Be humble, kind, thoughtful and funny.
That’s the best leadership archetype imo.
Be interested and interesting.
Don’t be aloof, prickly, a person of few words and high handed.
Teams that laugh, work and play together. Win together.
Your title, seniority etc. is all B.S.
I got to spend all day today with Jensen in Taiwan: talking with thousands of engineers and eating street food at a night market. Jensen is received as a rockstar in Taiwan, like it's Beatles in the 60's. It's mind-blowing and fun to watch. But most importantly, through all the interactions and all my conversations with him, he remained the same humble, kind, thoughtful, funny guy he always was, even as a kid who went to these same night markets many years ago.
Btw, we tried a crazy amount of different street food. It's legit some of the most delicious food I've ever had. I can't wait to share video of it, including a ton of our conversations and hangout. When I can pause for a moment from all the travel to edit the video, I'll post it.
Can't wait to continue talking to Jensen and engineers at Computex this week, and exploring more of Taiwan, and of course roaming the night markets for some more delicious street food.
Days like these, even more than usual, I feel like the luckiest kid in the world.
Love you all! ❤️
Boundless is coming to NY Tech Week - @Techweek_
If you're building in compute and infra, we need to talk. 20 min coffee chats, on me.
Bonus: hosting a few events for leaders in onchain finance x privacy. If that's you, we have 1, maybe 2 spots open.. see you there?
@chandrarsrikant Here we go again.. hopefully we don't get de-banked and we spell words properly in Hinglish.
"Chalo shuru karen" is still heavy in my memory.
Customer loyalty moves on price and service.
@Costco wins on both metrics.. as does @boundless_xyz Though we have a ways to go to get to costco levels. https://t.co/NXtOjoUCyg
Will energy providers be ok with it?
Will insurance cover in case of fire or theft? Theft is gonna be a super real problem when you go on vacation.
It's a great idea if you ignore the details.
🚨BREAKING: Nvidia will pay you $1,000 a month to host a mini AI data center at your house.
It looks like a regular AC unit sitting in your yard. Nobody walking past would know what is inside.
Inside sits 16 Nvidia Blackwell GPUs and Dell servers running at full capacity.
A startup called Span builds and installs them. They are backed by Nvidia directly. The whole unit bolts onto your home and you get paid for the power and Wi-Fi you supply.
Some estimates put the monthly payout around $1,000. That is rent money just for hosting a box you never touch.
Span says the units deploy significantly faster and cheaper than traditional data centers. That is exactly why Nvidia is backing the suburban rollout instead of waiting for more commercial land.
The AI boom needed more compute. It found it in the suburbs.
The grid is being rebuilt one backyard at a time. Save this.
The Privacy Table is returning to NYC with @StellarOrg
A curated dinner for C-suite leaders and decision makers shaping the future of private payments and onchain privacy.
See you at the table.
You should read this thread.
It used to take about 25 seconds to generate a 5-second video on 8 Blackwell GPUs. The legends at @haoailab brought that down to just 4.2 seconds on a single Blackwell GPU… and then open sourced the tech behind it.
To be honest, sports (in India, in particular) was mostly unstructured and created a great space for learning inter-personal skills. None of us made it to the national/state/district team.. but we all became great friends.
It's been quite hard to engineer that within youth sports here.. it seems to be a work item for college applications.
The good news is that it means engineers (the human varietal 🙄) will be asked to find a way to lower costs of these AI features and add value to customers.
Low hanging fruit - use open source models, run on cheaper hardware and focus on customer pain points.
Modern life has tricked us into thinking travel is good.
It's kind of barbaric for the body.
Last time I went to Asia we measured my biomarkers.
