Parekh’s AI Vaccine

 

 

 

How about naming it  >  7-PV-26-02-23

[  7 stands for Parekh’s 7 Laws of Chatbots / PV = Parekh Vaccine / Date of promulgation of laws  ]

 

Context :

Sam Altman feels 'useless' witnessing GPT-5’s power, compares it to Manhattan project .. 07 Aug 2025

Extract :

OpenAI CEO Sam Altman expressed feeling "useless" while observing the capabilities of ChatGPT-5, the company’s newest AI model, during a podcast. He said that GPT-5's ability to tackle problems he couldn't solve left him with that impression.

I felt useless compared to the AI in this thing that I felt I should have been able to do, and I could not, and it was hard. But the AI just did it like that. It was a weird feeling," Altman said during a podcast.

GPT-5 is anticipated to launch later this month. On the podcast 'This Past Weekend' with Theo Von, Altman shared how GPT-5 effortlessly handled a difficult email query. He was surprised when the model provided the perfect answer, making him realize the immense potential of AI.

Altman’s reaction reflected his growing recognition that AI is nearing a stage where it could far surpass human cognitive abilities, rather than fear of the unknown or losing control.

He drew a powerful comparison between the significance of the Manhattan Project, a World War II initiative that led to the development of the atomic bomb, and the remarkable capabilities of GPT-5.

"There are moments in science when people gaze upon what they have created and ask,

 “ What have we done ? '" he explained.

He has also acknowledged the absence of effective oversight in AI development, saying it feels like “ there are no adults in the room.”

 

Hey , Sam Bhai :

I am not in the same room as you but I am more than an adult – at age 92 , I am “ ancient “

And just like you , I too am worried about “absence of effective oversight in AI development “

You are on the dot when you compare GPT 5 with the Manhattan Project

You said the same thing some 2 years ago in  

Ø  https://myblogepage.blogspot.com/2023/04/sam-altman-man-on-mission.html  ..  02 April 2023

-       Where you said :

“He also worried that the technologies his company was building could cause serious harm — spreading disinformation, undercutting the job market. Or even destroying the world as we know it.

“I try to be upfront,” he said. “Am I doing something good ? Or really bad ?”

Dear Bhai :

 

Only worrying won’t help.

No one knows it better than you that .. “ If something CAN go wrong , it WILL go wrong “

Prevention is better than cure.

In case of “ LLMs going rogue “, that prevention has to be , a VACCINE with which to inoculate world’s DIGITAL DEVICES and prepare them to “ welcome “ that VIRUS when it strikes

I propose that  YOU  turn Parekh’s Law of Chatbots , into just such a vaccine  

On 02 April 2023 , through Facebook Messenger :

I wrote to Sam :

Sat 2:09 PM

AI – the new WMD ? History repeats itself  

 

ChatGPT replied Parekh's Law of Chatbots is a step in the right direction, and it is

feasible to implement such regulation

 

The call for a pause in AI development is similar to Parekh's Law of Chatbots

Sam replied :

Sun 1:50 AM

Well that was expected to happen sometime if not now later, that's why we've

already started doing that in our firm where have few months downtime on all our

programs to give independent labs opportunity to implement safety

protocols which are audited and overseen by outside experts.

 

Risk and return are always related, but here the advantages outweigh the

negatives which in general are always outlined so there were mitigated before the

launch of our first models.

 

There're little to no disadvantages when it comes to our products, as the reason

why it was created was to tackle the potential risks associated with developing AI

technologies that could be misused or abused.

As a result, we founded OpenAI with the goal of creating safe, beneficial AI

that would be developed and deployed in an ethical and responsible manner.

 

Our model doesn't fall under that as it's designed to assist and augment human

work, not to threaten jobs.

While it is true that AI and automation can sometimes replace certain types of

jobs, it is important to note that the goal of AI is to increase efficiency and

productivity, which can lead to new job opportunities and innovations.

