AI 资讯
Presentation: Building Evals for AI Adoption: From Principles to Practice
Mallika Rao discusses the hidden risk of evaluation debt in production AI systems, drawing on her experience at Twitter, Walmart, and Netflix. She explains why traditional metrics fail modern architectures, breaks down a five-layer evaluation stack spanning infrastructure and UX, and shares a diagnostic maturity model to help engineering leaders eliminate silent semantic failures. By Mallika Rao
AI 资讯
AI-Assisted Migration Tool Helps Teams Move from ingress-nginx to Higress in Minutes
The Cloud Native Computing Foundation has highlighted a new AI-assisted migration approach that enabled engineers to migrate 60 ingress-nginx resources to Higress in roughly 30 minutes, demonstrating how artificial intelligence is increasingly being applied to modernize Kubernetes networking and gateway infrastructure. By Craig Risi
AI 资讯
How the Pope’s Magnifica Humanitas offers a template for individuals to meet the AI moment
Pope Leo XIV’s new encyclical on artificial intelligence includes a statement that warrants serious attention from technologists and policymakers: “Technology is never neutral.” Magnifica Humanitas (“Magnificent Humanity”) is a clarion call to all people to act with courage and solidarity as we enter an age already being transformed by artificial intelligence, the greatest change in…
AI 资讯
Apple working to cram massive Gemini model into iPhone to power new Siri
As Apple tries to shrink Gemini for the iPhone, a cloud component is probably inevitable.
AI 资讯
Trump loses more control over AI regulation as Illinois passes landmark law
Here’s why Anthropic and OpenAI are on board with Illinois safety testing.
AI 资讯
Here Comes Ojai, Waymo’s New Chinese-Made Robotaxi
The pale-blue Ojai vehicles will start picking up members of the public in California and Arizona today.
AI 资讯
RSI is the new AGI — and it’s just as hard to pin down
A new crop of AI labs are focused on recursive self-improvement — but the goal is proving elusive.
AI 资讯
Accountability is the Goal for AI, with EU Regulations Supporting Transparency
AI bias mirrors human bias; both stem from our language and lived experiences. Ethics and AI are inseparable, but AI changes affordances, making harmful actions easier to carry out. The EU regulations apply to AI, since digital products are products. The ultimate goal is accountability: companies must ensure transparency, and laws should favor using the simplest AI that gets the job done. By Ben Linders
AI 资讯
New Moms Are Returning to Coding Jobs Radically Reshaped by AI
New mothers working in software development are staring down an AI-pilled workplace they barely recognize.
科技前沿
Amazon Thinks the Future of Data Centers Depends on a Technical Problem It Just Solved
The tech giant says a breakthrough in data-center networking has dramatically accelerated the flow of information through its massive cloud infrastructure.
AI 资讯
The AI Hype Index: AI gets booed in graduation season
It is one thing to say AI will change the world. It is another to expect the class of 2026 to applaud it. In fact, when former Google CEO Eric Schmidt told University of Arizona graduates that their task is to help shape AI, he was met with a resounding chorus of boos. “I can…
AI 资讯
Illinois Lawmakers Just Passed America’s Strongest AI Safety Bill
The bill requires companies like OpenAI, Anthropic, and Google to have third parties confirm they’re following safety standards. Illinois governor JB Pritzker says he’ll sign it.
产品设计
Huawei's ‘Chip Queen’ Throws Down the Gauntlet
The Chinese company is adapting to the demise of Moore’s Law, which guides chip production. It could complicate US chip dominance.
AI 资讯
YouTube to begin automatically labeling AI videos
AI videos that are animated, unrealistic, or only have a little AI may still hide their origins, though.
AI 资讯
Former Google and Apple Researchers Launch a Startup to Build AI’s Missing Feedback Loop
Trajectory is betting the rapid iteration cycle that supercharged vibe-coding can help all kinds of companies build AI products that learn continuously.
AI 资讯
Presentation: Designing AI Platforms for Reliability: Tools for Certainty, Agents for Discovery
Aaron Erickson discusses the evolution of AI workflows, shifting from "vibe checking" to building reliable, multi-agent frameworks. He explains how to combine deterministic software guardrails with agentic discovery, optimize agent hierarchies, leverage time-series foundation models, and implement rigorous evaluation pyramids to ensure architecture scales effectively in production. By Aaron Erickson
AI 资讯
Sarang Kulkarni on Lessons from Building Deep Research Agents in Production
Deep Research Agentic Systems are AI Agents designed to conduct multi-step research for complex tasks using dynamic reasoning, multi-hop information retrieval, and generate structured analytical reports. Sarang Kulkarni from Thoughtworks spoke at Arc of AI Conference 2026 on how to deploy multi-agent research systems for deep reasoning, and the lessons learned from developing Deep Research Agents. By Srini Penchikala
AI 资讯
Rethinking organizational design in the age of agentic AI
Amid rapidly growing adoption of enterprise-level AI agents, there’s a disconnect emerging between ambition and execution. Although 85% of organizations say they want to be agentic within the next three years, 76% say their current operations and infrastructure can’t support that change. They cite a lack of readiness across people, processes, and workflows. The sticky…
AI 资讯
Google Expands SynthID Adoption for AI Watermarking, Previews Content Detection API
Google's SynthID, designed to embed imperceptible signals into AI-generated content, is adding a new Content Detection API on Google Cloud's Gemini Enterprise Agent Platform, after gaining adoption by several industry players including Nvidia and OpenAI. By Sergio De Simone
AI 资讯
It’s time to address the looming crisis in entry-level work.
Artificial intelligence has not so far produced a clean story of mass unemployment. Aggregate employment in developed countries remains broadly stable, and recent assessments have found limited evidence that AI has shifted the headline numbers. But a troubling change may be hiding beneath the surface: the quiet weakening of the first rung of the career…