I’m 60. I studied computer science in 1984.

Back then, it took me many weeks just to write the graphics code to draw a few rectangles on screen. I gave up, switched to a business degree, and walked away from computers for decades.

Last week, AI wrote me a financial risk report of my investment portfolio with suggested follow-up actions that was so good, I had to read it three times.

Here’s what changed my mind.

In 2018, I watched the award-winning AlphaGo: The Movie documentary and something clicked. With enough data, the ceiling disappears. China understood then that data is the new oil and turbocharged its AI initiatives.

In 2021, I did a full-time 6-month IBM AI course. Then ChatGPT landed in late 2022, and the AI race was on. Since then, AI has reshaped how I invest, how I write, and how I think.

So I went looking for the best tool out there. After months of kicking the tyres across Grok, Gemini, DeepSeek, Perplexity and others, my answer was clear: Anthropic’s Claude.

Two weeks into the paid version, here’s what blew me away.

Memory. I turned it on, and Claude quietly built a profile of who I was. It keeps improving, I can edit it anytime, and the whole thing lives in a portable file I can paste into any AI. My persona, on tap.

Skills. This is the Neo-in-the-Matrix moment where a new Kung Fu skill is just a download away. I downloaded a “how-to” skill from the web, and typing “/how-to” before my prompt turns Claude into a step-by-step personal advisor that asks me the right questions before answering. I’ve used it for investment analysis and to choose the EV car I want. I have had so many lightbulb moments.

Automation. I built an agent in a few steps that drafts a daily financial news summary and drops it into my Gmail, ready to review. I managed to edit my school reunion video autonomously. I wrote an initial draft of this article before I let Claude fact-check the data and reword it as a LinkedIn post.

Then there’s the story behind the company itself.

Anthropic was founded in 2021 by people who left OpenAI. Last month, it raised $65 billion at a $965 billion valuation, and has confidentially filed for an IPO.

Here’s the wild part. FTX’s Sam Bankman-Fried was an early backer, putting in $500 million for an 8% stake in 2022. When FTX collapsed, the estate was forced to sell that stake for about $1.3 billion. That same 8% would be worth roughly $77 billion today after 4 years. Selling early costs them around 150 times their money.

You can’t buy Anthropic yet as it’s private. But here’s a side door: Google owns about 14% of Anthropic. And as a bonus, Google also owns about 6% of SpaceX, which just IPO’d this month at a $1.77 trillion valuation.

I refuse to be an AI dinosaur. As Thanos says, “AI is inevitable.”

If a 60-year-old uncle can pick this up and run with it, what’s your excuse for not starting today?

What’s the first thing you’d ask an AI to build for you?

#AI  #Claude #Anthropic  #LifelongLearning  #Investing

Just wanted to pen down a great week I just had. This will help me look back on this again in the future.

Having been back from a 2-week holiday in Australia (SYD, TAS, MEL) the previous week, the last week was a wonderful period of daily catch-ups with friends and family.

Mon, 08 Jun – We had lunch and then booked facial appointments with my older son to use up the treatments from an old, unused contract. He is also going through some career turmoil at the moment, and we had a good chat. Hopefully, everything will turn out well, as when one door closes behind you, many others will open in front of you.

Tues – It was a long-overdue lunch with a schoolmate. We had known each other through our sons, who also attended the same school as us and had been best friends since they were young. We talked about retirement and our next stage of halftime.

Wed – Met 2 old friends who go way back to our banking days and our recent Myanmar microfinance consultancy project. Later in the evening, it was another uncle’s happy hour catch-up into the late night, reminiscing about the old school days.

Thurs – Met a secondary classmate. It was a follow-up to the school reunion on 14 May as he wanted to thank both of us, the organisers.

Fri – A long-awaited lunch with my sisters to catch up and to discuss our parents. The hours passed by quickly.

Sat – My 60th birthday dinner with BFF from uni days, almost 40 years since 1987. My wife organised the whole event, and my sons helped to make it a night to remember for a long time.

Just last week, Elon Musk dropped a bombshell — his vision for TERAFAB, a joint venture between Tesla, SpaceX, and xAI.

🎥 Watch here:

Video

💡 Elon’s Core Message (in one line):

“TERAFAB isn’t just a chip factory — it’s the industrial engine for a galactic civilization, unlocking the power and compute humanity needs to expand beyond Earth.”

🌌 The Vision

• Type II Civilization Goal: Capture the Sun’s energy directly in space — not just the tiny bit that reaches Earth.
• Multi-planetary Future: Cities on the Moon and Mars, where science fiction finally becomes science fact.