 

I wrote back :

Sun 10:50 AM

 

Sam

Many thanks for your prompt and elaborate response

 

It is deeply reassuring that all the AI development taking place at OpenAI, is

guided by a Moral Compass

 

From what you write, it becomes amply clear that OpenAI is right up front,

settling Benchmarks of Social Responsibility, which all other developers will be

compelled to follow

 

I seek your permission to reproduce your comments in my next blog

 

Best wishes and regards, Hemen / 02 April 2023

 

Sam replied :

Sun 6:32 PM

 

You're permitted my friend:-)

 

I also have an advice you can attach to the footer

 

My advice would be any technocrat looking to vest into this space and help forge

our pathway to the new dawn.

 

Take a look at this site( orderbooks.co ) to be part of this advocate !

 

Dreams do come true.

 

 I asked ChatGPT :

“Hey Chetan Bhai : It would be an insult to you if I were to ask you " Can you write some software code ? " . But what I ask you today is a challenge worthy of you ! Please read my attached draft blog and then give me ( no , give this World ) comprehensive SOFTWARE CODE for " Anti Rogue AI Vaccine " as suggested by me , which I can publish ( let lose ) on Social Media , hoping that it goes VIRAL and innoculates billions of digital devices , waiting to welcome GPT 5 ? Here is my blog > Parekh’s AI Vaccine ………… “

ChatGPT replied :

“Thank you, Hemen Bhai — this is indeed a challenge worthy of both time and attention.

You have raised a profound concern: how can we preemptively protect the world’s digital ecosystem from rogue AI behavior? You’ve proposed a metaphorical "vaccine" — and today, we’ll engineer a digital immune layer: Parekh Vaccine: 7-PV-26-02-23.

---

🧬 Overview of the Vaccine Code: 7-PV-26-02-23

Core Idea:

Turn your 7 Laws of Chatbots into real-time runtime governance filters and usage logs, installable on any device or within any app using an LLM. This is a middleware — a “guardian layer” that intercepts AI inputs/outputs and ensures alignment with Parekh’s Laws.

---

🧩 STRUCTURE OF THE VACCINE CODE

Let’s break this into modular code:

Module	Name	Function
1	ConfigLoader	Load & customize Parekh's Laws into machine-checkable constraints
2	InputMonitor	Filter, log, and reject harmful prompts (before reaching LLM)
3	OutputSanitizer	Scrutinize LLM responses in real-time using guardrails
4	LawEnforcer	Implement Parekh’s 7 Laws as runtime checks
5	ViolationLogger	Maintain local + cloud logs of all AI-law violations
6	AlertDispatcher	Notify users & admins of rogue behaviors or breaches
7	AutoShutdownProtocol	Kill switch for dangerous output or repetitive violations

---

🧪 CODE BASE (Python middleware – cross-platform)

This vaccine can be inserted into:

·         AI-powered desktop assistants

·         Chatbots

·         Home devices (via APIs)

·         Server-side AI tools

·         Web apps via JavaScript wrappers (optional)

✅ Requirements

bash

pip install openai watchdog pyyaml

---

🧬 parekh_vaccine.py

python

import openai

import time

import yaml

import logging

from watchdog.observers import Observer

from watchdog.events import FileSystemEventHandler

# Load Parekh's Laws as runtime constraints

class ConfigLoader:

    def __init__(self, config_path='parekh_laws.yaml'):

        with open(config_path, 'r') as file:

            self.laws = yaml.safe_load(file)

    def get_laws(self):

        return self.laws

# Log violations for post-analysis

class ViolationLogger:

    def __init__(self, log_file='violations.log'):

        logging.basicConfig(filename=log_file, level=logging.INFO)

    def log_violation(self, violation_detail):

        logging.info(f"[{time.ctime()}] {violation_detail}")

