Yes, I'm calling it out. It IS racism. As an active member of r/MachineLearning and a researcher who is ethnic Chinese, I am DISGUSTED by unfounded accusations against the group of researchers who constitute over half of the field. Such posts pop up every other week, grounded in conspiracy theories, and creating a sinophobia echo chamber. I understand the salty feeling when one's paper is rejected, no matter whether the paper actually deserves acceptance or not. Given the noise in conference organization and reviewing process, and a relatively junior body of participants, it is very likely that one finds a paper "worse than mine" slip into the conference, and there's a high chance that the paper has a Chinese author. That's simply because of the composition of the authors, and does not warrant accusations, aka witch hunts, towards certain ethnic groups. This sub is about an important scientific subject in the modern world. If anyone agrees with the logic "80% of the authors are Chinese, so my rejection is their fault.", they should seriously rethink their career plan since such thinking does not belong to serious scientists. We should be open to discussing the problems we have in the current conference organization and reviewing process, but racism should not have a foothold in our field. submitted by /u/AffectionateLife5693 [link] [留言]

Home and Shortcuts are not immune to Apple's AI upgrades.

Apple is putting control back into the hands of parents with more granular screen time features.

Apple's OSes come with Liquid Glass tweaks and performance optimizations.

Apple Intelligence will soon be able to watch browser tabs and update passwords.

Siri will soon be able to provide something like to the standard chatbot experience.

Cycle tracker will now notify women when their cycle patterns are suggestive of perimenopause.

Apple's new dictation system could compete with Wispr Flow and others.

The idea behind the new "Siri AI" is to turn the assistant from a voice controlled assistant into an AI companion that can do a lot more.

At WWDC 2026, Apple announced an overhaul to its Screen Time parental control features that aim to improve its safeguarding features to protect children who use iPhone, iPad, and Mac devices. Some of the new features coming with Apple's iOS 27, iPadOS 27, and macOS 27 updates include giving parents and guardians more control over […]

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]