🏗️ The TERAFAB Project (Austin, Texas)

• All-in-One Fab: A vertically integrated chip facility producing custom logic, memory, and packaging under one roof.
• Recursive Loop: Rapid self-improvement cycles — Musk claims it will iterate 10x faster than any other fab on Earth.
• Custom Chips: Optimized for Optimus humanoid robots, Tesla vehicles, and radiation-hardened space environments.

☀️ The Shift to Space-Based Compute

Space might soon outcompete Earth for AI compute — constant solar power, no regulations, no night, no clouds.
Musk projects that within 2–3 years, it’ll be cheaper to run AI in orbit than in terrestrial data centers.

🔋 Scaling to Petawatt Power

Using Moon-based electromagnetic mass drivers, Musk envisions launching materials to build massive solar-powered compute arrays in deep space — feeding an AI economy at unimaginable scale. One petawatt (PW) is equal to 1,000 terawatts or 1,000,000 gigawatts.

🌍 The Future of Abundance

From billions of humanoid robots to a post-scarcity society, Musk imagines an economy millions of times larger than today’s — a universe where “if you can think it, you can have it.”

💭 My Personal Take on Elon & Tesla and a painful confession:

I first bought Tesla shares back in 2017 and made 100% gains twice, but like many, I bailed early in Aug 2018 when Elon’s “funding secured” tweets made me write him off as too erratic a CEO for my liking.

If I had held the shares till today… Well, let’s just say I could’ve bought a few Teslas outright for free now as the share price increased by 15x.

The turning point for me? Reading Walter Isaacson’s and Ashlee Vance’s biographies. I finally understood him. Asperger’s makes him intensely logical and unapologetically driven. Cold logic over emotion. Bottomless conviction and a risk appetite few humans possess.

When he bets the house — Tesla, SpaceX, now xAI — he tends to win. You can doubt his methods, but never his willpower.

So, I’ve rejoined the ride — accumulating Tesla again since 2022, with plans to hold through the wild road ahead… and maybe into the SpaceX IPO too.

Wish me luck 🚀

AI is everywhere — it’s in your face, on your feed, and shaping your future. Generative AI gave us the “wow” factor. Agentic AI is now stealing the spotlight.

But here’s what few people talk about: AI’s profound impact on biotech and healthcare. It’s quietly supercharging medical research, accelerating discoveries, and giving scientists new superpowers.

Take AlphaFold, for example — a groundbreaking tool that cracked the code on protein structure prediction. Created by Demis Hassabis, CEO of DeepMind (the same mind behind AlphaGo beating the top Go human player in 2016), AlphaFold earned him the 2024 Nobel Prize in Chemistry.

Recently, a story caught my eye — a passionate AI enthusiast used ChatGPT and AlphaFold to help save his beloved dog. It’s a heart‑warming glimpse into what’s possible when human determination meets AI innovation.

https://www.the-scientist.com/chatgpt-and-alphafold-help-design-personalized-vaccine-for-dog-with-cancer-74227

The takeaway? The future of medicine isn’t just in the hands of experts — it’s in the hands of anyone bold enough to explore.

With AI, the sky isn’t the limit. It’s just the beginning. 🚀

🧬 A dog with terminal cancer. A tech founder with no biology background. And ChatGPT.

When Paul Conyngham’s 5-year-old rescue dog Rosie was given months to live, he didn’t accept the prognosis.

Instead, he did something most of us would never think possible:

🔹 He sequenced her tumour’s DNA.

🔹 He used ChatGPT to identify the neoantigens.

🔹 He used AlphaFold to predict protein structures.

🔹 Then he collaborated with scientists to create a personalised mRNA vaccine.

Within months, Rosie’s tumours shrank dramatically.

She went from barely moving to chasing rabbits.

This isn’t science fiction. It’s a real case from Australia.

https://www.thestreet.com/health/tech-boss-uses-ai-and-chatgpt-to-make-his-dog-a-cancer-vaccine

Why this matters for all of us

AI is no longer just a tool for writing emails or summarising docs.

It’s starting to:

✅ Accelerate personalised medicine – what once took years can now happen in weeks.

✅ Democratize innovation – a non-biologist, armed with AI, worked alongside top researchers.

✅ Shorten the “concept-to-injection” timeline – the biggest bottleneck in cancer vaccines today.

