标签：#art

I have been using video generation models for a long time, especially Seedance 2.5. I find the understanding of prompt is still very weak even in the strongest model. One most ridiculously simple mistake is Seedance misspelled the words in the video. I think I can fix it with emphasizing it. But it failed again. LLM may hit a wall now but apparently video generation model has not. submitted by /u/AthleteArtistic3121 [link] [留言]

Zooming in on your kid's performance in the school play is about to get a whole lot easier. It's going to look better, too.

Make the most of Disrupt's crowds of potential investors and partners by exhibiting your startup from October 13-15.

Anyone else actually dealt with this? Is it overblown, or am I missing something? submitted by /u/Positive-Ad3618 [link] [留言]

At TechCrunch Disrupt 2026, Replit CEO Amjad Masad will share his perspective on the future of programming and Replit's role in developing it.

Apply before September 4 to be a part of the TechCrunch Disrupt community by hosting your own Side Event.

Hi! Not sure if this community is suitable for this, if not, please let me know and I will take it down. My parents love sharing online content with me, we love animals so a lot of that is cute animal stuff, and lately I've been getting a lot of AI cats. I gave them some hints so they spot the obvious ones but not all the time. We haven't yet had an election cycle with AI content being this common, and it scares me a bit. I appreciate your support! submitted by /u/hakansan [link] [留言]

submitted by /u/esporx [link] [留言]

This article is from Making AI Work, MIT Technology Review’s limited-run newsletter examining how to apply LLMs across industries. To receive it in your inbox, sign up here. Chatbots took many schools by surprise upon their release a few years ago. Suddenly, students carried an app in their phones that could magically answer almost any…

Seven and half years after blocks arrived in Core, WordPress introduces a way to build blocks without React annd build pipelines. All you need is PHP. WordPress PHP-Only Block Registration originally handwritten and published with love on CSS-Tricks . You should really get the newsletter as well.

Berry Street founder Noah Kotlove and Healthify founder Tushar Vashisht will act as co-CEOs of the new entity.

You probably know how it goes: you give a complex prompt to a LLM, it spits out a highly confident answer, and you just sort of... hope it’s right. If you ask the same question in a different tab, Claude might give you a completely different answer. Gemini might say they are both wrong. I've done it this way for a long time, and many of my friends seem to do the same. I wanted to see what happens if you don't just compare answers, but actually bring AI models into a shared chat to discuss the question together. Here is how it went when they could discuss each other's replies in real-time: - ChatGPT went first. It wrote a beautiful, highly structured, and completely wrong answer. It hallucinated a tax rule that didn't apply to the prompt. - Claude stepped in next. It immediately flagged GPT’s tax hallucination, but overcorrected and messed up the final math equation. - Gemini acted as the final Judge. It took ChatGPT’s original structure, applied Claude’s logical correction, fixed the math, and spat out a flawless final output. The takeaway: Letting an AI model review itself is like a student grading their own work. It just repeats the same assumptions. When you force different models (OpenAI vs Anthropic vs Google) to fact-check each other, they actually expose each other's blind spots and hallucinations. I got so obsessed with this multi-AI workflow that I built a site to let these models debate in real-time without having to copy-paste between different tabs (I posted about it earlier here). If anyone wants to try it or testing their own complex questions, curious to hear what kind of workflows you guys would use it for. submitted by /u/capibara13 [link] [留言]

With two cameras and built-in climate sensors, the Birdfy Nest Duo let me watch an entire nesting season unfold.

Asgaut Mjølne Söderbom and Ola Hast discuss the evolution of their software engineering practices past continuous deployment and pair engineering. The conversation continues where it left off in the previous episode and focuses on the experiments in adopting Claude Code and the reasons why they consider it good for everything else, but not coding. By Asgaut Mjølne Söderbom, Ola Hast

Shift-left and DevOps have impacted how we flow changes from inception to production, but at the cost of increased cognitive load and duplication of effort across testing, security, and maintenance. This article explores the real-world challenges of rightsizing developer platforms and finding a cultural match for engineering teams who use them to reduce cognitive load and deliver change faster. By John Keates

Tethered display glasses are truly practical face computers. They trade bulky spatial computing for simplicity: Plug in, recline, and get a massive screen right in front of your nose.

These WIRED-tested dual-purpose air purifiers also function as heaters, fans, art pieces, and more, offering the best of both worlds.

The deepfake epidemic in schools is affecting more than students. Four teachers tell WIRED about becoming targets of sexualized, AI-generated content—and how difficult it was to find accountability.

People have been talking to each other for at least 100,000 years, as best we can tell. And in all that time, there has been only one thing in the world that could learn a human language to perfect fluency: a human child. Now there are two. Four short years after the release of ChatGPT,…

🚀 From FlipaClip to SitePoint: The Full Story of Kehinde Owolabi How a Nigerian teenager built a professional game engine with borrowed laptops, offline W3Schools, and pure determination. 🎮 Play the Game Try Limn Engine Live — Space Shooter Demo See what 4 years of determination built. This space shooter runs at 60 FPS on a Tecno Pop 4 with 1GB RAM. 📖 Introduction Every developer has an origin story. Some start with a fancy computer and a computer science degree. Others start with a flipbook app and a sister who trusted them with her phone. My name is Kehinde Owolabi . I'm 18 years old (born December 4, 2007), and I live in Lagos, Nigeria. I'm currently in PC103 at BYU Pathway, and I'm a member of The Church of Jesus Christ of Latter-day Saints. I built a 94/100 professional game engine called Limn Engine. It runs at 60 FPS on a Toshiba with 4GB RAM. It was published on SitePoint and ranked #3 among 2D JavaScript game engines. Nobody knew it was developed on a Chromebook, a borrowed Thinkpad (behind my sister's back), and a Toshiba that "hung like hell." That was the secret I kept for months. But that's only one part of this story. This is the full story of how I went from a button phone to a 94/100 game engine, from FlipaClip to SitePoint, from a boy who failed physics to a developer who built something that runs on a Tecno Pop 4. The one-line summary: "I'm Kehinde Owolabi, an 18-year-old developer from Lagos, Nigeria who went from FlipaClip to building a 94/100 game engine on borrowed laptops — and got published on SitePoint." 🎮🚀 🎨 The Beginning: FlipaClip and the Spark of Creativity Before I was a developer, I was an animator. I used FlipaClip — a simple animation app on mobile — to create flipbook-style animations. I loved bringing characters to life, frame by frame. I would spend hours drawing, tweaking, and watching my creations move. That creative spark stayed with me. I wanted to create interactive experiences. I wanted to build games. But I didn't know how.