A new restriction on foreign-made mobile robots affects robotic vacuums, pool cleaners, and lawn mowers. Here’s what it means for the bots already in your home—and the ones you may never get to buy.

Amid rumors of Google breakup, Huffman says "people don't want a summary of reddit, they want reddit."

Reddit's financial situation is looking good but uncertainty about its relationship to Google and the new AI-ified web are stirring market concerns.

Give me a mixtape, and hold the tape.

submitted by /u/pdoherty926 [link] [留言]

Amazon isn't slowing down on data center spending — but investors don't seem to mind.

Apple said a slowdown in mobile gaming and changes to the App Store’s business model — including court-ordered payment rule changes in the U.S. — weighed on its services business, even as the company topped 1.5 billion paid subscriptions.

Apple may allow users to pay to increase their AI usage limits. During an earnings call on Thursday, Apple CEO Tim Cook said that he believes people will want to use Apple Intelligence and the upcoming Siri AI "a lot," adding that "we will have some kind of upgrade possibilities on iCloud Plus where people […]

After a massive Xbox "reset" that laid off thousands of employees and spun off four studios, Xbox CEO Asha Sharma wants to get Xbox back to growth. In a memo obtained by The Verge, Sharma told staff by the end of fiscal year 2027 (which runs through next June), "we will return XBOX to player […]

The iPhone and Mac sold well, but memory costs threaten further price increases.

You are a software engineer. Your craft honed through years of careful practice. Then suddenly, there are these chatbots and agents. Overnight, your colleagues got a new title on LinkedIn: "AI engineer". Some are already SENIOR AI engineers. You're curious about this new world, and might want to catch up and become part of it yourself. If this is you, then join me on this tour through the concepts and patterns that make up the field of AI engineering. We will find that AI application development is mostly 'just' software engineering, applied to one genuinely strange new non-deterministic component: the LLM. During the tour, we build a real application, end to end. Every article adds a new layer. We link the new patterns and words to existing software engineering concepts you already know. Before take-off, I'd like to establish one vocabulary rule used throughout: "the model" means the LLM itself (large language model, like GPT or Claude), and what AI engineers build around it will be referred to as "the application", "the agent" or "the harness". What we're building As I work at a payments company myself, I figured I'd stick to my domain. PayIQ, the application we build, is an assistant for merchants to perform payment operations: issue refunds, defend chargebacks, calculate processing fees. Give it a charge amount and a payment method, and it computes what a refund actually costs (spoiler: more than the refund amount). Ask it whether a chargeback is worth fighting, and it does the expected-value math using your knowledge base. Ask it something it can't responsibly answer, and it asks for what's missing. No guessing, no hallucinations. By the end, PayIQ will have structured outputs that can be consumed by other systems, a tool belt of financial calculators, retrieval over a knowledge base, an agent loop with persistent memory, an orchestration graph with steps the model cannot skip, token streaming behind a FastAPI service, a regression eval suite, and layered injec