Who is Satoshi

 The Indian movie enthusiasts had to wait for 22 months to know the answer, "Why Bahubali killed Kattappa"

It took 16 months to unmask the Fake Steve Jobs blogger!

Crypto enthusiasts have been waiting for more than 17 years to know, " Who is Satoshi Nakamoto?" the bitcoin creator and author of the white paper on bitcoin

John Carreyrou of New York Times has written an article claiming to unmask, Satoshi and says, Adam Back, Co-Founder/CEO of blockstream.com is Satoshihttp://

However, Adam has gone on record denying it.

If I am Satoshi, (or for anyone who is Satoshi) it would take an immense will power and effort to not boast about such power and influence for so long.

Think about it, if you are Batman or Superman, though you want to keep your identity secret, wouldn't you at least wanna tell a select few. How come folks can keep quiet, if they know you are super man or bat man!

Neverthless, read this wonderful article https://www.nytimes.com/2026/04/08/business/bitcoin-satoshi-nakamoto-identity-adam-back.html and i also think and believe, certain secrets should stay secrets and this is one of them

Finfluencer vs AI tech Bro

 Last week, after building the REIT InvIT planner, I did share it few of my friends. Well actually, all of my friends. 

One of my friend responded saying, Nice, you have become a Finfluencer.

For a minute wasn't sure, should i be offended or feel proud. 

The whole point of it was to showcase how AI makes life easier, how it is easy to build something super fast and super easy and rather than be called as AI tech bro, me getting labeled as finfluencer was little upsetting.

Then it hit me! It was indeed a compliment

One of my mentor used to say something like this: True tech should be like magic, One should never know the intricacies and they should see and appreciate the output. (probably he was channeling his inner Steve Jobs ;))

Though the application was built using AI and leverages a lot of AI, the tech was invisible. In fact only one person asked me, "Oh you have built it, what stack you are using and how and where you are getting the data"

With the rest of the others, the conversation was about to what are these assets, how to invest, to invest or not, how much to invest and so on.

Looking back, in a way mission accomplished!

Embracing and Adopting AI

 Sometime back was talking to a senior executive from a traditional company. The talk veered towards AI and the impact/disruption due to that. During the conversation, he was wondering, how to convince stakeholders in firms that are not necessarily tech first but are one focused with accuracy, precision and reliability.  I did suggest, how they could think off an overall AI strategy, Identifying use cases with low impact low risk, clearly calling out boundaries in terms of where AI could be used versus not, rethinking their enterprise risk management with AI in focus, having sufficient guard rails, human in the loop design systems and so on.

In hindsight, I realized I should have told him the below as well

1. AI is not just GenAI or LLM. (where the repeatability and reliability could be challenges). There is lot more.

2. If the senior/exec leadership team is still worried about using AI and if they are not wondering how could they use AI and how could they leverage AI and are not proactive and taking initiatives to be AI literate, they are in for far more bigger challenges

3. The real nuanced challenges are more about data protection, privacy, security, and managing legal, risk and compliance.

Having said that, I was also reminded by what one of the tech person who is building/integrating AI features told me recently.

There are two biggest challenges in AI

People in senior level who have no context or knowledge about the particular domain prompting AI to ask for tough questions and make a critique and parroting that to show they are smart while putting down people. Think of a finance leader commenting on the choice of a tech stack!

People in senior level playing around with AI, building a pet project or POC over the weekend and thinking it would apply to production grade, large scale systems as well and making insane requests and timelines.