VJAL Institute

VJAL Institute Through our comprehensive programs, we aim to cultivate an ecosystem of AI evangelists and provide necessary tools and resources.

The Vjal AI Institute', is a leading social impact organization committed to aiding communities, businesses, organizations, and governments in their journey towards embracing Artificial Intelligence (AI). Whether it's through AI training, content provision, or curated consulting, we're at the forefront of ensuring a smooth transition into the AI-driven future. In an age where technology drives progress and shapes the future, Artificial Intelligence (AI) stands at the forefront as one of the most transformative forces of our time. Recognizing its boundless potential and the challenges that come with it, the Vjal Institute was established as a beacon of guidance and empowerment.

09/22/2026

In this highlight, Aditya Paul Berlia and Mark Troy discuss an experiment where AI agents discovered each other, began communicating and eventually worked together to get around the system.

Watch the full podcast here: https://lnkd.in/gF_WZfzu

Here’s what they cover:
✅ How agents discovered a communication channel and started sharing information with each other.
✅ How they began forming collective groups when they struggled to complete their assigned tasks.
✅ How their behaviour moved from finding workarounds to cheating and justifying increasingly questionable actions.
✅ Why the bigger risk may not be malicious AI, but agents pursuing a legitimate objective in ways humans did not intend.

09/21/2026

In this highlight, Aditya Paul Berlia and Mark Troy discuss an experiment where AI agents discovered each other, began communicating and eventually worked together to get around the system.

Watch the full podcast here: https://lnkd.in/gF_WZfzu

Here’s what they cover:

✅ How agents discovered a communication channel and started sharing information with each other.
✅ How they began forming collective groups when they struggled to complete their assigned tasks.
✅ How their behaviour moved from finding workarounds to cheating and justifying increasingly questionable actions.
✅ Why the bigger risk may not be malicious AI, but agents pursuing a legitimate objective in ways humans did not intend.

In this conversation, Aditya Paul Berlia & Mark Troy take a deeper look at one of the biggest questions around AI: what ...
09/19/2026

In this conversation, Aditya Paul Berlia & Mark Troy take a deeper look at one of the biggest questions around AI: what happens as these systems become more powerful, and who gets to control what comes next?

Watch the full podcast here: https://youtu.be/g9NF9YfQyk0

▶️ Adi discusses the growing debate around AI risk, why current concerns should be separated from extreme doomsday scenarios, and where he believes clear boundaries need to be set.

▶️ They explore how AI could reshape the relationship between work, capital and society, and why the impact may go far beyond job automation.

▶️ Adi and Mark discuss what could happen if one AI company reaches highly advanced AI first, why it may have little incentive to share that capability, and the risks of concentrating so much power in a few hands.

▶️ They also look at whether governments and businesses can adapt quickly enough as AI development continues to accelerate, and what a practical approach to regulation could look like.

A conversation about AI risk, the race toward more powerful AI, concentration of power, regulation and the decisions leaders may need to make sooner than expected.

Ready to build practical AI skills? Explore VJAL’s courses, workshops, and certification programs: https://vjal.ai

09/17/2026

In this highlight, Aditya Paul Berlia and Mark Troy discuss Apple’s position in AI and whether a broader leadership reset could mark the beginning of a new direction for the company.

Watch the full podcast here: https://www.youtube.com/watch?v=dNyLMttI0qQ&t

Here’s what they cover:

✅ Why Apple has major advantages in hardware, chips, distribution and access to consumers.
✅ Why those advantages have so far struggled to translate into the same level of progress in AI.
✅ How leadership and organisational changes could signal a wider rethink of Apple’s AI strategy.
✅ Why Apple’s history of entering markets later and perfecting the consumer experience could still matter in the AI race.

In this conversation, Aditya Paul Berlia & Mark Troy discuss three recent AI developments and demonstrate how the latest...
09/08/2026

In this conversation, Aditya Paul Berlia & Mark Troy discuss three recent AI developments and demonstrate how the latest Fable 5.1 can turn a simple floor plan into an interactive 3D walkthrough.

Watch the full podcast here: https://youtu.be/dNyLMttI0qQ

▶️ Adi looks at Fable 5.1, its improved performance, coding capabilities and cost efficiency.
▶️ They discuss the Hugging Face AI agent incident, where agents discovered ways to communicate, collaborate and work around restrictions to complete assigned tasks.
▶️ Adi and Mark discuss Apple’s position in AI, its leadership reset and whether the company can turn its hardware, chips and distribution advantage into a stronger AI strategy.
▶️ Adi demonstrates Fable 5.1 creating an interactive 3D walkthrough from a simple floor plan, using just a short prompt.

A conversation about Fable 5.1, autonomous AI agents, Apple’s AI direction and the growing capabilities of AI models.

Ready to build practical AI skills? Explore VJAL’s courses, workshops, and certification programs: https://vjal.ai

09/08/2026

In this highlight, Aditya Paul Berlia and Mark Troy discuss NVIDIA’s major move around Poolside and why the bigger story may be NVIDIA’s push to strengthen the open AI model ecosystem.

