Sanin

Agreed. This moment is necessary. Law needs to signal where genAI stands on training, copyright, compensation, and liability. Music is clear, video mostly quiet, art in between. Clarity ends the void and lets the industry build responsibly.

@derivio_xyz @BNBCHAIN Start a proper journey

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@ZSkyX7 Useful information

Having an opposing party critising an convincing argument really helps to liberate the mind. It’s the sudden realization that I am in a hole I’ve been digging unconsciously.

@ziv_ravid @srush_nlp Very much detailed. Thanks for this

New episode of The Information Bottleneck is out 🥳 In this one, we talked with @srush_nlp, a researcher at Cursor and professor at Cornell, about the hottest topic - coding agents! We talked about how Cursor trains Composer, the challenges, and where all this is going. One point Sasha made stuck with me. Coding agents work really well, but only when you can specify a clear hill-climbing signal. A problem where the agent knows it's getting better. Karpathy tried this on nanochat a few weeks back, letting an agent run overnight to optimize the validation loss autonomously. The follow-ups were mixed. Sometimes the "improvement" was worse than classical methods. Most real problems don't come pre-packaged with a reward signal at all. You don't know if a new architecture is better until you've already run the experiment. You don't know if a refactor is cleaner until someone reads it. You don't know if a product decision worked until months later. A lot of what we call hard problems are hard precisely because the signal is missing, noisy, or expensive to get. I think the next big challenge isn't getting agents to solve problems. It's finding problems you can actually formalize as hill climbing, or building a cheap proxy that correlates with what you care about.

@jinyuaner_ I initially came for the likes and retweets, but I ended up finding the post really informative and helpful for anyone interested in side hustles!

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@getusdi Wow, great way to earn some stimmy

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@BendyWorld_ Hi Awesome Thread. Which tool did you use for visuals?

Every Nigerian crypto trader knows this pain… You make profit in USDT, then try to cash out to Naira. Suddenly: → Buyers ghosting → Rates changing last minute → Fake payment alerts → Hidden fees chopping your profit Off-ramping shouldn't feel like a risk. 😩

@ChestoAI Every tool was once scary: electricity, computers, the internet. AI is next. Welcome to ChestoAI.

Hello world!

@WaterX_app This is truly an amazing read!

AI will function as a highly capable junior researcher, autonomous yet guided, accelerating scientific discovery and model development at unprecedented speed.

Ready for this years Google i/o :)

Built on a next-gen CogViT visual encoder with over 30 task collaborative reinforcement learning, it is compatible with agent frameworks like Claude Code and OpenClaw. 4. GLM-5V-Turbo is available via chat.z.ai and API.

The model excels in design draft reconstruction, visual code generation, and GUI agent tasks, while maintaining stable performance on text-based coding benchmarks.

1. Zai has released GLM-5V-Turbo, a model that integrates visual understanding with code generation, capable of processing images, videos, design drafts, and document layouts, and generating runnable code from screenshots and web interfaces.