Dave Bartoletti

I'm delighted to share our leadership in @forrester's AI Infrastructure Solutions Wave, a glowing testimonial to the hard work of our teams and the support and guidance of our customers! @googlecloud @GoogleAI @dbradstock

"We’re the only ones with chips, models, the context to feed the models from all of the data infrastructure, the cyber tools, and then a world-class agent platform." - @ThomasOrTK Great interview, as usual, from @benthompson. So many insights. stratechery.com/2026/an-interv…

Great in depth interview with Thomas and Ben on GCP, Gemini Enterprise, Agents, TPUs etc

A MIT professor who built the world's first neural network machine said something about intelligence that nobody in Silicon Valley wants to admit. His name was Marvin Minsky. He co-founded MIT's artificial intelligence lab with John McCarthy in 1959. He built SNARC the first randomly wired neural network learning machine in 1951, as a graduate student at Princeton. He won the Turing Award. He advised Stanley Kubrick on 2001: A Space Odyssey. Isaac Asimov, who was not a modest man, said Minsky was one of only two people he would admit were more intelligent than him. In 1986, after decades of building machines that could think, Minsky published a book about something far more unsettling. How humans think. And why we are wrong about almost everything we believe about it. The book is called The Society of Mind. It has 270 essays. Each one is a page long. Together they build a single argument that most people, when they first encounter it, reject immediately because it is too uncomfortable to accept. The argument is this: you do not have a mind. You have thousands of them. What you experience as a single, unified self making clear-headed decisions is not a thinker. It is an outcome. The result of hundreds of tiny, specialized, mostly mindless agents competing, negotiating, overriding, and occasionally cooperating with each other beneath the surface of your awareness. You do not decide things. You are what is left over after the arguing stops. Minsky was precise about this. He wrote that the power of intelligence stems from our vast diversity, not from any single perfect principle. He called this the trick that makes us intelligent, and then immediately added: the trick is that there is no trick. There is no central processor. No ghost in the machine. No unified self sitting behind your eyes, calmly evaluating options and choosing rationally. There is only the parliament. And the parliament is always in session. This reframing destroys the standard explanation for every failure of self-control. The reason you procrastinate is not laziness. It is that the agent in you that understands long-term consequences is losing an argument to the agent that wants comfort right now, and neither of those agents has a decisive vote. The reason you change your mind the moment someone pushes back is not weakness. It is that the social agent, the one that monitors status and belonging, just outweighed the analytical one. The reason willpower fails is not a character flaw. It is that you sent one small agent into a fight against dozens, and you called that discipline. Minsky had a specific line that breaks this open completely. He said: in general, we are least aware of what our minds do best. The things you do with the most apparent ease, reading a face, walking through a crowded room, understanding a sentence, catching a ball, are not simple at all. They are the products of staggeringly complex agent networks that run so smoothly, so far below conscious access, that you experience them as effortless. The things that feel like work, the logical arguments, the deliberate choices, the careful plans, are actually the clumsy surface layer, the small fraction of mental activity you can observe at all. You have been taking credit for the wrong parts of your own intelligence. The practical implication is the one that most productivity advice misses entirely. If your decisions are not made by a single rational self but by whichever coalition of agents happens to win the moment, then the game is not about training yourself to be more disciplined. The game is about designing the environment so that the right agents win without needing a fight. This is why removing your phone from the room works better than deciding not to check it. This is why writing one task on an index card works better than building a sophisticated system. This is why commitment devices beat motivation every time. You are not strengthening your will. You are changing the conditions of the argument so that the outcome you want becomes the path of least resistance. Minsky spent his entire career building machines that could imitate intelligence. What he discovered in the process was that natural intelligence, the kind running inside every human brain on earth, is nothing like what we think it is. It is not a single flame burning in a single chamber. It is a city. Loud, chaotic, full of competing interests, with no mayor. The people who understand this stop trying to win the argument through force of will. They learn to build a better city instead.

Another don't miss session at #GoogleCloudNext!

For all my cloud native and infrastructure fans, near and far, your guide to must-see content next week at #GoogleCloudNext!

@rakyll @antigravity Yup! Google is so big you can find someone to validate your opinions without much trouble. Anecdote does not equal data.

Everyone I work with uses @antigravity like every second of the day and rely on numerous agentic helpers we have for every review and more. Most people evaluate other harnesses for personal projects continuously, and some are driving multi harness orchestration.