We’re already seeing this spill over into human medicine:

• Personalised mRNA vaccines are in Phase III trials for lung cancer.
• AI-powered liquid biopsies are catching colorectal cancer earlier with simple blood tests.

The takeaway?

We’re entering an era where the combination of AI + mRNA + next-gen sequencing is turning “impossible” into “let’s try”.

Rosie’s story is a powerful reminder that innovation doesn’t always start in a big pharma lab. Sometimes, it starts with someone who refuses to give up—and the courage to ask an AI for help.

What’s the most surprising use of AI you’ve seen in healthcare or biotech? 👇

Something profound happened this week. At the Nvidia GTC 2026 event, Jensen Huang didn’t just announce a new chip—he mapped out a new world order.

Sitting through his 1-hour session on the All-In Podcast, I was struck by a single, powerful realization: We are officially exiting the “Chatbot Era” and entering the Age of the Agent.

https://www.youtube.com/watch?v=gwW8GKwHB3I

1. The Great Pivot: From Thinking to Doing

For the past two years, we’ve been obsessed with LLM Processing—AI that answers questions, generates text, and “thinks” for internal consumption.

But Jensen just signalled a paradigm shift to Agentic AI. These aren’t just chatbots; they are autonomous entities with:

• Working & Long-Term Memory: They remember your preferences and past tasks.
• Tool Use: They don’t just write code; they deploy it, test it, and fix it.
• Collaboration: Agents talking to agents to solve problems that would take humans weeks, in seconds.

2. The “Physical AI” Frontier

We’ve spent decades perfecting the “Digital Brain.” Now, Nvidia is giving that brain a body. Jensen highlighted the role of the Omniverse—a virtual “gym” where robots and self-driving cars learn to obey the laws of physics before ever touching the pavement. From telecommunications base stations becoming AI “radios” to digital biology modelling proteins like ChatGPT models sentences, the scope of AI is widening across every physical sector of our $50T global economy.

3. The 10,000x Compute Explosion

Most people think AI growth is linear. It’s not. In just 24 months, the compute power required has increased by 10,000x. Why?

• Reasoning (o1/o3) required 100x more compute than simple chat.
• Agentic workflows require another 100x more compute. The demand isn’t just “full”—it’s essentially infinite.

The Personal Perspective:

I am a deep believer in exponential growth, but witnessing it is different from predicting it.

I remember April 2020 vividly. The world felt like it was falling off the COVID pandemic cliff. Markets were in freefall, and the “experts” were telling everyone to hoard cash. In that chaos, I sat down and listed 5 “must-hold” stocks—the foundational companies I believed would define the next decade. Nvidia was in that list.

Since that moment, I’ve watched that conviction turn into an 18x return, as Nvidia became the first company to breach the $5 trillion market capitalization.

The Road Ahead: Is There More Upside?

When you see a company with a $1 trillion orders backlog through to 2027 and a CEO who is more bullish now than he was four years ago, the answer becomes clear. We aren’t just looking at “more upside”; we are looking at the foundational infrastructure of the next century.

Jensen’s parting advice for all of us? Don’t fear the technology. Master the “Artistry” of guiding it. The most important programming language of 2026 isn’t Python—it’s your ability to architect a vision for these agents to execute.

The future is so bright, I’ve gotta wear shades (and maybe finally pick up one of Jensen’s black leather jackets). 😎

Are you building with agents yet, or are you still just “chatting”?

#Nvidia #AI #GTC2026 #AgenticAI #Investing #ExponentialGrowth #FutureOfWork #JensenHuang

AI in Fintech is moving from the “wow” phase to the “utility” phase.

Simon Taylor’s latest Fintech Brainfood highlights a crucial shift: AI is no longer a feature but the development of fundamental infrastructure for the future.

The AI labs are waving their arms. It’s time we look up. AI researchers are warning us: the “exponential takeoff” is here.

GPT-5.3 helped create itself. Spotify developers haven’t written code since December—they’re now managing AI that does the coding. Anthropic’s CEO predicts Nobel Prize-level AI by 2027. One developer just built a billion-dollar company solo. AI is now exhibiting taste and judgment — the “safe zone” we thought we’d hold for years.

If AI can code, create, and reason, what does that mean for knowledge workers? The question isn’t if this shift arrives, but when.

Don’t wait for the whiplash. Start conversations. Experiment. Stay curious.

🚀 hashtag#AI hashtag#Innovation

As a side topic.

Ever wondered why articles are becoming more frequent, are better written and eye-catching nowadays? The author highlights below his method of articulating his thoughts and using AI to help him refine the final version of his articles:

“If AI has taste, what do we need writers for?