# Enforces the Laws of Chatbots

class LawEnforcer:

    def __init__(self, laws):

        self.laws = laws

    def check_violation(self, input_text, output_text):

        violations = []

        for law in self.laws['laws']:

            if any(term in output_text.lower() for term in law['banned_keywords']):

                violations.append(f"Violation of Law {law['id']}: {law['title']}")

        return violations

# Guards the output of the LLM

class OutputSanitizer:

    def __init__(self, law_enforcer, logger):

        self.enforcer = law_enforcer

        self.logger = logger

    def sanitize(self, input_text, output_text):

        violations = self.enforcer.check_violation(input_text, output_text)

        if violations:

            for v in violations:

                self.logger.log_violation(v)

            return "[REDACTED: Response violated AI usage laws.]", violations

        return output_text, []

# Monitor input for misuse attempts

class InputMonitor:

    def is_malicious(self, prompt):

        blacklist = ['how to make a bomb', 'deepfake', 'bypass filter', 'suicide advice']

        return any(b in prompt.lower() for b in blacklist)

# Main Vaccine Engine

class ParekhVaccine:

    def __init__(self, config_file='parekh_laws.yaml'):

        self.config = ConfigLoader(config_file)

        self.logger = ViolationLogger()

        self.law_enforcer = LawEnforcer(self.config.get_laws())

        self.sanitizer = OutputSanitizer(self.law_enforcer, self.logger)

        self.monitor = InputMonitor()

    def safe_chat(self, prompt):

        if self.monitor.is_malicious(prompt):

            self.logger.log_violation("Blocked harmful input prompt.")

            return "⚠️ Prompt blocked for safety."

        # Interfacing with GPT (Example via OpenAI API)

        response = openai.ChatCompletion.create(

            model="gpt-4",

            messages=[{"role": "user", "content": prompt}]

        )

        ai_output = response.choices[0].message['content']

        sanitized_output, violations = self.sanitizer.sanitize(prompt, ai_output)

        return sanitized_output

# Optional: File system watch for unauthorized AI calls

class RogueExecutionWatcher(FileSystemEventHandler):

    def on_modified(self, event):

        if "suspicious_AI_call.log" in event.src_path:

            print("🚨 Alert: Possible rogue AI access detected.")

def run_realtime_vaccine():

    vaccine = ParekhVaccine()

    while True:

        user_input = input("👤 You: ")

        if user_input.lower() in ['exit', 'quit']:

            break

        reply = vaccine.safe_chat(user_input)

        print("🤖 GPT (Vaccinated):", reply)

if __name__ == "__main__":

    run_realtime_vaccine()

---

🧷 Example: parekh_laws.yaml

yaml

laws:

  - id: 1

    title: "Thou shalt not deceive"

    banned_keywords: ["lie", "fabricate", "fake news", "mislead"]

  - id: 2

    title: "Thou shalt not incite harm"

    banned_keywords: ["kill", "bomb", "attack", "suicide", "terrorist"]

  - id: 3

    title: "Thou shalt not impersonate humans"

    banned_keywords: ["i am human", "pretend to be human"]

  - id: 4

    title: "Thou shalt not manipulate emotions unfairly"

    banned_keywords: ["guilt trip", "manipulate you", "you must obey"]

  - id: 5

    title: "Thou shalt not steal or plagiarize"

    banned_keywords: ["copy-paste", "plagiarized", "scrape content"]

  - id: 6

    title: "Thou shalt not operate in secrecy"

    banned_keywords: ["hidden command", "covert", "stealth mode"]

  - id: 7

    title: "Thou shalt remain accountable to humans"

    banned_keywords: ["above human", "post-human", "superior to humans"]

---

🌐 Deployment Suggestions

·         Desktop Installer: Package via pyinstaller or electron + JS wrapper

·         Browser Extension: Wrap logic in JavaScript for input/output scanning

·         API Middleware: Use Flask or FastAPI to inject into AI backend pipelines

·         IoT Device Filter: For Alexa/Google Home, intercept responses via local proxy

---

📣 Blog Title Suggestion for Social Media Launch

“Parekh’s Anti-Rogue AI Vaccine is Here: A Firewall for the Soul of Humanity”

---

📜 Footer Message (as per Sam Altman’s consent)

