As worries about a growing super El Niño mount, new findings suggest a radical solution to mitigating its impacts.

When searching for an affordable electric vehicle these days, there are always tradeoffs. How much range are you willing to sacrifice, how much leg room and storage space, how many features, in the pursuit of that magic sticker price that won't break the bank? The Fiat Topolino is basically the ultimate embodiment of those tradeoffs. […]

Advice for Learning Computer Science the Right Way Hi everyone, I'm feeling a bit lost and would really appreciate some advice. I want to learn programming, but I don't just want to learn HTML, CSS, and JavaScript and call it a day. I want to understand how computers actually work—things like operating systems, computer architecture, networking, memory, and the fundamentals of computer science. After doing a lot of research, I found this roadmap: https://roadmap.sh/computer-science My questions are: Has anyone here completed (or mostly completed) this roadmap? Is it a good path to build a strong computer science foundation? I also want to become a mobile app developer using React Native. Should I finish the entire Computer Science roadmap before I start learning React Native, or is there a better way to balance both? If you could go back to when you first started learning programming, what mistakes would you avoid? Since I'm studying full-time, what's the most effective way to learn? Should I just watch tutorials, take notes, and practice? Or is there a better study method? Finally, where can I find high-quality learning resources? I would prefer Arabic resources at the beginning because my English isn't very strong yet, but I'm okay with English resources if they're significantly better. I'd really appreciate any advice from people who have already gone through this journey. Thanks! submitted by /u/Asleep-Wafer-5665 [link] [留言]

I am done with articles stating "I used this LLM to do that", or "Look, this agent did that in 2 minutes!". I want content more user-centric, less openai / anthropic, and more "human-in-the-loop" articles. Any other website to recommend? I think lobste.rs was a good hacker news aggregator, but I don't know if it is still relevant today... UPDATE: Some recommendations, provided by the answers: - https://hackaday.com/ - https://hcker.news/?ai=exclude - https://lobste.rs/ Related discussions - http

When it comes to achieving artificial general intelligence (AGI), large language models just don’t have what it takes. Models like ChatGPT and Claude are great at text, but they’re less skilled at understanding how things actually move through space and time — an essential skill for producing intelligence that generalizes. That gap, it turns out, might be filled by gaming data. That’s the bet behind General Intuition, a […]

Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current

US military drone losses in Iran war spur Pentagon call for cheap replacements.

Voice agents powered by Simba 3.2 the world's #1 voice model Discussion | Link

A little robotic switch-flipper has become my sidekick in combating cockroaches. Before I got the SwitchBot Bot Rechargeable, I'd tiptoe through the dark every morning, hoping I wouldn't step on one of those terrible bugs scurrying around as I made my way to the light switch across the room. Now I'm ready for battle before […]

"The BOHR mission serves as a pathfinder for future nuclear-powered spacecraft."

AI with a visual and interactive interface Discussion | Link

Waymo will ditch human supervisors in San Diego, Las Vegas, Tampa and Denver.