Show HN: NanoEuler – GPT-2 scale model in pure C/CUDA from scratch
THE SO WHAT
A GPT‑2 scale model in pure C/CUDA is another data point that core LLM capability is becoming a systems programming problem, not just a Python/ML stack. If you run performance- or security-sensitive workloads, start mapping where lean, self-hosted models could replace heavier, opaque stacks.
READ THE SOURCE
MORE FROM THE WIRE
Applied AIPartnering with Edelbyte: Data Infrastructure That Keeps Up With AI's Curiosity
If agents are going to hammer your internal systems with orders of magnitude more queries than humans ever did, the real constraint becomes data infra cost and latency, not model quality. Teams building agents should be budgeting for a new class of OLAP-style infra like Edelbyte’s, not assuming the existing warehouse can take the load.
Applied AITech Investor Dan Niles: AI Revenue Slowdown Demands Stock Picking
If public AI names are seeing revenue growth pressured by open-source competition and delayed IPOs, private vendors selling “AI premium” contracts should expect harder pricing conversations. Operators should assume buyers will scrutinize AI line items and demand clearer ROI over the next 12–18 months.
Applied AIFiling: Airbnb discloses that it has the option to invest in and license tech from CEO Brian Chesky's stealth AI lab; source: Chesky has self-funded it so far
A founder self-funding a stealth AI lab with an explicit option for the core company is a bet that differentiated models or tooling become product edge, not just back-office efficiency. If you run a consumer platform at scale, the bar is rising from “use off-the-shelf AI” to “own at least one proprietary wedge in the stack.”
Applied AIOpenAI is stepping back from NDAs for data center projects
Dropping NDAs with public officials on data center projects is a shift toward more transparent, political infrastructure building. If you’re planning large compute footprints, assume community, labor, and energy concessions become part of the standard deal structure, not an afterthought.