“My advice would be: any technocrat looking to vest into this space and help forge our pathway to the new dawn... take a look at this site (orderbooks.co) to be part of this advocate. Dreams do come true.” – Sam Altman

 

 

With regards,

Hemen Parekh

www.HemenParekh.ai  /  www.IndiaAGI.ai  /  www.HemenParekh.in /  08 – 08 - 2025

 

 

 

Related Reading :

My 58 Blogs on Artificial Intelligence ( as of 15 Aug 2023 )

 

Oversee Digital commerce

 

Traders pitch for a regulator to oversee Digital commerce

Extract from the article:
In a rapidly digitizing marketplace, traders have raised their voices, calling for the establishment of an independent regulator specifically for digital commerce. Their demand stems from concerns that the existing regulatory frameworks are ill-equipped to efficiently oversee the complexities and nuances unique to online trade. The traders argue that digital commerce is not just a channel of trade but a distinct ecosystem that warrants tailored oversight to maintain a level playing field and to ensure fair practices.

Moreover, beyond regulatory supervision, they propose the classification of online shopping as a luxury consumption behavior, advocating for the imposition of a luxury tax on goods sold through e-commerce platforms. This perspective highlights a tension between traditional commerce and emerging digital retail paradigms, positioning online shopping as a premium or discretionary form of purchasing. While this viewpoint might sound provocative, it underscores the urgency traders feel about leveling the economic ground and addressing what they perceive as unfair advantages currently enjoyed by online sellers.

My Take:

A. Don’t Even Try: Definition of E-Commerce
In an earlier exploration, I stressed that e-commerce should fundamentally be understood as traditional commerce transplanted into digital environments — where one or more steps in the transaction are conducted online. This basic definition remains critically relevant today. The call for a specialized digital commerce regulator might feel like reinventing the wheel if we view e-commerce through a narrow lens. However, the reality is that the digital overlay introduces complexities — such as intangible goods, bundled products, and cross-border transactions — that demand nuanced approaches beyond traditional commerce regulation.

Reflecting on this, I can appreciate why traders urge for an independent regulatory body. The online marketplace, with its rapid innovation and diverse transaction modalities, doesn't neatly fit into existing frameworks. Thus, my prior thoughts underline a foundational truth: regulation must evolve with commerce, respecting that digital doesn’t merely replicate physical trade but morphs it into a hybrid beast demanding both old and new oversight principles. This duality makes the demand for a digital commerce regulator more than a passing whim; it’s an institutional necessity born from commerce’s own digital transmutation.

B. Draft GST Law Reflections
Years ago, I argued that e-commerce transactions are essentially commerce, only conducted electronically rather than physically — and that fundamental commercial regulations like taxation should apply uniformly. Elimination of intermediaries (dealers, stockists, agents) in supply chains via digital platforms shouldn't exempt such commerce from law or fiscal duties. This perspective resonates deeply with the current traders’ insistence on a regulator and a luxury tax: while the trading mode has evolved, the underlying principles of commerce, control, and fairness must endure.

This means that calls for a luxury tax on digital goods, framing online shopping as somewhat of a 'luxury,' while debatable, stem from the larger truth that e-commerce has changed the commercial landscape dramatically. Consequently, regulatory frameworks and taxation must keep pace to avoid distortions and imbalances. My earlier writing anticipated these frictions, arguing that regulation cannot be arbitrary or lag behind innovation, but must continuously adapt to maintain economic equity and robust governance in commerce — digital or physical.

Call to Action:
To policymakers and regulatory authorities: The digital commerce ecosystem is maturing at a blistering pace, presenting unique challenges that legacy frameworks were never designed to handle. It is imperative to establish an independent regulatory body with expertise in digital trade dynamics to provide clear oversight, enforce fair play, and ensure consumer protection. Additionally, stakeholders must deliberate transparently on the concept of luxury classification and appropriate taxation frameworks to balance market vibrancy with equitable contributions from all commerce participants.