Hey friends heading to #GoogleCloudNext, don't miss this one: googlecloudevents.com/next-vegas/ses…

The official guide to #Infrastructure and #GKE sessions at #GoogleCloudNext is now live! Check it out 👇 goo.gle/4ejMxjc

Google CEO @sundarpichai says the U.S. "must take the lead" on artificial intelligence "and develop it boldly and responsibly so every American benefits.” "I’m optimistic, not because I believe in technology, but because I believe in people, and the sheer power of American ingenuity,” he says.

🚀 Only 9 days to go until Google Cloud Next! ⏳☁️ And I’m getting super excited 🥳🤩 If you're tired of overspending on AI infrastructure or battling GPU scarcity, come join me for BRK3-032: Large-scale LLM inference on GKE 🙌 We’re going to move way beyond the basics. I'll be sharing how to architect GKE environments that balance speed and availability while slashing your operational costs 🤑 Don’t just run your models 🤨 run them efficiently, reliably, and at scale 🚀 🤖 📅 Wednesday, April 22 | 13:30 - 14:15 📍 Room BRK3-032 Check out the catalog and add it to your schedule! Can't wait to see you all there. 👇 googlecloudevents.com/next-vegas/ses… #GoogleCloudNext #GKE #Kubernetes #LLM #CloudComputing #AI

Having the strongest offering AND best strategy is the result of many years of hard work in the sovereign space. Turns out you *can* get access to a consistent set of services, including AI, while meeting local compliance obligations. Who knew?

Forrester has named Google Cloud a Leader in The @forrester Wave™: Sovereign Cloud Platforms, Q1 2026 Learn more about our sovereign-by-design philosophy in the full report, here → goo.gle/4cb61nE

Wave goodbye to generic AI. At #GoogleCloudNext, you'll learn to build AI apps and agents at scale, innovate faster with Vertex AI, and deliver agentic customer experiences. Learn more about what's in store for you in Vegas in 14 days → goo.gle/4clt0N4

"Our core principle for usability is simple: [TorchTPU] should feel like PyTorch. A dev should be able to take an existing PyTorch script, change their initialization to 'tpu', and run their training loop without modifying a single line of core logic." developers.googleblog.com/torchtpu-runni…

Build more efficient AI agents with the Agent Skills specification 🛠️ By using progressive disclosure, you can load domain expertise only when needed. This can reduce baseline context usage by 90%. We break agent knowledge into three layers: 1️⃣ L1 metadata: Just enough info for relevance 2️⃣ L2 instructions: Full skill body on demand 3️⃣ L3 resources: External files pulled when required Explore the full guide by @lavinigam and @Saboo_Shubham_: goo.gle/4bWZ7Cm

@boredabdel @KubernetesPod @CloudNativeFdn Awesome news! Well-deserved.

The news is out. I was selected as the next KubeCon co-chair 🙌 alongside Abby Bangser and Lin Sun 🙏🙌 I will be helping with the content for #KubeConNA26 #KubeConEU27 and #KubeConNA27 🙂 Thank you @CloudNativeFdn team for the trust and honor 🙌 and many many many folks for inspiring, supporting, nominating... I could not list all names even if I wanted 🙂 Looking forward to this new adventure and let's keep Cloud Native Moving 💪🤟

Register now! You're not gonna want to miss our most exciting Next ever. Hope to see everyone there!

Calling all #Kubernetes Nerds and enthusiasts! 📣 Google Cloud Container Day 2026 is coming to Amsterdam on March 23. 🚲🇳🇱 During the week of #KubeCon #CloudNativeCon Come hang out with us at Venue Collective to talk GKE, explore the future of containerization, and network with GKE Engineers and PM's. RSVP now, space is very limited 👇 rsvp.withgoogle.com/events/contain… #ContainerDay #GoogleCloud #GKE #Amsterdam #TechEvent #Kubernetes

The energy at the Google Cloud Booth #513 was electric! We were thrilled to welcome @NVIDIA CEO Jensen Huang to the Google Cloud booth at #NVIDIAGTC. From discussing our integrated AI stack to the future of agentic AI, the partnership has never been stronger. He even left a little note to Thomas Kurian on our booth wall + signed a Google Cloud A4X Max powered by NVIDIA GB300 NVL72 and the NVIDIA Vera Rubin NVL72. ✍️

Look for the Google Cloud Run logo! @nvidia ❤️ @googlecloud