A single text prompt produced this! Amazing!
Before you ask: yes, everything is AI here. The video and sound both coming from a single text prompt using #Veo3 by @GoogleDeepMind .Whoever is cooking the model, let him cook! Congrats @Totemko and the team for the Google I/O live stream and the new Veo site!
Veo 3 looks incredible!
WE CAN TALK! I spent 2 hours playing with Veo 3 @googledeepmind and it blew my mind now that it can do sound! It can talk, and this is all out of the box...
I'm very happy to see useful upgrades for Laravel!
A couple of weeks ago we launched a small prototype of our useStream React and Vue hooks.
Today we're shipping a lot more to useStream. These new features allow you to easily build ChatGPT style streaming response experiences with Laravel and React or Vue.
Can't wait to see what you ship!
laravel.com/docs/12.x/respon…
We're close to a breakthrough moment. Now robots can be manufactured to replicate human degrees of freedom, all that is left is software! And we see how fast AIs are improving lately!
Sounds interesting...
Replying to @lovart_ai
🚀 BETA ALERT: Design Revolution is Breaking the Internet!
We're BLOWN AWAY by the response. You asked, we're delivering: 500 EXCLUSIVE VVVIP early access slots for Lovart.ai Beta Try-Outs!
🔥 FASTEST WAY IN:
1. Go to lovart.ai NOW
2. Join Waitlist
3. Follow @Lovart_ai
4. Retweet pinned post
First 500 VVVIP get: ✨ Direct Beta Access 💥 Founder-Level Special Perks 🔮 Priority Feature Requests
Spaces flying faster than AI can design! #LovartBeta #AIDesign
Had a bit of a meh day with @cursor. I had a directory of 100 php files that needed some phpdox/function parameters upgrading. Phpstan reported a linter error but getting cursor to fix each file in the directory proved such a headache that I ended up doing it manually.
Looking forward to trying out all these new @cursor_ai features!
Cursor 0.50 is rolling out right now and it has some HUGE changes
- background agents!1 it’s a preview but you can run multiple versions of cursor agent at the same time 🤯
- you can now drop full folders into context which is something I wanted very badly (make sure to enable Full folder contents from settings)
- multi root workspaces each with their own .cursor/rules folder
- export any chat to markdown or duplicate it to a new chat window
- the agent now has a search and replace tool to make much faster file edits
- inline edit got a glow up with cleaner UI plus quick full‑file edit (⌘⇧⏎) and “send to agent” (⌘L)
- simple pricing with 500 requests on all models and max mode is token based pricing (also big thing for me)
- max mode available for all top models!
Looks very interesting
🚀 One line. A full webpage. No hassle.
Introducing Web Dev – the ultimate tool for building stunning frontend webpages & apps using simple prompts in Qwen Chat.
🎨 Just say, "create a twitter website" — and boom! Instant code, ready to go.
No coding required. Just your imagination.
👉🏻 chat.qwen.ai/?inputFeature=w…
Explain what you want and what you have in as few tokens as possible!
when working in @cursor_ai, context is important. but it’s not about dumping your whole codebase in and hoping for the best
here’s how to actually make it work for you ↓
Qwen 3 just arrived and looks very impressive!
Introducing Qwen3!
We release and open-weight Qwen3, our latest large language models, including 2 MoE models and 6 dense models, ranging from 0.6B to 235B. Our flagship model, Qwen3-235B-A22B, achieves competitive results in benchmark evaluations of coding, math, general capabilities, etc., when compared to other top-tier models such as DeepSeek-R1, o1, o3-mini, Grok-3, and Gemini-2.5-Pro. Additionally, the small MoE model, Qwen3-30B-A3B, outcompetes QwQ-32B with 10 times of activated parameters, and even a tiny model like Qwen3-4B can rival the performance of Qwen2.5-72B-Instruct.
For more information, feel free to try them out in Qwen Chat Web (chat.qwen.ai) and APP and visit our GitHub, HF, ModelScope, etc.
Blog: qwenlm.github.io/blog/qwen3/
GitHub: github.com/QwenLM/Qwen3
Hugging Face: huggingface.co/collections/Q…
ModelScope: modelscope.cn/collections/Qw…
The post-trained models, such as Qwen3-30B-A3B, along with their pre-trained counterparts (e.g., Qwen3-30B-A3B-Base), are now available on platforms like Hugging Face, ModelScope, and Kaggle. For deployment, we recommend using frameworks like SGLang and vLLM. For local usage, tools such as Ollama, LMStudio, MLX, llama.cpp, and KTransformers are highly recommended. These options ensure that users can easily integrate Qwen3 into their workflows, whether in research, development, or production environments.
Hope you enjoy our new models!
Exciting times! Baidu's new models yesterday and then today Deepseek. How will the west react?
























