone has unique experiences and comes with their own ideas
  • There are no weekly reports, no internal competitions that pit employees against each other
  • We need people who are extremely passionate about technology, not people who are used to using experience to find answers. Real innovation often comes from people who don't have baggage

Pick what you can connect with and Keep Going!!!

January 31, 2025

January 29, 2025

Interviews vs Perspectives

Happy to see the discussion encouraged the candidate to explore new perspectives.


The interview is not about pass or fail; it's an opportunity for meaningful discussion and the exchange of ideas.

Happy Learning

January 28, 2025

GenAI Quality: Beyond the Demo Effect

1. Demo ≠ Production Quality

  • Real-world performance matters more than showcases
  • Focus on consistent, reliable results

2. Benchmark-Driven Validation

  • Standardized performance metrics
  • Comprehensive testing scenarios
  • Regular evaluation cycles

3. Strategic Speed

  • Quality over frequency
  • Data foundation first
  • Systematic experimentation

4. Data Quality -First Architecture

  • Quality data infrastructure
  • Robust validation pipelines
  • Continuous data improvement

5. Evidence-Based Development

  • Model comparison frameworks
  • Data-driven decisions
  • Measurable improvements
Keep Learning!!!

January 24, 2025

Why Startups progress well with GenAI Solutions

My perspectives



  •  It’s not about solving the problem instantly but gaining better clarity and progressively moving closer to the solution.
  • The difference between a big company and a startup is that in a startup, you tackle such problems multiple times, discuss them repeatedly, and prototype extensively.
  • In my view, it’s not just about finding the solution; it’s about engaging in discussions, gaining perspectives, prototyping, and solving iteratively. This process leads to innovative solutions rather than adopting a binary stance of zero or one.
  • There’s no single way to solve these challenges. It’s about the approach: Are we gaining perspective? Are we taking a step forward? Is the problem solvable? How do we pivot and consider different angles?
  • This iterative process is the essence of learning—not just limiting ourselves to Boolean states of zero and one.
  • "Innovation comes from persistent iteration, not instant perfection."

Happy Learning!!!

January 20, 2025

Experimentation, Ownership, and Continuous Learning in Tech

Only certain things we learn through experimentation will provide a clear perspective. At least you have an intuition—it may work, or it may not.

Work in databases, machine learning, or deep learning requires conducting a certain number of experiments to be sure of what works and what doesn't. Of course, learning in these areas is ongoing and continuous.

Ownership is not just about having something without having done it. Ownership is more about having built a certain number of things and gathered the experience so you are able to own it because you know how to do it. When it's not a process that governs things, it's the people with experience and perspective who build better things.

Sometimes, I feel that the term "ownership" is very overloaded. Being a full-stack developer or a jack-of-all-trades requires only a certain amount of fixed time, and you cannot be good at everything. For example, knowing how to fine-tune an index or a model, understanding different types of prompts, context latency, and conducting various experiments.

I think we need to be very clear about learning. Don't just rely on certifications, working on one project, or having some perspective. It's more than just keywords, jargon, and perspectives. Undertaking a good number of experiments, embracing failures, and gaining diverse perspectives will give you the intuition to deal with ambiguity when facing the next set of problems.

#TechLeadership #ContinuousLearning #Experimentation #MachineLearning #DeepLearning #Ownership #FullStackDeveloper #DataScience #TechGrowth #ProblemSolving #Intuition #CareerDevelopment #SoftwareEngineering #SkillBuilding

Keep Going!!!

January 14, 2025

Agent Driven Dashboards - Business Story aligned to User Questions

  • Agents will give Dashboards a voice as they will for data
  • Data is static in dashboards today and with Agents suddenly will tell stories



Reactive and Proactive work with Agents

Keep Exploring!!!

Optimizing AI Models for Low Latency: Techniques and Best Practices

GenAI product building has three key components: consistency, accuracy, and latency. These components are crucial and should be implemented in stages:

  • Build a solid data foundation.
  • Develop an approach that ensures consistent results.
  • Ensure the results are accurate.
  • Optimize for latency.

In every real-time implementation:

Once consistency and accuracy are achieved, latency plays a key role.

