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

As a Data Engineer at CIA, you'll transform data into action, building scalable pipelines that deliver high-priority datasets to advance our Nation's intelligence mission.Learn more at https://t.co/havFrmiaj9.

Synthetic data was the consensus answer but Meta might have just admitted the consensus was wrong.For the last 2 years, the standard reply to "we are running out of training data" has been: generate more. Self-instruct. Bootstrap. Distill. Use a teacher model to write a student curriculum. Use a strong model to label a weaker model's mistakes. The Phi family, the RedPajama line, the synthetic-instruction papers, all real research, all useful, all assumed to be the future of the data layer.The fr