AWS just made S3 accessible as a file system. This is a big deal for data engineers. Let me explain.The problem was simple but annoying.Your data sits in S3. But file-based tools can't read from S3 directly.So what did teams do?→ Copy data from S3 to a file system (or read it)→ Run the tool→ Copy results back to S3Duplicate data. Extra cost. Sync pipelines. Constant headaches.S3 Files fixes this.It makes your S3 bucket behave like a regular file system. No copying. No duplication. No syncing.You

“AI AI AI” have you actually seen a server rack or photonics & connectivity in real life ? I engineer and install data infrastructure for the last 10 years here’s a glimpse $AAOI $AMD $LITE $CRDO $ANET $ETN $VRT

White-collar jobs are getting hit harder by AI than blue-collar ones right now. Tasks like writing, data analysis, coding, research, and admin work are exactly what current AI excels at, unlike physical manufacturing work.One analysis puts white-collar automation potential at around 30%, compared to under 1% for blue-collar roles. Goldman Sachs says AI could automate 25% of all US work hours, with 300 million jobs globally exposed, though actual displacement over 10 years might be more like 6-7%