Honoured to have contributed to @wef Artificial Intelligence in Financial Services white paper — a landmark publication that engaged more than 100 leaders across banks, asset-managers, fintechs and regulators, and which builds on WEF’s dialogue series to shape how AI is actually deployed in financial services. https://t.co/i4zfcdY3cY
Today we’re introducing the OpenClaw Foundation: a nonprofit home for open, independent personal AI.
A full-time team. Great partners. One mission: bring personal AI to everyone.
Welcome to the age of the lobster.🦞
https://t.co/mwdqy3Qwqu
@ruima Curious about the perception that these models are not safe to deploy on enterprise grade workloads. Has there been security benchmarks which have improved? Thanks for sharing!
The greatest joy of my job is building friendships with the smartest people on the planet.
I have interviewed 1,000+ of the best CEOs over the last decade. @nikesharora is one of the best (alongside Nik Storonsky, @alanchanguk).
Nikesh's story is insane. He came to the US with two suitcases, $200, worked as a security guard, took notes for students and flipped burgers to pay tuition.
Today, he is CEO of Palo Alto Networks, a $225BN cybersecurity giant.
He is a dear friend and we sat down to chat the other day and he said he was happy for me to release my biggest lessons from the discussion.
🚀 6 Lessons from Nikesh Arora on Building a $225BN Company
1. Product Builds Brand. Not the Other Way Around.
If you build a great product and execute well, brand follows. If you have a great brand and the product is poor, the brand dies.
Sun Microsystems had a brand. Yahoo had a brand.
It did not save them.
In tech, brand is not a substitute for product. Brand is the residue of product excellence.
2. Consumer AI Is About Breadth. Enterprise AI Is About Depth.
Consumers tolerate false positives. If ChatGPT gets something slightly wrong, you correct it, ignore it, or move on.
Enterprises cannot do that. If an AI agent is making independent decisions in a company, false positives are catastrophic.
The future of enterprise AI is deep context-rich intelligence.
3. Most Enterprises Are Using AI Wrong.
The real opportunity is to rethink the workflow from first principles and let AI do 80% of the thinking.
The winners will not be the companies that sprinkle AI on old processes.
The winners will be the companies that redesign the company around AI.
4. SaaS Had No Opinion. AI Applications Will.
SaaS applications are containers. You define the input. You define the output.
AI applications will have opinions.
That changes everything.
Nikesh thinks many G&A functions — marketing, finance, HR — could have half the people over the next three years because AI will make the average employee dramatically more capable.
5. AI Transformation Has to Be Top-Down and Competitive.
Nikesh runs a meeting twice a week called AIIO.
The point is simple: get the top technical leaders in the company in one room and force the conversation.
What are you doing with AI?
Why are you building this?
How are you using tokens?
How are you changing the product?
What have you done in the last three days?
The brilliance is not the meeting. It is the social pressure. That is how you transform a 21,000-person company.
6. In Technology, Miss One Trick and You Survive. Miss Three and You Are Obsolete.
Miss one trick, you can survive.
Miss two tricks, you are partially impaired.
Miss three tricks, you could be obsolete.
That is the CEO mindset in 2026.
Paranoia is not optional.
The speed of learning is now the speed of survival.
Thank you my friend. Forever learning from you.
(Link in comments.)
Brilliant analysis and essay from @aviralbhat! India’s time will come like USA and China. India needs to invest heavily in R&D and building more educational institutes like IIT/IIM.
Some of these agent setups (OpenClaw, Claude Code) keep hitting the same wall :)
Context windows can’t keep up with growing files, outputs, and chaos. Their fixes seem the same, limits on read, LIFO, sub agent without purpose.
Urgent need for a smart, model-aware memory at low latency.
@lifeofjer It is good to hear about the restoration. Hard guard rails, deeper contextual actions and protection against such incidents is the key corrective action. Best wishes.
We’re excited to welcome Nitin T. Bhat, Senior Vice President/General Manager of @salesforce, to Forbes Technology Council!
We can’t wait for the innovative ideas and insights Nitin will share with our community of tech leaders.
https://t.co/u15TJf7qdV
Most tech companies break out product management and product marketing into two separate roles: Product management defines the product and gets it built. Product marketing wires the messaging- the facts you want to communicate to customers- and gets the product sold. But from my experience that's a grievous mistake. Those are, and should aways be, one job.
There should be no separation between what the product will be and how it will be explained- the story has to be utterly cohesive from the beginning. Your messaging is your product. The story you're telling shapes the thing you're making.
I learned story telling from Steve Jobs. I learned product management from Greg Joswiak. Joz, a fellow Wolverine, Michigander, and overall great person, has been at Apple since he left Ann Arbor in 1986 and has run product marketing for decades. And his superpower- the superpower of every truly great product manager- is empathy. He doesn't just understand the customer. He becomes the customer.
So when Joz stepped into the world with his next-gen iPod to test it out, he fiddled with it like a beginner. He set aside all the tech specs- except one: battery life.
The numbers were empty without customers, the facts meaningless without context.
And, that's why product management has to own the messaging. The spec shows the features, the details of how a product will work, but the messaging predicts people's concerns and finds way to mitigate them.
- #BUILD Chapter 5.5 The Point of PMs
Meet Gemma 4: our new family of open models you can run on your own hardware.
Built for advanced reasoning and agentic workflows, we’re releasing them under an Apache 2.0 license. Here’s what’s new 🧵
Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: https://t.co/CDSQ8HpZoc
Jensen Huang, CEO of NVIDIA:
“every company in the world needs to have an open claw strategy. an agentic systems strategy. this is the new computer.”
wild to hear.
good tips for leaders and their boards, from a leader who has weathered the ups and downs and been hardened tackling super hard problems. @cerebras is an incredible company that has endured and overcome all sorts of doubts along the way.
Must read! One of the most balanced articles in recent times about AI and impact to software! Bravo @stevesi!
In contrast, some poorly articulated posts remind me of a famous Mark Twain quote “the rumors of my death are highly exaggerated”!!
@SushilS27538625 Thanks sir, it has been so many years. As a young kid seeing those days was so tough. For me, these moments are not abstract history but lived experience. I hold them with dignity and quiet reflection, remembering the innocent lives that were failed in those times.