Retail has always loved a good dashboard. It’s comforting: neat charts, tidy KPIs, and enough color gradients to make a PowerPoint feel like a work of art. But dashboards also come with an inconvenient truth: they’re often where insights go to… wait. Wait for a specialist. Wait for the next refresh. Wait for someone to…
Cutting Through the AI Coding Hype (Without Cutting Corners): What Developers and Biotech Teams Should Actually Watch in 2026
AI coding is now everywhere. If you can open an IDE, you can probably also open a dropdown full of copilots, agents, “plan modes,” and chat panes that promise to turn your backlog into a vaguely working demo before lunch. And yet, for all the hype, a stubborn reality remains: software engineering is still an…
NeurIPS 2025’s uncomfortable RL lesson: depth beats “more data” (plus gated attention, diffusion anti-memorization, and the rise of the AI hivemind)
NeurIPS papers have a funny habit: they don’t just propose a new tweak, they quietly invalidate your last six months of engineering decisions. And while the 2025 conference (held in early December 2025 in San Diego) produced its usual flood of cleverness, a handful of works did something more interesting: they attacked the comfortable assumptions…
Cutting Through AI Coding Hype (Without Cutting Yourself) — and the Biotech Trends Worth Watching in 2026
On January 16, 2026, MIT Technology Review published an edition of its weekday newsletter The Download titled “The Download: cut through AI coding hype, and biotech trends to watch”, credited to Rhiannon Williams. The piece is a compact two-for-one: a reality check on AI coding’s claims of effortless productivity, and a quick scan of biotech…
Infrastructure for AI Is Finally Getting a Standard: What Kubernetes AI Conformance Means (and Why You Should Care)
AI infrastructure has spent the last couple of years doing its best impression of a garage-band soundcheck: loud, experimental, and held together by duct tape. Lots of innovation, sure—but also lots of “works on my cluster” energy. That’s why a new move from the Cloud Native Computing Foundation (CNCF) is quietly a big deal: the…
Retailers Bring Conversational AI and Analytics Closer to the User: Why “Chat With Your Data” Is Suddenly Retail’s Most Profitable Interface
Retail has a long-standing love affair with dashboards. Beautiful, colorful dashboards. Dashboards with just enough filters to make you feel powerful and just enough dropdown menus to make you question your career choices. But as anyone who has tried to make a pricing or assortment call at 5:47 p.m. on a Friday can tell you:…
Agentic AI Security: Why Your New “Helpful” Digital Coworker Needs Least Privilege, Logs, and a Chaperone
Agentic AI is the new office intern who somehow has root access, an expense card, and the confidence to “just ship it.” If that sentence made your security team spill coffee, you’re not alone. In an excellent OVHcloud Blog post, Julien Levrard (CISO, OVHcloud) breaks down agentic AI “from a security perspective” and, crucially, does…
Listen Labs’ $69M Series B: The Billboard Stunt Was Funny — the AI Customer-Interview Platform Scaling to One Million Interviews Isn’t
Silicon Valley has a long and proud tradition of doing extremely normal things to recruit engineers. You know: catered dinner talks, GitHub stars, the occasional “we have a foosball table” lie. Then there’s Listen Labs, which apparently looked at that playbook, set it on fire, and replaced it with a mysterious billboard full of five…
Symbolic.ai and News Corp: The AI Newsroom Deal That Turns “Experiment” Into Infrastructure
On January 15, 2026, TechCrunch reported that the AI journalism startup Symbolic.ai has signed a deal with Rupert Murdoch’s News Corp—with an initial deployment focused on Dow Jones Newswires. The item was written by Lucas Ropek, and it’s the kind of two-minute read that quietly signals a much bigger shift: newsrooms aren’t just “trying AI”…
Breaking Through AI’s Memory Wall: Token Warehousing, KV Cache Economics, and the New Bottleneck in LLM Inference
For the last few years, the AI infrastructure story has been easy to summarize: buy more GPUs, pray the supply chain cooperates, and hope your CFO doesn’t discover what “H100” means in dollar terms. But as agentic AI systems move from demos into production—tools that plan, remember, call APIs, and keep working across long sessions—another…