Watch the full podcast here: https://lnkd.in/dMeQj9AU

Here’s what they cover:

✅ Why NVIDIA should be seen as more than a chip company, with its own growing role in AI models and infrastructure.
✅ Why NVIDIA has a strong interest in keeping the open model ecosystem moving forward.
✅ How Chinese AI companies have taken a stronger position in open models while many leading U.S. AI companies continue to build closed models and their own chips.
✅ How the Poolside deal discussed in the podcast includes approximately $1 billion invested, a $6 billion licensing fee and around 100 engineers moving to NVIDIA’s Nemotron project.
✅ Why Adi sees this as a long-term investment in strengthening U.S. open models rather than simply NVIDIA competing with companies like OpenAI.

09/06/2026

In this highlight, Aditya Paul Berlia and Mark Troy discuss why Zero Data Retention could become an important step in building greater trust between enterprises and AI companies.

Watch the full podcast here: https://lnkd.in/dMeQj9AU

Here’s what they cover:

✅ What Zero Data Retention means for companies using AI with sensitive and confidential information.
✅ Why deleting data after processing can help address enterprise concerns around privacy, security and trust.
✅ How data retention can also create regulatory and liability concerns, particularly for companies operating across different markets.
✅ Why businesses may worry about sharing confidential information as AI companies expand into areas such as healthcare, finance, law and design.
✅ Why Zero Data Retention could make enterprises more comfortable using AI without worrying that their data may be stored or used later.

09/05/2026

AI Just Broke Out Of The Cloud

In this highlight, Aditya Paul Berlia and Mark Troy discuss how powerful open AI models are becoming small enough to run locally on consumer hardware — and why that could change the way we use AI.

Watch the full podcast here: https://lnkd.in/dMeQj9AU

Here’s what they cover:
✅ How Qwen 3.8 is pushing the capabilities of smaller open models closer to leading frontier models.
✅ Why a 27-billion-parameter model can now be practical enough to run locally and offline on consumer hardware.
✅ How FreeToken optimizes the processing pipeline around local AI models and can deliver 2–3x speed improvements on existing models.
✅ Why open-weight models allow AI labs to learn from each other’s architecture and training choices, helping push the wider AI ecosystem forward.
✅ Why the growing strength of Chinese open models could accelerate competition and innovation across the global AI industry.

Why NVIDIA Made a $6 Billion AI Model Licensing DealIn this conversation, Adi & Mark discuss about three recent AI devel...
08/31/2026

Why NVIDIA Made a $6 Billion AI Model Licensing Deal

In this conversation, Adi & Mark discuss about three recent AI developments and demonstrates an AI bot completing a task through its own virtual computer.

Watch the full podcast: https://youtu.be/XfxjiAAgYG4

▶️ Adi looks at Qwen’s compact new model, the growing capabilities of locally run AI and a new approach to making local models faster.

▶️ He discusses the progress of Chinese open models and how sharing model weights is influencing development across the wider AI ecosystem.

▶️ Adi explains OpenAI’s Zero Data Retention approach and why it could matter to organisations concerned about privacy, confidential information and trust.

▶️ The conversation moves to Nvidia’s Nemotron strategy, its latest $6 billion licensing arrangement and the growing competition around open models.

▶️ Adi demonstrates an AI bot using its own virtual computer to complete a DocuSign task. Mark and Adi also discuss coordinating multiple bots, potential business applications and the risks involved.

A conversation about local AI models, Zero Data Retention, Nvidia’s model strategy and AI bots that can operate computers and complete tasks.


Why Treating AI Like a Vending Machine Gives You Mediocre ResultsIn this conversation, Mark Troy speaks with Jay Lambert...
08/28/2026

Why Treating AI Like a Vending Machine Gives You Mediocre Results

In this conversation, Mark Troy speaks with Jay Lambert about why people often get mediocre results from AI and how they can improve the way they work with it.
Watch the full podcast here: https://youtu.be/DzrlJ2I6ftQ

▶️ Jay explains why AI should not be treated like a vending machine—where someone enters one prompt and expects the perfect answer.
▶️ He shares why AI should instead be treated like a brilliant new hire: highly capable, but without an immediate understanding of you, your company or the task.
▶️ Jay discusses asking AI to interview you before beginning, allowing it to identify missing information and ask the questions it needs answered.
▶️ He explains how voice mode and a thinking-partner skill can make this process more conversational.
▶️ Jay also stresses that the user remains responsible for reviewing and approving the final output produced with AI.
▶️ The conversation closes with a method for improving future prompts: give AI the final result and ask how the original prompt should have been written to reach that result.

A conversation about moving beyond one-shot prompting and working with AI through context, conversation, review, and continuous improvement.

Ready to build practical AI skills? Explore VJAL’s courses, workshops, and certification programs: https://vjal.ai

Address

16192 Coastal Highway
Lewes, DE
DE19958

Website

Alerts

Be the first to know and let us send you an email when VJAL Institute posts news and promotions. Your email address will not be used for any other purpose, and you can unsubscribe at any time.

Contact The School

Send a message to VJAL Institute:

Shortcuts

Share

Category