submitted by /u/andix3 [link] [留言]

macOS Golden Gate will add Siri AI into Spotlight.

Apple says a completely rebuilt Search function will competently find the emails, photos and other content you are searching for.

Amazon is expanding its print-on-demand features to AI-generated designs created using Alexa for Shopping for products like T-shirts, water bottles, and hoodies. Shoppers can use text prompts to generate images that are then printed on to blanks for sale on Amazon. They can then share the link to the design so other people can buy […]

Today at Apple's Worldwide Developers Conference, the company announced new features coming to the iPad with iPadOS 27 including optimizations such as apps launching up to 30 percent faster by intelligently preloading needed info, and more responsive switching between multiple apps. As with the new versions of Apple's other operating systems launching this year including […]

A client of mine is starting a business and needs a CRM. Core functionality is to manage different professionals and assign customers to professionals to make appointments and manage agenda for each professional. I will assist this business on the software side and I am fully capable of developing a custom CRM on my own but it’s not convenient for time/money constraints. I have looked for open source CRMs I can extend so I don’t waste time on UI and common features. Are there products which can save development time? I wanted to evaluate Calendly and integrate it in the final solution, do you have any experience with this product? I would also evaluate existing products but open source I can fork would be best submitted by /u/Umberto_Fontanazza [link] [留言]

The conversation around AI coding is still stuck on velocity and its completely missing the real operational bottleneck -> DEBUGGING I use a combination of tools like GitHub Copilot, Cursor, and generic agentic code gen tools(whichever give me the most credits that week) , dropping a 300-line functional block from a natural language prompt takes about a minute. On paper, developer velocity should have been increased by 69 times. but i feel like the bottleneck hasn't disappeared; it just shifted down the pipeline. Like i traded manual work for incredibly frustrating debugging. LLM code looks fine on surface but like when u go through line to line, you feel like its built on sand i mean sure if it works it works but like one thing i struggle with is ghost features, like if i accidentally suggest a feature then the LLM is gonna shove it in my code, even if i say no later on. (if someone knows how to fix do dm) idk about ya'll but i'd much rather have a ai llm that takes like 1 hour to write 500 lines of code if that means i have to debug less. another thing how are you handling validation boundaries? are u using runtime timeout scripts or smth open source like gitagent? also this is gonna sound weird but i kinda have trust issues when a llm spits like 300-400 lines in under a minute (idk why) sorry for my bad english, im not a native speaker submitted by /u/SpicyTofu_29 [link] [留言]

The British government thinks a state-backed infrastructure initiative will help supercharge homegrown chip startups.

At WWDC 2026, Apple resurrected its AI-powered voice assistant, now named Siri AI.

Dearth of original ideas, lots of pointless retro stuff like "I did x on mac os classic" lots of reinventing the wheel with LLMs and LLM cargo culting. What is the perpetual growth myth to do once physics is known and energy is constraining?

Apple is beefing up parental controls to address concerns about child protection.

Two years after first revealing its plans for Apple Intelligence and a smarter Siri that never fully materialized, at WWDC, Apple just revealed a new set of AI features and a smarter, more personalized Siri. Apple calls Siri AI an "entirely new version of Siri" and says it's both more conversational and more capable than […]

I started working on numpy-ts last year and began serious performance optimization in February. These are some of the challenges and lessons from this project. Some/all might be obvious - lmk what you think! Disclaimer: numpy-ts was written with some AI assistance. Please read my AI disclosure for more details. submitted by /u/dupontcyborg [link] [留言]

submitted by /u/Adventurous-Salt8514 [link] [留言]

The code WIRED identified is gone from the latest version of Meta AI, the companion app for the company’s smart glasses. Meta won’t say why or whether it’s coming back.

App launches, AirDrop and other features are getting a massive speed boost on Apple's new OSes.