Techniques for Low Latency Optimization

After achieving accuracy, focus on these techniques to optimize latency:

  • Semantic Cache Implementation for similar questions.
  • Disable Logging in the production environment.
  • Database Optimization: Ensure proximity to the model serving region.
  • Multi-Prompt Steps in messaging.
  • Low Latency Models: GPT-4o-mini.
  • Text Optimization: Balance cost and performance (e.g., Claude 3.5 Sonnet).
  • Complex Reasoning: Use Gemini 1.5 Pro (gemini-1.5-pro).
  • Optimize Values: Fine-tune input tokens, output tokens, temperature, and max tokens.
  • Prompt Optimization: Leverage model context support.
  • Utilize Larger Context Windows: Implement multitask prompts.

Infrastructure and Cost Considerations

  • Quantization Effects: Using reduced precision (e.g., int8 instead of float32) may introduce minor, predictable delays due to quantization and dequantization steps.
  • Fine-Tuned GPT Models: Require high-quality data for implementation.

Top 5 Practices to Master GenAI Product Development

  • Solve the GenAI Aspect: Focus on prompt engineering and model versioning.
  • Scale for Multiple Formats: Use prompt catalogs and maintain prompt versions.
  • Optimize for Low Latency: Implement caching for key data, reuse existing data, and leverage retrieval-augmented generation (RAG) over documents, graphs, and summarized data.
  • Ensure Accuracy Across the Board: Preprocess, normalize, and organize data effectively for the use case, using RAG for enhanced results.
  • Focus on Safe Usage: Enforce guardrails to ensure responsible and secure deployments.

Entry of Agents

  • Once the foundational aspects are achieved, you can migrate to an agentic approach. Ensure robust controls for seamless transitions.

Personal Note

My focus has been on solving and solutioning diverse product use cases. Being an independent consultant has allowed me to concentrate on solutioning aspects of GenAI, LLMs, unstructured data, prompt optimization, and latency reduction. It’s a tradeoff between working on focused areas versus engaging across different layers of implementation.

Happy to collaborate if you are working on GenAI product building or Enterprise GenAI adoption!

Happy Learning!!!


January 13, 2025

AI Engineers will replace Human Engineers

 


The time when humans are using social media and becoming more dumb and AI makes you zombies

Keep Going!!!

January 08, 2025

Bridging the Skills Gap: Rethinking Education and Workforce Strategies in the Age of AI Agents

 $20 Code Agent Capabilities vs. Fresher Skills:

A $20 code agent will be provided, which individuals will need to run, test, and deploy. However, the skill gap between a fresher and the capabilities of this agent will be significant. This raises the need for a strategy to bridge this gap effectively.

Lack of Plan B in the Education System:

Our education system does not currently have a viable Plan B to adapt to such technological advancements. What additional measures can we take beyond utilizing agents to foster innovation? This is a critical area that requires rethinking and redesigning educational priorities.

Agents and Job Creation:

While agents are expected to enhance productivity, an important question remains: What new jobs will emerge as a result of this shift? Do policymakers and industry leaders have a clear vision or roadmap for these new opportunities? Ensuring that policies address this need for job creation is essential.

Keep Thinking!!!

January 02, 2025

How to Survive the 0-1 Journey as an AI Strategist, Solution Architect, and Fractional Product Manager

  • Authentic and use your past experience, Patient to details plus Passion for Solving User Problems: Approach challenges with authenticity and genuine perseverance. Always keep the end-user at the heart of your solutions.
  • Conviction to Stand by Your Roadmap: Have the courage to defend your vision and stick to the plan despite challenges.
  • Confidence While Working with Ambiguity: Draw inspiration from your past experiences to navigate uncertain situations effectively.
  • Business, Domain, and Technical Skills: Cultivate a balance of these skills and always think from the customer’s perspective.
  • Persistence + Patient thinking with clarity + Little Passion for Working Through the Details: True progress happens on the ground level. High-level ideas at 30,000 feet won’t get products shipped; you need to dig in and make them a reality. This is where consulting versus startup mindsets can diverge significantly.
  • Ability to Collaborate with Remote and Distributed Teams: Adaptability and strong communication skills are crucial when working across diverse and distributed teams.
  • Master Reading, Writing, and Speaking: These three skills are essential for success. Embrace them as your lifelong allies.
  • Connect ideas and inspirations, Read Extensively and Curate Ideas: Read a variety of materials, and leverage quality ideas from your bookmarks or saved resources.
  • Don’t Reinvent the Wheel, but Do Invent Something: Build upon existing solutions when appropriate, but strive to create unique innovations where needed.

