submitted by /u/andix3 [link] [留言]

SpaceX alumni Andrew Redd is betting the ocean has vast amounts of untapped geothermal energy.

Set across mid-twentieth century Japan, RGG's latest has an entirely new fighting system.

Brutal self-assessment paints a picture of a Microsoft gaming division in crisis.

HELLO r/webdev , I GOT MY FIRST FREELANCE GIG =D! I was lucky enough to be in the right place at the right time, mentioned I am studying a degree in IT specialising in Web dev and design and was asked to make their e-commerce website for their new business. I am so happy and so excited, but I also have my worries. I'm worried I mess something up, especially when it comes to payment processing and data privacy. Is there ANY advice you can give a newbie, ESPECIALLY someone who is doing their first commissioned website. I'm just so anxious that I leak user data, don't put up the correct legal things (like privacy policies, etc.), mess up the storefront, all that jazz. Is there anyone who can maybe give me some helpful advice? I'm based in South Africa if that helps. submitted by /u/dvjar [link] [留言]

Apple is more focused on delivering usable features with Siri AI, instead of hyping up agentic AI. That's a good thing.

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

Everyone talks about reasoning, agents, and larger models. But the more I learn about AI systems, the more I think we're missing something fundamental: AI doesn't accumulate experience the way humans do. A senior engineer isn't valuable only because of raw intelligence. They're valuable because years of experience have shaped how they think. They're valuable because they've spent years building mental models, learning from failures, recognizing patterns, updating beliefs, and connecting knowledge across thousands of experiences. That accumulated experience becomes a competitive advantage. Modern AI systems are different. They can solve difficult problems, write code, and explain complex concepts, yet most of what they "know" remains largely fixed after training. New information is often handled through context windows, retrieval systems, databases, or retraining pipelines rather than being integrated into a continuously evolving understanding of the world. This creates an interesting question: Can intelligence continue to scale if experience doesn't? Humans become more useful over time because experience compounds. An AI that could reliably learn from interactions, update its worldview, resolve contradictions, remember what matters, forget what doesn't, and improve without catastrophic forgetting might represent a larger leap than another increase in parameter count. Maybe the next frontier isn't making AI smarter. Maybe it's making AI capable of growth. Do you think future breakthroughs will come primarily from better reasoning models, or from systems that can continuously learn from experience? submitted by /u/Shreyansh_awasthi01 [link] [留言]

The spaceman wears Prada.

Today, I’m proud to announce Homebrew 6.0.0. The most significant changes since 5.1.0 are a new tap trust security mechanism, the new faster, smaller, default internal Homebrew JSON API, sandboxing on Linux, better defaults informed by our user survey, many brew bundle improvements, improved performance and initial support for macOS 27 (Golden Gate). Happy to discuss any questions here!