The Day I Became an Engineering Manager, My Greatest Strength Became My Greatest Weakness
The transition from engineer to engineering manager isn’t a promotion. It’s a complete rewiring of how success is measured.
The transition from engineer to engineering manager isn’t a promotion. It’s a complete rewiring of how success is measured.
CD sales are apparently going up, reportedly thanks to fans realizing they’re an affordable way to support their favorite artists. According to a new report from research firm Luminate, 16.3 million CDs were sold in the first half of 2026 in the US, a 16 percent increase year-over-year. The growth in CD sales was driven…
There are a lot of things that we have written about at Smart Data Collective since Ryan acquired the site 10 years ago. It is clear that cloud technology is becoming more important for companies that need safer, more organized, and more reliable IT asset recovery services. SentinelOne reports that ransomware attacks hit 78% of…
Why we like it: Dr. Christopher Tolmie, DDS, MBA, of PDS Health, recommends this whitening toothpaste, saying, “Instead of peroxide, it uses nano‑hydroxyapatite, the same calcium‑phosphate crystal your enamel is made of, to lift surface stains. Healthier enamel means fewer bacterial highways into the rest of your body.” Tolmie also cites a 2021 randomized clinical…
Hello guys. I want to introduce my recent research presented at ICML workshop. github link : genji970/SRM-LoRA: official implementation of "SRM-LoRA: Sub-Riemannian-Metric Updates for Mitigating LLM Hallucination in Low-Rank Adaptation" ICML2026 Workshop FoGen Shot summarization of Paper. """ SRM-LoRA is a sub-Riemannian-inspired LoRA method designed to reduce LLM hallucination. It builds a sensitivity-based Riemannian metric…
Google doesn’t specify what the usage limits are on the free tier—it describes them only as “standard.” You then get 2x these “standard” limits on the AI Plus plan, and 4x on the AI Pro plan. The AI Ultra limits are either 5x or 20x higher than those on AI Pro, depending on which level…
Knowledge bases that ground agents and generative AI applications over your enterprise data are hard to build at scale. Teams typically stitch together connectors, parsers, vector stores, knowledge graphs, and retrieval logic, then operationalize all of it for production. Each piece brings its own challenges. You must decide which data sources to connect and how…