The data was bad…
+ 9 days for blood glucose stability
+ 9 days to re-entrain my circadian rhythm
+ 18 days for sleep architecture recovery
The research:
+ people who travel constantly for work (3+ wks a month) have measurably more anxiety, depression, and drinking problems than people who don’t
+ repeated jet lag is linked to memory-region shrinkage in flight crews
+ your immune system takes a hit. Dry cabin air dries out mucous membranes that block infection which can leave you more exposed to getting sick
This is intuitive because the body runs on a clock. Biological processes kicked off by another, with sleep + sun running the show.
Cabin altitude is ~7,000 ft. Hypoxia alone disrupts cortisol and suppresses nocturnal melatonin for hours after you land. Cabin humidity drops as low as 5% (drier than the Sahara).
If you’re budgeting your international trips: I’d suggest no more than once every 3 months. Evidence shows you need ~1 day per time zone to re-entrain, and east is worse than west.
Once Kate gets back she’s starting the female protocol. This also means she can’t travel internationally for at least a few months while we collect baseline measurement.
The body understands time zone changes as trauma.
I hope that this is my last international trip for a very long time.
The only way rail beats flights is (a) wifi (b) food (c) space (d) faster check-ins.
Space and faster check-ins are very easily traded for time of journey for 3-5hr flights (~12-18 hours on rail).
Food mostly sucks.. in other words, starlink may have killed off hi-speed rail.
Low cost, open source models will win this out in the middle term.
Companies can’t justify handing over money AND its data to closed software companies who will gleefully put them out of business to justify their valuations.
🦔Microsoft canceled its internal Claude Code licenses this week after token-based billing made the cost untenable, even for a company with effectively infinite cloud resources. Uber's CTO sent an internal memo warning the company burned through its entire 2026 AI budget in just four months. American AI software prices have jumped 20% to 37%, and GitHub (owned by Microsoft) is dropping flat-rate plans for usage-based billing across its products.
My Take
The AI subsidy era is ending in real time. The same company that put $13 billion into OpenAI and built the Azure infrastructure powering most of Anthropic's compute just looked at the bill from a competitor's coding tool and decided it was not worth paying. That is not a productivity failure on Anthropic's end. Token-based pricing is forcing every enterprise customer to confront the actual cost of running these models at scale, and the number turns out to be far higher than the flat-rate experiments suggested.
This ties directly to my Gemini Flash post yesterday. Anthropic, OpenAI, and Google all raised effective prices in the last six months. Enterprises that built workflows assuming AI costs would keep falling are now watching annual budgets evaporate in months. Two outcomes look likely from here. Either enterprises scale back AI usage to fit budgets, which slows the revenue ramp the labs need to justify their valuations ahead of IPOs, or the labs cut prices and absorb the losses, which makes the unit economics worse at exactly the wrong moment. Both paths land in the same place, the numbers stop working, and somebody has to take the writedown.
Hedgie🤗
Returning to NYC for @Techweek_ followed by @ethconf
Spending most of my time lately on a problem that keeps coming up in every conversation with banks and fintechs - how do you run compliant, confidential transactions on public blockchains?
If you're working on anything where transaction privacy and compliance intersect - would love to grab coffee and compare notes.
We're also hosting a couple of events during the week. DM me if you're in New York from June 2nd to 10th.
As the recently expanded partnership with @AnthropicAI demonstrates, @SpaceX is offering AI compute as a service at significant scale.
We are in discussions with other companies to do the same.
Over time, especially with orbital data centers, we expect to serve AI at extremely high scale.
Financialization of Compute.
https://t.co/NvcpNUJTTN
I think you can 'infer' a pattern here. @boundless_xyz has been way ahead of this trend and predicted this outcome in our original whitepaper - a year or so ago.
Glad to see everyone aligning.
Introducing OpenAI Guaranteed Capacity: a new offering that enables customers to guarantee long-term access to OpenAI compute.
We’ve made long-term investments in infrastructure, partnerships, and capacity planning to help customers scale reliably.
Now, Guaranteed Capacity helps customers plan ahead for critical workloads in a compute-constrained world.
https://t.co/TN4OkZr2Uo