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Michael Jackson was loved by the people. The world adored him. A man who is genuinely admired and inspires millions is seen as a threat to those who want to rule the world with fear. If you have a badge and a gun - but are not loved - you are very fearful of those who are loved. Hope and inspiration is the antithesis to fear. Love is the antithesis to fear. In an attempt to dampen his power and stop the people from loving him, they accused him of sexual crimes and slandered his name all over the television and media. Do you understand?

This March, we introduced Ask Maps, the biggest @googlemaps update in a decade. Now, we’re making it even more helpful and bringing it to more people. 🌏 Expanded availability: Rolling out in Australia, Brazil, Canada, Indonesia, Japan and Mexico, along with over 150 countries and territories in English. ✨Get more done with Ask Maps: Including complex, multi-step tasks, like ordering food – along with finding the perfect hotel or discovering nearby events. ⌚Real-time transit information: Stay informed about up-to-the-minute delays and conditions for your bus, train, and more. 💬Personal intelligence and past conversations: Choose to securely connect @Gmail so Ask Maps can automatically reference booking details, like a hotel reservation or flight information. You can also pick up conversations just where you left them. 🗣️An easier way to help your community: Share tips and suggest edits to a place conversationally, like changing a store’s hours, right in Ask Maps and the Contribute tab.

Terafab will be built in Grimes County, Texas In April, we broke ground on our research fab on the North Campus of Giga Texas – the precursor to Terafab. Both Tesla & SpaceX will need far more chips than current & future global production can supply. This is why we're building the largest chip manufacturing facility ever, with the goal of producing over 1 terawatt of compute per year The future is built in Texas

most exchanges ask you to trust them. @binance just publishes the numbers. back in 2022, proof of reserves (the famous P.O.R) launches. here is some data picked for every year: nov 2022: 475,000 bitcoin:native sept 2023: 588,000 bitcoin:native dec 2024: 580,111 bitcoin:native dec 2025: 617,620 bitcoin:native july 2026, latest snapshot: 640,000 bitcoin:native i’ll let you figure out for yourselves what you're seeing. published monthly, publicly, verifiable, for over four years straight. it comes from millions of users choosing, every month, to keep their bitcoin there. four years of receipt, year after year.

We tried using Meta's new Muse Code agent, but it has a bug that doesn't let it sign in from a docker container. So we did a fun experiment: Meta claims Muse Spark 1.2 was co-trained with their Muse agent harness. So we extracted instructions from their system prompt and added them to the Cline harness. TL;DR of this special prompting: - Trust source code over the user prompt, so read every call site and existing tests before starting the task - Weigh edge and error cases as heavily as the happy path - Always reproduce the bug before fixing - Don't trust the first passing test suite, and verify suspicious looking half-baked tests - Never stop at just editing, keep working until the change is verified complete. We then asked this modified harness to fix a real bug from our repo, and compared the results to the original Cline agent harness. Results: - Used 2.7x fewer tokens (19.7M → 7.2M) - Finished 2x faster (49min → 24min) - Cost 2.4x less ($7.69 → $3.25) Same Muse Spark 1.2 model, same task, only the prompting changed. Incredible how much of a performance gain Meta was able to achieve training it on these special instructions!

1/ Over the past few weeks, we rebuilt CyOps from the inside out. We consolidated 15 branch tips and used a sanitized handoff from another Codex session to preserve decisions, security invariants, test evidence, and remaining risks. Here’s what changed. 🧵

On January 15, 2025, Falcon 9 successfully deployed Firefly Aerospace’s Blue Ghost Mission 1 and ispace’s RESILIENCE lunar landers on a trajectory to the Moon from pad 39A in Florida. For most of our missions, we plan a controlled deorbit of the Falcon second stage so it safely reenters over the ocean. For higher energy missions like those to a lunar transfer orbit, nearly all performance on the vehicle is devoted to successfully placing the payload in the intended orbit, and a controlled disposal maneuver is not always possible. We actively work to be as responsible as possible with hardware left in space to ensure space safety, including for more complex missions. In this case, over time, solar activity and gravity led the second stage toward the Moon. Impacts like this are rare, but they can happen with objects in these types of orbits, and we worked with NASA on the optimal disposal solution. Our focus remains on advancing reliable access to space while working toward even more sustainable operations with Starship in the future. As a fully reusable vehicle, Starship is designed to eliminate expendable upper stages entirely, reducing hardware left in orbit and enabling even more missions to the Moon, Mars, and beyond.

Tomorrow will be my last day at Google after 27 years, and watching it grow from 25 people to 190,000+ has been an amazing journey. Below is a note I shared with many people internally at Google today. An excerpt is: It has been an absolute pleasure to work with you and to help build some of the most widely used and impactful products of all time. As a kid, I dreamed of helping build software that would be used by many people, and Google now has thirteen products used by more than a billion people (amazing!). Our work has had a tremendous impact in the world, and I have been lucky enough to collaborate and form friendships with many colleagues that I deeply admire, respect, and enjoy. It still brings me joy every time I see people out in the world using our products to find information, handle email, translate documents, watch videos, learn new things, navigate and understand the physical world, browse the web, use their phone, run large-scale computations on our infrastructure, ride in an autonomous vehicle, or perform complex tasks with the help of our AI systems. I hope you all share this sense of joy, because it is a shared accomplishment! Thank you to all of my colleagues at Google over many years! Now I'm excited to go start @DiscoLoopAI with my longtime friends and colleagues @Sanjay_Ghemawat, @OriolVinyalsML, and @quocleix. (Updated post: slightly redacted to not have some personal info)