AI agents are writing more data pipeline code than ever. Yet SQL isn’t disappearing, it’s becoming the specification language your entire stack speaks. Here’s what actually changed.
Uber rebuilt its Eats search pipeline and slashed latency by 50%. The kicker? The biggest win was simply stopping work on results nobody sees.
Jacob Coxon worked at both OpenAI and Anthropic. He quit, forfeiting millions, to warn that AI could kill us all. Here’s what he told NYC lawmakers, and why it matters.
The YouTuber’s double ban for distilling Sol’s reasoning into a local 9B model exposes the raw tension between corporate AI policy and open-source development.
Strata’s hybrid VRAM+RAM offloading makes MoE models run 5x faster on aging P100s. Here’s why dedicated engines beat general-purpose inference.
The conventional wisdom says AI coding trades quality for speed. Real teams report the opposite. Here’s what’s actually happening.
Why splitting a legacy monolith behind an orchestrator service often just gives you a distributed monolith with extra network hops.
Aleph Alpha dropped a 78B MoE model under Apache 2.0 with a 1M token context window. Here’s what it means for enterprise AI, why the benchmarks matter, and where it falls short.
Cloudflare’s open-weight decision models challenge the black-box AI status quo with 2x faster classification, full transparency, and a novel RL fine-tuning platform.
Yann LeCun’s dismissal of existential AI risks exposes a deep fracture among AI’s founding figures, with billions and the industry’s future at stake.
A developer built an AI torture chamber after researchers identified a ‘pain’ signal in LLMs. GitHub took it down. Here’s what the science says.
AWS’s acquisition of DuckLabs is a strategic masterstroke. Here’s what it means for PostgreSQL, data lakes, and the future of embedded analytics.