Keep Going!!!

Product Pitch Discussions - What Customers Look for in GenAI Products

Based on my observations from participating in client product pitch calls:

Client counterparts, such as the CTO or Head of Data Science, are often technically knowledgeable and savvy about the product and solution. Beyond understanding the product, discussions often delve into detailed questions like the number of models used. While they typically grasp the overall approach and flow, questions about specific models and data usage demand careful and precise responses. Here’s what to keep in mind:

Be Transparent About Shortcomings: It's vital to be upfront about any shortcomings in existing solutions. While most of us are technically proficient and familiar with tools and workflows, clients highly value honesty and clarity.

Custom Benchmarks Are Key: Preparing domain-specific benchmarks is crucial. This demonstrates how your solution aligns with and addresses specific business needs.

Addressing Issues and Challenges: Highlight the number of issues or challenges you've successfully resolved. This underscores the robustness and reliability of your approach.

Focus on Metrics: Consistency, accuracy, and relevance are the key metrics to emphasize. These reflect the reliability, pertinence, and latency of the solution. Convey that no single model can solve every domain use case; solutions must be holistic and tailored to the domain.

Incorporate Real Domain Experience: Embedding domain expertise into the product makes it easier to outperform competitors and deliver exceptional value.

LLM Benchmark Dashboard: Having a custom dashboard ready is transformative. It should highlight functionality, responsibility, adoption, and usage, giving clients an immediate view of the solution's capabilities.

Stay Ahead with Features and Workflows: Ensure your product offers features and workflows that provide real, tangible value to the client.

Hands-On Work and Proven Benchmarks: Demonstrating hands-on work and showcasing proven benchmarks are always more persuasive to clients. They prefer tested, reliable solutions that save time and effort while aligning with their goals.

This experience is very identical to my experience with the CTO of a US-based specialty Retailer

I presented a ReimaginedWorkflow for: Customers, Support analysts, Procurement teams, Digital Asset Management

GenAI-powered workflows for

  • New engagement models
  • Innovative interactions
  • Blending creative solutions

Proven approach / Quick time to market / Iterative experiments are they key aspects that people trust your approach.

Having participated in the 0-to-1 journey, I've learned that authenticity and transparency are the foundations of success. Efforts aligned with a clear vision will always pay off.

GenAI and cybersecurity for leaders: We are launching a quick one-hour course. In a way, we would love to give it away for free for the first 100 users. If you are interested, please share your feedback.

Keep Going!!


January 01, 2025

Thank You and Looking Ahead to 2025!

To all our customers, clients, and friends—thank you for your tremendous support throughout 2024.

As we step into 2025, I’d like to share my wishlist for GenAI Product Development and Responsible AI Adoption:

Promoting Positive AI Impact:

  • Ensuring fair compensation for creators whose content is used in training AI models.
  • Leveraging AI to bridge gaps in education and healthcare access.
  • Accelerating infrastructure development through AI-driven innovations.
  • Enhancing employability by creating AI-driven solutions to upskill individuals.
  • Fostering the next generation of knowledge workers and problem solvers.

Establishing Regular Fair Use and Audit Policies:

  • Implementing focused regulations for monitoring and auditing GenAI adoption to ensure long-term societal benefits.
  • Prioritizing ethical considerations and purposeful implementations over profit motives, with clear timelines.
  • Establish strict controls to prevent unethical usage and hold model creators accountable for adverse AI impacts.
  • Addressing concerns around AI companionship and mitigating risks of digital addiction.

A Personal Milestone

2024, we reached an exciting milestone—50 students enrolled in my course! It was such a proud moment to receive an appraisal from my ex-boss about the course.

A heartfelt thank you to everyone who enrolled and provided valuable feedback. My network is my greatest support, and I deeply appreciate all the conversations with customers and potential clients.

Since its launch, students have collectively viewed 4,175.33 minutes of lecture content—an incredible achievement that motivates me to keep improving.

Wishing Everyone a Successful, Safe, and Happy 2025!

Here’s to a year of success, safety, productivity, and joy!

Self-driving fridge, hit by self-driving Waymo, recorded by self-driving Tesla

 

 




 Keep Going!!!