AI Chip Architectures

At the 2018 International Symposium on Computer Architecture, John Hennessy and David Patterson delivered their Turing Lecture: “A New Golden Age for Computer Architecture”. … The closing prediction: “the next decade will see a Cambrian explosion of novel computer architectures.”

This prediction came true. Today, we now have dozens of architectures in serious development. GPUs, TPUs, LPUs, NPUs, DPUs, ASICs, wafer-scale engines, reconfigurable dataflow, neuromorphic, photonic, analog. Particularly, these architectures focus on compute for AI.

… This post aims to survey these varying approaches – their philosophy, architecture, scaling methods (scale-up and scale-out), and software stack (how you program the chip). — Read More

#nvidia

Three AI Pioneers Clash Over Jobs, Regulation And The Future Of AI

Three AI pioneers—Geoffrey Hinton, Fei-Fei Li, and Andrew Ng—debated AI’s future at Ai4 2026, revealing deep divisions despite agreeing on its transformative power. Hinton warned of AI’s rapidly advancing dangerous capabilities and significant white-collar job displacement, citing call centers as vulnerable. He views regulation as a crucial “steering wheel” and is wary of open-weight models’ misuse. Ng countered, arguing AI redefines job tasks rather than eliminating roles, and accused large companies of exaggerating threats to stifle competition, advocating for open models to prevent gatekeeping. Li called for a nuanced discussion, focusing on task transformation over job replacement, emphasizing that productivity gains don’t automatically lead to shared prosperity. She urged sector-specific regulation and public investment, cautioning against fear-mongering that paralyzes innovation. Their divergent views highlight a field entering a complex new phase regarding risks, benefits, and societal impact. — Read More

#strategy

The New MCP Roadmap

An update on the Model Context Protocol roadmap and focus areas for upcoming specification releases.

Today we’re excited to publish an updated roadmap for the Model Context Protocol (MCP), covering the next specification release and beyond.

It sets the direction for protocol work over the coming months and was developed by the Core Maintainers together with our community of maintainers and Working Groups. — Read More

#standards

The Evolution of the Agent Harness

Sometime around Christmas 2025, AI engineers noticed a change in agents. They started to work! It’s hard to pin down exactly why. Maybe we finally had holiday downtime to try the newest agents with the newest models. Maybe the models had crossed some capability threshold. Maybe the wrappers around the models had matured.

What I’ll argue in this post is that it was the confluence of the last two. The model and the harness improving together and then their curves of improvement crossing at the right moment. And that dynamic helps to explain what comes next: models keep absorbing the harness into their weights, engineers keep deleting what got absorbed, and what remains is a harness for human attention rather than for the model. — Read More

#architecture