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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

7 days of unlimited Seedance 2.5 for everyone joining today. The most realistic and production-ready video model. 7 DAYS of ZERO credit cost to generate. Deeper shadows, better acting performances, next-level physics, native voice generation. 7-day unlimited access starts August 7.

‼️FLOOD THE PHONES‼️ Tell the Senate to remain in DC until the SAVE America Act is passed. Every Senate number begins w/ 202-224-XXXX. “My name is ____. My zip code is ____. I’m asking Senator ____ to remain in DC until the SAVE America Act is passed. I vote in every election.” Peacefully.

In every universe, Gwen falls in love with Spider-Man. どの世界線でも、グウェンはスパイダーマンに恋をする。 #SpiderGwen# #GhostSpider# #SpiderVerse# #Marvel# #SpiderGwenCosplay# #スパイダーグウェン# #コスプレ# #マーベル#

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.

In H1 2026, Binance's AI-driven risk systems helped protect: 🛡️ 7.7M+ users
 💰 US$4.64B in potential losses Behind every number is a scam prevented, an account secured, or a fraudulent trade stopped. Powered by AI. 🫡

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!