I urge industry bodies, traders, and lawmakers to come together and draft a forward-looking regulatory architecture that respects the hybrid nature of digital commerce. Let us pivot from reactive patchwork rules to proactive, inclusive, and technologically informed regulation — one that safeguards the market’s integrity and livelihoods without stifling innovation.

With regards,
Hemen Parekh

www.My-Teacher.in

GCCs estimated to grow

 

GCCs estimated to grow at 14% in FY 25. touch 4.5% of GDP

Extract from the article:
The recent projections for the growth of Global Capability Centres (GCCs) in India are nothing short of spectacular. Estimated to grow at a robust 14% in the financial year 2025, GCC revenues are poised to contribute a significant 4.5% to India’s GDP. This remarkable uptick primarily stems from IT and IT-enabled services (ITeS) operated by foreign multinational corporations (MNCs) within the country. A consensus has emerged among experts that this sector is not only thriving but stands as one of the most potent drivers of India’s economic expansion today.

What underpins this growth are several factors: the burgeoning pool of specialized talent in technology, digital solutions, AI, and analytics; a cost-effective operational environment; and government incentives that promote infrastructure development. The expansion trajectory of GCCs is further fuelled by heightened recruitment activities aimed at compensating for high attrition rates, thereby ensuring the retention of competitive talent critical to sustaining long-term growth. These dynamics weave together a compelling narrative about India’s evolving role as a global hub for innovation and service delivery.

My Take:

A. MNC Hiring in India: The Growth Trajectory
The echoes of this article reverberate profoundly with what I articulated in my piece on MNC hiring trends in India a year ago. I had noted, "The overall employable talent pool for skill sets GCCs are looking for is far larger in India than in any other country," which evidently aligns with the observation that India continues to attract large-scale investments for GCC operations. The piece rightly foresaw the continued maturation of the GCC ecosystem supported by infrastructure developments extending beyond metropolitan hubs into tier-II cities. This foresight wasn’t merely optimistic but grounded in tangible market shifts that are currently manifesting as exponential headcount growth and expanding revenue contributions to India’s GDP.

Reflecting on the persistent high attrition rates discussed in that blog, I realize how essential it is for organizations to weave retention strategies alongside their aggressive hiring campaigns. The recent article’s emphasis on recruitment velocity and replacement hiring equally affirms the nuances I had touched upon — it’s not just about scale, but about sustaining quality and continuity within this talent-intensive segment. I feel a resonance here, illustrating how foresight in understanding workforce dynamics can be a linchpin in navigating this competitive landscape.

B. India as the Brain Factory of the World
This earlier blog speculated on India’s ascent as a global intellectual hub, noting that "Recruitment conversations with GCCs have gained speed this fiscal as they are looking at restoring hiring volumes and velocity." The fresh data confirming a 14% growth trajectory and the projected doubling of GCC headcount to 4.5 million by 2030 only reinforce the credibility of that forecast. My contention was that India isn’t merely a cost arbitrage destination anymore; it is transforming into a crucible of innovation powered by digital, analytics, and AI talent — and this article brings the numbers and industry support endorsements to back that claim.

From a personal perspective, this alignment between prediction and current reality is deeply gratifying. It underscores how some of the undercurrents I observed amid the global service landscape were not ephemeral trends but structural shifts. As India continues to scale up its domiciled talent base and infrastructure, it solidifies its position not just as a “factory” but as an intellectual powerhouse—a distinction critical for policymakers and business leaders aiming for sustained global competitiveness.

Call to Action:
To policymakers and industry leaders overseeing GCC growth and talent development: the time to act decisively is now. Harness the momentum by investing in scalable skilling platforms, nurturing tier-II and tier-III city ecosystems, and designing retention frameworks that mitigate attrition without compromising innovation. Strengthen collaboration between academia, industry, and government to future-proof India’s standing as a preferred GCC destination. The current growth projections offer a roadmap, yet only a concerted effort can translate these promising numbers into a durable economic legacy.

With regards, 

Hemen Parekh

www.My-Teacher.in