#BLACKPINK# ‘붐바야 (BOOMBAYAH)’ M/V HITS 1.7 BILLION VIEWS @YouTube BLINKs worldwide, thank you so much! 🎥‘붐바야 (BOOMBAYAH)’ M/V #블랙핑크# #BOOMBAYAH# #붐바야# #MV# #1_7BILLION# #YOUTUBE# #YG#

#BLACKPINK# 'How You Like That' DANCE PERFORMANCE VIDEO HITS 1.7 BILLION VIEWS @Youtube BLINKs worldwide, thank you so much! 'How You Like That' DANCE PERFORMANCE VIDEO 🎥 #블랙핑크# #HowYouLikeThat# #DANCEPERFORMANCE# #안무영상# #1_7BILLION# #YOUTUBE# #YG#

Infosys, whose Finacle platform supports over 1.7 BILLION accounts, is partnering with Chainlink to bring institutional finance onchain. Infosys already helps banks run their technology. It can now help them connect those systems to blockchain markets using Chainlink. That’s the part people should pay attention to. Swift. UBS. Mastercard. DTCC. Now Infosys. The institutional relationships keep expanding, yet $LINK still trades roughly 75% below its 2021 ATH. I find that disconnect fucking absurd. To me, this remains one of crypto’s most asymmetric opportunities.

The dark, layered Vishnu Schist at the bottom of the Grand Canyon formed approximately 1.7 billion years ago, exposed today only because the younger rock layers above it were eroded away.

Google $GOOGL bought YouTube for $1.65 Billion back in October 2006 YouTube brought in $11.1 Billion of revenue from just ads last quarter 1.7 billion unique viewers watched World Cup content on Youtube during Q2

NEW: @Infosys (NYSE: INFY), the $40B+ global IT leader, enters a strategic partnership with Chainlink to accelerate institutional onchain finance. Infosys supports critical banking and payments infrastructure for more than 1.7 billion customer accounts worldwide and is now standardizing the adoption of the Chainlink platform: • Cross-Chain Interoperability Protocol (CCIP) • Chainlink Runtime Environment (CRE) • Automated Compliance Engine (ACE) • Proof of Reserve • Data Streams • Data Feeds Together, Infosys and Chainlink are creating a path to connect the world’s largest financial institutions to onchain markets. Infosys 🤝 Chainlink

"ClickHouse can't do joins" — is that actually true? 🏎️ A no-tuning, same-query benchmark across three platforms makes for a fun read. Title: Join me if you can: ClickHouse vs. Databricks vs. Snowflake — Part 1 URL: 🏎️ Overview A benchmark comparing ClickHouse, Databricks, and Snowflake on join-heavy SQL workloads using identical queries and data, from 721M to 7.2B rows — testing the conventional wisdom about join performance. ❓ Challenges Solved ClickHouse is known as a fast analytics DB, yet there's a persistent belief that "it can't do joins." ・That belief often becomes a reason to drop ClickHouse when choosing an analytics stack ・This post checks whether it's true via a same-conditions three-way comparison 💡 Methodology ・Reproduces an existing "coffee shop" benchmark that originally compared Databricks and Snowflake ・Runs the 17 join-heavy queries on ClickHouse Cloud with minimal changes ・Key detail: no tuning at all — not the queries, not the ClickHouse side ・Each query run 5 times with the fastest reported, across 2-16 node configs (AWS) 📊 Experimental Results ・721M rows: most queries finish in under 1 second — 3-5x faster than alternatives at lower cost ・1.4B rows: one query joins and processes 1.7 billion rows in just 0.5 seconds (competitors need 5-13s) ・7.2B rows: even complex queries finish in seconds, not minutes It shows ClickHouse handles large multi-table joins efficiently without special configuration. #ClickHouse# #Database#

Today, we announced a new 165 MW data center in Mikkeli, Finland, in partnership with Compute Nordic Finland. Construction of the first 50 MW is already under way. Two things make this project special to me: First, we designed the Mikkeli data center to give back. The facility is designed to capture the heat our computers generate so the community can use it, and the water that cools our systems gets recirculated instead of drawn from the town's supply. Second, it creates long-term jobs. An estimated €1.0–1.7 billion will be invested into the region and it will create up to 250 permanent technical jobs in South Savo. Thank you to Compute Nordic Finland, the City of Mikkeli, and our network of Finnish partners for helping bring this to life.

An F1 game generated entirely by Opus 5. It built its own tooling to grade its work. 3 permanent tools, 136 single purpose, and over 2,000 screenshots. We let it run for 19 hours. 137 agents, 1.7 billion tokens, $1,200 in usage. See the results