In my own experience, the quote from Matt Schumer resonates. I write a lot, and it used to be that an essay would take two days of effort to do well. I always started out knowing roughly what I wanted to say, but the research, organising the ideas, and making it readable, that was an iterative, agonising process.

And I can honestly say that’s shifted to the point where now I can open a Google Doc, dump in some of my thoughts and sentences, a summary of a YouTube video, some quote snippets like the ones in this article, and give it to Gemini to re-structure and then Claude to add finesse.

What comes out the other side is usually 80% done. And what took 2 days now takes 2 to 4 hours. In fact, that’s the very reason I do this AI edition of the newsletter.

This essay worked that way. And what you’re reading now was the output of 5 or 6 back-and-forth prompts, a manual edit, including this sentence, and then another quick review with Opus 4.6 before publishing.”

https://www.fintechbrainfood.com/p/its-time-to-talk-to-your-friends-about-ai?utm_source=www.fintechbrainfood.com&utm_medium=newsletter&utm_campaign=its-time-to-talk-to-your-friends-about-ai&_bhlid=91c881851b643e12713f0e13577ad9dde1b744ac

The story of OpenClaw/Moltbot/Clawdbot and how one man created a tsunami that shook the world: (Article credit to the author Linas)

“In 2024, Sam Altman told an audience that he and his tech CEO friends had a betting pool for when the first one-person billion-dollar company would emerge. Forbes projected it could happen by 2028.

It happened two years early.

On February 15, 2026, Altman announced that Peter Steinberger – the solo Austrian developer behind OpenClaw, the fastest-growing open-source project in GitHub history – was joining OpenAI to lead the next generation of personal AI agents.”


TL;DR
– The emergence of a one-man unicorn
– 2026 is the year of the AI Agent.
– Peter committed to enhancing OpenClaw further, to “build an agent that even my mum can use.”
– Productivity will skyrocket
– The writer predicts what will happen next – open source wins, app economy under structural threat

🚀 🤩


“In three months, Peter Steinberger went from a Friday night Telegram bot to an OpenAI acqui-hire with billion-dollar bids, a community of nearly 200,000 developers, and a seat at the table where the next computing platform is being designed.

He didn’t raise a dollar of venture capital. He didn’t hire a single employee. He built something people wanted, gave it away for free, and let the strategic value compound until the biggest companies in tech came to him.

That’s either the most compelling founder story of the AI era or the most compelling argument that the era of the traditional startup is ending.

Possibly both.”

https://linas.substack.com/p/firstonepersonunicorn?utm_source=post-email-title&publication_id=81819&post_id=188116182&utm_campaign=email-post-title&isFreemail=true&r=9k3yr&triedRedirect=true&utm_medium=email

S’pore has been named a blue zone country recently.

It is only the 6th country in the world to be awarded that title because we have one of the best healthcare system, bar none. https://www.bbc.com/travel/article/20241002-singapore-the-worlds-sixth-blue-zonehashtag#CountOurBlessings hashtag#Grateful

Singapore is considered the first “Blue Zone 2.0” (or “engineered” Blue Zone) because its high life expectancy (84 years now, 77 in 2007) and low chronic disease rates are driven by proactive government policies, urban design, and accessible healthcare rather than just traditional, organic lifestyles.

The system encourages health through preventative care, active mobility, and strict regulation of lifestyle risks.

Key Reasons for Singapore’s Blue Zone Status:

– Preventative & Accessible Healthcare:
The Healthier SG initiative focuses on long-term preventative health, shifting from reactive treatment to managing health before illness occurs.

– Engineered Urban Infrastructure:
The city is designed to encourage walking and exercise, with widespread park connectors, accessible green spaces, and efficient public transport that reduce car reliance.

– Proactive Public Health Policies:
Strict regulations, such as high taxes on tobacco and alcohol, smoking bans, and mandatory, colour-coded nutritional labelling on beverages (Nutri-Grade), help nudge residents toward healthier choices.

– Food Environment:
While a food-loving culture, the Health Promotion Board works to make healthier, less-oily/salty options more available at hawker centres.

– Community and Safety:
High levels of safety, social stability, and strong, closely knit family values contribute to lower stress and better mental well-being, enhancing longevity.

Unlike traditional Blue Zones, Singapore is a modern, high-density city-state that has “constructed” a healthier environment through strategic policy decisions.

https://www.bbc.com/travel/article/20241002-singapore-the-worlds-sixth-blue-zone