The Spice Must Flow: How Building the Arrakis Chess Engine Exposed the Real Challenges of Enterprise AI Production Building Arrakis Engine — an open-source chess coaching AI — in 18 days with an AI pair programmer taught me more about enterprise AI deployment than any consulting engagement. The real challenges hav...

The Spice Must Flow: How Building the Arrakis Chess Engine Exposed the Real Challenges of Enterprise AI Production:
www.linkedin.com/pulse/spice-... #enterpriseAI

The Agentic SOC: How Splunk Security Transforms Enterprises in the Age of AI with John Morgan Spotify video

This is not about replacing security teams.
It is about giving them a fighting chance.

Full conversation on Analyse Podcast: open.spotify.com/episode/4mND...

3. The attacker has structural advantage: No compliance. No governance. Infinite retries. Defenders must assume breach — and design for rapid detection and containment, not perfect prevention.

2. The bottleneck is no longer detection — it’s investigation: Enterprises already have too many signals. The real constraint is making sense of them fast enough. This is where agentic AI will fundamentally reshape the SOC.

1. Attack speed has collapsed
What used to take weeks now takes hours. AI is compressing the time from vulnerability discovery to exploitation. That changes everything about response strategy.

Here are three non-obvious shifts leaders need to internalize:

But after speaking with John Morgan (SVP & GM, @splunk Security) on @analyseasia, the reality is clearer:

👉 Cybersecurity is now a resilience problem in an AI-driven adversarial environment.

The Agentic SOC: How Splunk Security Transforms Enterprises in the Age of AI with John Morgan YouTube video by Analyse Podcast

Most enterprises are still thinking about #cybersecurity the wrong way in the era of #AI. They frame it as a prevention problem. youtu.be/2C3P8EtuI4g

My philosophy distilled into a chess set with the phrase encoded: "The Privilege of a Lifetime is to be Yourself." #lifephilosophy

When Code Gets Cheap, Judgment Gets Expensive - The Story of Building Arrakis Chess Engine with Claude Code www.bernardleong.com/when-code-ge...

Came out from a project I build for my kids in #chess

#ClaudeCode

Elastic: From Search Recipes to AI Infrastructure at Scale with Ken Exner Spotify video

Don't miss our latest episode with Ken Exner, Chief Product Officer from #elastic where he shared the company evolving from search to #AI infrastructure & share the future state of software development from individual contributor to manager of AI agents.

open.spotify.com/episode/3FuL...

That is the debate we need to have now.

Please comment if you have different perspectives or disagree with me on what I have said.

If we fail, AI will consolidate power among incumbents. If we succeed, it could democratise opportunity across the region.

This distinction matters because the strategic question for our region is not “Will AI replace work?” but “Can we build the institutions, educational systems and capital pathways to translate AI into broad-based mobility?”

The students, founders, freelancers and families I meet view generative models as a springboard to mobility rather than a threat to their future.

Those fears matter, but they are incomplete. In many parts of Asia Pacific, AI is not primarily an automation story—it is an opportunity story.

Too much of the global AI discourse is dominated by Western anxieties about displacement and surveillance.

Anthropic’s survey of 81K AI users showed that concern about jobs & the economy predicts negative sentiment in wealthy markets, while respondents from Asia, Africa & Latin America are optimistic because AI represents an affordable way to learn, to build businesses & to overcome structural barriers.

The real divide is between societies where AI threatens the incumbent order and those where it offers a ladder to mobility.

Across boardrooms and policymaker circles, we keep asking whether people are optimistic or pessimistic about AI. That dichotomy misses the point.

What 81,000 people want from AI Last December, tens of thousands of Claude users around the world had a conversation with our AI interviewer to share how they use AI, what they dream it could make possible, and what they fear it mig...

The Real AI Divide Is Not Left vs Right, Optimist vs Pessimist, or Human vs Machine

Source: @AnthropicAI What 81K people want from www.anthropic.com/features/81k...

Beliefs Are Tools, Not Truths: Beyond Belief with Nir Eyal Spotify video

You can listen to my conversation with Nir Eyal on Spotify: open.spotify.com/episode/4irQ...

🎧 I really enjoyed this conversation with Nir Eyal on the @analyseasia Podcast.

If you are building something, leading a team, or simply trying to improve yourself, this episode will make you rethink the beliefs that shape your decisions.

At some point, belief becomes the catalyst that turns possibility into reality.

As Nir put it during our conversation: Everything worth having in life is on the other side of discomfort. Sometimes the first step through that discomfort is simply changing the belief we hold about what is possible.

3️⃣ The real question is not whether a belief is true. The real question is: Is this belief serving me — or am I serving the belief? There are many decisions in life where there will never be perfect certainty: Starting a company, Taking a career risk or Building something new.

What struck me in the conversation is that even highly successful people carry limiting beliefs in different areas of their lives. Recognizing them is the first step to changing them.

2️⃣ Many of our limits come from beliefs we cannot see. The most dangerous limiting beliefs are not the ones we articulate. They are the ones that operate quietly in the background: “I’m too late.”, “I’m too old.”, “This won’t work for someone like me.”

Without belief, even the best advice doesn’t translate into action. That explains why we often know what to do… yet still don’t do it.

1️⃣ Motivation requires belief, not just effort. We often think motivation works like this: Do the work → get the reward. But Nir explains motivation is actually a triangle: a/ Behavior — what you do, b/ Benefit — why you do it and c/ Belief — whether you think it will work.

Here are three insights from our conversation about his new book, "Beyond Belief" (and I received my digital copy this morning) that I found deeply thought-provoking.